{"entity": "researcher", "timestamp": "2026-08-25T13:36:35.586Z", "family": "Jagodic", "given": "Maja", "initials": "M", "orcid": "0000-0003-0756-889X", "affiliations": ["Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/0e6419051c5746a8bf3fe7ce3d841a2a.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/0e6419051c5746a8bf3fe7ce3d841a2a"}}, "publications": [{"entity": "publication", "iuid": "c60feec2f790484cbd7e751dc206bc00", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/c60feec2f790484cbd7e751dc206bc00.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/c60feec2f790484cbd7e751dc206bc00"}}, "title": "Different epigenetic clocks reflect distinct pathophysiological features of multiple sclerosis.", "authors": [{"family": "Theodoropoulou", "given": "Eleftheria", "initials": "E"}, {"family": "Alfredsson", "given": "Lars", "initials": "L"}, {"family": "Piehl", "given": "Fredrik", "initials": "F"}, {"family": "Marabita", "given": "Francesco", "initials": "F", "orcid": "0000-0001-6180-0106", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1a4d3f450acf42eeadf9eff163be6730.json"}}, {"family": "Jagodic", "given": "Maja", "initials": "M", "orcid": "0000-0003-0756-889X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/0e6419051c5746a8bf3fe7ce3d841a2a.json"}}], "type": "journal article", "published": "2019-09-00", "journal": {"title": "Epigenomics", "issn": "1750-192X", "volume": "11", "issue": "12", "pages": "1429-1439", "issn-l": null}, "abstract": "Aim: Accumulating evidence links epigenetic age to diseases and age-related conditions, but little is known about its association with multiple sclerosis (MS). Materials & methods: We estimated epigenetic age acceleration measures using DNA methylation from blood or sorted cells of MS patients and controls. Results: In blood, sex (p = 4.39E-05) and MS (p = 2.99E-03) explained the variation in age acceleration, and isolated blood cell types showed different epigenetic age. Intrinsic epigenetic age acceleration and extrinsic epigenetic age acceleration were only associated with sex (p = 2.52E-03 and p = 1.58E-04, respectively), while PhenoAge Acceleration displayed positive association with MS (p = 3.40E-02). Conclusion: Different age acceleration measures are distinctly influenced by phenotypic factors, and they might measure separate pathophysiological aspects of MS. Data deposition: DNA methylation data can be accessed at Gene Expression Omnibus database under accession number GSE35069, GSE43976, GSE106648, GSE130029, GSE130030.", "doi": "10.2217/epi-2019-0102", "pmid": "31592692", "labels": [], "xrefs": [], "notes": [], "created": "2026-08-21T12:55:50.986Z", "modified": "2026-08-21T12:55:51.088Z"}]}