Evidence map›Paper›PMID 35140684›Full record

ArticleFrontiers in endocrinology2021

Identification of Key LncRNAs and Pathways in Prediabetes and Type 2 Diabetes Mellitus for Hypertriglyceridemia Patients Based on Weighted Gene Co-Expression Network Analysis.

Shoumeng Yan, Mengzi Sun, Lichao Gao, Nan Yao, Tianyu Feng, Yixue Yang, Xiaotong Li, Wenyu Hu, Weiwei Cui, Bo Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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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.

Shoumeng YanDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Mengzi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Lichao GaoDepartment of Endocrinology, The First Hospital of Jilin University, Changchun, China.
Nan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Tianyu FengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yixue YangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xiaotong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Wenyu HuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Weiwei CuiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Prevalence of prediabetes and type 2 diabetes mellitus(T2DM) are increasing worldwide. Key lncRNAs were detected to provide a reference for searching potential biomarkers of prediabetes and T2DM in hypertriglyceridemia patients. Methods: The study included 18 hypertriglyceridemia patients: 6 newly diagnosed type 2 diabetes patients, 6 samples with prediabetes and 6 samples with normal blood glucose. Weighted gene co-expression network analysis (WGCNA) was conducted to construct co-expression network and obtain modules related to blood glucose, thus detecting key lncRNAs. Results: The green, yellow and yellow module was significantly related to blood glucose in T2DM versus normal controls, T2DM versus prediabetes, prediabetes versus normal controls, respectively. ENST00000503273, ENST00000462720, ENST00000480633 and ENST00000485392 were detected as key lncRNAs for the above three groups, respectively. Conclusions: For hypertriglyceridemia patients with different blood glucose levels, ENST00000503273, ENST00000462720 and ENST00000480633 could be potential biomarkers of T2DM.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2FemaleGene Regulatory NetworksHumansHypertriglyceridemiaMaleMiddle AgedPrediabetic StateReal-Time Polymerase Chain ReactionRNA, Long NoncodingTranscriptomeBlood GlucoseRNA, Long NoncodingdiabeteshypertriglyceridemialncRNAsqRT-PCRWGCNA

Identifiers

PMID35140684
PMCPMC8818867

What Socratic 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 Socratic graph.