Huishu Huang , Ying Li , Yuwei Wu , Xinyu Zhao , He Gao , Xinqiang Xie , Lei Wu , Hui Zhao , Longyan Li , Jumei Zhang , Moutong Chen , Qingping Wu
{"title":"幽门螺旋杆菌检测技术的进展:从基于病理学的方法到基于多组学的方法","authors":"Huishu Huang , Ying Li , Yuwei Wu , Xinyu Zhao , He Gao , Xinqiang Xie , Lei Wu , Hui Zhao , Longyan Li , Jumei Zhang , Moutong Chen , Qingping Wu","doi":"10.1016/j.trac.2024.118041","DOIUrl":null,"url":null,"abstract":"<div><div>Traditional detection methods for <em>Helicobacter pylori</em> (<em>H. pylori</em>) infection are complex and time-consuming, which hinders their large-scale application. In recent years, advances in multi-omics techniques have expanded the detection targets for <em>H. pylori</em>. Simultaneously, the development of technologies such as CRISPR/Cas systems, biosensors and artificial intelligence image recognition systems has also promoted the development of detection technology. Therefore, systematic summary and in-depth description of the latest technology will facilitate the advancement of <em>H. pylori</em> detection. In this paper, the existing <em>H</em>. <em>pylori</em> detection methods are divided into four categories according to detection targets: pathological detection, metabolic detection, proteomic detection and nucleic acid detection. The working principles and application characteristics are reviewed, and their advantages and limitations are compared. This article is not exhaustive, but it also discusses potential techniques that could inspire the development of faster, more accurate, and more convenient detection systems for <em>H. pylori</em> infection.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118041"},"PeriodicalIF":11.8000,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances in Helicobacter pylori detection technology: From pathology-based to multi-omic based methods\",\"authors\":\"Huishu Huang , Ying Li , Yuwei Wu , Xinyu Zhao , He Gao , Xinqiang Xie , Lei Wu , Hui Zhao , Longyan Li , Jumei Zhang , Moutong Chen , Qingping Wu\",\"doi\":\"10.1016/j.trac.2024.118041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Traditional detection methods for <em>Helicobacter pylori</em> (<em>H. pylori</em>) infection are complex and time-consuming, which hinders their large-scale application. In recent years, advances in multi-omics techniques have expanded the detection targets for <em>H. pylori</em>. Simultaneously, the development of technologies such as CRISPR/Cas systems, biosensors and artificial intelligence image recognition systems has also promoted the development of detection technology. Therefore, systematic summary and in-depth description of the latest technology will facilitate the advancement of <em>H. pylori</em> detection. In this paper, the existing <em>H</em>. <em>pylori</em> detection methods are divided into four categories according to detection targets: pathological detection, metabolic detection, proteomic detection and nucleic acid detection. The working principles and application characteristics are reviewed, and their advantages and limitations are compared. This article is not exhaustive, but it also discusses potential techniques that could inspire the development of faster, more accurate, and more convenient detection systems for <em>H. pylori</em> infection.</div></div>\",\"PeriodicalId\":439,\"journal\":{\"name\":\"Trends in Analytical Chemistry\",\"volume\":\"182 \",\"pages\":\"Article 118041\"},\"PeriodicalIF\":11.8000,\"publicationDate\":\"2024-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Analytical Chemistry\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165993624005247\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993624005247","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Advances in Helicobacter pylori detection technology: From pathology-based to multi-omic based methods
Traditional detection methods for Helicobacter pylori (H. pylori) infection are complex and time-consuming, which hinders their large-scale application. In recent years, advances in multi-omics techniques have expanded the detection targets for H. pylori. Simultaneously, the development of technologies such as CRISPR/Cas systems, biosensors and artificial intelligence image recognition systems has also promoted the development of detection technology. Therefore, systematic summary and in-depth description of the latest technology will facilitate the advancement of H. pylori detection. In this paper, the existing H. pylori detection methods are divided into four categories according to detection targets: pathological detection, metabolic detection, proteomic detection and nucleic acid detection. The working principles and application characteristics are reviewed, and their advantages and limitations are compared. This article is not exhaustive, but it also discusses potential techniques that could inspire the development of faster, more accurate, and more convenient detection systems for H. pylori infection.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.