Evidence map›Paper›PMID 40009685›Full record

ArticleScience advances2025

Rapid and high-sensitivity screening of pregnancy complications by profiling circulating placental extracellular vesicles.

Carlos Palma, Mostafa Kamal Masud, Dominic Guanzon, Andrew Lai, Melissa Razo, Angela Nakahara, Soumyalekshmi Nair, Alexis Salas-Burgos, Md Shahriar A Hossain, Flavio Carrion and 6 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Review
  6. Article
  7. Therapeutic potential of extracellular vesicles for treating human pregnancy disorders.Extracellular vesicles and circulating nucleic acids · 2025
    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

16 authors.

Carlos PalmaTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0001-6182-7501
Mostafa Kamal MasudUQ Centre for Extracellular Vesicle Nanomedicine, Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0002-5346-3135
Dominic GuanzonTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0001-7913-5749
Andrew LaiTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0002-4424-8767
Melissa RazoTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0001-7600-3046
Angela NakaharaDepartment of Obstetrics and Gynecology, Maternal-Fetal Medicine, Ochsner Clinic Foundation, New Orleans, LA 70115, USA.
Soumyalekshmi NairTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0001-6733-6164
Alexis Salas-BurgosDepartment of Pharmacology, Faculty of Biological Sciences, University of Concepción, Concepción 160C, Chile.ORCID 0000-0002-6577-9970
Md Shahriar A HossainAustralian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.
Flavio CarrionDepartamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago 8320000, Chile.ORCID 0000-0002-4086-6867
Gregory DuncombeTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0002-2757-5213
H David McIntyreMater Research, Faculty of Medicine, University of Queensland, Mater Health, South Brisbane 4101, Australia.
Aase HandbergDepartment of Clinical Biochemistry, Aalborg University Hospital, Aalborg 9220, Denmark.ORCID 0000-0001-5719-203X
Sherri LongoAustralian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-4781-7037
Yusuke YamauchiUQ Centre for Extracellular Vesicle Nanomedicine, Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0002-7578-4626
Carlos SalomonTranslational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, University of Queensland Centre for Clinical Research, Faculty of Medicine, Royal Brisbane and Women's Hospital, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0003-4474-0046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we developed a specific, rapid sensor to quantify placental extracellular vesicle (EV) protein biomarkers of early pregnancy complications. A distinct tetraspanin CD9 and placental alkaline phosphatase (PLAP) expression pattern was observed via targeted multiple reaction monitoring of EVs from maternal plasma collected before 18 weeks of gestation. A classification model was developed using training and validation patient sets, distinguishing between individuals at high risk of developing complications from those with normal pregnancies, achieving 80% sensitivity, 90% specificity, 89% positive predictive value (PPV), and 82% negative predictive value (NPV). Superparamagnetic nanoflowers that captured target EVs (CD9

Indexed as

Extracellular VesiclesPlacentaPregnancy ComplicationsAdultAlkaline PhosphataseBiomarkersDiabetes, GestationalFemaleGPI-Linked ProteinsHumansIsoenzymesPregnancySensitivity and SpecificityTetraspanin 29Alkaline Phosphatasealkaline phosphatase, placentalBiomarkersGPI-Linked ProteinsIsoenzymesTetraspanin 29

Identifiers

PMID40009685
PMCPMC11864196

What OpenQuestion holds

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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 OpenQuestion graph.