Evidence map›Paper›PMID 37866321›Full record

ArticlePlacenta2023

Defining trophoblast injury patterns in the transcriptomes of dysfunctional placentas.

Oren Barak, Tyler Lovelace, Tianjiao Chu, Zhishen Cao, Elena Sadovsky, Jean-Francois Mouillet, Yingshi Ouyang, Panayiotis V Benos, Yoel Sadovsky

Open access · greenAbstract read
In one paragraph

Article in Placenta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Oren BarakMagee-Womens Research Institute, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Tyler LovelaceDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA; Joint CMU-Pitt PhD Program in Computational Biology, Pittsburgh, PA, USA.
Tianjiao ChuMagee-Womens Research Institute, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Zhishen CaoMagee-Womens Research Institute, Pittsburgh, PA, USA.
Elena SadovskyMagee-Womens Research Institute, Pittsburgh, PA, USA.
Jean-Francois MouilletMagee-Womens Research Institute, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Yingshi OuyangMagee-Womens Research Institute, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Panayiotis V BenosDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA; Joint CMU-Pitt PhD Program in Computational Biology, Pittsburgh, PA, USA; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
Yoel SadovskyMagee-Womens Research Institute, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA; Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: ysadovsky@mwri.magee.edu.
University of Pittsburgh · USMagee-Womens Research Institute · US

Funding

COPD SUBTYPES AND EARLY PREDICTION USING INTEGRATIVE PROBABILISTIC GRAPHICAL MODELS R01HL157879R01HL157879 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SCIURBA, FRANK · 2021 to 2024
$2.9M
Novel Biomarkers for Post-Liver Transplant NASH FibrosisR01DK130294 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ARTEEL, GAVIN E, BENOS, PANAGIOTIS V · 2022 to 2025
$2.8M
Interpretable graphical models for large multi-modal COPD data (R01HL159805)R01HL159805 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SPIRTES, PETER · 2021 to 2024
$2.0M
Causal graphical methods for high-dimensional heterogeneous biomedical dataF31LM013966 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOVELACE, TYLER · 2022 to 2024
$143k
NHLBI NIH HHS R01 HL157879NHLBI NIH HHS R01 HL159805NIDDK NIH HHS R01 DK130294NLM NIH HHS F31 LM013966
6 · The paper itself

Abstract

Trophoblast injury is central to clinically relevant placenta dysfunction. We hypothesized that the mRNA of primary human trophoblasts, exposed to distinct injuries in vitro, capture transcriptome patterns of placental biopsies obtained from common obstetrical syndromes. We deployed a CIBERSORTx deconvolution method to correlate trophoblastic RNAseq-based expression matrices with the transcriptome of omics-defined placental dysfunction patterns in vivo. We found distinct trophoblast injury patterns in placental biopsies from women with fetal growth restriction and a hypertensive disorder, or in biopsies clustered by their omics analysis. Our RNAseq data are useful for defining the contribution of trophoblast injuries to placental dysfunction syndromes.

Indexed as

PlacentaPlacenta DiseasesFemaleHumansPregnancyTranscriptomeTrophoblastsApoptosisCIBERSORTxFerroptosisPlacentaTrophoblast

Identifiers

PMID37866321
PMCPMC10842313
OpenAlexW4387709790

What OpenQuestion holds

Textmetadata
LicenceTDM
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.