Immunology of pregnancy and sepsis: shared and specific pathways guiding future precision care.

Harindra E Amarasinghe, Julian C Knight, Marian Knight

Abstract readReview

In one paragraph

Review in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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

3 authors.

Harindra E AmarasingheChinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK; National Perinatal Epidemiology Unit, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK. Electronic address: harindra.amarasinghe@npeu.ox.ac.uk.

Julian C KnightChinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK; Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK; John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Marian KnightChinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK; National Perinatal Epidemiology Unit, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK. Electronic address: marian.knight@npeu.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal sepsis remains a leading cause of preventable death globally, yet its underlying biology within the context of pregnancy is poorly understood. This review examines the extent to which pregnancy and sepsis share physiological, immunological, and regulatory pathways. We propose a unifying model for maternal sepsis that integrates immune, transcriptomic, epigenetic, and metabolic frameworks to advance a precision medicine approach, restoring immune equilibrium, controlling pathological inflammation while preserving pregnancy-specific adaptations. We address key knowledge gaps in current precision maternal care in sepsis and discuss the potential and limitations of emerging approaches supporting individualised risk assessment, trimester-specific immune monitoring, and targeted recovery interventions. Pregnancy itself serves as a model for natural immunological equilibrium, where tolerance and defence are finely balanced, offering broader insights for sepsis management beyond obstetrics. Translating these insights into equitable, pregnancy-compatible therapeutic strategies is an exciting opportunity to reduce the global burden of maternal sepsis and improve outcome.

Indexed as

Precision MedicinePregnancy Complications, InfectiousSepsisAnimalsFemaleHumansPregnancySignal TransductionFuture directionsMaternal sepsisPrecision medicinePregnancySepsisShared

Identifiers

PMID42435580

DOI10.1016/j.ebiom.2026.106364

PMCPMC13382050

What Socratic 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 Socratic graph.