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Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis
Pelvic inflammatory disease (PID) is a female upper genital tract inflammatory disorder that arises after sexually transmitted bacterial infections (STI). Factors modulating risk for reproductive sequelae include co-infection, microbiota, host genetics and physiology. In a pilot study of cervical sa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shared Science Publishers OG
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402362/ https://www.ncbi.nlm.nih.gov/pubmed/30854394 http://dx.doi.org/10.15698/mic2019.03.672 |
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author | O'Connell, Catherine M. Brochu, Hayden Girardi, Jenna Harrell, Erin Jones, Aiden Darville, Toni Seña, Arlene C. Peng, Xinxia |
author_facet | O'Connell, Catherine M. Brochu, Hayden Girardi, Jenna Harrell, Erin Jones, Aiden Darville, Toni Seña, Arlene C. Peng, Xinxia |
author_sort | O'Connell, Catherine M. |
collection | PubMed |
description | Pelvic inflammatory disease (PID) is a female upper genital tract inflammatory disorder that arises after sexually transmitted bacterial infections (STI). Factors modulating risk for reproductive sequelae include co-infection, microbiota, host genetics and physiology. In a pilot study of cervical samples obtained from women at high risk for STIs, we examined the potential for unbiased characterization of host, pathogen and microbiome interactions using whole transcriptome sequencing analysis of ribosomal RNA-depleted total RNAs (Total RNA-Seq). Only samples from women with STI infection contained pathogen-specific sequences (3 to 38% transcriptome coverage). Simultaneously, we identified and quantified their active microbial communities. After integration with host-derived reads from the same data, we detected clustering of host transcriptional profiles that reflected microbiome differences and STI infection. Together, our study suggests that total RNA profiling will advance understanding of the interplay of pathogen, host and microbiota during natural infection and may reveal novel, outcome-relevant biomarkers. |
format | Online Article Text |
id | pubmed-6402362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shared Science Publishers OG |
record_format | MEDLINE/PubMed |
spelling | pubmed-64023622019-03-08 Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis O'Connell, Catherine M. Brochu, Hayden Girardi, Jenna Harrell, Erin Jones, Aiden Darville, Toni Seña, Arlene C. Peng, Xinxia Microb Cell Research Report Pelvic inflammatory disease (PID) is a female upper genital tract inflammatory disorder that arises after sexually transmitted bacterial infections (STI). Factors modulating risk for reproductive sequelae include co-infection, microbiota, host genetics and physiology. In a pilot study of cervical samples obtained from women at high risk for STIs, we examined the potential for unbiased characterization of host, pathogen and microbiome interactions using whole transcriptome sequencing analysis of ribosomal RNA-depleted total RNAs (Total RNA-Seq). Only samples from women with STI infection contained pathogen-specific sequences (3 to 38% transcriptome coverage). Simultaneously, we identified and quantified their active microbial communities. After integration with host-derived reads from the same data, we detected clustering of host transcriptional profiles that reflected microbiome differences and STI infection. Together, our study suggests that total RNA profiling will advance understanding of the interplay of pathogen, host and microbiota during natural infection and may reveal novel, outcome-relevant biomarkers. Shared Science Publishers OG 2019-01-24 /pmc/articles/PMC6402362/ /pubmed/30854394 http://dx.doi.org/10.15698/mic2019.03.672 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article released under the terms of the Creative Commons Attribution (CC BY) license, which allows the unrestricted use, distribution, and reproduction in any medium, provided the original author and source are acknowledged. |
spellingShingle | Research Report O'Connell, Catherine M. Brochu, Hayden Girardi, Jenna Harrell, Erin Jones, Aiden Darville, Toni Seña, Arlene C. Peng, Xinxia Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title | Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title_full | Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title_fullStr | Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title_full_unstemmed | Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title_short | Simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
title_sort | simultaneous profiling of sexually transmitted bacterial pathogens, microbiome, and concordant host response in cervical samples using whole transcriptome sequencing analysis |
topic | Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402362/ https://www.ncbi.nlm.nih.gov/pubmed/30854394 http://dx.doi.org/10.15698/mic2019.03.672 |
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