Evidence map›Paper›PMID 37065197›Full record

ArticleFrontiers in cellular and infection microbiology2023

Cervicovaginal mucus barrier properties during pregnancy are impacted by the vaginal microbiome.

Hannah C Zierden, Kevin DeLong, Fareeha Zulfiqar, Jairo Ortiz Ortiz, Victoria Laney, Sabrine Bensouda, Nicole Hernández, Thuy M Hoang, Samuel K Lai, Justin Hanes and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Optimizing genetic engineering approaches for protein loading into bacterial extracellular vesicles for vaginal drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  3. Article
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  5. Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hannah C ZierdenCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Kevin DeLongCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Fareeha ZulfiqarCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Jairo Ortiz OrtizCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Victoria LaneyCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Sabrine BensoudaCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Nicole HernándezCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Thuy M HoangCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Samuel K LaiDivision of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina/North Carolina State University (UNC/NCSU) Joint Department of Biomedical Engineering, Department of Microbiology & Immunology, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
Justin HanesCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Anne E BurkeDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Laura M EnsignCenter for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

Nanomedicine approaches for prevention of inflammation-induced preterm birthR01HD103124 · NICHD · JOHNS HOPKINS UNIVERSITY · PI BURD, IRINA, ENSIGN, LAURA · 2021 to 2025
$3.3M
NICHD NIH HHS R01 HD103124
6 · The paper itself

Abstract

Introduction: Mucus in the female reproductive tract acts as a barrier that traps and eliminates pathogens and foreign particles via steric and adhesive interactions. During pregnancy, mucus protects the uterine environment from ascension of pathogens and bacteria from the vagina into the uterus, a potential contributor to intrauterine inflammation and preterm birth. As recent work has demonstrated the benefit of vaginal drug delivery in treating women's health indications, we sought to define the barrier properties of human cervicovaginal mucus (CVM) during pregnancy to inform the design of vaginally delivered therapeutics during pregnancy. Methods: CVM samples were self-collected by pregnant participants over the course of pregnancy, and barrier properties were quantified using multiple particle tracking. 16S rRNA gene sequencing was performed to analyze the composition of the vaginal microbiome. Results: Participant demographics differed between term delivery and preterm delivery cohorts, with Black or African American participants being significantly more likely to delivery prematurely. We observed that vaginal microbiota is most predictive of CVM barrier properties and of timing of parturition. Lactobacillus crispatus dominated CVM samples showed increased barrier properties compared to polymicrobial CVM samples. Discussion: This work informs our understanding of how infections occur during pregnancy, and directs the engineering of targeted drug treatments for indications during pregnancy.

Indexed as

MicrobiotaPremature BirthFemaleHumansInfant, NewbornMucusPregnancyRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16Sdrug deliverymucuspregnancypreterm birth (PTB)vaginal microbiome

Identifiers

PMID37065197
PMCPMC10103693

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.