These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
159 related articles for article (PubMed ID: 38107383)
1. Unveiling Lin J; Li X; Lin Y; Huang Z; He F; Xiong F J Inflamm Res; 2023; 16():6139-6153. PubMed ID: 38107383 [TBL] [Abstract][Full Text] [Related]
2. Integrated approach of machine learning, Mendelian randomization and experimental validation for biomarker discovery in diabetic nephropathy. Zhu Y; Liu J; Wang B Diabetes Obes Metab; 2024 Dec; 26(12):5646-5660. PubMed ID: 39370621 [TBL] [Abstract][Full Text] [Related]
3. Bioinformatics analysis identifies diagnostic biomarkers and their correlation with immune infiltration in diabetic nephropathy. Huang M; Zhu Z; Nong C; Liang Z; Ma J; Li G Ann Transl Med; 2022 Jun; 10(12):669. PubMed ID: 35845512 [TBL] [Abstract][Full Text] [Related]
4. VCAM1: an effective diagnostic marker related to immune cell infiltration in diabetic nephropathy. Deng Y; Zhang S; Luo Z; He P; Ma X; Ma Y; Wang J; Zheng L; Tian N; Dong S; Zhang X; Zhang M Front Endocrinol (Lausanne); 2024; 15():1426913. PubMed ID: 39319258 [TBL] [Abstract][Full Text] [Related]
5. Identifying Aging-Related Biomarkers and Immune Infiltration Features in Diabetic Nephropathy Using Integrative Bioinformatics Approaches and Machine-Learning Strategies. Liu T; Zhuang XX; Gao JR Biomedicines; 2023 Sep; 11(9):. PubMed ID: 37760894 [TBL] [Abstract][Full Text] [Related]
6. Apoptosis and NETotic cell death affect diabetic nephropathy independently: An study integrative study encompassing bioinformatics, machine learning, and experimental validation. Cai H; Zeng Y; Luo D; Shao Y; Liu M; Wu J; Gao X; Zheng J; Zhou L; Liu F Genomics; 2024 Jul; 116(4):110879. PubMed ID: 38851464 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy Guo M; Dai Y; Jiang L; Gao J Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518 [TBL] [Abstract][Full Text] [Related]
9. Integrative analyses of biomarkers and pathways for diabetic nephropathy. Li B; Zhao X; Xie W; Hong Z; Zhang Y Front Genet; 2023; 14():1128136. PubMed ID: 37113991 [No Abstract] [Full Text] [Related]
10. Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms. Guo C; Wang W; Dong Y; Han Y BMC Med Genomics; 2024 Aug; 17(1):220. PubMed ID: 39187837 [TBL] [Abstract][Full Text] [Related]
11. Identification of a novel immune landscape signature as effective diagnostic markers related to immune cell infiltration in diabetic nephropathy. Zhou H; Mu L; Yang Z; Shi Y Front Immunol; 2023; 14():1113212. PubMed ID: 36969169 [TBL] [Abstract][Full Text] [Related]
12. Seven basement membrane-specific expressed genes are considered potential biomarkers for the diagnosis and treatment of diabetic nephropathy. Gui H; Chen X; Ye L; Ma H Acta Diabetol; 2023 Apr; 60(4):493-505. PubMed ID: 36627452 [TBL] [Abstract][Full Text] [Related]
13. Identification of Hub Genes Involved in Tubulointerstitial Injury in Diabetic Nephropathy by Bioinformatics Analysis and Experiment Verification. Yang J; Peng L; Tian Y; Tang W; Peng L; Ning J; Li D; Peng Y J Immunol Res; 2022; 2022():7907708. PubMed ID: 35991124 [TBL] [Abstract][Full Text] [Related]
14. Unveiling diabetic nephropathy: a novel diagnostic model through single-cell sequencing and co-expression analysis. Wang G; Zhao J; Zhou M; Lu H; Mao F Aging (Albany NY); 2024 Jul; 16(13):10972-10984. PubMed ID: 38968594 [TBL] [Abstract][Full Text] [Related]
15. Comprehensive Analysis of Fatty Acid Metabolism in Diabetic Nephropathy from the Perspective of Immune Landscapes, Diagnosis and Precise Therapy. Zhu E; Zhong M; Liang T; Liu Y; Wu K; Zhang Z; Zhao S; Guan H; Chen J; Zhang LZ; Zhang Y J Inflamm Res; 2024; 17():693-710. PubMed ID: 38332898 [TBL] [Abstract][Full Text] [Related]
16. GBP2 promotes M1 macrophage polarization by activating the notch1 signaling pathway in diabetic nephropathy. Li X; Liu J; Zeng M; Yang K; Zhang S; Liu Y; Yin X; Zhao C; Wang W; Xiao L Front Immunol; 2023; 14():1127612. PubMed ID: 37622120 [TBL] [Abstract][Full Text] [Related]
17. Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy. Peng YL; Zhang Y; Pang L; Dong YF; Li MY; Liao H; Li RS Diabetes Metab Syndr Obes; 2023; 16():1669-1684. PubMed ID: 37312900 [TBL] [Abstract][Full Text] [Related]
18. Screening of the Key Genes and Signalling Pathways for Diabetic Nephropathy Using Bioinformatics Analysis. Li Z; Feng J; Zhong J; Lu M; Gao X; Zhang Y Front Endocrinol (Lausanne); 2022; 13():864407. PubMed ID: 35923621 [TBL] [Abstract][Full Text] [Related]
19. Network pharmacology analysis combined with experimental validation to explore the therapeutic mechanism of Schisandra Chinensis Mixture on diabetic nephropathy. Ma Y; Deng Y; Li N; Dong A; Li H; Chen S; Zhang S; Zhang M J Ethnopharmacol; 2023 Feb; 302(Pt A):115768. PubMed ID: 36280016 [TBL] [Abstract][Full Text] [Related]
20. Integrated Bioinformatics and Clinical Correlation Analysis of Key Genes, Pathways, and Potential Therapeutic Agents Related to Diabetic Nephropathy. Chen S; Chen L; Jiang H Dis Markers; 2022; 2022():9204201. PubMed ID: 35637650 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]