organagemortalityadrenal
Adrenal OrganAge mortality model for Olink Explore 3072, using author-recommended fold 1. Trained on UK Biobank plasma measured with Olink Explore 3072. Input columns are original case-sensitive protein symbols (e.g. NTproBNP, HLA-DRA), not UniProt IDs or Olink assay IDs. Values are assay-normalized Olink NPX on the log2 relative-abundance scale, not raw counts, concentrations, linear abundances or z-scores. No additional centering or cohort scaling is applied. Absent proteins contribute zero; NaNs in supplied proteins propagate, matching the original Example_Script.R scoring expressions. For other assays, the authors recommend a symmetric abundance distribution, protein-wise mean subtraction and SD division, then multiplication by the full-model UKB protein SDs in Table S3. This cohort-dependent cross-platform preparation is not performed by pyaging. The optional Example_Script.R SD-matching step is also external; NPX labeling alone does not establish comparability across Olink panels, batches, plasma and serum. Output is relative natural-log mortality hazard, not age in years. The 2026 Insilico trial used conventional OrganAge models on Olink Explore 3072 serum; organ-specific variants are not the six-clock comparison endpoints. pyaging returns the original raw score and does not apply the trial wrapper's cohort harmonization or mortality-to-years conversion. Models labelled Female and Male contain protein features; neither requires a sex covariate. Academic/non-commercial research use only; commercial use requires a separate license from the authors.
Model weights retain the original authors' terms; the pyaging software license does not relicense them. See the original author license. These weights are restricted to research use under the authors' terms.
| Predicts | mortality risk |
| Species | Homo sapiens |
| Tissue | plasma |
| Data type | proteomics |
| Model type | elastic net Cox regression |
| Year | 2025 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["organagemortalityadrenal"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Goeminne, L. J. E., et al. "Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems." Cell Metabolism 37, 205–222.e6 (2025).
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