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Current Viewpoint on Female Urogenital Microbiome-The Cause or the Consequence?
Marina Čeprnja1, Edin Hadžić2, Damir Oros2
1Biochemical Laboratory, Special Hospital Agram, Polyclinic Zagreb, 10000 Zagreb, Croatia.
Microorganisms
|June 15, 2023
Summary
The urinary tract (UT) has its own microbial ecosystem. Research is exploring how shifts in this UT microbiota relate to cystitis and antimicrobial resistance, using advanced sequencing and modeling.
Area of Science:
- Microbiology
- Urology
- Bioinformatics
Background:
- The urinary tract (UT) harbors a native microbiota, forming a distinct ecosystem.
- The relationship between gut and urinary microbiota origins remains unclear.
- The link between UT microbial shifts and cystitis onset/persistence is not well-established.
Purpose of the Study:
- To investigate the composition and dynamics of the urinary tract microbiota.
- To explore the potential role of UT microbial dysbiosis in cystitis.
- To leverage 'big data' from sequencing and machine learning for novel clinical insights.
Main Methods:
- Next-generation sequencing (NGS) for taxonomic profiling of urine samples.
- Bioinformatics analysis to determine microbial diversity.
- Machine learning techniques to model microbial community interactions.
Main Results:
- NGS enables detailed analysis of UT microbial communities directly from urine.
- Microbiome data, when analyzed with machine learning, can model species interactions.
- These models may elucidate the role of specific microbes in UT health and disease.
Conclusions:
- Understanding the UT microbiome is crucial for deciphering cystitis etiology.
- Microbiome research offers potential for new diagnostic markers and therapeutic strategies.
- Insights into UT microbial ecosystems are vital for combating antimicrobial resistance.
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