273 related articles for article (PubMed ID: 36743936)
1. 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]
2. 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]
3. 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]
4. Unveiling the mitophagy puzzle in non-alcoholic fatty liver disease (NAFLD): Six hub genes for early diagnosis and immune modulatory roles.
Luo Z; Yan S; Chao Y; Shen M
Heliyon; 2024 Apr; 10(7):e28935. PubMed ID: 38601640
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. The landscape of immune cell infiltration in the glomerulus of diabetic nephropathy: evidence based on bioinformatics.
Zhou W; Liu Y; Hu Q; Zhou J; Lin H
BMC Nephrol; 2022 Sep; 23(1):303. PubMed ID: 36064366
[TBL] [Abstract][Full Text] [Related]
13. Identification and validation of disulfidptosis-related gene signatures and their subtype in diabetic nephropathy.
Xu D; Jiang C; Xiao Y; Ding H
Front Genet; 2023; 14():1287613. PubMed ID: 38028597
[No Abstract] [Full Text] [Related]
14. 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]
15. 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]
16. Identification and Verification of Diagnostic Biomarkers for Glomerular Injury in Diabetic Nephropathy Based on Machine Learning Algorithms.
Han H; Chen Y; Yang H; Cheng W; Zhang S; Liu Y; Liu Q; Liu D; Yang G; Li K
Front Endocrinol (Lausanne); 2022; 13():876960. PubMed ID: 35663304
[TBL] [Abstract][Full Text] [Related]
17. Mitophagy-related genes could facilitate the development of septic shock during immune infiltration.
Yang YS; Zheng WJ; Liu CY; Chen WC; Xie WX; He HF
Medicine (Baltimore); 2023 Oct; 102(42):e35154. PubMed ID: 37861563
[TBL] [Abstract][Full Text] [Related]
18.
Wang X; Li R; Liu T; Jia Y; Gao X; Zhang X
Endocr Metab Immune Disord Drug Targets; 2023; 23(3):294-303. PubMed ID: 35713142
[TBL] [Abstract][Full Text] [Related]
19. CD8+T Cell-Related Gene Biomarkers in Macular Edema of Diabetic Retinopathy.
Huang J; Zhou Q
Front Endocrinol (Lausanne); 2022; 13():907396. PubMed ID: 35937822
[TBL] [Abstract][Full Text] [Related]
20. Identification of pyroptosis-related genes and potential drugs in diabetic nephropathy.
Yan M; Li W; Wei R; Li S; Liu Y; Huang Y; Zhang Y; Lu Z; Lu Q
J Transl Med; 2023 Jul; 21(1):490. PubMed ID: 37480090
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
