蛋白质组学在结核分枝杆菌感染研究中的应用进展

doi:10.3969/j.issn.2096-8493.2020.02.017

摘要/Abstract

摘要：

中国是全球结核病高负担国家之一。耐药结核分枝杆菌的出现又增加了结核病的防控和治疗难度。基因组学、转录组学和蛋白质组学等新技术的出现,为结核病的病原研究及诊断、治疗和耐药性方面的研究提供了更加全面和完整的视角。蛋白质组学是基于色谱技术和质谱技术的关于蛋白质分离、鉴定和定量的生物组学技术。作者就蛋白质组学技术在结核病病理机制、诊断和治疗方面取得的最新进展进行综述,为该技术在结核病防治中的进一步应用提供线索和思路。

关键词: 分枝杆菌,结核, 蛋白质组学, 早期诊断, 综述文献(主题)

Abstract:

China is one of the countries with high burden of tuberculosis worldwide. The drug-resistant mycobacterium tuberculosis increases the difficulties of prevention and treatment of tuberculosis. Because of the new subjects such as genomes, transcriptomics and proteomes, researches of pathogens, diagnosis, treatment and drug resistance of tuberculosis get more comprehensive and complete. Proteome is a chromatography and mass spectrometry-based Biomics technology of the separation, identify and quantify of proteins. We reviewed the progress of proteomics on pathology, diagnosis and treatment of tuberculosis, in order to provide clues and ideas for its further application in treatment and prevention of tuberculosis.

Key words: Mycobacterium tuberculosis, Proteomics, Early diagnosis, Review literature as topic

冯峰, 汤凤珍, 姚明媚, 程璐, 杜利军. 蛋白质组学在结核分枝杆菌感染研究中的应用进展[J]. 结核与肺部疾病杂志, 2020, 1(2): 174-178. doi: 10.3969/j.issn.2096-8493.2020.02.017

FENG Feng, TANG Feng-zhen, YAO Ming-mei, CHENG Lu, DU Li-jun. Application progress of proteome in research of the Mycobacterium tuberculosis infection[J]. Journal of Tuberculosis and Lung Disease, 2020, 1(2): 174-178. doi: 10.3969/j.issn.2096-8493.2020.02.017

参考文献 31

[1]	World Health Organization. Global tuberculosis report 2019. Geneva: World Health Organization, 2019.
[2]	Klepárník K, Bocek P. Electrophoresis today and tomorrow: Helping biologists’ dreams come true. Bioessays, 2010,32(3):218-226. doi: 10.1002/bies.200900152. URL pmid: 20127703
[3]	Zhang X, Fang A, Riley CP, et al. Multi-dimensional liquid chromatography in proteomics--a review. Anal Chim Acta, 2010,664(2):101-113. doi: 10.1016/j.aca.2010.02.001. URL pmid: 20363391
[4]	Pezzatti J, Boccard J, Codesido S, et al. Implementation of liquid chromatography-high resolution mass spectrometry methods for untargeted metabolomic analyses of biological samples: A tutorial. Anal Chim Acta, 2020,1105:28-44. doi: 10.1016/j.aca.2019.12.062. URL pmid: 32138924
[5]	哈斯来提阿依·买买提, 胡昕, 齐曼古力·吾守尔. 同位素标记相对和绝对定量结合二维液相色谱-串联质谱技术在结核病诊断中的应用. 结核病与肺部健康杂志, 2018,7(3):217-220. doi: 10.3969/j.issn.2095-3755.2018.03.015.
[6]	Russell DG. Mycobacterium tuberculosis and the intimate discourse of a chronic infection. Immunol Rev, 2011,240(1):252-268. doi: 10.1111/j.1600-065X.2010.00984.x. doi: 10.1111/j.1600-065X.2010.00984.x URL pmid: 21349098
[7]	Menon D, Singh K, Pinto SM, et al. Quantitative lipid droplet proteomics reveals Mycobacterium tuberculosis induced alterations in macrophage response to infection. ACS Infect Dis, 2019,5(4):559-569. doi: 10.1021/acsinfecdis.8b00301. doi: 10.1021/acsinfecdis.8b00301 URL pmid: 30663302
[8]	Budzik JM, Swaney DL, Jimenez-Morales D, et al. Dynamic post-translational modification profiling of Mycobacterium tuberculosis-infected primary macrophages. Elife, 2020,9:e51461. doi: 10.7554/eLife.51461. doi: 10.7554/eLife.51461 URL pmid: 31951200
[9]	Broset E, Martín C, Gonzalo-Asensio J. Evolutionary landscape of the Mycobacterium tuberculosis complex from the viewpoint of PhoPR: implications for virulence regulation and application to vaccine development. mBio, 2015,6(5):e01289-15. doi: 10.1128/mBio.01289-15. URL pmid: 26489860
[10]	Gonzalo-Asensio J, Soto CY, Arbués A, et al. The Mycobacterium tuberculosis phoPR operon is positively autoregulated in the virulent strain H37Rv. J Bacteriol, 2008,190(21):7068-7078. doi: 10.1128/JB.00712-08. doi: 10.1128/JB.00712-08 URL pmid: 18757548
[11]	Zheng H, Lu L, Wang B, et al. Genetic basis of virulence attenuation revealed by comparative genomic analysis of Mycobacterium tuberculosis strain H37Ra versus H37Rv. PLoS One, 2008,3(6):e2375. doi: 10.1371/journal.pone.0002375. doi: 10.1371/journal.pone.0002375 URL pmid: 18584054
[12]	Verma R, Pinto SM, Patil AH, et al. Quantitative proteomic and phosphoproteomic analysis of H37Ra and H37Rv strains of Mycobacterium tuberculosis. J Proteome Res, 2017,16(4):1632-1645. doi: 10.1021/acs.jproteome.6b00983. URL pmid: 28241730
[13]	Peters JS, Calder B, Gonnelli G, et al. Identification of quantitative proteomic differences between Mycobacterium tuberculosis lineages with altered virulence. Front Microbiol, 2016,7:813. doi: 10.3389/fmicb.2016.00813. doi: 10.3389/fmicb.2016.00813 URL pmid: 27303394
[14]	Galagan JE, Minch K, Peterson M, et al. The Mycobacterium tuberculosis regulatory network and hypoxia. Nature, 2013,499(7457):178-183. doi: 10.1038/nature12337. doi: 10.1038/nature12337 URL pmid: 23823726
[15]	Minch KJ, Rustad TR, Peterson EJ, et al. The DNA-binding network of Mycobacterium tuberculosis. Nat Commun, 2015,6:5829. doi: 10.1038/ncomms6829. doi: 10.1038/ncomms6829 URL pmid: 25581030
[16]	Płociński P, Macios M, Houghton J, et al. Proteomic and transcriptomic experiments reveal an essential role of RNA degradosome complexes in shaping the transcriptome of Mycobacterium tuberculosis. Nucleic Acids Res, 2019,47(11):5892-5905. doi: 10.1093/nar/gkz251. doi: 10.1093/nar/gkz251 URL pmid: 30957850
[17]	Ortega C, Liao R, Anderson LN, et al. Mycobacterium tuberculosis Ser/Thr protein kinase B mediates an oxygen-dependent replication switch. PLoS Biol, 2014,12(1):e1001746. doi: 10.1371/journal.pbio.1001746. doi: 10.1371/journal.pbio.1001746 URL pmid: 24409094
[18]	Prisic S, Dankwa S, Schwartz D, et al. Extensive phosphory-lation with overlapping specificity by Mycobacterium tuberculosis serine/threonine protein kinases. Proc Natl Acad Sci U S A, 2010,107(16):7521-7526. doi: 10.1073/pnas.0913482107. doi: 10.1073/pnas.0913482107 URL pmid: 20368441
[19]	Gil M, Lima A, Rivera B, et al. New substrates and interactors of the mycobacterial Serine/Threonine protein kinase PknG identified by a tailored interactomic approach. J Proteomics, 2019,192:321-333. doi: 10.1016/j.jprot.2018.09.013. doi: 10.1016/j.jprot.2018.09.013 URL pmid: 30267874
[20]	Sharma D, Lata M, Singh R, et al. Cytosolic proteome profiling of aminoglycosides resistant Mycobacterium tuberculosis clinical isolates using MALDI-TOF/MS. Front Microbiol, 2016,7:1816. doi: 10.3389/fmicb.2016.01816. doi: 10.3389/fmicb.2016.01816 URL pmid: 27895634
[21]	Wei W, Yan H, Zhao J, et al. Multi-omics comparisons of p-aminosalicylic acid (PAS) resistance in folC mutated and un-mutated Mycobacterium tuberculosis strains. Emerg Microbes Infect, 2019,8(1):248-261. doi: 10.1080/22221751.2019.1568179. doi: 10.1080/22221751.2019.1568179 URL pmid: 30866779
[22]	de Keijzer names>J, Mulder A, de Haas PE, et al. Thioridazine alters the cell-envelope permeability of Mycobacterium tuberculosis. J Proteome Res, 2016,15(6):1776-1786. doi: 10.1021/acs.jproteome.5b01037. doi: 10.1021/acs.jproteome.5b01037 URL pmid: 27068340
[23]	潘稚芬, 袁亚芳, 张君丽, 等. 结核分枝杆菌耐多药相关蛋白筛选及诊断价值研究. 预防医学, 2018,30(12):1212-1216. doi: 10.19485/j.cnki.issn2096-5087.2018.12.006.
[24]	Trutneva KA, Shleeva MO, Demina GR, et al. One-year old dormant,“Non-culturable” Mycobacterium tuberculosis preserves significantly diverse protein profile. Front Cell Infect Microbiol, 2020,10:26. doi: 10.3389/fcimb.2020.00026. doi: 10.3389/fcimb.2020.00026 URL pmid: 32117801
[25]	Schubert OT, Ludwig C, Kogadeeva M, et al. Absolute proteome composition and dynamics during dormancy and resuscitation of Mycobacterium tuberculosis. Cell Host Microbe, 2015,18(1):96-108. doi: 10.1016/j.chom.2015.06.001. doi: 10.1016/j.chom.2015.06.001 URL pmid: 26094805
[26]	O’Garra A, Redford PS, McNab FW, et al. The immune response in tuberculosis. Annu Rev Immunol, 2013,31:475-527. doi: 10.1146/annurev-immunol-032712-095939. doi: 10.1146/annurev-immunol-032712-095939 URL
[27]	Pai M, Denkinger CM, Kik SV, et al. Gamma interferon release assays for detection of Mycobacterium tuberculosis infection. Clin Microbiol Rev, 2014,27(1):3-20. doi: 10.1128/CMR.00034-13. doi: 10.1128/CMR.00034-13 URL
[28]	Bark CM, Manceur AM, Malone LL, et al. Identification of Host Proteins Predictive of Early Stage Mycobacterium tuberculosis Infection. EBioMedicine, 2017,21:150-157. doi: 10.1016/j.ebiom.2017.06.019. doi: 10.1016/j.ebiom.2017.06.019 URL pmid: 28655597
[29]	Chen Y, Cao S, Liu Y, et al. Potential role for Rv2026c- and Rv2421c- specific antibody responses in diagnosing active tuberculosis. Clin Chim Acta, 2018,487:369-376. doi: 10.1016/j.cca.2018.09.008. doi: 10.1016/j.cca.2018.09.008 URL pmid: 30195451
[30]	Mateos J, Estévez O, González-Fernández Á, et al. Serum proteomics of active tuberculosis patients and contacts reveals unique processes activated during Mycobacterium tuberculosis infection. Sci Rep, 2020,10(1):3844. doi: 10.1038/s41598-020-60753-5. doi: 10.1038/s41598-020-60753-5 URL pmid: 32123229
[31]	Kedia K, Wendler JP, Baker ES, et al. Application of multiplexed ion mobility spectrometry towards the identification of host protein signatures of treatment effect in pulmonary tuberculosis. Tuberculosis (Edinb), 2018,112:52-61. doi: 10.1016/j.tube.2018.07.005. doi: 10.1016/j.tube.2018.07.005 URL