BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 37346367)

  • 1. Novel Biomarker Panel of Let-7d-5p and MiR-140-5p Can Distinguish Latent Tuberculosis Infection from Active Tuberculosis Patients.
    Liu J; Li Y; Liu T; Shi Y; Wang Y; Wu J; Qi Y
    Infect Drug Resist; 2023; 16():3847-3859. PubMed ID: 37346367
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Association between Circulating microRNAs and the Risk of Active Disease Development from Latent Tuberculosis Infection: a Nested Case-Control Study.
    Xin H; Cao X; Du Y; Yan J; He R; Liu Z; Zhang H; He Y; Zhang B; Wang D; Guan L; Shen F; Feng B; Quan Z; He Y; Liu J; Jin Q; Pan S; Gao L
    Microbiol Spectr; 2022 Jun; 10(3):e0262521. PubMed ID: 35435753
    [TBL] [Abstract][Full Text] [Related]  

  • 3. microRNA hsa-miR-425-5p and hsa-miR-4523 expressions as biomarkers of active pulmonary tuberculosis, latent tuberculosis infection, and lymph node tuberculosis.
    Massi MN; Hidayah N; Handayani I; Iskandar IW; Djannah F; Angria N; Halik H
    Noncoding RNA Res; 2023 Dec; 8(4):527-533. PubMed ID: 37555010
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Small RNA Profiles of Serum Exosomes Derived From Individuals With Latent and Active Tuberculosis.
    Lyu L; Zhang X; Li C; Yang T; Wang J; Pan L; Jia H; Li Z; Sun Q; Yue L; Chen F; Zhang Z
    Front Microbiol; 2019; 10():1174. PubMed ID: 31191492
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel serological biomarker panel using protein microarray can distinguish active TB from latent TB infection.
    Li J; Wang Y; Yan L; Zhang C; He Y; Zou J; Zhou Y; Zhong C; Zhang X
    Microbes Infect; 2022; 24(8):105002. PubMed ID: 35598729
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reprogramming of Small Noncoding RNA Populations in Peripheral Blood Reveals Host Biomarkers for Latent and Active Mycobacterium tuberculosis Infection.
    de Araujo LS; Ribeiro-Alves M; Leal-Calvo T; Leung J; DurĂ¡n V; Samir M; Talbot S; Tallam A; Mello FCQ; Geffers R; Saad MHF; Pessler F
    mBio; 2019 Dec; 10(6):. PubMed ID: 31796535
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combination of Blood Routine Examination and T-SPOT.TB Assay for Distinguishing Between Active Tuberculosis and Latent Tuberculosis Infection.
    Luo Y; Tang G; Yuan X; Lin Q; Mao L; Song H; Xue Y; Wu S; Ouyang R; Hou H; Wang F; Sun Z
    Front Cell Infect Microbiol; 2021; 11():575650. PubMed ID: 34277462
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of latent tuberculosis infection-related microRNAs in human U937 macrophages expressing Mycobacterium tuberculosis Hsp16.3.
    Meng QL; Liu F; Yang XY; Liu XM; Zhang X; Zhang C; Zhang ZD
    BMC Microbiol; 2014 Feb; 14():37. PubMed ID: 24521422
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combination of HLA-DR on
    Luo Y; Xue Y; Tang G; Lin Q; Song H; Liu W; Yin B; Huang J; Wei W; Mao L; Wang F; Sun Z
    Front Immunol; 2021; 12():761209. PubMed ID: 34858413
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Heme oxygenase-1 and neopterin plasma/serum levels and their role in diagnosing active and latent TB among HIV/TB co-infected patients: a cross sectional study.
    Uwimaana E; Bagaya BS; Castelnuovo B; Kateete DP; Godwin A; Kiwanuka N; Whalen CC; Joloba ML
    BMC Infect Dis; 2021 Jul; 21(1):711. PubMed ID: 34315412
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Activation Phenotype of
    Luo Y; Xue Y; Mao L; Lin Q; Tang G; Song H; Liu W; Tong S; Hou H; Huang M; Ouyang R; Wang F; Sun Z
    Front Immunol; 2021; 12():721013. PubMed ID: 34512645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnostic Potential of the Serological Response to Synthetic Peptides from
    Araujo Z; de Waard JH; Camargo M; Lopez-Ramos JE; de Larrea CF; Vanegas M; Patarroyo MA
    Int J Pept Res Ther; 2022; 28(3):98. PubMed ID: 35528735
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis.
    Ma S; Peng P; Duan Z; Fan Y; Li X
    J Immunol Res; 2023; 2023():7829286. PubMed ID: 37228444
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated bioinformatics analysis and validation revealed potential immune-regulatory miR-892b, miR-199b-5p and miR-582-5p as diagnostic biomarkers in active tuberculosis.
    Zhang Y; Zhang X; Zhao Z; Zheng Y; Xiao Z; Li F
    Microb Pathog; 2019 Sep; 134():103563. PubMed ID: 31175974
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Long non-coding RNA SNHG16 silencing inhibits proliferation and inflammation in Mycobacterium tuberculosis-infected macrophages by targeting miR-140-5p expression.
    Sun W; Zhang X; He X; Zhang J; Wang X; Lin W; Wang X; Wu X
    Infect Genet Evol; 2022 Sep; 103():105325. PubMed ID: 35779785
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnostic performance of plasma cytokine biosignature combination and MCP-1 as individual biomarkers for differentiating stages Mycobacterium tuberculosis infection.
    Luo J; Zhang M; Yan B; Li F; Guan S; Chang K; Jiang W; Xu H; Yuan T; Chen M; Deng S
    J Infect; 2019 Apr; 78(4):281-291. PubMed ID: 30528869
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Relationship between DNA Methylation Profiles and Active Tuberculosis Development from Latent Infection: a Pilot Study in Nested Case-Control Design.
    Du Y; Gao X; Yan J; Zhang H; Cao X; Feng B; He Y; He Y; Guo T; Xin H; Gao L
    Microbiol Spectr; 2022 Jun; 10(3):e0058622. PubMed ID: 35446152
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Untargeted Metabolomics of Feces Reveals Diagnostic and Prognostic Biomarkers for Active Tuberculosis and Latent Tuberculosis Infection: Potential Application for Precise and Non-Invasive Identification.
    Luo D; Yang BY; Qin K; Shi CY; Wei NS; Li H; Qin YX; Liu G; Qin XL; Chen SY; Guo XJ; Gan L; Xu RL; Dong BQ; Li J
    Infect Drug Resist; 2023; 16():6121-6138. PubMed ID: 37719654
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The meta-analysis for ideal cytokines to distinguish the latent and active TB infection.
    Wei Z; Li Y; Wei C; Li Y; Xu H; Wu Y; Jia Y; Guo R; Jia J; Qi X; Li Z; Gao X
    BMC Pulm Med; 2020 Sep; 20(1):248. PubMed ID: 32948170
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection.
    Luo Y; Xue Y; Liu W; Song H; Huang Y; Tang G; Wang F; Wang Q; Cai Y; Sun Z
    BMC Infect Dis; 2022 Dec; 22(1):965. PubMed ID: 36581808
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.