16S rRNA Metabarcoding Used to Identify the Etiology of Infective Endocarditis Agents

TL;DR

This study shows that 16S rRNA metabarcoding can effectively identify bacteria causing infective endocarditis in heart valves.

Contribution

The study demonstrates the effectiveness of 16S rRNA metabarcoding for identifying bacterial agents in infective endocarditis.

Findings

Streptococcus was the most common bacteria found in 40% of the valves studied.

Rare bacteria like Ralstonia pickettii were also identified in the samples.

16S rRNA metabarcoding proved more effective than routine noninvasive methods for diagnosis.

Abstract

The aim of the study was to estimate the efficiency of identifying bacterial agents in native cardiac valves affected by infective endocarditis using 16S rRNA metabarcoding.

The study material involved 20 native cardiac valve samples from 16 patients. Sequencing was carried out in the Center for Collective Use “Genomics” (Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Russia) on a sequenator MiSeq (Illumina, USA) using MiSeq Reagent Kit v3 (2×300 bp; Illumina, USA).

The study revealed major microorganisms (their portion in the sample under study was over 5% from all identified bacterial agents) belonging to Streptococcus (40% of all valves studied), Sphingomonas (35%), Pseudomonas (35%), Roseateles (25%), Phyllobacterium (25%), and Enterococcus (15%). Moreover, the studied valves were found to have rare cases of Ralstonia pickettii, as well as Bacillus and Klebsiella representatives.

The findings demonstrated the efficiency of 16S rRNA metabarcoding in identifying bacterial agents compared to routine noninvasive diagnostic methods. Native cardiac valves isolated from the patients with infective endocarditis were characterized by numerous opportunistic pathogenic bacteria in negative blood cultures.

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