{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:25:31Z","timestamp":1777397131173,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T00:00:00Z","timestamp":1741910400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG058822"],"award-info":[{"award-number":["R01AG058822"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000738","name":"U.S. Department of Veterans Affairs","doi-asserted-by":"publisher","award":["B9254-C"],"award-info":[{"award-number":["B9254-C"]}],"id":[{"id":"10.13039\/100000738","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Identifying biomarkers of Alzheimer's disease (AD) is critical for early diagnosis and AD risk assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      We examined the hypothesis that the plasma amyloid-\u03b2 42 and 40 (A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      ) ratio has a curvilinear relationship with age among individuals who are at higher genetic risk for AD.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This study investigated the relationship between plasma amyloid-\u03b2 42 and 40 (A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      ) ratio and age in 315 men and women Veterans, including those at genetic risk for AD. Hierarchical regression models investigated linear and nonlinear relationships between age, genetic risk, and A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We observed a curvilinear relationship between age and A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      in individuals with higher genetic risk, characterized by an increase in the A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      during midlife followed by a decrease in older age.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      These findings highlight distinct patterns in A\u03b2 metabolism among genetically predisposed individuals, suggesting that early metabolic shifts may play a role in the progression of AD. Understanding these nuanced changes is essential for refining the use of A\u03b2\n                      <jats:sub>42:40<\/jats:sub>\n                      ratio as a biomarker, potentially leading to more accurate risk stratification and earlier intervention strategies in AD.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251321183","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T07:24:44Z","timestamp":1741937084000},"page":"1006-1012","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of Alzheimer's disease genetic risk with age-dependent changes in plasma amyloid-\u03b2\n                    <sub>42:40<\/sub>\n                    in Veterans"],"prefix":"10.1177","volume":"104","author":[{"given":"Meghan E","family":"Pierce","sequence":"first","affiliation":[{"name":"National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA"},{"name":"Department of Psychiatry, Boston University Chobanian &amp; Avedisian School of Medicine, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Logue","sequence":"additional","affiliation":[{"name":"National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA"},{"name":"Department of Psychiatry, Boston University Chobanian &amp; Avedisian School of Medicine, Boston, MA, USA"},{"name":"Biomedical Genetics, Boston University Chobanian &amp; Avedisian School of Medicine, Boston, MA, USA"},{"name":"Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Sherva","sequence":"additional","affiliation":[{"name":"Biomedical Genetics, Boston University Chobanian &amp; Avedisian School of Medicine, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Miller","sequence":"additional","affiliation":[{"name":"National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA"},{"name":"Department of Psychiatry, Boston University Chobanian &amp; Avedisian School of Medicine, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bertrand R","family":"Huber","sequence":"additional","affiliation":[{"name":"National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA"},{"name":"Department of Neurology, Boston University School of Medicine, Boston, MA, USA"},{"name":"Department of Pathology and Laboratory Medicine, VA Boston Healthcare System, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6078-7066","authenticated-orcid":false,"given":"William","family":"Milberg","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Harvard Medical School, Boston, MA, USA"},{"name":"Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, Boston, MA, USA"},{"name":"Geriatric Research, Education and Clinical Center (GRECC), VA Boston, Healthcare System, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5157-0666","authenticated-orcid":false,"given":"Jasmeet P","family":"Hayes","sequence":"additional","affiliation":[{"name":"Department of Psychology, The Ohio State University, &amp; 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