{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T13:05:12Z","timestamp":1793624712278,"version":"4.5.0"},"reference-count":42,"publisher":"American Medical Association (AMA)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi251217-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>The incidence and prevalence of clinical Alzheimer disease (AD) are higher among Black and Latinx older adults than among White older adults. Past studies that compared plasma AD biomarker concentrations among groups minoritized by their race and ethnicity yielded inconsistent findings; however, these efforts did not include population representative samples or statistical procedures to ensure population representation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To examine race and ethnicity differences in plasma AD biomarker concentrations and in the association between biomarkers and medical conditions in a US population-representative cohort of middle-aged adults (approximately 58 years of age).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>Data for this cohort study came from the High School and Beyond sample, a nationally representative cohort of high school sophomores and seniors who were recruited in 1980. In 2021, a subset of participants provided blood samples that were assayed for amyloid-\u03b2 (A\u03b242\/A\u03b240 ratio), phosphorylated tau-181 (pTau-181), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP). The analyses for the present study were conducted between July 2, 2024, and August 26, 2025, using data collected during the 2021 follow-up study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>Race and ethnicity groups and common medical conditions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>General linear models with Wald tests were used to compare biomarker concentrations between race and ethnicity groups and to test interactions with common medical conditions using unadjusted biomarker values and models adjusted to ensure population representation with inverse probability weighting and multiple imputation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The sample included 4340 adults (mean [SD; range] age, 58.1 [1.1; 56-63] years; 2400 [55.3%] women); 630 (14.4%) were Black, 900 (20.7%) were Latinx, and 2610 (60.1%) were White. Black participants had a lower A\u03b242\/A\u03b240 ratio (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u20130.002; 95% CI, \u20130.004 to \u20130.000;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.04) and lower NfL concentrations (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u20131.16; 95% CI, \u20132.15 to \u20130.16;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.02) than White participants, but these differences were attenuated when models were adjusted for population representation (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u20090.000; 95% CI, \u20130.002 to 0.002;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.85 for A\u03b2 ratio;\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u22120.88; 95% CI, \u20131.78 to 0.02;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.05 for NfL). Latinx participants had lower GFAP concentrations than White participants (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u22123.87; 95% CI, \u20137.30 to \u20130.45;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.03), but these differences were also attenuated when models were adjusted for population representation (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u20093.36; 95% CI, \u20133.13 to 9.86;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.31). In general, estimated biomarker means were similar between race and ethnicity groups. History of type 2 diabetes was associated with increased NfL concentration (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u20090.19; 95% CI, 0.07 to 0.30;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.04), and high body mass index was associated with lower A\u03b242\/A\u03b240 ratio (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u22120.13; 95% CI, \u22120.21 to \u22120.06;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.02); whereas high cholesterol was associated with lower pTau-181 concentration (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u22120.18; 95% CI, \u22120.25 to \u22120.10;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.01) and high BMI was associated with lower GFAP concentration (\n                      <jats:italic toggle=\"yes\">d<\/jats:italic>\n                      \u2009=\u2009\u22120.30; 95% CI \u22120.44 to \u22120.16;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u2009.01). No differences in associations between morbidities and AD biomarker concentrations were detected across race and ethnicity groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251217-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cohort of middle-aged adults, the use of appropriate statistical estimation to ensure population representation indicated that blood-based AD biomarker concentrations were not distinguishable among race and ethnicity groups. Common medical conditions were associated with plasma biomarker concentrations similarly across race and ethnicity groups. These results highlight the importance of considering population representation and comorbid conditions in AD research to ensure accurate characterization of disease pathophysiology and improve precision of diagnostic and treatment strategies for populations that experience AD disparities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.45046","type":"journal-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T16:30:37Z","timestamp":1763742637000},"page":"e2545046","source":"Crossref","is-referenced-by-count":10,"title":["Alzheimer Disease Blood Biomarker Concentrations Across Race and Ethnicity Groups in Middle-Aged Adults"],"prefix":"10.1001","volume":"8","author":[{"given":"Adam M.","family":"Brickman","sequence":"first","affiliation":[{"name":"Taub Institute for Research on Alzheimer\u2019s Disease & the Aging Brain, G.H. 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