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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 38304805)

  • 1. Bioinformatics reveals the pathophysiological relationship between diabetic nephropathy and periodontitis in the context of aging.
    Yan P; Ke B; Fang X
    Heliyon; 2024 Jan; 10(2):e24872. PubMed ID: 38304805
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis.
    Wang L; Su J; Liu Z; Ding S; Li Y; Hou B; Hu Y; Dong Z; Tang J; Liu H; Liu W
    BioData Min; 2024 Jul; 17(1):20. PubMed ID: 38951833
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Bioinformatics analysis of effective biomarkers and immune infiltration in type 2 diabetes with cognitive impairment and aging.
    Wang Q; Yang Y
    Sci Rep; 2024 Oct; 14(1):23279. PubMed ID: 39375405
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Exploration of the shared diagnostic genes and mechanisms between periodontitis and primary Sjögren's syndrome by integrated comprehensive bioinformatics analysis and machine learning.
    Wang S; Wang Q; Zhao K; Zhang S; Chen Z
    Int Immunopharmacol; 2024 Nov; 141():112899. PubMed ID: 39142001
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson's disease, and periodontitis using integrated bioinformatics analyses.
    Hu S; Li S; Ning W; Huang X; Liu X; Deng Y; Franceschi D; Ogbuehi AC; Lethaus B; Savkovic V; Li H; Gaus S; Zimmerer R; Ziebolz D; Schmalz G; Huang S
    Front Aging Neurosci; 2022; 14():1032401. PubMed ID: 36545026
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and validation of aging-related gene signatures and their immune landscape in diabetic nephropathy.
    Liang Y; Liang Z; Huang J; Jia M; Liu D; Zhang P; Fang Z; Hu X; Li H
    Front Med (Lausanne); 2023; 10():1158166. PubMed ID: 37404805
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Identification of mitochondria-related genes as diagnostic biomarkers for diabetic nephropathy and their correlation with immune infiltration: New insights from bioinformatics analysis.
    Yan Q; Du Y; Huang F; Zhang Q; Zhan M; Wu J; Yan J; Zhang P; Lin H; Han L; Huang X
    Int Immunopharmacol; 2024 Dec; 142(Pt A):113114. PubMed ID: 39265357
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Screening of crosstalk and pyroptosis-related genes linking periodontitis and osteoporosis based on bioinformatics and machine learning.
    Liu J; Zhang D; Cao Y; Zhang H; Li J; Xu J; Yu L; Ye S; Yang L
    Front Immunol; 2022; 13():955441. PubMed ID: 35990678
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Integrated analysis of potential gene crosstalk between non-alcoholic fatty liver disease and diabetic nephropathy.
    Yan Q; Zhao Z; Liu D; Li J; Pan S; Duan J; Dong J; Liu Z
    Front Endocrinol (Lausanne); 2022; 13():1032814. PubMed ID: 36387855
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Causal relationship between 731 immune cells and the risk of diabetic nephropathy: a two‑sample bidirectional Mendelian randomization study.
    Song S; Sun Y; Yu J
    Ren Fail; 2024 Dec; 46(2):2387208. PubMed ID: 39091101
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated analysis and exploration of potential shared gene signatures between carotid atherosclerosis and periodontitis.
    Zeng Y; Cao S; Chen M
    BMC Med Genomics; 2022 Oct; 15(1):227. PubMed ID: 36316672
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Exploring the potential mechanisms of Tongmai Jiangtang capsules in treating diabetic nephropathy through multi-dimensional data.
    Liu Y; Cui X; Zhang X; Xie Z; Wang W; Xi J; Xie Y
    Front Endocrinol (Lausanne); 2023; 14():1172226. PubMed ID: 38027201
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Network pharmacology combined with Mendelian randomization analysis to identify the key targets of renin-angiotensin-aldosterone system inhibitors in the treatment of diabetic nephropathy.
    Zhou D; Zhou T; Tang S; Li Q; Li W; Gan G; Li M; Chen Q
    Front Endocrinol (Lausanne); 2024; 15():1354950. PubMed ID: 38332893
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.