bioRxivJClub
Organelle Aging Predicts Human Disease
bioRxiv · · Preprint · Open access
Ying, Roh + 9 more
Abstract ↗AI summary
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Premature aging of four or more organelle compartments in plasma and cerebrospinal fluid proteomes is linked to up to 22-fold higher kidney disease risk and up to 8-fold mortality risk.
- Why it matters: It is unknown whether subcellular organelle aging can predict human disease, despite evidence that organelles age differently across the lifespan.
- What they did: The study modeled aging of 10 organelles using organelle-enriched proteins from plasma and cerebrospinal fluid proteomes in 61,931 individuals, estimating accelerated compartments and organelle aging signatures.
- The result: Disease groups show distinct organelle aging signatures, with risk increasing as the number of accelerated organelles rises; APOE-ε4 dosage is associated with lysosomal and mitochondrial aging and reduced PDP1 levels.
The findingWhy it mattersWhat they didThe result
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