Evidence map›Paper›PMID 37127580›Full record

ArticleBMC medical genomics2023

Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease.

Shengnan Chen, Bo Li, Lei Chen, Hongli Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

4 authors at 2 institutions in 1 country.

Shengnan ChenDepartment of Blood Purification, Kidney Hospital, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No. 277, Xi'an, 710061, Shannxi, China.ORCID 0000-0003-0635-7724
Bo LiDepartment of Nephrology, Ningxia Medical University Affiliated People's Hospital of Autonomous Region of Ningxia, Yinchuan, 750002, Ningxia, China.
Lei ChenDepartment of Blood Purification, Kidney Hospital, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No. 277, Xi'an, 710061, Shannxi, China.
Hongli JiangDepartment of Blood Purification, Kidney Hospital, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No. 277, Xi'an, 710061, Shannxi, China. j92106@sina.com.ORCID 0000-0001-9262-6112
First Affiliated Hospital of Xi'an Jiaotong University · CNNingxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end-stage renal disease worldwide. Renal inflammation and infiltration of immune cells contribute to the development and progression of DKD. Thus, the aim of the present study was to identify and validate immune-related biomarkers and analyze potential regulators including transcription factors (TFs), microRNAs (miRNAs), and drugs for DKD.

methodsImmune-related genes from the ImmPort database and glomeruli samples from GSE1009 and GSE30528 were used to identify differentially expressed immune-related genes (DEIRGs) of DKD. The expression level and clinical correlation analyses of DEIRGs were verified in the Nephroseq database. Murine podocytes were cultured to construct the high glucose-induced podocyte injury model. The reliability of the bioinformatics analysis was experimentally validated by RT-qPCR in podocytes. Networks among DEIRGs, regulators, and drugs were constructed to predict potential regulatory mechanisms for DKD.

resultsDKD-associated DEIRGs were identified. CCL19 and IL7R were significantly upregulated in the DKD group and negatively correlated with glomerular filtration rate (GFR). GHR, FGF1, FYN, VEGFA, F2R, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly decreased in the DKD group and positively correlated with GFR. RT-qPCR showed that the relative mRNA expression levels of GHR, FGF1, FYN, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly down-regulated in the high glucose-induced podocyte injury group. The enriched regulators for DEIRGs included 110 miRNAs and 8 TFs. The abnormal expression of DEIRGs could be regulated by 16 established drugs.

conclusionsThis study identified immune-related biomarkers, regulators, and drugs of DKD. The findings of the present study provide novel insights into immune-related diagnosis and treatment of DKD.

Indexed as

Diabetes MellitusDiabetic NephropathiesMicroRNAsAnimalsBiomarkersFibroblast Growth Factor 1GlucoseHumansMiceReproducibility of ResultsBiomarkersFibroblast Growth Factor 1GlucoseMicroRNAsDiabetic kidney diseaseExperimental validationImmune-related biomarkersmicroRNAsTherapeutic drugsTranscription factors

Identifiers

PMID37127580
PMCPMC10150481
OpenAlexW4367597994

What OpenQuestion holds

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LicenceCC BY
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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.