Evidence map›Paper›PMID 41280375›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Diagnostic Roles of circXPNPEP3 as Biomarker for Diabetic Nephropathy.

Miao Liu, Qiunan Zhan, Junjun Zhu, Junli Zhao, Danyan Min

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

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5 authors.

Miao LiuDepartment of Nephrology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai Pudong New District Zhoupu Hospital, Shanghai, People's Republic of China.
Qiunan ZhanDepartment of Nephrology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai Pudong New District Zhoupu Hospital, Shanghai, People's Republic of China.
Junjun ZhuDepartment of Nephrology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai Pudong New District Zhoupu Hospital, Shanghai, People's Republic of China.
Junli ZhaoDepartment of Nephrology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai Pudong New District Zhoupu Hospital, Shanghai, People's Republic of China.
Danyan MinDepartment of Nephrology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai Pudong New District Zhoupu Hospital, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic nephropathy (DN) is a common chronic microvascular complication of diabetes mellitus (DM). Circular RNAs (circRNAs) have emerged as ideal biomarkers for various diseases. Recent studies have shown that circXPNPEP3 is upregulated in high glucose-induced human umbilical vein endothelial cells. In this study, we aimed to examine the expression levels of circXPNPEP3 in the serum of patients with DN and to evaluate its diagnostic potential for this condition. Methods: The expression levels of circXPNPEP3 in DN tissues and serum were detected using quantitative real-time polymerase chain reaction (qRT-PCR). DN was confirmed by biopsy or clinically defined as a urine albumin/creatinine ratio (uACR) > 30 mg/g or an estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m Results: The expression levels of circXPNPEP3 were significantly upregulated in both DN tissues and serum compared to those in non-DN tissues and serum from healthy controls. The dysregulation of circXPNPEP3 was significantly correlated with albuminuria categories and glomerular filtration rate (GFR) categories. Serum expression of circXPNPEP3 distinguished patients with DN from controls, yielding an area under the ROC curve (AUC) of 0.8389, with a sensitivity of 70.59% and a specificity of 86.27%. Finally, hsa-miR-135b-5p, hsa-miR-135a-3p, and hsa-miR-1237-3p were predicted to be potential targets of circXPNPEP3 in DN, and a competing endogenous RNA (ceRNA) network involving circXPNPEP3 was constructed based on bioinformatic predictions. Conclusion: CircXPNPEP3 is upregulated in DN tissues and serum. Its elevated expression in serum shows promise as a non-invasive diagnostic biomarker for DN.

Indexed as

biomarkercircular RNAdiabetic nephropathyserum

Identifiers

PMID41280375
PMCPMC12637042

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