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May 02, 2023; 100 (18) Research Article

Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function

A Meta-analysis of Community-Based Cohorts

View ORCID ProfileYuankai Zhang, Xue Liu, View ORCID ProfileKerri L. Wiggins, Nuzulul Kurniansyah, Xiuqing Guo, Amanda L. Rodrigue, Wei Zhao, View ORCID ProfileLisa R. Yanek, View ORCID ProfileScott M. Ratliff, Achilleas Pitsillides, Juan Sebastian Aguirre Patiño, View ORCID ProfileTamar Sofer, Dan E. Arking, Thomas R. Austin, View ORCID ProfileAlexa S. Beiser, View ORCID ProfileJohn Blangero, Eric Boerwinkle, Jan Bressler, Joanne E. Curran, Lifang Hou, Timothy M. Hughes, Sharon L.R. Kardia, Lenore J. Launer, Daniel Levy, Thomas H. Mosley, Ilya M. Nasrallah, Stephen S. Rich, Jerome I. Rotter, View ORCID ProfileSudha Seshadri, Wassim Tarraf, Kevin A. González, Vasan Ramachandran, Kristine Yaffe, Paul A. Nyquist, Bruce M. Psaty, Charles S. DeCarli, View ORCID ProfileJennifer A. Smith, David C. Glahn, Hector M. González, Joshua C. Bis, View ORCID ProfileMyriam Fornage, Susan R. Heckbert, Annette L. Fitzpatrick, Chunyu Liu, View ORCID ProfileClaudia L. Satizabal, for the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, Mitochondrial and Neurocognitive Working Groups
First published March 16, 2023, DOI: https://doi.org/10.1212/WNL.0000000000207157
Yuankai Zhang
From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle.
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Xue Liu
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Kerri L. Wiggins
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Nuzulul Kurniansyah
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Xiuqing Guo
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Wei Zhao
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Scott M. Ratliff
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Achilleas Pitsillides
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Tamar Sofer
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Jerome I. Rotter
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Sudha Seshadri
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Vasan Ramachandran
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Hector M. González
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Joshua C. Bis
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Chunyu Liu
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Claudia L. Satizabal
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Citation
Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function
A Meta-analysis of Community-Based Cohorts
Yuankai Zhang, Xue Liu, Kerri L. Wiggins, Nuzulul Kurniansyah, Xiuqing Guo, Amanda L. Rodrigue, Wei Zhao, Lisa R. Yanek, Scott M. Ratliff, Achilleas Pitsillides, Juan Sebastian Aguirre Patiño, Tamar Sofer, Dan E. Arking, Thomas R. Austin, Alexa S. Beiser, John Blangero, Eric Boerwinkle, Jan Bressler, Joanne E. Curran, Lifang Hou, Timothy M. Hughes, Sharon L.R. Kardia, Lenore J. Launer, Daniel Levy, Thomas H. Mosley, Ilya M. Nasrallah, Stephen S. Rich, Jerome I. Rotter, Sudha Seshadri, Wassim Tarraf, Kevin A. González, Vasan Ramachandran, Kristine Yaffe, Paul A. Nyquist, Bruce M. Psaty, Charles S. DeCarli, Jennifer A. Smith, David C. Glahn, Hector M. González, Joshua C. Bis, Myriam Fornage, Susan R. Heckbert, Annette L. Fitzpatrick, Chunyu Liu, Claudia L. Satizabal, for the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, Mitochondrial and Neurocognitive Working Groups
Neurology May 2023, 100 (18) e1930-e1943; DOI: 10.1212/WNL.0000000000207157

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Abstract

Background and Objectives Previous studies suggest that lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer disease (AD) and AD-related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults.

Methods We included dementia-free participants from 9 diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within ±5 years (i.e., cross-sectional analyses) or 5–20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (<60 vs ≥60 years). Fixed-effects or sample size-weighted meta-analyses were performed to combine results. Finally, we performed mendelian randomization (MR) analyses to assess causality.

Results We included up to 19,152 participants (mean age 59 years, 57% women). Higher mtDNA CN was cross-sectionally associated with better general cognitive function (β = 0.04; 95% CI 0.02–0.06) independent of age, sex, batch effects, race/ethnicity, time between blood draw and cognitive evaluation, cohort-specific variables, and education. Additional adjustment for blood cell counts or cardiometabolic traits led to slightly attenuated results. We observed similar significant associations with cognition in prospective analyses, although of reduced magnitude. We found no significant associations between mtDNA CN and brain MRI measures in meta-analyses. MR analyses did not reveal a causal relation between mtDNA CN in blood and cognition.

Discussion Higher mtDNA CN in blood is associated with better current and future general cognitive function in large and diverse communities across the United States. Although MR analyses did not support a causal role, additional research is needed to assess causality. Circulating mtDNA CN could serve nevertheless as a biomarker of current and future cognitive function in the community.

Glossary

AD=
Alzheimer disease;
ADRD=
AD-related dementia;
ARIC=
Atherosclerosis Risk in Communities;
CARDIA=
Coronary Artery Risk Development in Young Adults;
CHS=
Cardiovascular Health Study;
CN=
copy number;
FHS=
Framingham Heart Study;
GeneSTAR=
Genetic Study of Atherosclerosis Risk;
GENOA=
Genetic Epidemiology Network of Arteriopathy;
GOBS=
Genetics of Brain Structure and Function Study;
GWAS=
genome-wide association study;
HCHS/SOL=
Hispanic Community Health Study/Study of Latinos;
IVW=
inverse-variance weighted;
LD=
linkage disequilibrium;
MESA=
Multi-Ethnic Study of Atherosclerosis;
MR=
mendelian randomization;
mtDNA=
mitochondrial DNA;
qPCR=
real-time PCR;
SNV=
single nucleotide variation;
TOPMed=
Trans-Omics for Precision Medicine;
WES=
whole-exome sequencing;
WGS=
whole-genome sequencing;
WMH=
white matter hyperintensity

Footnotes

  • ↵Coinvestigators are listed at links.lww.com/WNL/C692.

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Submitted and externally peer reviewed. The handling editor was Associate Editor Linda Hershey, MD, PhD, FAAN.

  • Received June 29, 2022.
  • Accepted in final form January 20, 2023.
  • Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government.
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