Evidence map›Paper›PMID 38099857›Full record

ArticleHuman reproduction (Oxford, England)2024

An unbiased approach of molecular characterization of the endometrium: toward defining endometrial-based infertility.

Bich Ngoc Bui, Arif Ibrahim Ardisasmita, Ewart Kuijk, Signe Altmäe, Gaby Steba, Shari Mackens, Sabine Fuchs, Frank Broekmans, Edward Nieuwenhuis

Open access · hybridAbstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2024. 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
0.7field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 4 institutions in 3 countries.

Bich Ngoc BuiDepartment of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-3542-6215
Arif Ibrahim ArdisasmitaDepartment of Metabolic Diseases, University Medical Center Utrecht, Utrecht, The Netherlands.
Ewart KuijkDepartment of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Signe AltmäeDepartment of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.ORCID 0000-0002-0708-1865
Gaby StebaDepartment of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-2652-0760
Shari MackensBrussels IVF, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
Sabine FuchsDepartment of Metabolic Diseases, University Medical Center Utrecht, Utrecht, The Netherlands.
Frank BroekmansDepartment of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Edward NieuwenhuisDepartment of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
University Medical Center Utrecht · NLRoosevelt Institute for American Studies · NLUniversidad de Granada · ESVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infertility is a complex condition affecting millions of couples worldwide. The current definition of infertility, based on clinical criteria, fails to account for the molecular and cellular changes that may occur during the development of infertility. Recent advancements in sequencing technology and single-cell analysis offer new opportunities to gain a deeper understanding of these changes. The endometrium has a potential role in infertility and has been extensively studied to identify gene expression profiles associated with (impaired) endometrial receptivity. However, limited overlap among studies hampers the identification of relevant downstream pathways that could play a role in the development of endometrial-related infertility. To address these challenges, we propose sequencing the endometrial transcriptome of healthy and infertile women at the single-cell level to consistently identify molecular signatures. Establishing consensus on physiological patterns in endometrial samples can aid in identifying deviations in infertile patients. A similar strategy has been used with great success in cancer research. However, large collaborative initiatives, international uniform protocols of sample collection and processing are crucial to ensure reliability and reproducibility. Overall, the proposed approach holds promise for an objective and accurate classification of endometrial-based infertility and has the potential to improve diagnosis and treatment outcomes.

Indexed as

Infertility, FemaleEmbryo ImplantationEndometriumFemaleHumansReproducibility of ResultsTranscriptomeTreatment Outcomebiological mechanismendometriummolecular phenotypingsingle-cell analysisunexplained infertility

Identifiers

PMID38099857
PMCPMC10833067
OpenAlexW4389799780

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.