Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.

Journal: Frontiers in cellular and infection microbiology

PMID: 38716195

Abstract

OBJECTIVE: The relationship between macrophages and the gut microbiota in patients with atherosclerosis remains poorly defined, and effective biological markers are lacking. This study aims to elucidate the interplay between gut microbial communities and macrophages, and to identify biomarkers associated with the destabilization of atherosclerotic plaques. The goal is to enhance our understanding of the underlying molecular pathways and to pave new avenues for diagnostic approaches and therapeutic strategies in the disease.

Authors

Yin Ke

Department of Neurosurgery, The University-Town Hospital of Chongqing Medical University, Chongqing, China.
Jian Yue

Department of Breast Surgery, Gaozhou People's Hospital, Gaozhou, China.
Jiaming He

Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Guojing Liu

Department of Neurosurgery, The University-Town Hospital of Chongqing Medical University, Chongqing, China.

Keywords

Agammaglobulinaemia Tyrosine Kinase Algorithms Antigens, CD Antigens, Differentiation, Myelomonocytic Atherosclerosis Biomarkers CD68 Molecule Gastrointestinal Microbiome Gene Expression Profiling Gene Regulatory Networks Humans Interferon Regulatory Factors Machine Learning Macrophages Plaque, Atherosclerotic Receptors, CCR1 Single-Cell Analysis

External Resources

View on PubMed Access via DOI PubMed (38716195)

Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.

Abstract

Authors

Keywords

External Resources

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