| { |
| "approved_by_author": "\u231b", |
| "citation": "Kuo, C.-L., et al. \"Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.\" Aging Cell 23, e14195 (2024).", |
| "citations": 68, |
| "citations_date": "2026-10-02", |
| "clock_name": "pac", |
| "data_type": "proteomics", |
| "doi": "https://doi.org/10.1111/acel.14195", |
| "journal": "Aging Cell", |
| "last_author": "Breno S. Diniz", |
| "model_type": "Gompertz proportional hazards model", |
| "n_features": 129, |
| "notes": "Mortality-equivalent proteomic age from the original Kuo et al. R release, using all 128 Olink Explore 3072 plasma protein NPX values plus chronological age in years. Supply original lowercase identifiers, including fut3_fut5 and ntprobnp; there is no sex covariate. NPX is assay-normalized log2 relative abundance, not raw counts, concentrations, linear abundances or z-scores. NPX labeling alone does not establish comparability across panels, batches, plasma and serum. No cohort scaling, normalization, or imputation is applied during scoring. Every predictor column is required; supplied NaNs propagate. The paper used k-nearest-neighbor imputation (k=10) before model fitting; any upstream imputation is a separate caller decision. The full-precision original Gompertz constants are retained, without the later Insilico wrapper's rounding or optional distribution matching. Output is mortality-equivalent age in years, not a clinical diagnosis or an age-acceleration residual. Development cohort: UK Biobank adults aged 39-70. The original repository specifies no code license; the publication is CC BY 4.0. No author approval of this conversion is claimed.", |
| "platform": [ |
| "Olink Explore 3072" |
| ], |
| "population": "adults", |
| "predicts": [ |
| "biological age" |
| ], |
| "research_only": true, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "plasma" |
| ], |
| "training_target": [ |
| "mortality" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "year": 2024 |
| } |
