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Gut microbiome and heart failure with reduced ejection fraction in patients with coronary artery disease

Session Poster Session 3

Speaker Emilia Sawicka

Congress : Heart Failure 2019

  • Topic : heart failure
  • Sub-topic : Heart Failure with Reduced Ejection Fraction
  • Session type : Poster Session
  • FP Number : P1559

Authors : E Sawicka (Bialystok,PL), M Paniczko (Bialystok,PL), M Lapinska (Bialystok,PL), M Szpakowicz (Bialystok,PL), Z Stachurska (Bialystok,PL), P Lopienski (Bialystok,PL), M Puchalski (Bialystok,PL), E Tarasiuk (Bialystok,PL), A Szpakowicz (Bialystok,PL), P Sowa (Bialystok,PL), M Niemira (Bialystok,PL), M Kwasiewski (Bialystok,PL), J Bychowski (Bialystok,PL), B Sobkowicz (Bialystok,PL), KA Kaminki (Bialystok,PL)

Authors:
E Sawicka1 , M Paniczko2 , M Lapinska2 , M Szpakowicz2 , Z Stachurska2 , P Lopienski3 , M Puchalski3 , E Tarasiuk4 , A Szpakowicz1 , P Sowa2 , M Niemira5 , M Kwasiewski6 , J Bychowski7 , B Sobkowicz4 , KA Kaminki1 , 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, Center for Clinical Research - Bialystok - Poland , 6Medical University of Bialystok, Centre for Bioinformatics and Data Analysis - Bialystok - Poland , 7Regional Hospital in Bialystok, Department of Cardiology and Internal Diseases with the Subunit of Invasive Cardiology - Bialystok - Poland ,

Citation:

Background: Coronary artery disease (CAD) is one of the most common causes of hospitalization and death in Europe. It might leads to heart failure with reduced ejection fraction (HF-REF), which results in disability and decreases quality of life.  As a consequence, new factors, like gut microbiome, that may lead to CAD, and then HF-REF are widely investigated.

Purpose: To evaluate gut microbiota composition in CAD population. To compare the composition of the intestinal microbiome of CAD patients with HF-REF and those who have ejection fraction (EF) at least of 40%.

Methods: The study included stool microbiome of 89 CAD patients, aged 64.3±7.4 years (72 males) who were hospitalized 12-18 months prior recruitment due to an acute coronary syndrome (n=57) or percutaneous coronary intervention (n=32). All patients underwent detailed assessment of health status, including echocardiography with biplane ejection fraction (EF) assessment. Based on EF, HF-REF subgroup was distinguished (n=12).

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). HF-REF group was characterized with almost half of the operational taxonomic units reads in Firmicutes than group without HF-REF (Table). There was no difference in Firmicutes/Bacteroidetes ratio between study groups (Figure).

Conclusions: HF-REF among CAD patients was associated with altered microbiome composition. The analyses in larger subpopulations and in control group is required.

Cluster

Patients with HF-REF (n=12)

Patients without HF-REF (n=77)

All coronary artery disease patients (n=89)

P value

Bacteroidetes

11349.5 IQR: 4698 - 18406.5

9161 IQR: 5891 - 15058

9161 IQR: 5881 - 16069

0.815

Firmicutes

3210 IQR: 2327 - 5499.5

6040 IQR: 3484 - 9826

5815 IQR: 3334 - 9470

0.018

Actinobacteria

67.5 IQR: 25.5 - 447.5

223 IQR: 46 - 770

205 IQR: 46 - 679

0.264

Lentisphaera

0 IQR: 0 - 8

4 IQR: 0 - 16

2 IQR: 0 - 14

0.182

Proteobacteria

6 IQR: 2 - 14.5

3 IQR: 1 - 8

3 IQR: 1 - 9

0.218

Cyanobacteria

0 IQR: 0 - 0

0 IQR: 0 - 0

0 IQR: 0 - 0

0.778

Verrucomicrobia

0 IQR: 0 - 0

0 IQR: 0 - 3

0 IQR: 0 - 2

0.192

Tenericutes

0 IQR: 0 - 0

0 IQR: 0 - 0

0 IQR: 0 - 0

0.475

Other

0 IQR: 0 - 48.5

1 IQR: 0 - 62

0 IQR: 0 - 62

0.505

Table. The distribution of operational taxonomic unit reads in study groups.


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