Integrating multi-omics and machine learning strategies to explore the "gene-protein-metabolite" network in ischemic heart failure with Qi deficiency and blood stasis syndrome.

ABSTRACT:

Background

Ischemic heart failure (IHF) is a multifaceted syndrome associated with significant mortality and high hospitalization rates globally. According to traditional Chinese medicine (TCM) theory, Qi Deficiency and Blood Stasis (QXXY) Syndrome serves as the pathological basis of IHF. This study aims to investigate the biological basis of QXXY syndrome in IHF patients through an integrated multi-omics approach.

Methods

We enrolled 100 participants, comprising 40 IHF patients with QXXY syndrome (IHF-QXXY), 40 IHF patients without QXXY syndrome, and 20 healthy controls. Utilizing an integrated approach combining RNA sequencing (RNA-seq), data-independent acquisition (DIA) proteomics, and targeted metabolomics, we established a comprehensive "gene-protein-metabolite" networ

SUBMITTER: Wei J 

PROVIDER: S-EPMC12269143 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature