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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies

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Plasma Proteomic Signatures for Diverticulitis Risk Stratification.

Thomas E Ueland¹, John P Shelley¹, Jonathan D Mosley²

¹Vanderbilt University School of Medicine, Nashville, Tennessee.

The Journal of Surgical Research

|August 24, 2025

Summary

This summary is machine-generated.

Plasma proteomic profiles enhance diverticulitis risk stratification. Combining proteomic data with genetic and lifestyle factors improves prediction accuracy for severe diverticulitis, aiding clinical management.

Keywords:

Diverticular disease Diverticulitis Phenome-wide association study Polygenic risk score Precision medicine Proteomics

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Area of Science:

Gastroenterology
Proteomics
Genetics

Background:

Diverticulitis risk stratification traditionally relies on lifestyle factors.
Emerging evidence suggests a role for molecular signatures in predicting diverticulitis risk.

Purpose of the Study:

To evaluate if plasma proteomic profiles can augment dietary and genetic factors for diverticulitis risk stratification.
To develop and validate a plasma proteomic risk score for severe diverticulitis.

Main Methods:

A UK Biobank cohort was used, with a training set for score derivation and a testing set for validation.
Differential expression and pathway analysis identified key proteins and pathways.
Least absolute shrinkage and selector operator regression models calculated the proteomic risk score.
Cox regression models assessed the score's utility alongside demographic, lifestyle, and genetic factors.

Main Results:

A proteomic risk score derived from 151 proteins was associated with an increased risk of severe diverticulitis (HR 1.48).
Integrating proteomic and genetic factors significantly improved risk prediction models compared to demographic and lifestyle factors alone.
Phenome-wide association studies linked elevated proteomic risk to renal dysfunction and cardiometabolic traits.

Conclusions:

Plasma proteomic profiles offer valuable complementary information for diverticulitis risk stratification.
The developed proteomic risk score, combined with genetic and lifestyle data, enhances the prediction of severe diverticulitis.
These findings suggest potential for novel diagnostic and management strategies in diverticulitis.