Evidence map›Paper›PMID 38610028›Full record

ArticleJournal of ovarian research2024

CAPN2 correlates with insulin resistance states in PCOS as evidenced by multi-dataset analysis.

Xi Luo, Yunhua Dong, Haishan Zheng, Xiaoting Zhou, Lujuan Rong, Xiaoping Liu, Yun Bai, Yunxiu Li, Ze Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 2 institutions in 1 country.

Xi Luo *Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China. luoxi_ypfph@163.com.
Yunhua Dong *Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
Haishan Zheng *Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
Xiaoting ZhouFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
Lujuan RongFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
Xiaoping LiuFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
Yun BaiFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
Yunxiu LiDepartment of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China. lyrarshow@qq.com.
Ze WuDepartment of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China. wuzes2010@163.com.
Kunming University of Science and Technology · CNFirst People's Hospital of Yunnan Province · CN

Funding

Kunming University of Science and Technology Medical School research development fund project SRDP-2023-003National Natural Science Foundation of China 82260292National Natural Science Foundation of China 82360305Open Project of Yunnan Provincial Key Specialty of Gynecology 2022FKZDZK-13Open Project of Yunnan Provincial Reproductive and Obstetrics and Gynecology Clinical Medicine Center 2022LCZXKF-SZ16Reproductive Obstetrics and Gynecology Clinical Center of Yunnan Province 2022LCZXKF-SZ05Social development projects of Yunnan Province 202302AA310044Yunnan Revitalization Talent Support Program XDYC-MY-2022-0055
6 · The paper itself

Abstract

objectiveIR emerges as a feature in the pathophysiology of PCOS, precipitating ovulatory anomalies and endometrial dysfunctions that contribute to the infertility challenges characteristic of this condition. Despite its clinical significance, a consensus on the precise mechanisms by which IR exacerbates PCOS is still lacking. This study aims to harness bioinformatics tools to unearth key IR-associated genes in PCOS patients, providing a platform for future therapeutic research and potential intervention strategies.

methodsWe retrieved 4 datasets detailing PCOS from the GEO, and sourced IRGs from the MSigDB. We applied WGCNA to identify gene modules linked to insulin resistance, utilizing IR scores as a phenotypic marker. Gene refinement was executed through the LASSO, SVM, and Boruta feature selection algorithms. qPCR was carried out on selected samples to confirm findings. We predicted both miRNA and lncRNA targets using the ENCORI database, which facilitated the construction of a ceRNA network. Lastly, a drug-target network was derived from the CTD.

resultsThirteen genes related to insulin resistance in PCOS were identified via WGCNA analysis. LASSO, SVM, and Boruta algorithms further isolated CAPN2 as a notably upregulated gene, corroborated by biological verification. The ceRNA network involving lncRNA XIST and hsa-miR-433-3p indicated a possible regulatory link with CAPN2, supported by ENCORI database. Drug prediction analysis uncovered seven pharmacological agents, most being significant regulators of the endocrine system, as potential candidates for addressing insulin resistance in PCOS.

conclusionsThis study highlights the pivotal role of CAPN2 in insulin resistance within the context of PCOS, emphasizing its importance as both a critical biomarker and a potential therapeutic target. By identifying CAPN2, our research contributes to the expanding evidence surrounding the CAPN family, particularly CAPN10, in insulin resistance studies beyond PCOS. This work enriches our understanding of the mechanisms underlying insulin resistance, offering insights that bridge gaps in the current scientific landscape.

Indexed as

Insulin ResistanceMicroRNAsPolycystic Ovary SyndromeRNA, Long NoncodingAlgorithmsCalpainComputational BiologyFemaleHumansCalpainCAPN2 protein, humanMicroRNAsMIRN433 microRNA, humanRNA, Long NoncodingCompeting endogenous RNA networkDifferentially expressed genes therapeutic drug predictionInsulin resistancePolycystic ovary syndrome

Identifiers

PMID38610028
PMCPMC11015649
OpenAlexW4394750745

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.