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RESEARCH PAPER / 2025-05-28

Mechanism of age-related accumulation of mitochondrial DNA mutations in human blood

Gupta, R., Durham, T. J., Chau, G., Uddin, M. M., Lu, W., Karczewski, K. J., Howrigan, D., Natarajan, P., Zhou, W., Neale, B. M., Mootha, V. K.

Harvard Medical School · biorxiv

Abstract

One of the strongest signatures of aging is an accumulation of mutant mitochondrial DNA (mtDNA) heteroplasmy. Here we investigate the mechanism underlying this phenomenon by calling mtDNA sequence, abundance, and heteroplasmic variation in human blood using whole genome sequences from ~750,000 individuals. Our analyses reveal a simple, two-step mechanism: first, individual cells randomly accumulate low levels of \"cryptic\" mtDNA mutations; then, when a cell clone proliferates, the cryptic mtDNA variants are carried as passenger mutations and become detectable in whole blood. Four lines of evidence support this model: (1) the mutational spectrum of age-accumulating mtDNA variants is consistent with a well-established model of mtDNA replication errors, (2) these mutations are found primarily at low levels of heteroplasmy and do not show evidence of positive selection, (3) high mtDNA mutation burden tends to co-occur in samples harboring somatic driver mutations for clonal hematopoiesis (CH), and (4) nuclear GWAS reveals that germline variants predisposing to CH (such as those near TERT, TCL1A, and SMC4) also increase mtDNA mutation burden. We propose that the high copy number and high mutation rate of mtDNA make it a particularly sensitive blood-based marker of CH. Importantly, our work helps to mechanistically unify three prominent signatures of aging: common germline variants in TERT, clonal hematopoiesis, and observed mtDNA mutation accrual.

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Research summary

The paper claims that age-related accumulation of mitochondrial DNA mutations in blood is driven by a two-step mechanism involving random mutation accumulation and clonal proliferation. This research is relevant as it addresses the underlying mechanisms of aging and proposes a potential biomarker for age-related processes, contributing to the understanding of aging biology.

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