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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Acta Biochim. Pol.</journal-id>
<journal-title-group>
<journal-title>Acta Biochimica Polonica</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Acta Biochim. Pol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1734-154X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">16571</article-id>
<article-id pub-id-type="doi">10.3389/abp.2026.16571</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Brief Research Report</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Pilot analysis of protein profile alterations in plasma and aortic tissue of spontaneously hypertensive rats</article-title>
<alt-title alt-title-type="left-running-head">Papageorgiou et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/abp.2026.16571">10.3389/abp.2026.16571</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Papageorgiou</surname>
<given-names>Anastasios</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sofiou</surname>
<given-names>Fragkiski-Ioanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Philippou</surname>
<given-names>Anastassios</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gkrampovari</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Agiannitopoulos</surname>
<given-names>Konstantinos</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3427127"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Traikov</surname>
<given-names>Lubomir</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Medical Physics and Biophysics, Medical University - Sofia</institution>, <city>Sofia</city>, <country country="BG">Bulgaria</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Medical School, Department of Physiology, National and Kapodistrian University of Athens</institution>, <city>Athens</city>, <country country="GR">Greece</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Department of Chemistry, National and Kapodistrian University of Athens</institution>, <city>Athens</city>, <country country="GR">Greece</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Division of Genetics and Biotechnology, Department of Biology, National and Kapodistrian University of Athens</institution>, <city>Athens</city>, <country country="GR">Greece</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Konstantinos Agiannitopoulos, <email xlink:href="mailto:kagiannitopoulos@yahoo.gr">kagiannitopoulos@yahoo.gr</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-05-21">
<day>21</day>
<month>05</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>73</volume>
<elocation-id>16571</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>03</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>04</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>05</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Papageorgiou, Sofiou, Philippou, Gkrampovari, Agiannitopoulos and Traikov.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Papageorgiou, Sofiou, Philippou, Gkrampovari, Agiannitopoulos and Traikov</copyright-holder>
<license>
<ali:license_ref start_date="2026-05-21">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>The role of proteins in cellular activity has received close attention. Proteome analysis can detect early enough changes in the cell before the appearance of pathological changes. Due to the increasing number of cardiovascular complications, more specifically hypertension in modern life, this experimental pilot study tries to detect early changes in the protein profile in cases with arterial hypertension. In this pilot study, animal models were used, specifically control rats and spontaneously hypertensive rats (SHRs), which are widely used as translational models relevant to human cardiovascular physiology. Using gel electrophoresis (GE) method, we analysed proteomic signature of blood plasma and aorta tissue samples of the animal models.</p>
</abstract>
<kwd-group>
<kwd>blood plasma and aorta tissue</kwd>
<kwd>gel electrophoresis</kwd>
<kwd>hypertension</kwd>
<kwd>proteome analysis</kwd>
<kwd>spontaneous hypertensive rats (SHRs)</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study is financed by the European Union-Next Generation EU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project No BG-RRP-2.004-0004-C01.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="7"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Proteins are the main structural and functional components of cells created by the sequence of single components called amino acids (<xref ref-type="bibr" rid="B14">Ling et al., 2023</xref>). Proteome analysis uses the protein constitutions of living cells so as to evaluate very early changes in the living cells before structural changes appear, on the border with pathological and normal fractures (<xref ref-type="bibr" rid="B37">Xie et al., 2025</xref>).</p>
<p>According to scientific literature, there are a number of different methods, including immunohistochemistry, enzyme-linked immunosorbent assay, MALDI-TOF/TOF, Western blot analysis, affinity chromatography and Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis (SDS-PAGE) able to give us data to understand the biomolecular pathways in which proteins participate (<xref ref-type="bibr" rid="B17">Masson and Pashirova, 2025</xref>). These techniques are based on purification analysis, analysis of structural components and quantification of several protein molecules.</p>
<p>SDS-PAGE is an effective method for studying protein isoforms, post-translational modifications, and allelic variants, areas that are critical in responding to stress stimuli (<xref ref-type="bibr" rid="B12">Jorrin-Novo et al., 2019</xref>). The process involves applying an electric field to a gel matrix, where the molecules are charged and migrated at different rates inversely proportional to their size. PAGE is suitable for protein separation, while agarose gel electrophoresis is preferred for DNA fragment analysis. The method is highly used not only due to lower cost compared to other separation techniques, but also due to simplicity, and broad applicability (<xref ref-type="bibr" rid="B25">Santos, 2023</xref>). The technique uses fluorescence to label proteins. Multiple samples can be separated in a single gel, which improves productivity and reduces variability in proteomic studies. It is used in identification of protein expression under different conditions, like treatment responses and diseases (<xref ref-type="bibr" rid="B8">Cramer and Westermeier, 2012</xref>).</p>
<p>Protein homeostasis is a very important process for the normal cellular homeostasis (<xref ref-type="bibr" rid="B6">Chen et al., 2023</xref>). Their disturbances can significantly change cardiovascular function and adaptation to different stimuli such as high blood pressure (<xref ref-type="bibr" rid="B16">Mainali et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Tadic et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Hou and Yang, 2024</xref>). Hypertension is one of the major problems in the modern way of life. The main problem is increase in blood pressure within the arteries, which contributes to significant arterial damage and consequently increased work for the myocardium (<xref ref-type="bibr" rid="B7">Chironi et al., 2003</xref>; <xref ref-type="bibr" rid="B28">Taghizadeh et al., 2015</xref>; <xref ref-type="bibr" rid="B29">Taghizadeh et al., 2022</xref>; <xref ref-type="bibr" rid="B1">Agafonova et al., 2023</xref>). Proteostasis mechanisms are closely related with hypertension, even if the patient is undergoing medical treatment with well controlled blood pressure (<xref ref-type="bibr" rid="B31">Teixeira et al., 2022</xref>; <xref ref-type="bibr" rid="B2">Al Ashmar et al., 2024</xref>).</p>
<p>SHRs were developed in 1963 by Okamoto through selective breeding for hypertension by mating two rats with pre-existing hypertension. Hypertension is developed as a result of a single gene mutation (<xref ref-type="bibr" rid="B20">Okamoto and Aoki, 1963</xref>). At the same time, neurological implications such as cognitive impairment and brain atrophy, are observed, reflecting features of hypertension -associated brain disorders in humans (<xref ref-type="bibr" rid="B30">Tayebati et al., 2012</xref>). Recently, an increasing number of animal models are created in order to investigate the exact pathway of many cardiovascular diseases related to hypertension (<xref ref-type="bibr" rid="B38">Yu and Shang, 2013</xref>; <xref ref-type="bibr" rid="B5">Breckenridge, 2013</xref>). SHRs model is a unique model due to the similarity with human essential hypertension and Wistar rats as a control animals are a useful tool for studying the pathogenesis of the disease and experimental strategies that are impossible to run in humans (<xref ref-type="bibr" rid="B19">Mu&#xf1;oz-Durango et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Pezeshki and Nematbakhsh, 2021</xref>). Furthermore, several studies have tried to investigate the exact molecular pathophysiology of hypertension as well as the disturbances in renin-angiotensin-aldosterone system which contribute to vascular pathology and increased cardiac morbidity and mortality (<xref ref-type="bibr" rid="B3">Ames et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Lip and Padmanabhan, 2020</xref>).</p>
<p>In the present pilot animal model study, we used control rats and SHRs trying to investigate the main differences in protein profiles using SDS-PAGE.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<p>The current investigation were based on the evaluation of hypertension and how hypertension is possible to alter the band distribution of proteins into blood plasma, heart and aorta. Our study was based on explanation of stress undergone by the myocardium and aorta through evaluation of vascular structure and protein materials from animal models more precisely from rats (n &#x3d; 2). This pilot study is a descriptive, exploratory investigation using rats, specifically one rat from the control group (Wistar) (n &#x3d; 1) and one rat from the SHR model group (n &#x3d; 1) to conduct preliminary experiments examining the proteomic signature of heart tissue, aorta and blood plasma. The rat models were male, around 350&#xa0;g and 3&#xa0;months old.</p>
<p>A descriptive and highly accurate and similar protocol was done in both rats following the exact same procedure to the animals able to isolate blood primarily and then to proceed to extraction of heart and aorta. The animals were anesthetized using 15&#xa0;mg/kg xylazine and 85&#xa0;mg/kg ketamine for achieve extended analgesia and immobility able to proceed to blood collection (<xref ref-type="bibr" rid="B33">Van Pelt, 1977</xref>; <xref ref-type="bibr" rid="B35">Wixson et al., 1987</xref>). The process of isolation of blood plasma required the collection of the blood and the centrifugation of it at 2,500 &#xd7; g for 15&#xa0;min at room temperature (20&#xa0;&#xb0;C). After that, the supernatant yellow plasma was aspirated from the rest of the sediment (blood cells) and it was stored in Eppendorf tubes in &#x2212;20&#xa0;&#xb0;C. Then, we opened the ventral portion of the animal using a scalpel, to isolate the heart and extract the aorta. In the process of isolating the aorta, aorta was removed as a whole vessel, from directly above the heart (ascending aorta) to its bifurcation into the common iliac arteries (aortic arch, thoracic and abdominal aorta) and we noticed a thick and rigid aortic wall and heart of SHR compared with the control. Then the organs were placed in physiological solution for washing. Next step was the clearance of the aorta and separation of the middle layer of tunica media from the external layer of tunica adventitia. Then the tunica media was diluted in phosphate buffer solution (PBS) with pH 7.4 following Cold Spring Harbor protocols (<xref ref-type="bibr" rid="B13">Laemmli, 1970</xref>) and it was centrifuged in 2,500 &#xd7; g in order the proteins to be released into supernatant. The same protocol of dilution was followed also in blood plasma samples. Then protein analysis was subsequently performed with gel electrophoresis so as to evaluate proteins into blood plasma and aorta and more precisely to estimate an approximate concentration of proteins per group and any possible differences between them through diagrammatic presentation. Previous experience and experiments with these types of rats have proven that the experimental accuracy is based not a high number of animals but to repetition of the same experiment twice under scientifically controlled conditions. Based on that we proceed to the electrophoresis experiment twice proving the same result in gel formation and diagrammatic appearance.</p>
<p>After visualizing the gel by staining with Coomassie Brilliant Blue, we dried it to remove the remaining liquid allowing it to be scanned using a gel scanner for analysis by digital densitometry. Densitometry evaluated protein levels in the obtained gels and the results were subsequently analyzed using ORIGIN Pro software for data processing and interpretation. To achieve a more objective analysis of the obtained gel densitometry was performed of the gel images. Densitometric data are expressed in arbitrary units (a.u.), reflecting relative band intensity, and were calibrated using a BSA standard curve for approximate protein quantification.</p>
<p>As the current analysis represents a preliminary pilot investigation with a very limited sample size (n &#x3d; 2), the analysis was restricted to descriptive observations. No inferential statistical tests were conducted, as the small number of animals does not provide sufficient power to support meaningful statistical comparisons. Finally, the present study is recognized and has the permission from the ethic committee of Medical University of Sofia (MUS) related to animal model use following the rules about animal development and use.</p>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>In the course of our study, we monitored changes in the protein distribution profiles isolated from the endothelial and smooth muscle layer of the aorta in control and SHR model. All densitometric profiles are presented with molecular weight (kDa) on the x-axis and densitometric intensity (arbitrary units, a.u.) on the y-axis, representing relative protein abundance.</p>
<p>Following SDS-PAGE, we visualized proteins to determine their length and abundance. After that we performed a standardization method including PAGE-densitometry of standard solution of 1&#xa0;mg/mL BSA. Densitometry estimated not only molecular weight which is determined preliminary by the position of protein markers but also, is able to read the amount of protein in the medium for calculating the integral of the curve determined after densitometry of the obtained individual bands. In <xref ref-type="fig" rid="F1">Figure 1</xref>, it is shown that a calibration curve was established using BSA, where 217 densitometric units (pixels) correspond to a protein concentration of 1&#xa0;mg/mL at 66&#xa0;kDa, allowing semi-quantitative estimation of protein abundance.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>SDS&#x2013;PAGE densitogram of Bovine Serum Albumin (BSA) standard (1&#xa0;mg/mL). The x-axis represents protein molecular weight (kDa), while the y-axis represents densitometric intensity (arbitrary units, a.u.), corresponding to protein concentration. A reference value of 217 pixels corresponds to 1&#xa0;mg/mL protein concentration at 66&#xa0;kDa, and was used for calibration of protein quantification.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16571-g001.tif">
<alt-text content-type="machine-generated">SDS-PAGE gel image on the left shows molecular weight markers and a protein band for 1 milligram per milliliter bovine serum albumin near 66 kilodaltons. On the right, a line graph plots protein concentration against molecular weight in kilodaltons, with a sharp peak at 66 kilodaltons, blue lines indicating maximum intensity, and a red line marking the baseline noise threshold.</alt-text>
</graphic>
</fig>
<p>Additionally, in <xref ref-type="fig" rid="F2">Figure 2</xref> is described the result of the proteomic pattern observed in the control rat (black line) and SHR (red line) after isolation of blood plasma supernatant taken from both animals. Profile of distribution of control rat is much more stable and it is dominated by one protein band, at 60&#xa0;kDa and four less pronounced bands at 25&#xa0;kDa, 50&#xa0;kDa, 95&#xa0;kDa and 150&#xa0;kDa respectively. On the other hand, SHR proteomic pattern is appeared with higher concentration in comparison to control and a more dispersed protein distribution dominated by one protein band at 60&#xa0;kDa and three less pronounced bands at 25&#xa0;kDa (similar to control), 50&#xa0;kDa appeared as double band distribution and with definitely higher concentration and at 150&#xa0;kDa respectively, after recalculation of concentration equal to a concentration of 0.83&#xa0;mg/dL.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>SDS&#x2013;PAGE densitometric profile of blood plasma proteins from control and SHR animals. The x-axis shows protein molecular weight (kDa), and the y-axis shows densitometric intensity (arbitrary units, a.u.), reflecting relative protein abundance. The blue line represents the control rat, while the red line represents the SHR. Major protein bands and their approximate molecular weights are indicated in the profile.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16571-g002.tif">
<alt-text content-type="machine-generated">SDS-PAGE gel image and molecular weight marker are shown on the left, with bands outlined in black and red. Right panel shows an SDS-PAGE densitometry graph comparing protein absorption peaks between Control (black) and SHR (red) samples, with key peaks circled reflecting differences at specific molecular weights.</alt-text>
</graphic>
</fig>
<p>At <xref ref-type="fig" rid="F3">Figure 3</xref> is shown the result of the protein distribution profile in SHR, which is dominated by 7 protein bands. The dominated four protein bands, located at 96&#xa0;kDa band (4&#xa0;mg/dL), a second band of 64&#xa0;kDa (8&#xa0;mg/dL) a third band of 58&#xa0;kDa (5&#xa0;mg/dL) and a fourth band at 48&#xa0;kDa (5&#xa0;mg/dL). Moreover, the same graph shows three less pronounced bands at 118, 110 and 22&#xa0;kDa respectively (after recalculation equal to concentrations of approximately 0.93&#xa0;mg/dL). On the other hand, the control protein distribution profile is dominated by a single band at 66&#xa0;kDa and four less pronounced bands at 180&#xa0;kDa, 60&#xa0;kDa, 40&#xa0;kDa and 22&#xa0;kDa. The presence of multiple protein bands in comparison to the relatively stable profile of the control rat, reflects increased cellular activity, possible vascular injury and susceptibility to bleeding and tissue adaptation processes.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>SDS&#x2013;PAGE densitometric profile of aortic tissue (tunica media) proteins from control and SHR animals. The x-axis represents protein molecular weight (kDa), and the y-axis represents densitometric intensity (arbitrary units, a.u.), corresponding to relative protein levels. The red line corresponds to the control rat, while the black line corresponds to the SHR. Prominent protein bands are annotated according to their molecular weight.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16571-g003.tif">
<alt-text content-type="machine-generated">Molecular weight marker ladder, SDS-PAGE gel with protein bands stained and circled, and densitometry plot comparing absorption intensity of protein bands for SHR (black line) and Control (red line) samples across molecular weights from seventeen to two hundred forty-five kilodaltons. Key bands and peaks are highlighted with circles, showing differences between groups.</alt-text>
</graphic>
</fig>
<p>Lastly, based on tissue structure and composition SHR&#x2019;s aorta was shorter and much more rigid relative to the control. Importantly, there was a higher stiffness into heart and vessel resulting in thicker vascular wall and thicker myocardium.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the present pilot animal model study, we observed two important consequences of arterial hypertension based on macroscopic and microscopic evaluation. On the one hand, arterial hypertension affects significantly the structure of aorta causing changes to its elasticity leading to vascular stiffness and remodelling. On the other hand, arterial hypertension is associated with protein profile instability and consequently due to genetic profile instability. This proteomic imbalance leads to different expression of proteins between control rat and SHR proven by our electrophoresis results. The interesting investigation is that proteomic disturbances occur both to animals&#x2019; blood plasma in a smaller degree and to animals&#x2019; aortic tissue, especially in muscular layer of aorta, which we detect the most severe and significant differences. As it is observed, SHR animals try to adapt to the mechanical stressful stimuli and the whole organism tries to reshape structure and properties of vital organs such as heart and aorta. However, these properties lead to anatomical changes such as heart enlargement and aortic stiffness in order to maintain cardiac output as well as aortic pulse wave able to push the blood to the periphery. These changes involving alteration of mechanical properties of cardiovascular system were confirmed by molecular analysis of proteins. More precisely, relative abundance differences in SHR rat detected by SDS-PAGE analysis, suggesting early molecular changes that can be involved in complex vascular remodelling and dysfunction that arise in chronic hypertension situations leading additionally to chronic inflammatory progression with secretion of inflammatory factors such as C-reactive protein, cytokines and chemokines as well as several immune and inflammatory cells causing endothelial dysfunction as well as cellular and muscular disorganization (<xref ref-type="bibr" rid="B36">Xiao and Harrison, 2020</xref>). Although subsequent proteomic pattern changes are understood in the attempt of organism to respond to vascular stress, the protein distribution in blood and aortic tissue respectively is highly irregular as shown in diagrams. It is obvious that these changes are followed by an altered genetic background thereby causing expression of different proteins at varying concentrations spontaneously. However, despite their adaptation to these alterations, SHRs generally, have a substantially shorter lifespan. Even hypertension in SHR model has genetic origin and the rats are familiar to such vascular forces; they live for shorter period of time (<xref ref-type="bibr" rid="B3">Ames et al., 2019</xref>).</p>
<p>It is widely acknowledged that hypertension exerts sustained mechanical stress on vascular endothelial and smooth muscle cells, particularly in the tunica media which is the middle layer of the vessel created a complex network of smooth muscle cells able to adapt and withstand blood pressure forces (<xref ref-type="bibr" rid="B15">Lip and Padmanabhan, 2020</xref>). This biomechanical stress triggers several intracellular signaling pathways that cause changes in the expression of genes and proteins as well as the production of reactive oxygen species (ROS) (<xref ref-type="bibr" rid="B32">Touyz and Schiffrin, 2004</xref>). The observed increase that was discovered in band intensity in the 50&#x2013;60&#xa0;kDa range in SHR plasma likely corresponds to elevated levels of albumin and other stress-responsive proteins such as haptoglobin and transferrin, which have been linked to inflammation and oxidative stress in hypertensive conditions (<xref ref-type="bibr" rid="B34">Virdis and Taddei, 2011</xref>; <xref ref-type="bibr" rid="B9">Fujita and Fujita, 2013</xref>).</p>
<p>In the aortic tissue sample belonging to SHR, the protein distribution shown new dominant bands in the range of 58&#x2013;96&#xa0;kDa, suggesting upregulation of proteins and proteome profile at all (<xref ref-type="bibr" rid="B11">Intengan and Schiffrin, 2001</xref>; <xref ref-type="bibr" rid="B18">Montezano and Touyz, 2012</xref>). All those investigations have shown changes between SHR animal and control ones, but it is necessary to provided additional sophisticated investigations able to give us more data. The value of the present study is that using a small number of animals, we achieved to find and to detect significant changes was done in protein profile of SHRs in comparison to normotensive rats. In addition, there is better understanding of the effects of hypertension to humans while these preliminary data can give as new perspectives for more experiments and blood tests and understanding in humans suffered by arterial hypertension through analysis of their protein profile from blood. A future bridging study from the present animal study to a human may lead to development of better and more targeted antihypertensive therapies based on proteomic and subsequently the genetic profile of each patient decreasing all the adverse effects followed by the increase of arterial blood pressure.</p>
<p>Previous studies have shown that hypertensive stimuli not only affect the mechanical properties of vessels but also induce metabolic shifts and chronic low-grade inflammation, characterized by the expression of inflammatory factors such as several cytokines and lymphocytes (<xref ref-type="bibr" rid="B26">Schiffrin, 2014</xref>). The altered protein expression pattern we found in our study may represent these early pathophysiological processes. For instance, the increased presence of low-molecular-weight proteins (e.g., at &#x223c;48&#xa0;kDa) could indicate activation of inflammatory mediators or degradation fragments from larger structural proteins, possibly due to enhanced proteolytic activity in the hypertensive vascular wall (<xref ref-type="bibr" rid="B39">Zhou et al., 2012</xref>).</p>
<p>Finally, it is broadly accepted that high blood pressure negatively affects a number of organs and systems in the body. Hypertension is closely related to coronary artery disease, renal complications, neurovascular disorders as well as hemodynamic imbalances (<xref ref-type="bibr" rid="B24">Rosendorff, 2007</xref>; <xref ref-type="bibr" rid="B22">Pistoia et al., 2016</xref>). These effects lead to a dramatic increase in cost for healthcare system due to increased morbidity and mortality. The results of the present study support the use of proteomic approaches in identifying early molecular biomarkers of hypertension, providing valuable insights into post-translational modifications, protein-protein interactions, and the downstream effects of biomechanical stress on vascular homeostasis (<xref ref-type="bibr" rid="B23">Rappsilber et al., 2007</xref>; <xref ref-type="bibr" rid="B4">Aslam et al., 2017</xref>).</p>
<p>While this pilot study successfully identified distinct alterations in the protein profiles of both plasma and aortic tissue in SHR, it is important to acknowledge its limitations. The primary limitation is inherent to the SDS-PAGE methodology used; although it is highly effective for separating proteins by molecular weight and revealing quantitative changes, it does not allow for the definitive identification of the specific proteins that constitute the differential bands observed. Furthermore, this investigation focused on proteomic profiling and lacked functional or clinical correlates, such as direct measurements of vascular reactivity, inflammatory cytokine levels, or gene expression data. Incorporating such analyses would provide a more comprehensive pathophysiological context for the protein changes.</p>
<p>To directly address these limitations and build upon these promising initial findings, we have outlined a clear trajectory for future research. Our immediate next step is to employ high-resolution tandem mass spectrometry (LC-MS/MS) to unambiguously identify the candidate proteins responsible for the significant bands observed in the SHR samples. Following identification, we will develop targeted assays, such as Western blot analysis or enzyme-linked immunosorbent assays (ELISA), to validate the expression levels of these specific proteins in a larger, independent cohort of animals. This subsequent phase will also integrate detailed physiological and clinical parameters, including hemodynamic measurements, histological assessment of vascular remodeling, and analysis of oxidative stress markers. We anticipate that this integrated approach will not only validate the potential biomarkers discovered here but also elucidate their functional roles in the development and progression of hypertension, ultimately contributing to the identification of novel therapeutic targets.</p>
<p>In conclusion, this experimental pilot study reinforces the potential of proteomic analysis to detect early molecular changes in hypertension. The observed alterations in protein expression patterns in SHR reflect both systemic (plasma) and local (aortic) responses to elevated blood pressure. These findings support the need for further proteomic analysis with LC-MS/MS and functional studies to better characterize the pathophysiological mechanisms of hypertension and cardiovascular disease.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The animal studies were approved by Ethic committee of Medical University-Sofia No019/07.03.2017. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors(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.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>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.</p>
</sec>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/31488/overview">Grzegorz Wegrzyn</ext-link>, University of Gdansk, Poland</p>
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