REVIEW

Acta Biochim. Pol., 24 July 2026

Volume 73 - 2026 | https://doi.org/10.3389/abp.2026.16436

The role of gut microbiome disruption in the development of metabolic dysfunction-associated kidney disease

  • 1. Department of Nephrology, Transplantology and Internal Medicine, Pomeranian Medical University, Szczecin, Poland

  • 2. Department of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University, Szczecin, Poland

  • 3. Uniwersytet Medyczny im Karola Marcinkowskiego w Poznaniu, WydziaƂ Medyczny, PoznaƄ, Poland

Abstract

Metabolic dysfunction-associated kidney disease (MDAKD) is increasingly recognised as a major clinical consequence of the global rise in obesity, type 2 diabetes, hypertension, and cardiovascular disease. Accumulating evidence suggests that the gut microbiota may contribute to the development and progression of metabolic and renal disorders through complex mechanisms involving microbial metabolites, immune activation, and disruption of the intestinal barrier. This review provides an overview of current knowledge regarding the role of the gut microbiota and gut-derived metabolites in the pathogenesis of chronic kidney disease (CKD) associated with metabolic disorders. Special attention is given to short-chain fatty acids, bile acids, N-trimethylamine oxide, branched-chain amino acids, indoxyl sulfate, p-cresol sulfate, and lipopolysaccharides. Accumulating experimental and clinical evidence suggests that dysbiosis may contribute to chronic low-grade inflammation, insulin resistance, endothelial dysfunction, lipotoxicity, and profibrotic signaling pathways associated with kidney injury and cardiovascular complications. The review also identifies significant limitations in current microbiome research, such as the predominance of animal studies, methodological challenges in metabolite quantification, and difficulties in establishing causality in humans. Emerging therapeutic strategies targeting the gut microbiota, including dietary interventions, prebiotics, probiotics, sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists, and faecal microbiota transplantation, may offer novel approaches to slowing CKD progression and improving metabolic health. However, further mechanistic and clinical studies are required to determine the efficacy of microbiota-targeted therapies in MDAKD.

Introduction

The gut microbiota constitutes a complex ecosystem within the human gastrointestinal tract, containing approximately 1011 bacteria per Gram in the colon and composed primarily of members of the phyla Bacteroidota (formerly Bacteroidetes) and Bacillota (formerly Firmicutes) (Sender et al., 2016). This microbial community plays a critical role in host nutrition, metabolism and immune responses, and facilitates continuous, bidirectional communication between multiple organs. Despite recent advances, the gut-kidney axis remains insufficiently explored (Tsuji et al., 2024). The clinical importance of this axis is highlighted by the global prevalence of cardiovascular diseases (CVD), which frequently co-occur with chronic kidney disease and metabolic disorders such as type 2 diabetes (T2D) and obesity. In 2024, an estimated 589 million adults worldwide were affected by diabetes, resulting in approximately 3.4 million deaths, underscoring the substantial public health burden of these conditions (IDF, 2025). Additionally, the cluster of risk factors defining metabolic syndrome—abdominal obesity, hypertension, and hyperglycemia—is associated with a marked increase in the risk of developing both T2D and CVD (Lin et al., 2022). The convergence of these systemic metabolic disorders has led to the identification of metabolic dysfunction-associated kidney disease (MDAKD), a distinct clinical entity in which kidney dysfunction arises from the combined effects of insulin resistance, lipotoxicity and chronic systemic inflammation (). Substantial evidence indicates that alterations in the gut microbiota, termed dysbiosis, may contribute to the pathogenesis of these chronic conditions (Liu et al., 2025). Dysbiosis may serve as a significant co-factor in the development of MDAKD and, in cases of clinically significant T2D, may also accelerate progression to diabetic kidney disease (DKD), which is recognized as the leading cause of end-stage renal disease (ESRD) globally. This microbial imbalance initiates several pathological pathways, including metabolic dysregulation, immune activation, and impairment of the intestinal barrier (Fei et al., 2025). These disturbances can mediate kidney injury by systemic translocation of harmful microbial metabolites and by maintaining a persistent inflammatory state, thereby promoting the onset and progression of MDAKD (Jiang H. et al., 2025). Elucidating the specific pathogenic mechanisms by which the gut microbiota and its metabolites affect renal function is therefore essential for developing novel and effective therapies to slow the progression of this metabolic-renal syndrome (Mao et al., 2023).

This review aims to outline the interactions among gut microbiota, metabolic disorders, and the development and progression of CKD, with particular emphasis on the role of microbiota-derived metabolites.

Development of chronic kidney disease in metabolic disorders

There is growing interest in understanding the role of metabolic disorders in the development of chronic kidney disease, now recognized as a component of the newly defined clinical syndrome known as MDAKD. MDAKD refers to chronic kidney disease in individuals with metabolic disorders such as diabetes, insulin resistance, obesity, or hypertension () and emphasizes the causal relationship between metabolic disorders and kidney disease. The mechanisms underlying metabolic disorder-induced kidney damage are complex and remain incompletely understood. This chapter reviews the principal pathways linking metabolic disorders to kidney damage.

Obesity and CKD

Obesity is a recognized and independent risk factor for chronic kidney disease. Accumulation of visceral fat within the abdominal cavity is a defining characteristic of metabolic syndrome and is associated with an increased risk of kidney disease (Stasi et al., 2022). This process involves multiple mechanisms, including hemodynamic alterations, lipid metabolism disturbances, and hormonal dysregulation. Elevated visceral fat, resulting from increased leptin production, stimulates adipocytes to overproduce aldosterone and modifies mineralocorticoid receptor activation (Vecchiola et al., 2016). Activation of the renin-angiotensin-aldosterone system (RAAS) and heightened sympathetic activity in individuals with obesity further elevates aldosterone levels (Sharma and Engeli, 2006). Aldosterone enhances sodium reabsorption in renal tubules, leading to sodium and water retention. Additionally, RAAS activation contributes to glomerular hyperfiltration by exerting a greater effect on efferent arterioles compared to afferent arterioles (Navar, 2014). To compensate for the increased glomerular filtration rate (GFR) observed in obesity, glomerular hypertrophy (glomerulomegaly) develops, followed by mechanical stretching of podocytes, which are unable to accommodate the increased glomerular volume (). When podocytes reach their stretching limit, their foot processes detach from the glomerular basement membrane. This event leads to the development of focal sclerotic changes, termed obesity-associated glomerulopathy in the context of obesity (Zhang and Lerman, 2017). At this stage, obesity-related kidney damage becomes clinically evident, presenting as proteinuria and/or reduced GFR in laboratory assessments (Salvatore et al., 2017). Weight gain also increases perirenal adipose tissue, which may compress the thin segment of the loop of Henle and the vasa recta vessels in the renal medulla, thereby reducing renal tubular flow. Reduced tubular flow, combined with RAAS activation, decreases sodium excretion and leads to secondary glomerular hyperfiltration (Parvanova et al., 2023). Compression of the kidney further stimulates juxtaglomerular apparatus cells in the macula densa to release renin, amplifying RAAS activation. Concurrently, increased perirenal adipose tissue increases intrarenal pressure, leading to oedema and renal tissue inflammation (Kanbay et al., 2025). In obesity, fat also accumulates in the renal interstitium, a condition known as fatty kidney, which contributes to compression of renal vessels, increased intrarenal pressure, and further RAAS activation, ultimately causing kidney damage (Parvanova et al., 2023). Adipokines released by renal fat cells promote renal parenchymal inflammation and fibrosis, primarily by upregulating transforming growth factor beta (TGF-ÎČ1) expression (). Increased fatty acid availability also leads to greater uptake by podocytes and tubular cells, potentially inducing apoptosis when the cellular capacity for lipid oxidation or storage is exceeded (Schelling, 2022).

Insulin resistance, diabetes mellitus, and CKD

Diabetes represents the primary cause of chronic kidney disease in numerous countries. Kidney damage may occur as early as the development of insulin resistance, preceding the onset of overt diabetic symptoms. Similar to obesity, insulin resistance induces sodium retention and vascular endothelial contraction, which in turn activates the RAAS (Sarafidis and Ruilope, 2006). Insulin resistance also promotes lipid droplet accumulation in renal tubular cells by increasing the activity of sterol regulatory element-binding protein 1c (SREBP-1c), ultimately leading to tubular atrophy and renal interstitial fibrosis (Li et al., 2024). In the initial stages DKD, glomerular hyperfiltration develops due to impaired regulation of afferent and efferent arteriolar tone, a consequence of increased glucose uptake in proximal tubular cells (Vallon and Thomson, 2020). Prolonged dilatation of the afferent arteriole in the context of elevated glucose uptake may lead to glomerular enlargement and proliferation of mesangial cells and the glomerular basement membrane (). Hyperglycemia is a critical factor in the pathogenesis of diabetic kidney damage. Hyperglycemia increases endothelin-1 production, a potent vasoconstrictor (Park et al., 2000). Elevated blood glucose and endothelin-1 levels contribute to podocyte cytoskeletal breakdown and subsequent apoptosis (Hu et al., 2024). In hyperglycemic states, proximal tubular cells increase glucose uptake, a process that is energetically demanding. These cells rely exclusively on fatty acids as an energy source. Increased ATP consumption for glucose transport leads to hypoxia in proximal tubular cells, activating the hypoxia-inducible factor (HIF) and AMP-activated protein kinase (AMPK) pathways and resulting in hypertrophy of these cells (Mohandes et al., 2023). Persistent hyperglycemia induces a metabolic shift to the glycolytic pathway in these cells (Zhang et al., 2018). Inefficient fatty acid oxidation in the proximal tubules, due to abnormal energy expenditure and metabolic alterations, is considered the primary cause of renal tubular damage and fibrosis in diabetes (Lv et al., 2025).

Hypertension and CKD

Elevated blood pressure, similar to the aforementioned metabolic changes, contributes to kidney damage and the progression of chronic kidney disease (Lin et al., 2024). Furthermore, metabolic disorders such as obesity and diabetes promote the onset of hypertension, primarily through excessive sympathetic nervous system activity and activation of the RAAS (Kalil and Haynes, 2012). Glomerular hyperfiltration is the principal factor accelerating kidney damage in hypertension. Mechanisms underlying this process include reduced nephron number, increased sodium retention and subsequent extracellular volume expansion, vascular endothelial dysfunction, and activation of both the RAAS and the sympathetic nervous system (). As hypertension advances, renal blood flow diminishes, predominantly affecting the renal tubules. Resulting ischemia further enhances angiotensin II synthesis, which exerts vasoconstrictive effects and stimulates renal parenchymal cell proliferation, thereby worsening both hemodynamic and extravascular injury, including fibrosis ().

Subsequent sections examine the associations between gut microbiota and obesity, T2D, and CVD, with particular emphasis on the mediating role of microbiota-derived metabolites in the potential development of these conditions.

Gut microbiota and obesity

Overweight and obesity can be associated with disruption in gut microbiota diversity and function, referred to as dysbiosis. Multiple studies, first in animal models and subsequently in obese individuals, have identified alterations in the relative abundance of two bacterial phyla: Bacillota and Bacteroidota. Most studies report an increased proportion of Bacillota and a concurrent decrease in Bacteroidota (Kallus and Brandt, 2012). Additionally, individuals with obesity often display reduced gut microbiota diversity (DĂ­az Perdigones et al., 2025). Despite pending research, a definitive microbial pattern of obesity has not yet been determined. Current evidence suggests the gut microbiota may influence obesity development (Sasidharan Pillai et al., 2024). Possible mechanisms associated with gut dysbiosis that may promote obesity include imbalances in energy homeostasis, increased fat synthesis and storage, and altered appetite regulation. However, these findings remain inconclusive and have not been confirmed by later studies (Magne et al., 2020). Additionally, randomized human trials of gut microbiota transplantation have shown no effect on body weight (Dalby, 2021). The following section outlines proposed mechanisms linking altered gut microbiota to obesity. Importantly, most mechanistic evidence originates from animal studies, whereas evidence supporting these pathways in humans remains limited. Therefore, the mechanisms described below should be interpreted as biologically plausible hypotheses rather than established causal pathways in human obesity.

Changes in energy balance

Studies in mice have shown that obesity-associated alterations in gut microbiota composition may increase energy harvest from ingested food (Turnbaugh et al., 2006). Proposed mechanisms include expansion of specific bacterial taxa, such as Thomasclavelia ramosa (formerly Clostridium ramosum), which has been associated with increased intestinal expression of nutrient transporters including glucose transporter 2 (GLUT2) and CD36 (a fatty acid translocase) (Woting et al., 2014). Obesity-related microbiota has also been linked to an increased abundance of microbial enzymes involved in polysaccharide degradation, potentially enhancing fermentation and production of short-chain fatty acids (SCFAs) (Turnbaugh et al., 2006). In addition, interactions between hydrogen-producing bacteria and methanogenic archaea may increase fermentation efficiency and SCFA generation (Zhang et al., 2009). In experimental animal models, increased energy harvest is not necessarily accompanied by a proportional increase in energy expenditure. Proposed explanations include alterations in bile acid metabolism and SCFA signaling. In obese mice, changes in gut microbiota composition have been associated with reduced production of secondary bile acids and altered activation of TGR5- and FXR-dependent pathways, potentially leading to impaired thermogenesis and reduced browning of white adipose tissue (Gao et al., 2025). Early studies in mice suggested that the gut microbiota may promote energy storage by suppressing intestinal fasting-induced adipose factor (FIAF/ANGPTL4) expression, thereby facilitating lipid accumulation (). However, subsequent studies in human intestinal cell models demonstrated that SCFAs can induce ANGPTL4/FIAF expression via PPARγ activation (), suggesting that the relationship among SCFAs, FIAF and energy metabolism is more complex than initially proposed. In addition, butyrate has been shown to increase PGC-1α and UCP1 expression and enhance thermogenesis in mice (Gao et al., 2009). Overall, the effects of SCFAs on energy expenditure remain incompletely understood. Taken together, evidence from rodent studies suggests that obesity-associated alterations in gut microbial composition may influence energy balance through effects on nutrient harvest, bile acid metabolism and SCFA signaling. However, these mechanisms have been demonstrated predominantly in animal models, and direct evidence that they make a substantial contribution to obesity development in humans remains limited.

Promotion of fat production and storage

Alterations in bile acid metabolism have been associated with obesity and obesity-related changes in gut microbiota composition. In murine models, obesity-associated dysbiosis has been linked to changed microbial conversion of primary to secondary bile acids, resulting in shifts in bile acid composition (Sayin et al., 2013). These compositional changes can influence bile acid–receptor signaling, including FXR pathways, since FXR activity is differentially regulated by specific bile acid species, thereby affecting hepatic lipid and glucose metabolism, as demonstrated in mouse studies (Trauner et al., 2010). In experimental mouse models, alterations in FXR signaling have been associated with changes in intestinal FGF15/19 production and downstream effects on hepatic lipid metabolism. Disruption of this signaling axis may contribute to increased lipogenic pathways, although the underlying mechanisms are complex and involve multiple regulatory steps (). The relevance of these pathways to human obesity remains uncertain. SCFAs can contribute to gluconeogenesis and serve as substrates for lipid synthesis, acting as precursors for the synthesis of fatty acids and cholesterol (). In contrast, studies in mice have identified an association between butyric acid and reduced lipogenesis, mediated by inhibition of peroxisome proliferator-activated receptor Îł (PPAR-Îł) activity and stimulation of ÎČ-oxidation (Zheng et al., 2023). Collectively, findings from experimental animal studies underscore the complexity of SCFA-mediated regulation of lipid metabolism. Although these pathways may influence fat accumulation under experimental conditions, their quantitative contribution to obesity development in humans remains unclear.

Regulation of the appetite

Alterations in the gut microbiota can also affect appetite regulation. Evidence from rat models indicates that the production of gut hormones, including peptide YY (PYY) and glucagon-like peptide 1 (GLP-1), is closely associated with the presence of bile acids and SCFAs (Sun et al., 2018; ). Mouse studies demonstrate that increased SCFA production promotes satiety and reduces appetite, potentially through activation of G protein-coupled receptors 41 (GPR41) and 43 (GPR43). In mouse studies, activation of these receptors enhances the production and secretion of appetite-suppressing gut hormones, specifically GLP-1 and PYY (Cunningham et al., 2021). Notably, concentrations of these hormones are often reduced or dysregulated in obese individuals. SCFAs may also exert central effects by acting directly in the hypothalamus. In mouse models, SCFAs induce the expression of α-melanocyte-stimulating hormone, which has an anorexigenic effect, while simultaneously inhibiting the expression of agouti-related protein (AGRP), which has an orexigenic effect (Frost et al., 2014). The gut microbiota may modulate host neurochemical pathways implicated in appetite regulation, such as γ-aminobutyric acid (GABA) signaling and serotonin metabolism. Specific intestinal microorganisms can produce GABA, and the gut microbiota can influence host serotonin synthesis and tryptophan metabolism (Yano et al., 2015; Strandwitz et al., 2019). Nevertheless, neither peripheral serotonin nor microbiota-derived serotonin crosses the blood-brain barrier to a significant degree under normal physiological conditions (). Likewise, direct transport of microbiota-derived GABA into the central nervous system has not been established. Consequently, the influence of the gut microbiota on central appetite regulation is thought to act indirectly, for example, by modulating tryptophan availability, vagal signaling, immune pathways, or gut hormone secretion (Morais et al., 2021; Cryan et al., 2019). Most evidence supporting these mechanisms derives from animal studies, and direct evidence that microbiota-induced neurochemical changes substantially influence appetite regulation in humans remains limited.

Challenges and limitations in studying gut microbiota among individuals with obesity

Although numerous studies have reported associations between obesity and gut microbiota composition, caution is warranted regarding the immediate practical application of these findings. This is particularly important because much of the mechanistic evidence discussed in the literature originates from experimental animal models rather than human intervention studies. This caution is necessary due to persistent challenges in interpreting microbiota research. For example, identification of microbiota components is typically conducted at various taxonomic levels, often resulting in conclusions based on higher taxa rather than specific species. The widely reported imbalance in the Bacteroidetes/Firmicutes (now Bacteroidota/Bacillota) ratio involves two broad bacterial groups, each encompassing multiple species. Additionally, studies investigating specific bacterial species as potential therapeutic agents frequently lack mechanistic explanations. Moreover, even rigorous animal experiments may not adequately distinguish the bidirectional interactions between diet and microbiota (; ).

The mechanisms outlined above have been demonstrated predominantly in rodent models and should therefore be interpreted with caution. Although associations between obesity and gut microbiota composition have been reported in humans, causal pathways remain poorly established. Furthermore, randomized clinical studies, including fecal microbiota transplantation trials, have generally failed to demonstrate meaningful effects on body weight. Consequently, the translational relevance of many experimentally described mechanisms remains uncertain and requires confirmation in well-controlled human studies.

Gut microbiota and T2D

Alterations in gut microbiota composition have been demonstrated in both animal models and humans with T2D. These alterations primarily affect microbial diversity at the phylum and class levels. However, no consistent microbiota profile has yet been identified as associated with the development of T2D. Similar to observations in obesity, individuals with diabetes typically exhibit increased abundance of the Bacillota and Pseudomonadota phyla, along with a concurrent decrease in Bacteroidota abundance (Li et al., 2020). Opportunistic microorganisms, including Bacteroides caccae, Hungatella hathewayi, Thomasclavelia ramosa, Clostridium symbiosum, Eggerthella lenta, and Escherichia coli, are frequently detected in the gut microbiome of individuals with T2D. In a comparative study of healthy individuals and those diagnosed with T2D, Akkermansia muciniphila and Faecalibacterium prausnitzii were found to confer protection against the development of T2D (Park et al., 2023). Akkermansia species play a central role in maintaining the integrity of the mucin layer and reducing inflammation, and reduced numbers of Akkermansia colonies have been observed in patients with diabetes (Zhang et al., 2021). Faecalibacterium prausnitzii appears to reduce systemic inflammation and improve insulin sensitivity, as demonstrated in mouse models (Xuan et al., 2023). The following section outlines potential mechanisms by which gut microbiota metabolites may contribute to the development of insulin resistance and, consequently, type 2 diabetes.

SCFAs

Patients with T2D often exhibit a reduced abundance of SCFA-producing bacteria, particularly butyrate-producing taxa such as Faecalibacterium, Roseburia, and Eubacterium (Qin et al., 2012). Butyric acid is responsible, amongst other things, for stabilizing the intestinal barrier by promoting the expression of tight junction proteins such as claudin-3 and zonula occludens-1, and by increasing mucin production. Reduced butyric acid production, as observed in individuals with T2D or impaired glucose tolerance, can compromise intestinal barrier integrity, as demonstrated in studies using human intestinal epithelial cell model (Gaudier et al., 2004). SCFAs also contribute to the regulation of insulin sensitivity and the regulation of carbohydrate homeostasis partly by activating G protein-coupled receptors in the gut, including GPR41, GPR43, and GPR109a (Cunningham et al., 2021). Activation of these receptors enhances the release of GLP-1 and PYY, as shown in mouse models (). GLP-1 stimulates insulin secretion, inhibits gastric emptying, increases hepatic glycogen storage, and reduces de novo glucose production in hepatocytes, primarily through insulin-mediated mechanisms. PYY primarily inhibits intestinal motility, gastric emptying, and pancreatic secretion, and decreases food intake. Additionally, SCFAs may reduce fat accumulation by lowering PPAR-Îł receptor expression and modulating the immune system to decrease inflammation, as demonstrated in mouse studies (den Besten et al., 2015).

Significant attention is given to the role of SCFAs in this article. SCFAs reach physiologically relevant concentrations in the large intestine, where acetate, propionate, and butyrate are present at millimolar levels and directly influence epithelial metabolism and immune regulation. In contrast, SCFA concentrations in peripheral blood are substantially lower, typically remaining in the low micromolar range, particularly for butyrate and propionate, due to extensive intestinal and hepatic metabolism. SCFAs achieve concentrations sufficient to locally activate GPR41 and GPR43 receptors in the intestine and portal circulation. Reported EC50 values for SCFA-mediated activation of GPR41 and GPR43 generally lie within the high micromolar to low millimolar range (approximately 0.1–1 mM, depending on the receptor subtype, ligand, and assay system). However, systemic peripheral concentrations may often remain near or below reported EC50 (half maximal effective concentration) ranges for receptor activation in experimental systems, potentially limiting robust receptor engagement under physiological conditions. This discrepancy is a frequently overlooked limitation when extrapolating the mechanisms of SCFA receptor activation from cell culture studies to human systemic physiology (Sankarganesh et al., 2025; Martin-Gallausiaux et al., 2021).

Bile acids

Dysbiosis of the gut microbiota disrupts bile acid metabolism, notably by promoting the conversion of primary to secondary bile acids via bacterial enzymes, primarily dehydroxylases (Ridlon et al., 2016). Beyond facilitating lipid digestion, bile acids function as signaling molecules that regulate metabolic processes by activating specific receptors, including FXR and TGR5. FXR activation modulates lipid metabolism, including reduced triglyceride levels, enhanced fatty acid ÎČ-oxidation, and improved glucose tolerance and insulin sensitivity. Alterations in gut microbiota composition can impair FXR-dependent signaling, thereby contributing to metabolic disorders associated with insulin resistance and T2D (Mori et al., 2022). Experimental studies indicate that secondary bile acids also serve as ligands for the TGR5 receptor, whose activation supports intestinal barrier integrity and stimulates secretion of GLP-1, thereby enhancing insulin release (Gao et al., 2022). In dysbiotic conditions, altered secondary bile acid profiles may reduce TGR5 activation, thereby exacerbating insulin resistance and hyperglycemia (Gurung et al., 2020).

Amino acids

The gut microbiota contributes to amino acids metabolism, particularly branched-chain amino acids (BCAA) and aromatic amino acids (AAA) metabolism. Human studies indicate that elevated concentrations of BCAA and AAA may predict the future development of T2D (Najafi et al., 2023). Increased levels of BCAA, including leucine, isoleucine and valine, have been observed in patients with T2D (Mosley et al., 2024). These amino acids can activate the mammalian target of rapamycin (mTOR)/p70 S6 kinase (p70S6K) pathway, which inhibits phosphorylation of the insulin receptor substrate and impairs insulin signalling, as demonstrated in skeletal muscle cell lines (Tremblay and Marette, 2001). Elevated blood BCAA levels may inhibit AMPK activation, leading to increased hepatic gluconeogenesis and decreased glucose uptake by peripheral tissues, ultimately increasing blood glucose levels, as shown in rat models (Saha et al., 2010). In cases of gut dysbiosis, altered activity of BCAA-degrading enzymes may lead to excessive BCAA accumulation in the bloodstream. Mouse model studies have identified certain bacterial strains, such as Prevotella copri and Bacteroides vulgatus, as contributors to increased BCAA biosynthesis (Gojda and Cahova, 2021). In individuals with insulin resistance or T2D, elevated BCAA concentrations may also result from impaired metabolism. Rodent studies have shown that increased plasma BCAA concentrations are associated with reduced activity and dysregulation of enzymes involved in BCAA catabolism, such as branched-chain amino acid transaminase and the branched-chain α-ketoacid dehydrogenase complex (She et al., 2007). Deficiencies in these enzymes impair lipid and glucose oxidation by contributing to mitochondrial dysfunction (Lerin et al., 2016). Similarly, concentrations of AAA, including tyrosine, tryptophan and phenylalanine, are often elevated in patients with T2D (Li et al., 2023). Indole propionate (IPA), a specific metabolite of tryptophan produced primarily by the gut microbiota, is closely linked to dietary fibre intake. Higher blood concentrations of IPA are associated with a lower risk of developing T2D and improved insulin secretion in humans (Tuomainen et al., 2018).

Elevated BCAA levels are consistently observed in insulin-resistant individuals and are strongly associated with metabolic dysfunction. However, current evidence does not support a direct causal relationship whereby physiological concentrations of BCAA alone are sufficient to induce insulin resistance in humans. Instead, elevated circulating BCAA are best interpreted as biomarkers of impaired amino acid metabolism, while potentially contributing to the modulation and progression of metabolic disease in a context-dependent manner (Neinast et al., 2019).

Although several mechanistic pathways linking microbiota-derived metabolites to insulin resistance have been identified, much of the supporting evidence comes from animal models and cell culture systems, with direct confirmation in humans limited.

Gut microbiota and CVD

Cardiovascular diseases cover a wide spectrum of conditions, including hypertension, atherosclerosis, peripheral vascular disease, heart valve disease, and heart failure, among others. Recent studies on the relationship between gut microbiota and the development of CVD have led to significant advances in understanding the mechanisms of this relationship (Muttiah and Hanafiah, 2025). Undoubtedly, some of the major risk factors for the development of CVD are lipid disorders, insulin resistance, diabetes, obesity, and chronic low-grade inflammation (Haybar et al., 2019). The role of microbiota in the development of these disorders has been described above. This part will focus on the changes in gut microbiota and its metabolites in relation to the development and progression of atherosclerosis, hypertension, and heart failure.

Atherosclerosis

Multiple factors contribute to the development of atherosclerosis, notably chronic inflammation driven by lipopolysaccharide (LPS) derived from a dysbiotic gut microbiota. The presence of LPS in the bloodstream promotes inflammation and foam cell formation by activating the Toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88) pathway. Additionally, bacterial DNA of possible intestinal origin has been detected in human atherosclerotic plaques (Nicolaou et al., 2012). Comparative analyses of the microbiota in patients with atherosclerosis have revealed significant differences from healthy individuals. Specifically, individuals with atherosclerosis exhibit increased abundance of Streptococcus and Enterobacteriaceae species (Zhu et al., 2023). In patients with coronary artery disease (CAD), elevated levels of Lactobacillales and Clostridium subcluster XIVa colonies have been observed in the gut microbiota (Emoto et al., 2017). Trimethylamine N-oxide (TMAO) represents a principal link between gut microbiota and atherosclerosis. Gut bacteria metabolize choline, phosphatidylcholine, and carnitine from dietary sources into trimethylamine, which is subsequently oxidized to TMAO in the liver (). Elevated plasma TMAO levels are associated with an increased risk of coronary plaque rupture (Tan et al., 2019). Several mechanisms have been identified through which elevated TMAO levels may promote pro-atherosclerotic effects. TMAO can upregulate macrophage scavenger receptors including CD36, destabilizing cholesterol metabolism and leading to foam cell formation, as demonstrated in mouse studies (Wang et al., 2011). Inhibition of CYP7A1 by TMAO limits bile acid synthesis, thereby reducing cholesterol excretion and reabsorption, as shown in mouse models (Koeth et al., 2013). Destabilization of the vascular endothelium, induced by TMAO-mediated activation of NF-ÎșB (nuclear factor kappa B) and the inflammasome, increases expression of endothelial inflammatory factors in mice (Ma et al., 2017). In addition to upregulating inflammatory factors, TMAO may disrupt intercellular junction regulation and alter endothelial permeability by activating High Mobility Group Box 1 (HMGB1). The resulting endothelial dysfunction contributes to the initiation and progression of atherosclerotic changes, as demonstrated in mouse endothelial cell lines (Singh et al., 2019). TMAO may also enhance platelet hyperreactivity, promoting platelet aggregation and intravascular clot formation. This effect is partly mediated by increased intracellular calcium release, as observed in mouse models (Zhu et al., 2016). In contrast, SCFAs, another group of gut microbiota metabolites, exert anti-atherosclerotic effects by inhibiting inflammation, lowering cholesterol levels, and reducing lipid deposition (Tonch-Cerbu et al., 2025). Secondary bile acids may also confer protection against atherosclerosis, primarily by regulating cholesterol excretion through bile salt hydrolase activity and the FXR/CYP7A1 pathway (Lau et al., 2017).

Hypertension

Hypertension is among the most prevalent medical conditions globally. Research has established an association between the gut microbiota and blood pressure regulation. Although studies involving patients with hypertension remain limited, evidence indicates that these individuals exhibit reduced microbial diversity compared to those with normal blood pressure (Yang et al., 2015). In addition, individuals with elevated blood pressure display a decreased abundance of butyrate-producing bacteria, such as Butyricimonas and Fusobacterium (Kim et al., 2018). Positive correlations have also been identified between the abundance of Ruminococcaceae, Streptococcus, and Turicibacter and blood pressure. Moreover, a higher Bacillota/Bacteroidota ratio has been reported in individuals with hypertension (Yang et al., 2015). Recognition of gut dysbiosis as a potential contributor to hypertension has prompted the development of experimental gut microbiota transplantation. Transferring microbiota from hypertensive individuals to healthy mice increases blood pressure in the recipients (Li et al., 2017). Among gut microbiota metabolites, SCFAs are implicated in blood pressure regulation. Animal studies have demonstrated that SCFAs influence blood pressure through interactions with G protein-coupled receptors, including GPR41 and olfactory receptor 78 (Olfr78). Activation of GPR41 by SCFAs is generally associated with lower blood pressure, whereas stimulation of Olfr78 may increase it. Notably, the EC50 values of SCFAs, representing the concentrations required to achieve 50% of the maximum effect, differ substantially between Olfr78 and GPR41 (Pluznick, 2014). This difference partly accounts for the simultaneous action of SCFAs on both receptors despite their opposing effects on blood pressure. High salt intake is a recognized risk factor for hypertension. Sodium absorption primarily occurs in the intestine, where the gut microbiota likely plays a significant role. Rodent studies have shown that a high-sodium diet (HSD) alters the composition of the gut microbiota (Hamad et al., 2022). Specifically, diet-induced hypertensive rats exhibit increased populations of Erwinia and Corynobacteriaceae, along with a reduction in Anaerostipes (). The HSD is also associated with decreased Lactobacillus murinus populations and increased induction of type 17 T helper cells, both of which are correlated with hypertension development in mouse models (Wilck et al., 2017).

Heart failure

Heart failure, the most common end-stage manifestation of various cardiovascular diseases, has recently been associated with alterations in the gut microbiota. Intestinal ischaemia resulting from reduced cardiac output may cause intestinal wall oedema, compromise the intestinal barrier, promote bacterial translocation and inflammation, and alter microbiota composition, potentially accelerating heart failure progression (Sandek et al., 2007). In patients with chronic heart failure, increased proliferation of pathogenic microorganisms, such as Shigella, Salmonella, Campylobacter, and Yersinia enterocolitica, has been documented. A positive correlation exists between heart failure severity and elevated colony counts of Campylobacter, Shigella and Candida (Pasini et al., 2016). Elevated TMAO concentrations have been observed in patients with heart failure, with higher TMAO levels associated with increased mortality and a greater need for heart transplantation (Kanitsoraphan et al., 2018). In murine models of heart failure induced by aortic stenosis, supplementation with choline (a TMAO precursor) and TMAO itself led to increased circulating TMAO, greater myocardial fibrosis, and worsened cardiac function (Organ et al., 2016). Studies in rat models indicate that TMAO exacerbates myocardial fibrosis and ventricular remodelling, thereby contributing to heart failure development (Li X. et al., 2019). Although the precise mechanisms remain unclear, TMAO may influence the heart through pathways such as activation of the NLRP3 inflammasome and the TGF-ÎČ/SMAD3 axis, which can promote myocardial fibrosis, as shown in mouse studies (Li Z. et al., 2019). Individuals with heart failure also exhibit reduced abundance of butyrate-producing bacteria, particularly from the Lachnospiraceae and Ruminococcaceae families (TrĂžseid et al., 2020). Another short-chain fatty acid, propionate, may attenuate cardiac hypertrophy and fibrosis, primarily by modulating regulatory T cells, as demonstrated in mouse studies (). In congestive heart failure, both the quantity and composition of microbiota-derived bile acids are altered, with studies reporting decreased concentrations of primary bile acids and increased levels of certain secondary bile acids (TrĂžseid et al., 2020). Additionally, the microbiota metabolite indoxyl sulfate is linked to myocardial fibrosis and cardiac remodelling, as evidenced in rat models (Lekawanvijit et al., 2010).

This chapter has frequently discussed the potential role of TMAO in the development of CVD. Current evidence indicates that circulating TMAO levels in patients with CVD are associated with adverse metabolic and cardiovascular outcomes, and elevated plasma concentrations have been consistently reported in individuals with atherosclerosis, heart failure, and other cardiovascular conditions. Higher TMAO levels are correlated with an increased risk of major adverse cardiovascular events and mortality (Schiattarella et al., 2017). However, it remains uncertain whether the concentrations of TMAO observed in humans are independently sufficient to directly induce cardiovascular or metabolic dysfunction. Renal function, dietary patterns, gut microbiota composition, and overall cardiometabolic health significantly influence circulating TMAO levels, complicating the establishment of direct causality. Consequently, TMAO is generally regarded as both a biomarker and a potential modulator of CVD progression, rather than a definitively established primary causal factor ().

Several mechanisms linking microbiota-derived metabolites to the development of CVD have been identified. However, most mechanistic evidence originates from animal models and in vitro studies. Therefore, these pathways should currently be considered biologically plausible rather than fully established cause-and-effect processes in humans. Additional human studies are required to confirm their clinical significance.

Gut microbiome and CKD

The relationship between gut microbiota and CKD is bidirectional. Uremic toxins circulating in the blood of patients with CKD contribute to the development of gut dysbiosis. Conversely, altered gut microbiota produces metabolites that, upon entering the bloodstream, may accelerate CKD progression (Noce et al., 2022). In progressive CKD, both quantitative and qualitative changes in the microflora coincide with intestinal barrier dysfunction and increased intestinal wall permeability. Elevated blood urea concentrations promote the colonisation and proliferation of microorganisms that utilise urea as an energy source, as demonstrated in rat models (Zhou et al., 2024). This process leads to increased ammonia release into the intestinal lumen. Ammonia has been shown to increase intestinal permeability by altering intercellular junctions, as evidenced in studies on human colorectal cancer cell lines (Yokoo et al., 2021). Additional factors contributing to gut microbiota dysbiosis in CKD include increased antibiotic use, iron therapy for anaemia, increased delivery of undigested protein to the colon, and a tendency towards constipation (). Regardless of the underlying cause, the gastrointestinal tract of patients with CKD exhibits proliferation of Enterobacteriae, Enterococci, Lachnospiraceae and Ruminococcaceae, alongside a decline in Lactobacillaceae, Prevotellaceae, Bacteroidaceae and Bifidobacterium spp. (Tourountzis et al., 2022). An increase in the production of intestinal urea metabolites is also observed (). The combined effects of microbial metabolite production, compromised intestinal barrier, and neuroendocrine immune system, may contribute to CKD progression and the development of complications in the context of gut dysbiosis (). Key microbial metabolites implicated include indoxyl sulfate (IS), p-cresol sulfate (pCS) and TMAO, which may play significant roles in CKD pathogenesis and complication development (Tsuji et al., 2024). Blood concentrations of these metabolites are elevated in patients with CKD, as demonstrated in multiple studies (Pelletier et al., 2019; RodrĂ­guez-GarcĂ­a et al., 2025). Indoxyl sulfate, produced via hepatic metabolism of indole (a tryptophan metabolite), has been linked to peripheral vascular disease and thrombosis in rat studies (Karbowska et al., 2018). Experimental studies in rodents indicate that IS may influence the expression of genes involved in renal interstitial fibrosis, specifically TGF-ÎČ1 and tissue inhibitor of metalloproteinase 1 (TIMP-1) (Miyazaki et al., 1997). Increased IS concentrations have also been observed in patients with CKD, correlating with worsening renal function (Wu et al., 2011). p-Cresol sulfate, converted in the liver from p-cresol (a product of tyrosine and phenylalanine fermentation), induces reactive oxygen species production in rat studies via NADPH oxidase activation and increased caspase-3 activity, thereby promoting apoptosis (Watanabe et al., 2013). A study using mouse proximal renal tubule cells has shown that IS and pCS activate the intrarenal RAAS and promote profibrotic processes leading to renal interstitial fibrosis and the progression of glomerular damage (Sun et al., 2012). Trimethylamine N-oxide, formed from choline, phosphatidylcholine, and L-carnitine, is negatively correlated with GFR in CKD patients (Jiang J. et al., 2025). Studies in mice demonstrate that TMAO increases SMAD3 phosphorylation (a key regulator of fibrosis) and may elevate the risk of coronary artery disease by exacerbating atherosclerosis and thrombosis (Wu et al., 2020). Additionally, mouse models indicate that rising TMAO levels are associated with worsening interstitial renal fibrosis (Sun et al., 2017). The gut microbiota also interacts with the nervous system through the production of various hormones and neurotransmitters (Pires et al., 2024). Experimental studies indicate that the families Bifidobacteriaceae, Lactobacillaceae, and Prevotellaceae are involved in synthesizing neurotransmitters such as GABA and acetylcholine, as well as promoting the production of incretins, including GLP-1, GLP-2, and PYY. GABA has been shown to stimulate natriuresis mainly due to inhibition of renal sympathetic nerve activity in rat kidney studies (Onal et al., 2019). Additionally, acetylcholine and GLP-1 may exert vasodilatory effects on blood vessels and reduce angiotensin II levels, thereby enhancing glomerular filtration, as observed in human studies (Skov et al., 2013; Wierema et al., 1997). In CKD, the abundance of these bacterial families is diminished, which has been proposed to contribute to activation of the RAAS, increased sympathetic tone, and the progression of hypertension and CKD (Sun et al., 2022).

This section discusses the protein-bound uremic toxins: IS and pCS. The concentrations of these microbial metabolites increase substantially in patients with advanced chronic kidney disease compared to healthy individuals, as impaired kidneys and dialysis are both ineffective at clearing them due to their strong binding to albumin. Elevated plasma levels of IS and pCS are associated with increased oxidative stress, inflammation, endothelial dysfunction, vascular calcification, and the progression of renal fibrosis. Experimental studies indicate that both toxins may contribute to renal and cardiovascular damage. However, most evidence of their pathogenic effects comes from in vitro experiments and animal models. Therefore, caution is necessary when extrapolating these findings to humans, as the direct relevance of these mechanisms to human pathophysiology remains incompletely established (Leong and Sirich, 2016; Gryp et al., 2017). For IS and pCS, no standardized or broadly comparable EC50 values describing their biological effects in pathophysiological models are available. The available experimental data describe cellular responses as a function of applied concentration, without reference to unified pharmacodynamic parameters. This limits the possibility of direct quantitative comparison with in vivo exposure and requires caution when interpreting concentration–effect relationships.

Low-grade inflammation in metabolic disorders

Chronic, low-grade inflammation is strongly associated with various metabolic disorders, including obesity and T2D (). Gut dysbiosis, defined by an overgrowth of Gram-negative bacteria, can exacerbate inflammation and accelerate disease progression. Gram-negative bacteria are the primary source of the pro-inflammatory factor, LPS, which must enter the systemic circulation to induce inflammation (Noor et al., 2023). Elevated circulating levels of LPS, often referred to as metabolic endotoxemia, have been reported in obesity and type 2 diabetes (Creely et al., 2007; ). Although findings in human studies are not entirely consistent and methodological differences complicate comparisons across studies, accumulating evidence suggests that metabolic endotoxemia may contribute to chronic low-grade inflammation associated with metabolic disorders. (; Gomes et al., 2017). In experimental animal models, a chronic approximately two- to threefold increase in plasma LPS has been shown to induce low-grade systemic inflammation and hepatic insulin resistance, supporting a mechanistic link between metabolic endotoxemia and metabolic dysfunction (). In mice, high-fat feeding impairs intestinal barrier function, facilitating the translocation of LPS into the circulation (). Alterations in the gut microbiota, such as reduced Akkermansia muciniphila abundance in obese or high-fat diet-fed mice, are linked to decreased intestinal barrier integrity (Everard et al., 2013), which may facilitate LPS translocation into the systemic circulation. LPS can further indirectly disrupt barrier integrity by activating the toll-like receptor (TLR) 4-dependent pathway, which involves MyD88/IRAK 4 (interleukin-1 receptor-associated kinase 4) in enterocytes, promoting its movement into the bloodstream, as demonstrated in studies using human cell lines and mice (Guo et al., 2015). Research with human Caco-2 intestinal cell lines has shown that a high-fat diet increases LPS release into chylomicrons and enhances its passage from the gut into the circulation via the lymphatic system (Tomassen et al., 2023). Once in the systemic circulation, LPS binds to lipopolysaccharide-binding protein, forming a complex with CD14. This complex interacts with TLR4 receptors on macrophages or adipocytes, inducing the expression of activator protein 1 and NF-ÎșB, which subsequently triggers the release of pro-inflammatory cytokines and chemokines, including tumour necrosis factor α (TNF-α), interleukin 6 (IL-6) and monocyte chemotactic protein 1 (Rogero and Calder, 2018). SCFAs, particularly butyrate, possess potent anti-inflammatory properties and counteract LPS effects by promoting regulatory T cells (Tregs) and differentiating IL-10-producing T cells via GPR109a. Butyrate-induced signalling through GPR109A also increases IL-18 secretion, a cytokine that supports intestinal epithelial integrity, as demonstrated in mouse studies (Liu et al., 2018). Additionally, studies using human Caco-2 intestinal cells and mouse colon cell cultures have shown that SCFAs inhibit TNF-α-induced NF-ÎșB activation (Hung and Suzuki, 2018). However, it remains uncertain whether the anti-inflammatory properties of SCFAs are sufficient to attenuate LPS-induced chronic inflammation.

Chronic, low-grade inflammation significantly influences lipid metabolism. This phenomenon is partially attributed to LPS, which can enter the bloodstream due to gut dysbiosis and increased intestinal permeability. Exposure to LPS stimulates the production of pro-inflammatory cytokines, including TNF-α and IL-6, which contribute to insulin resistance by activating stress-related kinases that promote serine phosphorylation of insulin receptor substrate 1 (IRS-1) and thereby inhibit insulin signalling (). Phosphorylation of rat IRS-1 at Ser307 disrupts its interaction with the insulin receptor, thereby impairing insulin signalling, as demonstrated using a yeast three-hybrid assay (). Consequently, altered insulin signalling, is associated with adipose tissue dysfunction and hepatic lipid accumulation, which may further exacerbate insulin resistance and metabolic dysfunction (Petersen and Shulman, 2018). Furthermore, metabolic endotoxemia, characterized by elevated circulating LPS levels, may influence adipocyte hypertrophy and adipocyte precursor cell function through CD14- and activin A-dependent mechanisms, as demonstrated in mouse models (Luche et al., 2013; Gomes et al., 2018). Collectively, these processes may promote excessive lipid accumulation in adipose tissue and the liver, thereby contributing to the development and progression of obesity and its associated metabolic complications.

A compromised intestinal barrier in patients with chronic kidney disease can facilitate the translocation of gut microbiota-derived products, such as LPS, into the systemic circulation (Ramezani and Raj, 2014). TLR4 activation in macrophages caused by LPS can promote islet inflammation. Nackiewicz et al. (2014) showed that TLR4-activated macrophages contribute to IL-1α/IL-1ÎČ expression and IL-1ÎČ secretion in mouse and human islets, and that activated macrophages impair beta-cell insulin gene expression and insulin secretion partly through IL-1ÎČ- and IL-6-mediated mechanisms. Additionally, disturbances in the gut microbiota in individuals with chronic kidney disease may reduce the secretion of other metabolites, such as SCFAs (Wang et al., 2023). Reduced butyrate levels, a key SCFA, are associated with increased inflammation and further compromise of the intestinal barrier (Corte-Iglesias et al., 2024).

Recent research on the structural heterogeneity of lipopolysaccharides indicates that variations in LPS structure elicit distinct immune responses (Saha et al., 2022). Hexaacylated LPS, such as that from E. coli, is a strong TLR4 agonist that promotes glycaemic disturbances and adipose tissue inflammation, contributing to T2D (Rogero and Calder, 2018). In contrast, non-acylated LPS, such as from R. sphaeroides, acts as a TLR4 antagonist, does not impair glycaemic control at equal doses, and may even improve insulin sensitivity in obese mice (). Studies indicate that in healthy individuals, LPS with reduced acylation primarily induces TLR4 antagonism in the gut microbiota. This suggests that the overall metabolic effect of gut-derived LPS may be tolerogenic. In mice, oral LPS supplementation increased adiponectin production in adipose tissue and enhanced insulin signalling, potentially helping prevent T2D (Yamamoto et al., 2023). However, changes in the composition of the gut microbiota associated with obesity and T2D result in an increased abundance of Gram-negative bacteria, especially from the Pseudomonadota phylum (mainly from Enterobacteriaceae family), which generate highly immunostimulatory hexacylated lipopolysaccharides ().

Although LPS concentrations reported in metabolic endotoxemia are significantly lower than those observed in sepsis, they have been proposed to be sufficient to engage TLR4 signalling and contribute to chronic low-grade inflammation (Mohammad and Thiemermann, 2021). Chronic exposure to LPS has been associated with insulin resistance, non-alcoholic fatty liver disease, endothelial dysfunction, and the development of obesity and atherosclerosis although the causal contribution and physiological relevance of circulating gut-derived LPS remain debated (Mohammad and Thiemermann, 2021; ). Furthermore, measuring LPS concentrations and assessing metabolic endotoxemia pose considerable methodological challenges. The Limulus Amebocyte Lysate (LAL) assay, which is most commonly employed, exhibits limited specificity and is highly susceptible to contamination; its results do not consistently reflect the actual biological activity of endotoxins. Additionally, a substantial proportion of circulating LPS is bound to lipoproteins, complicating accurate evaluation of its bioavailability and pro-inflammatory potential (Munford, 2016). Therefore, interpretation of LPS levels in patients with metabolic diseases should be approached with caution.

To summarise, Figure 1 presents a concise overview of the potential mechanisms previously described that connect disturbances in gut microbiota balance to the development of MDAKD.

FIGURE 1

Prevention and potential treatmentapproach

Given the potential role of the gut microbiota in the development of MDAKD, this study aims to present a new perspective on the treatment and progression of CKD. Dysbiosis of the gut microbiota is linked to metabolic endotoxemia, characterized by elevated concentrations of LPS translocating from the gastrointestinal tract into systemic circulation, where LPS impairs insulin signaling in key tissues such as adipose and muscle. Achieving eubiosis in the gut microbiota can mitigate or prevent this process by enhancing tissue insulin sensitivity, improving glucose metabolism, and reducing low-grade inflammation (). Addressing gut dysbiosis is therefore a potentially important component of obesity management. Restoration of gut microbiota balance stimulates the secretion of satiety hormones, including PYY and GLP-1, by L cells in the gut (Du et al., 2024). Intake of prebiotics, such as inulin, fructooligosaccharides, and resistant starch (found in unripe bananas and chilled potatoes), supports the growth of Bifidobacteria and Lactobacilli, which may positively influence kidney function (Mao et al., 2023). A systematic review has underscored the role of probiotics in reducing plasma concentrations of urea, blood urea nitrogen, ammonia, IS, and pCS in individuals with CKD, with strains from the genera Lactobacillus and Bifidobacterium being most effective. However, due to the limited number of studies, these findings cannot yet be generalized, and further long-term research is required to clarify the potential role of probiotics in CKD management (Fagundes et al., 2018). Probiotics containing Akkermansia muciniphila may enhance intestinal barrier integrity and alleviate symptoms of leaky gut syndrome, as demonstrated in cell culture studies (Shi et al., 2022). Current dietary guidelines recommend a daily intake of 25–35 g of dietary fiber, which facilitates the production of butyrate, a key SCFA, through anaerobic fermentation of complex carbohydrates (Prasad and Bondy, 2018). A meta-analysis evaluating interventions to reduce protein-bound uremic toxins in CKD patients found that regular administration of prebiotics, synbiotics, and AST-120 (an oral, spherical carbon adsorbent for intestinal use) significantly lowers serum IS and pCS concentrations compared to placebo (Takkavatakarn et al., 2021). This approach may also decrease renal scarring. Contemporary therapeutic strategies for obesity and diabetes include GLP-1 receptor agonists and sodium-glucose co-transporter 2 (SGLT-2) inhibitors. SGLT-2 inhibitors modulate systemic glucose metabolism by inducing glucosuria, thereby reducing glucose availability in the intestinal lumen, limiting its use during anaerobic saccharolytic fermentation, and altering microbiota composition. This includes restoring the Bacillota/Bacteroidota ratio and increasing the abundance of SCFA-producing Lachnospiraceae. Additionally, SGLT-2 inhibitors reduce bacteria that produce IS and pCS, as shown in a study of 90 patients with CKD (Hsu et al., 2025). GLP-1 analogs, such as liraglutide, may attenuate glomerular inflammation and fibrosis in DKD by modulating the TLR4 signaling pathway, as demonstrated in a rat glomerular mesangial cell line (Huang et al., 2024). In rat models of diabetic nephropathy, liraglutide exhibited nephroprotective effects by improving gut microbiota composition and increasing serum L-5-oxoproline concentrations. L-5-oxoproline was also found to significantly reduce ectopic lipid deposition in renal tubular cells by inhibiting lipid synthesis (Yi et al., 2024). In steatotic kidneys, excessive accumulation of triglycerides and cholesterol in podocytes and tubular cells induces lipotoxicity, as demonstrated in both animal models and humans with DKD. This process promotes oxidative stress and inflammation, ultimately resulting in renal cell death, fibrosis, and loss of filtration function (Schelling, 2022). A network meta-analysis has shown that probiotic supplementation may improve health outcomes and potentially slow the progression of CKD, although the evidence for anti-inflammatory and other pleiotropic effects remains inconclusive. The analysis further suggested that multi-strain formulations containing three or more probiotic strains may be associated with greater improvements in kidney function, metabolic parameters, inflammation, and oxidative stress in patients with CKD (Li et al., 2025). However, this finding should be interpreted with caution, as probiotic efficacy is considered highly strain- and disease-specific, and the included interventions were grouped primarily by the number of strains rather than their individual identities (McFarland et al., 2018). Therefore, further well-designed randomized controlled trials are needed to determine which specific probiotic strains are effective for particular CKD-related outcomes and to establish evidence-based recommendations for clinical practice (Liu et al., 2024). Fecal microbiota transplantation (FMT) is a distinct therapeutic approach, separate from probiotics or dietary interventions. It has primarily been used for recurrent Clostridioides difficile infections, with an effectiveness exceeding 80%. Emerging research indicates that FMT may also benefit patients with CKD. In mouse studies, FMT from healthy control mice treated with resveratrol restored the gut microbiota, regulated intestinal permeability, reduced inflammation, and improved kidney function (). Another study used rat models, performing FMT from healthy rats to those with streptozotocin-induced diabetes. Microbiota transplantation significantly reduced tubular injury in diabetic rats. This improvement was linked to restored cholesterol homeostasis, lower serum triglyceride levels, and decreased lipid accumulation in the kidneys, mediated by GPR43 activation (Hu et al., 2020). FMT has also been applied in humans to improve kidney function. In a clinical case report, a patient with membranous nephropathy received an endoscopic transplant of gut microbiota from a healthy donor. After two FMT procedures, the patient’s nephrotic syndrome was alleviated, and kidney function improved, as indicated by increased serum total protein and albumin, and decreased serum creatinine and 24-h urine protein levels (Zhou et al., 2021). A comprehensive approach involving a suitable diet, probiotics, and pharmacological treatment may help protect against metabolic toxicity and kidney deterioration. However, further research and standardization are needed before FMT can be recommended for chronic kidney disease.

Conclusion

The gut microbiota is increasingly recognised as a potentially important contributor to the pathogenesis of kidney diseases associated with metabolic disorders, due to its influence on metabolic, inflammatory, immunological, and neuroendocrine pathways. Microbial dysbiosis may contribute to the development and progression of obesity, type 2 diabetes, cardiovascular diseases, and chronic kidney disease by altering the production of microbial metabolites, compromising intestinal barrier integrity, and promoting a chronic, low-grade inflammatory state. Key metabolites derived from the microbiota, such as short-chain fatty acids, bile acids, trimethylamine N-oxide, indoxyl sulfate, p-cresol sulfate, branched-chain amino acids, and lipopolysaccharides, have been shown to modulate metabolic and renal functions through diverse mechanisms. Although substantial progress has been made in elucidating the gut-kidney axis, several critical uncertainties persist. Many of the mechanistic pathways discussed in this review should be regarded as biologically plausible hypotheses supported by preclinical evidence rather than fully established causal mechanisms in humans. Additionally, pronounced inter-individual variability in microbiota composition, methodological challenges in metabolite quantification, and the complexity of host-microbiota interactions complicate the interpretation of current findings. Importantly, receptor-specific EC50 values are only well established for selected gut-derived metabolites such as SCFAs, whereas for most other microbiota-derived compounds discussed in this review, pharmacodynamic thresholds remain undefined or assay-dependent. Therefore, many microbiota-associated metabolites should presently be considered potential contributors to disease progression or biomarkers, rather than definitively established causative agents. Despite these limitations, accumulating evidence indicates that modulation of the gut microbiota may offer a promising therapeutic approach for metabolic and renal diseases. Dietary interventions, prebiotics, probiotics, pharmacological agents, and faecal microbiota transplantation have demonstrated potential benefits in experimental models and early-phase clinical trials, although their long-term efficacy and clinical applicability remain to be established. Rigorous, well-designed human studies are required to clarify underlying mechanisms, identify clinically relevant microbiological targets, and determine whether microbiota-targeted therapies can effectively prevent or slow the progression of MDAKD.

Statements

Author contributions

Conceptualization: EG and MW. Data Curation: WC, NG, and MW. Writing - original draft: WC and MW. Writing - review and editing: JP, BW, and EG. Visualization: MW. All authors contributed to the article and approved the submitted version.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Glossary

  • AAA

    aromatic amino acids

  • AGRP

    Agouti-related protein

  • AMPK

    AMP-activated kinase

  • AST-120

    oral, spherical carbon adsorbent for intestinal use

  • BCAA

    branched-chain amino acids

  • CD36/CD14

    cluster of differentiation 36/14

  • ChREBP

    carbohydrate response element binding protein

  • CKD

    chronic kidney disease

  • CVD

    cardiovascular disease

  • DKD

    diabetic kidney disease

  • DNA

    deoxyribonucleic acid

  • EC50

    half maximal effective concentration

  • ESRD

    end-stage renal disease

  • FGF19

    fibroblast growth factor 19

  • FIAF/ANGPTL4

    fasting-induced adipose factor

  • FMT

    fecal microbiota transplantation

  • FXR

    farnesoid X receptor

  • GABA

    Îł-aminobutyric acid

  • GFR

    glomerular filtration rate

  • GLP-1/2

    glucagon-like peptide 1/2

  • GLUT2

    glucose transporter 2

  • GPR41/43/109a

    G protein coupled receptor 41/43/109a

  • HSD

    high-sodium diet

  • IL-1ÎČ/6/10/18

    interleukin 1ÎČ/6/10/18

  • IPA

    indolepropionate

  • IRAK4

    interleukin-1 receptor-associated kinase 4

  • IS

    indoxyl sulfate

  • LAL

    Limulus Amebocyte Lysate

  • LPS

    lipopolysaccharide

  • MDAKD

    metabolic dysfunction-associated kidney disease

  • MyD88

    myeloid differentiation factor 88

  • NADPH

    nicotinamide adenine dinucleotide phosphate, reduced form

  • NF-ÎșB

    nuclear factor kappa B

  • Olfr78

    olfactory receptor 78

  • pCS

    p-cresol sulfate

  • PPAR-Îł

    proliferator–activated receptor γ

  • PYY

    peptide YY

  • RAAS

    renin–angiotensin–aldosterone system

  • SCFA/SCFAs

    short-chain fatty acid/acids

  • SGLT-2

    sodium-glucose linked transporter 2

  • SMAD3

    mothers against decapentaplegic homolog 3

  • SREBP1c

    sterol regulatory binding protein1c

  • T2D

    type 2 diabetes

  • TGF-ÎČ

    transforming growth factor beta

  • TGR5

    takeda G protein-coupled receptor 5

  • TIMP-1

    tissue inhibitor of metalloproteinase 1

  • TLR4

    toll-like receptor 4

  • TMAO

    trimethylamine N-oxide

  • TNF-α

    tumor necrosis factor α

  • UCP1

    uncoupled protein 1

References

  • 1

    AbdullahF. B.SheikhA. M.TabassumS.NagaiA.YoshinoJ.KandaT.et al (2025). A high-fat diet increases kidney fibrosis through regulating TGF-ÎČ and PDGF-ÎČ signaling pathways in normotensive and hypertensive rat models. Int. J. Mol. Sci.26 (16), 8031. 10.3390/ijms26168031

  • 2

    AguirreV.WernerE. D.GiraudJ.LeeY. H.ShoelsonS. E.WhiteM. F. (2002). Phosphorylation of Ser307 in insulin receptor Substrate-1 blocks interactions with the insulin receptor and inhibits insulin action*. J. Biol. Chem.277 (2), 1531–1537. 10.1074/jbc.M101521200

  • 3

    AlexS.LangeK.AmoloT.GrinsteadJ. S.HaakonssonA. K.SzalowskaE.et al (2013). Short-chain fatty acids stimulate angiopoietin-like 4 synthesis in human colon adenocarcinoma cells by activating peroxisome proliferator-activated receptor γ. Mol. Cell Biol.33 (7), 1303–1316. 10.1128/MCB.00858-12

  • 4

    AmabebeE.RobertF. O.AgbalalahT.OrubuE. S. F. (2020). Microbial dysbiosis-induced obesity: role of gut microbiota in homoeostasis of energy metabolism. Br. J. Nutr.123 (10), 1127–1137. 10.1017/S0007114520000380

  • 5

    AnhĂȘF. F.JensenB. A. H.VarinT. V.ServantF.Van BlerkS.RichardD.et al (2020). Type 2 diabetes influences bacterial tissue compartmentalisation in human obesity. Nat. Metab.2, 233–242. 10.1038/s42255-020-0178-9

  • 6

    AnhĂȘF. F.BarraN. G.CavallariJ. F.HenriksboB. D.SchertzerJ. D. (2021). Metabolic endotoxemia is dictated by the type of lipopolysaccharide. Cell Rep.36 (11), 109691. 10.1016/j.celrep.2021.109691

  • 7

    ArrietaM.-C.WalterJ.FinlayB. B. (2016). Human microbiota-associated mice: a model with challenges. Cell Host and Microbe19 (5), 575–578. 10.1016/j.chom.2016.04.014

  • 8

    BĂ€ckhedF.DingH.WangT.HooperL. V.KohG. Y.NagyA.et al (2004). The gut microbiota as an environmental factor that regulates fat storage. Proc. Natl. Acad. Sci. U. S. A.101 (44), 15718–15723. 10.1073/pnas.0407076101

  • 9

    BansalA.ChoncholM. (2025). Metabolic dysfunction-associated kidney disease: pathogenesis and clinical manifestations. Kidney Int.108 (2), 194–200. 10.1016/j.kint.2025.01.044

  • 10

    BartolomaeusH.BaloghA.YakoubM.HomannS.MarkĂłL.HögesS.et al (2019). Short-chain fatty acid propionate protects from hypertensive cardiovascular damage. Circulation139 (11), 1407–1421. 10.1161/CIRCULATIONAHA.118.036652

  • 11

    BasileD. P.LeonardE. C.BealA. G.SchleuterD.FriedrichJ. (2012). Persistent oxidative stress following renal ischemia-reperfusion injury increases ANG II hemodynamic and fibrotic activity. Am. J. Physiol. Ren. Physiol.302 (11), F1494–F1502. 10.1152/ajprenal.00691.2011

  • 12

    BekerB. M.ColomboI.Gonzalez-TorresH.MussoC. G. (2022). Decreasing microbiota-derived uremic toxins to improve CKD outcomes. Clin. Kidney J.15 (12), 2214–2219. 10.1093/ckj/sfac154

  • 13

    BennettB. J.de Aguiar VallimT. Q.WangZ.ShihD. M.MengY.GregoryJ.et al (2013). Trimethylamine-N-oxide, a metabolite associated with atherosclerosis, exhibits complex genetic and dietary regulation. Cell Metab.17 (1), 49–60. 10.1016/j.cmet.2012.12.011

  • 14

    BergerM.GrayJ. A.RothB. L. (2009). The expanded biology of serotonin. Annu. Rev. Med.60, 355–366. 10.1146/annurev.med.60.042307.110802

  • 15

    BhatnagarS.DamronH. A.HillgartnerF. B. (2009). Fibroblast growth factor-19, a novel factor that inhibits hepatic fatty acid synthesis. J. Biol. Chem.284 (15), 10023–10033. 10.1074/jbc.M808818200

  • 16

    BierA.BraunT.KhasbabR.Di SegniA.GrossmanE.HabermanY.et al (2018). A high salt diet modulates the Gut Microbiota and short chain fatty acids production in a salt-sensitive hypertension rat model. Nutrients10 (9), 1154. 10.3390/nu10091154

  • 17

    BoutagyN. E.McMillanR. P.FrisardM. I.HulverM. W. (2016). Metabolic endotoxemia with obesity: is it real and is it relevant?Biochimie124, 11–20. 10.1016/j.biochi.2015.06.020

  • 18

    CaiT. T.YeX. L.LiR. R.ChenH.WangY. Y.YongH. J.et al (2020). Resveratrol modulates the Gut microbiota and inflammation to protect against diabetic nephropathy in mice. Front. Pharmacol.11 (1249), 1249. 10.3389/fphar.2020.01249

  • 19

    CaniP. D.AmarJ.IglesiasM. A.PoggiM.KnaufC.BastelicaD.et al (2007). Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes56 (7), 1761–1772. 10.2337/db06-1491

  • 20

    CaniP. D.BibiloniR.KnaufC.WagetA.NeyrinckA. M.DelzenneN. M.et al (2008). Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes57 (6), 1470–1481. 10.2337/db07-1403

  • 21

    CaniP. D.Moens de HaseE.Van HulM. (2021). Gut microbiota and host metabolism: from proof of concept to therapeutic intervention. Microorganisms9 (6), 1302. 10.3390/microorganisms9061302

  • 22

    CanyellesM.BorrĂ sC.RotllanN.TondoM.EscolĂ -GilJ. C.Blanco-VacaF. (2023). Gut microbiota-derived TMAO: a causal factor promoting atherosclerotic cardiovascular disease?Int. J. Mol. Sci.24 (3), 1940. 10.3390/ijms24031940

  • 23

    ChagnacA.ZingermanB.Rozen-ZviB.Herman-EdelsteinM. (2019). Consequences of glomerular hyperfiltration: the role of physical forces in the pathogenesis of chronic kidney disease in diabetes and obesity. Nephron143 (1), 38–42. 10.1159/000499486

  • 24

    ChenB.GautronL. (2025). Gut-derived lipopolysaccharides and metabolic endotoxemia: A critical review. Am. J. Physiol. Endocrinol. Metab.329 (5), E746–E754. 10.1152/ajpendo.00355.2025

  • 25

    ChenL.ChenR.WangH.LiangF. (2015). Mechanisms linking inflammation to insulin resistance. Int. J. Endocrinol.2015, 508409. 10.1155/2015/508409

  • 26

    ChiM.MaK.WangJ.DingZ.LiY.ZhuS.et al (2021). The immunomodulatory effect of the gut microbiota in kidney disease. J. Immunol. Res.2021, 5516035. 10.1155/2021/5516035

  • 27

    ChristiansenC. B.GabeM. B. N.SvendsenB.DragstedL. O.RosenkildeM. M.HolstJ. J. (2018). The impact of short-chain fatty acids on GLP-1 and PYY secretion from the isolated perfused rat colon. Am. J. Physiol. Gastrointest. Liver Physiol.315 (1), G53–G65. 10.1152/ajpgi.00346.2017

  • 28

    Cigarran GuldrisS.González ParraE.Cases AmenósA. (2017). Gut microbiota in chronic kidney disease. Nefrologia37 (1), 9–19. 10.1016/j.nefro.2016.05.008

  • 29

    Corte-IglesiasV.SaizM. L.Andrade-LopezA. C.SalazarN.BernetC. R.Martin-MartinC.et al (2024). Propionate and butyrate counteract renal damage and progression to chronic kidney disease. Nephrol. Dial. Transpl.40 (1), 133–150. 10.1093/ndt/gfae118

  • 30

    CreelyS. J.McTernanP. G.KusminskiC. M.Fisher fM.Da SilvaN. F.KhanolkarM.et al (2007). Lipopolysaccharide activates an innate immune system response in human adipose tissue in obesity and type 2 diabetes. Am. J. Physiol. Endocrinol. Metab.292 (3), E740–E747. 10.1152/ajpendo.00302.2006

  • 31

    CryanJ. F.O’RiordanK. J.CowanC. S. M.SandhuK. V.BastiaanssenT. F. S.BoehmeM.et al (2019). The microbiota-gut-brain axis. Physiol. Rev.99 (4), 1877–2013. 10.1152/physrev.00018.2018

  • 32

    CunninghamA. L.StephensJ. W.HarrisD. A. (2021). A review on gut microbiota: a central factor in the pathophysiology of obesity. Lipids Health Dis.20 (65), 65. 10.1186/s12944-021-01491-z

  • 33

    DalbyM. J. (2021). Questioning the foundations of the gut microbiota and obesity. Philos. Trans. R. Soc. Lond B Biol. Sci.378 (1888), 20220221. 10.1098/rstb.2022.0221

  • 34

    denBestenG.BleekerA.GerdingA.van EunenK.HavingaR.van DijkT. H.et al (2015). Short-chain fatty acids protect against high-fat diet-induced obesity via a PPARγ-Dependent switch from lipogenesis to fat oxidation. Diabetes64 (7), 2398–2408. 10.2337/db14-1213

  • 35

    Díaz PerdigonesC. M.Hinojosa NogueiraD.Rodríguez MuñozA.Subiri VerdugoA.Vilches-PérezA.MelaV.et al (2025). Taxonomic and functional characteristics of the gut microbiota in obesity: a systematic review. Endocrinol. Diabetes Nutr. Engl. Ed.72 (9), 501624. 10.1016/j.endien.2025.501624

  • 36

    DuY.HeC.AnY.HuangY.ZhangH.FuW.et al (2024). The role of short chain fatty acids in inflammation and body health. Int. J. Mol. Sci.25 (13), 7379. 10.3390/ijms25137379

  • 37

    EmotoT.YamashitaT.KobayashiT.SasakiN.HirotaY.HayashiT.et al (2017). Characterization of gut microbiota profiles in coronary artery disease patients using data mining analysis of terminal restriction fragment length polymorphism: gut microbiota could be a diagnostic marker of coronary artery disease. Heart Vessels32 (1), 39–46. 10.1007/s00380-016-0841-y

  • 38

    EverardA.BelzerC.GeurtsL.OuwerkerkJ. P.DruartC.BindelsL. B.et al (2013). Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proc. National Academy Sciences110 (22), 9066–9071. 10.1073/pnas.1219451110

  • 39

    FagundesR. A. B.SoderT. F.GrokoskiK. C.BenettiF.MendesR. H. (2018). Probiotics in the treatment of chronic kidney disease: a systematic review. J. Bras. Nefrol.40 (3), 278–286. 10.1590/2175-8239-jbn-3931

  • 40

    FeiD. L.LiuY.LiuJ.YuZ.DongJ. L. (2025). Gut microbiota and the “gut-liver-kidney axis” theory: from mechanisms to therapeutics. Front. Microbiol.16, 1554458. 10.3389/fmicb.2025.1554458

  • 41

    FrostG.SleethM. L.Sahuri-ArisoyluM.LizarbeB.CerdanS.BrodyL.et al (2014). The short-chain fatty acid acetate reduces appetite via a central homeostatic mechanism. Nat. Commun.5, 3611. 10.1038/ncomms4611

  • 42

    GaoZ.YinJ.ZhangJ.WardR. E.MartinR. J.LefevreM.et al (2009). Butyrate improves insulin sensitivity and increases energy expenditure in mice. Diabetes58 (7), 1509–1517. 10.2337/db08-1637

  • 43

    GaoR.MengX.XueY.MaoM.LiuY.TianX.et al (2022). Bile acids-gut microbiota crosstalk contributes to the improvement of type 2 diabetes mellitus. Front. Pharmacol.13, 1027212. 10.3389/fphar.2022.1027212

  • 44

    GaoY.LiuW.MaX.XueM.LiY.BiS.et al (2025). The role of intestinal microbiota and its metabolites in the occurrence and intervention of obesity. Front. Microbiol.16, 1559178. 10.3389/fmicb.2025.1559178

  • 45

    GaudierE.JarryA.BlottiùreH. M.de CoppetP.BuisineM. P.AubertJ. P.et al (2004). Butyrate specifically modulates MUC gene expression in intestinal epithelial goblet cells deprived of glucose. Am. J. Physiology-Gastrointestinal Liver Physiology287 (6), G1168–G1174. 10.1152/ajpgi.00219.2004

  • 46

    GojdaJ.CahovaM. (2021). Gut microbiota as the link between elevated BCAA serum levels and insulin resistance. Biomolecules11 (10), 1414. 10.3390/biom11101414

  • 47

    GomesJ. M. G.CostaJ. A.AlfenasR. C. G. (2017). Metabolic endotoxemia and diabetes mellitus: a systematic review. Metabolism68, 133–144. 10.1016/j.metabol.2016.12.009

  • 48

    GomesA. C.HoffmannC.MotaJ. F. (2018). The human gut microbiota: metabolism and perspective in obesity. Gut Microbes9 (4), 308–325. 10.1080/19490976.2018.1465157

  • 49

    GrypT.VanholderR.VaneechoutteM.GlorieuxG. (2017). p-Cresyl sulfate. Toxins9, 52. 10.3390/toxins9020052

  • 50

    GuoS.NighotM.Al-SadiR.AlhmoudT.NighotP.MaT. Y. (2015). Lipopolysaccharide regulation of intestinal tight junction permeability is mediated by TLR4 signal transduction pathway activation of FAK and MyD88. J. Immunol.195 (10), 4999–5010. 10.4049/jimmunol.1402598

  • 51

    GurungM.LiZ.YouH.RodriguesR.JumpD. B.MorgunA.et al (2020). Role of gut microbiota in type 2 diabetes pathophysiology. EBioMedicine51, 102590. 10.1016/j.ebiom.2019.11.051

  • 52

    HamadI.CardilliA.CĂŽrte-RealB. F.DyczkoA.VangronsveldJ.KleinewietfeldM. (2022). High-salt diet induces depletion of lactic acid-producing bacteria in Murine gut. Nutrients14 (6), 1171. 10.3390/nu14061171

  • 53

    HaybarH.ShokuhianM.BagheriM.DavariN.SakiN. (2019). Involvement of circulating inflammatory factors in prognosis and risk of cardiovascular disease. J. Mol. Cell Cardiol.132, 110–119. 10.1016/j.yjmcc.2019.05.010

  • 54

    HsuC. K.ChangL. C.ChenY. T.ChenC. Y.HsuH. R.BaiS.et al (2025). Effects of sodium-glucose Cotransporter-2 inhibitors on modulating protein-bound uremic toxins and gut microbiota in predialysis CKD patients: matched case-control study. Kidney3606 (9), 1472–1481. 10.34067/KID.0000000792

  • 55

    HuZ. B.LuJ.ChenP. P.LuC. C.ZhangJ. X.LiX. Q.et al (2020). Dysbiosis of intestinal microbiota mediates tubulointerstitial injury in diabetic nephropathy via the disruption of cholesterol homeostasis. Theranostics10 (6), 2803–2816. 10.7150/thno.40571

  • 56

    HuS.HangX.WeiY.WangH.ZhangL.ZhaoL. (2024). Crosstalk among podocytes, glomerular endothelial cells and mesangial cells in diabetic kidney disease: an updated review. Cell Commun. Signal22 (1), 136. 10.1186/s12964-024-01502-3

  • 57

    HuangL.LinT.ShiM.WuP. (2024). Liraglutide ameliorates inflammation and fibrosis by downregulating the TLR4/MyD88/NF-ÎșB pathway in diabetic kidney disease. Am. J. Physiol. Regul. Integr. Comp. Physiol.327 (4), R410–R422. 10.1152/ajpregu.00083.2024

  • 58

    HungT. V.SuzukiT. (2018). Short-chain fatty acids suppress inflammatory reactions in Caco-2 cells and mouse colons. J. Agric. Food Chem.66 (1), 108–117. 10.1021/acs.jafc.7b04233

  • 59

    International Diabetes Federation (2025). IDF Diabetes Atlas. 11th ed. Brussels, Belgium: International Diabetes Federation.

  • 60

    JiangH.WangX.ZhouW.HuangZ.ZhangW. (2025). Gut microbiota dysbiosis in diabetic nephropathy: mechanisms and therapeutic targeting via the gut-kidney axis. Front. Endocrinol. (Lausanne)16, 1661037. 10.3389/fendo.2025.1661037

  • 61

    JiangJ.ZhuP.DingX.ZhouL.LiX.LeiY.et al (2025). The microbiome-derived metabolite trimethylamine N-oxide is associated with chronic kidney disease risk. Appl. Microbiol. Biotechnol.109 (1), 97. 10.1007/s00253-025-13481-7

  • 62

    KalilG. Z.HaynesW. G. (2012). Sympathetic nervous system in obesity-related hypertension: mechanisms and clinical implications. Hypertens. Res.35 (1), 4–16. 10.1038/hr.2011.173

  • 63

    KallusS. J.BrandtL. J. (2012). The intestinal microbiota and obesity. J. Clin. Gastroenterol.46 (1), 16–24. 10.1097/MCG.0b013e31823711fd

  • 64

    KanbayM.YayciE.GencC.CopurS.AktasO.SarafidisP.et al (2025). From pathophysiology to novel approaches for obesity-associated hypertension. Clin. Kidney J.18 (8), sfaf218. 10.1093/ckj/sfaf218

  • 65

    KanitsoraphanC.RattanawongP.CharoensriS.SenthongV. (2018). Trimethylamine N-Oxide and risk of cardiovascular disease and mortality. Curr. Nutr. Rep.7 (4), 207–213. 10.1007/s13668-018-0252-z

  • 66

    KarbowskaM.KaminskiT. W.ZnorkoB.DomaniewskiT.MisztalT.RusakT.et al (2018). Indoxyl sulfate promotes arterial thrombosis in rat model via increased levels of complex TF/VII, PAI-1, platelet activation as well as decreased contents of SIRT1 and SIRT3. Front. Physiol.9, 1623. 10.3389/fphys.2018.01623

  • 67

    KimS.GoelR.KumarA.QiY.LobatonG.HosakaK.et al (2018). Imbalance of gut microbiome and intestinal epithelial barrier dysfunction in patients with high blood pressure. Clin. Sci. (Lond)132 (6), 701–718. 10.1042/CS20180087

  • 68

    KoethR. A.WangZ.LevisonB. S.BuffaJ. A.OrgE.SheehyB. T.et al (2013). Intestinal microbiota metabolism of L-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat. Med.19 (5), 576–585. 10.1038/nm.3145

  • 69

    LauK.SrivatsavV.RizwanA.NashedA.LiuR.ShenR.et al (2017). Akhtar M. Bridging the gap between gut microbial dysbiosis and cardiovascular diseases. Nutrients9 (8), 859. 10.3390/nu9080859

  • 70

    LekawanvijitS.AdrahtasA.KellyD. J.KompaA. R.WangB. H.KrumH. (2010). Does indoxyl sulfate, a uraemic toxin, have direct effects on cardiac fibroblasts and myocytes?Eur. Heart J.31 (14), 1771–1779. 10.1093/eurheartj/ehp574

  • 71

    LeongS. C.SirichT. L. (2016). Indoxyl sulfate-review of toxicity and therapeutic strategies. Toxins (Basel)8 (12), 358. 10.3390/toxins8120358

  • 72

    LerinC.GoldfineA. B.BoesT.LiuM.KasifS.DreyfussJ. M.et al (2016). Defects in muscle branched-chain amino acid oxidation contribute to impaired lipid metabolism. Mol. Metab.5 (10), 926–936. 10.1016/j.molmet.2016.08.001

  • 73

    LiJ.ZhaoF.WangY.ChenJ.TaoJ.TianG.et al (2017). Gut microbiota dysbiosis contributes to the development of hypertension. Microbiome5 (1), 14. 10.1186/s40168-016-0222-x

  • 74

    LiX.GengJ.ZhaoJ.NiQ.ZhaoC.ZhengY.et al (2019). Trimethylamine N-Oxide exacerbates cardiac fibrosis via activating the NLRP3 inflammasome. Front. Physiol.10 (866), 866. 10.3389/fphys.2019.00866

  • 75

    LiZ.WuZ.YanJ.LiuH.LiuQ.DengY.et al (2019). Gut microbe-derived metabolite trimethylamine N-oxide induces cardiac hypertrophy and fibrosis. Lab. Invest99 (3), 346–357. 10.1038/s41374-018-0091-y

  • 76

    LiQ.ChangY.ZhangK.ChenH.TaoS.ZhangZ. (2020). Implication of the gut microbiome composition of type 2 diabetic patients from northern China. Sci. Rep.10 (1), 5450. 10.1038/s41598-020-62224-3

  • 77

    LiN.LiJ.WangH.LiuJ.LiW.YangK.et al (2023). Aromatic amino acids and their interactions with gut microbiota-related metabolites for risk of gestational diabetes: a prospective nested case-control study in a Chinese cohort. Ann. Nutr. Metab.79 (3), 291–300. 10.1159/000531481

  • 78

    LiS.QinJ.ZhaoY.WangJ.HuangS.YuX. (2024). Tubular insulin-induced gene 1 deficiency promotes NAD+ consumption and exacerbates kidney fibrosis. EMBO Mol. Med.16 (7), 1675–1703. 10.1038/s44321-024-00081-7

  • 79

    LiY. K.LiW. R.RenH.XiaoC. L.GuoZ.LuoJ. Q. (2025). Gut microbiome-targeted therapeutics for chronic kidney disease: comparative efficacy of probiotic and microbial preparations. Inflammopharmacology33 (12), 7569–7585. 10.1007/s10787-025-02044-x

  • 80

    LinL.TanW.PanX.TianE.WuZ.YangJ. (2022). Metabolic syndrome-related kidney injury: a review and update. Front. Endocrinol. (Lausanne)13, 904001. 10.3389/fendo.2022.904001

  • 81

    LinL.PanX.FengY.YangJ. (2024). Chronic kidney disease combined with metabolic syndrome is a non-negligible risk factor. Ther. Adv. Endocrinol. Metab.15, 20420188241252309. 10.1177/20420188241252309

  • 82

    LiuH.WangJ.HeT.BeckerS.ZhangG.LiD.et al (2018). Butyrate: a double-edged sword for health?Adv. Nutr.9 (1), 21–29. 10.1093/advances/nmx009

  • 83

    LiuC.YangL.WeiW.FuP. (2024). Efficacy of probiotics/synbiotics supplementation in patients with chronic kidney disease: a systematic review and meta-analysis of randomized controlled trials. Front. Nutr.11, 1434613. 10.3389/fnut.2024.1434613

  • 84

    LiuW.WangL.OuJ.PengD.ZhangY.ChenW.et al (2025). Gut microbiota metabolites and chronic diseases: interactions, mechanisms, and therapeutic strategies. Int. J. Mol. Sci.26 (8), 3752. 10.3390/ijms26083752

  • 85

    LucheE.CousinB.GaridouL.SerinoM.WagetA.BarreauC.et al (2013). Metabolic endotoxemia directly increases the proliferation of adipocyte precursors at the onset of metabolic diseases through a CD14-dependent mechanism. Mol. Metab.2 (3), 281–291. 10.1016/j.molmet.2013.06.005

  • 86

    LvY.YeC.LiZ.YeJ.CaoH.ZhangC.et al (2025). Tubular injury in diabetic kidney disease: early diagnosis and intervention strategies. Diabetes Metab. Res. Rev.41 (7), e70098. 10.1002/dmrr.70098

  • 87

    MaG.PanB.ChenY.GuoC.ZhaoM.ZhengL.et al (2017). Trimethylamine N-oxide in atherogenesis: impairing endothelial self-repair capacity and enhancing monocyte adhesion. Biosci. Rep.37 (2), BSR20160244. 10.1042/BSR20160244

  • 88

    MagneF.GottelandM.GauthierL.ZazuetaA.PesoaS.NavarreteP.et al (2020). The firmicutes/bacteroidetes ratio: a relevant marker of gut dysbiosis in Obese patients?Nutrients12 (5), 1474. 10.3390/nu12051474

  • 89

    MaoZ. H.GaoZ. X.LiuD. W.LiuZ. S.WuP. (2023). Gut microbiota and its metabolites - molecular mechanisms and management strategies in diabetic kidney disease. Front. Immunol.14, 1124704. 10.3389/fimmu.2023.1124704

  • 90

    Martin-GallausiauxC.MarinelliL.BlottiùreH. M.LarraufieP.LapaqueN. (2021). SCFA: mechanisms and functional importance in the gut. Proc. Nutr. Soc.80 (1), 37–49. 10.1017/S0029665120006916

  • 91

    McFarlandL. V.EvansC. T.GoldsteinE. J. C. (2018). Strain-specificity and disease-specificity of probiotic efficacy: a systematic review and meta-analysis. Front. Med. (Lausanne)5 (124), 124. 10.3389/fmed.2018.00124

  • 92

    MiyazakiT.IseM.SeoH.NiwaT. (1997). Indoxyl sulfate increases the gene expressions of TGF-beta 1, TIMP-1 and pro-alpha 1(I) collagen in uremic rat kidneys. Kidney Int. Suppl.62, S15–S22.

  • 93

    MohammadS.ThiemermannC. (2021). Role of metabolic endotoxemia in systemic inflammation and potential interventions. Front. Immunol.11, 594150. 10.3389/fimmu.2020.594150

  • 94

    MohandesS.DokeT.HuH.MukhiD.DhillonP.SusztakK. (2023). Molecular pathways that drive diabetic kidney disease. J. Clin. Invest133 (4), e165654. 10.1172/JCI165654

  • 95

    MoraisL. H.SchreiberH. L.MazmanianS. K. (2021). The gut microbiota-brain axis in behaviour and brain disorders. Nat. Rev. Microbiol.19, 241–255. 10.1038/s41579-020-00460-0

  • 96

    MoriH.Svegliati BaroniG.MarzioniM.Di NicolaF.SantoriP.MaroniL.et al (2022). Farnesoid X receptor, bile acid metabolism, and Gut Microbiota. Metabolites12 (7), 647. 10.3390/metabo12070647

  • 97

    MosleyJ. D.ShiM.AgamasuD.VaitinadinN. S.MurthyV. L.ShahR. V.et al (2024). Branched-chain amino acids and type 2 diabetes: a bidirectional Mendelian randomization analysis. Obes. (Silver Spring)32 (2), 423–435. 10.1002/oby.23951

  • 98

    MunfordR. S. (2016). Endotoxemia-menace, marker, or mistake?J. Leukoc. Biol.100 (4), 687–698. 10.1189/jlb.3RU0316-151R

  • 99

    MuttiahB.HanafiahA. (2025). Gut microbiota and cardiovascular diseases: unraveling the role of dysbiosis and microbial metabolites. Int. J. Mol. Sci.26 (9), 4264. 10.3390/ijms26094264

  • 100

    NackiewiczD.DanM.HeW.KimR.SalmiA.RĂŒttiS.et al (2014). TLR2/6 and TLR4-activated macrophages contribute to islet inflammation and impair beta cell insulin gene expression via IL-1 and IL-6. Diabetologia57 (8), 1645–1654. 10.1007/s00125-014-3249-1

  • 101

    NajafiF.MohseniP.PasdarY.NiknamM.IzadiN. (2023). The association between dietary amino acid profile and the risk of type 2 diabetes: ravansar non-communicable disease cohort study. BMC Public Health23 (1), 2284. 10.1186/s12889-023-17210-5

  • 102

    NavarL. G. (2014). Intrarenal renin-angiotensin system in regulation of glomerular function. Curr. Opin. Nephrol. Hypertens.23 (1), 38–45. 10.1097/01.mnh.0000436544.86508.f1

  • 103

    NeinastM.MurashigeD.AranyZ. (2019). Branched chain amino acids. Annu. Rev. Physiology81, 139–164. 10.1146/annurev-physiol-020518-114455

  • 104

    NicolaouG.GoodallA. H.ErridgeC. (2012). Diverse bacteria promote macrophage foam cell formation via Toll-like receptor-dependent lipid body biosynthesis. J. Atheroscler. Thromb.19 (2), 137–148. 10.5551/jat.10249

  • 105

    NoceA.MarchettiM.MarroneG.Di RenzoL.Di LauroM.Di DanieleF.et al (2022). Link between gut microbiota dysbiosis and chronic kidney disease. Eur. Rev. Med. Pharmacol. Sci.26 (6), 2057–2074. 10.26355/eurrev_202203_28354

  • 106

    NoorJ.ChaudhryA.BatoolS.NoorR.FatimaG. (2023). Exploring the impact of the gut microbiome on obesity and weight loss: a review article. Cureus15 (6), e40948. 10.7759/cureus.40948

  • 107

    OnalE. M.AfsarB.CovicA.VaziriN. D.KanbayM. (2019). Gut microbiota and inflammation in chronic kidney disease and their roles in the development of cardiovascular disease. Hypertens. Res.42 (2), 123–140. 10.1038/s41440-018-0144-z

  • 108

    OrganC. L.OtsukaH.BhushanS.WangZ.BradleyJ.TrivediR.et al (2016). Choline diet and its gut microbe-derived metabolite, trimethylamine N-Oxide, exacerbate pressure overload-induced heart failure. Circ. Heart Fail9 (1), e002314. 10.1161/CIRCHEARTFAILURE.115.002314

  • 109

    ParkJ. Y.TakaharaN.GabrieleA.ChouE.NaruseK.SuzumaK.et al (2000). Induction of endothelin-1 expression by glucose: an effect of protein kinase C activation. Diabetes49 (7), 1239–1248. 10.2337/diabetes.49.7.1239

  • 110

    ParkS.ZhangT.KangS. (2023). Fecal microbiota composition, their interactions, and metagenome function in US adults with type 2 diabetes according to enterotypes. Int. J. Mol. Sci.24 (11), 9533. 10.3390/ijms24119533

  • 111

    ParvanovaA.ReseghettiE.AbbateM.RuggenentiP. (2023). Mechanisms and treatment of obesity-related hypertension-part 1: mechanisms. Clin. Kidney J.17 (1), sfad282. 10.1093/ckj/sfad282

  • 112

    PasiniE.AquilaniR.TestaC.BaiardiP.AngiolettiS.BoschiF.et al (2016). Pathogenic gut flora in patients with chronic heart failure. JACC Heart Fail.4 (3), 220–227. 10.1016/j.jchf.2015.10.009

  • 113

    PelletierC. C.CroyalM.EneL.AguesseA.Billon-CrossouardS.KrempfM.et al (2019). Elevation of Trimethylamine-N-Oxide in chronic kidney disease: contribution of decreased glomerular filtration rate. Toxins (Basel)11 (11), 635. 10.3390/toxins11110635

  • 114

    PetersenM. C.ShulmanG. I. (2018). Mechanisms of insulin action and insulin resistance. Physiol. Rev.98 (4), 2133–2223. 10.1152/physrev.00063.2017

  • 115

    PiresL.Gonzalez-ParamĂĄsA. M.HelenoS. A.CalhelhaR. C. (2024). Gut microbiota as an endocrine organ: unveiling its role in human physiology and health. Appl. Sci.14 (20), 9383. 10.3390/app14209383

  • 116

    PluznickJ. (2014). A novel SCFA receptor, the microbiota, and blood pressure regulation. Gut Microbes5 (2), 202–207. 10.4161/gmic.27492

  • 117

    PrasadK. N.BondyS. C. (2018). Dietary fibers and their fermented short-chain fatty acids in prevention of human diseases. Mech. Ageing Dev.S0047–6374 (18), 30013–30017. 10.1016/j.mad.2018.10.003

  • 118

    QinJ.LiY.CaiZ.LiS.ZhuJ.ZhangF.et al (2012). A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature490 (7418), 55–60. 10.1038/nature11450

  • 119

    RamezaniA.RajD. S. (2014). The gut microbiome, kidney disease, and targeted interventions. J. Am. Soc. Nephrol.25 (4), 657–670. 10.1681/ASN.2013080905

  • 120

    RidlonJ. M.HarrisS. C.BhowmikS.KangD. J.HylemonP. B. (2016). Consequences of bile salt biotransformations by intestinal bacteria. Gut Microbes.7 (1), 22–39. 10.1080/19490976.2015.1127483

  • 121

    RodrĂ­guez-GarcĂ­aM.MartĂ­nezI.AliartI.Sainz de MedranoJ. I.RicoN.Escudero-SaizV. J.et al (2025). Validation of an LC-HRMS method for quantifying indoxyl sulfate and p-Cresyl sulfate in human serum. Molecules30 (4), 782. 10.3390/molecules30040782

  • 122

    RogeroM. M.CalderP. C. (2018). Obesity, inflammation, toll-like receptor 4 and fatty acids. Nutrients10 (4), 432. 10.3390/nu10040432

  • 123

    SahaA. K.XuX. J.LawsonE.DeoliveiraR.BrandonA. E.KraegenE. W.et al (2010). Downregulation of AMPK accompanies leucine- and glucose-induced increases in protein synthesis and insulin resistance in rat skeletal muscle. Diabetes59 (10), 2426–2434. 10.2337/db09-1870

  • 124

    SahaS.PupoE.ZaririA.van der LeyP. (2022). Lipid A heterogeneity and its role in the host interactions with pathogenic and commensal bacteria. Microlife3, uqac011. 10.1093/femsml/uqac011

  • 125

    SalvatoreS. P.ChevalierJ. M.KuoS. F.AudiaP. F.SeshanS. V. (2017). Kidney disease in patients with obesity: it is not always obesity-related glomerulopathy alone. Obes. Res. Clin. Pract.11 (5), 597–606. 10.1016/j.orcp.2017.04.003

  • 126

    SandekA.BauditzJ.SwidsinskiA.BuhnerS.Weber-EibelJ.von HaehlingS.et al (2007). Altered intestinal function in patients with chronic heart failure. J. Am. Coll. Cardiol.50 (16), 1561–1569. 10.1016/j.jacc.2007.07.016

  • 127

    SankarganeshP.BhuniaA.Ganesh KumarA.Surendra BabuA.GopukumarS. T.LokeshE. (2025). Short-chain fatty acids (SCFAs) in gut health: implications for drug metabolism and therapeutics. Med. Microecology25, 100139. 10.1016/j.medmic.2025.100139

  • 128

    SarafidisP. A.RuilopeL. M. (2006). Insulin resistance, hyperinsulinemia, and renal injury: Mechanisms and implications. Am. J. Nephrol.26 (3), 232–244. 10.1159/000093632

  • 129

    Sasidharan PillaiS.GagnonC. A.FosterC.AshrafA. P. (2024). Exploring the gut microbiota: key insights into its role in obesity, metabolic syndrome, and type 2 diabetes. J. Clin. Endocrinol. Metab.109 (11), 2709–2719. 10.1210/clinem/dgae499

  • 130

    SayinS. I.WahlströmA.FelinJ.JĂ€nttiS.MarschallH. U.BambergK.et al (2013). Gut microbiota regulates bile acid metabolism by reducing the levels of tauro-beta-muricholic acid, a naturally occurring FXR antagonist. Cell Metab.17 (2), 225–235. 10.1016/j.cmet.2013.01.003

  • 131

    SchellingJ. R. (2022). The contribution of lipotoxicity to diabetic kidney disease. Cells11 (20), 3236. 10.3390/cells11203236

  • 132

    SchiattarellaG. G.SanninoA.ToscanoE.GiuglianoG.GargiuloG.FranzoneA.et al (2017). Gut microbe-generated metabolite trimethylamine-N-oxide as cardiovascular risk biomarker: A systematic review and dose-response meta-analysis. Eur. Heart J.38 (39), 2948–2956. 10.1093/eurheartj/ehx342

  • 133

    SenderR.FuchsS.MiloR. (2016). Revised estimates for the number of human and bacteria cells in the body. PLoS Biol.14 (8), e1002533. 10.1371/journal.pbio.1002533

  • 134

    SharmaA. M.EngeliS. (2006). Obesity and the renin-angiotensin-aldosterone system. Expert Rev. Endocrinol. Metab.1 (2), 255–264. 10.1586/17446651.1.2.255

  • 135

    SheP.Van HornC.ReidT.HutsonS. M.CooneyR. N.LynchC. J. (2007). Obesity-related elevations in plasma leucine are associated with alterations in enzymes involved in branched-chain amino acid metabolism. Am. J. Physiol. Endocrinol. Metab.293 (6), E1552–E1563. 10.1152/ajpendo.00134.2007

  • 136

    ShiM.YueY.MaC.DongL.ChenF. (2022). Pasteurized Akkermansia muciniphila ameliorate the LPS-induced intestinal barrier dysfunction via modulating AMPK and NF-ÎșB through TLR2 in Caco-2 cells. Nutrients14 (4), 764. 10.3390/nu14040764

  • 137

    SinghG. B.ZhangY.BoiniK. M.KokaS. (2019). High mobility group box 1 mediates TMAO-induced endothelial dysfunction. Int. J. Mol. Sci.20 (14), 3570. 10.3390/ijms20143570

  • 138

    SkovJ.DejgaardA.FrþkiérJ.HolstJ. J.JonassenT.RittigS.et al (2013). Glucagon-like peptide-1 (GLP-1): effect on kidney hemodynamics and renin-angiotensin-aldosterone system in healthy men. J. Clin. Endocrinol. Metab.98 (4), E664–E671. 10.1210/jc.2012-3855

  • 139

    StasiA.CosolaC.CaggianoG.CimmarustiM. T.PalieriR.AcquavivaP. M.et al (2022). Obesity-related chronic kidney disease: principal mechanisms and new approaches in nutritional management. Front. Nutr.9, 925619. 10.3389/fnut.2022.925619

  • 140

    StrandwitzP.KimK. H.TerekhovaD.LiuJ. K.SharmaA.LeveringJ.et al (2019). GABA-modulating bacteria of the human gut microbiota. Nat. Microbiol.4 (3), 396–403. 10.1038/s41564-018-0307-3

  • 141

    SunC. Y.ChangS. C.WuM. S. (2012). Uremic toxins induce kidney fibrosis by activating intrarenal renin-angiotensin-aldosterone system associated epithelial-to-mesenchymal transition. PLoS One7 (3), e34026. 10.1371/journal.pone.0034026

  • 142

    SunG.YinZ.LiuN.BianX.YuR.SuX.et al (2017). Gut microbial metabolite TMAO contributes to renal dysfunction in a mouse model of diet-induced obesity. Biochem. Biophys. Res. Commun.493 (2), 964–970. 10.1016/j.bbrc.2017.09.108

  • 143

    SunL.MaL.MaY.ZhangF.ZhaoC.NieY. (2018). Insights into the role of gut microbiota in obesity: pathogenesis, mechanisms, and therapeutic perspectives. Protein Cell.9 (5), 397–403. 10.1007/s13238-018-0546-3

  • 144

    SunD.XiangH.YanJ.HeL. (2022). Intestinal microbiota: a promising therapeutic target for hypertension. Front. Cardiovasc Med.9, 970036. 10.3389/fcvm.2022.970036

  • 145

    TakkavatakarnK.WuttiputinunT.PhannajitJ.PraditpornsilpaK.Eiam-OngS.SusantitaphongP. (2021). Protein-bound uremic toxin lowering strategies in chronic kidney disease: a systematic review and meta-analysis. J. Nephrol.34 (6), 1805–1817. 10.1007/s40620-020-00955-2

  • 146

    TanY.ShengZ.ZhouP.LiuC.ZhaoH.SongL.et al (2019). Plasma trimethylamine N-Oxide as a novel biomarker for plaque rupture in patients with ST-Segment-Elevation myocardial infarction. Circ. Cardiovasc Interv.12 (1), e007281. 10.1161/CIRCINTERVENTIONS.118.007281

  • 147

    TomassenM. M. M.GoversC.VosA. P.de WitN. J. W. (2023). Dietary fat induced chylomicron-mediated LPS translocation in a bicameral Caco-2cell model. Lipids Health Dis.22 (1), 4. 10.1186/s12944-022-01754-3

  • 148

    Tonch-CerbuA.-K.BoiceanA.-G.StoiaO.-M.TeodoruM. (2025). Gut microbiota-derived metabolites in atherosclerosis: pathways, biomarkers, and targets. Int. J. Mol. Sci.26 (17), 8488. 10.3390/ijms26178488

  • 149

    TourountzisT.LiouliosG.FylaktouA.MoysidouE.PapagianniA.StangouM. (2022). Microbiome in chronic kidney disease. Life (Basel)12 (10), 1513. 10.3390/life12101513

  • 150

    TraunerM.ClaudelT.FickertP.MoustafaT.WagnerM. (2010). Bile acids as regulators of hepatic lipid and glucose metabolism. Dig. Dis.28 (1), 220–224. 10.1159/000282091

  • 151

    TremblayF.MaretteA. (2001). Amino acid and insulin signaling via the mTOR/p70 S6 kinase pathway. A negative feedback mechanism leading to insulin resistance in skeletal muscle cells. J. Biol. Chem.276 (41), 38052–38060. 10.1074/jbc.M106703200

  • 152

    TrÞseidM.AndersenG. Ø.BrochK.HovJ. R. (2020). The gut microbiome in coronary artery disease and heart failure: current knowledge and future directions. EBioMedicine52, 102649. 10.1016/j.ebiom.2020.102649

  • 153

    TsujiK.UchidaN.NakanohH.FukushimaK.HaraguchiS.KitamuraS.et al (2024). The gut-kidney axis in chronic kidney diseases. Diagn. (Basel)15 (1), 21. 10.3390/diagnostics15010021

  • 154

    TuomainenM.LindströmJ.LehtonenM.AuriolaS.PihlajamÀkiJ.PeltonenM.et al (2018). Associations of serum indolepropionic acid, a gut microbiota metabolite, with type 2 diabetes and low-grade inflammation in high-risk individuals. Nutr. Diabetes8 (1), 35. 10.1038/s41387-018-0046-9

  • 155

    TurnbaughP. J.LeyR. E.MahowaldM. A.MagriniV.MardisE. R.GordonJ. I. (2006). An obesity-associated gut microbiome with increased capacity for energy harvest. Nature444 (7122), 1027–1031. 10.1038/nature05414

  • 156

    VallonV.ThomsonS. C. (2020). The tubular hypothesis of nephron filtration and diabetic kidney disease. Nat. Rev. Nephrol.16, 317–336. 10.1038/s41581-020-0256-y

  • 157

    VecchiolaA.LagosC. F.CarvajalC. A.BaudrandR.FardellaC. E. (2016). Aldosterone production and signaling dysregulation in obesity. Curr. Hypertens. Rep.18 (3), 20. 10.1007/s11906-016-0626-9

  • 158

    WangZ.KlipfellE.BennettB. J.KoethR.LevisonB. S.DugarB.et al (2011). Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature472 (7341), 57–63. 10.1038/nature09922

  • 159

    WangH.AiniwaerA.SongY.QinL.PengA.BaoH.et al (2023). Perturbed gut microbiome and fecal and serum metabolomes are associated with chronic kidney disease severity. Microbiome11 (1), 3. 10.1186/s40168-022-01443-4

  • 160

    WatanabeH.MiyamotoY.HondaD.TanakaH.WuQ.EndoM.et al (2013). p-Cresyl sulfate causes renal tubular cell damage by inducing oxidative stress by activation of NADPH oxidase. Kidney Int.83 (4), 582–592. 10.1038/ki.2012.448

  • 161

    WieremaT. K.HoubenA. J.de LeeuwP. W. (1997). Acetylcholine-induced vasodilatation in the human hypertensive kidney: inhibition by muscarinic receptor antagonism. J. Hypertens.15 (12 Pt 2), 1649–1651. 10.1097/00004872-199715120-00067

  • 162

    WilckN.MatusM. G.KearneyS. M.OlesenS. W.ForslundK.BartolomaeusH.et al (2017). Salt-responsive gut commensal modulates TH17 axis and disease. Nature551 (7682), 585–589. 10.1038/nature24628

  • 163

    WotingA.PfeifferN.LohG.KlausS.BlautM. (2014). Clostridium ramosum promotes high-fat diet-induced obesity in gnotobiotic mouse models. mBio5 (5), e01530. 10.1128/mBio.01530-14

  • 164

    WuI. W.HsuK. H.LeeC. C.SunC. Y.HsuH. J.TsaiC. J.et al (2011). p-Cresyl sulphate and indoxyl sulphate predict progression of chronic kidney disease. Nephrol. Dial. Transpl.26 (3), 938–947. 10.1093/ndt/gfq580

  • 165

    WuP.ChenJ.ChenJ.TaoJ.WuS.XuG.et al (2020). Trimethylamine N-oxide promotes apoE-/- mice atherosclerosis by inducing vascular endothelial cell pyroptosis via the SDHB/ROS pathway. J. Cell Physiol.235 (10), 6582–6591. 10.1002/jcp.29518

  • 166

    XuanW.OuY.ChenW.HuangL.WenC.HuangG.et al (2023). Faecalibacterium prausnitzii improves lipid metabolism disorder and insulin resistance in type 2 diabetic mice. Br. J. Biomed. Sci.80, 10794. 10.3389/bjbs.2023.10794

  • 167

    YamamotoK.YamashitaM.OdaM.Tjendana TjhinV.InagawaH.SomaG. I. (2023). Oral administration of lipopolysaccharide enhances insulin signaling-related factors in the KK/Ay mouse model of type 2 diabetes mellitus. Int. J. Mol. Sci.24, 4619. 10.3390/ijms24054619

  • 168

    YangT.SantistebanM. M.RodriguezV.LiE.AhmariN.CarvajalJ. M.et al (2015). Gut dysbiosis is linked to hypertension. Hypertension65 (6), 1331–1340. 10.1161/HYPERTENSIONAHA.115.05315

  • 169

    YanoJ. M.YuK.DonaldsonG. P.ShastriG. G.AnnP.MaL.et al (2015). Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis. Cell.161 (2), 264–276. 10.1016/j.cell.2015.02.047

  • 170

    YiB.SuK.CaiY. L.ChenX. L.BaoY.WenZ. Y. (2024). Liraglutide ameliorates diabetic kidney disease by modulating gut microbiota and L-5-Oxoproline. Eur. J. Pharmacol.983 (176905), 176905. 10.1016/j.ejphar.2024.176905

  • 171

    YokooK.YamamotoY.SuzukiT. (2021). Ammonia impairs tight junction barriers by inducing mitochondrial dysfunction in Caco-2 cells. FASEB J.35 (11), e21854. 10.1096/fj.202100758R

  • 172

    ZhangX.LermanL. O. (2017). The metabolic syndrome and chronic kidney disease. Transl. Res.183, 14–25. 10.1016/j.trsl.2016.12.004

  • 173

    ZhangH.DiBaiseJ. K.ZuccoloA.KudrnaD.BraidottiM.YuY.et al (2009). Human gut microbiota in obesity and after gastric bypass. Proc. Natl. Acad. Sci. U. S. A.106 (7), 2365–2370. 10.1073/pnas.0812600106

  • 174

    ZhangG.DarshiM.SharmaK. (2018). The warburg effect in diabetic kidney disease. Semin. Nephrol.38 (2), 111–120. 10.1016/j.semnephrol.2018.01.002

  • 175

    ZhangJ.NiY.QianL.FangQ.ZhengT.ZhangM.et al (2021). Decreased abundance of Akkermansia muciniphila leads to the impairment of insulin secretion and glucose homeostasis in lean type 2 diabetes. Adv. Sci. (Weinh)8 (16), e2100536. 10.1002/advs.202100536

  • 176

    ZhengM.YangX.WuQ.GongY.PangN.GeX.et al (2023). Butyrate attenuates hepatic steatosis induced by a high-fat and fiber-deficient diet via the hepatic GPR41/43-CaMKII/HDAC1-CREB pathway. Mol. Nutr. Food Res.67 (1), e2200597. 10.1002/mnfr.202200597

  • 177

    ZhouG.ZengJ.PengL.WangL.ZhengW.WuD.et al (2021). Fecal microbiota transplantation for membranous nephropathy. Cen. Case Rep.10 (2), 261–264. 10.1007/s13730-020-00560-z

  • 178

    ZhouX.JiS.ChenL.LiuX.DengY.YouY.et al (2024). Gut microbiota dysbiosis in hyperuricaemia promotes renal injury through the activation of NLRP3 inflammasome. Microbiome12 (1), 109. 10.1186/s40168-024-01826-9

  • 179

    ZhuW.GregoryJ. C.OrgE.BuffaJ. A.GuptaN.WangZ.et al (2016). Gut microbial metabolite TMAO enhances platelet hyperreactivity and thrombosis risk. Cell.165 (1), 111–124. 10.1016/j.cell.2016.02.011

  • 180

    ZhuJ.LyuJ.ZhaoR.LiuG.WangS. (2023). Gut macrobiotic and its metabolic pathways modulate cardiovascular disease. Front. Microbiol.14, 1272479. 10.3389/fmicb.2023.1272479

Summary

Keywords

cardiovascular disease, gut microbiota, MDAKD, obesity, type 2 diabetes

Citation

Witkowski M, PrzybyciƄski J, Wojciuk B, Czaja W, GoƂembiewska N and GoƂembiewska E (2026) The role of gut microbiome disruption in the development of metabolic dysfunction-associated kidney disease. Acta Biochim. Pol. 73:16436. doi: 10.3389/abp.2026.16436

Received

19 February 2026

Revised

06 July 2026

Accepted

14 July 2026

Published

24 July 2026

Volume

73 - 2026

Edited by

Zbigniew Heleniak, Medical University of Gdansk, Poland

Reviewed by

Hanna Kmita, Adam Mickiewicz University, Poland

Jakub Ruszkowski, Medical University of Gdansk, Poland

Updates

Copyright

*Correspondence: MichaƂ Witkowski,

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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