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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.
Afiliación
  • O'Connell CM; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Brochu H; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA.
  • Girardi J; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Harrell E; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA.
  • Jones A; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA.
  • Darville T; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Seña AC; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Peng X; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Microb Cell ; 6(3): 177-183, 2019 Jan 24.
Article en En | MEDLINE | ID: mdl-30854394
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Microb Cell Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Microb Cell Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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