Analysis of the gut microbiota profile targeted to multiple hypervariable regions of 16S rRNA in a hypertensive heart failure rat model.

Abstract

The gut microbiota, comprising a diverse community of microorganisms, significantly influences various aspects of health. Changes in the composition of the gut microbiota are implicated in adverse effects on host physiology, contributing to the pathogenesis of cardiovascular diseases, among others pathological conditions. Understanding the role of the gut microbiota in the context of heart failure is particularly important. In this regard, the spontaneously hypertensive heart failure (SHHF) rat is an adequate experimental model since exhibits many features in common with heart failure (HF) in humans. Recent advancements in next-generation sequencing (NGS) have greatly improved microbiome analysis. However, standardization and the adoption of best practices are essential to mitigate experimental variations across studies. This manuscript outlines a straightforward methodology for analyzing gut microbiota composition in SHHF rat fecal samples using 16S rRNA sequencing, emphasizing the relevance of gut microbiota in heart failure.