Evidence map›Paper›PMID 34742335›Full record

ArticleMolecular neurodegeneration2021

Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer's disease brain.

Hans-Ulrich Klein, Caroline Trumpff, Hyun-Sik Yang, Annie J Lee, Martin Picard, David A Bennett, Philip L De Jager

Open access · goldAbstract read
In one paragraph

Article in Molecular neurodegeneration, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 2% of its field
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

75 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
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  11. Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer's disease biomarker.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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  16. Mitochondrial haplogroups, but not heteroplasmy, are associated with midlife cognitive function.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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15 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 1 country.

Hans-Ulrich KleinCenter for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA. hk2948@cumc.columbia.edu.ORCID 0000-0002-6382-9428
Caroline TrumpffDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Hyun-Sik YangCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Annie J LeeTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Martin PicardDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, 10032, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.
Philip L De JagerCenter for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA. pld2115@cumc.columbia.edu.
Columbia University Irving Medical Center · USBrigham and Women's Hospital · USColumbia University · USRush University Medical Center · US

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Immunogenetic contribution to the progression of preclinical Alzheimer's diseaseK23AG062750 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI YANG, HYUN-SIK · 2019 to 2023
$982k
NIA NIH HHS K23 AG062750NIA NIH HHS P30 AG010161NIA NIH HHS P30AG010161NIA NIH HHS R01 AG015819NIA NIH HHS R01AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01AG017917NIA NIH HHS U01 AG046152NIA NIH HHS U01AG046152NIA NIH HHS U01 AG061356NIA NIH HHS U01AG061356
6 · The paper itself

Abstract

backgroundMitochondrial dysfunction is a feature of neurodegenerative diseases, including Alzheimer's disease (AD). Changes in the mitochondrial DNA copy number (mtDNAcn) and increased mitochondrial DNA mutation burden have both been associated with neurodegenerative diseases and cognitive decline. This study aims to systematically identify which common brain pathologies in the aged human brain are associated with mitochondrial recalibrations and to disentangle the relationship between these pathologies, mtDNAcn, mtDNA heteroplasmy, aging, neuronal loss, and cognitive function.

methodsWhole-genome sequencing data from n = 1361 human brain samples from 5 different regions were used to quantify mtDNAcn as well as heteroplasmic mtDNA point mutations and small indels. Brain samples were assessed for 10 common pathologies. Annual cognitive test results were used to assess cognitive function proximal to death. For a subset of samples, neuronal proportions were estimated from RNA-seq profiles, and mass spectrometry was used to quantify the mitochondrial protein content of the tissue.

resultsmtDNAcn was 7-14% lower in AD relative to control participants. When accounting for all 10 common neuropathologies, only tau was significantly associated with lower mtDNAcn in the dorsolateral prefrontal cortex. In the posterior cingulate cortex, TDP-43 pathology demonstrated a distinct association with mtDNAcn. No changes were observed in the cerebellum, which is affected late by pathologies. Neither age nor gender was associated with mtDNAcn in the studied brain regions when adjusting for pathologies. Mitochondrial content and mtDNAcn independently explained variance in cognitive function unaccounted by pathologies, implicating complex mitochondrial recalibrations in cognitive decline. In contrast, mtDNA heteroplasmy levels increased by 1.5% per year of life in the cortical regions, but displayed no association with any of the pathologies or cognitive function.

conclusionsWe studied mtDNA quantity and quality in relation to mixed pathologies of aging and showed that tau and not amyloid-β is primarily associated with reduced mtDNAcn. In the posterior cingulate cortex, the association of TDP-43 with low mtDNAcn points to a vulnerability of this region in limbic-predominant age-related TDP-43 encephalopathy. While we found low mtDNAcn in brain regions affected by pathologies, the absence of associations with mtDNA heteroplasmy burden indicates that mtDNA point mutations and small indels are unlikely to be involved in the pathogenesis of late-onset neurodegenerative diseases.

Indexed as

Alzheimer DiseaseAgedAmyloid beta-PeptidesBrainDNA, MitochondrialHumansMitochondriaAmyloid beta-PeptidesDNA, MitochondrialAlzheimer’s diseaseAmyloidMitochondriaMitochondrial DNA copy numberMitochondrial heteroplasmyNeurodegenerationTauTDP-43

Identifiers

PMID34742335
PMCPMC8572491
OpenAlexW3214464446

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.