Integrating multi-omics data: Modeling biomarkers and mechanisms to reduce bacterial vaginosis recurrence

整合多组学数据:建模生物标志物和机制以减少细菌性阴道病复发

基本信息

  • 批准号:
    10282850
  • 负责人:
  • 金额:
    $ 9.29万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-06-01 至 2026-05-31
  • 项目状态:
    未结题

项目摘要

Bacterial vaginosis (BV) is characterized by a vaginal microbiota with a low abundance of Lactobacillus spp. and higher abundances of anaerobic bacteria and affects nearly 30% of reproductive-age North American women and closer to 50% of sub-Saharan African women. BV is diagnosed by clinical observation of Amsel’s criteria (Amsel-BV), but treatment is only recommended when symptoms are reported, leaving a significant proportion of women untreated. Even with treatment, BV recurrence rates range from 50-70% within 6 months, increasing a woman’s risk of negative sequelae. Regardless of symptoms, BV is associated with serious adverse health outcomes, including preterm birth and HIV, and can seriously impact a woman’s quality of life. Ideal BV treatment would eliminate recurrence. The vaginal microbiome and microenvironment together provide a detailed evaluation of BV states, and hold key functional insights to predict and understand Amsel-BV recurrence. The goal of this proposal is to integrate and operationalize microbiome (metagenomes) and microenvironment (metabolomes and immune markers) data to develop a prognostic indicator of recurrent BV, and identify candidate biomarkers and causal mechanisms which reduce recurrence. Recent work by the PI functionally categorized the vaginal microbiome for use in large clinical research studies (vaginal metagenomic community state types, mgCSTs). The broad hypothesis in this proposal is that not all microbiomes associated with bacterial vaginosis have the same potential for recurrence. Preliminary data suggest that BV recurrence is more frequently observed in only two of the nine mgCSTs containing BV-associated bacteria. This study proposes to utilize archived cervicovaginal samples from the NIH 1999 Longitudinal Study of Vaginal Flora in which participants were followed quarterly for one year. Multi-omic analyses of baseline samples will be assessed to identify microbial (metagenomic and metabolomic) and host (metabolomic and targeted immune markers) signatures of susceptibility to recurrent BV. Specific aims of this proposal are to: (1) conduct an epidemiological analysis to evaluate the demographic and lifestyle correlates of mgCSTs, and (2) employ supervised machine learning and causal inference modeling to identify prognostic factors and drivers of the vaginal microbiome and microenvironment which lead to recurrent BV. Cases are defined as women with Amsel-BV at baseline, then clearance 3 months later, followed by recurrence at six months. Controls are women with Amsel-BV that do not experience recurrence within 9 months. This grant will support the PI’s training in epidemiology and biostatistics with the completion of a Certificate Program in Clinical Research. The PI’s long- term goal is to create an independent research program translating the basic science of the vaginal microbiome to improve women’s reproductive health outcomes. The Institute for Genome Sciences and the University of Maryland School of Medicine uniquely provide the resources and support required for successful completion of this proposal and the PI’s transition to an independent investigator.
细菌性阴道病(BV)的特点是阴道微生物群具有低丰度的乳酸菌

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Johanna B. Holm其他文献

Correction: Integrating compositional and functional content to describe vaginal microbiomes in health and disease
  • DOI:
    10.1186/s40168-024-01765-5
  • 发表时间:
    2024-02-06
  • 期刊:
  • 影响因子:
    12.700
  • 作者:
    Johanna B. Holm;Michael T. France;Pawel Gajer;Bing Ma;Rebecca M. Brotman;Michelle Shardell;Larry Forney;Jacques Ravel
  • 通讯作者:
    Jacques Ravel
Effect of initiation of antiretroviral drugs for HIV prevention or treatment on the vaginal microbiome of pregnant women in Malawi
在马拉维,启动抗逆转录病毒药物用于预防或治疗 HIV 对孕妇阴道微生物群的影响
  • DOI:
    10.1038/s41522-025-00697-8
  • 发表时间:
    2025-04-26
  • 期刊:
  • 影响因子:
    9.200
  • 作者:
    Friday Saidi;Lauren A. Graybill;Jennifer H. Tang;Twambilile Phanga;Beteniko Milala;Gabriel Banda;Manley Kamija;Margaret Kasaro;Wilbroad Mutale;Joan Price;Lameck Chinula;Jeffrey Stringer;Mina C. Hosseinipour;Benjamin H. Chi;Jacques Ravel;Johanna B. Holm
  • 通讯作者:
    Johanna B. Holm
First island-wide, single-day soil collection study on Crete reveals environmental drivers of microbial diversity
  • DOI:
    10.1186/s40793-025-00752-z
  • 发表时间:
    2025-07-25
  • 期刊:
  • 影响因子:
    5.400
  • 作者:
    Johanna B. Holm;Savvas Paragkamian;Mike Humphreys;Apaala Chatterjee;Stephanie Yarwood;Josh Gaimaro;Melanthia Stavroulaki;Dimitris Tsaparis;Manolis Plaitis;Panagiotis Kasapidis;Stelios Darivianakis;Georgios Kotoulas;Antonios Magoulas;Anastasis Oulas;Zacharias Kyrpiotakis;Pavlos Pavlidis;Petra ten Hoopen;Guy Cochrane;H. C. F. Wiebe Kooistra;Jason R. Schriml;Bronwen E. Schriml;Ilias Lagkouvardos;Panos Gkorezis;Neil Davies;Christine Laney;Lee Stanish;Granger Sutton;Scott Tighe;Ilene Karsch Mizrachi;Donovan Parks;Pelin Yilmaz;Chelsea Carey;Pier Buttigieg;Philip Goldstein;Evangelos Pafilis;Lynn M. Schriml
  • 通讯作者:
    Lynn M. Schriml

Johanna B. Holm的其他文献

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{{ truncateString('Johanna B. Holm', 18)}}的其他基金

Integrating multi-omics data: Modeling biomarkers and mechanisms to reduce bacterial vaginosis recurrence
整合多组学数据:建模生物标志物和机制以减少细菌性阴道病复发
  • 批准号:
    10412124
  • 财政年份:
    2021
  • 资助金额:
    $ 9.29万
  • 项目类别:
Integrating multi-omics data: Modeling biomarkers and mechanisms to reduce bacterial vaginosis recurrence
整合多组学数据:建模生物标志物和机制以减少细菌性阴道病复发
  • 批准号:
    10625316
  • 财政年份:
    2021
  • 资助金额:
    $ 9.29万
  • 项目类别:

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