Evidence map›Paper›PMID 34103657›Full record

ArticleCommunications biology2021

Placental secretome characterization identifies candidates for pregnancy complications.

Tina Napso, Xiaohui Zhao, Marta Ibañez Lligoña, Ionel Sandovici, Richard G Kay, Amy L George, Fiona M Gribble, Frank Reimann, Claire L Meek, Russell S Hamilton and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  8. Oxidised Apolipoprotein Peptidome Characterises Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025
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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

11 authors at 2 institutions in 1 country.

Tina NapsoCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
Xiaohui ZhaoCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9922-2815
Marta Ibañez LligoñaCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID 0000-0003-3428-2168
Ionel SandoviciCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID 0000-0001-5674-4269
Richard G KayWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.
Amy L GeorgeWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.ORCID 0000-0002-6782-1626
Fiona M GribbleWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.ORCID 0000-0002-4232-2898
Frank ReimannWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.ORCID 0000-0001-9399-6377
Claire L MeekWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.
Russell S HamiltonCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0598-3793
Amanda N Sferruzzi-PerriCentre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK. ans48@cam.ac.uk.ORCID 0000-0002-4931-4233
University of Cambridge · GBWellcome/MRC Institute of Metabolic Science · GB

Funding

British Heart Foundation RG/17/12/33167Department of HealthMedical Research Council MC_UU_00014/4Medical Research Council MC_UU_12012/3Medical Research Council MC_UU_12012/4Medical Research Council MRC_MC_UU_12012/3Medical Research Council MR/M009041/1Wellcome TrustWellcome Trust 106262/Z/14/ZWellcome Trust 106263/Z/14/Z
6 · The paper itself

Abstract

Alterations in maternal physiological adaptation during pregnancy lead to complications, including abnormal birthweight and gestational diabetes. Maternal adaptations are driven by placental hormones, although the full identity of these is lacking. This study unbiasedly characterized the secretory output of mouse placental endocrine cells and examined whether these data could identify placental hormones important for determining pregnancy outcome in humans. Secretome and cell peptidome analyses were performed on cultured primary trophoblast and fluorescence-activated sorted endocrine trophoblasts from mice and a placental secretome map was generated. Proteins secreted from the placenta were detectable in the circulation of mice and showed a higher relative abundance in pregnancy. Bioinformatic analyses showed that placental secretome proteins are involved in metabolic, immune and growth modulation, are largely expressed by human placenta and several are dysregulated in pregnancy complications. Moreover, proof-of-concept studies found that secreted placental proteins (sFLT1/MIF and ANGPT2/MIF ratios) were increased in women prior to diagnosis of gestational diabetes. Thus, placental secretome analysis could lead to the identification of new placental biomarkers of pregnancy complications.

Indexed as

AnimalsCells, CulturedFemaleHumansMaleMiceMice, Inbred C57BLPlacentaPregnancyPregnancy ComplicationsProteomeProteomicsTrophoblastsProteome

Identifiers

PMID34103657
PMCPMC8187406
OpenAlexW3168867714

What OpenQuestion 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 OpenQuestion graph.