Evidence map›Paper›PMID 40501483›Full record

ArticleNon-coding RNA research2025

Maternal plasma microRNAs as potential biomarkers for triaging pregnancies of unknown location and ectopic pregnancy diagnosis.

Christopher Kyriacou, Sung Hye Kim, Maria Arianoglou, Shabnam Bobdiwala, Margaret Pikovsky, Nina Parker, Jennifer Barcroft, Maya Al-Memar, Phillip R Bennett, David A MacIntyre and 2 more

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Article in Non-coding RNA research, 2025. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Christopher KyriacouTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Sung Hye KimInstitute for Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Maria ArianoglouInstitute for Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Shabnam BobdiwalaTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Margaret PikovskyTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Nina ParkerTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Jennifer BarcroftTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Maya Al-MemarTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Phillip R BennettTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
David A MacIntyreTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Tom BourneTommy's National Centre for Miscarriage Research, Early Pregnancy and Acute Gynaecology Unit, Department of Obstetrics and Gynaecology, Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
Vasso TerzidouInstitute for Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pregnancy of unknown location (PUL) is classified if an early pregnancy is not visualised on transvaginal ultrasonography (TVUS). Biomarkers currently used to triage PUL outcomes have varying accuracy. Delayed or missed diagnosis of ectopic pregnancies (EP) continue to cause significant morbidity and mortality. We investigated whether maternal plasma microRNAs (miRNAs) can predict and differentiate high-risk EP from viable (VIUP) or non-viable (NVIUP) intrauterine pregnancies. Methods: Plasma was collected from women with PUL/EP (n = 120), mostly between four to eight weeks' gestation, where outcomes of EP (n = 39), VIUP (n = 58) and NVIUP (miscarriage, n = 23) were determined using TVUS. Nanostring nCounter miRNA assay was used to examine the expression of ∼800 miRNAs in 22 women. Differentially expressed miRNAs were validated using RT-qPCR in 98 women. Results: Nanostring nCounter miRNA assay identified 19 miRNAs which were expressed significantly higher in EP/NVIUP compared with VIUP. Two miRNAs were validated in a second, separate validation cohort using RT-qPCR: hsa-miR-21-5p in EP was 2.8-fold higher than in VIUP ( Conclusion: Plasma miRNAs are differentially expressed in EP and VIUP and are detectable as early as four gestational weeks. Exploring miRNA targets may further understanding of EP pathophysiology, offering the potential to use miRNA as predictive and diagnostic markers in early pregnancy.

Indexed as

BiomarkersEctopic pregnancyMicroRNAPlasmaPUL

Identifiers

PMID40501483
PMCPMC12156232

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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.