Evidence map›Paper›PMID 30899005›Full record

ArticleNature communications2019

Cervicovaginal microbiota and local immune response modulate the risk of spontaneous preterm delivery.

Michal A Elovitz, Pawel Gajer, Valerie Riis, Amy G Brown, Michael S Humphrys, Johanna B Holm, Jacques Ravel

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
228citing papers in PubMed, 2 pooled it
36.7field-weighted citation impact, top 1% of its field
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

228 citing papers in PubMed, 2 syntheses or guidelines pooled it, 399 citations in OpenAlex.

  1. Pooled it
  2. Contribution ofFrontiers in cellular and infection microbiology · 2021
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  20. Induction of Human β-Defensin-2 by VaginalOpen forum infectious diseases · 2026
    Article

168 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Michal A ElovitzMaternal and Child Health Research Center, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. melovitz@obgyn.upenn.edu.
Pawel GajerInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Valerie RiisMaternal and Child Health Research Center, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Amy G BrownMaternal and Child Health Research Center, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Michael S HumphrysInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Johanna B HolmInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Jacques RavelInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. jravel@som.umaryland.edu.ORCID http://orcid.org/0000-0002-0851-2233
University of Maryland, Baltimore · USUniversity of Pennsylvania · US

Funding

The role of host-microbial interactions in altering preterm birth risk among black womenR01NR014784 · NINR · UNIVERSITY OF PENNSYLVANIA · PI ELOVITZ, MICHAL AVIVA · 2013 to 2024
$6.4M
Host-Microbe Interactions and Incident InfectionF32AI136400 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HOLM, JOHANNA B. · 2018 to 2020
$192k
NIAID NIH HHS F32 AI136400NIH HHS R01NR014784NINR NIH HHS R01 NR014784
6 · The paper itself

Abstract

Failure to predict and understand the causes of preterm birth, the leading cause of neonatal morbidity and mortality, have limited effective interventions and therapeutics. From a cohort of 2000 pregnant women, we performed a nested case control study on 107 well-phenotyped cases of spontaneous preterm birth (sPTB) and 432 women delivering at term. Using innovative Bayesian modeling of cervicovaginal microbiota, seven bacterial taxa were significantly associated with increased risk of sPTB, with a stronger effect in African American women. However, higher vaginal levels of β-defensin-2 lowered the risk of sPTB associated with cervicovaginal microbiota in an ethnicity-dependent manner. Surprisingly, even in Lactobacillus spp. dominated cervicovaginal microbiota, low β-defensin-2 was associated with increased risk of sPTB. These findings hold promise for diagnostics to accurately identify women at risk for sPTB early in pregnancy. Therapeutic strategies could include immune modulators and microbiome-based therapeutics to reduce this significant health burden.

Indexed as

Immunity, InnateAdultBayes Theorembeta-DefensinsBiomarkersBlack or African AmericanBlack PeopleCase-Control StudiesCervix UteriFemaleGene ExpressionHumansInfant, NewbornLactobacillusMicrobiotaMobiluncusbeta-DefensinsBiomarkersDEFB4A protein, human

Identifiers

PMID30899005
PMCPMC6428888
OpenAlexW2924015319

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.