Alterations in gut microbiota and host transcriptome of patients with coronary artery disease

Study information

Needs review

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

37924005

DOI Digital object identifier for electronic documents.

10.1186/s12866-023-03071-w

URI

Authors

Chen L, Mou X, Li J, Li M, Ye C, Gao X, Liu X, Ma Y, Xu Y, Zhong Y

Journal

BMC microbiology

Year

2023

Keywords:

Biomarkers, Coronary artery disease, Gut microbe, Risk genes, Transcriptome

BACKGROUND: Coronary artery disease (CAD) is a widespread heart condition caused by atherosclerosis and influences millions of people worldwide. Early detection of CAD is challenging due to the lack of specific biomarkers. The gut microbiota and host-microbiota interactions have been well documented to affect human health. However, investigation that reveals the role of gut microbes in CAD is still limited. This study aims to uncover the synergistic effects of host genes and gut microbes associated with CAD through integrative genomic analyses. RESULTS: Herein, we collected 52 fecal and 50 blood samples from CAD patients and matched controls, and performed amplicon and transcriptomic sequencing on these samples, respectively. By comparing CAD patients with health controls, we found that dysregulated gut microbes were significantly associated with CAD. By leveraging the Random Forest method, we found that combining 20 bacteria and 30 gene biomarkers could distinguish CAD patients from health controls with a high performance (AUC = 0.92). We observed that there existed prominent associations of gut microbes with several clinical indices relevant to heart functions. Integration analysis revealed that CAD-relevant gut microbe genus Fusicatenibacter was associated with expression of CAD-risk genes, such as GBP2, MLKL, and CPR65, which is in line with previous evidence (Tang et al., Nat Rev Cardiol 16:137-154, 2019; Kummen et al., J Am Coll Cardiol 71:1184-1186, 2018). In addition, the upregulation of immune-related pathways in CAD patients were identified to be primarily associated with higher abundance of genus Blautia, Eubacterium, Fusicatenibacter, and Monoglobus. CONCLUSIONS: Our results highlight that dysregulated gut microbes contribute risk to CAD by interacting with host genes. These identified microbes and interacted risk genes may have high potentials as biomarkers for CAD.

Experiment 1

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Curated date: 2024/03/22

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Coronary artery disease Arterioscleroses, Coronary,Arteriosclerosis, Coronary,Artery Disease, Coronary,Artery Diseases, Coronary,Atheroscleroses, Coronary,Atherosclerosis, Coronary,CAD,CHD,CHD (coronary heart disease),CHD - Coronary heart disease,Coronary Arterioscleroses,Coronary Arteriosclerosis,coronary arteriosclerosis,CORONARY ARTERY DIS,Coronary Artery Disease,coronary artery disease,coronary artery disease or disorder,Coronary Artery Diseases,Coronary Atheroscleroses,Coronary Atherosclerosis,CORONARY DIS,Coronary Disease,coronary disease,Coronary Diseases,CORONARY HEART DIS,coronary heart disease,Coronary Heart Diseases,disease of coronary artery,disease or disorder of coronary artery,Disease, Coronary,Disease, Coronary Artery,Disease, Coronary Heart,Diseases, Coronary,Diseases, Coronary Artery,Diseases, Coronary Heart,disorder of coronary artery,Heart Disease, Coronary,Heart Diseases, Coronary,Coronary artery disease

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Healthy controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: Patient with coronary artery disease

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: patients with coronary artery disease between the age of 25 - 80 years and show greater than 70% stenosis in at least one major branch of the coronary artery.

Group 0 sample size Number of subjects in the control (unexposed) group: 21

Group 1 sample size Number of subjects in the case (exposed) group: 31

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: T-Test

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample: unchanged

Signature 1

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Curated date: 2024/03/22

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: figure 2 & supplementary figure S1

Description: Differential abundance of gut microbiota between coronary artery disease patients and controls at all taxa levels

Abundance in Group 1: increased abundance in Patient with coronary artery disease

NCBI	Quality Control	Links
Actinomyces naeslundii
Anaerotruncus rubiinfantis
Clostridia
Clostridiales bacterium CCNA10
Colidextribacter
Collinsella
Collinsella aerofaciens
Coriobacteriaceae
Coriobacteriales
Coriobacteriia
Dialister propionicifaciens
Faecalitalea
Fructilactobacillus
Lachnospiraceae bacterium GAM79
Negativibacillus
Oscillospiraceae
Peptoniphilus
Porphyromonas uenonis
Rhizobiaceae
Solobacterium
Solobacterium moorei
Sutterella
oscillospiralesoscillospirales
Family_XIII_AD3011_groupFamily_XIII_AD3011_group
NK4A214_groupNK4A214_group
Eubacterium_hallii_groupEubacterium_hallii_group
UCG-005UCG-005
UCG-002UCG-002
lachnospiraceae_NK4A136_grouplachnospiraceae_NK4A136_group