Evidence map›Paper›PMID 34255744›Full record

ArticleJCI insight2021

Cervicovaginal microbiota and metabolome predict preterm birth risk in an ethnically diverse cohort.

Flavia Flaviani, Natasha L Hezelgrave, Tokuwa Kanno, Erica M Prosdocimi, Evonne Chin-Smith, Alexandra E Ridout, Djuna K von Maydell, Vikash Mistry, William G Wade, Andrew H Shennan and 4 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
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  8. Increased vaginalmSystems · 2025
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  13. Review
  14. Elafin level in lichen planus.Archives of dermatological research · 2024
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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

14 authors at 3 institutions in 3 countries.

Flavia FlavianiDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Natasha L HezelgraveDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Tokuwa KannoDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Erica M ProsdocimiCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom.
Evonne Chin-SmithDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Alexandra E RidoutDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Djuna K von MaydellInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, and.
Vikash MistryDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
William G WadeCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom.
Andrew H ShennanDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Konstantina DimitrakopoulouTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust.
Paul T SeedDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
A James MasonInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, and.
Rachel M TribeDepartment of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine.
Pharmaceutical Biotechnology (Czechia) · CZGuy's and St Thomas' NHS Foundation Trust · GBKing's College London · GB

Funding

British Heart FoundationDepartment of Health DRF-2013-06-171Wellcome Trust
6 · The paper itself

Abstract

The syndrome of spontaneous preterm birth (sPTB) presents a challenge to mechanistic understanding, effective risk stratification, and clinical management. Individual associations between sPTB, self-reported ethnic ancestry, vaginal microbiota, metabolome, and innate immune response are known but not fully understood, and knowledge has yet to impact clinical practice. Here, we used multi-data type integration and composite statistical models to gain insight into sPTB risk by exploring the cervicovaginal environment of an ethnically heterogenous pregnant population (n = 346 women; n = 60 sPTB < 37 weeks' gestation, including n = 27 sPTB < 34 weeks). Analysis of cervicovaginal samples (10-15+6 weeks) identified potentially novel interactions between risk of sPTB and microbiota, metabolite, and maternal host defense molecules. Statistical modeling identified a composite of metabolites (leucine, tyrosine, aspartate, lactate, betaine, acetate, and Ca2+) associated with risk of sPTB < 37 weeks (AUC 0.752). A combination of glucose, aspartate, Ca2+, Lactobacillus crispatus, and L. acidophilus relative abundance identified risk of early sPTB < 34 weeks (AUC 0.758), improved by stratification by ethnicity (AUC 0.835). Increased relative abundance of L. acidophilus appeared protective against sPTB < 34 weeks. By using cervicovaginal fluid samples, we demonstrate the potential of multi-data type integration for developing composite models toward understanding the contribution of the vaginal environment to risk of sPTB.

Indexed as

AdultAspartic AcidCalciumCase-Control StudiesCervix UteriFemaleGlucoseHumansInfant, NewbornLactobacillus acidophilusLactobacillus crispatusLongitudinal StudiesMaternal AgeMetabolomicsMicrobiotaPregnancyAspartic AcidCalciumGlucoseBioinformaticsMicrobiologyObstetrics/gynecologyReproductive BiologyTranslation

Identifiers

PMID34255744
PMCPMC8410012
OpenAlexW3179949458

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.