{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T22:38:34Z","timestamp":1791499114066,"version":"4.3.4"},"reference-count":52,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:00:00Z","timestamp":1773360000000},"content-version":"vor","delay-in-days":12,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG073362"],"award-info":[{"award-number":["R01AG073362"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG072470"],"award-info":[{"award-number":["R01AG072470"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alzheimer's &amp;amp; Dementia"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION<\/jats:title>\n                    <jats:p>Alzheimer's disease (AD) is characterized by the progressive accumulation of amyloid\u2010beta (A\u03b2) plaques, tau tangles, and neurodegeneration (ATN framework). While neuroimaging detects these changes, it is costly and not widely accessible. Blood\u2010based biomarkers offer scalable alternatives for early detection.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>We integrated plasma biomarkers, neuroimaging, and cognitive data from two large cohorts. We examined multivariate patterns of plasma A\u03b242\/A\u03b240, phosphorylated tau (p\u2010tau) 217, p\u2010tau181, neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) that predict amyloid, tau, neurodegeneration, and memory decline.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Specific plasma biomarker combinations predicted amyloid burden in the precuneus, tau in the entorhinal cortex, hippocampal atrophy, and memory decline. Models trained in one cohort accurately predicted outcomes in the other, confirming cross\u2010cohort generalizability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Distinct plasma signatures reflect underlying AD pathways, supporting the use of blood\u2010based biomarkers as cost\u2010effective, noninvasive tools for early detection, disease monitoring, and individualized risk profiling.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.71265","type":"journal-article","created":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T06:11:04Z","timestamp":1773468664000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multivariate patterns of plasma biomarkers predict region\u2010specific Alzheimer's pathology and cognitive decline across independent cohorts"],"prefix":"10.1002","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1621-3751","authenticated-orcid":false,"given":"Jafar","family":"Zamani","sequence":"first","affiliation":[{"name":"Computational Brain Research and Intervention (C\u2010Brain) Lab Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine  Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amirali","family":"Vahid","sequence":"additional","affiliation":[{"name":"Computational Brain Research and Intervention (C\u2010Brain) Lab Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine  Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward N","family":"Wilson","sequence":"additional","affiliation":[{"name":"Neurology &amp; Neurological Sciences Stanford University School of Medicine  Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. M. Hadi","family":"Hosseini","sequence":"additional","affiliation":[{"name":"Computational Brain Research and Intervention (C\u2010Brain) Lab Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine  Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"the Alzheimer's Disease Neuroimaging 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