Culturomics in Unraveling the Upper Female Reproductive Tract Microbiota

Thieme. All rights reserved..

In recent years, the study of the human microbiome has surged, shedding light on potential connections between microbiome composition and various diseases. One specific area of intense interest within this research is the female reproductive tract, as it holds the potential to influence the process of embryo implantation. Advanced sequencing technologies have delivered unprecedented insights into the microbial communities, also known as microbiota, residing in the female reproductive tract. However, their efficacy encounters significant challenges when analyzing low-biomass microbiota, such as those present in the endometrium. These molecular techniques are susceptible to contamination from laboratory reagents and extraction kits, leading to sequencing bias that can significantly alter the perceived taxonomy of a sample. Consequently, investigating the microbiota of the upper female reproductive tract necessitates the exploration of alternative methods. In this context, the current review delves into the application of culturomics in unraveling the upper female reproductive tract microbiota. While culturomics holds value in research, its transition to routine clinical practice appears remote, at least in the foreseeable future.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:41

Enthalten in:

Seminars in reproductive medicine - 41(2023), 5 vom: 08. Sept., Seite 151-159

Sprache:

Englisch

Beteiligte Personen:

Vanstokstraeten, Robin [VerfasserIn]
Demuyser, Thomas [VerfasserIn]
Piérard, Denis [VerfasserIn]
Wybo, Ingrid [VerfasserIn]
Blockeel, Christophe [VerfasserIn]
Mackens, Shari [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Review

Anmerkungen:

Date Completed 08.02.2024

Date Revised 08.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1055/s-0043-1777758

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365921459