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

被引:17
作者
Liu, Fangyu [1 ]
Austin, Thomas R. [2 ]
Schrack, Jennifer A. [1 ,3 ]
Chen, Jingsha [1 ]
Walston, Jeremy [4 ]
Mathias, Rasika A. [1 ,4 ]
Grams, Morgan [1 ,5 ]
Odden, Michelle C. [6 ]
Newman, Anne [7 ]
Psaty, Bruce M. [8 ,9 ,10 ]
Ramonfaur, Diego [11 ]
Shah, Amil M. [11 ]
Windham, B. Gwen [12 ]
Coresh, Josef [1 ]
Walker, Keenan A. [13 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA
[2] Univ Washington, Dept Epidemiol, Seattle, WA USA
[3] Johns Hopkins Univ, Ctr Aging & Hlth, Baltimore, MD USA
[4] Johns Hopkins Univ, Dept Med, Baltimore, MD USA
[5] New York Univ, Div Precis Med, Grossman Sch Med, Dept Med, New York, NY 10016 USA
[6] Stanford Univ, Sch Med, Dept Epidemiol & Populat Hlth, Stanford, CA USA
[7] Univ Pittsburgh, Dept Epidemiol, Pittsburgh, PA USA
[8] Univ Washington, Cardiovasc Hlth Res Unit, Dept Med, Seattle, WA 98101 USA
[9] Univ Washington, Cardiovasc Hlth Res Unit, Dept Epidemiol & Hlth Syst, Seattle, WA USA
[10] Univ Washington, Dept Populat Hlth, Cardiovasc Hlth Res Unit, Seattle, WA USA
[11] Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Med, Boston, MA 02115 USA
[12] Univ Mississippi, Med Ctr, MIND Ctr, Dept Med, Jackson, MS 39216 USA
[13] Natl Inst Aging, Lab Behav Neurosci, Baltimore, MD USA
关键词
aging; frailty; late life; proteomics; ATHEROSCLEROSIS RISK; ANGIOGENESIS; COMMUNITIES;
D O I
10.1111/acel.13975
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Proteomic 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 x 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; p(prefrailty )= 1 x 10(-15), p(frailty) = 2 x 10(-19)), transgelin (TAGLN; p(prefrailty) = 2 x 10(-12), p(frailty )= 6 x 10(-22)), and insulin-like growth factor-binding protein 2 (IGFBP2; p(prefrailty) = 5 x 10(-15), p(frailty) = 1 x 10(-15)) and with a lower level of growth hormone receptor (GHR, p(prefrailty) = 3 x 10(-16), p(frailty) = 2 x 10(-18)). Longitudinally, we identified 4 proteins associated with incident frailty (p < 1 x 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.
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相关论文
共 47 条
[1]   Growth Hormone and Aging: Updated Review [J].
Bartke, Andrzej .
WORLD JOURNAL OF MENS HEALTH, 2019, 37 (01) :19-30
[2]   A proteomic atlas of senescence-associated secretomes for aging biomarker development [J].
Basisty, Nathan ;
Kale, Abhijit ;
Jeon, Ok Hee ;
Kuehnemann, Chisaka ;
Payne, Therese ;
Rao, Chirag ;
Holtz, Anja ;
Shah, Samah ;
Sharma, Vagisha ;
Ferrucci, Luigi ;
Campisi, Judith ;
Schilling, Birgit .
PLOS BIOLOGY, 2020, 18 (01)
[3]   GDF15 Plasma Level Is Inversely Associated With Level of Physical Activity and Correlates With Markers of Inflammation and Muscle Weakness [J].
Conte, Maria ;
Martucci, Morena ;
Mosconi, Giovanni ;
Chiariello, Antonio ;
Cappuccilli, Maria ;
Totti, Valentina ;
Santoro, Aurelia ;
Franceschi, Claudio ;
Salvioli, Stefano .
FRONTIERS IN IMMUNOLOGY, 2020, 11
[4]   The Senescence-Associated Secretory Phenotype: The Dark Side of Tumor Suppression [J].
Coppe, Jean -Philippe ;
Desprez, Pierre-Yves ;
Krtolica, Ana ;
Campisi, Judith .
ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE, 2010, 5 :99-118
[5]   Proteomic profiling of fatty acid binding proteins in muscular dystrophy [J].
Dowling, Paul ;
Gargan, Stephen ;
Zweyer, Margit ;
Swandulla, Dieter ;
Ohlendieck, Kay .
EXPERT REVIEW OF PROTEOMICS, 2020, 17 (02) :137-148
[6]   Transgelin is a poor prognostic factor associated with advanced colorectal cancer (CRC) stage promoting tumor growth and migration in a TGFβ-dependent manner [J].
Elsafadi, Mona ;
Manikandan, Muthurangan ;
Almalki, Sami ;
Mahmood, Amer ;
Shinwari, Tasneem ;
Vishnubalaji, Radhakrishnan ;
Mobarak, Mohammad ;
Alfayez, Musaad ;
Aldahmash, Abdullah ;
Kassem, Moustapha ;
Alajez, Nehad M. .
CELL DEATH & DISEASE, 2020, 11 (05)
[7]   The physical frailty syndrome as a transition from homeostatic symphony to cacophony [J].
Fried, Linda P. ;
Cohen, Alan A. ;
Xue, Qian-Li ;
Walston, Jeremy ;
Bandeen-Roche, Karen ;
Varadhan, Ravi .
NATURE AGING, 2021, 1 (01) :36-46
[8]  
Fried Linda P., 1991, Annals of Epidemiology, V1, P263
[9]   Frailty in older adults: Evidence for a phenotype [J].
Fried, LP ;
Tangen, CM ;
Walston, J ;
Newman, AB ;
Hirsch, C ;
Gottdiener, J ;
Seeman, T ;
Tracy, R ;
Kop, WJ ;
Burke, G ;
McBurnie, MA .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2001, 56 (03) :M146-M156
[10]  
Fried LP, 2004, J GERONTOL A-BIOL, V59, P255