{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T11:53:26Z","timestamp":1773057206185,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2024,2,12]],"date-time":"2024-02-12T00:00:00Z","timestamp":1707696000000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Postoperative delirium is prevalent in older adults and has been shown to increase the risk of long\u2010term cognitive decline. Plasma biomarkers to identify the risk for postoperative delirium and the risk of Alzheimer's disease and related dementias are needed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This biomarker discovery case\u2013control study aimed to identify plasma biomarkers associated with postoperative delirium. Patients aged \u226565 years undergoing major elective noncardiac surgery were recruited. The preoperative plasma proteome was interrogated with SOMAmer\u2010based technology targeting 1433 biomarkers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In 40 patients (20 with vs. 20 without postoperative delirium), a preoperative panel of 12 biomarkers discriminated patients with postoperative delirium with an accuracy of 97.5%. The final model of five biomarkers delivered a leave\u2010one\u2010out cross\u2010validation accuracy of 80%. Represented biological pathways included lysosomal and immune response functions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In older patients who have undergone major surgery, plasma SOMAmer proteomics may provide a relatively non\u2010invasive benchmark to identify biomarkers associated with postoperative delirium.<\/jats:p><\/jats:sec>","DOI":"10.1002\/brb3.3422","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T01:13:59Z","timestamp":1707786839000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Plasma SOMAmer proteomics of postoperative delirium"],"prefix":"10.1002","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2008-2491","authenticated-orcid":false,"given":"Jacqueline M.","family":"Leung","sequence":"first","affiliation":[{"name":"Department of Anesthesia and Perioperative Care University of California San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julio C.","family":"Rojas","sequence":"additional","affiliation":[{"name":"Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences University of California San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura P.","family":"Sands","sequence":"additional","affiliation":[{"name":"Virginia Tech, Center for Gerontology  Blacksburg Virginia USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brandon","family":"Chan","sequence":"additional","affiliation":[{"name":"Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences University of California San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binita","family":"Rajbanshi","sequence":"additional","affiliation":[{"name":"Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences University of California San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Du","sequence":"additional","affiliation":[{"name":"Virginia Tech, Department of Statistics  Blacksburg Virginia USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pang","family":"Du","sequence":"additional","affiliation":[{"name":"Virginia Tech, Department of Statistics  Blacksburg Virginia USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"the Perioperative Medicine Research group","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,2,12]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/ejn.13778"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2020.08.061"},{"issue":"2","key":"e_1_2_10_4_1","first-page":"111","article-title":"The telephone interview for cognitive status","volume":"1","author":"Brandt J.","year":"1988","journal-title":"Neuropsychiatry, Neuropsychology, and Behavioral Neurology"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awz354"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsycho.2014.08.015"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000002684"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamapsychiatry.2016.3423"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1213\/ANE.0000000000005991"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOS504"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00674.x"},{"key":"e_1_2_10_13_1","first-page":"101","article-title":"A selective overview of variable selection in high dimensional feature space","volume":"20","author":"Fan J. 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