{"title":"设计用于结核分枝杆菌即时诊断的新型近红外聚集诱导发射发光标记。","authors":"Guiqin Dai, Pengfei Zhao, Lijun Song, Zhuojun He, Deliang Liu, Xiangke Duan, Qianting Yang, Wenchang Zhao, Jiayin Shen, Tetsuya Asakawa, Mingbin Zheng, Hongzhou Lu","doi":"10.5582/bst.2023.01087","DOIUrl":null,"url":null,"abstract":"<p><p>Detecting and appropriately diagnosing a Mycobacterium tuberculosis infection remains technologically difficult because the pathogen commonly hides in macrophages in a dormant state. Described here is novel near-infrared aggregation-induced-emission luminogen (AIEgen) labeling developed by the current authors' laboratory for point-of-care (POC) diagnosis of an M. tuberculosis infection. The selectivity of AIEgen labeling, the labeling of intracellular M. tuberculosis by AIEgen, and the labeling of M. tuberculosis in sputum samples by AIEgen, along with its accuracy, sensitivity, and specificity, were preliminarily evaluated. Results indicated that this near-infrared AIEgen labeling had satisfactory selectivity and it labeled intracellular M. tuberculosis and M. tuberculosis in sputum samples. It had a satisfactory accuracy (95.7%), sensitivity (95.5%), and specificity (100%) for diagnosis of an M. tuberculosis infection in sputum samples. The current results indicated that near-infrared AIEgen labeling might be a promising novel diagnostic tool for POC diagnosis of M. tuberculosis infection, though further rigorous verification of these findings is required.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":"17 3","pages":"234-238"},"PeriodicalIF":5.7000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Devising novel near-infrared aggregation-induced-emission luminogen labeling for point-of-care diagnosis of Mycobacterium tuberculosis.\",\"authors\":\"Guiqin Dai, Pengfei Zhao, Lijun Song, Zhuojun He, Deliang Liu, Xiangke Duan, Qianting Yang, Wenchang Zhao, Jiayin Shen, Tetsuya Asakawa, Mingbin Zheng, Hongzhou Lu\",\"doi\":\"10.5582/bst.2023.01087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Detecting and appropriately diagnosing a Mycobacterium tuberculosis infection remains technologically difficult because the pathogen commonly hides in macrophages in a dormant state. Described here is novel near-infrared aggregation-induced-emission luminogen (AIEgen) labeling developed by the current authors' laboratory for point-of-care (POC) diagnosis of an M. tuberculosis infection. The selectivity of AIEgen labeling, the labeling of intracellular M. tuberculosis by AIEgen, and the labeling of M. tuberculosis in sputum samples by AIEgen, along with its accuracy, sensitivity, and specificity, were preliminarily evaluated. Results indicated that this near-infrared AIEgen labeling had satisfactory selectivity and it labeled intracellular M. tuberculosis and M. tuberculosis in sputum samples. It had a satisfactory accuracy (95.7%), sensitivity (95.5%), and specificity (100%) for diagnosis of an M. tuberculosis infection in sputum samples. The current results indicated that near-infrared AIEgen labeling might be a promising novel diagnostic tool for POC diagnosis of M. tuberculosis infection, though further rigorous verification of these findings is required.</p>\",\"PeriodicalId\":8957,\"journal\":{\"name\":\"Bioscience trends\",\"volume\":\"17 3\",\"pages\":\"234-238\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioscience trends\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.5582/bst.2023.01087\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioscience trends","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.5582/bst.2023.01087","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
Devising novel near-infrared aggregation-induced-emission luminogen labeling for point-of-care diagnosis of Mycobacterium tuberculosis.
Detecting and appropriately diagnosing a Mycobacterium tuberculosis infection remains technologically difficult because the pathogen commonly hides in macrophages in a dormant state. Described here is novel near-infrared aggregation-induced-emission luminogen (AIEgen) labeling developed by the current authors' laboratory for point-of-care (POC) diagnosis of an M. tuberculosis infection. The selectivity of AIEgen labeling, the labeling of intracellular M. tuberculosis by AIEgen, and the labeling of M. tuberculosis in sputum samples by AIEgen, along with its accuracy, sensitivity, and specificity, were preliminarily evaluated. Results indicated that this near-infrared AIEgen labeling had satisfactory selectivity and it labeled intracellular M. tuberculosis and M. tuberculosis in sputum samples. It had a satisfactory accuracy (95.7%), sensitivity (95.5%), and specificity (100%) for diagnosis of an M. tuberculosis infection in sputum samples. The current results indicated that near-infrared AIEgen labeling might be a promising novel diagnostic tool for POC diagnosis of M. tuberculosis infection, though further rigorous verification of these findings is required.
期刊介绍:
BioScience Trends (Print ISSN 1881-7815, Online ISSN 1881-7823) is an international peer-reviewed journal. BioScience Trends devotes to publishing the latest and most exciting advances in scientific research. Articles cover fields of life science such as biochemistry, molecular biology, clinical research, public health, medical care system, and social science in order to encourage cooperation and exchange among scientists and clinical researchers.