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  Microbiota-based analysis reveals specific bacterial traits and a novel strategy for the diagnosis of infectious infertility

Graspeuntner, S., Bohlmann, M. K., Gillmann, K., Speer, R., Kuenzel, S., Mark, H., et al. (2018). Microbiota-based analysis reveals specific bacterial traits and a novel strategy for the diagnosis of infectious infertility. PLoS One, 13(1): e0191047. doi:10.1371/journal.pone.0191047.

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 Creators:
Graspeuntner, Simon, Author
Bohlmann, Michael K., Author
Gillmann, Kathrin, Author
Speer, Runa, Author
Kuenzel, Sven1, Author           
Mark, Heike, Author
Hoellen, Friederike, Author
Lettau, Reinhard, Author
Griesinger, Georg, Author
König, Inke R., Author
Baines, John F.2, Author           
Rupp, Jan, Author
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              
2Guest Group Evolutionary Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445638              

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Free keywords: bacterial protein; chaperonin 60; immunoglobulin A; immunoglobulin G; immunoglobulin G antibody; protein CPAF; protein MOMP; protein OMP2; RNA 16S; unclassified drug, 16SrRNA gene; amplicon; Article; cervical microbiota; Chlamydia trachomatis; controlled study; female; female infertility; Gardnerella; human; informed consent; Lactobacillus; microbial diversity; microflora; Mycoplasma genitalium; Mycoplasma hominis; Neisseria gonorrhoeae; nonhuman; pathogenesis; polymerase chain reaction; seroprevalence; Ureaplasma urealyticum; vagina flora
 Abstract: Tubal factor infertility (TFI) accounts for more than 30 of the cases of female infertility and mostly resides from an inflammatory process triggered by an infection. Clinical appearances largely differ, and very often infections are not recognized or remain completely asymptomatic over time. Here, we characterized the microbial pattern in females diagnosed with infectious infertility (ININF) in comparison to females with non-infectious infertility (nININF), female sex workers (FSW) and healthy controls (fertile). Females diagnosed with infectious infertility differed significantly in the seroprevalence of IgG antibodies against the C. trachomatis proteins MOMP, OMP2, CPAF and HSP60 when compared to fertile females. Microbiota analysis using 16S amplicon sequencing of cervical swabs revealed significant differences between ININF and fertile controls in the relative read count of Gardnerella (10.08 vs. 5.43). Alpha diversity varies among groups, which are characterized by community state types including Lactobacillus-dominated communities in fertile females, an increase in diversity in all the other groups and Gardnerella-dominated communities occurring more often in ININF. While all single parameters did not allow predicting infections as the cause of infertility, including C. trachomatis IgG/IgA status together with 16S rRNA gene analysis of the ten most frequent taxa a total of 93.8 of the females were correctly classified. Further studies are needed to unravel the impact of the cervical microbiota in the pathogenesis of infectious infertility and its potential for identifying females at risk earlier in life. © 2018 Graspeuntner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Language(s): eng - English
 Dates: 2017-09-182017-12-272018-01-092018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pone.0191047
 Degree: -

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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 13 (1) Sequence Number: e0191047 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850