Biology subjects

Aryaman, J.

Publications and source records attributed to Aryaman, J..

3 recordsLinked to original sources

bioRxiv2023

Cryptic mitochondrial ageing coincides with mid-late life and is pathophysiologically informative in single cells across tissues and species

Ageing is associated with a range of chronic diseases and has diverse hallmarks. Mitochondrial dysfunction is implicated in ageing, and mouse-models with artificially enhanced mitochondrial DNA (mtDNA) mutation rates show accelerated ageing. A scarcely studied aspect of ageing, because it is invisible in aggregate analyses, is the accumulation of somatic mtDNA mutations which are unique to single cells (cryptic mutations). We find evidence of cryptic mtDNA mutations from diverse single-cell datasets, from three species, and discover: cryptic mutations constitute the vast majority of mtDNA mutations in aged post-mitotic tissues, that they can avoid selection, that their accumulation is consonant with theory, hits high levels coinciding with species specific mid-late life, and that their presence covaries with a majority of the hallmarks of ageing including protein misfolding and ER stress. We identify mechanistic links to ER stress experimentally and further give evidence that aged brain cells with high levels of cryptic mutations show markers of neurodegeneration and that calorie restriction slows the accumulation of cryptic mutations.

bioinformatics↗

bioRxiv2020

Survival of the densest accounts for the expansion of mitochondrial mutations in ageing

The expansion of deleted mitochondrial DNA molecules has been associated with ageing 1,2, particularly in skeletal muscle fibres 3-5; its mechanism has remained unclear for three decades. Previous accounts have assigned a replicative advantage to the deletions 6-8, but there is evidence that cells can, instead, selectively remove defective mitochondrial DNA 9. Here we present a spatial model that, without a replicative advantage, but instead through a combination of enhanced density for mutants and noise, produces a wave of expanding mutations with speeds consistent with experimental data 10. A standard model based on replicative advantage yields waves that are too fast. We provide a formula that predicts that wave-speed drops with copy number, consonant with experimental data. Crucially, our model yields travelling waves of mutants even if mutants are preferentially eliminated. Additionally, we predict that experimentally observed mutant loads can be produced by de novo mutation rates that are drastically lower than previously thought for neutral models 11. Given this exemplar of how noise, density and spatial structure affect muscle age-ing, we introduce the mechanism of stochastic survival of the densest, an alternative to replicative advantage, that may underpin other evolutionary phenomena.

genetics↗

bioRxiv2018

Mitochondrial network fragmentation modulates mutant mtDNA accumulation independently of absolute fission-fusion rates

Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may also be associated with healthy aging. MtDNA is stochastically replicated and degraded, and exists within organelles which undergo dynamic fusion and fission. The role of the resulting mitochondrial networks in the time evolution of the cellular proportion of mutated mtDNA molecules (heteroplasmy), and cell-to-cell variability in heteroplasmy (heteroplasmy variance), remains incompletely understood. Heteroplasmy variance is particularly important since it modulates the number of pathological cells in a tissue. Here, we provide the first wide-reaching theoretical framework which bridges mitochondrial network and genetic states. We show that, under a range of conditions, the (genetic) rate of increase in heteroplasmy variance and de novo mutation are proportionally modulated by the (physical) fraction of unfused mitochondria, independently of the absolute fission-fusion rate. In the context of selective fusion, we show that intermediate fusion/fission ratios are optimal for the clearance of mtDNA mutants. Our findings imply that modulating network state, mitophagy rate and copy number to slow down heteroplasmy dynamics when mean heteroplasmy is low could have therapeutic advantages for mitochondrial disease and healthy aging.

cell biology↗