Circulating extracellular vesicle long RNA profiling combined with machine learning unveils novel diagnostic signature and molecular features in chronic pancreatitis - PubMed
3 hours ago
- #Chronic Pancreatitis
- #Machine Learning
- #Extracellular Vesicles
- Researchers developed a non-invasive diagnostic model for chronic pancreatitis (CP) using long RNAs from circulating extracellular vesicles (EVs).
- A five-ExLR panel selected via machine learning (random forest) showed excellent diagnostic performance, even in early or atypical CP cases.
- EV long RNA profiling identified MUC5B+ ductal cells as strongly correlated with CP and created a blood-based score for acinar-to-ductal metaplasia (ADM).
- The ADM score linked with clinical traits, imaging findings, and metabolic issues, offering insights into CP's molecular features.
- This study presents the first EV long RNA-based diagnostic tool robust against various controls, aiding CP diagnosis and pathophysiological understanding.