Evidence map›Paper›PMID 35813414›Full record

ArticleComputational and mathematical methods in medicine2022

Regulatory Role of miRNAs and lncRNAs in Gout.

Jianlong Shu, Minhua Chen, Chunse Ya, Ruixia Yang, Fengzhen Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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, 4 citations in OpenAlex.

  1. Article
  2. Retracted: Regulatory Role of miRNAs and lncRNAs in Gout.Computational and mathematical methods in medicine · 2023
    Article
  3. Article
4 · The record

Corrections and comments

  • Retraction · 2023-07-19Concerns/Issues about Data · Concerns/Issues about Human Subject Welfare · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions ·
  • Retracted
5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jianlong ShuDepartment of Rheumatology, Guangxi International Zhuang Medicine Hospital, Nanning, Guangxi, China 530201.
Minhua ChenDepartment of Ultrasound, Guangxi International Zhuang Medicine Hospital, Nanning, Guangxi, China 530201.
Chunse YaGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China 530201.
Ruixia YangDepartment of Cardiology, Guangxi International Zhuang Medicine Hospital, Nanning, Qiuyue Road No. 8, Liang Qing District, Nanning, Guangxi Zhuang Autonomous Region, China 530201.
Fengzhen LiDepartment of Rheumatology, Guangxi International Zhuang Medicine Hospital, Nanning, Guangxi, China 530201.ORCID https://orcid.org/0000-0002-2085-3356
Guangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the regulatory functions of ceRNA networks in the nosogenesis of gout and search for potential therapeutic targets. Methods: We searched the GEO database and downloaded the lncRNA microarray chipset GSE160170. This matrix series was analyzed to yield differentially expressed lncRNAs and mRNAs. Then, the correlations between lncRNAs and miRNAs were obtained by comparing the highly conserved miRNA families. The predicted miRNA-regulating mRNAs were matched to the differentially expressed mRNAs from the chipset analyses to obtain miRNA-mRNA interactions. Next, we used the Cytoscape software to model ceRNA networks and the STRING database to determine their protein-protein interactions. The R software was used to algorithmically screen the functional pathways of key PPI modules in the ceRNA networks. Results: A total of 354 lncRNAs (140 downregulated and 214 upregulated) and 693 mRNAs (399 downregulated and 294 upregulated) were differentially expressed between the gout group and the healthy group. The ceRNA network of differentially expressed lncRNAs contained 86 lncRNAs (35 downregulated and 51 upregulated), 29 miRNAs, and 57 mRNAs. The processes identified in the GO enrichment analysis included gene transcription, RNA polymerase II transcription, and the regulation of cell growth and apoptosis. The pathways identified in the KEGG enrichment analysis included IL-17, TNF, and MAPK signaling. Nine lncRNAs (AC104024, AC084082, AC083843, FAM182A, AC022819, FAM215B, AP000525, TTTY10, and ZNF346-IT1), eleven miRNAs (hsa-miR-1297, hsa-miR-17-5p, hsa-miR-429, hsa-miR-139-5p, hsa-miR-449c-5p, hsa-miR-125a-5p, hsa-miR-125b-5p, hsa-miR-23b-3p, hsa-miR-217, hsa-miR-363-3p, and hsa-miR-20b-5p), and nine mRNAs (JUN, CASP2, PMAIP1, FOS, TNFAIP3, MAP3K8, BTG2, NR4A2, and DUSP2) were identified in the exploration of the key modules. Conclusion: Characterization of ceRNA networks could be a promising approach for better understanding the pathogenesis of gout, with the TTTY10/hsa-miR-139-5p/AP-1 axis likely to be of clinical significance.

Indexed as

GoutImmediate-Early ProteinsMicroRNAsRNA, Long NoncodingDNA-Binding ProteinsGene Regulatory NetworksHumansRNA-Binding ProteinsRNA, MessengerTumor Suppressor ProteinsBTG2 protein, humanDNA-Binding ProteinsImmediate-Early ProteinsMicroRNAsMIRN1297 microRNA, humanMIRN139 microRNA, humanMIRN217 microRNA, humanMIRN363 microRNA, humanRNA-Binding ProteinsRNA, Long NoncodingRNA, MessengerTumor Suppressor ProteinsZNF346 protein, human

Identifiers

PMID35813414
PMCPMC9259367
OpenAlexW4283720702

What OpenQuestion 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 OpenQuestion graph.