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Table 2 Evaluating Biomarkers in Identifying CAD Severity

From: Faecalibacterium prausnitzii as a potential Antiatherosclerotic microbe

Biomarker

Comparisons of different CAD severities

MI VS Control

UA VS Control

SACD VS Control

AUC

P value

95% CI

AUC

P value

95% CI

AUC

P value

95% CI

Gut bacterial species

 

Faecalibacterium_prausnitzii

0.728

<  0.001

0.647–0.81

0.717

<  0.001

0.645–0.79

0.78

<  0.001

0.703–0.856

Dorea_longicatena

0.659

0.002

0.565–0.753

   

0.746

<  0.001

0.659–0.833

Eubacterium_ramulus

0.654

0.003

0.556–0.753

      

Lachnospiraceae_bacterium_1_1_57FAA

0.664

0.001

0.575–0.752

      

Lactobacillus_mucosae

0.646

0.004

0.544–0.747

      

Megasphaera_micronuciformis

0.607

0.036

0.502–0.712

      

Eubacterium_hallii

   

0.646

0.001

0.564–0.728

   

Roseburia_hominis

   

0.669

<  0.001

0.59–0.748

   

Anaerostipes_hadrus

   

0.633

0.002

0.55–0.716

0.681

0.001

0.581–0.78

Ruminococcus_obeum

   

0.648

0.001

0.5690.728

0.716

<  0.001

0.626–0.806

Ruminococcus_sp_51_39BFAA

   

0.669

<  0.001

0.588–0.75

0.751

<  0.001

0.659–0.844

Bacteroides_ovatus

      

0.731

< 0.001

0.637–0.824

Dorea_formicigenerans

      

0.628

0.017

0.527–0.728

Ruminococcus_bromii

      

0.698

< 0.001

0.603–0.792

Ruminococcus_torques

      

0.699

< 0.001

0.594–0.804

Fecal metabolites

 

Cyclohexylsulfamate

0.763

0.025

0.512–1

      

1-Palmitoylglycerol

0.831

0.005

0.677–0.986

      

Phe-Ile

0.763

0.025

0.56–0.966

      

2-Dehydro-3-deoxy-D-gluconate

      

0.712

0.013

0.549–0.875

Ile-Thr

      

0.688

0.028

0.511–0.865