Hypothesis
We hypothesize that incorporating mitochondrial retrograde signaling as a coupling constraint improves the alignment of genomic, epigenomic, transcriptomic, proteomic, and metabolomic manifolds onto a shared biological age latent space, leading to better prediction of functional aging outcomes than current multi‑omics clocks that rely on colocalization or post‑hoc integration.
Mechanistic Basis
Mitochondria emit metabolites, reactive oxygen species, and NAD+‐dependent signals that modify nuclear chromatin and alter transcriptional programs. These signals change with age and create coordinated shifts across omics layers. If a latent model ignores this bidirectional communication, each modality may be forced into a space that reflects technical noise rather than true physiological coupling. By adding a loss term that maximizes mutual information between mitochondrial‑derived features (e.g., circulating cell‑free DNA, plasma metabolomics of TCA intermediates) and the shared latent representation, we encourage the network to learn a manifold where age‑related drift is concordant across layers.
This idea extends the observation that true manifold alignment is rare 2025. It also builds on transformer‑based clocks that optimize multiple objectives but still treat omics as separate inputs Yang et al. 2025. The proposed mitochondrial coupling provides a biologically grounded regularizer that can be interpreted as a “pace‑maker” for multi‑omic aging.
Testable Predictions
- Improved alignment





























