* indicates required field

40056496
PMC12067485
The journal of nutrition, health & aging..
May 1, 2025
Michelle M Mielke1, Roger A Fielding5, Elizabeth J Atkinson3, Zaira Aversa7, Marissa J Schafer9, Steven R Cummings4, Marco Pahor6, Christiaan Leeuwenburgh2, Nathan K LeBrasseur8
Expand
  • 1
    Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States. Electronic address: mmielke@wakehealth.edu.
  • 2
    Department of Physiology and Aging, Institute on Aging, University of Florida, Gainesville, FL, United States. Electronic address: cleeuwen@ufl.edu.
  • 3
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States. Electronic address: atkinson@mayo.edu.
  • 4
    Departments of Medicine, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States; Research Institute, California Pacific Medical Center, San Francisco, CA, United States. Electronic address: steven.cummings@ucsf.edu.
  • 5
    Metabolism and Basic Biology of Aging Directive, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, United States. Electronic address: roger.fielding@tufts.edu.
  • 6
    Principle Investigator of the LIFE Study, Independent Scholar, Miami, FL, United States. Electronic address: mpahor@aol.com.
  • 7
    Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, United States; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States. Electronic address: aversa.zaira@mayo.edu.
  • 8
    Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, United States; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States. Electronic address: lebrasseur.nathan@mayo.edu.
  • 9
    Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, United States; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States. Electronic address: schafer.marissa@mayo.edu.
Cognitive Dysfunction, Mobility Limitation, Biomarkers, Male, Neuropsychological Tests, Dementia, Longitudinal Studies, Life Style, Aging, Cross-Sectional Studies, United States, Exercise, Humans, Female, Risk Factors, Aged, Aged, 80 and over, Cellular Senescence
P30 AG031679, P30 AG028740, U01 AG022376, R56 AG060907, P01 AG062413, U24 AG082930, R01 AG055529
Mielke MM, Fielding RA, Atkinson EJ, Aversa Z, Schafer MJ, Cummings SR, Pahor M, Leeuwenburgh C, LeBrasseur NK. Biomarkers of cellular senescence predict risk of mild cognitive impairment: Results from the lifestyle interventions for elders (LIFE) study. The journal of nutrition, health & aging.. 2025 May.

Abstract

OBJECTIVE: Cellular senescence, characterized by a marked and multifactorial senescence-associated secretory phenotype (SASP), is a potential unifying mechanism of aging and chronic disease. Most studies of the SASP have focused on frailty and other functional outcomes. Senescent cells have been detected in the brains of patients with Alzheimer's disease, but few studies have examined associations between plasma SASP markers and cognition. The objective of this study was to examine the cross-sectional and longitudinal associations between plasma SASP markers and mild cognitive impairment among older adults at high risk of mobility disability. METHODS: The Lifestyle Interventions for Elders (LIFE) study was a randomized controlled trial of a group-based physical activity program compared to a "successful aging" health education program to assess effects on major mobility disability that was conducted from February 2010 to December 2013. METHODS: Recruitment occurred at eight centers in the United States. METHODS: We included 1,373 participants enrolled in the study with baseline measures of 27 biomarkers of cellular senescence and adjudication of mild cognitive impairment (MCI) and dementia at baseline and 24-month follow-up. At baseline, participants were aged 70-80, sedentary, and at high risk of mobility disability. METHODS: A neuropsychological assessment was administered at baseline and 24 months post-randomization. At both timepoints, a clinical adjudication committee determined whether individuals had a diagnosis of cognitively normal, MCI, or dementia; individuals with dementia at baseline were excluded. The concentrations of 26 of the 27 plasma proteins identified as components of the SASP were measured with commercially available Luminex xMAP multiplex magnetic bead-based immunoassays analyzed on the MAGPIX System while 1 protein (Activin A) was measured using an enzyme-linked immunosorbent assay. RESULTS: Logistic regression models were used to examine the associations of each senescence biomarker, in quartiles, with baseline or incident MCI. Models stratified by clinical site and adjusted for intervention assignment, age, gender, race, and education. Among 1,373 participants, 117 (8.5%) were diagnosed with MCI at baseline. Increasing quartiles of myeloperoxidase (MPO) was associated with higher odds of MCI compared to quartile 1 (Q2: OR = 1.34, 95% CI: 0.74-2.45; Q3: OR = 1.43, 95% CI: 0.80-2.59; Q4: OR = 1.79, 95% CI: 1.02-3.22). Additionally, matrix metalloproteinase 1 (MMP1) quartiles 2-4 had lower odds of MCI compared to quartile 1 (Q2: OR = 0.61, 95% CI: 0.35-1.02; Q3: OR = 0.58, 95% CI: 0.33-0.98; Q4: OR = 0.64, 95% CI: 0.37-1.08). Of the 1,256 cognitively unimpaired participants at baseline, 141 (11.2%) were diagnosed with incident MCI or dementia at the 24-month follow-up. Compared to quartile 1, increasing baseline quartiles of MPO (Q2: OR = 1.10, 95% CI: 0.63-1.92; Q3: OR = 1.36, 95% CI: 0.80-2.33; Q4: OR = 1.92, 95% CI: 1.16-3.25) and matrix metalloproteinase 7 (MMP7, Q2: OR = 0.88, 95% CI: 0.47-1.62; Q3: OR = 1.46, 95% CI: 0.85-2.55; Q4: OR = 2.14, 95% CI: 1.28-3.65) were associated with increased odds of MCI or dementia at 24 months. CONCLUSIONS: Among older adults at high risk of mobility disability, high plasma MPO was cross-sectionally and, along with MMP7, longitudinally associated with increased odds of MCI and dementia. In contrast, high MMP1 was cross-sectionally associated with reduced odds of MCI.