{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:45:40Z","timestamp":1755218740695,"version":"3.43.0"},"reference-count":73,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"publisher","award":["22-15-00288"],"award-info":[{"award-number":["22-15-00288"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Although multiple aspects of molecular pathology underlying cardiovascular diseases (CVDs) have been revealed, the complete picture has yet to be elucidated. In this respect, annotation of the novel links between genes and atherosclerosis is of great importance for cardiovascular medicine. Aligning with our previous research, we aimed to analyze the cardiovascular predisposition contribution of the genes encoding Hero-proteins, polypeptides with chaperone activity. Following bioinformatic sources were utilized to annotate data regarding the cardiovascular contribution of Hero-proteins and their genes: SNPinfo Web Server, The Cardiovascular Disease Knowledge Portal, GTEx Portal, HaploReg, rSNPBase, RegulomeDB, atSNP, Gene Ontology, QTLbase, and the Blood eQTL browser. Almost all analyzed genes were characterized by a very high regulatory potential of tag SNPs (except <jats:italic>BEX3<\/jats:italic>). Multiple substantial impacts of the analyzed SNPs on histone modifications, eQTL effects on CVD-related genes, and binding to transcription factors involved in biological processes pathogenetically significant for CVDs have been discovered. Here we provide <jats:italic>in silico<\/jats:italic> evidence of the involvement of genes <jats:italic>C9orf16 (BBLN)<\/jats:italic>, <jats:italic>C11orf58<\/jats:italic>, <jats:italic>SERBP1<\/jats:italic>, <jats:italic>SERF2<\/jats:italic>, and <jats:italic>C19orf53<\/jats:italic> in CVDs and their risk factors (high blood pressure, dyslipidemia, obesity, arrhythmias, etc.), thus revealing Hero-proteins as putative actors in the pathobiology of the heart and vessels.<\/jats:p>","DOI":"10.1515\/jib-2024-0043","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T06:29:43Z","timestamp":1748845783000},"source":"Crossref","is-referenced-by-count":0,"title":["Bioinformatic analysis of the regulatory potential of tagging SNPs provides evidence of the involvement of genes encoding the heat-resistant obscure (Hero) proteins in the pathogenesis of cardiovascular diseases"],"prefix":"10.1515","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8400-6244","authenticated-orcid":false,"given":"Vladislav V.","family":"Shilenok","sequence":"first","affiliation":[{"name":"Laboratory of Genomic Research , Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University , Kursk 305041 , Russia"},{"name":"Cardiology Department with Intensive Care Unit, Kursk Emergency Hospital , 305035 Kursk , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7894-8385","authenticated-orcid":false,"given":"Irina V.","family":"Shilenok","sequence":"additional","affiliation":[{"name":"Laboratory of Genomic Research , Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University , Kursk 305041 , Russia"},{"name":"Division of Neurology , Kursk Emergency Hospital , 305035 Kursk , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9706-0699","authenticated-orcid":false,"given":"Vladislav O.","family":"Soldatov","sequence":"additional","affiliation":[{"name":"Joint Center for Genetic Technologies and Department of Pharmacology and Clinical Pharmacology , Belgorod State National Research University , Belgorod 308015 , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0587-1609","authenticated-orcid":false,"given":"Yuriy L.","family":"Orlov","sequence":"additional","affiliation":[{"name":"Center of Biodesign and Complex Systems Modeling , Sechenov First Moscow State Medical University (Sechenov University) , Moscow 119991 , Russia"},{"name":"Agrarian and Technological Institute, Peoples\u2019 Friendship University of Russia , Moscow 117198 , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0652-2219","authenticated-orcid":false,"given":"Ksenia A.","family":"Kobzeva","sequence":"additional","affiliation":[{"name":"Laboratory of Genomic Research , Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University , Kursk 305041 , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9960-0863","authenticated-orcid":false,"given":"Alexey V.","family":"Deykin","sequence":"additional","affiliation":[{"name":"Joint Center for Genetic Technologies and Department of Pharmacology and Clinical Pharmacology , Belgorod State National Research University , Belgorod 308015 , Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3333-0623","authenticated-orcid":false,"given":"Olga Yu","family":"Bushueva","sequence":"additional","affiliation":[{"name":"Laboratory of Genomic Research , Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University , Kursk 305041 , Russia"},{"name":"Department of Biology, Medical Genetics and Ecology , Kursk State Medical University , Kursk 305041 , Russia"}]}],"member":"374","published-online":{"date-parts":[[2025,6,3]]},"reference":[{"key":"2025080610581962440_j_jib-2024-0043_ref_001","unstructured":"World Heart Report 2023. Confronting the world\u2019s number one killer. Geneva, Switzerland: World Heart Federation; 2023."},{"key":"2025080610581962440_j_jib-2024-0043_ref_002","doi-asserted-by":"crossref","unstructured":"Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, et al.. Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study. J Am Coll Cardiol 2020;76:2982\u20133021. https:\/\/doi.org\/10.1016\/j.jacc.2020.11.010.","DOI":"10.1016\/j.jacc.2020.11.010"},{"key":"2025080610581962440_j_jib-2024-0043_ref_003","doi-asserted-by":"crossref","unstructured":"Bushueva, O. Single nucleotide polymorphisms in genes encoding xenobiotic metabolizing enzymes are associated with predisposition to arterial hypertension. Res. Results in Biomed. 2020;6. https:\/\/doi.org\/10.18413\/2658-6533-2020-6-4-0-1.","DOI":"10.18413\/2658-6533-2020-6-4-0-1"},{"key":"2025080610581962440_j_jib-2024-0043_ref_004","doi-asserted-by":"crossref","unstructured":"Polonikov, A, Vialykh, E, Vasil\u2019eva, O, Bulgakova, I, Bushueva, O, Illig, T, et al.. Genetic variation in glutathione S-transferase genes and risk of nonfatal cerebral stroke in patients suffering from essential hypertension. J Mol Neurosci 2012;47:511\u20133. https:\/\/doi.org\/10.1007\/s12031-012-9764-y.","DOI":"10.1007\/s12031-012-9764-y"},{"key":"2025080610581962440_j_jib-2024-0043_ref_005","unstructured":"Vialykh, EK, Solidolova, MA, Bushueva, OI, Bulgakova, IV, Polonikov, AV. Catalase gene polymorphism is associated with increased risk of cerebral stroke in hypertensive patients. Zh Nevrol Psikhiatr Im\u202fS S Korsakova 2012;112:3\u20137."},{"key":"2025080610581962440_j_jib-2024-0043_ref_006","doi-asserted-by":"crossref","unstructured":"Arima, H, Barzi, F, Chalmers, J. Mortality patterns in hypertension. J Hypertens 2011;29:S3\u20137. https:\/\/doi.org\/10.1097\/01.hjh.0000410246.59221.b1.","DOI":"10.1097\/01.hjh.0000410246.59221.b1"},{"key":"2025080610581962440_j_jib-2024-0043_ref_007","doi-asserted-by":"crossref","unstructured":"Sorokin, A, Kotani, K, Bushueva, O, Taniguchi, N, Lazarenko, V. The cardio-ankle vascular index and ankle-brachial index in young russians. J Atheroscler Thromb 2015;22:211\u20138. https:\/\/doi.org\/10.5551\/jat.26104.","DOI":"10.5551\/jat.26104"},{"key":"2025080610581962440_j_jib-2024-0043_ref_008","doi-asserted-by":"crossref","unstructured":"Kong, P, Cui, Z-Y, Huang, X-F, Zhang, D-D, Guo, R-J, Han, M. Inflammation and atherosclerosis: signaling pathways and therapeutic intervention. Sig Transduct Target Ther 2022;7:1\u201324. https:\/\/doi.org\/10.1038\/s41392-022-00955-7.","DOI":"10.1038\/s41392-022-00955-7"},{"key":"2025080610581962440_j_jib-2024-0043_ref_009","doi-asserted-by":"crossref","unstructured":"Schmidt-Ott, KM, Kagiyama, S, Phillips, MI. The multiple actions of angiotensin II in atherosclerosis. Regul Pept 2000;93:65\u201377. https:\/\/doi.org\/10.1016\/s0167-0115(00)00178-6.","DOI":"10.1016\/S0167-0115(00)00178-6"},{"key":"2025080610581962440_j_jib-2024-0043_ref_010","doi-asserted-by":"crossref","unstructured":"Han, Y, Kim, SY. Endothelial senescence in vascular diseases: current understanding and future opportunities in senotherapeutics. Exp Mol Med 2023;55:1\u201312. https:\/\/doi.org\/10.1038\/s12276-022-00906-w.","DOI":"10.1038\/s12276-022-00906-w"},{"key":"2025080610581962440_j_jib-2024-0043_ref_011","doi-asserted-by":"crossref","unstructured":"Tian, F, Chen, L, Qian, ZM, Xia, H, Zhang, Z, Zhang, J, et al.. Ranking age-specific modifiable risk factors for cardiovascular disease and mortality: evidence from a population-based longitudinal study. EClinicalMedicine 2023;64:102230. https:\/\/doi.org\/10.1016\/j.eclinm.2023.102230.","DOI":"10.1016\/j.eclinm.2023.102230"},{"key":"2025080610581962440_j_jib-2024-0043_ref_012","doi-asserted-by":"crossref","unstructured":"Bushueva, OY, Bulgakova, IV, Ivanov, VP, Polonikov, AV. Association of flavin monooxygenase gene E158K polymorphism with chronic heart disease risk. Bull Exp Biol Med 2015;159:776\u20138. https:\/\/doi.org\/10.1007\/s10517-015-3073-8.","DOI":"10.1007\/s10517-015-3073-8"},{"key":"2025080610581962440_j_jib-2024-0043_ref_013","doi-asserted-by":"crossref","unstructured":"Bushueva, O, Solodilova, M, Ivanov, V, Polonikov, A. Gender-specific protective effect of the \u2212463G>A polymorphism of myeloperoxidase gene against the risk of essential hypertension in Russians. J Am Soc Hypertens 2015;9:902\u20136. https:\/\/doi.org\/10.1016\/j.jash.2015.08.006.","DOI":"10.1016\/j.jash.2015.08.006"},{"key":"2025080610581962440_j_jib-2024-0043_ref_014","doi-asserted-by":"crossref","unstructured":"Bushueva, O, Barysheva, E, Markov, A, Belykh, A, Koroleva, I, Churkin, E, et al.. DNA hypomethylation of the MPO gene in peripheral blood leukocytes is associated with cerebral stroke in the acute phase. J Mol Neurosci 2021;71:1914\u201332. https:\/\/doi.org\/10.1007\/s12031-021-01840-8.","DOI":"10.1007\/s12031-021-01840-8"},{"key":"2025080610581962440_j_jib-2024-0043_ref_015","doi-asserted-by":"crossref","unstructured":"Chen, J, Chen, J, Zhu, T, Fu, Y, Cheongi, IH, Yi, K, et al.. Causal relationships of excessive daytime napping with atherosclerosis and cardiovascular diseases: a Mendelian randomization study. Sleep 2023;46:zsac257. https:\/\/doi.org\/10.1093\/sleep\/zsac257.","DOI":"10.1093\/sleep\/zsac257"},{"key":"2025080610581962440_j_jib-2024-0043_ref_016","doi-asserted-by":"crossref","unstructured":"Belykh, AE, Soldatov, VO, Stetskaya, TA, Kobzeva, KA, Soldatova, MO, Polonikov, AV, et al.. Polymorphism of SERF2, the gene encoding a heat-resistant obscure (Hero) protein with chaperone activity, is a novel link in ischemic stroke. IBRO Neurosci Rep 2023;14:453\u201361. https:\/\/doi.org\/10.1016\/j.ibneur.2023.05.004.","DOI":"10.1016\/j.ibneur.2023.05.004"},{"key":"2025080610581962440_j_jib-2024-0043_ref_017","doi-asserted-by":"crossref","unstructured":"Shilenok, I, Kobzeva, K, Stetskaya, T, Freidin, M, Soldatova, M, Deykin, A, et al.. SERPINE1 mRNA binding protein 1 is associated with ischemic stroke risk: a comprehensive molecular\u2013genetic and bioinformatics analysis of SERBP1 SNPs. Int J Mol Sci 2023;24:8716. https:\/\/doi.org\/10.3390\/ijms24108716.","DOI":"10.3390\/ijms24108716"},{"key":"2025080610581962440_j_jib-2024-0043_ref_018","doi-asserted-by":"crossref","unstructured":"Shilenok, I, Kobzeva, K, Deykin, A, Pokrovsky, V, Patrakhanov, E, Bushueva, O. Obesity and environmental risk factors significantly modify the association between ischemic stroke and the Hero chaperone C19orf53. Life 2024;14:1158. https:\/\/doi.org\/10.3390\/life14091158.","DOI":"10.3390\/life14091158"},{"key":"2025080610581962440_j_jib-2024-0043_ref_019","doi-asserted-by":"crossref","unstructured":"Kobzeva, KA, Shilenok, IV, Belykh, AE, Gurtovoy, DE, Bobyleva, LA, Krapiva, AB, et al.. C9orf16 (BBLN) gene, encoding a member of Hero proteins, is a novel marker in ischemic stroke risk. Res Results in Biomed 2022;8:278\u201392. https:\/\/doi.org\/10.18413\/2658-6533-2022-8-3-0-2.","DOI":"10.18413\/2658-6533-2022-8-3-0-2"},{"key":"2025080610581962440_j_jib-2024-0043_ref_020","doi-asserted-by":"crossref","unstructured":"Tsuboyama, K, Osaki, T, Matsuura-Suzuki, E, Kozuka-Hata, H, Okada, Y, Oyama, M, et al.. A widespread family of heat-resistant obscure (Hero) proteins protect against protein instability and aggregation. PLoS Biol 2020;18:e3000632. https:\/\/doi.org\/10.1371\/journal.pbio.3000632.","DOI":"10.1371\/journal.pbio.3000632"},{"key":"2025080610581962440_j_jib-2024-0043_ref_021","doi-asserted-by":"crossref","unstructured":"Tan, C, Niitsu, A, Sugita, Y. Highly charged proteins and their repulsive interactions antagonize biomolecular condensation. JACS Au 2023;3:834\u201348. https:\/\/doi.org\/10.1021\/jacsau.2c00646.","DOI":"10.1021\/jacsau.2c00646"},{"key":"2025080610581962440_j_jib-2024-0043_ref_022","doi-asserted-by":"crossref","unstructured":"Chen, X, Zhang, H, Xiao, B. C9orf16 represents the aberrant genetic programs and drives the progression of PDAC. BMC Cancer 2022;22:1102. https:\/\/doi.org\/10.1186\/s12885-022-10202-5.","DOI":"10.1186\/s12885-022-10202-5"},{"key":"2025080610581962440_j_jib-2024-0043_ref_023","unstructured":"Wang, J, Chen, C, Li, H-F, Jiang, X-L, Zhang, L. Investigating key genes associated with ovarian cancer by integrating affinity propagation clustering and mutual information network analysis. Eur Rev Med Pharmacol Sci 2016;20:2532\u201340."},{"key":"2025080610581962440_j_jib-2024-0043_ref_024","doi-asserted-by":"crossref","unstructured":"Gao, W, Li, JZ-H, Chen, S-Q, Chu, C-Y, Chan, JY-W, Wong, T-S. BEX3 contributes to cisplatin chemoresistance in nasopharyngeal carcinoma. Cancer Med 2017;6:439\u201351. https:\/\/doi.org\/10.1002\/cam4.982.","DOI":"10.1002\/cam4.982"},{"key":"2025080610581962440_j_jib-2024-0043_ref_025","doi-asserted-by":"crossref","unstructured":"Kim, A-J, Lee, C-S, Schlessinger, D. Bex3 associates with replicating mitochondria and is involved in possible growth control of F9 teratocarcinoma cells. Gene 2004;343:79\u201389. https:\/\/doi.org\/10.1016\/j.gene.2004.08.031.","DOI":"10.1016\/j.gene.2004.08.031"},{"key":"2025080610581962440_j_jib-2024-0043_ref_026","doi-asserted-by":"crossref","unstructured":"Wu, L, Hu, X, Dai, H, Chen, K, Liu, B. Identification of an m6A regulators-mediated prognosis signature for survival prediction and its relevance to immune infiltration in melanoma. Front Cell Dev Biol 2021;9:718912. https:\/\/doi.org\/10.3389\/fcell.2021.718912.","DOI":"10.3389\/fcell.2021.718912"},{"key":"2025080610581962440_j_jib-2024-0043_ref_027","doi-asserted-by":"crossref","unstructured":"Huang, H, Zheng, J, Shen, N, Wang, G, Zhou, G, Fang, Y, et al.. Identification of pathways and genes associated with synovitis in osteoarthritis using bioinformatics analyses. Sci Rep 2018;8:10050. https:\/\/doi.org\/10.1038\/s41598-018-28280-6.","DOI":"10.1038\/s41598-018-28280-6"},{"key":"2025080610581962440_j_jib-2024-0043_ref_028","doi-asserted-by":"crossref","unstructured":"Zhu, W, Xu, C, Zhang, J-G, He, H, Wu, K-H, Zhang, L, et al.. Gene-based GWAS analysis for consecutive studies of GEFOS. Osteoporos Int 2018;29:2645\u201358. https:\/\/doi.org\/10.1007\/s00198-018-4654-y.","DOI":"10.1007\/s00198-018-4654-y"},{"key":"2025080610581962440_j_jib-2024-0043_ref_029","doi-asserted-by":"crossref","unstructured":"Navas-P\u00e9rez, E, Vicente-Garc\u00eda, C, Mirra, S, Burguera, D, Fern\u00e0ndez-Castillo, N, Ferr\u00e1n, JL, et al.. Characterization of an eutherian gene cluster generated after transposon domestication identifies Bex3 as relevant for advanced neurological functions. Genome Biol 2020;21:267. https:\/\/doi.org\/10.1186\/s13059-020-02172-3.","DOI":"10.1186\/s13059-020-02172-3"},{"key":"2025080610581962440_j_jib-2024-0043_ref_031","unstructured":"SNPinfo Web Server. National Institute of Environmental Health Sciences. https:\/\/www.niehs.nih.gov\/research\/resources\/databases\/snpinfo [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_032","doi-asserted-by":"crossref","unstructured":"Xu, Z, Taylor, JA. SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies. Nucleic Acids Res 2009;37:W600\u2013605. https:\/\/doi.org\/10.1093\/nar\/gkp290.","DOI":"10.1093\/nar\/gkp290"},{"key":"2025080610581962440_j_jib-2024-0043_ref_033","unstructured":"HaploReg v4.2. https:\/\/pubs.broadinstitute.org\/mammals\/haploreg\/haploreg.php [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_034","doi-asserted-by":"crossref","unstructured":"Ward, LD, Kellis, M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res 2012;40:D930\u20134. https:\/\/doi.org\/10.1093\/nar\/gkr917.","DOI":"10.1093\/nar\/gkr917"},{"key":"2025080610581962440_j_jib-2024-0043_ref_035","doi-asserted-by":"crossref","unstructured":"Guo, L, Wang, J. rSNPBase 3.0: an updated database of SNP-related regulatory elements, element-gene pairs and SNP-based gene regulatory networks. Nucleic Acids Res 2018;46:D1111\u20136. https:\/\/doi.org\/10.1093\/nar\/gkx1101.","DOI":"10.1093\/nar\/gkx1101"},{"key":"2025080610581962440_j_jib-2024-0043_ref_036","unstructured":"RegulomeDB search \u2013 RegulomeDB. https:\/\/regulome.stanford.edu\/regulome-search\/ [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_037","doi-asserted-by":"crossref","unstructured":"Dong, S, Boyle, AP. Predicting functional variants in enhancer and promoter elements using RegulomeDB. Hum Mutat 2019;40:1292\u20138. https:\/\/doi.org\/10.1002\/humu.23791.","DOI":"10.1002\/humu.23791"},{"key":"2025080610581962440_j_jib-2024-0043_ref_038","unstructured":"atSNP. http:\/\/atsnp.biostat.wisc.edu\/ [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_039","doi-asserted-by":"crossref","unstructured":"Shin, S, Hudson, R, Harrison, C, Craven, M, Kele\u015f, S. atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding. Bioinformatics 2019;35:2657\u20139. https:\/\/doi.org\/10.1093\/bioinformatics\/bty1010.","DOI":"10.1093\/bioinformatics\/bty1010"},{"key":"2025080610581962440_j_jib-2024-0043_ref_040","unstructured":"Gene Ontology Resource. Gene ontology resource. http:\/\/geneontology.org\/[Accessed 05 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_041","doi-asserted-by":"crossref","unstructured":"Consortium, GO. The gene ontology resource: 20 years and still GOing strong. Nucleic Acids Res 2019;47:D330\u20138. https:\/\/doi.org\/10.1093\/nar\/gky1055.","DOI":"10.1093\/nar\/gky1055"},{"key":"2025080610581962440_j_jib-2024-0043_ref_042","unstructured":"QTLbase home. http:\/\/www.mulinlab.org\/qtlbase [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_043","doi-asserted-by":"crossref","unstructured":"Zheng, Z, Huang, D, Wang, J, Zhao, K, Zhou, Y, Guo, Z, et al.. QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes. Nucleic Acids Res 2020;48:D983\u201391. https:\/\/doi.org\/10.1093\/nar\/gkz888.","DOI":"10.1093\/nar\/gkz888"},{"key":"2025080610581962440_j_jib-2024-0043_ref_044","unstructured":"eQTLGen \u2013 cis-eQTLs. https:\/\/eqtlgen.org\/cis-eqtls.html [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_045","doi-asserted-by":"crossref","unstructured":"V\u00f5sa, U, Claringbould, A, Westra, H-J, Bonder, MJ, Deelen, P, Zeng, B, et al.. Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis. BioRxiv 2018:447367. https:\/\/doi.org\/10.1038\/s41588-021-00913-z.","DOI":"10.1101\/447367"},{"key":"2025080610581962440_j_jib-2024-0043_ref_046","unstructured":"GTEx portal. https:\/\/www.gtexportal.org\/home\/ [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_047","doi-asserted-by":"crossref","unstructured":"THE GTEX CONSORTIUM, Anand, S, Ardlie, KG, Gabriel, S, Getz, GA, Graubert, A. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science 2020;369:1318\u201330. https:\/\/doi.org\/10.1126\/science.aaz1776.","DOI":"10.1126\/science.aaz1776"},{"key":"2025080610581962440_j_jib-2024-0043_ref_048","unstructured":"Home | cardiovascular disease Knowledge portal. https:\/\/cvd.hugeamp.org\/ [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_049","doi-asserted-by":"crossref","unstructured":"Crawford, KM, Gallego-Fabrega, C, Kourkoulis, C, Miyares, L, Marini, S, Flannick, J, et al.. Cerebrovascular disease Knowledge portal. Stroke 2018;49:470\u20135. https:\/\/doi.org\/10.1161\/STROKEAHA.117.018922.","DOI":"10.1161\/STROKEAHA.117.018922"},{"key":"2025080610581962440_j_jib-2024-0043_ref_050","doi-asserted-by":"crossref","unstructured":"Liao, Z, Wang, B, Liu, W, Xu, Q, Hou, L, Song, J, et al.. Dysfunction of chaperone-mediated autophagy in human diseases. Mol Cell Biochem 2021;476:1439\u201354. https:\/\/doi.org\/10.1007\/s11010-020-04006-z.","DOI":"10.1007\/s11010-020-04006-z"},{"key":"2025080610581962440_j_jib-2024-0043_ref_051","doi-asserted-by":"crossref","unstructured":"Willis, MS, Patterson, C. Hold me tight: role of the heat shock protein family of chaperones in cardiac disease. Circulation 2010;122:1740\u201351. https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.110.942250.","DOI":"10.1161\/CIRCULATIONAHA.110.942250"},{"key":"2025080610581962440_j_jib-2024-0043_ref_052","doi-asserted-by":"crossref","unstructured":"Ranek, MJ, Stachowski, MJ, Kirk, JA, Willis, MS. The role of heat shock proteins and co-chaperones in heart failure. Philos Trans R Soc Lond B Biol Sci 2018;373:20160530. https:\/\/doi.org\/10.1098\/rstb.2016.0530.","DOI":"10.1098\/rstb.2016.0530"},{"key":"2025080610581962440_j_jib-2024-0043_ref_053","doi-asserted-by":"crossref","unstructured":"Kobzeva, KA, Soldatova, MO, Stetskaya, TA, Soldatov, VO, Deykin, AV, Freidin, MB, et al.. Association between HSPA8 gene variants and ischemic stroke: a pilot study providing additional evidence for the role of heat shock proteins in disease pathogenesis. Genes 2023;14:1171. https:\/\/doi.org\/10.3390\/genes14061171.","DOI":"10.3390\/genes14061171"},{"key":"2025080610581962440_j_jib-2024-0043_ref_054","doi-asserted-by":"crossref","unstructured":"Venediktov, AA, Bushueva, OY, Kudryavtseva, VA, Kuzmin, EA, Moiseeva, AV, Baldycheva, A, et al.. Closest horizons of Hsp70 engagement to manage neurodegeneration. Front Mol Neurosci 2023;16:1230436. https:\/\/doi.org\/10.3389\/fnmol.2023.1230436.","DOI":"10.3389\/fnmol.2023.1230436"},{"key":"2025080610581962440_j_jib-2024-0043_ref_055","doi-asserted-by":"crossref","unstructured":"Stetskaya, TA, Kobzeva, KA, Zaytsev, SM, Shilenok, IV, Komkova, GV, Goryainova, NV, et al.. HSPD1 gene polymorphism is associated with an increased risk of ischemic stroke in smokers. Res Results in Biomed 2024;10:175\u201386. https:\/\/doi.org\/10.18413\/2658-6533-2024-10-2-0-1.","DOI":"10.18413\/2658-6533-2024-10-2-0-1"},{"key":"2025080610581962440_j_jib-2024-0043_ref_056","doi-asserted-by":"crossref","unstructured":"Yagci, ZB, Esvap, E, Ozkara, HA, Ulgen, KO, Olmez, EO. Inflammatory response and its relation to sphingolipid metabolism proteins: chaperones as potential indirect anti-inflammatory agents. Adv Protein Chem Struct Biol 2019;114:153\u2013219. https:\/\/doi.org\/10.1016\/bs.apcsb.2018.09.004.","DOI":"10.1016\/bs.apcsb.2018.09.004"},{"key":"2025080610581962440_j_jib-2024-0043_ref_057","doi-asserted-by":"crossref","unstructured":"Khandia, R, Munjal, AK, Iqbal, HMN, Dhama, K. Heat shock proteins: therapeutic perspectives in inflammatory disorders. Recent Pat Inflamm Allergy Drug Discov 2017;10:94\u2013104. https:\/\/doi.org\/10.2174\/1872213X10666161213163301.","DOI":"10.2174\/1872213X10666161213163301"},{"key":"2025080610581962440_j_jib-2024-0043_ref_058","doi-asserted-by":"crossref","unstructured":"Ulrich, K, Schwappach, B, Jakob, U. Thiol-based switching mechanisms of stress-sensing chaperones. Biol Chem 2021;402:239\u201352. https:\/\/doi.org\/10.1515\/hsz-2020-0262.","DOI":"10.1515\/hsz-2020-0262"},{"key":"2025080610581962440_j_jib-2024-0043_ref_059","doi-asserted-by":"crossref","unstructured":"Thomas, C, Tamp\u00e9, R. MHC I chaperone complexes shaping immunity. Curr Opin Immunol 2019;58:9\u201315. https:\/\/doi.org\/10.1016\/j.coi.2019.01.001.","DOI":"10.1016\/j.coi.2019.01.001"},{"key":"2025080610581962440_j_jib-2024-0043_ref_060","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Iturbe, B, Johnson, RJ. Heat shock proteins and cardiovascular disease. Phys Int 2018;105:19\u201337. https:\/\/doi.org\/10.1556\/2060.105.2018.1.4.","DOI":"10.1556\/2060.105.2018.1.4"},{"key":"2025080610581962440_j_jib-2024-0043_ref_061","doi-asserted-by":"crossref","unstructured":"G\u00f3mez-Serrano, M, Camafeita, E, Loureiro, M, Peral, B. Mitoproteomics: tackling mitochondrial dysfunction in human disease. Oxid Med Cell Longev 2018;2018:1435934. https:\/\/doi.org\/10.1155\/2018\/1435934.","DOI":"10.1155\/2018\/1435934"},{"key":"2025080610581962440_j_jib-2024-0043_ref_062","doi-asserted-by":"crossref","unstructured":"Stastna, M. Proteomics as a tool for the study of mitochondrial proteome, its dysfunctionality and pathological consequences in cardiovascular diseases. Int J Mol Sci 2023;24:4692. https:\/\/doi.org\/10.3390\/ijms24054692.","DOI":"10.3390\/ijms24054692"},{"key":"2025080610581962440_j_jib-2024-0043_ref_063","doi-asserted-by":"crossref","unstructured":"Krishnan-Sivadoss, I, Mijares-Rojas, IA, Villarreal-Leal, RA, Torre-Amione, G, Knowlton, AA, Guerrero-Beltr\u00e1n, CE. Heat shock protein 60 and cardiovascular diseases: an intricate love-hate story. Med Res Rev 2021;41:29\u201371. https:\/\/doi.org\/10.1002\/med.21723.","DOI":"10.1002\/med.21723"},{"key":"2025080610581962440_j_jib-2024-0043_ref_064","doi-asserted-by":"crossref","unstructured":"Qiao, L, Ma, J, Zhang, Z, Sui, W, Zhai, C, Xu, D, et al.. Deficient chaperone-mediated autophagy promotes inflammation and atherosclerosis. Circ Res 2021;129:1141\u201357. https:\/\/doi.org\/10.1161\/CIRCRESAHA.121.318908.","DOI":"10.1161\/CIRCRESAHA.121.318908"},{"key":"2025080610581962440_j_jib-2024-0043_ref_065","doi-asserted-by":"crossref","unstructured":"Zhang, X, Zhen, D, Yi, F, Zhang, T, Li, X, Wang, Y, et al.. Identification of six pathogenic genes for Tibetan familial ventricular septal defect by whole exome sequencing. J Surg Res 2024;296:18\u201328. https:\/\/doi.org\/10.1016\/j.jss.2023.12.004.","DOI":"10.1016\/j.jss.2023.12.004"},{"key":"2025080610581962440_j_jib-2024-0043_ref_066","doi-asserted-by":"crossref","unstructured":"Zhang, X, Zhen, D, Li, X, Yi, F, Zhang, Z, Yang, W, et al.. NOTCH2, ATIC, MRI1, SLC6A13, ATP13A2 genetic variations are associated with ventricular septal defect in the Chinese Tibetan population through whole-exome sequencing. Pharmgenomics Pers Med 2023;16:389\u2013400. https:\/\/doi.org\/10.2147\/PGPM.S404438.","DOI":"10.2147\/PGPM.S404438"},{"key":"2025080610581962440_j_jib-2024-0043_ref_067","unstructured":"MAPDA gene \u2013 GeneCards | ADAL protein | ADAL antibody. https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=MAPDA [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_068","doi-asserted-by":"crossref","unstructured":"Xuan, C, Tian, Q-W, Zhang, S-Y, Li, H, Tian, T-T, Zhao, P, et al.. Serum adenosine deaminase activity and coronary artery disease: a retrospective case-control study based on 9929 participants. Ther Adv Chron Dis 2019;10. https:\/\/doi.org\/10.1177\/2040622319891539.","DOI":"10.1177\/2040622319891539"},{"key":"2025080610581962440_j_jib-2024-0043_ref_069","doi-asserted-by":"crossref","unstructured":"Li, X, Fang, P, Yang, WY, Wang, H, Yang, X. IL-35, as a newly proposed homeostasis-associated molecular pattern, plays three major functions including anti-inflammatory initiator, effector, and blocker in cardiovascular diseases. Cytokine 2019;122:154076. https:\/\/doi.org\/10.1016\/j.cyto.2017.06.003.","DOI":"10.1016\/j.cyto.2017.06.003"},{"key":"2025080610581962440_j_jib-2024-0043_ref_070","unstructured":"Fu, H, Yu, J, Choi, ET, Wang, H, Yang, X. IL-35 inhibits ischemia\/hypoxia-induced angiogenesis, suggesting that this anti-inflammatory cytokine plays new roles in the recovery stage of angiogenesis. Circulation 2018;138:A12666."},{"key":"2025080610581962440_j_jib-2024-0043_ref_071","doi-asserted-by":"crossref","unstructured":"McCaffrey, TA, Toma, I, Yang, Z, Katz, R, Reiner, J, Mazhari, R, et al.. RNAseq profiling of blood from patients with coronary artery disease: signature of a T cell imbalance. J Mol Cellular Cardiol Plus 2023;4:100033. https:\/\/doi.org\/10.1016\/j.jmccpl.2023.100033.","DOI":"10.1016\/j.jmccpl.2023.100033"},{"key":"2025080610581962440_j_jib-2024-0043_ref_072","unstructured":"STRCP1 gene \u2013 GeneCards | STRCP1 pseudogene. https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=STRCP1 [Accessed 5 Mar 2025]."},{"key":"2025080610581962440_j_jib-2024-0043_ref_073","doi-asserted-by":"crossref","unstructured":"Nizamova, AR, Gimalova, GF, Khusnutdinova, EK. The role of DNA methylation in lung cancer (review). Res Results in Biomed 2023;9:293\u2013311. https:\/\/doi.org\/10.18413\/2658-6533-2023-9-3-0-1.","DOI":"10.18413\/2658-6533-2023-9-3-0-1"},{"key":"2025080610581962440_j_jib-2024-0043_ref_074","doi-asserted-by":"crossref","unstructured":"Wright, CJ, Smith, CW, Jiggins, CD. Alternative splicing as a source of phenotypic diversity. Nat Rev Genet 2022;23:697\u2013710. https:\/\/doi.org\/10.1038\/s41576-022-00514-4.","DOI":"10.1038\/s41576-022-00514-4"}],"container-title":["Journal of Integrative Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jib-2024-0043\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jib-2024-0043\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T10:59:50Z","timestamp":1754477990000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jib-2024-0043\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,1]]},"references-count":73,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,7,9]]},"published-print":{"date-parts":[[2025,8,7]]}},"alternative-id":["10.1515\/jib-2024-0043"],"URL":"https:\/\/doi.org\/10.1515\/jib-2024-0043","relation":{},"ISSN":["1613-4516"],"issn-type":[{"type":"electronic","value":"1613-4516"}],"subject":[],"published":{"date-parts":[[2025,3,1]]},"article-number":"20240043"}}