Biomarker discovery for tuberculosis using metabolomics

被引:13
|
作者
Yu, Yi [1 ]
Jiang, Xin-Xin [2 ]
Li, Ji-Cheng [2 ,3 ]
机构
[1] Zhejiang Univ Technol, Coll Chem Engn, Ctr Anal & Measurements, Hangzhou, Peoples R China
[2] Shaoxing Seventh Peoples Hosp, Clin Res Lab, Shaoxing, Peoples R China
[3] Zhejiang Univ, Inst Cell Biol, Med Sch, Hangzhou, Peoples R China
关键词
tuberculosis; Mycobacterium tuberculosis; metabolomics; biomarker; drug resistant tuberculosis; pulmonary tuberculosis; PULMONARY TUBERCULOSIS; IDENTIFICATION; MENINGITIS; MECHANISM; MARKERS; CLASSIFICATION; HEPATOTOXICITY; INSIGHTS; DRUGS;
D O I
10.3389/fmolb.2023.1099654
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Tuberculosis (TB) is the leading cause of death among infectious diseases, and the ratio of cases in which its pathogen Mycobacterium tuberculosis (Mtb) is drug resistant has been increasing worldwide, whereas latent tuberculosis infection (LTBI) may develop into active TB. Thus it is important to understand the mechanism of drug resistance, find new drugs, and find biomarkers for TB diagnosis. The rapid progress of metabolomics has enabled quantitative metabolite profiling of both the host and the pathogen. In this context, we provide recent progress in the application of metabolomics toward biomarker discovery for tuberculosis. In particular, we first focus on biomarkers based on blood or other body fluids for diagnosing active TB, identifying LTBI and predicting the risk of developing active TB, as well as monitoring the effectiveness of anti-TB drugs. Then we discuss the pathogen-based biomarker research for identifying drug resistant TB. While there have been many reports of potential candidate biomarkers, validations and clinical testing as well as improved bioinformatics analysis are needed to further substantiate and select key biomarkers before they can be made clinically applicable.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Metabolomics as a Tool for Biomarker Discovery in Gastric Cancer
    Drew, David A.
    Klempner, Samuel J.
    Chan, Andrew T.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2021, 30 (09) : 1601 - 1603
  • [22] Global proteomics and metabolomics in cancer biomarker discovery
    Issaq, Haleem J.
    Fox, Stephen D.
    Chan, King C.
    Veenstra, Timothy D.
    JOURNAL OF SEPARATION SCIENCE, 2011, 34 (24) : 3484 - 3492
  • [23] Rate normalization for sweat metabolomics biomarker discovery
    Harshman, Sean W.
    Strayer, Kraig E.
    Davidson, Christina N.
    Pitsch, Rhonda L.
    Narayanan, Latha
    Scott, Alexander M.
    Schaeublin, Nicole M.
    Wiens, Taylor L.
    Phelps, Mandy S.
    O'Connor, Maegan L.
    Mackowski, Nicholas S.
    Barrett, Kristyn N.
    Leyh, Samantha M.
    Eckerle, Jason J.
    Strang, Adam J.
    Martin, Jennifer A.
    Harshman, Sean W. (sharshman@ues.com), 1600, Elsevier B.V. (223):
  • [24] Metabolomics As A Diagnostic Tool For Biomarker Discovery In Sepsis
    Morales, L.
    Naz, S.
    Rojas, Y.
    Ferruelo, A.
    Molina, D.
    Martinez Caro, L.
    Nin, N.
    Garcia, A.
    Barbas, C.
    Izquierdo-Garcia, J.
    Ruiz-Cabello, J.
    Artigas, A.
    Lorente, J.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2017, 195
  • [25] Biomarker Discovery in Atherosclerotic Diseases Using Quantitative Nuclear Magnetic Resonance Metabolomics
    Ma, Shuai
    Xia, Mingfeng
    Gao, Xin
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2021, 8
  • [26] Urine metabolomics for kidney cancer detection and biomarker discovery
    Ganti, Sheila
    Weiss, Robert H.
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2011, 29 (05) : 551 - 557
  • [27] Metabolomics analysis for diagnosis and biomarker discovery of transthyretin amyloidosis
    Olsson, Malin
    Hellman, Urban
    Wixner, Jonas
    Anan, Intissar
    AMYLOID-JOURNAL OF PROTEIN FOLDING DISORDERS, 2021, 28 (04): : 234 - 242
  • [28] Translational biomarker discovery in clinical metabolomics: an introductory tutorial
    Jianguo Xia
    David I. Broadhurst
    Michael Wilson
    David S. Wishart
    Metabolomics, 2013, 9 : 280 - 299
  • [29] Functional metabolomics: from biomarker discovery to metabolome reprogramming
    Bo Peng
    Hui Li
    XuanXian Peng
    Protein & Cell, 2015, 6 (09) : 628 - 637
  • [30] Metabolomics in biomarker discovery: future uses for cancer prevention
    Kim, Young S.
    Maruvada, Padma
    Milner, John A.
    FUTURE ONCOLOGY, 2008, 4 (01) : 93 - 102