This single-center study enrolled patients aged 35-75 years who were diagnosed with unstable angina (UA), and had at least one of the three major coronary arteries with a ≥ 50% reduction in lumen diameter by angiographic visual estimation. Patients were all recruited at the Department of Cardiology, Union Hospital, Wuhan, Hubei Province, China. Feces and blood samples were collected on admission were used promptly for ex vivo studies.
This single-center study enrolled patients aged 35-75 years who were diagnosed with unstable angina (UA), and had at least one of the three major coronary arteries with a ≥ 50% reduction in lumen diameter by angiographic visual estimation. Patients were all recruited at the Department of Cardiology, Union Hospital, Wuhan, Hubei Province, China. Exclusion criteria included acute myocardial infarction, prior myocardial infarction, malignancies, auto-immune or auto-inflammatory diseases, or ongoing infection. Feces and blood samples were collected on admission were used promptly for ex vivo studies. the aim of the study is to investigate whether the fecal microbiota and peripheral blood monocytes in patients with coronary heart disease at different levels of inflammation are associated with the level of inflammation.
Study Type
OBSERVATIONAL
Enrollment
100
this study does not involve any intervention
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China
blood monocytes trained immunity
1.Blood monocytes were detected by flowcytometry to evaluate the monocyte subsets and CCR2 expression; 2. monocytes were enriched from blood cells and used for ex vivo lipopolysaccharide stimulation, mRNA sequencing and ATAC sequencing; 3.The metabolic bias of monocytes was detected by Seahorse technology and metabolics.
Time frame: within 3 days
fecal microbiome profile
the feccal microbiota was detected by 16s rRNA sequencing, and the analyses includes alpha and beta diversity, the differential microbiota between two groups, and the correlation between microbiota and clinical characteristics including age, BMI, blood lipids, and other available continous variables.
Time frame: within 3 days
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