{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T03:21:33Z","timestamp":1782703293589,"version":"3.54.5"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004410","name":"Scientific and Technological Research Council of Turkey","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004410","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","msard-journal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Multiple Sclerosis and Related Disorders"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.msard.2026.107087","type":"journal-article","created":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T16:19:24Z","timestamp":1771690764000},"page":"107087","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["ST8SIA4 as a candidate diagnostic biomarker: Blood\u2013cerebrospinal fluid signature in RRMS"],"prefix":"10.1016","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-5410","authenticated-orcid":false,"given":"Tuba","family":"Denk\u00e7eken","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1690-3170","authenticated-orcid":false,"given":"Elif","family":"Onur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.msard.2026.107087_bib0001","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.cell.2009.01.002","article-title":"MicroRNAs: target recognition and regulatory functions","volume":"136","author":"Bartel","year":"2009","journal-title":"Cell"},{"key":"10.1016\/j.msard.2026.107087_bib0002","unstructured":"Cinthia, F., Ramesh, M., 2023. Gene expressions data of Multiple Sclerosis stages, Clinical Isolated Syndrome and healthy controls."},{"issue":"3","key":"10.1016\/j.msard.2026.107087_bib0003","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1046\/j.1440-1673.2002.01058.x","article-title":"Multiple sclerosis in a radiosensitive family with low levels of the ATM protein","volume":"46","author":"Clarke","year":"2002","journal-title":"Australas. Radiol."},{"issue":"4","key":"10.1016\/j.msard.2026.107087_bib0004","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/bies.201400191","article-title":"Re-thinking miRNA-mRNA interactions: intertwining issues confound target discovery","volume":"37","author":"Cloonan","year":"2015","journal-title":"Bioessays"},{"issue":"8","key":"10.1016\/j.msard.2026.107087_bib0005","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0012132","article-title":"MicroRNAs miR-17 and miR-20a inhibit T cell activation genes and are under-expressed in MS whole blood","volume":"5","author":"Cox","year":"2010","journal-title":"PLoS. One"},{"issue":"1\u20132","key":"10.1016\/j.msard.2026.107087_bib0006","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.jneuroim.2010.06.009","article-title":"Altered miRNA expression in T regulatory cells in course of multiple sclerosis","volume":"226","author":"De Santis","year":"2010","journal-title":"J. Neuroimmunol."},{"issue":"4","key":"10.1016\/j.msard.2026.107087_bib0007","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1002\/ana.20600","article-title":"Defective ATM-p53-mediated apoptotic pathway in multiple sclerosis","volume":"58","author":"Deng","year":"2005","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.msard.2026.107087_bib0008","unstructured":"Dr Filippo Martinelli, B., 2011. mRNA profile in patients with multiple sclerosis versus healthy controls."},{"issue":"11","key":"10.1016\/j.msard.2026.107087_bib0009","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1139\/gen-2022-0040","article-title":"miR-181a-5p is a potential candidate epigenetic biomarker in multiple sclerosis","volume":"65","author":"Edgunlu","year":"2022","journal-title":"Genome"},{"issue":"9","key":"10.1016\/j.msard.2026.107087_bib0010","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1056\/NEJMra052130","article-title":"Multiple sclerosis\u2013the plaque and its pathogenesis","volume":"354","author":"Frohman","year":"2006","journal-title":"N. Engl. J. Med."},{"issue":"11","key":"10.1016\/j.msard.2026.107087_bib0011","doi-asserted-by":"crossref","first-page":"2134","DOI":"10.1093\/hmg\/ddq090","article-title":"The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis","volume":"19","author":"Gandhi","year":"2010","journal-title":"Hum. Mol. Genet."},{"issue":"22","key":"10.1016\/j.msard.2026.107087_bib0012","doi-asserted-by":"crossref","first-page":"2166","DOI":"10.1212\/WNL.0b013e3182759621","article-title":"Regulated microRNAs in the CSF of patients with multiple sclerosis: a case-control study","volume":"79","author":"Haghikia","year":"2012","journal-title":"Neurology."},{"issue":"4","key":"10.1016\/j.msard.2026.107087_bib0013","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1093\/bioinformatics\/btw660","article-title":"miRNAmeConverter: an R\/bioconductor package for translating mature miRNA names to different miRBase versions","volume":"33","author":"Haunsberger","year":"2017","journal-title":"Bioinformatics."},{"issue":"2","key":"10.1016\/j.msard.2026.107087_bib0014","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0090482","article-title":"Transcriptomic profile reveals gender-specific molecular mechanisms driving multiple sclerosis progression","volume":"9","author":"Irizar","year":"2014","journal-title":"PLoS. One"},{"issue":"Pt 12","key":"10.1016\/j.msard.2026.107087_bib0015","doi-asserted-by":"crossref","first-page":"3342","DOI":"10.1093\/brain\/awp300","article-title":"MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47","volume":"132","author":"Junker","year":"2009","journal-title":"Brain"},{"issue":"1","key":"10.1016\/j.msard.2026.107087_bib0016","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1186\/s13148-019-0678-1","article-title":"Neuronal methylome reveals CREB-associated neuro-axonal impairment in multiple sclerosis","volume":"11","author":"Kular","year":"2019","journal-title":"Clin. Epigenetics."},{"issue":"5","key":"10.1016\/j.msard.2026.107087_bib0017","doi-asserted-by":"crossref","first-page":"570","DOI":"10.4161\/cc.7.5.5547","article-title":"MicroRNAs in malignant progression","volume":"7","author":"Ma","year":"2008","journal-title":"Cell Cycle"},{"issue":"1","key":"10.1016\/j.msard.2026.107087_bib0018","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.neulet.2011.11.006","article-title":"MicroRNA and mRNA expression profile screening in multiple sclerosis patients to unravel novel pathogenic steps and identify potential biomarkers","volume":"508","author":"Martinelli-Boneschi","year":"2012","journal-title":"Neurosci. Lett."},{"key":"10.1016\/j.msard.2026.107087_bib0019","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1146\/annurev-pathol-011811-132509","article-title":"ATM and the molecular pathogenesis of ataxia telangiectasia","volume":"7","author":"McKinnon","year":"2012","journal-title":"Annu Rev. Pathol."},{"key":"10.1016\/j.msard.2026.107087_bib0020","doi-asserted-by":"crossref","DOI":"10.1038\/srep20126","article-title":"SncRNA (microRNA &snoRNA) opposite expression pattern found in multiple sclerosis relapse and remission is sex dependent","volume":"6","author":"Munoz-Culla","year":"2016","journal-title":"Sci. Rep."},{"issue":"8","key":"10.1016\/j.msard.2026.107087_bib0021","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1089\/cmb.2019.0412","article-title":"Evaluation of miRNA expression profiles in schizophrenia using principal-component analysis-based unsupervised feature extraction method","volume":"27","author":"Pala","year":"2020","journal-title":"J. Comput. Biol."},{"key":"10.1016\/j.msard.2026.107087_bib0022","unstructured":"Ramesh, M., Cinthia, F., 2012. Transcription profiling by array of peripheral blood mononuclear cells from male and female patients with relapsing remitting multiple sclerosis and healthy controls."},{"issue":"12","key":"10.1016\/j.msard.2026.107087_bib0023","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0014176","article-title":"A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis","volume":"5","author":"Riveros","year":"2010","journal-title":"PLoS. One"},{"issue":"17","key":"10.1016\/j.msard.2026.107087_bib0024","doi-asserted-by":"crossref","first-page":"e133","DOI":"10.1093\/nar\/gku631","article-title":"The multiMiR R package and database: integration of microRNA-target interactions along with their disease and drug associations","volume":"42","author":"Ru","year":"2014","journal-title":"Nucleic. Acids. Res."},{"issue":"11","key":"10.1016\/j.msard.2026.107087_bib0025","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1089\/gtmb.2021.0183","article-title":"miR-132-3p, miR-106b-5p, and miR-19b-3p are associated with brain-derived neurotrophic factor production and clinical activity in Multiple sclerosis: a pilot study","volume":"25","author":"Sagir","year":"2021","journal-title":"Genet. Test. Mol. Biomarkers"},{"issue":"11","key":"10.1016\/j.msard.2026.107087_bib0026","doi-asserted-by":"crossref","first-page":"2498","DOI":"10.1101\/gr.1239303","article-title":"Cytoscape: a software environment for integrated models of biomolecular interaction networks","volume":"13","author":"Shannon","year":"2003","journal-title":"Genome Res."},{"issue":"4","key":"10.1016\/j.msard.2026.107087_bib0027","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1038\/nrm3546","article-title":"The ATM protein kinase: regulating the cellular response to genotoxic stress, and more","volume":"14","author":"Shiloh","year":"2013","journal-title":"Nat. Rev. Mol. Cell Biol."},{"issue":"12","key":"10.1016\/j.msard.2026.107087_bib0028","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0314428","article-title":"Understanding the role of potential biomarkers in attenuating multiple sclerosis progression via multiomics and network-based approach","volume":"19","author":"Shriwash","year":"2024","journal-title":"PLoS. One"},{"issue":"1","key":"10.1016\/j.msard.2026.107087_bib0029","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.clim.2012.04.002","article-title":"Altered microRNA expression in B lymphocytes in multiple sclerosis: towards a better understanding of treatment effects","volume":"144","author":"Sievers","year":"2012","journal-title":"Clin. Immunol."},{"key":"10.1016\/j.msard.2026.107087_bib0030","unstructured":"Sundararajan, S., 2017. Peripheral blood gene expression profiling in multiple sclerosis."},{"issue":"D1","key":"10.1016\/j.msard.2026.107087_bib0031","doi-asserted-by":"crossref","first-page":"D607","DOI":"10.1093\/nar\/gky1131","article-title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets","volume":"47","author":"Szklarczyk","year":"2019","journal-title":"Nucleic. Acids. Res."},{"issue":"5","key":"10.1016\/j.msard.2026.107087_bib0032","doi-asserted-by":"crossref","DOI":"10.3390\/ijms17050696","article-title":"Identification of more feasible MicroRNA-mRNA interactions within multiple cancers using principal component analysis based unsupervised feature extraction","volume":"17","author":"Taguchi","year":"2016","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.msard.2026.107087_bib0033","doi-asserted-by":"crossref","DOI":"10.1038\/srep44016","article-title":"Principal components analysis based unsupervised feature extraction applied to gene expression analysis of blood from Dengue haemorrhagic fever patients","volume":"7","author":"Taguchi","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.msard.2026.107087_bib0034","series-title":"R: A language and Environment for Statistical Computing","first-page":"1","author":"Team","year":"2010"},{"issue":"34","key":"10.1016\/j.msard.2026.107087_bib0035","doi-asserted-by":"crossref","first-page":"8131","DOI":"10.1523\/JNEUROSCI.1147-17.2017","article-title":"Polysialylation at early stages of oligodendrocyte differentiation promotes myelin repair","volume":"37","author":"Werneburg","year":"2017","journal-title":"J. Neurosci."}],"container-title":["Multiple Sclerosis and Related Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211034826001239?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211034826001239?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T12:25:31Z","timestamp":1781526331000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2211034826001239"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":35,"alternative-id":["S2211034826001239"],"URL":"https:\/\/doi.org\/10.1016\/j.msard.2026.107087","relation":{},"ISSN":["2211-0348"],"issn-type":[{"value":"2211-0348","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ST8SIA4 as a candidate diagnostic biomarker: Blood\u2013cerebrospinal fluid signature in RRMS","name":"articletitle","label":"Article Title"},{"value":"Multiple Sclerosis and Related Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.msard.2026.107087","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"107087"}}