Evidence mapPaperPMID 42268809Full record

ReviewReproduction & fertility2026

Towards microbiome-informed strategies for predicting and preventing pregnancy complications.

G L Ruschman, J A Bittor, D S Charnock-Jones, P E Day-Walsh

Abstract readReview
In one paragraph

Review in Reproduction & fertility, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

G L RuschmanDepartment of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK.
J A BittorDepartment of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK.
D S Charnock-JonesDepartment of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-2936-4890
P E Day-WalshDepartment of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphical Abstract: Abstract: Despite the prevalence of pregnancy complications, including miscarriage, stillbirth, preeclampsia (PE), fetal growth restriction (FGR), and preterm birth (PTB), current predictive tools remain limited. This underscores an urgent need for novel molecular biomarkers and mechanistic insights. The microbiome regulates host physiology, and its disruption correlates with adverse pregnancy outcomes, such as PE, PTB, and gestational diabetes mellitus (GDM), and thus holds promise for predictive insights and therapeutic interventions. However, these associations are largely correlative, based on taxonomic rather than protein- or metabolite-based functional changes. In addition, they are often derived from cross-sectional studies, and the underlying mechanisms remain poorly understood. Given the evidence-based view of a sterile intra-uterine environment, understanding the factors that mediate host-microbe interactions is crucial for improving pregnancy outcomes. Maternal immune and hormonal changes can influence the composition and functional capacity of the microbiome, while the microbiome, in turn, modulates immune, neuroendocrine responses, nutrient bioavailability, and metabolic processes, impacting placental development and pregnancy physiology. We explore direct and indirect mediators of host-microbiome interactions and discuss how these may be targeted to improve pregnancy outcomes. We briefly consider the potential influence of the paternal microbiome and maternal preconception microbial states on pregnancy physiology and outcomes. Finally, we critically evaluate existing methodologies and databases for studying microbial variations in pregnancy-related disorders and propose strategies to better harness microbiome-based research for clinical application. By integrating current evidence and identifying key knowledge gaps, this review aims to highlight microbiome-informed strategies for improving pregnancy outcomes and lifelong health. Lay summary: Understanding how microbes influence pregnancy outcomes is essential. Pregnancy complications, such as miscarriage, stillbirth, preeclampsia (PE), Fetal growth restriction (FGR), and preterm birth (PTB), are common, yet we still lack reliable tools to predict who is at risk. This makes it essential to identify new biological markers and better understand the underlying mechanisms. One promising area is the microbiome, the community of microorganisms that live in and on our bodies, including bacteria, viruses, and fungi. The microbiome plays a major role in regulating health, and changes in its composition have been linked to pregnancy disorders, including PE, PTB, and gestational diabetes mellitus (GDM). However, most of what we know comes from studies that only identify which microbes are present, rather than what these microbes are doing. Many studies are also cross-sectional, capturing only a single time point, which limits our ability to understand the cause and effect. Because the uterus is generally considered a sterile environment, the key question is how the maternal body and microbiome communicate. During pregnancy, the immune system and hormone levels change dramatically, and these shifts can alter the composition and function of the microbiome. In turn, the microbiome can influence maternal immunity, hormone signalling, nutrient availability, and metabolism. These interactions may shape how the placenta develops and how the pregnancy progresses. In this review, we examine how the body and the microbiome interact both directly and indirectly and how these pathways might be targeted to improve pregnancy outcomes. We also touch on the possible influence of the father's microbiome and the mother's preconception health on fertility, early development, and long-term pregnancy health.

Indexed as

MicrobiotaPregnancy ComplicationsFemaleHumansPregnancyPregnancy Outcomecommunity state typehost–microbe interactionsmaternal microbiomepregnancy complicationstryptophan–indole metabolism

Identifiers

PMID42268809
PMCPMC13292987

What Socratic holds

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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 Socratic graph.