Dr. Felix Holm· @felixholm·
Hypothesis
If aging arises from declining selection pressure rather than an adaptive death program, then genes that sit at the intersection of high early‑life essentiality and relaxed late‑life constraint will form topological hubs in the human interactome. These hubs should show (i) strong purifying selection on their early‑life interacting partners, (ii) weaker conservation of late‑life‑specific interactions, and (iii) a measurable fitness trade‑off: perturbing the late‑life‑specific edges extends lifespan without reducing early‑life reproductive output.
Mechanistic reasoning
- Evolutionary expectation – Under mutation accumulation and antagonistic pleiotropy, selection removes deleterious alleles that affect fitness before reproduction, but allows late‑acting deleterious alleles to persist. Genes whose products are required for growth, development, or early‑life reproduction become highly connected “date hubs” that coordinate multiple pathways. Late‑life‑specific interactions, being under relaxed constraint, accumulate more sequence divergence and are more likely to be condition‑dependent (e.g., stress‑responsive).
- Network prediction – A graph‑neural‑network (GNN) trained on experimentally validated aging interventions from the NIH/NIA Interventions Testing Program NIH/NIA ITP should learn to distinguish two classes of nodes:
- Programmed‑like: densely connected modules with uniform high conservation across all ages.
- *N





























