中国防痨杂志 ›› 2018, Vol. 40 ›› Issue (11): 1226-1230.doi: 10.3969/j.issn.1000-6621.2018.11.015
收稿日期:
2018-08-06
出版日期:
2018-11-10
发布日期:
2018-12-04
通信作者:
李华
E-mail:lih@fimmu.com
WEI Jin-tao,LI Hua(),QIU En-ming.
Received:
2018-08-06
Online:
2018-11-10
Published:
2018-12-04
Contact:
Hua LI
E-mail:lih@fimmu.com
摘要:
WHO提出2035年要在全球终止结核病流行。要达到这一目标,对结核分枝杆菌耐药性产生机制、新型结核诊断标志物寻找、新型抗结核药物开发等方面的研究必需要有新突破。代谢组学是一种研究机体内源性代 谢改变的新兴组学技术。相比于其他组学研究面临的基因复杂性、转录后修饰等问题,代谢组学能够直接全面反映机体内源性代谢信息改变,并通过多元统计分析获得生物体特征代谢标记,为疾病的预防、诊断、治疗、预后等提供指导。目前,代谢组学已被广泛应用于结核病研究,在结核病原学、结核病诊断与治疗等方面都取得了诸多成果。笔者对近年来代谢组学在结核病研究中的进展进行综述。
韦金涛,李华,邱恩明. 结核病的代谢组学研究进展[J]. 中国防痨杂志, 2018, 40(11): 1226-1230. doi: 10.3969/j.issn.1000-6621.2018.11.015
WEI Jin-tao,LI Hua,QIU En-ming.. Progress in metabolomics research on tuberculosis[J]. Chinese Journal of Antituberculosis, 2018, 40(11): 1226-1230. doi: 10.3969/j.issn.1000-6621.2018.11.015
[1] | World Health Organization . Global tuberculosis report 2018. Geneva: World Health Organization, 2018. |
[2] |
孙琳, 申阿东 . 代谢组学在结核病诊疗和病原学研究中的应用. 中国防痨杂志, 2016,38(3):175-179.
doi: 10.3969/j.issn.1000-6621.2016.03.004 |
[3] |
Houben RM, Dodd PJ . The global burden of latent tuberculosis infection: a re-estimation using mathematical modelling. PLoS Med, 2016,13(10):e1002152.
doi: 10.1371/journal.pmed.1002152 URL pmid: 5079585 |
[4] |
Martin SJ, Sabina EP . Malnutrition and associated disorders in tuberculosis and its therapy. J Diet Suppl, 2018: 1-9. [Epub ahead of print].
doi: 10.1080/19390211.2018.1472165 URL |
[5] |
Parida SK, Kaufmann SH . The quest for biomarkers in tuberculosis. Drug Discov Today, 2010,15(3-4):148-157.
doi: 10.1016/j.drudis.2009.10.005 URL pmid: 19854295 |
[6] |
Patti GJ, Yanes O, Siuzdak G . Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol, 2012,13(4):263-269.
doi: 10.1038/nrm3314 URL pmid: 22436749 |
[7] | 徐超, 任立红 . 代谢组学在白血病中的应用. 医学综述, 2018,24(7):1294-1298. |
[8] | 杨帆, 谢树红, 黄惠娟 . 卵巢癌在代谢组学中的研究进展. 东南国防医药, 2018,20(2):160-163. |
[9] | 王晓东, 何秉淑, 何慧欣 , 等. 代谢组学方法在糖尿病肾病研究中的应用. 中央民族大学学报(自然科学版), 2017,26(3):58-64. |
[10] | 王双双, 曾范利, 李东 , 等. 结核分枝杆菌毒力相关因子的研究进展. 中国兽医科学, 2018,48(6):750-755. |
[11] | Berney M, Berney-Meyer L . Mycobacterium tuberculosis in the Face of Host-Imposed Nutrient Limitation. Microbiol Spectr, 2017,5(3). |
[12] |
Puckett S, Trujillo C, Wang Z , et al. Glyoxylate detoxification is an essential function of malate synthase required for carbon assimilation in Mycobacterium tuberculosis. Proc Natl Acad Sci U S A, 2017,114(11):E2225-2232.
doi: 10.1073/pnas.1617655114 URL pmid: 28265055 |
[13] |
Ganapathy U, Marrero J, Calhoun S , et al. Two enzymes with redundant fructose bisphosphatase activity sustain gluconeogenesis and virulence in Mycobacterium tuberculosis. Nat Commun, 2015,6:7912.
doi: 10.1038/ncomms8912 URL pmid: 26258286 |
[14] |
Zimmermann M, Kogadeeva M, Gengenbacher M , et al. Integration of Metabolomics and Transcriptomics Reveals a Complex Diet of Mycobacterium tuberculosis during Early Macrophage Infection. mSystems, 2017,2(4):e00057-17.
doi: 10.1128/mSystems.00057-17 URL pmid: 5566787 |
[15] |
孙铭艳, 伊正君, 付玉荣 . 结核病与铁代谢关系的研究进展. 中华结核和呼吸杂志, 2014,37(10):780-781.
doi: 10.3760/cma.j.issn.1001-0939.2014.10.020 URL |
[16] |
Kurthkoti K, Amin H, Marakalala MJ , et al. The Capacity of Mycobacterium tuberculosis To Survive Iron Starvation Might Enable It To Persist in Iron-Deprived Microenvironments of Human Granulomas. MBio, 2017,8(4):e01092-17.
doi: 10.1128/mBio.01092-17 URL pmid: 5559634 |
[17] |
李香社, 祝玉芬 . 我国结核分枝杆菌耐药现状及研究进展. 临床误诊误治, 2017,30(7):114-116.
doi: 10.3969/j.issn.1002-3429.2017.07.035 URL |
[18] |
Nandakumar M, Nathan C, Rhee KY . Isocitrate lyase media-tes broad antibiotic tolerance in Mycobacterium tuberculosis. Nat Commun, 2014,5:4306.
doi: 10.1038/ncomms5306 URL pmid: 24978671 |
[19] |
Larrouy-Maumus G, Marino LB, Madduri AV , et al. Cell-Envelope Remodeling as a Determinant of Phenotypic Antibacterial Tolerance in Mycobacterium tuberculosis. ACS Infect Dis, 2016,2(5):352-360.
doi: 10.1021/acsinfecdis.5b00148 URL pmid: 27231718 |
[20] |
Loots DT . New insights into the survival mechanisms of rifampicin-resistant Mycobacterium tuberculosis. J Antimicrob Chemother, 2016,71(3):655-660.
doi: 10.1093/jac/dkv406 URL pmid: 26679254 |
[21] |
Loots DT . An altered Mycobacterium tuberculosis metabolome induced by katG mutations resulting in isoniazid resistance. Antimicrob Agents Chemother, 2014,58(4):2144-2149.
doi: 10.1128/AAC.02344-13 URL pmid: 24468786 |
[22] | 罗少军 . PPD试验在结核病诊断中的重要性及临床意义分析. 世界最新医学信息文摘, 2017,17(100):41. |
[23] | 唐方能, 杨仁国, 耿晓霞 , 等. γ-干扰素释放试验诊断活动性结核病分析. 寄生虫病与感染性疾病, 2017,15(1):42-46. |
[24] | 胡彦, 陈娟娟, 王小中 . 结核分枝杆菌实验室诊断方法及评价. 实验与检验医学, 2016,34(2):177-179, 182. |
[25] |
刘欣欣, 张曼林, 汤兵祥 . T-SPOT. TB与传统结核诊断方法对比研究. 河南医学研究, 2017,26(4):602-603.
doi: 10.3969/j.issn.1004-437X.2017.04.010 URL |
[26] |
Isa F, Collins S, Lee MH , et al. Mass Spectrometric Identification of Urinary Biomarkers of Pulmonary Tuberculosis. E Bio Medicine, 2018,31:157-165.
doi: 10.1016/j.ebiom.2018.04.014 URL |
[27] |
Luier L, Loots DT . Tuberculosis metabolomics reveals adaptations of man and microbe in order to outcompete and survive. Metabolomics, 2016,12(3):1-9.
doi: 10.1007/s11306-015-0887-3 URL |
[28] |
Feng S, Du YQ, Zhang L , et al. Analysis of serum metabolic profile by ultra-performance liquid chromatography-mass spectrometry for biomarkers discovery: application in a pilot study to discriminate patients with tuberculosis. Chin Med J (Engl), 2015,128(2):159-168.
doi: 10.4103/0366-6999.149188 URL pmid: 25591556 |
[29] |
Sun L, Li JQ, Ren N , et al. Utility of Novel Plasma Metabolic Markers in the Diagnosis of Pediatric Tuberculosis: A Classification and Regression Tree Analysis Approach. J Proteome Res, 2016,15(9):3118-3125.
doi: 10.1021/acs.jproteome.6b00228 URL pmid: 27451809 |
[30] |
Kuntzel A, Oertel P, Fischer S , et al. Comparative analysis of volatile organic compounds for the classification and identification of mycobacterial species. PLoS One, 2018,13(3):e194348.
doi: 10.1371/journal.pone.0194348 URL pmid: 29558492 |
[31] |
Wang C, Peng J, Kuang Y , et al. Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion . Mol Med Rep, 2017,16(2):1147-1156.
doi: 10.3892/mmr.2017.6758 URL pmid: 28627685 |
[32] |
Che N, Ma Y, Ruan H , et al. Integrated semi-targeted metabolomics analysis reveals distinct metabolic dysregulation in pleural effusion caused by tuberculosis and malignancy. Clin Chim Acta, 2018,477:81-88.
doi: 10.1016/j.cca.2017.12.003 URL pmid: 29208371 |
[33] |
Li Z, Du B, Li J , et al. Cerebrospinal fluid metabolomic profiling in tuberculous and viral meningitis: Screening potential markers for differential diagnosis. Clin Chim Acta, 2017,466:38-45.
doi: 10.1016/j.cca.2017.01.002 URL pmid: 28063937 |
[34] |
Mason S, Reinecke CJ, Solomons R . Cerebrospinal Fluid Amino Acid Profiling of Pediatric Cases with Tuberculous Meningitis. Front Neurosci, 2017,11:534.
doi: 10.3389/fnins.2017.00534 URL pmid: 5623012 |
[35] |
Rawat A, Chaturvedi S, Singh AK , et al. Metabolomics approach discriminates toxicity index of pyrazinamide and its metabolic products, pyrazinoic acid and 5-hydroxy pyrazinoic acid. Hum Exp Toxicol, 2017,37(4):373-389.
doi: 10.1177/0960327117705426 URL pmid: 28425350 |
[36] |
Cao J, Mi Y, Shi C , et al. First-line anti-tuberculosis drugs induce hepatotoxicity: A novel mechanism based on a urinary metabolomics platform. Biochemical Biophys Res Commun, 2018,497(2):485-491.
doi: 10.1016/j.bbrc.2018.02.030 URL |
[37] | 曹俊 . 运用尿液代谢组学对抗结核药物肝毒性机制的研究. 苏州:苏州大学, 2017. |
[38] |
Ruan LY, Fan JT, Hong W , et al. Isoniazid-induced hepatotoxicity and neurotoxicity in rats investigated by 1H NMR based metabolomics approach . Toxicol Lett, 2018,295:256-269.
doi: 10.1016/j.toxlet.2018.05.032 URL |
[39] |
Li F, Wang P, Liu K , et al. A High Dose of Isoniazid Disturbs Endobiotic Homeostasis in Mouse Liver. Drug Metab Dispos, 2016,44(11):1742-1751.
doi: 10.1124/dmd.116.070920 URL pmid: 27531952 |
[40] |
Awasthi D, Freundlich JS . Antimycobacterial Metabolism: Illuminating Mycobacterium tuberculosis Biology and Drug Discovery. Trends Microbiol, 2017,25(9):756-767.
doi: 10.1016/j.tim.2017.05.007 URL pmid: 28622844 |
[41] |
Song L, Gao D, Li S , et al. Simultaneous quantitation of hydrazine and acetylhydrazine in human plasma by high performance liquid chromatography-tandem mass spectrometry after derivatization with p-tolualdehyde. J Chromatogr B Analyt Technol Biomed Life Sci, 2017,1063:189-195.
doi: 10.1016/j.jchromb.2017.08.036 URL pmid: 28881295 |
[42] |
Koen N, van Breda SV, Loots DT . Metabolomics of colistin methanesulfonate treated Mycobacterium tuberculosis. Tuberculosis (Edinb), 2018,111:154-160.
doi: 10.1016/j.tube.2018.06.008 URL |
[43] |
Koen N, van Breda SV, Loots DT . Elucidating the antimicrobial mechanisms of colistin sulfate on Mycobacterium tuberculosis using metabolomics. Tuberculosis (Edinb), 2018,111:14-19.
doi: 10.1016/j.tube.2018.05.001 URL pmid: 30029899 |
[44] |
Baptista R, Fazakerley DM, Beckmann M , et al. Untargeted metabolomics reveals a new mode of action of pretomanid (PA-824). Sci Rep, 2018,8(1):5084.
doi: 10.1038/s41598-018-23110-1 URL pmid: 29572459 |
[45] |
Marshall DD, Halouska S, Zinniel DK , et al. Assessment of Metabolic Changes in Mycobacterium smegmatis Wild-Type and alr Mutant Strains: Evidence of a New Pathway of d-Alanine Biosynthesis. J Proteome Res, 2017,16(3):1270-1279.
doi: 10.1021/acs.jproteome.6b00871 URL |
[46] |
Prosser GA, Rodenburg A, Khoury H , et al. Glutamate Racemase Is the Primary Target of beta-Chloro-d-Alanine in Mycobacterium tuberculosis. Antimicrob Agents Chemother, 2016,60(10):6091-6099.
doi: 10.1128/AAC.01249-16 URL |
[47] |
Zampieri M, Szappanos B, Buchieri MV , et al. High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds. Sci Transl Med, 2018, 10(429): pii: eaal3973.
doi: 10.1126/scitranslmed.aal3973 URL |
[48] |
Das MK, Bishwal SC, Das A , et al. Deregulated tyrosine-phenylalanine metabolism in pulmonary tuberculosis patients. J Proteome Res, 2015,14(4):1947-1956.
doi: 10.1021/acs.jproteome.5b00016 URL pmid: 25693719 |
[49] |
Luies L, Reenen MV, Ronacher K , et al. Predicting tuberculosis treatment outcome using metabolomics. Biomark Med, 2017,11(12):1057-1067.
doi: 10.2217/bmm-2017-0133 URL pmid: 29172670 |
[50] |
Zetola NM, Modongo C, Matsiri O , et al. Diagnosis of pulmonary tuberculosis and assessment of treatment response through analyses of volatile compound patterns in exhaled breath samples. J Infect, 2017,74(4):367-376.
doi: 10.1016/j.jinf.2016.12.006 URL pmid: 28017825 |
[1] | 刘晓莉, 雷丽梅, 郭周莉, 黄殷, 徐静, 赵霞, 王燕, 付莉. 结核病患者产生病耻感与领悟社会支持的相关性研究[J]. 中国防痨杂志, 2020, 42(9): 1002-1008. |
[2] | 中国防痨协会学术工作委员会《中国防痨杂志》编辑委员会. 抗结核药品固定剂量复合制剂的临床使用专家共识[J]. 中国防痨杂志, 2020, 42(9): 885-893. |
[3] | 靳鸿建. 我国县级结核病防治服务体系建设及防治工作亟需加强——一位老防痨工作者的意见和建议[J]. 中国防痨杂志, 2020, 42(9): 896-902. |
[4] | 张灿有, 夏辉, 成君. Ⅱ级生物安全柜在结核病实验室中的检测及报告要求[J]. 中国防痨杂志, 2020, 42(9): 903-909. |
[5] | 周林, 刘二勇, 孟庆琳, 陈明亭, 周新华, 高微微, 林明贵, 谢汝明. 《WS 288—2017 肺结核诊断》标准实施后肺结核诊断质量评估分析[J]. 中国防痨杂志, 2020, 42(9): 910-915. |
[6] | 刘二勇, 王前, 周林, 张国钦, 张修磊, 马永成, 杨枢敏, 王毳, 孟庆琳, 陈明亭, 林明贵, 屠德华. 我国部分地区病原学检测阴性肺结核诊断质量现状分析[J]. 中国防痨杂志, 2020, 42(9): 916-920. |
[7] | 孟庆琳, 李进岚, 林定文, 马永成, 侯双翼, 刘年强, 周林. 结核病防治从业人员对新的结核病标准相关知识知晓情况调查分析[J]. 中国防痨杂志, 2020, 42(9): 921-925. |
[8] | 王前, 周林, 刘二勇, 赵雁林, 李涛, 陈明亭, 杨丽佳, 王嘉. 我国县级结核病定点医疗机构结核病诊断能力现况调查研究[J]. 中国防痨杂志, 2020, 42(9): 926-930. |
[9] | 李婷, 何金戈, 苏茜, 李京, 李运葵, 高文凤, 高媛, 杨文. 结核菌素试验在四川省布拖县HIV感染/AIDS患者中筛查结核感染的价值[J]. 中国防痨杂志, 2020, 42(9): 931-936. |
[10] | 李运葵, 何金戈, 苏茜, 李婷, 李京, 高文凤, 杨文, 毛光玉. 结核病症状筛查在四川省布拖县HIV感染/AIDS患者中发现结核病患者的价值[J]. 中国防痨杂志, 2020, 42(9): 937-941. |
[11] | 苏茜, 夏勇, 逯嘉, 王丹霞, 何金戈. 2009—2018年四川省0~14 岁儿童肺结核流行特征分析[J]. 中国防痨杂志, 2020, 42(9): 942-947. |
[12] | 邓亚丽, 张天华, 刘卫平, 张宏伟, 马煜, 李鹏. 2014—2018年陕西省肺结核发病的时空聚集性分析[J]. 中国防痨杂志, 2020, 42(9): 948-955. |
[13] | 董晓, 赵珍, 刘年强, 王森路, 崔燕. 2009—2017年新疆维吾尔自治区老年肺结核发现特征分析[J]. 中国防痨杂志, 2020, 42(9): 956-961. |
[14] | 马廷龙, 韩毅, 程序, 刘志东. 超声抗结核药品电导入联合化疗对胸壁结核的疗效观察[J]. 中国防痨杂志, 2020, 42(9): 968-972. |
[15] | 南海, 张芸, 杨新婷, 段鸿飞. GeneXpert MTB/RIF对骨关节结核诊断价值的Meta分析[J]. 中国防痨杂志, 2020, 42(9): 973-980. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||