Nüfus Ölçeği'nde Boyuna Omiklerin Kilidini Açarak Erken Parkinson Ortaya Çıktı

Araştırma özeti

Aşağıdaki metin kaynak makalenin lisansı doğrulanmış orijinal özetidir. cc by

Many diseases begin developing years before symptoms appear 1–3 , yet biospecimens from these early stages are rarely available. We developed Chronos, a framework that uses privacy-preserving tokenization 4 to link archived plasma samples with longitudinal clinical records, enabling the modeling of molecular trajectories across time. Starting with >100 million archived, routine-donation samples from 3 million plasma donors, we assembled a longitudinal Parkinson’s disease cohort and profiled 2,609 samples from 348 cases and 348 matched controls using four proteomics platforms, covering more than 25,000 proteoforms. We reproduced proteomic signatures from clinically-phenotyped cohorts and revealed early, coordinated alterations in a CXCL12, cell ratios to predict future diagnosis, achieving a maximum cross-validated area under the curve of 0.76 and replicated the findings in up to 5 independent cohorts. Chronos enables disease detection before clinical manifestation by prioritizing longitudinal molecular changes over symptoms, and provides a general framework to reconstruct chronic and acute disease trajectories from large plasma collections.

İlgili konular