Large-scale proteomic analyses before depression diagnosis reveal novel pathophysiological insights - PubMed
3 hours ago
- #depression
- #biomarkers
- #proteomics
- Large-scale proteomic analysis identified 64 depression-related proteins, including PIGR, HAVCR2, and IL4R.
- PIGR showed significant risk effects for depression (HR = 1.26) and comorbid conditions like diabetes (HR = 2.34).
- Temporal profiling revealed three protein clusters with distinct pathophysiological patterns: cell-matrix adhesion decline, MAPK cascade activation, and increased apoptosis/immune response.
- Elevated PIGR levels correlated with reduced volume in the bilateral ventral diencephalon.
- A predictive model combining proteins and clinical features achieved superior accuracy in depression prediction (AUC = 0.74 after 15 years).
- Findings suggest early peripheral pathophysiological changes in depression, progressing from apoptotic processes to inflammation and proteolytic dysregulation.