Current evidence is synthesized to argue that clonal mosaicism of mtDNA heteroplasmy constitutes a quantifiable, tissue‐specific molecular clock of aging, and the mitochondrial clock is positioned alongside epigenetic and other aging clocks, highlighting concordance, complementarity, and what must be resolved before heteroplasmy can serve as a blood‐based biomarker of biological age.
Abstract
The accumulation of somatic mitochondrial DNA (mtDNA) mutations across life is among the oldest and most debated proposed drivers of aging. A defining, counter‐intuitive feature is that individual mutant molecules, although vanishingly rare when they arise, can come to dominate a cell's multi‐copy mtDNA population through intracellular clonal expansion, producing a mosaic of respiratory‐deficient cells across aging tissues. Here we synthesize current evidence to argue that clonal mosaicism of mtDNA heteroplasmy constitutes a quantifiable, tissue‐specific molecular clock of aging. We trace foundational single‐cell and multi‐tissue observations of somatic mtDNA mutation, examine the causal evidence from mtDNA mutator mice, and dissect the debate between neutral genetic drift and cellular selection that governs clonal expansion. We then integrate recent single‐cell and population‐scale studies that have transformed the field: deep multi‐tissue surveys revealing tissue‐specific accumulation and a biphasic signature, biobank analyses linking heteroplasmy burden to mortality and organ‐specific disease, and a two‐step mechanism in which cryptic replication‐error mutations become detectable through age‐related clonal mosaicism. We discuss technologies such as single‐cell mtDNA genotyping, duplex and long‐read sequencing, and droplet digital PCR that now read the clock at single‐molecule resolution, and we connect mutational accumulation to downstream aging phenotypes through mtDNA‐driven innate immune signaling, cellular senescence and inflammaging. Finally, we position the mitochondrial clock alongside epigenetic and other aging clocks, highlighting concordance, complementarity, and what must be resolved before heteroplasmy can serve as a blood‐based biomarker of biological age.
The first integrated analysis of the Somatic Mosaicism across Human Tissues (SMaHT) Network’s production resource is presented, profiling up to 20 tissues from 25 donors using short- and long-read, duplex, single-cell, transcriptomic, and epigenomic sequencing, alongside donor-specific near-telomere-to-telomere assembl...
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Simultaneously profiling mitochondrial DNA (mtDNA) heteroplasmy and phenotypic variability at the single-cell level remains a challenge due to the absence of integrated methods that map mitochondrial genotypes alongside their functional states. We introduce human single-cell mitochondrial phenotype-coupled mtDNA sequen...
Zheng-Yang Zhang, Li-Wei Zhang, Peng An et al.· Proceedings of the National...· 0 citations
Mitochondrial DNA (mtDNA) heteroplasmy is a significant source of cellular genetic diversity and can cause disease yet its distribution and functional importance across different human cell types are poorly understood. Here we present scMOCHA (Single-Cell Mitochondrial Omics for Cellular Heteroplasmy Analysis), a scala...
Mitochondrial DNA (mtDNA) mutations cause inherited disease, accumulate with age, and recur in tumors, yet their effects remain unresolved because existing models interrogate one engineered allele at a time. We developed mtDIVE, a random C→T mutagenesis platform for pooled mitochondrial forward genetics in human epithe...
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The somatic mutations that arise in the brain across lifespan, the mechanisms that lead to their formation, and their potential contributions to aging and age-related disease are reviewed.
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Current evidence supports a well-established pathogenic role for specific mtDNA variants in primary mitochondrial disorders, whereas the contributions of common polymorphisms and haplogroups to complex metabolic disease remain largely associative and require further replication and functional validation.
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