Joint and Individual Mitochondrial DNA Variation and Cognitive Outcomes in Black and White Older Adults.

cognitive function genetics mitochondria

Journal

The journals of gerontology. Series A, Biological sciences and medical sciences
ISSN: 1758-535X
Titre abrégé: J Gerontol A Biol Sci Med Sci
Pays: United States
ID NLM: 9502837

Informations de publication

Date de publication:
15 Jul 2024
Historique:
received: 21 02 2024
medline: 15 7 2024
pubmed: 15 7 2024
entrez: 15 7 2024
Statut: aheadofprint

Résumé

Mitochondrial dysfunction manifests in neurodegenerative diseases and other age-associated disorders. In this study, we examined variation in inherited mitochondrial DNA (mtDNA) sequences in Black and White participants from two large aging studies to identify variants related to cognitive function. Participants included self-reported Black and White adults aged ≥ 70 years in the Lifestyle Interventions and Independence for Elders (LIFE; N=1319) and Health Aging and Body Composition (Health ABC; N=7888) studies. Cognitive function was measured by the digit-symbol substitution test (DSST), and the Modified Mini-Mental State Exam (3MSE) at baseline and over follow-up in LIFE (3.6 years) and Health ABC (10 years). We examined joint effects of multiple variants across 16 functional mitochondrial regions with cognitive function using a sequence kernel association test. Based on these results, we prioritized meta-analysis of common variants in Black and White participants using mixed effects models. A Bonferroni adjusted p-value of <0.05 was considered statistically significant. Joint variation in subunits ND1, ND2, and ND5 of Complex I, 12S RNA, and hypervariable region (HVR) were significantly associated with DSST and 3MSE at baseline. In meta-analyses among Black participants, variant m.4216T>C, ND1 was associated with a faster decline in 3MSE, and variant m.462C>T in the HVR was associated with a slower decline in DSST. Variant m.5460G>C, ND2 was associated with slower and m.182C>T in the HVR was associated with faster decline in 3MSE in White participants. Among Black and White adults, oxidative phosphorylation Complex I variants were associated with cognitive function.

Sections du résumé

BACKGROUND BACKGROUND
Mitochondrial dysfunction manifests in neurodegenerative diseases and other age-associated disorders. In this study, we examined variation in inherited mitochondrial DNA (mtDNA) sequences in Black and White participants from two large aging studies to identify variants related to cognitive function.
METHODS METHODS
Participants included self-reported Black and White adults aged ≥ 70 years in the Lifestyle Interventions and Independence for Elders (LIFE; N=1319) and Health Aging and Body Composition (Health ABC; N=7888) studies. Cognitive function was measured by the digit-symbol substitution test (DSST), and the Modified Mini-Mental State Exam (3MSE) at baseline and over follow-up in LIFE (3.6 years) and Health ABC (10 years). We examined joint effects of multiple variants across 16 functional mitochondrial regions with cognitive function using a sequence kernel association test. Based on these results, we prioritized meta-analysis of common variants in Black and White participants using mixed effects models. A Bonferroni adjusted p-value of <0.05 was considered statistically significant.
RESULTS RESULTS
Joint variation in subunits ND1, ND2, and ND5 of Complex I, 12S RNA, and hypervariable region (HVR) were significantly associated with DSST and 3MSE at baseline. In meta-analyses among Black participants, variant m.4216T>C, ND1 was associated with a faster decline in 3MSE, and variant m.462C>T in the HVR was associated with a slower decline in DSST. Variant m.5460G>C, ND2 was associated with slower and m.182C>T in the HVR was associated with faster decline in 3MSE in White participants.
CONCLUSION CONCLUSIONS
Among Black and White adults, oxidative phosphorylation Complex I variants were associated with cognitive function.

Identifiants

pubmed: 39007867
pii: 7713815
doi: 10.1093/gerona/glae170
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Michelle C Odden (MC)

Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA.

Yongmei Li (Y)

Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA.

Vasantha Jotwani (V)

Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System.
Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

Sylvie Dobrota (S)

Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA.

Annabel Tan (A)

Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA.

Steven R Cummings (SR)

California Pacific Medical Center Research Institute, San Francisco, CA.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.

Michael G Shlipak (MG)

Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System.
Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

Rebecca Scherzer (R)

Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System.
Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

Joachim H Ix (JH)

Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, CA.

Marion Buckwalter (M)

Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford CA.

Gregory J Tranah (GJ)

California Pacific Medical Center Research Institute, San Francisco, CA.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.

Classifications MeSH