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

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 sep...

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Autores principales: Liu, Fangyu, Austin, Thomas R., Schrack, Jennifer A., Chen, Jingsha, Walston, Jeremy, Mathias, Rasika A., Grams, Morgan, Odden, Michelle C., Newman, Anne, Psaty, Bruce M., Ramonfaur, Diego, Shah, Amil M., Windham, B. Gwen, Coresh, Josef, Walker, Keenan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652348/
https://www.ncbi.nlm.nih.gov/pubmed/37697678
http://dx.doi.org/10.1111/acel.13975
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author Liu, Fangyu
Austin, Thomas R.
Schrack, Jennifer A.
Chen, Jingsha
Walston, Jeremy
Mathias, Rasika A.
Grams, Morgan
Odden, Michelle C.
Newman, Anne
Psaty, Bruce M.
Ramonfaur, Diego
Shah, Amil M.
Windham, B. Gwen
Coresh, Josef
Walker, Keenan A.
author_facet Liu, Fangyu
Austin, Thomas R.
Schrack, Jennifer A.
Chen, Jingsha
Walston, Jeremy
Mathias, Rasika A.
Grams, Morgan
Odden, Michelle C.
Newman, Anne
Psaty, Bruce M.
Ramonfaur, Diego
Shah, Amil M.
Windham, B. Gwen
Coresh, Josef
Walker, Keenan A.
author_sort Liu, Fangyu
collection PubMed
description 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 × 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 × 10(−15), p (frailty) = 2 × 10(−19)), transgelin (TAGLN; p (prefrailty) = 2 × 10(−12), p (frailty) = 6 × 10(−22)), and insulin‐like growth factor‐binding protein 2 (IGFBP2; p (prefrailty) = 5 × 10(−15), p (frailty) = 1 × 10(−15)) and with a lower level of growth hormone receptor (GHR, p (prefrailty) = 3 × 10(−16), p (frailty) = 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.
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spelling pubmed-106523482023-09-11 Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis Liu, Fangyu Austin, Thomas R. Schrack, Jennifer A. Chen, Jingsha Walston, Jeremy Mathias, Rasika A. Grams, Morgan Odden, Michelle C. Newman, Anne Psaty, Bruce M. Ramonfaur, Diego Shah, Amil M. Windham, B. Gwen Coresh, Josef Walker, Keenan A. Aging Cell Research Articles 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 × 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 × 10(−15), p (frailty) = 2 × 10(−19)), transgelin (TAGLN; p (prefrailty) = 2 × 10(−12), p (frailty) = 6 × 10(−22)), and insulin‐like growth factor‐binding protein 2 (IGFBP2; p (prefrailty) = 5 × 10(−15), p (frailty) = 1 × 10(−15)) and with a lower level of growth hormone receptor (GHR, p (prefrailty) = 3 × 10(−16), p (frailty) = 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. John Wiley and Sons Inc. 2023-09-11 /pmc/articles/PMC10652348/ /pubmed/37697678 http://dx.doi.org/10.1111/acel.13975 Text en © 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Liu, Fangyu
Austin, Thomas R.
Schrack, Jennifer A.
Chen, Jingsha
Walston, Jeremy
Mathias, Rasika A.
Grams, Morgan
Odden, Michelle C.
Newman, Anne
Psaty, Bruce M.
Ramonfaur, Diego
Shah, Amil M.
Windham, B. Gwen
Coresh, Josef
Walker, Keenan A.
Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title_full Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title_fullStr Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title_full_unstemmed Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title_short Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis
title_sort late‐life plasma proteins associated with prevalent and incident frailty: a proteomic analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652348/
https://www.ncbi.nlm.nih.gov/pubmed/37697678
http://dx.doi.org/10.1111/acel.13975
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