Evidence map›Paper›PMID 39866379›Full record

ReviewReproductive medicine and biology

Molecular and cellular regulators of embryo implantation and their application in improving the implantation potential of IVF-derived blastocysts.

Chunyan Liu, Emiko Fukui, Hiromichi Matsumoto

Abstract readReview
In one paragraph

Review in Reproductive medicine and biology. 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
–field-weighted citation impact
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.

  1. Review
  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

3 authors.

Chunyan LiuLaboratory of Animal Breeding and Reproduction, Division of Animal Science, School of Agriculture Utsunomiya University Utsunomiya Tochigi Japan.ORCID https://orcid.org/0000-0001-5762-2036
Emiko FukuiLaboratory of Animal Breeding and Reproduction, Division of Animal Science, School of Agriculture Utsunomiya University Utsunomiya Tochigi Japan.
Hiromichi MatsumotoLaboratory of Animal Breeding and Reproduction, Division of Animal Science, School of Agriculture Utsunomiya University Utsunomiya Tochigi Japan.ORCID https://orcid.org/0000-0002-0104-6866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In vitro fertilization (IVF) and embryo transfer (ET) are widely used in reproductive biology. Despite the transfer of high-quality blastocysts, the implantation rate of IVF-derived blastocysts remains low after ET. Methods: This article provides a comprehensive review of current research on embryo implantation regulators and their application to improve the implantation potential of IVF-derived blastocysts. Main Findings: The in vivo mouse model revealed selective proteolysis immediately after expression in activated blastocysts, that is, degradation of ERα expression in activated blastocysts regulated by the ubiquitin-proteasome pathway, followed by completion of blastocyst implantation. Treatment of blastocysts to induce appropriate protein expression during in vitro culture prior to ET is a useful approach for improving implantation rates. This approach showed that combined treatment with PRL, EGF, and 4-OH-E Conclusion: Findings based on analysis of molecular and cellular regulators are useful for improving the implantation potential of IVF-derived blastocysts. These approaches may help to elucidate the mechanisms underlying the completion of the blastocyst implantation, although further investigation is required to improve the success of implantation and pregnancy.

Indexed as

blastocystembryo transferimplantationin vitro fertilizationmice

Identifiers

PMID39866379
PMCPMC11759885

What OpenQuestion holds

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Registered trials

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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.