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

EGF,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.

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Journal
Epigenomics
Published
2025-08-21
DOI
https://doi.org/10.1080/17501911.2025.2548762
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Kang Yang, Jianfeng Wang, Xu Chen, Xixi Wang et al.
Epigenomics
Cancer-related molecular mechanisms research
article

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

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

Abstract

EGF,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.

EpigenomicsVol. 17(14)
First Affiliated Hospital of Henan University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 73%
Cancer-related molecular mechanisms research
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