Evidence map›Paper›PMID 41432549›Full record

ArticleAging cell2026

Mitochondrial DNA Variation in the Aging Human Cerebral Cortex and Cerebellum.

Audrey A Omidsalar, David R Tyrpak, J Andrew MacKay, Kelvin Yen, Pinchas Cohen, Geidy Serrano, Thomas G Beach, Michael A Nalls, Dena G Hernandez, Mark R Cookson and 4 more

Abstract read
In one paragraph

Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Audrey A OmidsalarDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, California, Los Angeles, USA.ORCID 0000-0002-5070-1417
David R TyrpakDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, California, Los Angeles, USA.
J Andrew MacKayAlfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, California, Los Angeles, USA.
Kelvin YenLeonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA.
Pinchas CohenLeonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA.
Geidy SerranoBanner Sun Health Research Institute (BSHRI), Sun City, Arizona, USA.
Thomas G BeachBanner Sun Health Research Institute (BSHRI), Sun City, Arizona, USA.
Michael A NallsLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Dena G HernandezLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Mark R CooksonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Andrew B SingletonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
J Raphael GibbsLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
North American Brain Expression Consortium
Brooke E HjelmDepartment of Translational Genomics, Keck School of Medicine, University of Southern California, California, Los Angeles, USA.

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI Daniel Carl Lee · 2021 to 2026
$23.5M
Ethnic-specific Effects of Mitochondrial DNA Variants and Environmental Factors on Cognitive Functioning and DementiaR01AG068405 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COHEN, PINCHAS, CRIMMINS, EILEEN M · 2020 to 2024
$3.6M
Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Intracellular switching using genetically engineered protein microdomainsR01GM114839 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACKAY, JOHN ANDREW · 2015 to 2019
$1.9M
MIDCAREER AWARD IN PATIENT ORIENTED RESEARCH ON AGINGK24AG000949 · NIA · YALE UNIVERSITY · PI INOUYE, SHARON K. · 1999 to 2009
$1.4M
Prospective studies on Parkinson's diseaseZ01ES101986 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CHEN, HONGLEI · 2006 to 2008
$1.2M
Novel temperature-responsive fusions of clathrin and caveolin to explore TGF-beta mediated fibrosisF31DK118881 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TYRPAK, DAVID RYAN · 2018 to 2019
$77k
Intramural NIH HHS Z01 AG000949Intramural NIH HHS Z01 ES101986Intramural Research Program of the National Institutes of Health (National Institute on Aging, National Institute of Neurological Disorders and Stroke 1ZIA-NS003154Intramural Research Program of the National Institutes of Health (National Institute on Aging, National Institute of Neurological Disorders and Stroke Z01-AG000949-02Intramural Research Program of the National Institutes of Health (National Institute on Aging, National Institute of Neurological Disorders and Stroke Z01-ES101986NIA NIH HHS K24 AG000949NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG068405NIDDK NIH HHS F31 DK118881NIGMS NIH HHS R01 GM114839University of KentuckyUniversity of Maryland
6 · The paper itself

Abstract

Somatic differences in mitochondrial DNA (mtDNA) have been observed with aging and between brain regions for mutations, structural variation, and abundance, which are represented by single nucleotide variants (SNVs), large deletions, and copy number, respectively. We used bioinformatic methods to interrogate mtDNA changes and their relation to cortical and cerebellar aging using whole genome sequencing data from the North American Brain Expression Consortium. This dataset contained 292 unpaired postmortem samples from frontal cortex (n = 143) and cerebellum (n = 149), ranging in age from 0.4 to 100 years and without neurological diagnoses (i.e., controls). Our analyses included (a) evaluation of mtDNA copy number using fastMitoCalc; (b) quantification of large mtDNA deletions using Splice-Break2; (c) analysis of homoplasmic and heteroplasmic SNVs; and (d) mitochondrial genome-wide associations between SNVs and large deletions. For mtDNA deletions specifically, we expanded our previous analyses to include the predicted effects on mitochondrial complexes (I-V), mitochondrial-derived microproteins, and tRNAs. MtDNA copy number significantly decreased in the cortex with age. MtDNA deletions increased in both brain regions with age, with a more dramatic slope in the cortex. These large deletions had significantly more effect on mitochondrial Complex I than other mitochondrial-encoded complexes (III-V); likewise, deletions had significantly more effect on mtALTND4 and SHMOOSE than other annotated microproteins. Heteroplasmic SNVs increased with age in cortex but not cerebellum. Finally, three common SNVs (T14798C, G12372A, and C14766T) significantly associated with large mtDNA deletions (7816-14,807, 12,369-14,004, and 8775-14,771) and altered the length of the repeat sequence associated with the 5' or 3' breakpoint.

Indexed as

AgingCerebellumCerebral CortexDNA, MitochondrialAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDNA Copy Number VariationsFemaleHumansInfantInfant, NewbornMaleDNA, Mitochondrial

Identifiers

PMID41432549
PMCPMC12724393

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.