Evidence map›Paper›PMID 42415152›Full record

ArticleMaternal health, neonatology and perinatology2026

The role of the vaginal microbiome in pregnancy loss and preterm birth: a commentary.

Ronald F Lamont, Theda U P Bartolomaeus, Leonora S Borum, Sofia K Forslund-Startceva, Jan S Jørgensen

Abstract readLetter
In one paragraph

Article in Maternal health, neonatology and perinatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ronald F LamontInstitute of Clinical Research, University of Southern Denmark, Odense, Denmark. rflamont@icloud.com.
Theda U P BartolomaeusCenter for Ecological and Evolutionary Synthesis, Faculty of Mathematics and Natural Science, University of Oslo, Oslo, Norway.
Leonora S BorumInstitute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Sofia K Forslund-StartcevaCharite-Universitatsmedizin Berlin, Robert-Rössle-Straße 10, 13125, Berlin, Germany.
Jan S JørgensenInstitute of Clinical Research, University of Southern Denmark, Odense, Denmark. jan.stener@rsyd.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEubiosis or dysbiosis of the vaginal microbiome may influence the rate of pregnancy loss and preterm birth, the major cause of neonatal and perinatal mortality worldwide.

methodsThis was a comparison of two vaginal microbiome studies; one a cohort study and the other a multinational randomised controlled feasibility study. Both studies used cultivation-independent molecular microbiological techniques that together have implications on the risk of pregnancy loss and preterm birth in association with vaginal dysbiosis.

resultsThe cohort study identified a risk-associated vaginal microbiome signature in association with early pregnancy-loss that comprised an increase in the relative abundance of potentially dysbiotic organisms such as Lactobacillus iners, Sneathia and Prevotella spp and a concomitant decrease in the abundance of eubiotic microorganisms such as Lactobacillus crispatus. Convergent evidence across the two studies demonstrated that a synbiotic intervention was able to shift the vaginal microbiome from the signature demonstrated by Skafte-Holm et al., to a decrease in the abundance of Prevotella, Gardnerella and Atopobium spp, while simultaneously increasing the abundance of eubiotic vaginal Lactobacillus spp.

conclusionsWe concluded that there is convergent evidence across the two studies which might otherwise have gone unnoticed. While neither study was powered to demonstrate clinical endpoints and did not establish causal relationships between microbiome modulation and pregnancy outcomes, when administered regularly, vaginal commensal probiotics in ice-cream were effective in optimizing both the vaginal and intestinal microbiota in pregnant women at increased risk of pregnancy loss, particularly preterm birth. This emphasises the need for adequately powered trials to test whether early pregnancy vaginal microbiome modulation can improve clinical outcomes.

Indexed as

16SFood fortificationIce creamLactobacilliMicrobiomeMiscarriagePregnancy lossPreterm birthProbioticsSynbioticsVaginal microbiome

Identifiers

PMID42415152
PMCPMC13339520

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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.