Evidence map›Paper›PMID 40195568›Full record

ArticleRenal failure2025

Lumican as a potential biomarker for diabetic nephropathy.

Yuejia Tao, Yipeng Liu, Zunsong Wang, Lijun Tang, Ying Zhang, Shanshan Zheng, Ruixue Wang, Kai Wei, Shunyao Liu

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Yuejia TaoDepartment of Pathology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Shandong Lung Cancer Institute, Jinan, China.
Yipeng LiuDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Zunsong WangDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Lijun TangDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Ying ZhangDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Shanshan ZhengDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Ruixue WangDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Kai WeiDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.
Shunyao LiuDepartment of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Nephrology, Jinan, China.ORCID 0000-0002-6500-7559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe employed bioinformatics to identify potential biomarkers for diabetic nephropathy (DN) and investigate the role of the key gene lumican in its molecular processes.

methodsWe analyzed the GSE96804 and GSE30528 DN datasets from the Gene Expression Omnibus (GEO). GO and GSEA-KEGG enrichment analyses were used to identify key biological functions and related pathways. Cytoscape software was used to screen differentially expressed genes (DEGs) to obtain hub genes. The Nephroseq database was used to analyze the effect of hub genes on renal function, and the importance of lumican, a gene potentially related to DN progression, was further examined in clinical samples. GO and KEGG analyses were performed on lumican and its interacting proteins to elucidate their main biological functions and related pathways.

resultsWe identified 1139 DEGs. GO enrichment analysis revealed that the DEGs were mainly involved in responses to hexose, cell-cell junctions. GSEA-KEGG enrichment analysis indicated that the DEGs were related to amino acid metabolism, adipokine signaling. Nephroseq database analysis revealed that hub genes were upregulated in the kidney tissues of patients with DN and that their expression was negatively correlated with estimated glomerular filtration rate (eGFR). Lumican was among the top hub genes, and its expression was increased in renal tissues of DN patients as confirmed by immunohistochemistry and immunofluorescence. GO and KEGG enrichment analyses revealed that lumican and its interacting proteins were associated with extracellular matrix organization.

conclusionLumican is a potential biomarker for predicting DN and is closely related to the extracellular matrix. These findings provide novel insights into the clinical diagnosis and treatment of DN.

Indexed as

Diabetic NephropathiesLumicanBiomarkersComputational BiologyDatabases, GeneticGene Expression ProfilingGlomerular Filtration RateHumansKidneyUp-RegulationBiomarkersLumicanLUM protein, humanbioinformaticsbiomarkersDiabetic nephropathyhub genelumican

Identifiers

PMID40195568
PMCPMC11983523

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