Screening plasma metabolites as potential biomarkers for type B aortic dissection

Area of Science:

• Cardiovascular Research
• Metabolomics
• Biomarker Discovery

Background:

• Aortic dissection (AD) is a critical cardiovascular condition.
• Current imaging lacks biological insights into AD.
• Type B AD (TBAD) requires identification of predictive biomarkers.

Purpose of the Study:

• To identify plasma metabolites associated with the risk of type B aortic dissection (TBAD).
• To develop a metabolites risk score (MRS) model for TBAD risk prediction.
• To identify plasma metabolites related to the severity of TBAD.

Main Methods:

• Cross-sectional study of 16 hypertensive patients with TBAD and 7 without.
• Plasma metabolomics analysis.
• Logistic regression and LASSO regression for MRS model development and metabolite screening.

Main Results:

• Three metabolites (1,5-anhydro-D-glucitol, D-(+)-sucrose, PC(O-16:0/0:0)) were identified for TBAD risk.
• An MRS model was constructed using these metabolites.
• Hydrocinnamic acid, glycine deoxycholic acid, and glycochenodeoxycholic acid were associated with TBAD severity.

Conclusions:

• Identified key plasma metabolites for TBAD risk and severity.
• Developed a novel MRS model for TBAD risk.
• Findings offer potential TBAD biomarkers and insights into disease mechanisms.