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Using physiological system networks to elaborate resilience across frailty states

Hao, Meng; Zhang, Hui; Li, Yi; Hu, Xiaoxi; Hu, Zixin; Jiang, Xiaoyan; Wang, Jiucun; ... Wang, Xiaofeng; + view all (2023) Using physiological system networks to elaborate resilience across frailty states. The Journals of Gerontology: Series A 10.1093/gerona/glad243. (In press).

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Abstract

BACKGROUND: Aging is characterized by loss of resilience, the ability to resist or recover from stressors. Network analysis has shown promise in investigating dynamic relationships underlying resilience. We aimed to use network analysis to measure resilience in a longitudinal cohort of older adults and quantify whole-system vulnerabilities associated with frailty. METHODS: We used data from the Rugao Longitudinal Ageing Study, including 71 biomarkers from participants classified as robust, prefrail, or frail. We quantified biomarker correlations and topological parameters. Additionally, we proposed propagation models to simulate damage and recovery dynamics, investigating network resilience under various conditions. RESULTS: We classified 1754 individuals into robust (n=369), prefrail (n=1103), and frail (n=282) groups with 71 biomarkers. Several biomarkers were linked to frailty, including those related to blood pressure, ECG, kidney function, platelets, white blood cells. Each frailty stage was associated with increased network correlations. The frail network showed increased average degree and connectance, decreased average path length and diameter, and reduced modularity compared to robust and prefrail networks. Hub biomarkers, particularly β2-microglobulin and platelet count, played a significant role, potentially propagating dysfunction across physiological systems. Simulations revealed that damage to critical hubs led to longer recovery times in the frail network than robust and prefrail networks. CONCLUSION: Network analysis could serve as a valuable tool for quantifying resilience and identifying vulnerabilities in older adults with frailty. Our findings contribute to understanding frailty-related physiological disturbances and offer potential for personalized healthcare interventions targeting resilience in older populations.

Type: Article
Title: Using physiological system networks to elaborate resilience across frailty states
Location: United States
DOI: 10.1093/gerona/glad243
Publisher version: https://doi.org/10.1093/gerona/glad243
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Aging, complex system, phenotype network, resilience, : Frailty
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/10179168
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