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Chen R, Peng C, Wang Z, Xiao Y, Tang S. Effects of vaginal microbiota on human papillomavirus infection and its related diseases. Microb Pathog 2024; 193:106761. [PMID: 38925345 DOI: 10.1016/j.micpath.2024.106761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/29/2024] [Accepted: 06/24/2024] [Indexed: 06/28/2024]
Abstract
With the knowledge of female reproductive tract microbiota gradually increasing, the connection between vaginal microbiota (VMB) and its related diseases is increasingly highlighted. Manifestation of VMB keeps changing with various dominated bacteria, which can affect the immune response of mucosal barrier and the entrance of pathogens. Human papillomavirus (HPV), as an oncogenic virus, is closely related to viral-associated cancer, such as cervical cancer. According to HPV infection status, VMB can transform into different types, and result in accelerating or restraining the progression of diseases, which have exposed the inner link between VMB and HPV. Therefore, probiotics therapy promises to be a new complementary therapy to rebuild a healthy VMB for patients, but there's still a long way to go before its ready for the clinic. This review focuses on composition, immune response, and application of VMB in HPV and its associated diseases and aims to provide the new ideas and directions for the research on VMB.
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Affiliation(s)
- Ranzhong Chen
- Hunan Provincial Key Laboratory for Special Pathogens Prevention and Control, Institute of pathogenic Biology, School of Basic Medicine Sciences, Hengyang Medical College, University of South China, Hengyang 421001, Hunan, People's Republic of China.
| | - Changmin Peng
- School of Public Health, Hengyang Medical College, University of South China, Hengyang 421001, Hunan, China.
| | - Zhenlei Wang
- Hunan Provincial Key Laboratory for Special Pathogens Prevention and Control, Institute of pathogenic Biology, School of Basic Medicine Sciences, Hengyang Medical College, University of South China, Hengyang 421001, Hunan, People's Republic of China.
| | - Yuanyuan Xiao
- School of Public Health, Hengyang Medical College, University of South China, Hengyang 421001, Hunan, China.
| | - Shuangyang Tang
- Hunan Provincial Key Laboratory for Special Pathogens Prevention and Control, Institute of pathogenic Biology, School of Basic Medicine Sciences, Hengyang Medical College, University of South China, Hengyang 421001, Hunan, People's Republic of China.
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Ottinger S, Robertson CM, Branthoover H, Patras KA. The human vaginal microbiota: from clinical medicine to models to mechanisms. Curr Opin Microbiol 2024; 77:102422. [PMID: 38215548 PMCID: PMC11160953 DOI: 10.1016/j.mib.2023.102422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 01/14/2024]
Abstract
The composition of the vaginal microbiota is linked to numerous reproductive health problems, including increased susceptibility to infection, pregnancy complications, and impaired vaginal tissue repair; however, the mechanisms contributing to these adverse outcomes are not yet fully defined. In this review, we highlight recent clinical advancements associating vaginal microbiome composition and function with health outcomes. Subsequently, we provide a summary of emerging models employed to identify microbe-microbe interactions contributing to vaginal health, including metagenomic sequencing, multi-omics approaches, and advances in vaginal microbiota cultivation. Last, we review new in vitro, ex vivo, and in vivo models, such as organoids and humanized microbiota murine models, used to define and mechanistically explore host-microbe interactions at the vaginal mucosa.
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Affiliation(s)
- Samantha Ottinger
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Clare M Robertson
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Holly Branthoover
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kathryn A Patras
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA; Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX 77030, USA.
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Zhou Q, Yu Y, Zhou J, Liu J, Gao J. Relationship of Lactobacillus Vaginal Microbiota Changes and the Risk of Preterm Birth: A Systematic Review and Meta-Analysis. J Womens Health (Larchmt) 2024; 33:228-238. [PMID: 38064523 DOI: 10.1089/jwh.2023.0393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Abstract
Objective: With a global incidence of more than 10%, preterm birth (PTB) remains a significant concern. The vaginal microbiome strongly influences the well-being of the female reproductive tract. This study examines the correlation between changes in Lactobacillus vaginal microbiota and the PTB risk. Materials and Methods: A thorough search of PubMed, Web of Science, Cochrane Library, and EMBASE was conducted to locate studies that examined the association between changes in Lactobacillus vaginal microbiota and the risk of PTB from January 1, 2010, to January 30, 2023. The risk of PTB was determined by calculating odds ratios (ORs) with 95% confidence intervals (CIs). Results: In our analysis, there were 11 studies with 1577 pregnant women. The findings revealed a significant negative correlation between higher Lactobacillus abundance and the PTB risk (OR = 0.49, 95% CI: 0.29-0.84, p = 0.009 < 0.05). Similarly, the four individual dominant species, Lactobacillus crispatus (OR = 0.3, 95% CI: 0.14-0.67, p = 0.003 < 0.05), Lactobacillus gasseri (OR = 0.34, 95% CI: 0.17-0.69, p = 0.003 < 0.05), Lactobacillus iners (OR = 0.68, 95% CI: 0.49-0.93, p = 0.016 < 0.05), and Lactobacillus jensenii (OR = 0.43, 95% CI: 0.21-0.89, p = 0.024 < 0.05), were also negatively associated with the PTB risk. The risk of Lactobacillus for PTB was significant in both America (OR = 0.67; 95% CI: 0.50-0.92) and Asia (OR = 0.20; 95% CI: 0.09-0.47), whereas no significant risk was found in Europe (OR = 0.49; 95% CI: 0.11-2.15). Conclusions: Our study demonstrated that the abundance of Lactobacillus and the four dominant individual species (L. crispatus, L. jensenii, L. iners, and L. gasseri) were significantly and negatively associated with the PTB risk.
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Affiliation(s)
- Qian Zhou
- Department of Obstetrics & Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - Yi Yu
- Department of Obstetrics & Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - Jingwen Zhou
- Department of Obstetrics & Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - Juntao Liu
- Department of Obstetrics & Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - Jinsong Gao
- Department of Obstetrics & Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
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Bruijning M, Ayroles JF, Henry LP, Koskella B, Meyer KM, Metcalf CJE. Relative abundance data can misrepresent heritability of the microbiome. MICROBIOME 2023; 11:222. [PMID: 37814275 PMCID: PMC10561453 DOI: 10.1186/s40168-023-01669-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/13/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Host genetics can shape microbiome composition, but to what extent it does, remains unclear. Like any other complex trait, this important question can be addressed by estimating the heritability (h2) of the microbiome-the proportion of variance in the abundance in each taxon that is attributable to host genetic variation. However, unlike most complex traits, microbiome heritability is typically based on relative abundance data, where taxon-specific abundances are expressed as the proportion of the total microbial abundance in a sample. RESULTS We derived an analytical approximation for the heritability that one obtains when using such relative, and not absolute, abundances, based on an underlying quantitative genetic model for absolute abundances. Based on this, we uncovered three problems that can arise when using relative abundances to estimate microbiome heritability: (1) the interdependency between taxa can lead to imprecise heritability estimates. This problem is most apparent for dominant taxa. (2) Large sample size leads to high false discovery rates. With enough statistical power, the result is a strong overestimation of the number of heritable taxa in a community. (3) Microbial co-abundances lead to biased heritability estimates. CONCLUSIONS We discuss several potential solutions for advancing the field, focusing on technical and statistical developments, and conclude that caution must be taken when interpreting heritability estimates and comparing values across studies. Video Abstract.
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Affiliation(s)
- Marjolein Bruijning
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE, Amsterdam, The Netherlands.
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.
| | - Julien F Ayroles
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ, 08544, USA
| | - Lucas P Henry
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ, 08544, USA
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York City, 10003, USA
| | - Britt Koskella
- Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA
| | - Kyle M Meyer
- Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA
| | - C Jessica E Metcalf
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
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Tossas KY, Zhu B, Perera RA, Serrano MG, Sullivan S, Sayeed S, Strauss JF, Winn RA, Buck GA, Seewaldt VL. Does the Vaginal Microbiome Operate Differently by Race to Influence Risk of Precervical Cancer? J Womens Health (Larchmt) 2023; 32:553-560. [PMID: 36897755 PMCID: PMC10171949 DOI: 10.1089/jwh.2022.0309] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
Background: The vaginal microbiome (VMB) plays an important role in the persistence of human papillomavirus (HPV) infection and differs by race and among women with cervical intraepithelial neoplasia (CIN). Materials and Methods: We explored these relationships using 16S rRNA VMB taxonomic profiles of 3050 predominantly Black women. VMB profiles were assigned to three subgroups based on taxonomic markers indicative of vaginal wellness: optimal (Lactobacillus crispatus, L. gasseri, and L. jensenii), moderate (L. iners), and suboptimal (Gardnerella vaginalis, Atopobium vaginae, Ca. Lachnocurva vaginae, and others). Multivariable Firth logistic regression models were adjusted for age, smoking, VMB, HPV, and pregnancy status. Results: VMB prevalence by subgroup was 18%, 30%, and 51% for the optimal, moderate, and suboptimal groups, respectively. In fully adjusted models, the risk of CIN grade 3 (CIN3) among non-Latina (nL) Blacks was twice that of nL Whites (odds ratio [OR] = 2.0, 95% confidence interval [CI]: 1.1, 3.9, p = 0.02). The VMB modified this association (p = 0.04) such that the risk of CIN3 was significantly higher for nL Blacks than for nL Whites only among women with optimal VMBs (OR = 7.8, 95% CI: 1.7, 74.5, p = 0.007). Within racial groups, the risk of CIN3 was only elevated among nL White women with suboptimal VMBs (OR = 6.0, 95% CI: 1.3, 56.9, p = 0.02) compared with their racial counterparts with optimal VMBs. Conclusions: Our findings suggest that race is a modifier of the VMB in HPV carcinogenesis. An optimal VMB does not appear to be protective for nL Black women compared with nL White women.
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Affiliation(s)
- Katherine Y. Tossas
- Department of Health Behavior and Policy and Division of Epidemiology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Family Medicine and Population Health, Division of Epidemiology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Bin Zhu
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Robert A. Perera
- Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Myrna G. Serrano
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stephanie Sullivan
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sadia Sayeed
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jerome F. Strauss
- Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert A. Winn
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
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Grieneisen L, Blekhman R, Archie E. How longitudinal data can contribute to our understanding of host genetic effects on the gut microbiome. Gut Microbes 2023; 15:2178797. [PMID: 36794811 PMCID: PMC9980606 DOI: 10.1080/19490976.2023.2178797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
A key component of microbiome research is understanding the role of host genetic influence on gut microbial composition. However, it can be difficult to link host genetics with gut microbial composition because host genetic similarity and environmental similarity are often correlated. Longitudinal microbiome data can supplement our understanding of the relative role of genetic processes in the microbiome. These data can reveal environmentally contingent host genetic effects, both in terms of controlling for environmental differences and in comparing how genetic effects differ by environment. Here, we explore four research areas where longitudinal data could lend new insights into host genetic effects on the microbiome: microbial heritability, microbial plasticity, microbial stability, and host and microbiome population genetics. We conclude with a discussion of methodological considerations for future studies.
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Affiliation(s)
- Laura Grieneisen
- Department of Biology, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Elizabeth Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
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Zhu B, Tao Z, Edupuganti L, Serrano MG, Buck GA. Roles of the Microbiota of the Female Reproductive Tract in Gynecological and Reproductive Health. Microbiol Mol Biol Rev 2022; 86:e0018121. [PMID: 36222685 PMCID: PMC9769908 DOI: 10.1128/mmbr.00181-21] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The microbiome of the female reproductive tract defies the convention that high biodiversity is a hallmark of an optimal ecosystem. Although not universally true, a homogeneous vaginal microbiome composed of species of Lactobacillus is generally associated with health, whereas vaginal microbiomes consisting of other taxa are generally associated with dysbiosis and a higher risk of disease. The past decade has seen a rapid advancement in our understanding of these unique biosystems. Of particular interest, substantial effort has been devoted to deciphering how members of the microbiome of the female reproductive tract impact pregnancy, with a focus on adverse outcomes, including but not limited to preterm birth. Herein, we review recent research efforts that are revealing the mechanisms by which these microorganisms of the female reproductive tract influence gynecologic and reproductive health of the female reproductive tract.
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Affiliation(s)
- Bin Zhu
- Microbiology & Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Zhi Tao
- Microbiology & Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Obstetrics and Gynecology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Laahirie Edupuganti
- Microbiology & Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Myrna G. Serrano
- Microbiology & Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Microbiology & Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA
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Morales CG, Jimenez NR, Herbst-Kralovetz MM, Lee NR. Novel Vaccine Strategies and Factors to Consider in Addressing Health Disparities of HPV Infection and Cervical Cancer Development among Native American Women. Med Sci (Basel) 2022; 10:52. [PMID: 36135837 PMCID: PMC9503187 DOI: 10.3390/medsci10030052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/31/2022] [Accepted: 09/05/2022] [Indexed: 12/24/2022] Open
Abstract
Cervical cancer is the 4th most common type of cancer in women world-wide. Many factors play a role in cervical cancer development/progression that include genetics, social behaviors, social determinants of health, and even the microbiome. The prevalence of HPV infections and cervical cancer is high and often understudied among Native American communities. While effective HPV vaccines exist, less than 60% of 13- to 17-year-olds in the general population are up to date on their HPV vaccination as of 2020. Vaccination rates are higher among Native American adolescents, approximately 85% for females and 60% for males in the same age group. Unfortunately, the burden of cervical cancer remains high in many Native American populations. In this paper, we will discuss HPV infection, vaccination and the cervicovaginal microbiome with a Native American perspective. We will also provide insight into new strategies for developing novel methods and therapeutics to prevent HPV infections and limit HPV persistence and progression to cervical cancer in all populations.
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Affiliation(s)
- Crystal G. Morales
- Department of Biology, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Nicole R. Jimenez
- Department of Obstetrics and Gynecology, College of Medicine, University of Arizona, Phoenix, AZ 85004, USA
| | - Melissa M. Herbst-Kralovetz
- Department of Obstetrics and Gynecology, College of Medicine, University of Arizona, Phoenix, AZ 85004, USA
- Department of Basic Medical Sciences, College of Medicine, University of Arizona, Phoenix, AZ 85004, USA
| | - Naomi R. Lee
- Department of Chemistry and Biochemistry, Northern Arizona University, Flagstaff, AZ 86011, USA
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