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Chambers LC, Tapia KA, Srinivasan S, Proll S, Morgan JL, Hoffman NG, Lowens MS, Glick SN, Khosropour CM, Golden MR, Hughes JP, Manhart LE, Fredricks DN. The Relationship Between Insertive Oral and Anal Sex and Select Measures of the Composition of the Urethral Microbiota Among Men Who Have Sex With Men. Sex Transm Dis 2024; 51:407-414. [PMID: 38403292 PMCID: PMC11088528 DOI: 10.1097/olq.0000000000001959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
BACKGROUND Sexual behavior may influence the composition of the male urethral microbiota, but this hypothesis has not been tested in longitudinal studies of men who have sex with men (MSM). METHODS From December 2014 to July 2018, we enrolled MSM with nongonococcal urethritis (NGU) attending a sexual health clinic. Men attended 5 in-clinic visits at 3-week intervals, collected weekly urine specimens at home, and reported daily antibiotics and sexual activity on weekly diaries. We applied broad-range 16S rRNA gene sequencing to urine. We used generalized estimating equations to estimate the association between urethral sexual exposures in the prior 7 days (insertive oral sex [IOS] only, condomless insertive anal intercourse [CIAI] only, IOS with CIAI [IOS + CIAI], or none) and Shannon index, number of species (observed, oral indicator, and rectal indicator), and specific taxa, adjusting for recent antibiotics, age, race/ethnicity, HIV, and preexposure prophylaxis. RESULTS Ninety-six of 108 MSM with NGU attended ≥1 follow-up visit. They contributed 1140 person-weeks of behavioral data and 1006 urine specimens. Compared with those with no urethral sexual exposures, those with IOS only had higher Shannon index ( P = 0.03 ) but similar number of species and presence of specific taxa considered, adjusting for confounders; the exception was an association with Haemophilus parainfluenzae . CIAI only was not associated with measured aspects of the urethral microbiota. IOS + CIAI was only associated with presence of H. parainfluenzae and Haemophilus . CONCLUSIONS Among MSM after NGU, IOS and CIAI did not seem to have a substantial influence on measured aspects of the composition of the urethral microbiota.
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Affiliation(s)
- Laura C. Chambers
- Department of Epidemiology, University of Washington,
Seattle, Washington
| | - Kenneth A. Tapia
- Department of Global Health, University of Washington,
Seattle, Washington
| | - Sujatha Srinivasan
- Vaccine and Infectious Disease Division, Fred Hutchinson
Cancer Center, Seattle, Washington
| | - Sean Proll
- Vaccine and Infectious Disease Division, Fred Hutchinson
Cancer Center, Seattle, Washington
| | - Jennifer L. Morgan
- HIV/STI/HCV Program, Public Health – Seattle and
King County, Seattle, Washington
| | - Noah G. Hoffman
- Department of Laboratory Medicine and Pathology, University
of Washington, Seattle, Washington
| | - M. Sylvan Lowens
- HIV/STI/HCV Program, Public Health – Seattle and
King County, Seattle, Washington
| | - Sara N. Glick
- Department of Epidemiology, University of Washington,
Seattle, Washington
- HIV/STI/HCV Program, Public Health – Seattle and
King County, Seattle, Washington
- Department of Medicine, University of Washington, Seattle,
Washington
| | | | - Matthew R. Golden
- Department of Epidemiology, University of Washington,
Seattle, Washington
- HIV/STI/HCV Program, Public Health – Seattle and
King County, Seattle, Washington
- Department of Medicine, University of Washington, Seattle,
Washington
| | - James P. Hughes
- Department of Biostatistics, University of Washington,
Seattle, Washington
| | - Lisa E. Manhart
- Department of Epidemiology, University of Washington,
Seattle, Washington
- Department of Global Health, University of Washington,
Seattle, Washington
| | - David N. Fredricks
- Vaccine and Infectious Disease Division, Fred Hutchinson
Cancer Center, Seattle, Washington
- Department of Medicine, University of Washington, Seattle,
Washington
- Department of Microbiology, University of Washington,
Seattle, Washington
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Lin Y, Liang X, Li Z, Gong T, Ren B, Li Y, Peng X. Omics for deciphering oral microecology. Int J Oral Sci 2024; 16:2. [PMID: 38195684 PMCID: PMC10776764 DOI: 10.1038/s41368-023-00264-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/03/2023] [Accepted: 11/27/2023] [Indexed: 01/11/2024] Open
Abstract
The human oral microbiome harbors one of the most diverse microbial communities in the human body, playing critical roles in oral and systemic health. Recent technological innovations are propelling the characterization and manipulation of oral microbiota. High-throughput sequencing enables comprehensive taxonomic and functional profiling of oral microbiomes. New long-read platforms improve genome assembly from complex samples. Single-cell genomics provides insights into uncultured taxa. Advanced imaging modalities including fluorescence, mass spectrometry, and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing resolution. Fluorescence techniques link phylogenetic identity with localization. Mass spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for classification. Culturomics facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput approaches. Ongoing integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly, gene expression, metabolites, microenvironments, virulence mechanisms, and microbe-host interfaces in the context of health and disease. However, significant knowledge gaps persist regarding community origins, developmental trajectories, homeostasis versus dysbiosis triggers, functional biomarkers, and strategies to deliberately reshape the oral microbiome for therapeutic benefit. The convergence of sequencing, imaging, cultureomics, synthetic systems, and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict, prevent, diagnose, and treat associated oral diseases.
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Affiliation(s)
- Yongwang Lin
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xiaoyue Liang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhengyi Li
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Tao Gong
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Biao Ren
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yuqing Li
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xian Peng
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
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