Evidence map›Paper›PMID 33176720›Full record

ArticleBMC nephrology2020

Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network.

Zhen Wang, Zhongjie Liu, Yingxia Yang, Lei Kang

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Zhen WangNephrology Department, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, No.5 Haiyuncang Road, Dongcheng District, Beijing, 100700, China.
Zhongjie LiuNephrology Department, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, No.5 Haiyuncang Road, Dongcheng District, Beijing, 100700, China.
Yingxia YangNephrology Department, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, No.5 Haiyuncang Road, Dongcheng District, Beijing, 100700, China.
Lei KangNeurology Department, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, No.5 Haiyuncang Road, Dongcheng District, Beijing, 100700, China. hyg0926@163.com.
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

National Natural Science Foundation of China 81804032
6 · The paper itself

Abstract

backgroundHypertensive nephropathy (HTN) is a kind of renal injury caused by chronic hypertension, which seriously affect people's life. The purpose of this study was to identify the potential biomarkers of HTN and understand its possible mechanisms.

methodsThe dataset numbered GSE28260 related to hypertensive and normotensive was downloaded from NCBI Gene Expression Omnibus. Then, the differentially expressed RNAs (DERs) were screened using R limma package, and functional analyses of DE-mRNA were performed by DAVID. Afterwards, a ceRNA network was established and KEGG pathway was analyzed based on the Gene Set Enrichment Analysis (GSEA) database. Finally, a ceRNA regulatory network directly associated with HTN was proposed.

resultsA total of 947 DERs were identified, including 900 DE-mRNAs, 20 DE-lncRNAs and 27 DE-miRNAs. Based on these DE-mRNAs, they were involved in biological processes such as fatty acid beta-oxidation, IRE1-mediated unfolded protein response, and transmembrane transport, and many KEGG pathways like glycine, serine and threonine metabolism, carbon metabolism. Subsequently, lncRNAs KCTD21-AS1, LINC00470 and SNHG14 were found to be hub nodes in the ceRNA regulatory network. KEGG analysis showed that insulin signaling pathway, glycine, serine and threonine metabolism, pathways in cancer, lysosome, and apoptosis was associated with hypertensive. Finally, insulin signaling pathway was screened to directly associate with HTN and was regulated by mRNAs PPP1R3C, PPKAR2B and AKT3, miRNA has-miR-107, and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG.

conclusionsInsulin signaling pathway was directly associated with HTN, and miRNA has-miR-107 and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG were the biomarkers of HTN. These results would improve our understanding of the occurrence and development of HTN.

Indexed as

Gene Regulatory NetworksBiomarkersDatasets as TopicHumansHypertension, RenalInsulinMicroRNAsNephritisSignal TransductionBiomarkersInsulinMicroRNAsceRNA network directly associated with HTNDifferentially expressed RNAsFunctional analysisHypertensive nephropathy

Identifiers

PMID33176720
PMCPMC7659166
OpenAlexW3106141047

What OpenQuestion holds

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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.