{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T13:22:34Z","timestamp":1784380954191,"version":"3.55.0"},"reference-count":57,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T00:00:00Z","timestamp":1748476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004225","name":"Petrobras","doi-asserted-by":"publisher","award":["2022\/00220-0"],"award-info":[{"award-number":["2022\/00220-0"]}],"id":[{"id":"10.13039\/501100004225","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biomolecules"],"abstract":"<jats:p>Depression and anxiety are mental health disorders that significantly impact global public health, affecting more than 280 million people with depression and 301 million with anxiety worldwide. These conditions impair individuals\u2019 ability to engage in economic and personal activities and can lead to severe outcomes, such as suicide. Current research suggests that inflammatory cytokines, such as interleukin-1\u03b2 (IL-1\u03b2), interleukin-6 (IL-6), and tumor necrosis factor (TNF), play crucial roles in the pathophysiology of these disorders, influencing neurotransmitters. Elevated cortisol levels, typically associated with anxiety, worsen these conditions through dysregulation of the hypothalamic\u2013pituitary\u2013adrenal (HPA) axis. Additionally, vitamin D deficiency has been linked to reduced production of dopamine and norepinephrine, hormones involved in depressive symptoms. This study utilized the Random Forest machine learning algorithm along with cross-validation to assess the importance of various biomarkers, including IL-1\u03b2, IL-6, IL-8, TNF, cortisol, vitamin D, NT-proBNP, CK-MB, troponin, myoglobin, and C-reactive protein (CRP), in volunteers of both sexes diagnosed with mental disorders. A single sample from each of the 96 participants was analyzed, consisting of 50 women and 46 men. The results revealed sex-specific differences in biomarker relevance, with vitamin D, CRP, and D-dimer being the most predictive for depression in men, while IL-6, CRP, and vitamin D were significant in women. For anxiety, vitamin D and myoglobin were important biomarkers in men, while IL-8 and vitamin D were key in women. The methodological strategy adopted, based on the use of Random Forest and cross-validation assessment, not only confirmed the robustness of the model but also reliably identified the most important biomarkers for the outcomes studied.<\/jats:p>","DOI":"10.3390\/biom15060793","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T06:25:04Z","timestamp":1748499904000},"page":"793","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Biomarkers and Mental Disorders: A Relevance Analysis Using a Random Forest Algorithm"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1277-0083","authenticated-orcid":false,"given":"Joice M. A.","family":"Rodolpho","sequence":"first","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krissia F.","family":"Godoy","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruna D. L.","family":"Fragelli","sequence":"additional","affiliation":[{"name":"Center for Development of Functional Materials, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaqueline","family":"Bianchi","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernanda O.","family":"Duarte","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luciana","family":"Camillo","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gustavo B.","family":"Silva","sequence":"additional","affiliation":[{"name":"Polytechnic School-Data Science and Artificial Intelligence, Pontifical Catholic University of Campinas (PUC Campinas), Campinas 13087-571, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulo H. M.","family":"Andrade","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juliana A.","family":"Prado","sequence":"additional","affiliation":[{"name":"Department of Medicine, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Speglich","sequence":"additional","affiliation":[{"name":"Leopoldo Am\u00e9rico Miguez de Mello Research Center CENPES\/Petrobr\u00e1s, Rio de Janeiro 21941-915, RJ, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernanda F.","family":"Anibal","sequence":"additional","affiliation":[{"name":"Laboratory of Inflammation and Infectious Diseases, Federal University of S\u00e3o Carlos (UFSCar), S\u00e3o Carlos 13565-905, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Harsanyi, S., Kupcova, I., Danisovic, L., and Klein, M. (2022). Selected Biomarkers of Depression: What Are the Effects of Cytokines and Inflammation?. Int. J. Mol. Sci., 24.","DOI":"10.3390\/ijms24010578"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"GBD 2019 Mental Disorders Collaborators (2022). Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990\u20132019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry, 7, 137\u2013150.","DOI":"10.1016\/S2215-0366(21)00395-3"},{"key":"ref_3","unstructured":"World Health Organization (2024, September 16). Anxiety Disorders. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/anxiety-disorders."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1590\/S0101-60832008000500004","article-title":"Depress\u00e3o, antidepressivos e sistema imune: Um novo olhar sobre um velho problema","volume":"35","author":"Vismari","year":"2008","journal-title":"Arch. Clin. Psychiatry"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1590\/1414-462X201400030001","article-title":"Depress\u00e3o, uma quest\u00e3o de sa\u00fade p\u00fablica","volume":"22","author":"Abelha","year":"2014","journal-title":"Cad. Sa\u00fade Colet."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1700","DOI":"10.1016\/S0140-6736(21)02143-7","article-title":"Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic","volume":"398","author":"Santomauro","year":"2021","journal-title":"Lancet"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.jad.2017.05.003","article-title":"A systematic review and meta-regression of the prevalence and incidence of perinatal depression","volume":"219","author":"Woody","year":"2017","journal-title":"J. Affect. Disord."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Craske, M.G., Stein, M.B., Eley, T.C., Milad, M.R., Holmes, A., Rapee, R.M., and Wittchen, H.-U. (2017). Anxiety disorders. Nat. Rev. Dis. Prim., 3.","DOI":"10.1038\/nrdp.2017.24"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1590\/1516-4446-2020-0650","article-title":"Prevalence and correlates of major depressive disorder: A systematic review","volume":"42","author":"Dunne","year":"2020","journal-title":"Rev. Bras. de Psiquiatr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1590\/0047-2085000000192","article-title":"Preval\u00eancia de depress\u00e3o e fatores associados em mulheres atendidas pela Estrat\u00e9gia de Sa\u00fade da Fam\u00edlia","volume":"67","author":"Teixeira","year":"2018","journal-title":"J. Bras. de Psiquiatr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1002\/ame2.12360","article-title":"Recent advances in anxiety disorders: Focus on animal models and pathological mechanisms","volume":"6","author":"Zhao","year":"2023","journal-title":"Anim. Model. Exp. Med."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1590\/0047-2085000000222","article-title":"Escala de Depress\u00e3o, Ansiedade e Estresse: Propriedades psicom\u00e9tricas e preval\u00eancia das afetividades","volume":"68","author":"Martins","year":"2019","journal-title":"J. Bras. de Psiquiatr."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Silveira, G.E.L., Viana, L.G., Sena, M.M., Alencar, M.M.S.d.C., Soares, P.R.A.L., Aquino, P.d.S., and Ribeiro, S.G. (2022). Sintomas de ansiedade e depress\u00e3o no ambiente acad\u00eamico: Um estudo transversal. Acta Paul. de Enferm., 35.","DOI":"10.37689\/acta-ape\/2022AO009766"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Rajkumar, R.P. (2022). Comorbid depression and anxiety: Integration of insights from attachment theory and cognitive neuroscience, and their implications for research and treatment. Front. Behav. Neurosci., 16.","DOI":"10.3389\/fnbeh.2022.1104928"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0278-5846(97)00179-6","article-title":"Psychoneuroimmunology and the cytokine action in the CNS: Implications for psychiatric disorders","volume":"22","author":"Ackenheil","year":"1998","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.jad.2022.03.003","article-title":"Interleukin-6-white matter network differences explained the susceptibility to depression after stressful life events","volume":"305","author":"Li","year":"2022","journal-title":"J. Affect. Disord."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.euroneuro.2020.11.009","article-title":"Higher baseline interleukin-1\u03b2 and TNF-\u03b1 hamper antidepressant response in major depressive disorder","volume":"42","author":"Benedetti","year":"2021","journal-title":"Eur. Neuropsychopharmacol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Tsai, S.-J. (2021). Role of interleukin 8 in depression and other psychiatric disorders. Prog. Neuro-Psychopharmacol. Biol. Psychiatry, 106.","DOI":"10.1016\/j.pnpbp.2020.110173"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Teo, C.H., Wong, A.C.H., Sivakumaran, R.N., Parhar, I., and Soga, T. (2023). Gender Differences in Cortisol and Cortisol Receptors in Depression: A Narrative Review. Int. J. Mol. Sci., 24.","DOI":"10.3390\/ijms24087129"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1186\/s13063-019-3699-3","article-title":"Contributions of vitamin D in the management of depressive symptoms and cardiovascular risk factors: Study protocol for a randomized, double-blind, placebo-controlled clinical trial","volume":"20","author":"Porto","year":"2019","journal-title":"Trials"},{"key":"ref_21","first-page":"85","article-title":"Prote\u00edna C reativa: Aplica\u00e7\u00f5es cl\u00ednicas e propostas para utiliza\u00e7\u00e3o racional","volume":"59","author":"Aguiar","year":"2013","journal-title":"Front. Public Health"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2491927","DOI":"10.1155\/2019\/2491927","article-title":"The Role of Oxidative Stress in Common Risk Factors and Mechanisms of Cardio-Cerebrovascular Ischemia and Depression","volume":"2019","author":"Lin","year":"2019","journal-title":"Oxidative Med. Cell. Longev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1097\/COH.0b013e32833ed177","article-title":"What Are Biomarkers?","volume":"5","author":"Strimbu","year":"2010","journal-title":"Curr. Opin. HIV AIDS"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Nobis, A., Zalewski, D., and Waszkiewicz, N. (2020). Peripheral Markers of Depression. J. Clin. Med., 9.","DOI":"10.3390\/jcm9123793"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"B\u0142aziak, M., Urban, S., Wietrzyk, W., Jura, M., Iwanek, G., Sta\u0144czykiewicz, B., Kuliczkowski, W., Zymli\u0144ski, R., Pondel, M., and Berka, P. (2022). An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review. Biomedicines, 10.","DOI":"10.3390\/biomedicines10092188"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1049\/htl.2016.0041","article-title":"Predicting adherence of patients with HF through machine learning techniques","volume":"3","author":"Karanasiou","year":"2016","journal-title":"Health Technol. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Hu, J., and Szymczak, S. (2023). A review on longitudinal data analysis with random forest. Brief. \\Bioinform., 24.","DOI":"10.1093\/bib\/bbad002"},{"key":"ref_28","first-page":"23814683231218716","article-title":"Informed Random Forest to Model Associations of Epidemiological Priors, Government Policies, and Public Mobility","volume":"8","author":"Thapelo","year":"2023","journal-title":"MDM Policy Pr."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1214\/08-AOAS169","article-title":"Random survival forests","volume":"2","author":"Ishwaran","year":"2008","journal-title":"Ann. Appl. Stat."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/1536867X20909688","article-title":"The random forest algorithm for statistical learning","volume":"20","author":"Schonlau","year":"2020","journal-title":"Stata J. Promot. Commun. Stat. Stata"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Freiberger, N., Lynch, T., Read, G.L., and Blouin, A.M. (2023). (Men)tal health: Perceptions of depression in men and women. SSM Ment. Health, 4.","DOI":"10.1016\/j.ssmmh.2023.100275"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2733","DOI":"10.1016\/j.jksuci.2022.03.012","article-title":"A novel improved random forest for text classification using feature ranking and optimal number of trees","volume":"34","author":"Jalal","year":"2022","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Kyriacou, E., Christofides, S., and Pattichis, C. (2016). Random Forest in Splice Site Prediction of Human Genome. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, Springer.","DOI":"10.1007\/978-3-319-32703-7"},{"key":"ref_34","first-page":"e984","article-title":"Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association","volume":"143","author":"Poirier","year":"2021","journal-title":"Circulation"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"117437","DOI":"10.1016\/j.cca.2023.117437","article-title":"Major depressive disorder: Biomarkers and biosensors","volume":"547","author":"Dadkhah","year":"2023","journal-title":"Clin. Chim. Acta"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/j.csbj.2022.01.003","article-title":"Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia","volume":"20","author":"Bohannan","year":"2022","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.neubiorev.2020.08.006","article-title":"Associations between sex hormones, sleep problems and depression: A systematic review","volume":"118","author":"Morssinkhof","year":"2020","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/0008-8749(89)90251-7","article-title":"Perturbation of the idiotypic network","volume":"119","author":"Chang","year":"1989","journal-title":"Cell. Immunol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e541","DOI":"10.1016\/S2352-3026(20)30121-6","article-title":"Machine learning in haematological malignancies","volume":"7","author":"Radakovich","year":"2020","journal-title":"Lancet Haematol"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1038\/s41386-018-0137-2","article-title":"Sex differences in stress reactivity in arousal and attention systems","volume":"44","author":"Bangasser","year":"2018","journal-title":"Neuropsychopharmacology"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Seeman, M.V., and Gonz\u00e1lez-Rodr\u00edguez, A. (2021). Stratification by Sex and Hormone Level When Contrasting Men and Women in Schizophrenia Trials Will Improve Personalized Treatment. J. Pers. Med., 11.","DOI":"10.3390\/jpm11090929"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-021-25772-4","article-title":"A deep-learning framework for multi-level peptide\u2013protein interaction prediction","volume":"12","author":"Lei","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2411","DOI":"10.1158\/1078-0432.CCR-19-1247","article-title":"Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning","volume":"26","author":"Yokoyama","year":"2020","journal-title":"Clin. Cancer Res."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Gal, O., Auslander, N., Fan, Y., and Meerzaman, D. (2019). Predicting Complete Remission of Acute Myeloid Leukemia: Machine Learning Applied to Gene Expression. Cancer Informatics, 18.","DOI":"10.1177\/1176935119835544"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Remes, O., Mendes, J.F., and Templeton, P. (2021). Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature. Brain Sci, 11.","DOI":"10.3390\/brainsci11121633"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"B\u00f8en, H., Dalgard, O.S., and Bjertness, E. (2012). The importance of social support in the associations between psychological distress and somatic health problems and socio-economic factors among older adults living at home: A cross sectional study. BMC Geriatr., 12.","DOI":"10.1186\/1471-2318-12-27"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1038\/s41583-021-00513-0","article-title":"Sex differences in anxiety and depression: Circuits and mechanisms","volume":"22","author":"Bangasser","year":"2021","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1056\/NEJMra073096","article-title":"Major Depressive Disorder","volume":"358","author":"Belmaker","year":"2008","journal-title":"N. Engl. J. Med."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2411","DOI":"10.1016\/j.jacc.2017.09.024","article-title":"A Test in Context: D-Dimer","volume":"70","author":"Weitz","year":"2017","journal-title":"J. Am. Coll. Cardiology"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1111\/j.1753-4887.2009.00220.x","article-title":"Vitamin D and the occurrence of depression: Causal association or circumstantial evidence?","volume":"67","year":"2009","journal-title":"Nutr. Rev."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"106605","DOI":"10.1016\/j.phrs.2022.106605","article-title":"Vitamin D protects against depression: Evidence from an umbrella meta-analysis on interventional and observational meta-analyses","volume":"187","author":"Musazadeh","year":"2022","journal-title":"Pharmacol. Res."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Saccaro, L.F., Schilliger, Z., Perroud, N., and Piguet, C. (2021). Inflammation, Anxiety, and Stress in Attention-Deficit\/Hyperactivity Disorder. Biomedicines, 9.","DOI":"10.3390\/biomedicines9101313"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1358\/dot.2007.43.10.1122223","article-title":"Psychopathology of depression","volume":"43","author":"Leonard","year":"2007","journal-title":"Drugs Today"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"515","DOI":"10.2147\/NDT.S438835","article-title":"Clinical Characteristics of Asymptomatic Thromboembolism in Psychiatric Inpatients: A Retrospective Study","volume":"ume 20","author":"Geng","year":"2024","journal-title":"Neuropsychiatr. Dis. Treat."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Parkin, L., Balkwill, A., Sweetland, S., Reeves, G.K., Green, J., Beral, V., the Million Women Study Collaborators, Abbiss, H., Abbott, S., and Alison, R. (2017). Antidepressants, Depression, and Venous Thromboembolism Risk: Large Prospective Study of UK Women. J. Am. Hear. Assoc., 6.","DOI":"10.1161\/JAHA.116.005316"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1152\/physrev.00037.2020","article-title":"The role of globins in cardiovascular physiology","volume":"102","author":"Keller","year":"2022","journal-title":"Physiol. Rev."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Soares, C.L.R., Wilairatana, P., Silva, L.R., Moreira, P.S., Barbosa, N.M.M.V., da Silva, P.R., Coutinho, H.D.M., de Menezes, I.R.A., and Felipe, C.F.B. (2023). Biochemical aspects of the inflammatory process: A narrative review. Biomed. Pharmacother., 168.","DOI":"10.1016\/j.biopha.2023.115764"}],"container-title":["Biomolecules"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-273X\/15\/6\/793\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:42:59Z","timestamp":1760031779000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-273X\/15\/6\/793"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,29]]},"references-count":57,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["biom15060793"],"URL":"https:\/\/doi.org\/10.3390\/biom15060793","relation":{},"ISSN":["2218-273X"],"issn-type":[{"value":"2218-273X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,29]]}}}