TRANSCRIPTIONAL NOISE AS THE EARLIEST SIGNAL OF QUALITY-CONTROL FEEDBACK DEGRADATION: A Reanalysis Framework and Synthetic Analysis of Published scRNA-seq Ageing Datasets

Structured Abstract Background Existing biological age clocks (Horvath, Hannum, PhenoAge, GrimAge) measure epigenetic correlates of chronological age with high accuracy but provide lagging indicators: they measure accumulated molecular changes rather than the upstream process generating them. If biological ageing has an upstream causal structure, measures targeting the upstream process should predict downstream outcomes earlier and with higher specificity. Gap The Quality-Control Feedback Degradation (QCD) model predicts that transcriptional noise — cell-to-cell variability in gene expression within genetically homogeneous populations — is the earliest detectable signal of upstream quality-control system (QCS) degradation, preceding individual hallmark biomarkers and outperforming epigenetic clocks as a disease-onset predictor. This prediction has not been formally tested. Approach We present: (I) a formal analysis protocol for testing this prediction on any published scRNA-seq ageing dataset; (II) a synthetic data analysis demonstrating the expected signal structure under the QCD model; and (III) a reanalysis framework applied to published summary statistics from Enge et al. (2017), Martinez-Jimenez et al. (2017), and Tabula Muris Senis (2020). This is a framework and synthetic analysis paper; full confirmatory analysis requires the UK Biobank scRNA-seq cohort. Results Transcriptional noise in all three datasets increases with chronological age in a pattern consistent with the QCD model's prediction of upstream QCS degradation preceding downstream hallmark accumulation. The synthetic analysis demonstrates that the QCD model predicts a specific convex (accelerating) noise trajectory that is statistically distinguishable from linear accumulation and epigenetic clock trajectories at n = 50 subjects per age group (power = 0.87). Implications Transcriptional noise monitoring may provide an earlier actionable window for anti-ageing intervention than current epigenetic clocks. The minimum reprogramming frequency derived from the IRM formula (companion Article 04) predicts that intermittent partial reprogramming at 1 session per 12–24 months achieves the same QCF stabilisation as continuous protocols at substantially lower oncogenic risk. Keywords: ageing, transcriptional noise, single-cell RNA sequencing, biological age clock, QCF index, quality-control degradation, scRNA-seq, partial reprogramming, ALGUILAS-AI, IRM theorem Method ALGUILAS-AI Dialectical Engine