Evidence map›Paper›PMID 39640883›Full record

ArticleFrontiers in endocrinology2024

Identification of oxidative stress-related biomarkers in uterine leiomyoma: a transcriptome-combined Mendelian randomization analysis.

Yingxiao Li, Haoyue Chen, Hao Zhang, Zhaochen Lin, Liang Song, Chuanliang Zhao

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

Yingxiao LiDepartment of Gynecology, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.
Haoyue ChenDepartment of Rehabilitation Medical Center, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.
Hao ZhangDepartment of Rehabilitation Medical Center, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.
Zhaochen LinHydrogen Medical Research Center, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.
Liang SongDepartment of Gynecology, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.
Chuanliang ZhaoDepartment of Orthopedics, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oxidative stress has been implicated in the pathogenesis of uterine leiomyoma (ULM) with an increasing incidence. This study aimed to identify potential oxidative stress-related biomarkers in ULM using transcriptome data integrated with Mendelian randomization (MR) analysis. Methods: Data from GSE64763 and GSE31699 in the Gene Expression Omnibus (GEO) were included in the analysis. Oxidative stress-related genes (OSRGs) were identified, and the intersection of differentially expressed genes (DEGs), Weighted Gene Co-expression Network Analysis (WGCNA) genes, and OSRGs was used to derive differentially expressed oxidative stress-related genes (DE-OSRGs). Biomarkers were subsequently identified Results: A total of 883 DEGs were identified between ULM and control samples, from which 42 DE-OSRGs were screened. MR analysis revealed four biomarkers: Conclusion: This study identified oxidative stress-related biomarkers (ANXA1, CD36, MICB, and PRDX6) in ULM through transcriptomic and MR analysis, providing valuable insights for ULM therapeutic research.

Indexed as

Biomarkers, TumorLeiomyomaMendelian Randomization AnalysisOxidative StressTranscriptomeUterine NeoplasmsAnnexin A1FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansAnnexin A1ANXA1 protein, humanBiomarkers, TumorbiomarkersMendelian randomizationoxidative stresstranscriptomeuterine leiomyoma

Identifiers

PMID39640883
PMCPMC11617171

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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.