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Journal Abstract Search
223 related items for PubMed ID: 30819181
1. Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease. Zhou LT, Lv LL, Qiu S, Yin Q, Li ZL, Tang TT, Ni LH, Feng Y, Wang B, Ma KL, Liu BC. J Transl Med; 2019 Feb 28; 17(1):59. PubMed ID: 30819181 [Abstract] [Full Text] [Related]
2. Urinary mRNA Signatures as Predictors of Renal Function Decline in Patients With Biopsy-Proven Diabetic Kidney Disease. Lee YH, Seo JW, Kim M, Tae D, Seok J, Kim YG, Lee SH, Kim JS, Hwang HS, Jeong KH, Moon JY. Front Endocrinol (Lausanne); 2021 Feb 28; 12():774436. PubMed ID: 34858345 [Abstract] [Full Text] [Related]
3. Evaluation of urinary autophagy transcripts expression in diabetic kidney disease. Matboli M, Azazy AEM, Adel S, Bekhet MM, Eissa S. J Diabetes Complications; 2017 Oct 28; 31(10):1491-1498. PubMed ID: 28760651 [Abstract] [Full Text] [Related]
9. Clinical verification of a novel urinary microRNA panal: 133b, -342 and -30 as biomarkers for diabetic nephropathy identified by bioinformatics analysis. Eissa S, Matboli M, Bekhet MM. Biomed Pharmacother; 2016 Oct 28; 83():92-99. PubMed ID: 27470555 [Abstract] [Full Text] [Related]
11. Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease. Chen S, Li B, Chen L, Jiang H. BMC Med Genomics; 2023 May 01; 16(1):90. PubMed ID: 37127580 [Abstract] [Full Text] [Related]
13. Evaluation of Serum microRNAs in Patients with Diabetic Kidney Disease: A Nested Case-Controlled Study and Bioinformatics Analysis. Regmi A, Liu G, Zhong X, Hu S, Ma R, Gou L, Zafar MI, Chen L. Med Sci Monit; 2019 Mar 05; 25():1699-1708. PubMed ID: 30835718 [Abstract] [Full Text] [Related]
17. Long noncoding RNA: an emerging player in diabetes and diabetic kidney disease. Guo J, Liu Z, Gong R. Clin Sci (Lond); 2019 Jun 28; 133(12):1321-1339. PubMed ID: 31221822 [Abstract] [Full Text] [Related]