Clinical applications and challenges of metagenomic next-generation sequencing in the diagnosis of pediatric infectious disease

IF 1.1 4区 医学 Q4 MEDICAL LABORATORY TECHNOLOGY Journal of Laboratory Medicine Pub Date : 2024-05-10 DOI:10.1515/labmed-2023-0158
Qiang Guo, Shihai Zhang
{"title":"Clinical applications and challenges of metagenomic next-generation sequencing in the diagnosis of pediatric infectious disease","authors":"Qiang Guo, Shihai Zhang","doi":"10.1515/labmed-2023-0158","DOIUrl":null,"url":null,"abstract":"Infectious diseases seriously threaten the lives of children. Timely and accurate detection of pathogenic microorganisms and targeted medication are the keys to the diagnosing and treatment of infectious diseases in children. The next-generation metagenomic sequencing technology has attracted great attention in infectious diseases because of its characteristics such as no culture, high throughput, short detection cycle, wide coverage, and a good application prospect. In this paper, we review the studies of metagenomic next-generation sequencing in pediatric infectious diseases and analyze the challenges of its application in pediatric diseases.","PeriodicalId":55986,"journal":{"name":"Journal of Laboratory Medicine","volume":"44 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Laboratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1515/labmed-2023-0158","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Infectious diseases seriously threaten the lives of children. Timely and accurate detection of pathogenic microorganisms and targeted medication are the keys to the diagnosing and treatment of infectious diseases in children. The next-generation metagenomic sequencing technology has attracted great attention in infectious diseases because of its characteristics such as no culture, high throughput, short detection cycle, wide coverage, and a good application prospect. In this paper, we review the studies of metagenomic next-generation sequencing in pediatric infectious diseases and analyze the challenges of its application in pediatric diseases.
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
元基因组新一代测序在儿科传染病诊断中的临床应用和挑战
传染病严重威胁着儿童的生命。及时、准确地检测病原微生物并有针对性地用药,是诊断和治疗儿童感染性疾病的关键。新一代元基因组测序技术因其无需培养、高通量、检测周期短、覆盖范围广、应用前景好等特点,在感染性疾病领域引起了极大关注。本文回顾了元基因组新一代测序技术在儿科感染性疾病中的研究,并分析了其在儿科疾病中应用所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Laboratory Medicine
Journal of Laboratory Medicine Mathematics-Discrete Mathematics and Combinatorics
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
期刊介绍: The Journal of Laboratory Medicine (JLM) is a bi-monthly published journal that reports on the latest developments in laboratory medicine. Particular focus is placed on the diagnostic aspects of the clinical laboratory, although technical, regulatory, and educational topics are equally covered. The Journal specializes in the publication of high-standard, competent and timely review articles on clinical, methodological and pathogenic aspects of modern laboratory diagnostics. These reviews are critically reviewed by expert reviewers and JLM’s Associate Editors who are specialists in the various subdisciplines of laboratory medicine. In addition, JLM publishes original research articles, case reports, point/counterpoint articles and letters to the editor, all of which are peer reviewed by at least two experts in the field.
期刊最新文献
Assessing the stability of uncentrifuged serum and plasma analytes at various post-collection intervals How Gaussian mixture modelling can help to verify reference intervals from laboratory data with a high proportion of pathological values Using machine learning techniques for exploration and classification of laboratory data Automated sex and age partitioning for the estimation of reference intervals using a regression tree model Serum LDH and its isoenzymes (LDH2 and LDH5) associated with predictive value for refractory mycoplasma pneumoniae pneumonia in children
×
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