Skip to main navigation Skip to search Skip to main content

LONGITUDINAL CHANGES IN PROTEOMIC BIOMARKERS IN ALZHEIMER’S DISEASE AND CARDIOVASCULAR DISEASE

  • Laurie A. Theeke
  • , Ying Liu
  • , Silas Wang
  • , R. Osvaldo Navia
  • , Danqing Xiao
  • , Chun Xu
  • , Kesheng Wang
  • The George Washington University
  • Carnegie Mellon University
  • Regis College, Weston
  • West Virginia University School of Medicine Morgantown
  • McLean Hospital
  • MCPHS University
  • Department of Health and Biomedical Sciences, College of Health Affairs, University of Texas Rio Grande Valley, Brownsville, TX, USA.
  • The University of Texas Rio Grande Valley
  • East Tennessee State University
  • University of South Carolina College of Nursing
  • WVU Health Science Center
  • West Virginia University School of Nursing
  • East Tennessee State University
  • Peking University
  • Vice President of Health Promotion and Wellness and Dean and Endowed Professor

Research output: Contribution to journalArticlepeer-review

Abstract

Alzheimer’s disease (AD) and cardiovascular diseases (CVDs) commonly co-occur in older adults. This correlation prompts an investigation into the potential shared risk factors linking AD and CVDs, and the potential direct causative role of cardiovascular risk factors in AD. The cohort comprised 566 older adults including 111 individuals with AD, 58 without AD, 383 with mild cognitive impairment (MCI), 410 with CVD and 156 without CVD from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The multivariable linear mixed model (LMM) was used to investigate the associations of AD and CVD on longitudinal changes of 146 proteomic biomarkers (measured at baseline and 12-month follow-up), while adjusted for age, gender, education, racial groups, and APOE-ε4 alleles. The LMM showed that AD and CVD were associated with longitudinal changes in 48 and 46 proteomic biomarkers, respectively (p< 0.05). Interestingly, both AD and CVD were associated with longitudinal changes in 14 proteomic biomarkers (A1Micro, ApoH, B2M, BNP, Complement C3, Cystatin C, KIM1, NGAL, PPP, TIM1, THP, TFF3, TM, and VEGF). Furthermore, the single biggest risk gene for sporadic AD, APOE-ε4 was associated with 22 proteomic biomarkers. Moreover, MCI and CVD were associated with 13 proteomic biomarkers (A1Micro, ApoD, AXL, BNP, Calcitonin, CD40, C-peptide, pM, PPP, THP, TNFR2, TTR, and VEGF), while MCI, CVD and APOE-ε4 were associated with four proteomic biomarkers (A1Micro, Calcitonin, THP, and TNFR2). This study provides valuable insights into the shared and distinct pathophysiological mechanisms at play, offering a stepping-stone towards a deeper comprehension of the interrelationship between AD and CVDs.
Original languageAmerican English
Pages (from-to)1158
Number of pages1
JournalInnovation in Aging
Volume7
Issue numberSupplement 1
DOIs
StatePublished - Dec 21 2023

Cite this