Evidence map›Paper›PMID 40838416›Full record

ArticleEpigenomics2025

The NEAT1/miR-124-3p/CCL2 axis in chronic kidney disease progression: integrated bioinformatics analysis and experimental validation.

Guanting Chen, Linqi Zhang, Yaoxian Wang, Jianfeng Wang, Kang Yang, Xixi Wang, Xu Chen

Abstract read
In one paragraph

Article in Epigenomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Guanting ChenDepartment of Nephrology, First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Linqi ZhangDepartment of Nephrology, First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Yaoxian WangHenan Collaborative Innovation Center for Prevention and Treatment of Major Diseases through Integrated Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Jianfeng WangHenan Collaborative Innovation Center for Prevention and Treatment of Major Diseases through Integrated Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Kang YangDepartment of Nephrology, First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Xixi WangDepartment of Nephrology, First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Xu ChenDepartment of Nephrology, First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronickidney disease (CKD) is a major global health burden lacking effectivetherapies. Renal interstitial fibrosis (RIF) is a key pathological driver ofCKD progression. This study aimed to identify novel diagnostic biomarkers and therapeutictargets. RESEARCH DESIGN AND

methodsWeanalyzed the GEO dataset GSE137570 to identify differentially expressed genes(DEGs). Protein-protein interaction (PPI) networks were constructed to screen HubGenes. A competing endogenous RNA (ceRNA) network was predicted. Validationincluded single-cell sequencing, in vitro epithelial-mesenchymal transition(EMT) models using Transforming growth factor-β 1 (TGF-β1)-treated TCMK1 cells,clinical samples (64 CKD patients, 20 healthy controls), and dual-luciferasereporter assays (DLRA).

resultsFiveHub Genes (EGF, VCAN, CXCL1, MMP7, CCL2) were identified, with CCL2 being themost central. Enrichment analyses linked them to immune/inflammatory responses.DLRA confirmed specific targeting between miR-124-3p and both NEAT1 and CCL2,supporting the NEAT1/miR-124-3p/CCL2 axis. Clinically, serum CCL2 increasedwhile miR-124-3p and NEAT1 decreased with CKD progression; all three showedgood diagnostic accuracy for staging.

conclusionsEGF,VCAN, CXCL1, MMP7, and particularly CCL2 are potential CKDbiomarkers/therapeutic targets. The NEAT1/miR-124-3p/CCL2 axis is a keyregulatory pathway in CKD. Key limitations include the moderate sample sizes inbioinformatics and clinical cohorts.

Indexed as

Chemokine CCL2MicroRNAsRenal Insufficiency, ChronicRNA, Long NoncodingBiomarkersComputational BiologyDisease ProgressionEpithelial-Mesenchymal TransitionGene Regulatory NetworksHumansProtein Interaction MapsBiomarkersCCL2 protein, humanChemokine CCL2MicroRNAsMIRN124 microRNA, humanNEAT1 long non-coding RNA, humanRNA, Long NoncodingBioinformaticsCCL2chronic kidney diseasemiR-124-3pNEAT1renal interstitial fibrosis

Identifiers

PMID40838416
PMCPMC12490396

What Socratic holds

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LicenceCC BY-NC-ND
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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.