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Javascript is curently disabled in your browser. Several features of this site wil not function whilst javascript is disabled.open aces to scientific and medical researchPapers PublishedOpen aces per-reviewed scientific and medical journals.Learn moreDove Medical Pres is a member of the OAI.Learn moreBulk reprints for the pharmaceutical industry.Learn moreWe ofer real benefits to our authors, including fast-track procesing of papers.Learn moreRegister your specific details and specific drugs of interest and we wil match the information you provide to articles from our extensive database and email PDF copies to you promptly.Learn moreBack to Journals » Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy » Volume 15 Authors Lei L , Bai Y, Fan Y, Li Y, Jiang H, Wang J Received 2 May 202 Acepted for publication 20 September 202 Published 10 October 202 Volume 202:15 Pages 3069—3080 DOI htps:/doi.org/10.2147/DMSO.S371026 Checked for plagiarism Yes Review by Single anonymous per review Per reviewer coments 2 Editor who aproved publication: Dr Konstantinos Tziomalos Lei,1 Yihua Bai,1 Yang Fan,1 Yaling Li,1 Hongying Jiang,1 Jiaping Wang2 1Department of Nephrology, The Second Hospital Afiliated to Kunming Medical University, Kunming, Yunan, People’s Republic of China; 2Department of Radiology, The Second Hospital Afiliated to Kunming Medical University, Kunming, Yunan, People’s Republic of ChinaCorespondence: Yihua Bai, Department of Nephrology, The Second Hospital Afiliated to Kunming Medical University, Kunming, Yunan, People’s Republic of China, Email [email protected]Background: Diabetic nephropathy (DN) is a primary driver of end-stage renal disease.
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Given the heterogeneity of renal lesions and the complex mechanisms of DN, the present-day diagnostic aproach remains highly controversial. We aimed to design a diagnostic model by bioinformatics methods for discriminating DN patients from normal subjec