292 related articles for article (PubMed ID: 36960398)
21. 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; 16(1):90. PubMed ID: 37127580
[TBL] [Abstract][Full Text] [Related]
22. Machine-learning algorithm-based prediction of a diagnostic model based on oxidative stress-related genes involved in immune infiltration in diabetic nephropathy patients.
Zhu HM; Liu N; Sun DX; Luo L
Front Immunol; 2023; 14():1202298. PubMed ID: 37554330
[TBL] [Abstract][Full Text] [Related]
23. Identification of PHACTR4 as A New Biomarker for Diabetic Nephropathy and Its Correlation with Glomerular Endothelial Dysfunction and Immune Infiltration.
Yu B; Meng M; Li T; Shi Y
Iran J Kidney Dis; 2023 Nov; 17(6):314-326. PubMed ID: 38043109
[TBL] [Abstract][Full Text] [Related]
24. Elevated ALOX12 in renal tissue predicts progression in diabetic kidney disease.
Wang M; Wang J; Wang J; Wu Y; Qi X
Ren Fail; 2024 Dec; 46(1):2313182. PubMed ID: 38345057
[TBL] [Abstract][Full Text] [Related]
25. FN1 and TGFBI are key biomarkers of macrophage immune injury in diabetic kidney disease.
Dou F; Liu Q; Lv S; Xu Q; Wang X; Liu S; Liu G
Medicine (Baltimore); 2023 Nov; 102(45):e35794. PubMed ID: 37960829
[TBL] [Abstract][Full Text] [Related]
26. Identifying key genes for diabetic kidney disease by bioinformatics analysis.
Xu Y; Li L; Tang P; Zhang J; Zhong R; Luo J; Lin J; Zhang L
BMC Nephrol; 2023 Oct; 24(1):305. PubMed ID: 37853335
[TBL] [Abstract][Full Text] [Related]
27. 5-Hydroxymethylcytosine profiles in plasma cell-free DNA reflect molecular characteristics of diabetic kidney disease.
Chu JL; Bi SH; He Y; Ma RY; Wan XY; Wang ZH; Zhang L; Zheng MZ; Yang ZQ; Du LW; Maimaiti Y; Biekedawulaiti G; Duolikun M; Chen HY; Chen L; Li LL; Tie L; Lin J
Front Endocrinol (Lausanne); 2022; 13():910907. PubMed ID: 35966076
[TBL] [Abstract][Full Text] [Related]
28. Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy.
Zhang H; Hu J; Zhu J; Li Q; Fang L
Front Endocrinol (Lausanne); 2022; 13():1026938. PubMed ID: 36482994
[TBL] [Abstract][Full Text] [Related]
29. 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; 25():1699-1708. PubMed ID: 30835718
[TBL] [Abstract][Full Text] [Related]
30. Identification of key immune-related genes and immune infiltration in diabetic nephropathy based on machine learning algorithms.
Sun Y; Dai W; He W
IET Syst Biol; 2023 Jun; 17(3):95-106. PubMed ID: 36919187
[TBL] [Abstract][Full Text] [Related]
31. Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning.
Xu M; Zhou H; Hu P; Pan Y; Wang S; Liu L; Liu X
Front Immunol; 2023; 14():1084531. PubMed ID: 36911691
[TBL] [Abstract][Full Text] [Related]
32. Stratification of diabetic kidney diseases
Huang Q; Fei X; Zhong Z; Zhou J; Gong J; Chen Y; Li Y; Wu X
Front Endocrinol (Lausanne); 2022; 13():995362. PubMed ID: 36465646
[TBL] [Abstract][Full Text] [Related]
33.
Sur S; Nguyen M; Boada P; Sigdel TK; Sollinger H; Sarwal MM
Front Immunol; 2021; 12():769972. PubMed ID: 34925339
[TBL] [Abstract][Full Text] [Related]
34. Screening immune-related blood biomarkers for DKD-related HCC using machine learning.
Chen C; Xie Z; Ni Y; He Y
Front Immunol; 2024; 15():1339373. PubMed ID: 38318171
[TBL] [Abstract][Full Text] [Related]
35. Investigate the genetic mechanisms of diabetic kidney disease complicated with inflammatory bowel disease through data mining and bioinformatic analysis.
Zhang X; Xiao H; Fu S; Yu J; Cheng Y; Jiang Y
Front Endocrinol (Lausanne); 2022; 13():1081747. PubMed ID: 36726458
[TBL] [Abstract][Full Text] [Related]
36. Gene Biomarkers Related to Th17 Cells in Macular Edema of Diabetic Retinopathy: Cutting-Edge Comprehensive Bioinformatics Analysis and
Huang J; Zhou Q
Front Immunol; 2022; 13():858972. PubMed ID: 35651615
[TBL] [Abstract][Full Text] [Related]
37. APOC1 as a novel diagnostic biomarker for DN based on machine learning algorithms and experiment.
Yu K; Li S; Wang C; Zhang Y; Li L; Fan X; Fang L; Li H; Yang H; Sun J; Yang X
Front Endocrinol (Lausanne); 2023; 14():1102634. PubMed ID: 36891052
[TBL] [Abstract][Full Text] [Related]
38. Identification of Oxidative Stress-Related Biomarkers in Diabetic Kidney Disease.
Ma X; Zhang X; Leng T; Ma J; Yuan Z; Gu Y; Hu T; Liu Q; Shen T
Evid Based Complement Alternat Med; 2022; 2022():1067504. PubMed ID: 36624863
[TBL] [Abstract][Full Text] [Related]
39. Identification and validation of key biomarkers for the early diagnosis of diabetic kidney disease.
Yu W; Wang T; Wu F; Zhang Y; Shang J; Zhao Z
Front Pharmacol; 2022; 13():931282. PubMed ID: 36071835
[No Abstract] [Full Text] [Related]
40. Landscape of infiltrating immune cells and related genes in diabetic kidney disease.
Wang J; Chen W; Chen S; Yue G; Hu Y; Xu J
Clin Exp Nephrol; 2024 Mar; 28(3):181-191. PubMed ID: 37882850
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]