Evidence map›Paper›PMID 34203623›Full record

ArticleInternational journal of molecular sciences2021

Stratifying Cumulus Cell Samples Based on Molecular Profiling to Help Resolve Biomarker Discrepancies and to Predict Oocyte Developmental Competence.

Osman El-Maarri, Muhammad Ahmer Jamil, Maria Köster, Nicole Nüsgen, Johannes Oldenburg, Markus Montag, Hans van der Ven, Katrin van der Ven

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

8 authors at 2 institutions in 1 country.

Osman El-MaarriInstitute of Experimental Haematology and Transfusion Medicine, University of Bonn, Sigmund-Freud Str. 25, 53127 Bonn, Germany.
Muhammad Ahmer JamilInstitute of Experimental Haematology and Transfusion Medicine, University of Bonn, Sigmund-Freud Str. 25, 53127 Bonn, Germany.
Maria KösterDepartment of Gynecologic Endocrinology and Reproductive Medicine, University Women's Hospital, 53127 Bonn, Germany.
Nicole NüsgenInstitute of Experimental Haematology and Transfusion Medicine, University of Bonn, Sigmund-Freud Str. 25, 53127 Bonn, Germany.
Johannes OldenburgInstitute of Experimental Haematology and Transfusion Medicine, University of Bonn, Sigmund-Freud Str. 25, 53127 Bonn, Germany.ORCID 0000-0002-1585-4100
Markus MontagDepartment of Gynecologic Endocrinology and Reproductive Medicine, University Women's Hospital, 53127 Bonn, Germany.
Hans van der VenDepartment of Gynecologic Endocrinology and Reproductive Medicine, University Women's Hospital, 53127 Bonn, Germany.
Katrin van der VenDepartment of Gynecologic Endocrinology and Reproductive Medicine, University Women's Hospital, 53127 Bonn, Germany.
University Hospital Bonn · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To increase the efficiency of assisted reproductive techniques (ART), molecular studies have been performed to identify the best predictive biomarkers for selecting the most suitable germ cells for fertilization and the best embryo for intra-uterine transfer. However, across different studies, no universal markers have been found. In this study, we addressed this issue by generating gene expression and CpG methylation profiles of outer cumulus cells obtained during intra-cytoplasmic sperm injection (ICSI). We also studied the association of the generated genomic data with the clinical parameters (spindle presence, zona pellucida birefringence, pronuclear pattern, estrogen level, endometrium size and lead follicle size) and the pregnancy result. Our data highlighted the presence of several parameters that affect analysis, such as inter-individual differences, inter-treatment differences, and, above all, specific treatment protocol differences. When comparing the pregnancy outcome following the long protocol (GnRH agonist) of ovarian stimulation, we identified the single gene markers (

Indexed as

Embryonic DevelopmentAdultBiomarkersCpG IslandsCumulus CellsDatabases as TopicDNA MethylationFemaleGene Expression ProfilingGene Expression RegulationHumansOocytesPregnancyTissue DonorsBiomarkersARTCpG methylation profilingcumulus cellepigenetic biomarkerFSHICSImRNA expression profilingoocyte competencepathways analysisupstream regulators

Identifiers

PMID34203623
PMCPMC8232172
OpenAlexW3166645054

What Socratic 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 Socratic graph.