Evidence map›Paper›PMID 33344076›Full record

ArticlePeerJ2020

Comprehensive analysis of circRNA expression profiles and circRNA-associated competing endogenous RNA networks in IgA nephropathy.

Haiyang Liu, Di Liu, Yexin Liu, Ming Xia, Yan Li, Mei Li, Hong Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 10 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 2 institutions in 1 country.

Haiyang LiuDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Di LiuDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Yexin LiuDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Ming XiaDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Yan LiDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Mei LiDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Hong LiuDepartment of Nephrology, The Second Xiangya Hospital of Central University, Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunoglobulin A nephropathy (IgAN) is immune-mediated primary glomerulonephritis, which is the most common reason leading to renal failure worldwide. The exact pathogenesis of IgAN is not well defined. Accumulating evidence indicates that circular RNAs (circRNAs) play crucial roles in the immune disease by involving in the competing endogenous RNA (ceRNA) network mechanism. At present, the studies of the circRNA profiles and circRNA-associated ceRNA networks in the IgAN are still scarce. This study aimed to elucidate the potential roles of circRNA-associated ceRNA networks of peripheral blood mononuclear cells (PBMCs) in IgAN patients.

methodCircRNA sequencing was used to identify the differential expressed circRNAs (DEcircRNAs) of PBMCs in IgAN and healthy controls; limma packages from data sets GSE25590 and GSE73953 in the Gene Expression Omnibus (GEO) database, were used to identify differentially expressed micro RNAs (miRNAs) and message RNAs (mRNAs). A circRNA-miRNA-mRNA ceRNA network was constructed to further investigate the mechanisms of IgAN. Then, GO analysis and KEGG enrichment analyses were used to annotate the genes involved in the circRNA-associated ceRNA network. Further, Protein-protein interaction (PPI) networks were established to screen potential hub genes, by using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Last, a quantitative real-time polymerase chain reaction (qRT-PCR) was applied to verify the hub genes in the ceRNA network.

resultA total of 145 circRNAs, 22 miRNAs, and 1,117 mRNAs were differentially expressed in IgAN compared with controls (

conclusionOur study identified a novel circRNA-mediated ceRNA regulatory network mechanisms in the pathogenesis of IgAN.

Indexed as

Circular RNACompeting endogenous RNA networkIgA nephropathyPeripheral blood mononuclear cell

Identifiers

PMID33344076
PMCPMC7719294
OpenAlexW3106990508

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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.