Evidence map›Paper›PMID 35189928›Full record

ArticleReproductive biology and endocrinology : RB&E2022

Proteome-defined changes in cellular pathways for decidua and trophoblast tissues associated with location and viability of early-stage pregnancy.

Lynn A Beer, Suneeta Senapati, Mary D Sammel, Kurt T Barnhart, Courtney A Schreiber, David W Speicher

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 1 country.

Lynn A BeerCenter for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA.
Suneeta SenapatiDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Mary D SammelDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.
Kurt T BarnhartDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Courtney A SchreiberDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
David W SpeicherCenter for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA. speicher@wistar.org.
University of Pennsylvania · USThe Wistar Institute · USColorado School of Public Health · US

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
Development of a serum biosignature for ectopic pregnancy.R01HD076279 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BARNHART, KURT T · 2014 to 2018
$3.4M
NCI NIH HHS CA10815NCI NIH HHS P30 CA010815NICHD NIH HHS R01 HD076279NIH HHS RO1HD076279
6 · The paper itself

Abstract

backgroundIn early pregnancy, differentiating between a normal intrauterine pregnancy (IUP) and abnormal gestations including early pregnancy loss (EPL) or ectopic pregnancy (EP) is a major clinical challenge when ultrasound is not yet diagnostic. Clinical treatments for these outcomes are drastically different making early, accurate diagnosis imperative. Hence, a greater understanding of the biological mechanisms involved in these early pregnancy complications could lead to new molecular diagnostics.

methodsTrophoblast and endometrial tissue was collected from consenting women having an IUP (n = 4), EPL (n = 4), or EP (n = 2). Samples were analyzed by LC-MS/MS followed by a label-free proteomics analysis in an exploratory study. For each tissue type, pairwise comparisons of different pregnancy outcomes (EPL vs. IUP and EP vs. IUP) were performed, and protein changes having a fold change ≥ 3 and a Student's t-test p-value ≤ 0.05 were defined as significant. Pathway and network classification tools were used to group significantly changing proteins based on their functional similarities.

resultsA total of 4792 and 4757 proteins were identified in decidua and trophoblast proteomes. For decidua, 125 protein levels (2.6% of the proteome) were significantly different between EP and IUP, whereas EPL and IUP decidua were more similar with only 68 (1.4%) differences. For trophoblasts, there were 66 (1.4%) differences between EPL and IUP. However, the largest group of 344 differences (7.2%) was observed between EP and IUP trophoblasts. In both tissues, proteins associated with ECM remodeling, cell adhesion and metabolic pathways showed decreases in EP specimens compared with IUP and EPL. In trophoblasts, EP showed elevation of inflammatory and immune response pathways.

conclusionsOverall, differences between an EP and IUP are greater than the changes observed when comparing ongoing IUP and nonviable intrauterine pregnancies (EPL) in both decidua and trophoblast proteomes. Furthermore, differences between EP and IUP were much higher in the trophoblast than in the decidua. This observation is true for the total number of protein changes as well as the extent of changes in upstream regulators and related pathways. This suggests that biomarkers and mechanisms of trophoblast function may be the best predictors of early pregnancy location and viability.

Indexed as

Pregnancy OutcomeAbortion, SpontaneousAdultCase-Control StudiesDeciduaEmbryo ImplantationFemaleFetal ViabilityGestational AgeHumansPregnancyPregnancy, EctopicPregnancy Trimester, FirstProteomeSignal TransductionTrophoblastsProteomeDeciduaEarly pregnancy lossEctopic pregnancyMaternal–fetal interfaceProteomicsTrophoblast

Identifiers

PMID35189928
PMCPMC8862331
OpenAlexW4213308295

What OpenQuestion holds

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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.