Evidence map›Paper›PMID 38118327›Full record

SynthesisPsychiatry research2024

Whole blood mitochondrial copy number in clinical populations with mood disorders: A meta-analysis: Blood mitochondrial copy number and mood disorders.

Cali A Calarco, Swarnapali M Keppetipola, Gautam Kumar, Andrea G Shipper, Mary Kay Lobo

Abstract readMeta-Analysis
In one paragraph

Synthesis in Psychiatry research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Premature aging in serious mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  7. From Stress to Synapse: The Neuronal Atrophy Pathway to Mood Dysregulation.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Cali A CalarcoDepartment of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA.
Swarnapali M KeppetipolaDepartment of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA.
Gautam KumarDepartment of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA.
Andrea G ShipperHealth Sciences and Human Services Library, University of Maryland, 601W. Lombard Street, Baltimore, MD 21201, USA.
Mary Kay LoboDepartment of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA. Electronic address: mklobo@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Cocaine-induced mitochondrial mechanisms and molecular mediators in reward circuitryR01DA038613 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LOBO, MARY KAY · 2014 to 2025
$4.9M
The neurocircuitry of depression: Molecular and Cell Subtype MechanismsR01MH106500 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI LOBO, MARY KAY · 2015 to 2024
$4.5M
Ventral pallidum molecular mediators in cocaine addictionR01DA047843 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LOBO, MARY KAY · 2019 to 2023
$2.2M
NIDA NIH HHS R01 DA038613NIDA NIH HHS R01 DA047843NIMH NIH HHS R01 MH106500
6 · The paper itself

Abstract

Major depressive disorder (MDD) and bipolar disorder (BD), are globally prevalent, contributing to significant disease burden and adverse health outcomes. These mood disorders are associated with changes in many aspects of brain reward pathways, yet cellular and molecular changes in the brain are not readily available in clinical populations. Therefore, the use of biomarkers as proxies for changes in the brain are necessary. The proliferation of mitochondria in blood has emerged as a potentially useful biomarker, yet a clear consensus on how these mood disorders impact mitochondrial DNA copy number (mtDNAcn) has not been reached. To determine the current available consensus on the relationship of mood disorder diagnosis and blood mtDNcn, we performed a meta-analysis of available literature measuring this biomarker. Following PRISMA guidelines for a systematic search, 22 papers met inclusion criteria for meta-analysis (10 MDD, 10 BD, 2 both MDD and BD). We extracted demographic, disorder, and methodological information with mtDNAcn. Using the metafor package for R, calculated effect sizes were used in random effects or meta regression models for MDD and BD. Overall, our data suggest blood mtDNAcn may be a useful biomarker for mood disorders, with MDD and BD Type II associated with higher mtDNAcn, and BD Type I associated with lower mtDNAcn. Initially, we observed a trending increase in mtDNAcn in patients with MDD, which reached significance when one study with outlying demographic characteristics was excluded. Subgroup and meta-regression analysis indicated the relationship between mtDNAcn and diagnosis in patients with BD is dependent on BD type, while no relationship is detectable when BD types are mixed. Further study of blood mtDNAcn could predict downstream health outcomes or treatment responsivity in individuals with mood disorders.

Indexed as

Major Depressive DisorderMood DisordersBiomarkersDNA Copy Number VariationsDNA, MitochondrialHumansMitochondriaBiomarkersDNA, MitochondrialBiomarkerBipolar disorder (BD)LeukocytesMajor depressive disorder (MDD)MitochondriaMood disorderPBMCs

Identifiers

PMID38118327
PMCPMC13201072
OpenAlexW4389514105

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.