Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis

Author:

Liu Fangyu1ORCID,Austin Thomas R.2,Schrack Jennifer A.13,Chen Jingsha1,Walston Jeremy4,Mathias Rasika A.14,Grams Morgan15,Odden Michelle C.6ORCID,Newman Anne7,Psaty Bruce M.8,Ramonfaur Diego9,Shah Amil M.9,Windham B. Gwen10,Coresh Josef1,Walker Keenan A.11

Affiliation:

1. Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

2. Department of Epidemiology University of Washington Seattle Washington USA

3. Center on Aging and Health Johns Hopkins University Baltimore Maryland USA

4. Department of Medicine Johns Hopkins University Baltimore Maryland USA

5. Division of Precision Medicine New York University Grossman School of Medicine New York New York USA

6. Department of Epidemiology and Population Health Stanford University School of Medicine Stanford California USA

7. Department of Epidemiology University of Pittsburgh Pittsburgh Pennsylvania USA

8. Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health University of Washington Seattle Washington USA

9. Brigham and Women's Hospital, Harvard Medical School, Cardiovascular Medicine Boston Massachusetts USA

10. Department of Medicine, MIND Center University of Mississippi Medical Center Jackson Mississippi USA

11. Laboratory of Behavioral Neuroscience National Institute on Aging Baltimore Maryland USA

Abstract

AbstractProteomic approaches have unique advantages in the identification of biological pathways that influence physical frailty, a multifactorial geriatric syndrome predictive of adverse health outcomes in older adults. To date, proteomic studies of frailty are scarce, and few evaluated prefrailty as a separate state or examined predictors of incident frailty. Using plasma proteins measured by 4955 SOMAmers in the Atherosclerosis Risk in Community study, we identified 134 and 179 proteins cross‐sectionally associated with prefrailty and frailty, respectively, after Bonferroni correction (p < 1 × 10−5) among 3838 older adults aged ≥65 years, adjusting for demographic and physiologic factors and chronic diseases. Among them, 23 (17%) and 82 (46%) were replicated in the Cardiovascular Health Study using the same models (FDR p < 0.05). Notably, higher odds of prefrailty and frailty were observed with higher levels of growth differentiation factor 15 (GDF15; pprefrailty = 1 × 10−15, pfrailty = 2 × 10−19), transgelin (TAGLN; pprefrailty = 2 × 10−12, pfrailty = 6 × 10−22), and insulin‐like growth factor‐binding protein 2 (IGFBP2; pprefrailty = 5 × 10−15, pfrailty = 1 × 10−15) and with a lower level of growth hormone receptor (GHR, pprefrailty = 3 × 10−16, pfrailty = 2 × 10−18). Longitudinally, we identified 4 proteins associated with incident frailty (p < 1 × 10−5). Higher levels of triggering receptor expressed on myeloid cells 1 (TREM1), TAGLN, and heart and adipocyte fatty‐acid binding proteins predicted incident frailty. Differentially regulated proteins were enriched in pathways and upstream regulators related to lipid metabolism, angiogenesis, inflammation, and cell senescence. Our findings provide a set of plasma proteins and biological mechanisms that were dysregulated in both the prodromal and the clinical stage of frailty, offering new insights into frailty etiology and targets for intervention.

Funder

National Institute on Aging

National Heart, Lung, and Blood Institute

National Institutes of Health

Publisher

Wiley

Subject

Cell Biology,Aging

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