Microbial function and genital inflammation in young South African women at high risk of HIV infection

Bibliographic Details
Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection
Authors: Arghavan Alisoltani, Monalisa T. Manhanzva, Matthys Potgieter, Christina Balle, Liam Bell, Elizabeth Ross, Arash Iranzadeh, Michelle du Plessis, Nina Radzey, Zac McDonald, Bridget Calder, Imane Allali, Nicola Mulder, Smritee Dabee, Shaun Barnabas, Hoyam Gamieldien, Adam Godzik, Jonathan M. Blackburn, David L. Tabb, Linda-Gail Bekker, Heather B. Jaspan, Jo-Ann S. Passmore, Lindi Masson
Source: Microbiome, Vol 8, Iss 1, Pp 1-21 (2020)
Publisher Information: BMC, 2020.
Publication Year: 2020
Collection: LCC:Microbial ecology
Subject Terms: Metaproteomics, Microbiome, Microbial function, Female genital tract, Inflammation, Cytokine, Microbial ecology, QR100-130
More Details: Abstract Background Female genital tract (FGT) inflammation is an important risk factor for HIV acquisition. The FGT microbiome is closely associated with inflammatory profile; however, the relative importance of microbial activities has not been established. Since proteins are key elements representing actual microbial functions, this study utilized metaproteomics to evaluate the relationship between FGT microbial function and inflammation in 113 young and adolescent South African women at high risk of HIV infection. Women were grouped as having low, medium, or high FGT inflammation by K-means clustering according to pro-inflammatory cytokine concentrations. Results A total of 3186 microbial and human proteins were identified in lateral vaginal wall swabs using liquid chromatography-tandem mass spectrometry, while 94 microbial taxa were included in the taxonomic analysis. Both metaproteomics and 16S rRNA gene sequencing analyses showed increased non-optimal bacteria and decreased lactobacilli in women with FGT inflammatory profiles. However, differences in the predicted relative abundance of most bacteria were observed between 16S rRNA gene sequencing and metaproteomics analyses. Bacterial protein functional annotations (gene ontology) predicted inflammatory cytokine profiles more accurately than bacterial relative abundance determined by 16S rRNA gene sequence analysis, as well as functional predictions based on 16S rRNA gene sequence data (p < 0.0001). The majority of microbial biological processes were underrepresented in women with high inflammation compared to those with low inflammation, including a Lactobacillus-associated signature of reduced cell wall organization and peptidoglycan biosynthesis. This signature remained associated with high FGT inflammation in a subset of 74 women 9 weeks later, was upheld after adjusting for Lactobacillus relative abundance, and was associated with in vitro inflammatory cytokine responses to Lactobacillus isolates from the same women. Reduced cell wall organization and peptidoglycan biosynthesis were also associated with high FGT inflammation in an independent sample of ten women. Conclusions Both the presence of specific microbial taxa in the FGT and their properties and activities are critical determinants of FGT inflammation. Our findings support those of previous studies suggesting that peptidoglycan is directly immunosuppressive, and identify a possible avenue for biotherapeutic development to reduce inflammation in the FGT. To facilitate further investigations of microbial activities, we have developed the FGT-DB application that is available at http://fgtdb.org/ . Video Abstract
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2049-2618
Relation: http://link.springer.com/article/10.1186/s40168-020-00932-8; https://doaj.org/toc/2049-2618
DOI: 10.1186/s40168-020-00932-8
Access URL: https://doaj.org/article/9a61dc78f80346e5ac25baba9cbcd1f2
Accession Number: edsdoj.9a61dc78f80346e5ac25baba9cbcd1f2
Database: Directory of Open Access Journals
More Details
ISSN:20492618
DOI:10.1186/s40168-020-00932-8
Published in:Microbiome
Language:English