{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:12:58Z","timestamp":1787019178412,"version":"build-2736575974"},"reference-count":57,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Alzheimer's Association Clinician Scientist Fellowship Award","award":["AACSF-22-926130."],"award-info":[{"award-number":["AACSF-22-926130."]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>There is knowledge gap between the West and sub-Saharan Africa on dementia biomarkers. To bridge this, the Alzheimer's Disease Biomarker-Nigeria (ADIBIO-N) cohort was established.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study reported baseline data for Alzheimer's disease (AD) blood-based biomarkers in ADIBIO-N and the association of these biomarkers with measures of cognition. We also reported demographic differences in plasma biomarkers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Three hundred older adults were recruited. At baseline, blood samples were analyzed for amyloid-\u03b2 42\/40 (A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      ), phosphorylated tau 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). Cognition was measured at baseline and two follow-up visits.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Results showed significant sex differences for NfL. Significant relationships were found between GFAP, education, and composite cognition. The same is true for NfL and composite cognition. Significant negative associations were found between GFAP, memory, and language. A significant negative relationship was found between NfL and visuospatial cognition. Equally, significant positive associations were found for GFAP and age (0.26), and A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      ratio and age (0.17) while adjusting for sex and education. Using the area under the curve for receiver operating characteristics, GFAP demonstrated good discriminative ability (0.70) for classifying cognitively unimpaired from non-amnestic mild cognitive impairment. Finally, a reference value was established for all the biomarkers across three diagnostic categories.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We found a baseline significant association of GFAP and NfL with composite and domain-specific cognitions, respectively, but not on amyloid and p-tau, contrary to findings from outside Africa that have repeatedly shown an association of amyloid and p-tau with cognition.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251394384","type":"journal-article","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T18:12:03Z","timestamp":1763489523000},"page":"433-446","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Alzheimer's Disease Biomarker-Nigeria (ADIBIO-N): Cohort description and baseline data report"],"prefix":"10.1177","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7968-864X","authenticated-orcid":false,"given":"Valentine A","family":"Ucheagwu","sequence":"first","affiliation":[{"name":"Department of Psychology, Nnamdi Azikiwe University, Awka, Nigeria"},{"name":"Cognitive Research Lab, Nnamdi Azikiwe University, Awka, Nigeria"},{"name":"Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Morgan","sequence":"additional","affiliation":[{"name":"Translational Neuroscience, Michigan State University, Grand Rapids, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Savanah","family":"Rose","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiamaka","family":"Odilora","sequence":"additional","affiliation":[{"name":"Department of Psychology, Chukwuemeka Odumegwu Ojukwu University, Igbariam, Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chidimma","family":"Okafor","sequence":"additional","affiliation":[{"name":"Faculty of Pharmacy, Chukwuemeka Odumegwu Ojukwu University, Igbariam, Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruno","family":"Giordani","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"World Health Organization. WHO news room and fact sheets. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/dementia (March 31 2023)."},{"key":"e_1_3_3_3_2","volume-title":"From plan to impact VII: Dementia at crossroads","author":"Alzheimer\u2019s Disease International","year":"2024","unstructured":"Alzheimer\u2019s Disease International. From plan to impact VII: Dementia at crossroads. London: Alzheimer's Disease International, 2024."},{"key":"e_1_3_3_4_2","volume-title":"Dementia in sub-Saharan Africa: Challenges and opportunities","author":"Guerchet M","year":"2017","unstructured":"Guerchet M, Mayston R, Lloyd-Sherlock P, et al. Dementia in sub-Saharan Africa: Challenges and opportunities. London: Alzheimer\u2019s Disease International, 2017."},{"key":"e_1_3_3_5_2","article-title":"Prevalence of dementia in Nigeria: a systematic review of the evidence","volume":"3","author":"Adeloye D","year":"2019","unstructured":"Adeloye D, Auta A, Ezejimofor M, et al. Prevalence of dementia in Nigeria: a systematic review of the evidence. J Glob Health Rep 2019; 3: e2019014.","journal-title":"J Glob Health Rep"},{"key":"e_1_3_3_6_2","first-page":"85","article-title":"Prevalence and patterns of cognitive impairment in a sample of community-dwelling older people in Nigeria","volume":"12","author":"Ucheagwu V","year":"2023","unstructured":"Ucheagwu V, Giordani B. Prevalence and patterns of cognitive impairment in a sample of community-dwelling older people in Nigeria. JAR Life 2023; 12: 85\u201392.","journal-title":"JAR Life"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2018.02.018"},{"key":"e_1_3_3_8_2","unstructured":"Food and Drug Administration (FDA). 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