189 related articles for article (PubMed ID: 37737517)
1. Identification and validation of voltage-dependent anion channel 1-related genes and immune cell infiltration in diabetic nephropathy.
Lin J; Weng M; Zheng J; Nie K; Rao S; Zhuo Y; Wan J
J Diabetes Investig; 2024 Jan; 15(1):87-105. PubMed ID: 37737517
[TBL] [Abstract][Full Text] [Related]
2. Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis.
Hu Y; Yu Y; Dong H; Jiang W
PeerJ; 2023; 11():e15437. PubMed ID: 37250717
[TBL] [Abstract][Full Text] [Related]
3. Identification and validation of immune and cuproptosis - related genes for diabetic nephropathy by WGCNA and machine learning.
Chen Y; Liao L; Wang B; Wu Z
Front Immunol; 2024; 15():1332279. PubMed ID: 38390317
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of copper-related biomarkers and potential molecule mechanism in diabetic nephropathy.
Ming J; Sana SRGL; Deng X
Front Endocrinol (Lausanne); 2022; 13():978601. PubMed ID: 36329882
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics led discovery of biomarkers related to immune infiltration in diabetes nephropathy.
Wang S; Chen S; Gao Y; Zhou H
Medicine (Baltimore); 2023 Sep; 102(35):e34992. PubMed ID: 37656997
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
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 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]
11. Bioinformatics analysis identifies immune-related gene signatures and subtypes in diabetic nephropathy.
Lu K; Wang L; Fu Y; Li G; Zhang X; Cao M
Front Endocrinol (Lausanne); 2022; 13():1048139. PubMed ID: 36568106
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning.
Su J; Peng J; Wang L; Xie H; Zhou Y; Chen H; Shi Y; Guo Y; Zheng Y; Guo Y; Dong Z; Zhang X; Liu H
Front Endocrinol (Lausanne); 2023; 14():1206154. PubMed ID: 37745718
[TBL] [Abstract][Full Text] [Related]
14. IDO1 as a new immune biomarker for diabetic nephropathy and its correlation with immune cell infiltration.
Yu K; Li D; Xu F; Guo H; Feng F; Ding Y; Wan X; Sun N; Zhang Y; Fan J; Liu L; Yang H; Yang X
Int Immunopharmacol; 2021 May; 94():107446. PubMed ID: 33581581
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of ULK1 as a novel mitophagy-related gene in diabetic nephropathy.
Yang YY; Gao ZX; Mao ZH; Liu DW; Liu ZS; Wu P
Front Endocrinol (Lausanne); 2022; 13():1079465. PubMed ID: 36743936
[TBL] [Abstract][Full Text] [Related]
17. Identification of tubulointerstitial genes and ceRNA networks involved in diabetic nephropathy via integrated bioinformatics approaches.
Cao H; Rao X; Jia J; Yan T; Li D
Hereditas; 2022 Sep; 159(1):36. PubMed ID: 36154667
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Investigation of T cell-related hub genes in diabetic nephropathy by bioinformatics analysis and experiment validation.
Luo H; Yang L; Ma D; Bao X; Zhang G; Li B; Cao S; Liu S; Bao L; Jing E ; Zheng Y
Mol Immunol; 2024 Feb; 166():65-78. PubMed ID: 38244370
[TBL] [Abstract][Full Text] [Related]
20. Identification of fibronectin 1 (FN1) and complement component 3 (C3) as immune infiltration-related biomarkers for diabetic nephropathy using integrated bioinformatic analysis.
Wang Y; Zhao M; Zhang Y
Bioengineered; 2021 Dec; 12(1):5386-5401. PubMed ID: 34424825
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
