Evidence map›Paper›PMID 36874406›Full record

ArticleJournal of the renin-angiotensin-aldosterone system : JRAAS2023

Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes.

Linjuan Huang, Shengxi Xiong, Hanshuang Liu, Min Li, Ranran Zhang, Yan Liu, Xiaolei Hu

Open access · hybridAbstract read
In one paragraph

Article in Journal of the renin-angiotensin-aldosterone system : JRAAS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 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

7 authors at 1 institution in 1 country.

Linjuan HuangThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0003-0260-9920
Shengxi XiongThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0001-8923-4951
Hanshuang LiuThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0003-0960-4225
Min LiThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0002-7357-3649
Ranran ZhangThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0002-3188-5644
Yan LiuThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0002-3395-7058
Xiaolei HuThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.ORCID https://orcid.org/0000-0002-9988-471X
First Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes is a chronic inflammatory state, and a key role of lncRNAs in diabetes complications is a new area of research. Methods: In this study, key lncRNAs related to diabetes inflammation were identified by RNA-chip mining and lncRNA-mRNA coexpression network construction and finally verified by RT-qPCR. Results: We ultimately obtained 12 genes, including A1BG-AS1, AC084125.4, RAMP2-AS1, FTX, DBH-AS1, LOXL1-AS1, LINC00893, LINC00894, PVT1, RUSC1-AS1, HCG25, and ATP1B3-AS1. RT-qPCR assays verified that LOXL1-AS1, A1BG-AS1, FTX, PVT1, and HCG25 were upregulated in the HG+LPS-induced THP-1 cells, and LINC00893, LINC00894, RUSC1-AS1, DBH-AS1, and RAMP2-AS1 were downregulated in the HG+LPS-induced THP-1 cells. Conclusions: lncRNAs and mRNAs are extensively linked and form a coexpression network, and lncRNAs may influence the development of type 2 diabetes by regulating the corresponding mRNAs. The ten key genes obtained may become biomarkers of inflammation in type 2 diabetes in the future.

Indexed as

Diabetes Mellitus, Type 2RNA, Long NoncodingComputational BiologyHumansInflammationLipopolysaccharidesRNA, MessengerSodium-Potassium-Exchanging ATPaseATP1B3 protein, humanLipopolysaccharidesRNA, Long NoncodingRNA, MessengerSodium-Potassium-Exchanging ATPase

Identifiers

PMID36874406
PMCPMC9977555
OpenAlexW4321482796

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.