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Abstract

Tuberculosis (TB) is a leading cause of death from a single infectious disease worldwide. Early and accurate diagnosis is advantageous for timely detection and prompt treatment, thereby reducing the risk of disease transmission, which is essential for effective TB control. Biomarkers provide a valuable resource for TB diagnosis. Proteomic technologies have emerged as a powerful tool in biomarker discovery. In this perspective, we explore how proteomic technologies contribute to the discovery of TB diagnostic biomarkers. We also address the challenges and discuss prospective methods to augment the performance of biomarkers in diagnosing TB.

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/content/journals/cmc/10.2174/0109298673346264241008110105
2024-10-11
2024-11-26
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References

  1. Global tuberculosis report 2023. 2023 Available from: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2023
  2. Kumar Barik A. Mathew C. Sanoop P.M. John R.V. Adigal S.S. Bhat S. Pai K.M. Bhandary S.V. Devasia T. Upadhya R. Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2024 1232 123944 10.1016/j.jchromb.2023.123944 38056315
    [Google Scholar]
  3. Cole S.T. Brosch R. Parkhill J. Garnier T. Churcher C. Harris D. Gordon S.V. Eiglmeier K. Gas S. Barry C.E. Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence. Nature 1998 393 6685 537 544 10.1038/31159 9634230
    [Google Scholar]
  4. Schubert O.T. Mouritsen J. Ludwig C. Röst H.L. Rosenberger G. Arthur P.K. Claassen M. Campbell D.S. Sun Z. Farrah T. Gengenbacher M. Maiolica A. Kaufmann S.H.E. Moritz R.L. Aebersold R. The Mtb proteome library: A resource of assays to quantify the complete proteome of Mycobacterium tuberculosis. Cell Host Microbe 2013 13 5 602 612 10.1016/j.chom.2013.04.008 23684311
    [Google Scholar]
  5. Zheng J. Ren X. Wei C. Yang J. Hu Y. Liu L. Xu X. Wang J. Jin Q. Analysis of the secretome and identification of novel constituents from culture filtrate of bacillus Calmette-Guerin using high-resolution mass spectrometry. Mol. Cell. Proteomics 2013 12 8 2081 2095 10.1074/mcp.M113.027318 23616670
    [Google Scholar]
  6. Panda S. Morgan J. Cheng C. Saito M. Gilman R.H. Ciobanu N. Crudu V. Catanzaro D.G. Catanzaro A. Rodwell T. Perera J.S.B. Chathuranga T. Gunasena B. DeSilva A.D. Peters B. Sette A. Lindestam Arlehamn C.S. Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection. Nat. Commun. 2024 15 1 765 10.1038/s41467‑024‑45058‑9 38278794
    [Google Scholar]
  7. Li H. Liu L. Zhang W. Zhang X. Zheng J. Li L. Zhu X. Yang Q. Zhang M. Liu H. Chen X. Jin Q. Analysis of the antigenic properties of membrane proteins of Mycobacterium tuberculosis. Sci. Rep. 2019 9 1 3042 10.1038/s41598‑019‑39402‑z 30816178
    [Google Scholar]
  8. Biadglegne F. Schmidt J.R. Engel K.M. Lehmann J. Lehmann R.T. Reinert A. König B. Schiller J. Kalkhof S. Sack U. Mycobacterium tuberculosis affects protein and lipid content of circulating exosomes in infected patients depending on tuberculosis disease state. Biomedicines 2022 10 4 783 10.3390/biomedicines10040783 35453532
    [Google Scholar]
  9. Schirmer S. Rauh L. Alebouyeh S. Delgado-Velandia M. Salgueiro V.C. Lerma L. Serrano-Mestre J.L. Azkargorta M. Elortza F. Lavín J.L. García M.J. Tórtola Fernández M.T. Gola S. Prados-Rosales R. Immunogenicity of mycobacterial extracellular vesicles isolated from host-related conditions informs about tuberculosis disease status. Front. Microbiol. 2022 13 907296 10.3389/fmicb.2022.907296 35814710
    [Google Scholar]
  10. Rodrigues C. Singhal T. What is new in the diagnosis of childhood tuberculosis? Indian J. Pediatr. 2024 91 7 717 723 10.1007/s12098‑023‑04992‑0 38163830
    [Google Scholar]
  11. Kaushik A. Bandyopadhyay S. Porwal C. Srinivasan A. Rukmangadachar L.A. Hariprasad G. Kola S. Kataria J. Singh U.B. 2D-DIGE based urinary proteomics and functional enrichment studies to reveal novel Mycobacterium tuberculosis and human protein biomarker candidates for pulmonary tuberculosis. Biochem. Biophys. Res. Commun. 2022 619 15 21 10.1016/j.bbrc.2022.06.021 35728279
    [Google Scholar]
  12. Agranoff D. Fernandez-Reyes D. Papadopoulos M.C. Rojas S.A. Herbster M. Loosemore A. Tarelli E. Sheldon J. Schwenk A. Pollok R. Rayner C.F.J. Krishna S. Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum. Lancet 2006 368 9540 1012 1021 10.1016/S0140‑6736(06)69342‑2 16980117
    [Google Scholar]
  13. Sun H. Pan L. Jia H. Zhang Z. Gao M. Huang M. Wang J. Sun Q. Wei R. Du B. Xing A. Zhang Z. Label-free quantitative proteomics identifies novel plasma biomarkers for distinguishing pulmonary tuberculosis and latent infection. Front. Microbiol. 2018 9 1267 10.3389/fmicb.2018.01267 29951049
    [Google Scholar]
  14. Li X. Gao Y. Liu J. Xujian Q. Luo Q. Huang Z. Li J. Validation of serotransferrin in the serum as candidate biomarkers for the diagnosis of pulmonary tuberculosis by label-free LC/MS. ACS Omega 2022 7 28 24174 24183 10.1021/acsomega.2c00837 35874208
    [Google Scholar]
  15. Koeppel L. Denkinger C.M. Wyss R. Broger T. Chegou N.N. Dunty J.M. Scott K. Cáceres T. Dutoit E. Ugarte-Gil C. Nicol M. Gotuzzo E. Corstjens P.L.A.M. Geluk A. Sutherland J. Sigal G.B. Moreau E. Albertini A. Mantsoki A. Ongarello S. Walzl G. Fernandez Suarez M. Diagnostic performance of host protein signatures as a triage test for active pulmonary TB. J. Clin. Microbiol. 2023 61 10 e00264-23 10.1128/jcm.00264‑23 37724874
    [Google Scholar]
  16. Liu L. Deng J. Yang Q. Wei C. Liu B. Zhang H. Xin H. Pan S. Liu Z. Wang D. Pang Y. Chen X. Gao L. Zheng J. Liu R. Jin Q. Urinary proteomic analysis to identify a potential protein biomarker panel for the diagnosis of tuberculosis. IUBMB Life 2021 73 8 1073 1083 10.1002/iub.2509 34048129
    [Google Scholar]
  17. Wang J. Zhu X. Xiong X. Ge P. Liu H. Ren N. Khan F.A. Zhou X. Zhang L. Yuan X. Chen X. Chen Y. Hu C. Robertson I.D. Chen H. Guo A. Identification of potential urine proteins and microRNA biomarkers for the diagnosis of pulmonary tuberculosis patients. Emerg. Microbes Infect. 2018 7 1 1 13 10.1038/s41426‑018‑0066‑5 29636444
    [Google Scholar]
  18. HaileMariam M. Yu Y. Singh H. Teklu T. Wondale B. Worku A. Zewude A. Mounaud S. Tsitrin T. Legesse M. Protein and microbial biomarkers in sputum discern acute and latent tuberculosis in investigation of pastoral Ethiopian cohort. Front. Cell. Infect. Microbiol. 2021 11 595554 10.3389/fcimb.2021.595554
    [Google Scholar]
  19. Mutavhatsindi H. Calder B. McAnda S. Malherbe S.T. Stanley K. Kidd M. Walzl G. Chegou N.N. Identification of novel salivary candidate protein biomarkers for tuberculosis diagnosis: A preliminary biomarker discovery study. Tuberculosis (Edinb.) 2021 130 102118 10.1016/j.tube.2021.102118 34371310
    [Google Scholar]
  20. Adewole O.O. Erhabor G.E. Adewole T.O. Ojo A.O. Oshokoya H. Wolfe L.M. Prenni J.E. Proteomic profiling of eccrine sweat reveals its potential as a diagnostic biofluid for active tuberculosis. Proteomics Clin. Appl. 2016 10 5 547 553 10.1002/prca.201500071 26948146
    [Google Scholar]
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