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Gut microbiota and coronary artery disease - preliminary results

Session Poster Session 1

Speaker Emilia Sawicka

Congress : Heart Failure 2019

  • Topic : coronary artery disease, acute coronary syndromes, acute cardiac care
  • Sub-topic : Coronary Artery Disease - Pathophysiology and Mechanisms
  • Session type : Poster Session
  • FP Number : P502

Authors : E Sawicka (Bialystok,PL), M Lapinska (Bialystok,PL), M Szpakowicz (Bialystok,PL), Z Stachurska (Bialystok,PL), M Paniczko (Bialystok,PL), M Puchalski (Bialystok,PL), P Lopienski (Bialystok,PL), E Tarasiuk (Bialystok,PL), A Szpakowicz (Bialystok,PL), P Sowa (Bialystok,PL), M Kwasniewski (Bialystok,PL), M Niemira (Bialystok,PL), S Dobrzycki (Bialystok,PL), B Sobkowicz (Bialystok,PL), KA Kaminski (Bialystok,PL)

Authors:
E Sawicka1 , M Lapinska2 , M Szpakowicz2 , Z Stachurska2 , M Paniczko2 , M Puchalski3 , P Lopienski3 , E Tarasiuk4 , A Szpakowicz1 , P Sowa2 , M Kwasniewski5 , M Niemira6 , S Dobrzycki7 , B Sobkowicz4 , KA Kaminski1 , 1Medical University of Bialystok, Department of Cardiology, Department of Population Medicine and Civilization Diseases Prevention - Bialystok - Poland , 2Medical University of Bialystok, Department of Population Medicine and Civilization Diseases Prevention - Bialystok - Poland , 3Medical University of Bialystok, Students’ Scientific Group of the Department of Cardiology - Bialystok - Poland , 4Medical University of Bialystok, Department of Cardiology - Bialystok - Poland , 5Medical University of Bialystok, Centre for Bioinformatics and Data Analysis - Bialystok - Poland , 6Medical University of Bialystok, Center for Clinical Research - Bialystok - Poland , 7Medical University of Bialystok, Department of Invasive Cardiology - Bialystok - Poland ,

Citation:

Background: Coronary artery disease (CAD) is one of the most common causes of hospitalization, death and disability in Europe. Despite the knowledge of classical CAD risk factors, the morbidity and mortality associated with this disease remains high. As a consequence, new factors that may lead to CAD, like gut microbiome, are taking into consideration.

Purpose: To evaluate gut microbiota composition in CAD patients. To compare intestinal microbiome of patients with acute coronary syndrome (ACS) in relation to patients who underwent elective percutaneous coronary intervention (PCI).

Methods: The study included stool microbiome of  92 CAD patients, aged 64.6±7.6 years (72 males) who were hospitalized 12-18 months prior recruitment due to an ACS (ST-elevation myocardial infarction, n=22; non-ST elevation myocardial infarction, n=22; unstable angina, n=14) or PCI (n=34). All patients underwent detailed assessment of health status, including biochemical tests and stool sample collection.
Stool samples were collected in Stool Tubes with DNA stabilizer. DNA was isolated with the use of the PSP-Spin Stool-DNA kit. Further analyses were based on the V3-V4 region of the 16S rRNA gene (Next Generation Sequencing method).

Results: We identified 8 clusters of bacteria (Table). The analysis revealed that the gut microbiome consists mostly of Bacteroidetes, Firmicutes and Actinobacteria, with the largest abundance of reads for Bacteroidetes (Table). Study groups did not differ in terms of the most abundant bacteria (Table). There was no difference in Firmicutes/Bacteroidetes ratio between study groups (Figure).

Conclusions: Among CAD patients, there are no significant differences in gut microbiome composition between patients with ACS and PCI. The analysis in larger CAD population as well as patients without CAD is required.

Cluster

Patients with acute coronary syndrome (n=58)

Patients with elective percutaneous coronary intervention (n=34)

All coronary artery disease patients (n=92)

P value

Bacteroidetes

9147 IQR: 5891 - 15639

8572 IQR: 5565 - 16069

9011.5 IQR: 5698 - 15854

0.977

Firmicutes

6000 IQR: 3468 - 8742

5285.5 IQR: 2740 - 10641

5896 IQR: 3210 - 9595.5

0.958

Actinobacteria

205.5 IQR: 57 - 625

234 IQR: 29 - 689

214.5 IQR: 46 - 684

0.799

Lentisphaera

1.5 IQR: 0 - 15

4 IQR: 0 - 14

2 IQR: 0 - 14.5

0.555

Proteobacteria

3 IQR: 0 - 8

4 IQR: 2 - 9

3 IQR: 1 - 9

0.328

Cyanobacteria

0 IQR: 0 - 0

0 IQR: 0 - 0

0 IQR: 0 - 0

0.843

Verrucomicrobia

0 IQR: 0 - 3

0 IQR: 0 - 0

0 IQR: 0 - 2

0.026

Tenericutes

0 IQR: 0 - 0

0 IQR: 0 - 0

0 IQR: 0 - 0

0.749

Other

1 IQR: 0 - 100

0 IQR: 0 - 48

0 IQR: 0 - 62

0.365

The distribution of operational taxonomic unit reads in CAD patients.


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