留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于宏基因组学第二代测序技术分析烧伤脓毒症患者感染病原体的特征

史继静 赵靓 李晓亮 张群 夏成德 马超

史继静, 赵靓, 李晓亮, 等. 基于宏基因组学第二代测序技术分析烧伤脓毒症患者感染病原体的特征[J]. 中华烧伤与创面修复杂志, 2024, 40(10): 940-947. DOI: 10.3760/cma.j.cn501225-20240418-00137.
引用本文: 史继静, 赵靓, 李晓亮, 等. 基于宏基因组学第二代测序技术分析烧伤脓毒症患者感染病原体的特征[J]. 中华烧伤与创面修复杂志, 2024, 40(10): 940-947. DOI: 10.3760/cma.j.cn501225-20240418-00137.
Shi JJ,Zhao L,Li XL,et al.Analysis of the characteristics of infectious pathogens in burn patients with sepsis based on metagenomic next-generation sequencing technology[J].Chin J Burns Wounds,2024,40(10):940-947.DOI: 10.3760/cma.j.cn501225-20240418-00137.
Citation: Shi JJ,Zhao L,Li XL,et al.Analysis of the characteristics of infectious pathogens in burn patients with sepsis based on metagenomic next-generation sequencing technology[J].Chin J Burns Wounds,2024,40(10):940-947.DOI: 10.3760/cma.j.cn501225-20240418-00137.

基于宏基因组学第二代测序技术分析烧伤脓毒症患者感染病原体的特征

doi: 10.3760/cma.j.cn501225-20240418-00137
基金项目: 

河南省中青年卫生健康科技创新优秀青年人才培养项目 YXKC2020060

河南省医学科技攻关计划项目 LHGJ20230754

详细信息
    通讯作者:

    马超,Email:Mark612163@outlook.com

Analysis of the characteristics of infectious pathogens in burn patients with sepsis based on metagenomic next-generation sequencing technology

Funds: 

Young and Middle-Aged Health Science and Technology Innovation Talent Project of Henan Province of China YXKC2020060

Medical science and technology research project of Henan Province of China LHGJ20230754

More Information
  • 摘要:   目的  基于宏基因组学第二代测序(mNGS)技术,分析烧伤脓毒症患者感染病原体的特征。  方法  该研究为回顾性观察性研究。2021年7月—2023年12月,郑州市第一人民医院烧伤科收治109例符合入选标准的烧伤脓毒症患者,其中男68例,年龄57~92岁;女41例,年龄48~83岁。采集患者住院期间的血液、支气管肺泡灌洗液、脑脊液、痰液或其他液体标本,分别进行微生物培养(86例患者)和mNGS技术检测(109例患者)。统计采用mNGS技术检测的送检标本类型及检出病原体的情况,同时将患者分为入住重症监护病房(ICU)的ICU组(78例)和未入住ICU的非ICU组(31例),并对2组患者感染的病原体进行分析。另对同时进行mNGS技术检测和微生物培养检测的86例患者标本的病原体检出情况进行分析。  结果  采用mNGS技术检测的109份标本中,血液标本42份、支气管肺泡灌洗液标本17份、痰液标本4份、脑脊液标本6份、脓液标本16份、组织液标本24份;共检测出39种病原体,其中细菌13种、真菌12种、病毒10种、寄生虫2种、支原体2种;检出病原体的总体阳性率为88.99%(97/109)。检出率排前3位的革兰阴性菌依次是肺炎克雷伯菌、鲍曼不动杆菌、假单胞菌,排前3位的革兰阳性菌依次是肺炎链球菌、金黄色葡萄球菌、粪肠球菌;检出率排前3位的病毒依次是人类疱疹病毒、巨细胞病毒、细环病毒;检出率排前3位的真菌依次是烟曲霉菌、白色念珠菌、黄曲霉菌。27例患者感染1种病原体,45例患者感染2种病原体,25例患者感染≥3种病原体。与非ICU组相比,ICU组患者检出的肺炎克雷伯菌、鲍曼不动杆菌、假单胞菌、肺炎链球菌、烟曲霉菌、巨细胞病毒的占比均明显升高(χ2值分别为8.62、7.93、3.93、5.48、4.28、5.58,P<0.05)。mNGS技术和微生物培养法检出的病原体中,最常见细菌的是肺炎克雷伯菌和鲍曼不动杆菌,最常见的真菌是曲霉菌属菌株和念珠菌属菌株。只能通过mNGS技术检测到的病原体有19种,如分枝横梗霉菌、耶氏肺孢子菌、结核分枝杆菌、病毒等;无采用微生物培养法检测到而采用mNGS技术检测不到的病原体。与采用微生物培养法相比,采用mNGS技术检出病原体的总体阳性率、细菌阳性率、真菌阳性率均显著升高(χ2值分别为45.52、5.88、4.94,P<0.05)。采用2种检测方法同时报告阳性结果的患者占27.91%(24/86),采用mNGS技术检测结果为阳性而采用微生物培养法检测结果为阴性的患者占72.09%(62/86)。2种检测方法所得结果的一致性检验显示,差异无统计学意义(κ=0.02,P>0.05)。  结论  采用mNGS技术检测标本中病原体的阳性率高于采用常规微生物培养法,且能检测到后者不能检出的病原体,如分枝横梗霉菌、耶氏肺孢子菌、结核分枝杆菌、病毒等。采用mNGS技术检测有助于明确烧伤脓毒症患者感染病原体的种类,为临床用药提供依据和指导。

     

  • 参考文献(36)

    [1] 马琪敏, 汤文彬, 李孝建, 等. 危重烧伤老年患者早期临床特征的多中心回 顾分析及预后的危险因素分析[J]. 中华烧伤与创面修复杂志, 2024, 40(3): 249-257. DOI: 10.3760/cma.j.cn501225-20230808-00042.
    [2] BelbaMK, PetrelaEY, BelbaAG. Epidemiology and outcome analysis of sepsis and organ dysfunction/failure after burns[J]. Burns, 2017, 43(6): 1335-1347. DOI: 10.1016/j.burns.2017.02.017.
    [3] TorresMJM, PetersonJM, WolfSE. Detection of infection and sepsis in burns[J]. Surg Infect (Larchmt), 2021, 22(1): 20-27. DOI: 10.1089/sur.2020.348.
    [4] WilsonMR, NaccacheSN, SamayoaE, et al. Actionable diagnosis of neuroleptospirosis by next-generation sequencing[J]. N Engl J Med, 2014, 370(25): 2408-2417. DOI: 10.1056/NEJMoa1401268.
    [5] WangL, LiS, QinJ, et al. Clinical diagnosis application of metagenomic next-generation sequencing of plasma in suspected sepsis[J]. Infect Drug Resist, 2023,16:891-901. DOI: 10.2147/IDR.S395700.
    [6] OverbeekR, LeitlCJ, StollSE, et al. The value of next-generation sequencing in diagnosis and therapy of critically ill patients with suspected bloodstream infections: a retrospective cohort study[J]. J Clin Med, 2024, 13(2): 306. DOI: 10.3390/jcm13020306.
    [7] BloemsmaGC, DokterJ, BoxmaH, et al. Mortality and causes of death in a burn centre[J]. Burns, 2008, 34(8): 1103-1107. DOI: 10.1016/j.burns.2008.02.010.
    [8] LavrentievaA, VoutsasV, KonoglouM, et al. Determinants of outcome in burn ICU patients with septic shock[J]. J Burn Care Res, 2017, 38(1): e172-e179. DOI: 10.1097/BCR.0000000000000337.
    [9] SingerM, DeutschmanCS, SeymourCW, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3)[J]. JAMA, 2016, 315(8):801-810. DOI: 10.1001/jama.2016.0287.
    [10] 曹钰, 柴艳芬, 邓颖, 等. 中国脓毒症/脓毒性休克急诊治疗指南(2018)[J]. 感染、炎症、修复, 2019, 20(1): 3-22. DOI: 10.3969/j.issn.1672-8521.2019.01.001.
    [11] MillerS, NaccacheSN, SamayoaE, et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid[J]. Genome Res, 2019,29(5):831-842. DOI: 10.1101/gr.238170.118.
    [12] BolgerAM, LohseM, UsadelB. Trimmomatic: a flexible trimmer for Illumina sequence data[J]. Bioinformatics, 2014, 30(15): 2114-2120. DOI: 10.1093/bioinformatics/btu170.
    [13] LiH, DurbinR. Fast and accurate short read alignment with Burrows-Wheeler transform[J]. Bioinformatics, 2009, 25(14):1754-1760. DOI: 10.1093/bioinformatics/btp324.
    [14] ZinterMS, DvorakCC, MaydayMY, et al. Pulmonary metagenomic sequencing suggests missed infections in immunocompromised children[J]. Clin Infect Dis, 2019,68(11):1847-1855. DOI: 10.1093/cid/ciy802.
    [15] NapolitanoLM. Sepsis 2018: definitions and guideline changes[J]. Surg Infect (Larchmt), 2018,19(2):117-125. DOI: 10.1089/sur.2017.278.
    [16] ChiuCY, MillerSA. Clinical metagenomics[J]. Nat Rev Genet, 2019, 20(6): 341-355. DOI: 10.1038/s41576-019-0113-7.
    [17] WilsonMR, SampleHA, ZornKC, et al. Clinical metagenomic sequencing for diagnosis of meningitis and encephalitis[J]. N Engl J Med, 2019, 380(24): 2327-2340. DOI: 10.1056/NEJMoa1803396.
    [18] ChenY, FengW, YeK, et al. Application of metagenomic next-generation sequencing in the diagnosis of pulmonary infectious pathogens from bronchoalveolar lavage samples[J]. Front Cell Infect Microbiol, 2021,11:541092. DOI: 10.3389/fcimb.2021.541092.
    [19] GuW, DengX, LeeM, et al. Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids[J]. Nat Med, 2021,27(1):115-124. DOI: 10.1038/s41591-020-1105-z.
    [20] QinC, ZhangS, ZhaoY, et al. Diagnostic value of metagenomic next-generation sequencing in sepsis and bloodstream infection[J]. Front Cell Infect Microbiol, 2023, 10 (13): 1117987. DOI: 10.3389/fcimb.2023.1117987.
    [21] HuangJ, JiangE, YangD, et al. Metagenomic next-generation sequencing versus traditional pathogen detection in the diagnosis of peripheral pulmonary infectious lesions[J]. Infect Drug Resist, 2020,13:567-576. DOI: 10.2147/IDR.S235182.
    [22] HanD, LiZ, LiR, et al. mNGS in clinical microbiology laboratories: on the road to maturity[J]. Crit Rev Microbiol, 2019,45(5/6):668-685. DOI: 10.1080/1040841X.2019.1681933.
    [23] SimnerPJ, MillerS, CarrollKC. Understanding the promises and hurdles of metagenomic next-generation sequencing as a diagnostic tool for infectious diseases[J]. Clin Infect Dis, 2018,66(5):778-788. DOI: 10.1093/cid/cix881.
    [24] AfshinnekooE, ChouC, AlexanderN, et al. Precision metagenomics: rapid metagenomic analyses for infectious disease diagnostics and public health surveillance[J]. J Biomol Tech, 2017,28(1):40-45. DOI: 10.7171/jbt.17-2801-007.
    [25] WangY, BeekmanJ, HewJ, et al. Burn injury: challenges and advances in burn wound healing, infection, pain and scarring[J]. Adv Drug Deliv Rev, 2018,123:3-17. DOI: 10.1016/j.addr.2017.09.018.
    [26] OryanA, AlemzadehE, MoshiriA. Burn wound healing: present concepts, treatment strategies and future directions[J]. J Wound Care, 2017, 26(1): 5-19. DOI: 10.12968/jowc.2017.26.1.5.
    [27] 袁志强, 彭毅志. 烧伤重症监护病房多重耐药菌感染的应对策略及思考[J]. 中华烧伤杂志, 2021, 37(6): 524-529. DOI: 10.3760/cma.j.cn501120-20210413-00129.
    [28] SalzerHJF, BurchardG, CornelyOA, et al. Diagnosis and management of systemic endemic mycoses causing pulmonary disease[J]. Respiration, 2018, 96(3): 283-301. DOI: 10.1159/000489501.
    [29] GuarnerJ, BrandtME. Histopathologic diagnosis of fungal infections in the 21st century[J]. Clin Microbiol Rev, 2011,24(2):247-280. DOI: 10.1128/CMR.00053-10.
    [30] LiH, GaoH, MengH, et al. Detection of pulmonary infectious pathogens from lung biopsy tissues by metagenomic next-generation sequencing[J]. Front Cell Infect Microbiol, 2018,8:205. DOI: 10.3389/fcimb.2018.00205.
    [31] SokulskaM, KiciaM, WesołowskaM, et al. Pneumocystis jirovecii--from a commensal to pathogen: clinical and diagnostic review[J]. Parasitol Res, 2015,114(10):3577-3585. DOI: 10.1007/s00436-015-4678-6.
    [32] CantalupoPG, PipasJM. Detecting viral sequences in NGS data[J]. Curr Opin Virol, 2019,39:41-48. DOI: 10.1016/j.coviro.2019.07.010.
    [33] SalterSJ, CoxMJ, TurekEM, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses[J]. BMC Biol, 2014,12:87. DOI: 10.1186/s12915-014-0087-z.
    [34] Conceição-NetoN, ZellerM, LefrèreH, et al. Modular approach to customise sample preparation procedures for viral metagenomics: a reproducible protocol for virome analysis[J]. Sci Rep, 2015,5:16532. DOI: 10.1038/srep16532.
    [35] HengX, CaiP, YuanZ, et al. Efficacy and safety of extracorporeal membrane oxygenation for burn patients: a comprehensive systematic review and meta-analysis[J/OL]. Burns Trauma, 2023,11:tkac056[2024-04-18]. https://pubmed.ncbi.nlm.nih.gov/36873286/. DOI: 10.1093/burnst/tkac056.
    [36] HuangJ, ChenY, GuoZ, et al. Prospective study and validation of early warning marker discovery based on integrating multi-omics analysis in severe burn patients with sepsis[J/OL]. Burns Trauma, 2023,11:tkac050[2024-04-18]. https://pubmed.ncbi.nlm.nih.gov/36659877/. DOI: 10.1093/burnst/tkac050.
  • Table  1.   采用宏基因组学第二代测序技术检测烧伤脓毒症患者的不同类型标本感染病原体的情况(株)

    病原体类型与种类血液支气管肺泡灌洗液痰液脑脊液脓液组织液合计
    革兰阴性菌
    肺炎克雷伯菌156202025
    鲍曼不动杆菌130030622
    假单胞菌75222220
    铜绿假单胞菌70002312
    大肠埃希菌4001016
    产气克雷伯菌0000123
    革兰阳性菌
    肺炎链球菌66400016
    金黄色葡萄球菌00304310
    粪肠球菌0220217
    结核分枝杆菌0420006
    屎肠球菌0220004
    鸟肠球菌0020002
    溶血葡萄球菌1100002
    病毒
    巨细胞病毒122102017
    人类疱疹病毒110007018
    细环病毒7000029
    乙型肝炎病毒3000003
    单纯疱疹病毒4000206
    小细环病毒6型1000001
    人呼吸道病毒0100001
    默克尔细胞多瘤病毒0000011
    庚型肝炎病毒1000001
    人多瘤病毒0001001
    真菌
    烟曲霉菌45210315
    白色念珠菌34012313
    黄曲霉菌73011012
    卷枝毛霉菌2220129
    耶氏肺孢子菌1510007
    热带念珠菌2210016
    德氏根霉菌2100003
    近平滑念珠菌2100003
    分枝横梗霉菌1000012
    黑曲霉菌0001012
    匍枝根霉菌0000011
    阿萨希毛孢子菌1000001
    其他病原体
    寄生虫/支原体1111004
    合计1185327122833271
    下载: 导出CSV

    Table  2.   采用宏基因组学第二代测序技术检测2组烧伤脓毒症患者的病原体情况(株)

    组别样本数肺炎克雷伯菌鲍曼不动杆菌假单胞菌铜绿假单胞菌大肠埃希菌肺炎链球菌金黄色葡萄球菌粪肠球菌结核分枝杆菌屎肠球菌
    非ICU组318684252211
    ICU组7817a16a12a8411a8452
    注:ICU指重症监护病房;其他包括产气克雷伯菌、鸟肠球菌、溶血葡萄球菌、乙型肝炎病毒、单纯疱疹病毒、小细环病毒6型、人呼吸道病毒、默克尔细胞多瘤病毒、庚型肝炎病毒、人多瘤病毒、卷枝毛霉菌、热带念珠菌、德氏根霉菌、近平滑念珠菌、分枝横梗霉菌、匍枝根霉菌、阿萨希毛孢子菌、班氏血丝虫、疟原虫、人型支原体、解脲支原体;与非ICU组比较,aP<0.05
    下载: 导出CSV

    Table  3.   采用2种方法检出烧伤脓毒症患者的病原体情况(株)

    检测方法样本数肺炎克雷伯菌鲍曼不动杆菌假单胞菌铜绿假单胞菌大肠埃希菌肺炎链球菌金黄色葡萄球菌粪肠球菌结核分枝杆菌屎肠球菌溶血葡萄球菌
    mNGS技术8625222012616107642
    微生物培养8644213321021
    注:mNGS指宏基因组学第二代测序;其他包括产气克雷伯菌、乙型肝炎病毒、单纯疱疹病毒、小细环病毒6型、人呼吸道病毒、默克尔细胞多瘤病毒、班氏血丝虫、疟原虫、人型支原体、解脲支原体等,曲霉菌属包括黄曲霉菌、烟曲霉菌、黑曲霉菌,念珠菌属包括白色念珠菌、热带念珠菌、近平滑念珠菌,毛霉属包括卷枝毛霉菌、分枝横梗霉菌,孢子菌属包括耶氏肺孢子菌、阿萨希毛孢子菌,根霉属包括匍枝根霉菌、德氏根霉菌
    下载: 导出CSV
  • 史继静.mp4
  • 加载中
图(1) / 表(3)
计量
  • 文章访问数:  81
  • HTML全文浏览量:  10
  • PDF下载量:  9
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-04-18

目录

    /

    返回文章
    返回