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High polygenic risk score for exceptional longevity is associated with a healthy metabolic profile.
Revelas, Mary; Thalamuthu, Anbupalam; Zettergren, Anna; Oldmeadow, Christopher; Najar, Jenna; Seidu, Nazib M; Armstrong, Nicola J; Riveros, Carlos; Kwok, John B; Schofield, Peter R; Trollor, Julian N; Waern, Margda; Wright, Margaret J; Zetterberg, Henrik; Ames, David; Belnnow, Kaj; Brodaty, Henry; Scott, Rodney J; Skoog, Ingmar; Attia, John R; Sachdev, Perminder S; Mather, Karen A.
Affiliation
  • Revelas M; Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine & Health, UNSW, Sydney, Australia. m.revelas@student.unsw.edu.au.
  • Thalamuthu A; Neuroscience Research Australia, Sydney, NSW, Australia. m.revelas@student.unsw.edu.au.
  • Zettergren A; Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine & Health, UNSW, Sydney, Australia.
  • Oldmeadow C; Neuroscience Research Australia, Sydney, NSW, Australia.
  • Najar J; Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden.
  • Seidu NM; Hunter Medical Research Institute, Newcastle, NSW, Australia.
  • Armstrong NJ; Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden.
  • Riveros C; Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden.
  • Kwok JB; Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden.
  • Schofield PR; Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine & Health, UNSW, Sydney, Australia.
  • Trollor JN; Mathematics and Statistics, Curtin University, Perth, Australia.
  • Waern M; Hunter Medical Research Institute, Newcastle, NSW, Australia.
  • Wright MJ; Queensland Brain Institute, University of Queensland, Brisbane, Australia.
  • Zetterberg H; Neuroscience Research Australia, Sydney, NSW, Australia.
  • Ames D; School of Medical Sciences, UNSW, Sydney, Australia.
  • Belnnow K; Neuroscience Research Australia, Sydney, NSW, Australia.
  • Brodaty H; School of Medical Sciences, UNSW, Sydney, Australia.
  • Scott RJ; Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine & Health, UNSW, Sydney, Australia.
  • Skoog I; Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine & Health, UNSW, Sydney, Australia.
  • Attia JR; Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden.
  • Sachdev PS; Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg, Sweden.
  • Mather KA; Queensland Brain Institute, University of Queensland, Brisbane, Australia.
Geroscience ; 45(1): 399-413, 2023 02.
Article de En | MEDLINE | ID: mdl-35972662
ABSTRACT
Healthy metabolic measures in humans are associated with longevity. Dysregulation leads to metabolic syndrome (MetS) and negative health outcomes. Recent exceptional longevity (EL) genome wide association studies have facilitated estimation of an individual's polygenic risk score (PRS) for EL. We tested the hypothesis that individuals with high ELPRS have a low prevalence of MetS. Participants were from five cohorts of middle-aged to older adults. The primary analyses were performed in the UK Biobank (UKBB) (n = 407,800, 40-69 years). Replication analyses were undertaken using three Australian studies Hunter Community Study (n = 2122, 55-85 years), Older Australian Twins Study (n = 539, 65-90 years) and Sydney Memory and Ageing Study (n = 925, 70-90 years), as well as the Swedish Gothenburg H70 Birth Cohort Studies (n = 2273, 70-93 years). MetS was defined using established criteria. Regressions and meta-analyses were performed with the ELPRS and MetS and its components. Generally, MetS prevalence (22-30%) was higher in the older cohorts. In the UKBB, high EL polygenic risk was associated with lower MetS prevalence (OR = 0.94, p = 1.84 × 10-42) and its components (p < 2.30 × 10-8). Meta-analyses of the replication cohorts showed nominal associations with MetS (p = 0.028) and 3 MetS components (p < 0.05). This work suggests individuals with a high polygenic risk for EL have a healthy metabolic profile promoting longevity.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Syndrome métabolique X / Longévité Type d'étude: Etiology_studies / Observational_studies / Risk_factors_studies Limites: Aged / Humans / Middle aged Pays/Région comme sujet: Oceania Langue: En Journal: Geroscience Année: 2023 Type de document: Article Pays d'affiliation: Australie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Syndrome métabolique X / Longévité Type d'étude: Etiology_studies / Observational_studies / Risk_factors_studies Limites: Aged / Humans / Middle aged Pays/Région comme sujet: Oceania Langue: En Journal: Geroscience Année: 2023 Type de document: Article Pays d'affiliation: Australie