{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T18:34:52Z","timestamp":1790879692699,"version":"4.1.0"},"reference-count":31,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000056","name":"National Institute of Nursing Research","doi-asserted-by":"publisher","award":["T32NR016913"],"award-info":[{"award-number":["T32NR016913"]}],"id":[{"id":"10.13039\/100000056","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["1R01NS07791"],"award-info":[{"award-number":["1R01NS07791"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Biological Research For Nursing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To compare differences using a metabolomics approach in older adults (\u226555) with mild traumatic brain injury (mTBI) to control adults and to identify a signature profile related to functional outcome 3\u20136 months post-injury.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We performed metabolomics analysis using LC-MS of untargeted aqueous metabolites on plasma samples taken from a parent prospective cohort study. Older adults with mTBI (n = 14) were purposively sampled to include participants with worsening (decrease in GOS-E of at least 1 level) and improved (increase in GOS-E of at least 1 level) outcomes from 3 to 6 months. The data were analyzed using PLS-DA with VIP scores, Random Forest, and spline fit between the different groups as a function of time for exposure on outcome.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Separation of comparisons were seen at 24 hours (negative ionization) and 6 months (positive ionization), revealing two metabolites of interest, phosphatidylcholine and phosphatidylethanolamine. Phosphatidylcholine levels were higher in those with mTBI compared to controls ( p &lt; 0.05), while lower concentration of phosphatidylethanolamine was seen in those with mTBI compared to controls ( p &lt; 0.05). Phosphatidylinositol-3,4,5-trisphosphate was significant in those with mTBI compared to controls (n = 10) based on improved (n = 6) versus worsened (n = 8) outcomes from 3 to 6 months.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>We identified plasma metabolites related to phospholipid metabolism in older adults following mTBI and associated with long-term functional outcome. These findings may underly pathological mechanisms of outcome differences in older adults who experience mTBI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1099800420942889","type":"journal-article","created":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T06:47:13Z","timestamp":1595400433000},"page":"127-135","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Plasma Phospholipid Metabolites Associate With Functional Outcomes Following Mild Traumatic Brain Injury in Older Adults"],"prefix":"10.1177","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1882-1419","authenticated-orcid":false,"given":"Sarah R.","family":"Martha","sequence":"first","affiliation":[{"name":"Omics and Symptom Science Training Program in Biobehavioral Nursing and Health Informatics Department, School of Nursing, University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuan-Fu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yvonne","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5472-478X","authenticated-orcid":false,"given":"Hilaire J.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Biobehavioral Nursing and Health Informatics Department, School of Nursing and Harborview Injury Prevention and Research Center, University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"bibr1-1099800420942889","doi-asserted-by":"crossref","unstructured":"Abdullah L., Evans J. 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