{"entity": "publication", "iuid": "f84df6ce9c014f6380db2e31f654b750", "timestamp": "2026-08-26T22:46:45.206Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/f84df6ce9c014f6380db2e31f654b750.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/f84df6ce9c014f6380db2e31f654b750"}}, "title": "A Multi-Cohort Metabolomics Analysis Discloses Sphingomyelin (32:1) Levels to be Inversely Related to Incident Ischemic Stroke.", "authors": [{"family": "Lind", "given": "Lars", "initials": "L"}, {"family": "Salihovic", "given": "Samira", "initials": "S"}, {"family": "Ganna", "given": "Andrea", "initials": "A"}, {"family": "Sundstr\u00f6m", "given": "Johan", "initials": "J"}, {"family": "Broeckling", "given": "Corey D", "initials": "CD"}, {"family": "Magnusson", "given": "Patrik K", "initials": "PK"}, {"family": "Pedersen", "given": "Nancy L", "initials": "NL"}, {"family": "Siegbahn", "given": "Agneta", "initials": "A"}, {"family": "Prenni", "given": "Jessica", "initials": "J"}, {"family": "Fall", "given": "Tove", "initials": "T"}, {"family": "Ingelsson", "given": "Erik", "initials": "E"}, {"family": "\u00c4rnl\u00f6v", "given": "Johan", "initials": "J"}], "type": "journal article", "published": "2020-02-00", "journal": {"title": "J Stroke Cerebrovasc Dis", "issn": "1532-8511", "volume": "29", "issue": "2", "pages": "104476", "issn-l": "1052-3057"}, "abstract": "To search for novel pathophysiological pathways related to ischemic stroke using a metabolomics approach.\n\nWe identified 204 metabolites in plasma by liquid chromatography mass spectrometry in 3 independent population-based samples (TwinGene, Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) and Uppsala Longitudinal Study of Adult Men). TwinGene was used for discovery and the other 2 samples were meta-analyzed as replication. In PIVUS, traditional cardiovascular (CV) risk factors, multiple markers of subclinical CV disease, markers of coagulation/fibrinolysis were measured and analyzed in relation to top metabolites.\n\nIn TwinGene (177 incident cases, median follow-up 4.3 years), levels of 28 metabolites were associated with incident ischemic stroke at a false discover rate (FDR) of 5%. In the replication (together 194 incident cases, follow-up 10 and 12 years, respectively), only sphingomyelin (32:1) was significantly associated (HR .69 per SD change, 95% CI .57-0.83, P value = .00014; FDR <5%) when adjusted for systolic blood pressure, diabetes, smoking, low density lipoportein (LDL)- and high density lipoprotein (HDL), body mass index (BMI) and atrial fibrillation. In PIVUS, sphingomyelin (32:1) levels were significantly related to both LDL- and HDL-cholesterol in a positive fashion, and to serum triglycerides, BMI and diabetes in a negative fashion. Furthermore, sphingomyelin (32:1) levels were related to vasodilation in the forearm resistance vessels, and inversely to leukocyte count (P < .0069 and .0026, respectively).\n\nAn inverse relationship between sphingomyelin (32:1) and incident ischemic stroke was identified, replicated, and characterized. A possible protective role for sphingomyelins in stroke development has to be further investigated in additional experimental and clinical studies.", "doi": "10.1016/j.jstrokecerebrovasdis.2019.104476", "pmid": "31806450", "labels": [], "xrefs": [{"db": "pii", "key": "S1052-3057(19)30559-2"}], "notes": [], "created": "2026-08-20T08:00:11.238Z", "modified": "2026-08-20T08:00:11.278Z"}