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Association between Modifiable Risk Factors and Levels of Blood-Based Biomarkers of Alzheimer's and Related Dementias in the Look AHEAD Cohort.
Hayden, K M; Mielke, M M; Evans, J K; Neiberg, R; Molina-Henry, D; Culkin, M; Marcovina, S; Johnson, K C; Carmichael, O T; Rapp, S R; Sachs, B C; Ding, J; Shappell, H; Wagenknecht, L; Luchsinger, J A; Espeland, M A.
Afiliação
  • Hayden KM; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Mielke MM; Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Evans JK; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Neiberg R; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Molina-Henry D; Winston-Salem State University, Winston-Salem, NC, USA.
  • Culkin M; Alzheimer's Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, CA, USA.
  • Marcovina S; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Johnson KC; Medpace Reference Laboratories, Cincinnati, OH, USA.
  • Carmichael OT; Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
  • Rapp SR; Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
  • Sachs BC; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Ding J; Department of Psychiatry & Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Shappell H; Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Wagenknecht L; Sticht Division of Gerontology and Geriatric Medicine Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Luchsinger JA; Sticht Division of Gerontology and Geriatric Medicine Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Espeland MA; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
JAR Life ; 13: 1-21, 2024.
Article em En | MEDLINE | ID: mdl-38204926
ABSTRACT

Background:

Emerging evidence suggests that a number of factors can influence blood-based biomarker levels for Alzheimer's disease (AD) and Alzheimer's related dementias (ADRD). We examined the associations that demographic and clinical characteristics have with AD/ADRD blood-based biomarker levels in an observational continuation of a clinical trial cohort of older individuals with type 2 diabetes and overweight or obesity.

Methods:

Participants aged 45-76 years were randomized to a 10-year Intensive Lifestyle Intervention (ILI) or a diabetes support and education (DSE) condition. Stored baseline and end of intervention (8-13 years later) plasma samples were analyzed with the Quanterix Simoa HD-X Analyzer. Changes in Aß42, Aß40, Aß42/Aß40, ptau181, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were evaluated in relation to randomization status, demographic, and clinical characteristics.

Results:

In a sample of 779 participants from the Look AHEAD cohort, we found significant associations between blood-based biomarkers for AD/ADRD and 15 of 18 demographic (age, gender, race and ethnicity, education) and clinical characteristics (APOE, depression, alcohol use, smoking, body mass index, HbA1c, diabetes duration, diabetes treatment, estimated glomerular filtration rate, hypertension, and history of cardiovascular disease) .

Conclusions:

Blood-based biomarkers of AD/ADRD are influenced by common demographic and clinical characteristics. These factors should be considered carefully when interpreting these AD/ADRD blood biomarker values for clinical or research purposes.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article