<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Acta Biochim. Pol.</journal-id>
<journal-title>Acta Biochimica Polonica</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Acta Biochim. Pol.</abbrev-journal-title>
<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">14164</article-id>
<article-id pub-id-type="doi">10.3389/abp.2025.14164</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Science archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Resistance of HEK-293 and COS-7 cell lines to oxidative stress as a model of metabolic response</article-title>
<alt-title alt-title-type="left-running-head">Sapeta-Nowi&#x144;ska 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.2025.14164">10.3389/abp.2025.14164</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sapeta-Nowi&#x144;ska</surname>
<given-names>Monika</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3090372/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>So&#x142;tys</surname>
<given-names>Katarzyna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2915182/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>G&#x119;bczak</surname>
<given-names>Katarzyna</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barg</surname>
<given-names>Ewa</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1956725/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>M&#x142;ynarz</surname>
<given-names>Piotr</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2910802/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biochemistry, Molecular Biology and Biotechnology</institution>, <institution>Faculty of Chemistry</institution>, <institution>Wroc&#x0142;aw University of Science and Technology</institution>, <addr-line>Wroc&#x0142;aw</addr-line>, <country>Poland</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Basic Medical Science</institution>, <institution>Wroc&#x0142;aw Medical University</institution>, <addr-line>Wroc&#x0142;aw</addr-line>, <country>Poland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<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>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1980255/overview">Grzegorz Bartosz</ext-link>, University of Rzeszow, Poland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2624049/overview">&#x141;ukasz Grabowski</ext-link>, University of Gdansk, Poland</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Piotr M&#x142;ynarz, <email>piotr.mlynarz@pwr.edu.pl</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>72</volume>
<elocation-id>14164</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Sapeta-Nowi&#x144;ska, So&#x142;tys, G&#x119;bczak, Barg and M&#x142;ynarz.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Sapeta-Nowi&#x144;ska, So&#x142;tys, G&#x119;bczak, Barg and M&#x142;ynarz</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>Oxidative stress (OS), arising from an imbalance between reactive oxygen species (ROS) production and antioxidant defenses, plays a pivotal role in cellular dysfunction and the pathogenesis of numerous diseases. This study evaluates the impact of oxidative stress induced by hydrogen peroxide on the metabolomic profiles of the human embryonic kidney (HEK-293) and African green monkey kidney (COS-7) cell lines. Viability (MTT) and free radical accumulation (DCF-DA) assays confirmed a dose-dependent cytotoxic effect of hydrogen peroxide, with COS-7 cells exhibiting greater resistance and producing lower levels of intracellular ROS compared to HEK-293. Metabolomic profiling was conducted using nuclear magnetic resonance spectroscopy (<sup>1</sup>H NMR) to identify and quantify metabolic changes. Exposure to a free radical inducer significantly altered both intracellular and extracellular metabolites compared to control H<sub>2</sub>O<sub>2</sub>-free samples. The analysis revealed common changes in intracellular metabolites between the two lines, including glutamate, NAD<sup>&#x2b;</sup>, glutathione, ATP/ADP, AMP, and pyruvate &#x2014; key molecule for mitochondrial function, as well as extracellular metabolites such as glutamate, glutamine, acetate, lactate, and pyruvate. Metabolomic differences observed in COS-7 cells suggest a potentially greater capacity for metabolic adaptation to oxidative stress. These included elevated levels of branched-chain amino acids (BCAA), supporting energy production, and increased formate production, which may aid purine synthesis and cellular resilience. These findings highlight the distinct metabolic adaptations of COS-7 cells to oxidative stress in comparison to the HEK-293 cell line. They also provide insights into the direct cellular responses to altered redox potential, offering possible therapeutic strategies aimed at targeting metabolic pathways to mitigate oxidative stress.</p>
</abstract>
<kwd-group>
<kwd>oxidative stress</kwd>
<kwd>metabolomics</kwd>
<kwd>reactive oxygen species (ROS)</kwd>
<kwd>cell culture</kwd>
<kwd>TCA cycle</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Oxidative stress (OS), first described by Helmut Sies in 1985, is a critical factor in the development of numerous diseases (<xref ref-type="bibr" rid="B37">Sies, 2015</xref>; <xref ref-type="bibr" rid="B41">Teleanu et al., 2022</xref>; <xref ref-type="bibr" rid="B49">Zheng et al., 2022</xref>). It arises from an imbalance between reactive oxygen species (ROS) production and antioxidant defenses. ROS, primarily generated in the mitochondrial respiratory chain, are by-products of normal cellular metabolism. However, environmental factors such as pollution, microbial infections, radiation, and smoking can exacerbate ROS production, increasing the risk of cellular damage (<xref ref-type="bibr" rid="B44">Valko et al., 2007</xref>; <xref ref-type="bibr" rid="B1">Aseervatham et al., 2013</xref>). To counteract ROS-induced harm, cells rely on antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPX) (<xref ref-type="bibr" rid="B29">Nathan and Cunningham-Bussel, 2013</xref>).</p>
<p>While physiological ROS levels support processes like immune defense and wound healing, excessive ROS can overwhelm antioxidant defenses, triggering oxidative stress (<xref ref-type="bibr" rid="B14">&#x10e;ura&#x10d;kov&#xe1;, 2010</xref>; <xref ref-type="bibr" rid="B5">Bhattacharyya et al., 2014</xref>). This leads to cellular damage and inflammation, which contribute to diseases such as cardiovascular disorders (e.g., coronary artery disease, hypertension, and atherosclerosis), vascular diseases (e.g., rheumatoid arthritis and inflammatory bowel disease), neurodegenerative conditions (e.g., Alzheimer&#x2019;s and Parkinson&#x2019;s diseases), respiratory disorders (e.g., asthma, acute lung injury, and cystic fibrosis), and cancer (<xref ref-type="bibr" rid="B26">Madamanchi et al., 2005</xref>; <xref ref-type="bibr" rid="B28">Mat&#xe9;s et al., 2012</xref>; <xref ref-type="bibr" rid="B3">Bezerra et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Olufunmilayo et al., 2023</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Mitochondria in oxidative stress and diseases Created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">BioRender.com</ext-link>.</p>
</caption>
<graphic xlink:href="abp-72-14164-g001.tif"/>
</fig>
<p>Hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) is a widely used agent to experimentally induce oxidative damage in cell models due to its ability to generate hydroxyl radicals (&#x22C5;OH) via the Fenton reaction. It may also directly oxidize thiol groups in redox-sensitive proteins, leading to functional modifications. High H<sub>2</sub>O<sub>2</sub> concentrations (&#x3e;50&#xa0;&#xb5;M) are cytotoxic to most cell types, causing DNA strand breaks, nitrogen base alterations, and DNA-protein cross-links (<xref ref-type="bibr" rid="B21">Halliwell, Clement, and Long, 2000</xref>; <xref ref-type="bibr" rid="B23">Ko&#x142;odziej et al., 2018</xref>; <xref ref-type="bibr" rid="B33">Ransy et al., 2020</xref>). Elevated ROS levels also lead to mitochondrial DNA damage, chromosomal aberrations, and mutations, which promote the development of oxidative stress-related diseases (<xref ref-type="bibr" rid="B38">Singh et al., 2019</xref>).</p>
<p>To study the effects of oxidative stress, various assays are employed. For example, 2&#x2032;,7&#x2032;-dichlorodihydrofluorescein diacetate (DCF-DA) measures ROS levels, while SOD, CAT, and GPX assays assess antioxidant activity (<xref ref-type="bibr" rid="B45">Weydert and Cullen, 2010</xref>). Additionally, the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay evaluates cell viability by measuring mitochondrial activity. Metabolomics, a comprehensive tool for analyzing biochemical changes, is particularly effective in investigating oxidative stress-induced metabolic alterations (<xref ref-type="bibr" rid="B24">Liu et al., 2011</xref>; <xref ref-type="bibr" rid="B13">Deidda et al., 2018</xref>).</p>
<p>Studies on OS are typically conducted using <italic>in vitro</italic> models, where cell cultures provide a platform to investigate oxidative stress, cellular toxicity, and adaptive responses. These models also help identify compounds with therapeutic potential (<xref ref-type="bibr" rid="B16">Gille and Joenje, 1992</xref>; <xref ref-type="bibr" rid="B10">Chung et al., 2022</xref>). Cells exposed to pro-oxidant agents like menadione, potassium bromate, or hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) represent a gold standard model to examine diverse cellular responses, leading to various cellular reactions and pathways in response to oxidative stress induction (<xref ref-type="bibr" rid="B17">Goffart et al., 2021</xref>). This study examines the effects of H<sub>2</sub>O<sub>2</sub>-induced oxidative stress on human embryonic kidney (HEK-293) and African green monkey kidney (COS-7) cells. The kidney cells, being rich in mitochondria, are highly susceptible to oxidative stress, a key factor in kidney diseases&#x2014;a growing global health concern (<xref ref-type="bibr" rid="B11">Daenen et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Gyur&#xe1;szov&#xe1; et al., 2020</xref>). The primary aim is to identify specific metabolic changes linked to ROS-induced mitochondrial dysfunction, particularly those involving the tricarboxylic acid (TCA) cycle. By comparing the resilience of these two cell lines, this work provides novel insights into the biochemical alterations and adaptive responses to oxidative stress at the cellular level.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Material and methods</title>
<sec id="s2-1">
<title>Cell culture</title>
<p>The HEK-293 (human embryonic kidney cells; ECACC cat. no. 85120602) and COS-7 (fibroblast-like cell line derived from African green monkey kidney tissue; ECACC cat. no. 87021302) cell lines were cultured in Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium (DMEM, Sigma Aldrich, UK) supplemented with 10% fetal bovine serum (FBS, Biowest S181H-500) and 100&#xa0;&#x3bc;g/mL penicillin&#x2013;100&#xa0;&#x3bc;g/mL streptomycin, in a humidified incubator at 37&#xb0;C with 5% CO<sub>2</sub> and 95% humidity. The cells were maintained in 75&#xa0;cm<sup>2</sup> or 150&#xa0;cm<sup>2</sup> flasks, with the medium replaced twice a week. The cells were passaged twice to three times a week, and the culture was split once confluence reached 85%&#x2013;90%.</p>
</sec>
<sec id="s2-2">
<title>Oxidative stress induction</title>
<p>Oxidative stress was induced by treating cells with hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>, 30% H<sub>2</sub>O<sub>2</sub>, Sigma, EMSURE, cat. no. 1072090250) at various concentrations (100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 1&#xa0;mM, 3.19&#xa0;mM, 6.3&#xa0;mM, 12.3&#xa0;mM, and 37.8&#xa0;mM) for 30&#xa0;min (PBS buffer diluent; Sigma Aldrich, UK, P2272). For each experiment, cells were pre-incubated in 96-well plates (2.1 &#xd7; 10<sup>4</sup> cells/well for HEK-293, and 3.2 &#xd7;10<sup>4</sup> cells/well for COS-7) for 24&#xa0;h to allow cell adhesion (5% CO<sub>2</sub> and 95% humidity at 37&#xb0;C). After the incubation, H<sub>2</sub>O<sub>2</sub> was removed, and the cells were rinsed with phosphate-buffered saline (PBS) before subsequent assays.</p>
</sec>
<sec id="s2-3">
<title>Cell viability assay - MTT assay</title>
<p>Cells viability was determined using the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) colorimetric assay. After oxidative stress induction, HEK-293 and COS-7 cell lines were incubated with MTT solution (BioReagent, &#x3e;97.5%, Sigma Aldrich, UK) for 2&#xa0;h.The medium was removed and formazan crystals were dissolved in isopropanol (99.7%, PolAura, Poland) for 30&#xa0;min in the dark. Absorbance was measured at 570&#xa0;nm using a Victor2 microplate reader (Perkin Elmer). Cell viability was calculated as the ratio of the absorbance of treated samples to that of untreated control samples (control absorbance), expressed as a percentage. Cell viability was calculated as follows:<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:mi mathvariant="bold-italic">C</mml:mi>
<mml:mi mathvariant="bold-italic">e</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mi mathvariant="bold-italic">s</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="bold-italic">v</mml:mi>
<mml:mi mathvariant="bold-italic">i</mml:mi>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mi mathvariant="bold-italic">i</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mi mathvariant="bold-italic">i</mml:mi>
<mml:mi mathvariant="bold-italic">t</mml:mi>
<mml:mi mathvariant="bold-italic">y</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="bold-italic">s</mml:mi>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">m</mml:mi>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mi mathvariant="bold-italic">e</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mi mathvariant="bold-italic">s</mml:mi>
<mml:mi mathvariant="bold-italic">o</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mi mathvariant="bold-italic">c</mml:mi>
<mml:mi mathvariant="bold-italic">e</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">c</mml:mi>
<mml:mi mathvariant="bold-italic">o</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mi mathvariant="bold-italic">t</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
<mml:mi mathvariant="bold-italic">o</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mi mathvariant="bold-italic">s</mml:mi>
<mml:mi mathvariant="bold-italic">o</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mi mathvariant="bold-italic">c</mml:mi>
<mml:mi mathvariant="bold-italic">e</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
</sec>
<sec id="s2-4">
<title>Measurement of reactive oxygen species production - DCF-DA assay</title>
<p>Reactive oxygen species (ROS) production was assessed using the DCF-DA (2&#x2032;,7&#x2032;-dichlorodihydrofluorescein diacetate) assay. The DCF-DA (Sigma Aldrich, UK) solution was freshly prepared by dissolving DCF-DA in 100% ethanol and diluting it to a working concentration of 10&#xa0;&#xb5;M in the medium. After H<sub>2</sub>O<sub>2</sub> treatment, two cell lines were incubated with the DCF-DA solution for 1&#xa0;h under dark conditions. Fluorescence intensity, which correlates with intracellular ROS levels, was measured using a Victor2 microplate reader (excitation wavelength: 485&#xa0;nm; emission wavelength: 530&#xa0;nm). Results were expressed as fluorescence ratios (E/E<sub>0</sub>), where E represents the fluorescence intensity of the treated sample and E<sub>0</sub> represents the control.</p>
</sec>
<sec id="s2-5">
<title>Sample preparation and <sup>1</sup>H NMR measurement</title>
<p>For metabolomic analysis, cells were cultured in 75&#xa0;cm<sup>2</sup> flasks (HEK-293) and 150&#xa0;cm<sup>2</sup> flasks (COS-7) until reaching confluence (3.0 &#xd7; 10<sup>7</sup> HEK-293 cells or 8.0 &#xd7; 10<sup>6</sup> COS-7 cells). The difference in flask size and final cell numbers reflects the distinct morphology and growth characteristics of the two cell lines. HEK-293 cells proliferate more rapidly and are smaller in size, while COS-7 cells are larger and require greater surface area to reach comparable confluence. Cell harvesting was performed at &#x223c;90% confluence for both lines to ensure consistency in metabolic state. Following treatment with H<sub>2</sub>O<sub>2</sub> at the selected concentrations (100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM), the culture medium containing extracellular metabolites was carefully collected and stored on ice for further analysis. The cells were then rinsed with PBS to remove any residual medium. After that, the cells were placed on ice, and 3&#xa0;mL of cold methanol: water (3:1) was added twice. The samples with cells and methanol were stored at &#x2212;80&#xb0;C for further analysis.</p>
<p>For metabolomic analysis, six repeats of extracellular metabolites from each concentration and three repetitions of intracellular metabolites were performed. The samples containing cells and methanol were homogenized using a metal ball. The homogenization process was carried out twice for 5&#xa0;min at 50&#xa0;Hz, with a freezing period between each session. The homogenized samples were then centrifuged at 4&#xb0;C at 14.000 RPM for 10&#xa0;min. After centrifugation, the supernatant was collected and evaporated using a Speedvac at 500 RPM at 45&#xb0;C. Solutions containing extracellular metabolites were not homogenized. Following evaporation, 600&#xa0;&#xb5;L of cell buffer (1.107&#xa0;g NaH<sub>2</sub>PO<sub>4</sub>, 0.263&#xa0;g Na<sub>2</sub>HPO<sub>4</sub>, 0.005g TSP, 50&#xa0;mL D<sub>2</sub>O, 50&#xa0;mL H<sub>2</sub>O) was added to the precipitated samples. A final volume of 550&#xa0;&#xb5;L was transferred to NMR tubes.</p>
<p>
<sup>1</sup>H NMR spectra were acquired at an operating frequency of 600.58&#xa0;MHz on a BRUKER ULTRASHIELD&#x2122; PLUS AV2 spectrometer. The PULPROG sequence, cpmgpr1d, was used for analysis. The processing parameters were as follows: relaxation delay (RD) &#x3d; 3.5&#xa0;s, acquisition time &#x3d; 2.75&#xa0;s, total number of scans &#x3d; 128, mixing time &#x3d; 125&#xa0;ms, and time domain data points &#x3d; 64&#xa0;K. Spectra were manually phased using TopSpin 3.2 software (Bruker, GmbH, Germany). Baseline correction was performed using the Whittaker smoother algorithm in MestReNova software (MestReNova v. 11.0.3, Qingdao, China), and the spectra were referenced to the TSP resonance at 0.0&#xa0;ppm.</p>
</sec>
<sec id="s2-6">
<title>Data analysis and statistical methods</title>
<p>All <sup>1</sup>H NMR spectra were exported to MATLAB (R2014a, Natick, MA, United States) for preprocessing. The water region (4.65&#x2013;5.22&#xa0;ppm) was excluded from the analysis. The spectra were corrected for baseline and phase distortions, and referenced to the trimethylsilyl propanoic acid (TSP) signal at &#x3b4; 0.00 to assess changes in endogenous metabolites related to hydrogen peroxide toxicity. Resonance signal alignment was performed using the correlation-optimized warping (COW) and interval correlation shifting (icoshift) algorithms.</p>
<p>All spectra were normalized using Probabilistic Quotient Normalization (PQN), applied separately within each cell line group to account for differences in baseline signal intensity and cell number. For statistical analysis, data from 22 extracellular metabolites (HEK-293), 20 extracellular metabolites (COS-7), and 21 intracellular metabolites (HEK-293, COS-7) were considered. Metabolites were identified using Chenomx software (v 8.4, Chenomx Inc., Edmonton, Canada) and verified through the Human Metabolome Database<xref ref-type="fn" rid="fn1">
<sup>1</sup>
</xref> and published literature. For each metabolite, only one representative signal was used in the analysis, with NMR assignments detailed in <xref ref-type="sec" rid="s12">Supplementary Tables S1, S2</xref>. Univariate analysis was conducted using MATLAB, with the normality of data distributions assessed via the Shapiro-Wilk test. Depending on the normality results, statistical comparisons were performed using either Student&#x2019;s t-test (for parametric data) or the Mann-Whitney U test (for non-parametric data). A p-value &#x2264;0.05 was considered statistically significant.</p>
</sec>
<sec id="s2-7">
<title>Multivariate data analysis</title>
<p>For multivariate analysis, extracellular metabolites from HEK-293 (22 metabolites) and COS-7 (20 metabolites), as well as intracellular metabolites (HEK-293 and COS-7, 21 metabolites each), were analyzed. The data matrix was created from metabolite concentrations for each sample and transformed in SIMCA-P software (v 17.0, Umetrics, Ume&#xe5;, Sweden). Data were scaled using UV scaling before chemometric analysis. Principal Component Analysis (PCA) was applied to the data, and results with p &#x2264; 0.05 were considered statistically significant.</p>
</sec>
<sec id="s2-8">
<title>Statistical analysis of the result of biological activity assay</title>
<p>Statistical analysis of the biological activity assays was performed using the Dixon method for outlier detection. Results were assessed for statistical significance using Student&#x27;s t-test (for normally distributed data) or Mann-Whitney U test (for non-normally distributed data). A p-value &#x2264;0.05 was considered significant. The analysis was conducted using STATISTICA 13.3.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Biological activity tests</title>
<sec id="s3-1-1">
<title>Cytotoxicity of hydrogen peroxide in HEK-293 cells, and COS-7 cells</title>
<p>The cytotoxic effects of hydrogen peroxide were evaluated in both HEK-293 and COS-7 cell lines using the MTT and DCF-DA assays (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The range of tested concentrations included 100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 1&#xa0;mM, 3.19&#xa0;mM, 6.3&#xa0;mM, 12.3&#xa0;mM, and 37.8&#xa0;mM. The orange bars indicate the concentrations selected for metabolomic profiling: 100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Effect of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) concentration on HEK-293 and COS-7 cell viability and intracellular ROS levels. Orange bars indicate the H<sub>2</sub>O<sub>2</sub> concentrations selected for metabolomic profiling. The black solid line represents the control, normalized to 100% viability or fluorescence. Statistically significant differences (p &#x2264; 0.05) are marked with an asterisk (&#x2a;). <bold>(A)</bold> Viability of HEK-293 cells (left) measured by the MTT assay and intracellular ROS levels (right) measured by the DCF-DA assay after 30-min incubation with increasing concentrations of H<sub>2</sub>O<sub>2</sub>. <bold>(B)</bold> Viability of COS-7 cells (left) and ROS levels (right) assessed under the same experimental conditions.</p>
</caption>
<graphic xlink:href="abp-72-14164-g002.tif"/>
</fig>
<p>In HEK-293 cells, viability began to decline at concentrations &#x2265;0.1 mM, indicating the onset of oxidative stress. According to <xref ref-type="bibr" rid="B6">Bian et al. (2015)</xref>, an IC<sub>50</sub> of approximately 0.96&#xa0;mM (after 2&#xa0;h of exposure) confirmed the susceptibility of this cell line to H<sub>2</sub>O<sub>2</sub> induced damage, supporting its use as a model for studying early oxidative stress responses (<xref ref-type="bibr" rid="B6">Bian et al., 2015</xref>).</p>
<p>In contrast, the COS-7 cell line exhibited lower sensitivity, for instance, incubation of COS-7 cells with H<sub>2</sub>O<sub>2</sub> at 200&#xa0;&#x3bc;M for 24&#xa0;h resulted in 83.2% viability, while at 400&#xa0;&#x3bc;M, at the same time viability decreased to 67.2% (<xref ref-type="bibr" rid="B48">Yoon et al., 2016</xref>).</p>
<p>In the present study, both cell lines exhibited a dose-dependent decrease in viability and a corresponding increase in intracellular ROS production (measured by DCF-DA fluorescence). However, COS-7 cells maintained higher viability compared to HEK-293 (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). At 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub>, HEK-293 cells showed a more pronounced reduction in viability (&#x223c;89%) compared to COS-7 (&#x223c;95%).</p>
</sec>
<sec id="s3-1-2">
<title>Reactive oxygen species induced by hydrogen peroxide</title>
<p>The generation of reactive oxygen species (ROS) in HEK-293 and COS-7 cells following 30-min incubation with hydrogen peroxide was assessed using the DCF-DA fluorescence assay (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). As shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, the lowest tested concentrations (100&#xa0;nM and 1&#xa0;&#x3bc;M) did not induce a significant increase in ROS levels in either cell line, when compared to the control. However, exposure to 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub> in HEK-293 cells resulted in a statistically significant rise in fluorescence intensity, indicating increased intracellular ROS production. In contrast, COS-7 cells showed a more gradual increase in ROS levels, with statistically significant changes observed at higher concentrations. Thus, this concentration led to a modest increase in ROS levels in both lines, with fluorescence rising to &#x223c;116% in HEK-293 and &#x223c;103% in COS-7 (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>).</p>
</sec>
</sec>
<sec id="s3-2">
<title>Metabolomics analysis</title>
<sec id="s3-2-1">
<title>Analysis of intracellular metabolism for HEK-293 and COS-7 cell lines</title>
<p>Representative signals for each metabolite in both the control and 3.19&#xa0;mM hydrogen peroxide-treated samples for HEK-293 and COS-7 cell lines, along with their <sup>1</sup>H NMR spectra, are presented in the <xref ref-type="sec" rid="s12">Supplementary Material</xref> (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>; <xref ref-type="sec" rid="s12">Supplementary Figures S1A,B</xref>
<italic>)</italic>. A total of 23 intracellular metabolites were identified. Due to the overlapping of some signals from some intracellular metabolites - creatine phosphate/creatine at 3.02&#xa0;ppm, and AXP (ATP/ADP/AMP) at 8.26&#xa0;ppm, were not included in the statistical and multivariate analyses <xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>. Additionally, the signal originating from methanol (used as a solvent for extraction) was also excluded from the analyses. Multivariate data analysis was performed to identify patterns and trends among the compared samples. The analysis utilized Principal Component Analysis (PCA), a classic unsupervised method were employed for: projection, visualization, and trend identification, as well as the detection of outliers in trials. The analysis results are depicted in <xref ref-type="fig" rid="F3">Figures 3A,B</xref>. <xref ref-type="sec" rid="s12">Supplementary Tables S3, S4</xref> outline the parameters of the PCA models for HEK-293 and COS-7 cell lines, demonstrating highly effective sample clustering.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>PCA score plot of <sup>1</sup>H NMR data obtained from comparison of groups controls with: 100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM for cell lines. <bold>(A)</bold> for HEK-293 cell line. <bold>(B)</bold> for COS-7 cell line.</p>
</caption>
<graphic xlink:href="abp-72-14164-g003.tif"/>
</fig>
<p>
<xref ref-type="sec" rid="s12">Supplementary Tables S5, S6</xref> compare the relative concentrations of metabolites in controls and samples incubated at different concentrations of hydrogen peroxide. The metabolomic differences induced by the highest concentration of hydrogen peroxide and the concentration triggering oxidative stress in HEK-293 and COS-7 cell lines are illustrated in <xref ref-type="fig" rid="F4">Figures 4A,B</xref>. Common changes in metabolites were observed in both investigated cell lines with increasing relative concentrations of adenosine monophosphate (AMP) and decreasing concentrations of adenosine-5&#x2032;-triphosphate/adenosine-5&#x2032;-diphosphate (ATP/ADP &#x2013; overlapped signals), nicotinamide adenine dinucleotide oxidized (NAD<sup>&#x2b;</sup>), glutamate, glutathione, and pyruvate.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Relative concentrations of intracellular metabolites showing statistically significant differences between the control and treatment groups exposed to increasing concentrations of hydrogen peroxide (0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM). <bold>(A)</bold> Statistically significant changes in metabolite levels in the HEK-293 cell line. <bold>(B)</bold> Statistically significant changes in metabolite levels in the COS-7 cell line. Significant differences are indicated as follows: &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001. Note: &#x201c;ATP/ADP&#x201d; represents a partially overlapping NMR signal region that includes both ATP and ADP resonances, which cannot be unambiguously separated due to limited spectral resolution.</p>
</caption>
<graphic xlink:href="abp-72-14164-g004.tif"/>
</fig>
<p>Additionally, in the COS-7 cell line, compared to the control without H<sub>2</sub>O<sub>2</sub>, statistically significant decreases in the relative concentrations of aspartate and creatine were observed, along with an increase in formate, isoleucine, and valine (<xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
</sec>
<sec id="s3-2-2">
<title>Analysis of extracellular metabolism for HEK-293 cell lines and COS-7 cell lines</title>
<p>
<xref ref-type="sec" rid="s12">Supplementary Figures S1, S2</xref> show the <sup>1</sup>H NMR spectra of HEK-293 cells incubated without H<sub>2</sub>O<sub>2</sub> (control) and with 3.19&#xa0;mM H<sub>2</sub>O<sub>2</sub>. Twenty metabolites were identified in the control samples (<xref ref-type="sec" rid="s12">Supplementary Figure S3</xref>), while 25 were observed in H<sub>2</sub>O<sub>2</sub>-treated samples (<xref ref-type="sec" rid="s12">Supplementary Figure S2</xref>). Additional signals of metabolites detected in the treated samples included unknown_1 (8.34&#xa0;ppm), unknown_2 (8.27&#xa0;ppm), unknown_3 (2.7&#xa0;ppm), creatine phosphate/creatine (excluded from analysis) and hypoxanthine. From the spectra the same signals were excluded from analyses as for intracellular metabolites. Representative signals for each metabolite, both in control and 3.19&#xa0;mM H<sub>2</sub>O<sub>2</sub> treated cell line samples, are listed in <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>.</p>
<p>Similarly, <xref ref-type="sec" rid="s12">Supplementary Figures S4, S5</xref> illustrate the spectra of COS-7 cells incubated with and without H<sub>2</sub>O<sub>2</sub>. Control samples (<xref ref-type="sec" rid="s12">Supplementary Figure S5</xref>) revealed 19 metabolites, while H<sub>2</sub>O<sub>2</sub>-treated samples (<xref ref-type="sec" rid="s12">Supplementary Figure S4</xref>) showed 23 metabolites, including unknown_1 (8.34&#xa0;ppm), unknown_2 (8.27&#xa0;ppm), unknown_3 (2.7&#xa0;ppm), and creatine phosphate/creatine (excluded from analysis). Metabolite signals for both control and treated COS-7 samples are also detailed in <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>.</p>
<p>Principal Component Analysis (PCA) was conducted to compare sample differentiation depending on hydrogen peroxide concentrations in both cell lines, including controls and treatments with 100&#xa0;nM, 1&#xa0;&#x3bc;M, 0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM H<sub>2</sub>O<sub>2</sub>. Results for HEK-293 and COS-7 cell lines are summarized in <xref ref-type="sec" rid="s12">Supplementary Tables S7, S8</xref>. In HEK-293 cells, PCA revealed clear grouping trends (<xref ref-type="fig" rid="F5">Figure 5A</xref>), particularly at concentrations &#x2265;0.1&#xa0;mM. Similar clustering patterns were observed in COS-7 cells at H<sub>2</sub>O<sub>2</sub> concentrations of 0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM (<xref ref-type="fig" rid="F5">Figure 5B</xref>), with no grouping evident between control and low-concentration treatments (100&#xa0;nM and 1&#xa0;&#x3bc;M).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>PCA score plot of <sup>1</sup>H NMR data obtained from comparison of groups controls with various concentrations of H<sub>2</sub>O<sub>2</sub> for different cell lines. <bold>(A)</bold> for HEK-293 cell line. <bold>(B)</bold> for COS-7 cell line.</p>
</caption>
<graphic xlink:href="abp-72-14164-g005.tif"/>
</fig>
<p>
<xref ref-type="sec" rid="s12">Supplementary Table S9</xref> (HEK-293 cell lines) and S10 (COS-7 cell line) present a comparison of the relative concentrations of metabolites in controls and samples incubated at different concentrations of H<sub>2</sub>O<sub>2</sub>. The metabolomic differences between the highest concentration of H<sub>2</sub>O<sub>2</sub> and the induced oxidative stress concentration (0.1&#xa0;mM) for HEK-293 and COS-7 cell lines are illustrated in <xref ref-type="fig" rid="F6">Figures 6A,B</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Relative concentrations of extracellular metabolites showing statistically significant differences between the control and treatment groups exposed to increasing concentrations of hydrogen peroxide (0.1&#xa0;mM, 3.19&#xa0;mM, and 37.8&#xa0;mM). <bold>(A)</bold> Statistically significant changes in metabolite levels in the HEK-293 cell line. <bold>(B)</bold> Statistically significant changes in metabolite levels in the COS-7 cell line. Significant differences are indicated as follows: &#x2a;p &#x2264; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="abp-72-14164-g006.tif"/>
</fig>
<p>Upon comparing control samples in the HEK-293 cell line with these incubated in a 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub> solution, statistically significant differences in the levels of several metabolites were identified, including glutamate, acetate, pyroglutamine, glutamine, 3-hydroxybutyrate, lactate, and unknown_1. At the highest H<sub>2</sub>O<sub>2</sub> concentrations, additional significant changes were observed in pyruvate, unknown_3, unknown_2, formate, and hypoxanthine (<xref ref-type="fig" rid="F6">Figure 6A</xref>).</p>
<p>In the COS-7 cell line, statistically significant alterations in metabolite levels&#x2014;including isoleucine, unknown_3, and unknown_1 &#x2014; were detected following incubation with a 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub> solution, compared to control samples. Additionally, significant metabolite changes were observed upon treatment with higher concentrations of H<sub>2</sub>O<sub>2</sub> (3.19 mM and 37.8&#xa0;mM) in comparison to controls. These included an increase in the relative concentrations of glutamate, acetate, unknown_2, unknown_3, and unknown_1, and a decrease in glutamine, lactate, and isoleucine (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The biological impact of hydrogen peroxide exposure was first confirmed through MTT and DCF-DA assays, which revealed clear, concentration-dependent responses in both HEK-293 and COS-7 cell lines. A gradual reduction in cell viability was observed starting from 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub>, while ROS production measured by DCF-DA fluorescence, increased significantly at the same threshold, especially in HEK-293 cells. These results indicate that even short-term exposure (30&#xa0;min) to moderate concentrations of hydrogen peroxide is sufficient to trigger oxidative stress. Notably, COS-7 cells retained higher viability and exhibited a more moderate increase in ROS levels, suggesting greater oxidative resilience. These findings provided a basis for the metabolomic analysis, shedding light on how cells adapt to oxidative stress and which processes are most affected. Concentrations of 100&#xa0;nM and 1&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> did not elicit notable changes in the metabolite profiles of HEK-293 and COS-7 cells. However, significant metabolic shifts were detected starting at 0.1&#xa0;mM hydrogen peroxide. The relatively short incubation time was chosen to capture the early-phase metabolic response to oxidative stress, consistent with previous reports indicating that exposure to a single, concentrated dose of H<sub>2</sub>O<sub>2</sub> is sufficient to induce a measurable oxidative stress response (<xref ref-type="bibr" rid="B16">Gille and Joenje, 1992</xref>; <xref ref-type="bibr" rid="B46">Wiese et al., 1995</xref>; <xref ref-type="bibr" rid="B12">Deferme et al., 2013</xref>).</p>
<p>Both cell lines at a higher concentration of H<sub>2</sub>O<sub>2</sub> demonstrated a decrease in key intracellular metabolites critical for energy metabolism, including glutathione (GSH), glutamate, NAD<sup>&#x2b;</sup>, ATP/ADP, and pyruvate, alongside an increase in AMP levels. Under physiological conditions, NAD<sup>&#x2b;</sup> is involved in pyruvate conversion to acetyl-CoA and the electron transport chain (ETC.) function via NADH generation. Oxidative stress may disrupt this process by impairing key TCA cycle enzymes, such as isocitrate dehydrogenase and &#x3b1;-ketoglutarate dehydrogenase (&#x3b1;-KGDH), thereby reducing NADH production and ATP turnover (<xref ref-type="bibr" rid="B43">Tretter and Adam-Vizi, 2000</xref>; <xref ref-type="bibr" rid="B18">Gray, Tompkins, and Taylor, 2014</xref>). The observed decrease in pyruvate suggests disruption of glycolysis and possible oxidative damage to cells (<xref ref-type="bibr" rid="B18">Gray, Tompkins, and Taylor, 2014</xref>). Additionally, during oxidative stress, an increase in AMP was observed in both cell lines. Increased intracellular AMP levels indicate an energy-deprived state (<xref ref-type="bibr" rid="B9">Choi et al., 2001</xref>; <xref ref-type="bibr" rid="B22">Hawley et al., 2010</xref>; <xref ref-type="bibr" rid="B2">Auciello et al., 2014</xref>).</p>
<p>Focusing on the HEK-293 cell line, oxidative stress induced profound intracellular metabolic collapse. An increased intracellular GSH at 0.1&#xa0;mM H<sub>2</sub>O<sub>2</sub> indicates an early defense mechanism against OS. However, at higher concentrations, GSH depletion occurred, evidenced by elevated extracellular pyroglutamine levels, a marker of oxidative stress and GSH depletion (<xref ref-type="bibr" rid="B15">Gamarra et al., 2019</xref>). The crucial role of glutathione tripeptide (GSH) in protecting cells from oxidative stress is evident, as it acts as a free radical scavenger (<xref ref-type="bibr" rid="B42">Townsend et al., 2003</xref>). Glutamate, synthesized from glutamine, plays a vital role in GSH biosynthesis and mitochondrial function (<xref ref-type="bibr" rid="B36">Sappington et al., 2016</xref>). Therefore, OS-induced reductions in glutamate levels likely reflect mitochondrial impairment (<xref ref-type="bibr" rid="B40">Straadt et al., 2010</xref>).</p>
<p>In COS-7 cells increases in formate, isoleucine, and valine levels were observed, accompanied by a decrease in creatine and aspartate concentration. These changes suggest metabolic reprogramming to support energy production and mitochondrial resilience. Increased levels of branched-chain amino acids (BCAAs), such as isoleucine and valine, which enter the TCA cycle via intermediates like propionyl-CoA, acetyl-CoA, and succinyl-CoA, may reflect adaptations to maintain ATP production under oxidative conditions (<xref ref-type="bibr" rid="B4">Bhagavan and Ha, 2015</xref>; <xref ref-type="bibr" rid="B47">Wu et al., 2022</xref>). These changes are consistent with activation of mTOR signaling pathways in response to oxidative stress (<xref ref-type="bibr" rid="B7">Bonvini et al., 2018</xref>). Reduced aspartate levels may be also explained by mitochondrial impairment and disturbances in the TCA cycle or associated biosynthetic routes (<xref ref-type="bibr" rid="B40">Straadt et al., 2010</xref>). A decreasing trend in aspartate was also noted in HEK-293 cells, approaching statistical significance. Elevated formate in COS-7 cells may support nucleotide biosynthesis and oxidative stress mitigation through effects on tetrahydrofolate metabolism, although the exact mechanism remains to be clarified (<xref ref-type="bibr" rid="B30">Oizel et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Pietzke et al., 2020</xref>).</p>
<p>Significant alterations were also observed in extracellular metabolites, including pyruvate, acetate, glutamine, glutamate, lactate, and unidentified compounds (unknown_1&#x2013;3). Both cell lines exhibited elevated extracellular acetate levels, which could indicate enhanced <italic>de novo</italic> synthesis aimed at preserving intracellular acetyl-CoA pool during oxidative stress (<xref ref-type="bibr" rid="B8">Bose, Ramesh, and Locasale, 2019</xref>). As a key intermediate in central metabolism, acetate contributes to acetyl-CoA generation and provides an alternative carbon source under nutrient-limited conditions (<xref ref-type="bibr" rid="B25">Liu et al., 2018</xref>). A shared characteristic was the elevated extracellular pyruvate concentration observed in both COS-7 and HEK-293 cell lines, with a statistically significant increase detected in COS-7 cells at 37.8&#xa0;mM H<sub>2</sub>O<sub>2</sub> compared to HEK-293 cells at 3.19&#xa0;mM. Increased extracellular pyruvate is more likely indicative of intracellular efflux due to membrane damage. Additionally, another extracellular metabolite of statistical significance is glutamine, which exhibited a decrease in extracellular medium concentration in both cell lines. It&#x2019;s worth noting that glutamine serves as a precursor for glutamate, a key component in the biosynthesis of glutathione (<xref ref-type="bibr" rid="B27">Mat&#xe9;s et al., 2002</xref>). As intracellular glutamine levels decrease, there is a corresponding increase in extracellular glutamate, which might result in a lower concentration of intracellular GSH. Furthermore, extracellular lactate levels showed statistically significant changes in both COS-7 and HEK-293 cell lines compared to the control. In HEK-293 cells, a decrease in lactate was observed at most concentrations, except for the highest H<sub>2</sub>O<sub>2</sub> concentration (37.8&#xa0;mM), where an increase occurred. In COS-7 cells, a statistically significant decrease in extracellular lactate was noted only at 37.8&#xa0;mM H<sub>2</sub>O<sub>2</sub>.</p>
<p>HEK-293 cells displayed additional significant changes, including increased extracellular pyroglutamine, hypoxanthine, 3-hydroxybutyrate (BHB), and formate. Formate and hypoxanthine accumulation may reflect mitochondrial dysfunction and chemical damage caused by oxidative stress, potentially resulting in membrane rupture and the release of intracellular contents. Hypoxanthine is routinely evaluated as a marker for OS due to its association with mitochondrial dysfunctions (<xref ref-type="bibr" rid="B35">Makowski, 2021</xref>). Elevated BHB suggests an antioxidant response aimed at mitigating oxidative damage and supporting cellular protection (<xref ref-type="bibr" rid="B20">Haces et al., 2008</xref>; <xref ref-type="bibr" rid="B34">Rojas-Morales et al., 2020</xref>).</p>
<p>In general, the HEK-293 cell line displayed greater vulnerability to oxidative stress. As mentioned earlier, <xref ref-type="bibr" rid="B6">Bian et al. (2015)</xref> observed significant oxidative damage in HEK-293 cells, with an IC<sub>50</sub> of approximately 0.96&#xa0;mM following a 2-h exposure to H<sub>2</sub>O<sub>2</sub>. This study confirms the high sensitivity of HEK-293 cells to oxidative stress. In our study, significant metabolic changes and viability reduction were already evident at similar concentrations following a much shorter 30-min exposure, suggesting an early and rapid onset of oxidative stress responses. GSH depletion, alongside elevated extracellular pyroglutamine, hypoxanthine, and BHB, highlights the sensitivity of HEK-293 cells to oxidative damage. Moreover, HEK-293 cells showed increased extracellular formate and hypoxanthine levels, reflecting mitochondrial dysfunction and disruptions in purine metabolism caused by oxidative stress (<xref ref-type="bibr" rid="B30">Oizel et al., 2020</xref>).</p>
<p>Our findings suggest that COS-7 cells, derived from monkey kidney tissue, may exhibit a more stable metabolic profile under oxidative stress conditions. These cells showed smaller reductions in pyruvate, elevated formate levels, and increased BCAAs, reflecting early metabolic adaptations to oxidative challenges. This observation aligns with previous studies, such as <xref ref-type="bibr" rid="B48">Yoon et al. (2016)</xref>, which reported COS-7 cells maintaining 83.8% viability at 100&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> and 68% at 400&#xa0;&#x3bc;M after 24&#xa0;h. <xref ref-type="fig" rid="F7">Figure 7</xref> summarizes statistically significant changes in intracellular metabolite levels observed during oxidative stress.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Metabolomic changes during oxidative stress Created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">BioRender.com</ext-link>.</p>
</caption>
<graphic xlink:href="abp-72-14164-g007.tif"/>
</fig>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>This study demonstrates the utility of metabolomics in uncovering early cellular responses to oxidative stress induced by hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). Concentration-dependent metabolic changes were observed, including disruptions in mitochondrial function, the TCA cycle, and amino acid metabolism, accompanied by reductions in GSH and other energy-related metabolites such as ATP/ADP, and AMP &#x2013; key molecules involved in cellular energy transfer. HEK-293 cells showed changes consistent with a higher susceptibility to oxidative stress, including GSH depletion, elevated oxidative stress markers, and altered purine metabolism. In contrast COS-7 cells exhibited metabolic changes that may reflect an adaptive response, including increases in branched-chain amino acids (BCAAs) and formate, which are associated with mitochondrial support and purine metabolism. These metabolic observations were in line with the results of the MTT and DCF-DA assays, which confirmed reduced viability and increased ROS levels in HEK-293 cells, and a relatively more stable redox status in COS-7 cells.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. Ethical approval was not required for the studies on animals in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>MS-N, performed the experiments; analyzed and interpreted the data; wrote the paper; conducted biological activity assay, and NMR analysis; data collection; KS, conducted cell culture; collected samples for NMR analysis, and review; KG, review and editing. EB, review; supervision; PM, results analysis; review; supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>We are grateful to Dominika Ksiazek and Wiktoria Martyniak for their assistance with preliminary cell culture.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research 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="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. ChatGPT only checked for linguistic correctness.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontierspartnerships.org/articles/10.3389/abp.2025.14164/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/abp.2025.14164/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="fn1">
<label>1</label>
<p>
<ext-link ext-link-type="uri" xlink:href="http://www.hmdb.ca">www.hmdb.ca</ext-link>
</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aseervatham</surname>
<given-names>G. S.</given-names>
</name>
<name>
<surname>Sivasudha</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Jeyadevi</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Arul Ananth</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Environmental factors and unhealthy lifestyle influence oxidative stress in humans&#x2014;an overview</article-title>. <source>Environ. Sci. Pollut. Res.</source> <volume>20</volume> (<issue>7</issue>), <fpage>4356</fpage>&#x2013;<lpage>4369</lpage>. <pub-id pub-id-type="doi">10.1007/s11356-013-1748-0</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Auciello</surname>
<given-names>F. R.</given-names>
</name>
<name>
<surname>Ross</surname>
<given-names>F. A.</given-names>
</name>
<name>
<surname>Ikematsu</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Hardie</surname>
<given-names>D. G.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Oxidative stress activates AMPK in cultured cells primarily by increasing cellular AMP and/or ADP</article-title>. <source>FEBS Lett.</source> <volume>588</volume> (<issue>18</issue>), <fpage>3361</fpage>&#x2013;<lpage>3366</lpage>. <pub-id pub-id-type="doi">10.1016/j.febslet.2014.07.025</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bezerra</surname>
<given-names>F. S.</given-names>
</name>
<name>
<surname>Lanzetti</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Nesi</surname>
<given-names>R. T.</given-names>
</name>
<name>
<surname>Nagato</surname>
<given-names>A. C.</given-names>
</name>
<name>
<surname>Silva</surname>
<given-names>C. P.</given-names>
</name>
<name>
<surname>Kennedy-Feitosa</surname>
<given-names>E.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Oxidative stress and inflammation in acute and chronic lung injuries</article-title>. <source>Antioxidants</source> <volume>12</volume>, <fpage>548</fpage>. <pub-id pub-id-type="doi">10.3390/antiox12030548</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bhagavan</surname>
<given-names>N. V.</given-names>
</name>
<name>
<surname>Ha</surname>
<given-names>C. E.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Protein and amino acid metabolism</article-title>. <source>Essentials Med. Biochem.</source> <volume>15</volume>, <fpage>227</fpage>&#x2013;<lpage>268</lpage>. <pub-id pub-id-type="doi">10.1016/b978-0-12-416687-5.00015-4</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bhattacharyya</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Chattopadhyay</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Mitra</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Crowe</surname>
<given-names>S. E.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Oxidative stress: an essential factor in the pathogenesis of gastrointestinal mucosal diseases</article-title>. <source>Physiol. Rev.</source> <volume>94</volume>, <fpage>329</fpage>&#x2013;<lpage>354</lpage>. <pub-id pub-id-type="doi">10.1152/physrev.00040.2012</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bian</surname>
<given-names>Y. Y.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Majeed</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>K. X.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>X. N.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>W.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Ferulic acid renders protection to HEK293 cells against oxidative damage and apoptosis induced by hydrogen peroxide</article-title>. <source>vitro Cell. and Dev. Biol. Animal</source> <volume>51</volume> (<issue>7</issue>), <fpage>722</fpage>&#x2013;<lpage>729</lpage>. <pub-id pub-id-type="doi">10.1007/s11626-015-9876-0</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bonvini</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Coqueiro</surname>
<given-names>A. Y.</given-names>
</name>
<name>
<surname>Tirapegui</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Calder</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Rogero</surname>
<given-names>M. M.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Immunomodulatory role of branched-chain amino acids</article-title>. <source>Nutr. Rev.</source> <volume>76</volume> (<issue>11</issue>), <fpage>840</fpage>&#x2013;<lpage>856</lpage>. <pub-id pub-id-type="doi">10.1093/nutrit/nuy037</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bose</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ramesh</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Locasale</surname>
<given-names>J. W.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Acetate metabolism in physiology, cancer, and beyond</article-title>. <source>Trends Cell Biol.</source> <volume>29</volume> (<issue>9</issue>), <fpage>695</fpage>&#x2013;<lpage>703</lpage>. <pub-id pub-id-type="doi">10.1016/j.tcb.2019.05.005</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Choi</surname>
<given-names>S. L.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>S. J.</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>K. T.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Mu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Birnbaum</surname>
<given-names>M. J.</given-names>
</name>
<etal/>
</person-group> (<year>2001</year>). <article-title>The regulation of AMP-activated protein kinase by H<sub>2</sub>O<sub>2</sub>
</article-title>. <source>Biochem. Biophysical Res. Commun.</source> <volume>287</volume> (<issue>1</issue>), <fpage>92</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1006/bbrc.2001.5544</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chung</surname>
<given-names>T. D.</given-names>
</name>
<name>
<surname>Linville</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Ye</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Jha</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Grifno</surname>
<given-names>G. N.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Effects of acute and chronic oxidative stress on the blood&#x2013;brain barrier in 2D and 3D <italic>in vitro</italic> models</article-title>. <source>Fluids Barriers CNS</source> <volume>19</volume> (<issue>1</issue>), <fpage>33</fpage>. <pub-id pub-id-type="doi">10.1186/s12987-022-00327-x</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Daenen</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Andries</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Mekahli</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Van Schepdael</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Jouret</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Bammens</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Oxidative stress in chronic kidney disease</article-title>. <source>Pediatr. Nephrol.</source> <volume>34</volume>, <fpage>975</fpage>&#x2013;<lpage>991</lpage>. <pub-id pub-id-type="doi">10.1007/s00467-018-4005-4</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deferme</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Bried&#xe9;</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Claessen</surname>
<given-names>S. M. H.</given-names>
</name>
<name>
<surname>Jennen</surname>
<given-names>D. G. J.</given-names>
</name>
<name>
<surname>Cavill</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Kleinjans</surname>
<given-names>J. C. S.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Time series analysis of oxidative stress response patterns in HepG2: A toxicogenomics approach</article-title>. <source>Toxicology</source> <volume>306</volume>, <fpage>24</fpage>&#x2013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.1016/j.tox.2013.02.001</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deidda</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Noto</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Bassareo</surname>
<given-names>P. P.</given-names>
</name>
<name>
<surname>Cadeddu Dessalvi</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Mercuro</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Metabolomic approach to redox and nitrosative reactions in cardiovascular diseases</article-title>. <source>Front. Physiology</source> <volume>9</volume>, <fpage>672</fpage>. <pub-id pub-id-type="doi">10.3389/fphys.2018.00672</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>&#x10e;ura&#x10d;kov&#xe1;</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Some current insights into oxidative stress</article-title>. <source>Physiological Res.</source> <volume>59</volume>, <fpage>459</fpage>&#x2013;<lpage>469</lpage>. <pub-id pub-id-type="doi">10.33549/physiolres.931844</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gamarra</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Santiago</surname>
<given-names>F. C.</given-names>
</name>
<name>
<surname>Molina-L&#xf3;pez</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Casta&#xf1;o</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Herrera-Quintana</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Dom&#xed;nguez</surname>
<given-names>&#xc1;.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Pyroglutamic acidosis by glutathione regeneration blockage in critical patients with septic shock</article-title>. <source>Crit. Care</source> <volume>23</volume> (<issue>1</issue>), <fpage>162</fpage>. <pub-id pub-id-type="doi">10.1186/s13054-019-2450-5</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gille</surname>
<given-names>J. J. P.</given-names>
</name>
<name>
<surname>Joenje</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>1992</year>). <article-title>Cell culture models for oxidative stress: superoxide and hydrogen peroxide versus normobaric hyperoxia</article-title>. <source>Mutat. Research/DNAging</source> <volume>275</volume> (<issue>3&#x2013;6</issue>), <fpage>405</fpage>&#x2013;<lpage>414</lpage>. <pub-id pub-id-type="doi">10.1016/0921-8734(92)90043-o</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goffart</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Tikkanen</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Michell</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Wilson</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Pohjoism&#xe4;ki</surname>
<given-names>J. L. O.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The type and source of reactive oxygen species influences the outcome of oxidative stress in cultured cells</article-title>. <source>Cells</source> <volume>10</volume> (<issue>5</issue>), <fpage>1075</fpage>. <pub-id pub-id-type="doi">10.3390/cells10051075</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gray</surname>
<given-names>L. R.</given-names>
</name>
<name>
<surname>Tompkins</surname>
<given-names>S. C.</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>E. B.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Regulation of pyruvate metabolism and human disease</article-title>. <source>Cell. Mol. Life Sci.</source> <volume>71</volume> (<issue>14</issue>), <fpage>2577</fpage>&#x2013;<lpage>2604</lpage>. <pub-id pub-id-type="doi">10.1007/s00018-013-1539-2</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gyur&#xe1;szov&#xe1;</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Gureck&#xe1;</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>B&#xe1;b&#xed;&#x10d;kov&#xe1;</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>T&#xf3;thov&#xe1;</surname>
<given-names>&#x13d;.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Oxidative stress in the pathophysiology of kidney disease: implications for noninvasive monitoring and identification of biomarkers</article-title>. <source>Oxidative Med. Cell. Longev.</source> <volume>2020</volume>, <fpage>5478708</fpage>. <pub-id pub-id-type="doi">10.1155/2020/5478708</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Haces</surname>
<given-names>M. L.</given-names>
</name>
<name>
<surname>Hern&#xe1;ndez-Fonseca</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Medina-Campos</surname>
<given-names>O. N.</given-names>
</name>
<name>
<surname>Montiel</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Pedraza-Chaverri</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Massieu</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Antioxidant capacity contributes to protection of ketone bodies against oxidative damage induced during hypoglycemic conditions</article-title>. <source>Exp. Neurol.</source> <volume>211</volume> (<issue>1</issue>), <fpage>85</fpage>&#x2013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1016/j.expneurol.2007.12.029</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Halliwell</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Clement</surname>
<given-names>M. V.</given-names>
</name>
<name>
<surname>Long</surname>
<given-names>L. H.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Hydrogen peroxide in the human body</article-title>. <source>FEBS Lett.</source> <volume>486</volume> (<issue>1</issue>), <fpage>10</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1016/S0014-5793(00)02197-9</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hawley</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Ross</surname>
<given-names>F. A.</given-names>
</name>
<name>
<surname>Chevtzoff</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Green</surname>
<given-names>K. A.</given-names>
</name>
<name>
<surname>Evans</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Fogarty</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2010</year>). <article-title>Use of cells expressing &#x3b3; subunit variants to identify diverse mechanisms of AMPK activation</article-title>. <source>Cell Metab.</source> <volume>11</volume> (<issue>6</issue>), <fpage>554</fpage>&#x2013;<lpage>565</lpage>. <pub-id pub-id-type="doi">10.1016/j.cmet.2010.04.001</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ko&#x0142;odziej</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Stryjecka</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Radecka</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Oxidative stress &#x2013; repair systems of oxidatively damaged biomolecules</article-title>. <source>Prog. Health Sci.</source> <volume>8</volume> (<issue>1</issue>), <fpage>145</fpage>&#x2013;<lpage>154</lpage>. <pub-id pub-id-type="doi">10.5604/01.3001.0012.1118</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Litt</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Segal</surname>
<given-names>M. R.</given-names>
</name>
<name>
<surname>Kelly</surname>
<given-names>M. J. S.</given-names>
</name>
<name>
<surname>Pelton</surname>
<given-names>J. G.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Metabolomics of oxidative stress in recent studies of Endogenous and exogenously administered intermediate metabolites</article-title>. <source>Int. J. Mol. Sci.</source> <volume>12</volume>, <fpage>6469</fpage>&#x2013;<lpage>6501</lpage>. <pub-id pub-id-type="doi">10.3390/ijms12106469</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Cooper</surname>
<given-names>D. E.</given-names>
</name>
<name>
<surname>Cluntun</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Warmoes</surname>
<given-names>M. O.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Reid</surname>
<given-names>M. A.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Acetate production from glucose and coupling to mitochondrial metabolism in mammals</article-title>. <source>Cell</source> <volume>175</volume> (<issue>2</issue>), <fpage>502</fpage>&#x2013;<lpage>513.e13</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2018.08.040</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Madamanchi</surname>
<given-names>N. R.</given-names>
</name>
<name>
<surname>Vendrov</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Runge</surname>
<given-names>M. S.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Oxidative stress and vascular disease</article-title>. <source>Arteriosclerosis, Thrombosis, Vasc. Biol.</source> <volume>25</volume>, <fpage>29</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1161/01.ATV.0000150649.39934.13</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mat&#xe9;s</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>P&#xe9;rez-G&#xf3;mez</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>de Castro</surname>
<given-names>I. N.</given-names>
</name>
<name>
<surname>Asenjo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>M&#xe1;rquez</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2002</year>). <article-title>Glutamine and its relationship with intracellular redox status, oxidative stress and cell proliferation/death</article-title>. <source>Int. J. Biochem. and cell Biol.</source> <volume>34</volume> (<issue>5</issue>), <fpage>439</fpage>&#x2013;<lpage>458</lpage>. <pub-id pub-id-type="doi">10.1016/s1357-2725(01)00143-1</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mat&#xe9;s</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>Segura</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Alonso</surname>
<given-names>F. J.</given-names>
</name>
<name>
<surname>M&#xe1;rquez</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Oxidative stress in apoptosis and cancer: an update</article-title>. <source>Archives Toxicol.</source> <volume>86</volume>, <fpage>1649</fpage>&#x2013;<lpage>1665</lpage>. <pub-id pub-id-type="doi">10.1007/s00204-012-0906-3</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nathan</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Cunningham-Bussel</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Beyond oxidative stress: an immunologist&#x2019;s guide to reactive oxygen species</article-title>. <source>Nat. Rev. Immunol.</source> <volume>13</volume> (<issue>5</issue>), <fpage>349</fpage>&#x2013;<lpage>361</lpage>. <pub-id pub-id-type="doi">10.1038/nri3423</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oizel</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Tait-Mulder</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Fernandez-de-Cossio-Diaz</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Pietzke</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Brunton</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Lilla</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Formate induces a metabolic switch in nucleotide and energy metabolism</article-title>. <source>Cell Death and Dis.</source> <volume>11</volume> (<issue>5</issue>), <fpage>310</fpage>. <pub-id pub-id-type="doi">10.1038/s41419-020-2523-z</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Olufunmilayo</surname>
<given-names>E. O.</given-names>
</name>
<name>
<surname>Gerke-Duncan</surname>
<given-names>M. B.</given-names>
</name>
<name>
<surname>Holsinger</surname>
<given-names>R. M. D.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Oxidative Stress and Antioxidants in Neurodegenerative Disorders</article-title>. <source>Antioxidants (Basel, Switzerland)</source> <volume>12</volume> (<issue>2</issue>), <fpage>517</fpage>. <pub-id pub-id-type="doi">10.3390/antiox12020517</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pietzke</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Meiser</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Vazquez</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Formate metabolism in health and disease</article-title>. <source>Mol. Metab.</source> <volume>33</volume>, <fpage>23</fpage>&#x2013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1016/j.molmet.2019.05.012</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ransy</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Vaz</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Lomb&#xe8;s</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Bouillaud</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Use of H2O2 to cause oxidative stress, the catalase issue</article-title>. <source>Int. J. Mol. Sci.</source> <volume>21</volume> (<issue>23</issue>), <fpage>9149</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.3390/ijms21239149</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rojas-Morales</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Pedraza-Chaverri</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Tapia</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Ketone bodies, stress response, and redox homeostasis</article-title>. <source>Redox Biol.</source> <volume>29</volume>, <fpage>101395</fpage>. <pub-id pub-id-type="doi">10.1016/j.redox.2019.101395</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>S&#xe1;nchez-Illana</surname>
<given-names>&#xc1;.</given-names>
</name>
<name>
<surname>Pi&#xf1;eiro-Ramos</surname>
<given-names>J. D.</given-names>
</name>
<name>
<surname>Ramos-Garcia</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Ten-Dom&#xe9;nech</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Vento</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kuligowski</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Oxidative stress biomarkers in the preterm infant</article-title>. <source>Adv. Clin. Chem.</source> <volume>102</volume>, <fpage>127</fpage>&#x2013;<lpage>189</lpage>. <pub-id pub-id-type="doi">10.1016/bs.acc.2020.08.011</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sappington</surname>
<given-names>D. R.</given-names>
</name>
<name>
<surname>Siegel</surname>
<given-names>E. R.</given-names>
</name>
<name>
<surname>Hiatt</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Desai</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Penney</surname>
<given-names>R. B.</given-names>
</name>
<name>
<surname>Jamshidi-Parsian</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Glutamine drives glutathione synthesis and contributes to radiation sensitivity of A549 and H460 lung cancer cell lines</article-title>. <source>Biochimica Biophysica Acta - General Subj.</source> <volume>1860</volume> (<issue>4</issue>), <fpage>836</fpage>&#x2013;<lpage>843</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbagen.2016.01.021</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sies</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Oxidative stress: a concept in redox biology and medicine</article-title>. <source>Redox Biol.</source> <volume>4</volume>, <fpage>180</fpage>&#x2013;<lpage>183</lpage>. <pub-id pub-id-type="doi">10.1016/j.redox.2015.01.002</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Kukreti</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Saso</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Kukreti</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Oxidative stress: a key modulator in neurodegenerative diseases</article-title>. <source>Molecules</source> <volume>24</volume> (<issue>8</issue>), <fpage>1583</fpage>. <pub-id pub-id-type="doi">10.3390/molecules24081583</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Straadt</surname>
<given-names>I. K.</given-names>
</name>
<name>
<surname>Young</surname>
<given-names>J. F.</given-names>
</name>
<name>
<surname>Petersen</surname>
<given-names>B. O.</given-names>
</name>
<name>
<surname>Duus</surname>
<given-names>J. &#xd8;.</given-names>
</name>
<name>
<surname>Gregersen</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Bross</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>2010</year>). <article-title>Oxidative stress-induced metabolic changes in mouse C2C12 myotubes studied with high-resolution 13C, 1H, and31P NMR spectroscopy</article-title>. <source>J. Agric. Food Chem.</source> <volume>58</volume> (<issue>3</issue>), <fpage>1918</fpage>&#x2013;<lpage>1926</lpage>. <pub-id pub-id-type="doi">10.1021/jf903505a</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Teleanu</surname>
<given-names>D. M.</given-names>
</name>
<name>
<surname>Niculescu</surname>
<given-names>A. G.</given-names>
</name>
<name>
<surname>Lungu</surname>
<given-names>I. I.</given-names>
</name>
<name>
<surname>Radu</surname>
<given-names>C. I.</given-names>
</name>
<name>
<surname>Vlad&#xe2;cenco</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Roza</surname>
<given-names>E.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>An overview of oxidative stress, neuroinflammation and neurodegenerative diseases</article-title>. <source>Int. J. Mol. Sci.</source> <volume>23</volume>, <fpage>5938</fpage>. <pub-id pub-id-type="doi">10.3390/ijms23115938</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Townsend</surname>
<given-names>D. M.</given-names>
</name>
<name>
<surname>Tew</surname>
<given-names>K. D.</given-names>
</name>
<name>
<surname>Tapiero</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>The importance of glutathione in human disease</article-title>. <source>Biomed. and Pharmacother.</source> <volume>57</volume>, <fpage>145</fpage>&#x2013;<lpage>155</lpage>. <pub-id pub-id-type="doi">10.1016/S0753-3322(03)00043-X</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tretter</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Adam-Vizi</surname>
<given-names>V.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Inhibition of krebs cycle enzymes by hydrogen peroxide: a key role of &#x3b1;-ketoglutarate dehydrogenase in limiting NADH production under oxidative stress</article-title>. <source>J. Neurosci.</source> <volume>20</volume> (<issue>24</issue>), <fpage>8972</fpage>&#x2013;<lpage>8979</lpage>. <pub-id pub-id-type="doi">10.1523/JNEUROSCI.20-24-08972.2000</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Valko</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Leibfritz</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Moncol</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Cronin</surname>
<given-names>M. T. D.</given-names>
</name>
<name>
<surname>Mazur</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Telser</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Free radicals and antioxidants in normal physiological functions and human disease</article-title>. <source>Int. J. Biochem. and Cell Biol.</source> <volume>39</volume>, <fpage>44</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1016/j.biocel.2006.07.001</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weydert</surname>
<given-names>C. J.</given-names>
</name>
<name>
<surname>Cullen</surname>
<given-names>J. J.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Measurement of superoxide dismutase, catalase and glutathione peroxidase in cultured cells and tissue</article-title>. <source>Nat. Protoc.</source> <volume>5</volume> (<issue>1</issue>), <fpage>51</fpage>&#x2013;<lpage>66</lpage>. <pub-id pub-id-type="doi">10.1038/nprot.2009.197</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wiese</surname>
<given-names>A. G.</given-names>
</name>
<name>
<surname>Pacifici</surname>
<given-names>R. E.</given-names>
</name>
<name>
<surname>Davies</surname>
<given-names>K. J. A.</given-names>
</name>
</person-group> (<year>1995</year>). <article-title>Transient adaptation to oxidative stress in mammalian cells</article-title>. <source>Archives Biochem. biophysics</source> <volume>318</volume> (<issue>1</issue>), <fpage>231</fpage>&#x2013;<lpage>240</lpage>. <pub-id pub-id-type="doi">10.1006/abbi.1995.1225</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Protective mechanism of leucine and isoleucine against H<sub>2</sub>O<sub>2</sub>-induced oxidative damage in bovine mammary epithelial cells</article-title>. <source>Oxidative Med. Cell. Longev.</source> <volume>2022</volume>, <fpage>1</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1155/2022/4013575</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yoon</surname>
<given-names>J.-Y.</given-names>
</name>
<name>
<surname>Baek</surname>
<given-names>C. W.</given-names>
</name>
<name>
<surname>Woo</surname>
<given-names>M. N.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>E. J.</given-names>
</name>
<name>
<surname>Yoon</surname>
<given-names>J. U.</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>C. H.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Remifentanil induces autophagy and prevents hydrogen peroxide-induced apoptosis in Cos-7 cells</article-title>. <source>J. Dent. Anesth. Pain Med.</source> <volume>16</volume> (<issue>3</issue>), <fpage>175</fpage>. <pub-id pub-id-type="doi">10.17245/jdapm.2016.16.3.175</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zheng</surname>
<given-names>W. V.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Anti-aging effect of &#x3b2;-carotene through regulating the KAT7-P15 signaling axis, inflammation and oxidative stress process</article-title>. <source>Cell. and Mol. Biol. Lett.</source> <volume>27</volume> (<issue>1</issue>), <fpage>86</fpage>. <pub-id pub-id-type="doi">10.1186/s11658-022-00389-7</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>