Evidence map›Paper›PMID 32148491›Full record

ArticleInternational journal of endocrinology2020

The Differential Expression of Long Noncoding RNAs in Type 2 Diabetes Mellitus and Latent Autoimmune Diabetes in Adults.

Zhang Pengyu, Yan Yan, Fu Xiying, Yang Maoguang, Li Mo, Cheng Yan, Shen Hong, Wang Lijuan, Zhang Xiujuan, Cai Hanqing

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
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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

10 authors at 1 institution in 1 country.

Zhang PengyuDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Yan YanDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Fu XiyingDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Yang MaoguangDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Li MoDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Cheng YanDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Shen HongDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Wang LijuanDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Zhang XiujuanDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.
Cai HanqingDepartment of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China.ORCID https://orcid.org/0000-0002-9386-5286
Second Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) were previously found to be closely related to the pathogenesis of diabetes.

objectivesTo reveal the differentially expressed lncRNAs and messenger RNAs (mRNAs) involved in type 2 diabetes mellitus (T2DM) and latent autoimmune diabetes in adults (LADA) and predict the lncRNA target genes to derive their expression profiles for the diagnosis of T2DM and LADA and their differential diagnosis.

methodsTwelve venous blood samples were collected from T2DM patients, LADA patients, and nondiseased subjects to obtain total RNAs. After removing rRNA from total RNAs to establish the desired library for sequencing, quality control and quantification analyses were carried out. The fragments per kilobase of exon model per million reads mapped (FPKM) of lncRNAs were calculated to construct the gene expression profiles of lncRNAs and mRNAs. Fold changes (fold change: 2.0) and

resultsCompared to nondiseased controls, 68,763 versus 28,523 lncRNAs and 133 versus 1035 mRNAs were significantly upregulated and significantly downregulated, respectively, in T2DM patients. For LADA patients, 68,748 versus 28,538 lncRNAs and 219 versus 805 mRNAs were significantly upregulated and significantly downregulated, respectively, relative to nondiseased controls. Compared to T2DM patients, 74,207 versus 23,079 lncRNAs and 349 versus 137 mRNAs were significantly upregulated and significantly downregulated, respectively, in LADA patients. Based on the correlation analysis, seven lncRNA-mRNA pairs (BTG2, A2M, HECTD4, MBTPS1, DBH, FLVCR1, and NCBP2) were significantly coexpressed, and two lncRNAs (ENST00000608916 and ENST00000436373) were newly discovered.

conclusionSignificant differences in lncRNA expression were discovered among the three groups. Furthermore, after predicting lncRNA expression profiles, GO/KEGG pathway analysis could deduce the target gene function.

Identifiers

PMID32148491
PMCPMC7049833
OpenAlexW3008144398

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.