Plasma acylcarnitines and amino acids in dyslipidemia: An integrated metabolomics and machine learning approach.

ABSTRACT:

Purpose

The Discovery of underlying intermediates associated with the development of dyslipidemia results in a better understanding of pathophysiology of dyslipidemia and their modification will be a promising preventive and therapeutic strategy for the management of dyslipidemia.

Methods

The entire dataset was selected from the Surveillance of Risk Factors of Noncommunicable Diseases (NCDs) in 30 provinces of Iran (STEPs 2016 Country report in Iran) that included 1200 subjects and was stratified into four binary classes with normal and abnormal cases based on their levels of triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and non-HDL-C.Plasma concentrations of 20 amino acids and 30 acylcarnitines in each class of dyslipidemia were ev

SUBMITTER: Etemadi A 

PROVIDER: S-EPMC11196250 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature