新一代宏基因组测序诊断肺部感染

Paige M.K. Larkin Ph.D., D(ABMM), M(ASCP)CM , Melvilí Cintrón Ph.D., D(ABMM) , Rebekah M. Martin Ph.D., D(ABMM), MLS(ASCP)CM
{"title":"新一代宏基因组测序诊断肺部感染","authors":"Paige M.K. Larkin Ph.D., D(ABMM), M(ASCP)CM ,&nbsp;Melvilí Cintrón Ph.D., D(ABMM) ,&nbsp;Rebekah M. Martin Ph.D., D(ABMM), MLS(ASCP)CM","doi":"10.1016/j.clinmicnews.2023.01.004","DOIUrl":null,"url":null,"abstract":"<div><p>Despite pneumonia being a leading cause of morbidity and mortality worldwide, diagnostics remains a challenge, hindering rapid organism identification and subsequent effective treatments. Current microbiological methods include culture, serology, and limited molecular panels. While helpful, these methods are unable to address the full range of potential pathogens (e.g., fastidious or noncultivable organisms or uncommon organisms not included in current panels). Metagenomic next-generation sequencing (mNGS) is a molecular technique that analyzes and compares the nucleic acid content in a patient sample to a reference database of organisms that may include bacteria, viruses, fungi, and/or parasites, depending on the mNGS technology used. By bypassing the limitations of culture and targeted molecular assays, mNGS offers the potential to identify countless organisms directly from a patient specimen to aid in the diagnosis of an infectious process. Although promising, mNGS does have considerable limitations related to cost, interpretation, standardization, clinical relevance, turnaround time (TAT), and widespread availability. Thus, these factors should be considered prior to implementing mNGS for clinical use. Moreover, additional studies are required to fully understand the clinical and epidemiological impact of mNGS for the diagnosis of infectious diseases, including respiratory infections.</p></div>","PeriodicalId":39211,"journal":{"name":"Clinical Microbiology Newsletter","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metagenomic Next-Generation Sequencing for Diagnosis of Pulmonary Infections\",\"authors\":\"Paige M.K. Larkin Ph.D., D(ABMM), M(ASCP)CM ,&nbsp;Melvilí Cintrón Ph.D., D(ABMM) ,&nbsp;Rebekah M. Martin Ph.D., D(ABMM), MLS(ASCP)CM\",\"doi\":\"10.1016/j.clinmicnews.2023.01.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Despite pneumonia being a leading cause of morbidity and mortality worldwide, diagnostics remains a challenge, hindering rapid organism identification and subsequent effective treatments. Current microbiological methods include culture, serology, and limited molecular panels. While helpful, these methods are unable to address the full range of potential pathogens (e.g., fastidious or noncultivable organisms or uncommon organisms not included in current panels). Metagenomic next-generation sequencing (mNGS) is a molecular technique that analyzes and compares the nucleic acid content in a patient sample to a reference database of organisms that may include bacteria, viruses, fungi, and/or parasites, depending on the mNGS technology used. By bypassing the limitations of culture and targeted molecular assays, mNGS offers the potential to identify countless organisms directly from a patient specimen to aid in the diagnosis of an infectious process. Although promising, mNGS does have considerable limitations related to cost, interpretation, standardization, clinical relevance, turnaround time (TAT), and widespread availability. Thus, these factors should be considered prior to implementing mNGS for clinical use. Moreover, additional studies are required to fully understand the clinical and epidemiological impact of mNGS for the diagnosis of infectious diseases, including respiratory infections.</p></div>\",\"PeriodicalId\":39211,\"journal\":{\"name\":\"Clinical Microbiology Newsletter\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Microbiology Newsletter\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0196439923000107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Microbiology Newsletter","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196439923000107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

尽管肺炎是世界范围内发病率和死亡率的主要原因,但诊断仍然是一个挑战,阻碍了快速识别生物体和随后的有效治疗。目前的微生物学方法包括培养、血清学和有限的分子板。虽然有帮助,但这些方法无法解决潜在病原体的全部范围(例如,挑剔或不可培养的生物体或不包括在当前面板的罕见生物体)。新一代宏基因组测序(mNGS)是一种分子技术,可根据所使用的mNGS技术,分析和比较患者样本中的核酸含量与生物参考数据库(可能包括细菌、病毒、真菌和/或寄生虫)。通过绕过培养和靶向分子分析的限制,mNGS提供了直接从患者标本中识别无数生物体的潜力,以帮助诊断感染过程。尽管前景光明,但mNGS在成本、解释、标准化、临床相关性、周转时间(TAT)和广泛可用性方面存在相当大的局限性。因此,在临床应用mNGS之前,应考虑这些因素。此外,还需要进行更多的研究,以充分了解mNGS对包括呼吸道感染在内的传染病诊断的临床和流行病学影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Metagenomic Next-Generation Sequencing for Diagnosis of Pulmonary Infections

Despite pneumonia being a leading cause of morbidity and mortality worldwide, diagnostics remains a challenge, hindering rapid organism identification and subsequent effective treatments. Current microbiological methods include culture, serology, and limited molecular panels. While helpful, these methods are unable to address the full range of potential pathogens (e.g., fastidious or noncultivable organisms or uncommon organisms not included in current panels). Metagenomic next-generation sequencing (mNGS) is a molecular technique that analyzes and compares the nucleic acid content in a patient sample to a reference database of organisms that may include bacteria, viruses, fungi, and/or parasites, depending on the mNGS technology used. By bypassing the limitations of culture and targeted molecular assays, mNGS offers the potential to identify countless organisms directly from a patient specimen to aid in the diagnosis of an infectious process. Although promising, mNGS does have considerable limitations related to cost, interpretation, standardization, clinical relevance, turnaround time (TAT), and widespread availability. Thus, these factors should be considered prior to implementing mNGS for clinical use. Moreover, additional studies are required to fully understand the clinical and epidemiological impact of mNGS for the diagnosis of infectious diseases, including respiratory infections.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Clinical Microbiology Newsletter
Clinical Microbiology Newsletter Medicine-Infectious Diseases
CiteScore
2.20
自引率
0.00%
发文量
35
审稿时长
53 days
期刊介绍: Highly respected for its ability to keep pace with advances in this fast moving field, Clinical Microbiology Newsletter has quickly become a “benchmark” for anyone in the lab. Twice a month the newsletter reports on changes that affect your work, ranging from articles on new diagnostic techniques, to surveys of how readers handle blood cultures, to editorials questioning common procedures and suggesting new ones.
期刊最新文献
Current scenario and future prospect of scabies treatment: A comprehensive review “Eye see worms on the down Loa”: A case study of microfilarial co-infection General perspectives on dengue fever Navigating the new norm: The FDA's final rule on laboratory developed tests (LDTs) and its impact on clinical laboratory operations Neisseria meningitidis pyelonephritis: A rare and unusual presentation of an established pathogen
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1