BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 36579331)

  • 1. Identifying the molecular mechanisms of sepsis-associated acute kidney injury and predicting potential drugs.
    Guo G; Wang Y; Kou W; Gan H
    Front Genet; 2022; 13():1062293. PubMed ID: 36579331
    [No Abstract]   [Full Text] [Related]  

  • 2. Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury.
    Tang Y; Yang X; Shu H; Yu Y; Pan S; Xu J; Shang Y
    Hereditas; 2021 Apr; 158(1):13. PubMed ID: 33863396
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification and validation of the diagnostic signature associated with immune microenvironment of acute kidney injury based on ferroptosis-related genes through integrated bioinformatics analysis and machine learning.
    Chen Y; Liu A; Liu H; Cai G; Lu N; Chen J
    Front Cell Dev Biol; 2023; 11():1210714. PubMed ID: 37576602
    [No Abstract]   [Full Text] [Related]  

  • 4. Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury.
    Liu B; Ao S; Tan F; Ma W; Liu H; Liang H; Yang X; Chi X
    Ann Transl Med; 2022 Jul; 10(13):737. PubMed ID: 35957725
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AFM negatively regulates the infiltration of monocytes to mediate sepsis-associated acute kidney injury.
    Guo C; Fan Y; Cheng J; Deng Y; Zhang X; Chen Y; Jing H; Li W; Liu P; Xie J; Ning W; Chen H; Zhou J
    Front Immunol; 2023; 14():1049536. PubMed ID: 36793712
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of RRM2 as a key ferroptosis-related gene in sepsis.
    He S; He Y; Deng L; Guo Y; Wang X; Wang Q; Luo L; Liu Q
    Inflamm Res; 2024 Mar; 73(3):459-473. PubMed ID: 38286859
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification and validation of ferroptosis-related gene SLC2A1 as a novel prognostic biomarker in AKI.
    Wang H; Li Y; Liu X; Wu Y
    Aging (Albany NY); 2024 Mar; 16(6):5634-5650. PubMed ID: 38517368
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Maresin conjugates in tissue regeneration-1 suppresses ferroptosis in septic acute kidney injury.
    Xiao J; Yang Q; Zhang Y; Xu H; Ye Y; Li L; Yang Y; Jin S
    Cell Biosci; 2021 Dec; 11(1):221. PubMed ID: 34961563
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Data driven analysis reveals prognostic genes and immunological targets in human sepsis-associated acute kidney injury.
    Zhao Q; Ma J; Xiao J; Feng Z; Liu H
    World J Emerg Med; 2024; 15(2):91-97. PubMed ID: 38476535
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A regulatory miRNA-mRNA network is associated with transplantation response in acute kidney injury.
    Guo D; Fan Y; Yue JR; Lin T
    Hum Genomics; 2021 Dec; 15(1):69. PubMed ID: 34886903
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of RPS7 as the Biomarker of Ferroptosis in Acute Kidney Injury.
    Zhang H; Liu X; Zhou L; Deng Z; Wang Y
    Biomed Res Int; 2022; 2022():3667339. PubMed ID: 36277893
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Contribution of prognostic ferroptosis-related subtypes classification and hub genes of sepsis.
    Ding N; Xu X; Wang Y; Li H; Cao Y; Zheng L
    Transpl Immunol; 2022 Oct; 74():101660. PubMed ID: 35787932
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Discovery and validation of Ferroptosis-related molecular patterns and immune characteristics in Alzheimer's disease.
    He YJ; Cong L; Liang SL; Ma X; Tian JN; Li H; Wu Y
    Front Aging Neurosci; 2022; 14():1056312. PubMed ID: 36506471
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive analysis of fifteen hub genes to identify a promising diagnostic model, regulated networks, and immune cell infiltration in acute kidney injury.
    Sun T; Cao Y; Huang T; Sang Y; Dai Y; Tao Z
    J Clin Lab Anal; 2022 Nov; 36(11):e24709. PubMed ID: 36125921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of AKI signatures and classification patterns in ccRCC based on machine learning.
    Wang L; Peng F; Li ZH; Deng YF; Ruan MN; Mao ZG; Li L
    Front Med (Lausanne); 2023; 10():1195678. PubMed ID: 37293297
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Correlation between Ferroptosis and m6A Methylation in Patients with Acute Kidney Injury.
    Ni L; Bai R; Zhou Q; Yuan C; Zhou LT; Wu X
    Kidney Blood Press Res; 2022; 47(8):523-533. PubMed ID: 35569444
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis.
    Gong CW; Yuan MM; Qiu BQ; Wang LJ; Zou HX; Hu T; Lai SQ; Liu JC
    Front Genet; 2022; 13():827559. PubMed ID: 35495160
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach.
    Yang S; Guo J; Xiong Y; Han G; Luo T; Peng S; Liu J; Hu T; Zha Y; Lin X; Tan Y; Zhang J
    Int Immunopharmacol; 2024 Jun; 137():112420. PubMed ID: 38851159
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of a ferroptosis-related gene pair biomarker with immune infiltration landscapes in ischemic stroke: a bioinformatics-based comprehensive study.
    Fan J; Chen M; Cao S; Yao Q; Zhang X; Du S; Qu H; Cheng Y; Ma S; Zhang M; Huang Y; Zhang N; Shi K; Zhan S
    BMC Genomics; 2022 Jan; 23(1):59. PubMed ID: 35033021
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The regulation of LPCAT3 by miR-124-3p.1 in acute kidney injury suppresses cell proliferation by disrupting phospholipid metabolism.
    Zhang H; Wu H; Qian J; Sun L; Sang L; Wang P; Yuan B; Zhang J
    Biochem Biophys Res Commun; 2022 May; 604():37-42. PubMed ID: 35286868
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.