Analysis of the blood bacterial composition of patients with acute coronary syndrome and chronic coronary syndrome

• DOI: 10.3389/fcimb.2022.943808
• Publication Date: 2022-10-04T05:43:31Z
• Authors: Ikram Khan; Imran Khan; Muhammad Usman; Zhou Jianye; Zhang Xiao Wei; Xie Ping; Li Zhiqiang; An Lizhe
• Keywords: FOS: Computer and information sciences; 0301 basic medicine; blood microbiota; Epidemiology; Bioinformatics; Population; Firmicutes; Microbiology; Gene; acute coronary syndrome; 03 medical and health sciences; Cellular and Infection Microbiology; RNA, Ribosomal, 16S; Health Sciences; Proteobacteria; Periodontal Diseases and Oral Microbiome; Genetics; Humans; Alpha diversity; Obesity; Acute Coronary Syndrome; bacteria; Internal medicine; Biology; Species diversity; chronic coronary syndrome; Bacteria; Ecology; Management and Epidemiology of Infective Endocarditis; FOS: Clinical medicine; Atherosclerosis; Metabolic syndrome; QR1-502; 3. Good health; Myocardial infarction; Cholesterol-lowering Treatment; Environmental health; Atherosclerotic Cardiovascular Risk; Dentistry; FOS: Biological sciences; Medicine; Periodontics; Surgery; Acute coronary syndrome; Microbiome; Biomarkers; novaSeq; 16S ribosomal RNA

Emerging evidence revealed that the blood microbiota plays a role in several non-communicable diseases, including cardiovascular disease. However, of circulating microbes atherosclerosis remains understudied. To test this hypothesis, we performed study to investigate microbial profile Chines volunteers. A total seventy Acute Coronary Syndrome patients, Chronic and healthy individuals were examined using high-throughput Illumina Novaseq targeting V3-V4 regions 16S rRNA gene. The relationship between microbiome, clinical variables, their functional pathways also investigated. Our observed significantly higher alpha diversity indices (Chao1, p = 0.001, Shannon, 0.004) acute coronary syndrome group compared with chronic group, although lower was group. Beta based on principal coordinate analysis demonstrated major separation among three groups. In addition, linear discriminant analysis, significant distinct taxon such as Actinobacteria _ phylum, Staphylococcus_ genus group; Firmicutes_ Lactobacillus Proteobacteria Acidobacteriota phyla Clusters Orthologous Genes grouped Kyoto Encyclopedia Genomes suggested variation all groups ( < 0.05 ). provides potential biomarkers for detection syndromes population.