Evidence map›Paper›PMID 38968269›Full record

ArticlePloS one2024

Unraveling the H19/GAS1 axis in recurrent implantation failure: A potential biomarker for diagnosis and insight into immune microenvironment alteration.

Li Fan, Fan Zhang, Chunling Yao, Liuying Nong, Jingjing Li, Wenjie Huang

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Li FanDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Fan ZhangDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Chunling YaoDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Liuying NongDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Jingjing LiDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Wenjie HuangDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.ORCID 0000-0001-9726-4798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrent implantation failure (RIF) presents a significant clinical challenge due to the lack of established diagnostic and therapeutic guidelines. Emerging evidence underscores the crucial role of competitive endogenous RNA (ceRNA) regulatory networks in non-cancerous female reproductive disorders, yet the intricacies and operational characteristics of these networks in RIF are not fully understood. This study aims to demystify the ceRNA regulatory network and identify potential biomarkers for its diagnosis. We analyzed expression profiles of three RNA types (long noncoding RNAs [lncRNAs], microRNAs [miRNAs], and mRNAs) sourced from the GEO database, leading to the identification of the H19-hsa-miR-301a-3p-GAS1 ceRNA network. This network demonstrates significant diagnostic relevance for RIF. Notably, the H19/GAS1 axis within this ceRNA network, identified through correlation analysis, emerged as a promising diagnostic marker, as evidenced by operating receiver operator characteristic (ROC) curve analysis. Further investigation into the binding potential of miR-301a-3p with H19 and GAS1 revealed a close association of these genes with endometrial disorders and embryo loss, as per the Comparative Toxicogenomics Database. Additionally, our immune infiltration analysis revealed a lower proportion of T cells gamma delta (γδ) in RIF, along with distinct differences in the expression of immune cell type-specific markers between fertile patients and those with RIF. We also observed a correlation between aberrant expression of H19/GAS1 and these immune markers, suggesting that the H19/GAS1 axis might play a role in modifying the immune microenvironment, contributing to the pathogenesis of RIF. In conclusion, the ceRNA-based H19/GAS1 axis holds promise as a novel diagnostic biomarker for RIF, potentially enhancing our understanding of its underlying mechanisms and improving the success rates of implantation.

Indexed as

BiomarkersEmbryo ImplantationRNA, Long NoncodingFemaleGene Regulatory NetworksHumansMicroRNAsBiomarkersH19 long non-coding RNAMicroRNAsRNA, Long Noncoding

Identifiers

PMID38968269
PMCPMC11226067

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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.