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bioRxiv · 10.1101/2023.09.13.557572

Whole blood mitochondrial copy number in clinical populations with mood disorders: a meta-analysis

Calarco, C. A.·Keppetipola, S. M.·Kumar, G.·Shipper, A. G.·Lobo, M. K.
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Abstract

BackgroundMajor 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. MethodsFollowing 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. ResultsOur results show a trending increase in mtDNAcn in patients with MDD, which reaches significance when one study with outlying demographic characteristics is excluded. Overall, there was no effect of BD on mtDNAcn, however, further subgroup and meta-regression analysis indicated the effects on mtDNAcn are dependent on BD type. ConclusionsTogether our data suggest whole blood/leukocyte 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. Further study of blood mtDNAcn could predict downstream health outcomes or treatment responsivity in individuals with mood disorders.

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Calarco, C. A., Keppetipola, S. M., Kumar, G., Shipper, A. G., Lobo, M. K.. 2023-09-14. Whole blood mitochondrial copy number in clinical populations with mood disorders: a meta-analysis. https://doi.org/10.1101/2023.09.13.557572

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