# Current Methods in Synovial Fluid Microbiota Characterization: A Systematic Review

**Authors:** Elena Bardi, Daniele D’Arrigo, Chiara Pozzi, Andrea Gatti, Luca Bertolino, Alberto Favaro, Maria Rescigno, Tommaso Bonanzinga

PMC · DOI: 10.3390/ijms26104690 · International Journal of Molecular Sciences · 2025-05-14

## TL;DR

This review examines methods used to study microbes in joint fluid, highlighting the need for standardized techniques to better understand arthritis.

## Contribution

The paper systematically reviews methodological approaches and identifies critical gaps in synovial fluid microbiota research.

## Key findings

- Nine studies used sequencing to detect bacterial DNA in synovial fluid.
- Methodological inconsistencies limit the comparability of results across studies.
- Standardized protocols are needed to improve reproducibility and relevance.

## Abstract

Evidence suggests that a cross-talk between the gut microbiota and joint health exists in a paradigm known as the gut–joint axis. Recent studies have also reported the presence of microorganisms potentially involved in the pathogenesis and progression of arthritis in synovial joints, previously believed to be sterile. This systematic review describes in detail the methodologies employed to characterize the microbiota in human synovial fluid (SF). A literature search was conducted in PubMed, Embase, and Web of Science up to 5 February 2025. Nine studies aimed to characterize the SF microbiome using next-generation sequencing or polymerase chain reaction. Eight studies detected bacterial DNA in SF. However, significant heterogeneity and incomplete reporting in methodologies, including sample collection and preparation, contamination management, DNA extraction and amplification, sequencing technology, targeted 16S rRNA or ITS regions, and bioinformatics processing, limit the comparability and significance of findings. Given the potential implications for understanding arthritis mechanisms and developing targeted treatments, a standardized methodological and reporting approach in SF microbiota characterization is needed to enhance the reproducibility and the relevance of results.

## Linked entities

- **Diseases:** arthritis (MONDO:0005578)

## Full-text entities

- **Diseases:** arthritis (MESH:D001168)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12111447/full.md

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Source: https://tomesphere.com/paper/PMC12111447