Evidence map›Paper›PMID 36360309›Full record

ArticleGenes2022

Differential Expression of lncRNA-miRNA-mRNA and Their Related Functional Networks in New-Onset Type 2 Diabetes Mellitus among Chinese Rural Adults.

Yu Song, Luting Nie, Mian Wang, Wei Liao, Changsheng Huan, Zexin Jia, Dandan Wei, Pengling Liu, Keliang Fan, Zhenxing Mao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Yu SongDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Luting NieDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Mian WangDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Wei LiaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Changsheng HuanDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Zexin JiaDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Dandan WeiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Pengling LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Keliang FanDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Zhenxing MaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-5091-6621
Wenqian HuoDepartment of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-7898-093X
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence suggested that the expression and inter-regulation of long noncoding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA) were related to the development of diabetes. Based on bioinformatics analysis, this study aimed to comprehensively analyze the dysregulated RNA molecules related to new-onset type 2 diabetes mellitus (T2DM). Twenty-four patients with new-onset T2DM were included as cases, and sex- and age-matched participants were included as controls. The differentially expressed lncRNAs, miRNAs, and mRNAs between the two groups were screened by RNA sequencing. LncRNA-miRNA-mRNA network and enrichment analysis were used to reveal the RNA molecules that were potentially associated with T2DM and their early changes. A total of 123 lncRNAs, 49 miRNAs, and 312 mRNAs were differentially expressed in the new-onset T2DM (fold change ≥ 1.5 and

Indexed as

Diabetes Mellitus, Type 2MicroRNAsRNA, Long NoncodingAdultChinaGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansRNA, MessengerMicroRNAsMIRN202 microRNA, humanRNA, Long NoncodingRNA, Messengerlong noncoding RNAmessenger RNAmicroRNAnew-onset type 2 diabetes mellitus

Identifiers

PMID36360309
PMCPMC9690016
OpenAlexW4308721507

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.