<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" 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="issn">2658-6533</journal-id><journal-title-group><journal-title>Research Results in Biomedicine</journal-title></journal-title-group><issn pub-type="epub">2658-6533</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2658-6533-2022-8-3-0-2</article-id><article-id pub-id-type="publisher-id">2805</article-id><article-categories><subj-group subj-group-type="heading"><subject>Genetics</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;&lt;em&gt;C9orf16&lt;/em&gt;&lt;em&gt;&amp;nbsp;(BBLN) &lt;/em&gt;gene, encoding a member of Hero proteins, is a novel marker in ischemic stroke risk&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;&lt;em&gt;C9orf16&lt;/em&gt;&lt;em&gt;&amp;nbsp;(BBLN) &lt;/em&gt;gene, encoding a member of Hero proteins, is a novel marker in ischemic stroke risk&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Kobzeva</surname><given-names>Ksenia A.</given-names></name><name xml:lang="en"><surname>Kobzeva</surname><given-names>Ksenia A.</given-names></name></name-alternatives><email>kseniya.kobzeva.0246@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Shilenok</surname><given-names>Irina V.</given-names></name><name xml:lang="en"><surname>Shilenok</surname><given-names>Irina V.</given-names></name></name-alternatives><email>irinka.zharikova.96@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Belykh</surname><given-names>Andrey E.</given-names></name><name xml:lang="en"><surname>Belykh</surname><given-names>Andrey E.</given-names></name></name-alternatives><email>and-white@yandex.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Gurtovoy</surname><given-names>Denis E.</given-names></name><name xml:lang="en"><surname>Gurtovoy</surname><given-names>Denis E.</given-names></name></name-alternatives><email>dne.ar@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Bobyleva</surname><given-names>Lyubov A.</given-names></name><name xml:lang="en"><surname>Bobyleva</surname><given-names>Lyubov A.</given-names></name></name-alternatives><email>labobuleva@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Krapiva</surname><given-names>Anna B.</given-names></name><name xml:lang="en"><surname>Krapiva</surname><given-names>Anna B.</given-names></name></name-alternatives><email>anny1999.10@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Stetskaya</surname><given-names>Tatiana A.</given-names></name><name xml:lang="en"><surname>Stetskaya</surname><given-names>Tatiana A.</given-names></name></name-alternatives><email>steckaya_tatiana@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Bykanova</surname><given-names>Marina A.</given-names></name><name xml:lang="en"><surname>Bykanova</surname><given-names>Marina A.</given-names></name></name-alternatives><email>marina.bickanova@yandex.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Mezhenskaya</surname><given-names>Anastasiya A.</given-names></name><name xml:lang="en"><surname>Mezhenskaya</surname><given-names>Anastasiya A.</given-names></name></name-alternatives><email>mezhenskaya_a.a@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Lysikova</surname><given-names>Ekaterina A.</given-names></name><name xml:lang="en"><surname>Lysikova</surname><given-names>Ekaterina A.</given-names></name></name-alternatives><email>lysikova_katerina@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Freidin</surname><given-names>Maxim B.</given-names></name><name xml:lang="en"><surname>Freidin</surname><given-names>Maxim B.</given-names></name></name-alternatives><email>m.freydin@qmul.ac.uk</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Bushueva</surname><given-names>Olga Yu.</given-names></name><name xml:lang="en"><surname>Bushueva</surname><given-names>Olga Yu.</given-names></name></name-alternatives><email>olga.bushueva@inbox.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2022</year></pub-date><volume>8</volume><issue>3</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/medicine/2022/3/Биомедисследования_3-2022-16-30._исправлен.pdf" /><abstract xml:lang="ru"><p>Background:&amp;nbsp;Ischemic stroke (IS)&amp;nbsp;is the leading cause of death and disability worldwide. Chaperone proteins protect brain cells from the ischemic damage by restoring the structures of damaged proteins. Chaperone C9orf16 (also known as BBLN) belongs to the class of heat-resistant obscure (HERO) proteins, characterized by the ability to stabilize various proteins, suppress neurotoxicity and reduce proteotoxic stress. In this regard, it may play a potentially significant role in the risk of development and clinical manifestations of IS. The aim of the study:&amp;nbsp;To investigate an association between a single nucleotide polymorphism rs2900262 in the gene encoding C9orf16 and predisposition to IS. Materials and methods:&amp;nbsp;A total of 897 patients with IS and 1140 healthy controls were recruited for the study. Genotyping was done using a probe-based genotyping assay. Multiple logistic regression analysis was performed to evaluate the associations of the rs2900262 genotypes with the risk of IS and ischemic events. Dominant, recessive and additive models of associations of genotypes were analyzed. Adjustment for sex, age, and smoking was done throughout. Benjamini-Hogberg false-discovery rate was used to correct for multiple comparisons. Results:&amp;nbsp;The rs2900262*T allele was found to be associated with the increased risk of IS exclusively in females (dominant model: OR=1.74, 95% CI=1.07-2.82, PFDR=0.042; additive model: OR=1.69, 95% CI=1.06-2.71, PFDR=0.042). Additional analysis showed that the rs2900262*T is associated with the increased risk of IS in smokers only (dominant model: OR=1.92, 95% CI=1.09-3.37, PFDR=0.042; additive model: OR=1.79, 95%CI=1.04-3.08, PFDR=0.042). Also, we demonstrated that C/T-T/T genotype carriers exhibit an earlier manifestation of IS (59.53&amp;plusmn;1.12 years) compared to the C/C genotype carriers (61.63&amp;plusmn;0.4 years); mean difference=-1.98; &amp;nbsp;95% CI=-3.61 &amp;ndash; -0.36; PFDR=0.026. Conclusion:&amp;nbsp;This study is the first in the world to demonstrate the possible contribution of the rs2900262 C9orf16 gene polymorphism to the risk of ischemic stroke.</p></abstract><trans-abstract xml:lang="en"><p>Background:&amp;nbsp;Ischemic stroke (IS)&amp;nbsp;is the leading cause of death and disability worldwide. Chaperone proteins protect brain cells from the ischemic damage by restoring the structures of damaged proteins. Chaperone C9orf16 (also known as BBLN) belongs to the class of heat-resistant obscure (HERO) proteins, characterized by the ability to stabilize various proteins, suppress neurotoxicity and reduce proteotoxic stress. In this regard, it may play a potentially significant role in the risk of development and clinical manifestations of IS. The aim of the study:&amp;nbsp;To investigate an association between a single nucleotide polymorphism rs2900262 in the gene encoding C9orf16 and predisposition to IS. Materials and methods:&amp;nbsp;A total of 897 patients with IS and 1140 healthy controls were recruited for the study. Genotyping was done using a probe-based genotyping assay. Multiple logistic regression analysis was performed to evaluate the associations of the rs2900262 genotypes with the risk of IS and ischemic events. Dominant, recessive and additive models of associations of genotypes were analyzed. Adjustment for sex, age, and smoking was done throughout. Benjamini-Hogberg false-discovery rate was used to correct for multiple comparisons. Results:&amp;nbsp;The rs2900262*T allele was found to be associated with the increased risk of IS exclusively in females (dominant model: OR=1.74, 95% CI=1.07-2.82, PFDR=0.042; additive model: OR=1.69, 95% CI=1.06-2.71, PFDR=0.042). Additional analysis showed that the rs2900262*T is associated with the increased risk of IS in smokers only (dominant model: OR=1.92, 95% CI=1.09-3.37, PFDR=0.042; additive model: OR=1.79, 95%CI=1.04-3.08, PFDR=0.042). Also, we demonstrated that C/T-T/T genotype carriers exhibit an earlier manifestation of IS (59.53&amp;plusmn;1.12 years) compared to the C/C genotype carriers (61.63&amp;plusmn;0.4 years); mean difference=-1.98; &amp;nbsp;95% CI=-3.61 &amp;ndash; -0.36; PFDR=0.026. Conclusion:&amp;nbsp;This study is the first in the world to demonstrate the possible contribution of the rs2900262 C9orf16 gene polymorphism to the risk of ischemic stroke.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ischemic stroke</kwd><kwd>Hero</kwd><kwd>heat-resistant obscure</kwd><kwd>chaperones</kwd><kwd>rs2900262</kwd><kwd>C9orf16</kwd><kwd>BBLN</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ischemic stroke</kwd><kwd>Hero</kwd><kwd>heat-resistant obscure</kwd><kwd>chaperones</kwd><kwd>rs2900262</kwd><kwd>C9orf16</kwd><kwd>BBLN</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Young MJ, Regenhardt RW, Leslie-Mazwi TM, et al. Disabling stroke in persons already with a disability: Ethical dimensions and directives. Neurology. 2020;94(7):306-310. DOI: https://doi.org/10.1212/WNL.0000000000008964</mixed-citation></ref><ref id="B2"><mixed-citation>Johansen, MC, Langton-Frost N, Gottesman RF. The role of cardiovascular disease in cognitive impairment.&amp;nbsp;Current Geriatrics Reports. 2020;9(1):1-9. DOI: https://doi.org/10.1007/s13670-020-00309-7</mixed-citation></ref><ref id="B3"><mixed-citation>Murphy SJX, Werring DJ. Stroke: causes and clinical features. Medicine. 2020;48(9):561-566. DOI: https://doi.org/10.1016/j.mpmed.2020.06.002</mixed-citation></ref><ref id="B4"><mixed-citation>Abraham G, Malik R, Yonova-Doing E, et al. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nature Communications. 2019;10:5819. DOI: https://doi.org/10.1038/s41467-019-13848-1</mixed-citation></ref><ref id="B5"><mixed-citation>Wang C, Du Z, Ye N, et al. Hyperlipidemia and hypertension have synergistic interaction on ischemic stroke: insights from a general population survey in China. BMC Cardiovascular Disorders. 2022;22:47. DOI: https://doi.org/10.1186/s12872-022-02491-2</mixed-citation></ref><ref id="B6"><mixed-citation>Appunni S, Rubens M, Ramamoorthy V, et al. Stroke Genomics: Current Knowledge, Clinical Applications and Future Possibilities. Brain Sciences. 2022;12(3):302. DOI: https://doi.org/10.3390/brainsci12030302</mixed-citation></ref><ref id="B7"><mixed-citation>Polonikov A, Bocharova I, Azarova I, et al. The Impact of Genetic Polymorphisms in Glutamate-Cysteine Ligase, a Key Enzyme of Glutathione Biosynthesis, on Ischemic Stroke Risk and Brain Infarct Size. Life. 2022;12(4):602. DOI: https://doi.org/10.3390/life12040602</mixed-citation></ref><ref id="B8"><mixed-citation>Bushueva O, Barysheva E, Markov A, et al. DNA Hypomethylation of the MPO Gene in Peripheral Blood Leukocytes Is Associated with Cerebral Stroke in the Acute Phase. Journal of Molecular Neuroscience. 2021;71:1914-1932. DOI: https://doi.org/10.1007/s12031-021-01840-8</mixed-citation></ref><ref id="B9"><mixed-citation>Cipolla MJ, Liebeskind DS, Chan SL. The importance of comorbidities in ischemic stroke: Impact of hypertension on the cerebral circulation. Journal of Cerebral Blood Flow and Metabolism. 2018;38(12):2129-2149. DOI: https://doi.org/10.1177/0271678X18800589</mixed-citation></ref><ref id="B10"><mixed-citation>Bushueva O, Solodilova M, Ivanov V, et al. Gender-specific protective effect of the -463G&amp;gt;A polymorphism of myeloperoxidase gene against the risk of essential hypertension in Russians. Journal of the American Society of Hypertension. 2015;9(11):902-906. DOI: https://doi.org/10.1016/j.jash.2015.08.006</mixed-citation></ref><ref id="B11"><mixed-citation>Moskalenko MI. The involvement of genes of matrix metalloproteinases in the development of arteial hypertension and its complication (review). Research Result. Medicine and Pharmacy. 2018;4(1):53-69. Russian. DOI: https://doi.org/10.18413/2313-8955-2018-4-1-53-69</mixed-citation></ref><ref id="B12"><mixed-citation>Song X, Zhao X, Liebeskind DS, et al. Incremental value of plaque enhancement in predicting stroke recurrence in symptomatic intracranial atherosclerosis. Neuroradiology. 2020;62:1123-1131. DOI: https://doi.org/10.1007/s00234-020-02418-8</mixed-citation></ref><ref id="B13"><mixed-citation>Sorokin A, Kotani K, Bushueva O, et al. The cardio-ankle vascular index and ankle-brachial index in young russians. Journal of Atherosclerosis and Thrombosis. 2015;22(2):211-218. DOI: https://doi.org/10.5551/jat.26104</mixed-citation></ref><ref id="B14"><mixed-citation>Nimjee SM, Akhter AS, Zakeri A, et al. Sex differences in thrombosis as it affects acute ischemic stroke. Neurobiology of Disease. 2022;165:105647. DOI: https://doi.org/10.1016/j.nbd.2022.105647</mixed-citation></ref><ref id="B15"><mixed-citation>Dong S, Maniar S, Manole MD, et al. Cerebral Hypoperfusion and Other Shared Brain Pathologies in Ischemic Stroke and Alzheimer&amp;#39;s Disease. Translational Stroke Research. 2018;9:238-250. DOI: https://doi.org/10.1007/s12975-017-0570-2</mixed-citation></ref><ref id="B16"><mixed-citation>Datta A, Sarmah D, Mounica L, et al. Cell Death Pathways in Ischemic Stroke and Targeted Pharmacotherapy. Translational Stroke Research. 2020;11:1185-1202. DOI: https://doi.org/10.1007/s12975-020-00806-z</mixed-citation></ref><ref id="B17"><mixed-citation>Demyanenko S, Nikul V, Rodkin S, et al. Exogenous recombinant Hsp70 mediates neuroprotection after photothrombotic stroke. Cell Stress and Chaperones. 2021;26:103-114. DOI: https://doi.org/10.1007/s12192-020-01159-0</mixed-citation></ref><ref id="B18"><mixed-citation>Tsuboyama K, Osaki T, Matsuura-Suzuki E, et al. A widespread family of heat-resistant obscure (Hero) proteins protect against protein instability and aggregation. PLoS Biology. 2020;18(3):e3000632. DOI: https://doi.org/10.1371/journal.pbio.3000632</mixed-citation></ref><ref id="B19"><mixed-citation>Polonikov A, Rymarova L, Klyosova E, et al. Matrix metalloproteinases as target genes for gene regulatory networks driving molecular and cellular pathways related to a multistep pathogenesis of cerebrovascular disease. Journal of Cellular Biochemistry. 2019;120(10):16467-16482. DOI: https://doi.org/10.1002/jcb.28815</mixed-citation></ref><ref id="B20"><mixed-citation>Bushueva OY, Stetskaya TA, Polonikov AV, et al. The relationship between polymorphism 640A&amp;gt;G of the CYBA gene with the risk of ischemic stroke in the population of the Central Russia. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2015;115(9 Pt 2):38-41. Russian. DOI: https://doi.org/10.17116/jnevro20151159238-41</mixed-citation></ref><ref id="B21"><mixed-citation>Polonikov A, Vialykh E, Vasil&amp;#39;eva O, et al. Genetic variation in glutathione S-transferase genes and risk of nonfatal cerebral stroke in patients suffering from essential hypertension. Journal of Molecular Neuroscience. 2012;47(3):511-3. DOI: https://doi.org/10.1007/s12031-012-9764-y</mixed-citation></ref><ref id="B22"><mixed-citation>Vialykh EK, Solidolova MA, Bushueva OIu, et al. Catalase gene polymorphism is associated with increased risk of cerebral stroke in hypertensive patients. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2012;112(8 Pt 2):3-7. Russian.</mixed-citation></ref><ref id="B23"><mixed-citation>Bushueva OY, Bulgakova IV, Ivanov VP, et al. Association of Flavin Monooxygenase Gene E158K Polymorphism with Chronic Heart Disease Risk. Bulletin of Experimental Biology and Medicine. 2015;159(6):776-778. DOI: https://doi.org/10.1007/s10517-015-3073-8</mixed-citation></ref><ref id="B24"><mixed-citation>Bushueva OYu. Single nucleotide polymorphisms in genes encoding xenobiotic metabolizing enzymes are associated with predisposition to arterial hypertension. Research Results in Biomedicine. 2020;6(4):447-456. DOI: https://doi.org/10.18413/2658-6533-2020-6-4-0-1</mixed-citation></ref><ref id="B25"><mixed-citation>Koressaar T, Remm M. Enhancements and modifications of primer design program Primer3. Bioinformatics. 2007;23(10):1289-1291. DOI: https://doi.org/10.1093/bioinformatics/btm091</mixed-citation></ref><ref id="B26"><mixed-citation>Sol&amp;eacute; X, Guin&amp;oacute; E, Valls J, et al. SNPStats: a web tool for the analysis of association studies. Bioinformatics. 2006;22(15):1928-1929. DOI: https://doi.org/10.1093/bioinformatics/btl268</mixed-citation></ref><ref id="B27"><mixed-citation>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 Research. 2018;46(D1):D1111-D1116. DOI: https://doi.org/10.1093/nar/gkx1101</mixed-citation></ref><ref id="B28"><mixed-citation>Dong S, Boyle AP. Predicting functional variants in enhancer and promoter elements using RegulomeDB. Human Mutation. 2019;40(9):1292-1298. DOI: https://doi.org/10.1002/humu.23791</mixed-citation></ref><ref id="B29"><mixed-citation>GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science. 2020;369(6509):1318-1330. DOI: https://doi.org/10.1126/science.aaz1776</mixed-citation></ref><ref id="B30"><mixed-citation>V&amp;otilde;sa U, Claringbould A, Westra HJ, et al. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nature Genetics. 2021;53:1300-1310. DOI: https://doi.org/10.1038/s41588-021-00913-z</mixed-citation></ref><ref id="B31"><mixed-citation>Ward LD, Kellis M. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. Nucleic Acids Research. 2016;44(D1):D877-81. DOI: https://doi.org/10.1093/nar/gkv1340</mixed-citation></ref><ref id="B32"><mixed-citation>Shin S, Hudson R, Harrison C, et al. atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding. Bioinformatics. 2019;35(15):2657-2659. DOI: https://doi.org/10.1093/bioinformatics/bty1010</mixed-citation></ref><ref id="B33"><mixed-citation>Xie Z, Bailey A, Kuleshov MV, et al. Gene Set Knowledge Discovery with Enrichr. Current Protocols. 2021;1(3):e90. DOI: https://doi.org/10.1002/cpz1.90</mixed-citation></ref><ref id="B34"><mixed-citation>Jafari M, Ansari-Pour N. Why, When and How to Adjust Your P Values? Cell Journal. 2019;20(4):604-607. DOI: https://doi.org/10.22074/cellj.2019.5992</mixed-citation></ref><ref id="B35"><mixed-citation>Davis AP, Grondin CJ, Johnson RJ, et al. Comparative Toxicogenomics Database (CTD): update 2021. Nucleic Acids Research. 2021;49(D1):D1138-D1143. DOI: https://doi.org/10.1093/nar/gkaa891</mixed-citation></ref><ref id="B36"><mixed-citation>Crawford KM, Gallego-Fabrega C, Kourkoulis C, et al. Cerebrovascular Disease Knowledge Portal: An Open-Access Data Resource to Accelerate Genomic Discoveries in Stroke. Stroke. 2018;49(2):470-475. DOI: https://doi.org/10.1161/STROKEAHA.117.018922Stroke</mixed-citation></ref><ref id="B37"><mixed-citation>Pantaleo E, Monaco A, Amoroso N, et al. A Machine Learning Approach to Parkinson&amp;#39;s Disease Blood Transcriptomics. Genes. 2022;13(5):727. DOI: https://doi.org/10.3390/genes13050727</mixed-citation></ref><ref id="B38"><mixed-citation>Smith LC, Moreno S, Robertson L, et al. Transforming growth factor beta1 targets estrogen receptor signaling in bronchial epithelial cells. Respiratory Research. 2018;19:160. DOI: https://doi.org/10.1186/s12931-018-0861-5</mixed-citation></ref><ref id="B39"><mixed-citation>Howe CG, Zhou M, Wang X, et al. Associations between Maternal Tobacco Smoke Exposure and the Cord Blood CD4+ DNA Methylome. Environmental Health Perspectives. 2019;127(4):47009. DOI: https://doi.org/10.1289/EHP3398</mixed-citation></ref><ref id="B40"><mixed-citation>Hu YC, Yang ZH, Zhong KJ, et al. Alteration of transcriptional profile in human bronchial epithelial cells induced by cigarette smoke condensate. Toxicology Letters. 2009;190(1):23-31. DOI: https://doi.org/10.1016/j.toxlet.2009.06.860</mixed-citation></ref><ref id="B41"><mixed-citation>Jennen DGJ, Magkoufopoulou C, Ketelslegers HB, et al. Comparison of HepG2 and HepaRG by whole-genome gene expression analysis for the purpose of chemical hazard identification. Toxicological Sciences. 2010;115(1):66-79. DOI: https://doi.org/10.1093/toxsci/kfq026</mixed-citation></ref><ref id="B42"><mixed-citation>Jiang CL, He SW, Zhang YD, et al. Air pollution and DNA methylation alterations in lung cancer: A systematic and comparative study. Oncotarget. 2017;8(1):1369-1391. DOI: https://doi.org/10.18632/oncotarget.13622</mixed-citation></ref></ref-list></back></article>