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Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis.

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العنوان: Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis.
المؤلفون: McCrory C; The Irish Longitudinal Study on Ageing, Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland. Electronic address: mccrorc@tcd.ie., McLoughlin S; The Irish Longitudinal Study on Ageing, Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland., Layte R; Department of Sociology, Trinity College Dublin, Ireland., NiCheallaigh C; Department of Clinical Medicine, Trinity College Dublin and St James's Hospital, Ireland., O'Halloran AM; The Irish Longitudinal Study on Ageing, Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland., Barros H; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal., Berkman LF; Harvard Center for Population and Development Studies, Harvard. T.H. Chan School of Public Health, 9 Bow Street, Cambridge, MA 02138, USA., Bochud M; Center for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland., M Crimmins E; Davis School of Gerontology, University of Southern California, USA., T Farrell M; Harvard Center for Population and Development Studies, Harvard. T.H. Chan School of Public Health, 9 Bow Street, Cambridge, MA 02138, USA., Fraga S; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal., Grundy E; Institute for Social & Economic Research, University of Essex, UK and Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway., Kelly-Irving M; Centre for Epidemiology and Research in Population Health (CERPOP), Université de Toulouse, Inserm-Université Paul Sabatier, Toulouse, France., Petrovic D; Center for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland., Seeman T; David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA., Stringhini S; Center for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland; Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospital, Faculty of Medicine, University of Geneva, Switzerland., Vollenveider P; Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland, University of Lausanne, Lausanne, Switzerland., Kenny RA; The Irish Longitudinal Study on Ageing, Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland.
المصدر: Psychoneuroendocrinology [Psychoneuroendocrinology] 2023 Jul; Vol. 153, pp. 106117. Date of Electronic Publication: 2023 Apr 19.
نوع المنشور: Meta-Analysis; Journal Article; Review; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 7612148 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3360 (Electronic) Linking ISSN: 03064530 NLM ISO Abbreviation: Psychoneuroendocrinology Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Oxford, Elmsford, N. Y., Pergamon Press.
مواضيع طبية MeSH: Allostasis*/physiology, Humans ; Glycated Hemoglobin ; Consensus ; Biomarkers ; C-Reactive Protein/analysis ; Cohort Studies
مستخلص: Background: Allostatic load (AL) is a multi-system composite index for quantifying physiological dysregulation caused by life course stressors. For over 30 years, an extensive body of research has drawn on the AL framework but has been hampered by the lack of a consistent definition.
Methods: This study analyses data for 67,126 individuals aged 40-111 years participating in 13 different cohort studies and 40 biomarkers across 12 physiological systems: hypothalamic-pituitary-adrenal (HPA) axis, sympathetic-adrenal-medullary (SAM) axis, parasympathetic nervous system functioning, oxidative stress, immunological/inflammatory, cardiovascular, respiratory, lipidemia, anthropometric, glucose metabolism, kidney, and liver. We use individual-participant-data meta-analysis and exploit natural heterogeneity in the number and type of biomarkers that have been used across studies, but a common set of health outcomes (grip strength, walking speed, and self-rated health), to determine the optimal configuration of parameters to define the concept.
Results: There was at least one biomarker within 9/12 physiological systems that was reliably and consistently associated in the hypothesised direction with the three health outcomes in the meta-analysis of these cohorts: dehydroepiandrosterone sulfate (DHEAS), low frequency-heart rate variability (LF-HRV), C-reactive protein (CRP), resting heart rate (RHR), peak expiratory flow (PEF), high density lipoprotein cholesterol (HDL-C), waist-to-height ratio (WtHR), HbA1c, and cystatin C. An index based on five biomarkers (CRP, RHR, HDL-C, WtHR and HbA1c) available in every study was found to predict an independent outcome - mortality - as well or better than more elaborate sets of biomarkers.
Discussion: This study has identified a brief 5-item measure of AL that arguably represents a universal and efficient set of biomarkers for capturing physiological 'wear and tear' and a further biomarker (PEF) that could usefully be included in future data collection.
Competing Interests: Conflict of interest disclosure The authors declare no conflict of interest.
(Crown Copyright © 2023. Published by Elsevier Ltd. All rights reserved.)
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معلومات مُعتمدة: U01 AG009740 United States AG NIA NIH HHS; R01 AG060110 United States AG NIA NIH HHS; R01 AG016790 United States AG NIA NIH HHS; United Kingdom WT_ Wellcome Trust; P01 AG051428 United States AG NIA NIH HHS; R01 AG017644 United States AG NIA NIH HHS; P01 AG020166 United States AG NIA NIH HHS; P01 AG041710 United States AG NIA NIH HHS; R01 AG016661 United States AG NIA NIH HHS
فهرسة مساهمة: Keywords: Allostatic load; Biomarker; Cohort study; Cumulative physiological dysregulation; Individual participant data meta-analysis
المشرفين على المادة: 0 (Glycated Hemoglobin)
0 (Biomarkers)
9007-41-4 (C-Reactive Protein)
تواريخ الأحداث: Date Created: 20230426 Date Completed: 20230529 Latest Revision: 20240702
رمز التحديث: 20240702
مُعرف محوري في PubMed: PMC10620736
DOI: 10.1016/j.psyneuen.2023.106117
PMID: 37100008
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-3360
DOI:10.1016/j.psyneuen.2023.106117