不同临床标本二代测序在感染性疾病诊断中的研究进展
Research Progress of Next-Generation Sequencing for Infectious Disease Diagnosis across Various Clinical Specimens
DOI: 10.12677/acm.2026.1651919, PDF,    科研立项经费支持
作者: 肖东京*, 程业杰, 陈 杰:重庆市长寿区人民医院呼吸与危重症医学科,重庆;朱本玲#:重庆市长寿区人民医院病理科,重庆
关键词: 二代测序临床标本感染性疾病病原体检测临床应用精准诊断Next-Generation Sequencing Clinical Specimens Infectious Diseases Pathogen Detection Clinical Application Precision Diagnosis
摘要: 感染性疾病是当前重要的公共卫生挑战,传统微生物培养与聚合酶链式反应(PCR)技术难以满足精准抗感染诊疗需求,二代测序(NGS)技术为疑难及危重感染诊断提供了新工具。本文系统综述了NGS在外周血、痰液、肺泡灌洗液、胸腹水及脑脊液五种常见临床标本中的研究进展。结果显示,不同标本类型因解剖与生理特性差异,其NGS检测的敏感性与特异性各异:外周血NGS对血流感染及免疫低下患者优势显著但易受人源核酸干扰;呼吸道标本(痰液、肺泡灌洗液)可显著提高肺部感染检出率,但需甄别定植菌;胸腹水NGS可拓宽病原谱,尤其在罕见病原体识别中作用突出;脑脊液NGS为中枢神经系统感染提供了高效诊断方案。尽管当前NGS仍面临人源核酸干扰、定植与致病菌鉴别困难及缺乏药敏结果等共性挑战,但随着去宿主技术、靶向富集方法及规范化流程的完善,NGS正逐步从“能用”走向“好用”,有望推动感染性疾病诊疗从经验性治疗迈向精准诊断。
Abstract: Infectious diseases remain a major public health challenge. Traditional microbial culture and polymerase chain reaction (PCR) techniques often fall short of meeting the demands of precise anti-infective diagnosis and treatment. Next-generation sequencing (NGS) has emerged as a promising tool for diagnosing complicated and critical infections. This article systematically reviews the research progress of NGS applied to five common clinical specimen types: peripheral blood, sputum, bronchoalveolar lavage fluid, pleural fluid, ascites, and cerebrospinal fluid. The findings indicate that the sensitivity and specificity of NGS vary across specimen types due to differences in anatomical and physiological characteristics. NGS of peripheral blood offers significant advantages in detecting bloodstream infections and in immunocompromised patients, though it is susceptible to interference from human nucleic acids. Respiratory specimens (sputum and bronchoalveolar lavage fluid) markedly improve the detection rate of pulmonary infections but require careful differentiation of colonizing microorganisms. NGS of pleural fluid and ascites broadens the detectable pathogen spectrum, demonstrating particular value in identifying rare pathogens. NGS of cerebrospinal fluid provides an efficient diagnostic approach for central nervous system infections. Despite current challenges common to NGS, including interference from human nucleic acids, difficulty in distinguishing colonizing and pathogenic bacteria, and the lack of antimicrobial susceptibility data, ongoing advancements in host depletion techniques, targeted enrichment methods, and standardized procedures are gradually making NGS more practical and effective. These developments are expected to facilitate the transition of infectious disease diagnosis and treatment from empirical therapy to precision diagnosis.
文章引用:肖东京, 程业杰, 陈杰, 朱本玲. 不同临床标本二代测序在感染性疾病诊断中的研究进展[J]. 临床医学进展, 2026, 16(5): 1195-1202. https://doi.org/10.12677/acm.2026.1651919

参考文献

[1] Bender, R.G., Sirota, S.B., Swetschinski, L.R., Dominguez, R.V., Novotney, A., Wool, E.E., et al. (2024) Global, Regional, and National Incidence and Mortality Burden of Non-COVID-19 Lower Respiratory Infections and Aetiologies, 1990-2021: A Systematic Analysis from the Global Burden of Disease Study 2021. The Lancet Infectious Diseases, 24, 974-1002. [Google Scholar] [CrossRef] [PubMed]
[2] Ling, L., Lai, C.K.C. and Rhee, C. (2025) Bacterial Multiplex Polymerase Chain Reaction Tests for the Diagnosis and Management of Pneumonia: Ready for Prime Time? Thorax, 80, 862-872. [Google Scholar] [CrossRef] [PubMed]
[3] Elbehiry, A. and Abalkhail, A. (2025) Metagenomic Next-Generation Sequencing in Infectious Diseases: Clinical Applications, Translational Challenges, and Future Directions. Diagnostics, 15, Article 1991. [Google Scholar] [CrossRef
[4] Liu, C., Long, J., Li, Y., Leng, X., Zhang, J., Chen, S., et al. (2025) The Comparison of Diagnostic Performance between Next-Generation Sequencing of Blood and Tissues for Primary Spinal Infections. Global Spine Journal, 16, 1192-1202. [Google Scholar] [CrossRef
[5] Nielsen, M.E., Søgaard, K.K., Karst, S.M., et al. (2025) Application of Rapid Nanopore Metagenomic Cell-Free DNA Sequencing to Diagnose Bloodstream Infections: A Prospective Observational Study. medRxiv. [Google Scholar] [CrossRef
[6] Qin, C., Zhang, S., Zhao, Y., Ding, X., Yang, F. and Zhao, Y. (2023) Diagnostic Value of Metagenomic Next-Generation Sequencing in Sepsis and Bloodstream Infection. Frontiers in Cellular and Infection Microbiology, 13, Article 1117987. [Google Scholar] [CrossRef] [PubMed]
[7] Ma, J., Jiang, Y., He, Y. and Zhou, H. (2024) The Value of Metagenomic Next-Generation Sequencing with Blood Samples for the Diagnosis of Disseminated Tuberculosis. Frontiers in Cellular and Infection Microbiology, 14, Article 1456119. [Google Scholar] [CrossRef] [PubMed]
[8] Ma, X., Zhang, S., Xing, H., Li, H., Chen, J., Li, H., et al. (2022) Invasive Pulmonary Aspergillosis Diagnosis via Peripheral Blood Metagenomic Next-Generation Sequencing. Frontiers in Medicine, 9, Article 751617. [Google Scholar] [CrossRef] [PubMed]
[9] Yin, Q., Li, Y., Pan, H., Hui, T., Yu, Z., Wu, H., et al. (2022) Atypical Pneumonia Caused by Chlamydia Psittaci during the COVID-19 Pandemic. International Journal of Infectious Diseases, 122, 622-627. [Google Scholar] [CrossRef] [PubMed]
[10] Li, X., Liang, S., Zhang, D., He, M. and Zhang, H. (2023) The Clinical Application of Metagenomic Next-Generation Sequencing in Sepsis of Immunocompromised Patients. Frontiers in Cellular and Infection Microbiology, 13, Article 1170687. [Google Scholar] [CrossRef] [PubMed]
[11] Yu, J., Zhang, L., Gao, D., Wang, J., Li, Y. and Sun, N. (2024) Comparison of Metagenomic Next-Generation Sequencing and Blood Culture for Diagnosis of Bloodstream Infections. Frontiers in Cellular and Infection Microbiology, 14, Article 1338861. [Google Scholar] [CrossRef] [PubMed]
[12] Deng, Z., Li, C., Wang, Y., Wu, F., Liang, C., Deng, W., et al. (2023) Targeted Next-Generation Sequencing for Pulmonary Infection Diagnosis in Patients Unsuitable for Bronchoalveolar Lavage. Frontiers in Medicine, 10, Article 1321515. [Google Scholar] [CrossRef] [PubMed]
[13] Zhang, H., Dai, X., Hu, P., Tian, L., Li, C., Ding, B., et al. (2024) Comparison of Targeted Next-Generation Sequencing and the Xpert MTB/RIF Assay for Detection of Mycobacterium tuberculosis in Clinical Isolates and Sputum Specimens. Microbiology Spectrum, 12, e409823. [Google Scholar] [CrossRef] [PubMed]
[14] Claassen-Weitz, S., Gardner-Lubbe, S., Mwaikono, K.S., du Toit, E., Zar, H.J. and Nicol, M.P. (2020) Optimizing 16S rRNA Gene Profile Analysis from Low Biomass Nasopharyngeal and Induced Sputum Specimens. BMC Microbiology, 20, Article No. 113. [Google Scholar] [CrossRef] [PubMed]
[15] Chen, S., Kang, Y., Li, D. and Li, Z. (2022) Diagnostic Performance of Metagenomic Next-Generation Sequencing for the Detection of Pathogens in Bronchoalveolar Lavage Fluid in Patients with Pulmonary Infections: Systematic Review and Meta-analysis. International Journal of Infectious Diseases, 122, 867-873. [Google Scholar] [CrossRef] [PubMed]
[16] Dai, X., Xu, K., Tong, Y., Li, J., Dai, L., Shi, J., et al. (2025) Application of Targeted Next-Generation Sequencing in Bronchoalveolar Lavage Fluid for the Detection of Pathogens in Pulmonary Infections. Infection and Drug Resistance, 18, 511-522. [Google Scholar] [CrossRef] [PubMed]
[17] Ding, Y., Jing, C., Wei, J., Wang, D., Li, W., Wang, M., et al. (2025) Comparison of the Diagnostic Capabilities of TNGs and MNGs for Pathogens Causing Lower Respiratory Tract Infections: A Prospective Observational Study. Frontiers in Cellular and Infection Microbiology, 15, Article 1578939. [Google Scholar] [CrossRef] [PubMed]
[18] Xu, Y., Ma, Y., Huang, Q., Guo, X., Guo, L., Ren, Y., et al. (2026) The Role of Bronchoalveolar Lavage Fluid Metagenomic Next-Generation Sequencing in Detecting Pathogens and Optimising Antibiotic Therapy in Paediatric Severe Community-Acquired Pneumonia. Frontiers in Cellular and Infection Microbiology, 15, Article 1688473. [Google Scholar] [CrossRef
[19] Wang, Y., Shen, Y., Shen, J., Bi, J., Xu, J., Wei, T., et al. (2026) Airway Microbiome Dysbiosis in Severe Pneumonia: Metagenomic Evidence of Pathogen Expansion and Commensal Depletion. European Journal of Medical Research, 31, Article No. 339. [Google Scholar] [CrossRef
[20] Liu, B., Bao, Z., Chen, W., Xi, X., Ge, X., Zhou, J., et al. (2025) Targeted Next-Generation Sequencing in Pneumonia: Applications in the Detection of Responsible Pathogens, Antimicrobial Resistance, and Virulence. Infection and Drug Resistance, 18, 407-418. [Google Scholar] [CrossRef] [PubMed]
[21] Hsu, W., Kao, T., Cho, H., Ruan, S., Lee, T., Huang, Y., et al. (2025) Performance of a Hybrid Capture-Based Target Enrichment Next-Generation Sequencing for the Identification of Respiratory Pathogens and Resistance-Associated Genes in Patients with Severe Pneumonia. Microbiology Spectrum, 13, e02130-24. [Google Scholar] [CrossRef] [PubMed]
[22] Yin, Y., Zhu, P., Guo, Y., Li, Y., Chen, H., Liu, J., et al. (2024) Enhancing Lower Respiratory Tract Infection Diagnosis: Implementation and Clinical Assessment of Multiplex PCR-Based and Hybrid Capture-Based Targeted Next-Generation Sequencing. eBioMedicine, 107, Article ID: 105307. [Google Scholar] [CrossRef] [PubMed]
[23] Xue, T., Du, W., Zhao, Y., et al. (2025) [Metagenomic Next-Generation Sequencing Technology and Its Application in Diagnosis of Pneumocystis jirovecii Infection: A Review]. Chinese Journal of Schistosomiasis Control, 37, 434-446. (In Chinese)
[24] Charette, W.C., Rabodoarivelo, M., Point, F., et al. (2024) Concordance of Targeted and Whole Genome Sequencing for Mycobacterium tuberculosis Genotypic Drug Susceptibility Testing. Diagnostic Microbiology and Infectious Disease, 109, Article ID: 116249.
[25] Yuan, J., Ma, L., Du, J., Sun, H., Li, S., Zhou, G., et al. (2025) Host DNA Depletion Assisted Metagenomic Sequencing of Bronchoalveolar Lavage Fluids for Diagnosis of Pulmonary Tuberculosis. Annals of Clinical Microbiology and Antimicrobials, 24, Article No. 13. [Google Scholar] [CrossRef] [PubMed]
[26] 周道银, 吴茅, 许绍强, 等. 支气管肺泡灌洗液细胞形态学检验中国专家共识(2020)[J]. 现代检验医学杂志, 2020, 35(6): 4-8.
[27] Xu, F., Wang, Q., Zhang, N., Xing, X., Liu, Z., Li, K., et al. (2023) Simultaneous Diagnosis of Tuberculous Pleurisy and Malignant Pleural Effusion Using Metagenomic Next-Generation Sequencing (mNGS). Journal of Translational Medicine, 21, Article No. 680. [Google Scholar] [CrossRef] [PubMed]
[28] Shiraishi, Y., Kryukov, K., Tomomatsu, K., Sakamaki, F., Inoue, S., Nakagawa, S., et al. (2021) Diagnosis of Pleural Empyema/Parapneumonic Effusion by Next-Generation Sequencing. Infectious Diseases, 53, 450-459. [Google Scholar] [CrossRef] [PubMed]
[29] Goelz, H., Wetzel, S., Mehrbarzin, N., Utzolino, S., Häcker, G. and Badr, M.T. (2021) Next-and Third-Generation Sequencing Outperforms Culture-Based Methods in the Diagnosis of Ascitic Fluid Bacterial Infections of ICU Patients. Cells, 10, Article 3226. [Google Scholar] [CrossRef] [PubMed]
[30] Wang, Z., Li, D., Lu, L., Xu, Z., Ouyang, G. and Sun, Y. (2024) Identification of Anncaliia algerae in Ascites in an Immunosuppressed Patient, China. Open Forum Infectious Diseases, 11, ofae393. [Google Scholar] [CrossRef] [PubMed]
[31] Mao, J., Li, D., Zhang, D., Yang, Q., Long, Y. and Cui, N. (2024) Utility of Paired Plasma and Drainage Fluid mNGS in Diagnosing Acute Intra-Abdominal Infections with Sepsis. BMC Infectious Diseases, 24, Article No. 409. [Google Scholar] [CrossRef] [PubMed]
[32] Kanaujia, R., Biswal, M., Angrup, A. and Ray, P. (2022) Diagnostic Accuracy of the Metagenomic Next-Generation Sequencing (mNGS) for Detection of Bacterial Meningoencephalitis: A Systematic Review and Meta-Analysis. European Journal of Clinical Microbiology & Infectious Diseases, 41, 881-891. [Google Scholar] [CrossRef] [PubMed]
[33] He, S., Xiong, Y., Tu, T., Feng, J., Fu, Y., Hu, X., et al. (2024) Diagnostic Performance of Metagenomic Next-Generation Sequencing for the Detection of Pathogens in Cerebrospinal Fluid in Pediatric Patients with Central Nervous System Infection: A Systematic Review and Meta-Analysis. BMC Infectious Diseases, 24, Article No. 103. [Google Scholar] [CrossRef] [PubMed]
[34] Feng, Q., Liu, B., Liu, H., Fan, Y., Gao, S., Zhang, J., et al. (2026) The Application Value and Limitations of Metagenomic Detection Technology Based on Cerebrospinal Fluid Samples in Suspected Central Nervous System Infection: A Retrospective Study. Frontiers in Microbiology, 16, Article 1689253. [Google Scholar] [CrossRef