Alexander Mischnik, Martin Kuhns, Lennard Meiwes, Steffen Pichlo, Julia Gaudlitz, Nika Zielinski, Thomas Theo Brehm
{"title":"[结核病诊断的新方法]。","authors":"Alexander Mischnik, Martin Kuhns, Lennard Meiwes, Steffen Pichlo, Julia Gaudlitz, Nika Zielinski, Thomas Theo Brehm","doi":"10.1055/a-2612-2417","DOIUrl":null,"url":null,"abstract":"<p><p>Tuberculosis remains the leading cause of death by a single infectious agent worldwide, with over 10 million cases annually. Despite global efforts, delayed or missed diagnoses continue to fuel transmission and mortality, particularly in resource-limited settings. This review outlines both the current diagnostic standards - microscopy, culture, and nucleic acid amplification tests - and highlights promising innovations aimed at improving diagnosis of tuberculosis disease. Novel approaches include stool polymerase chain reaction (PCR), CRISPR (clustered regularly interspaced short palindromic repeats)-based detection of circulating cell-free DNA (cfDNA), transcriptomic signatures, molecular bacterial load assay (MBLA), lipoarabinomannan (LAM) detection in urine or sputum, and non-invasive sampling techniques using exhaled breath condensate, face masks or oral swabs. Furthermore, advancements in imaging technologies and AI (artificial intelligence)-based tools may enhance diagnostic accuracy. Together, these developments have the potential to accelerate and simplify tuberculosis diagnostics in the future.</p>","PeriodicalId":93975,"journal":{"name":"Deutsche medizinische Wochenschrift (1946)","volume":"150 20","pages":"1198-1206"},"PeriodicalIF":0.7000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[New methods of tuberculosis diagnostics].\",\"authors\":\"Alexander Mischnik, Martin Kuhns, Lennard Meiwes, Steffen Pichlo, Julia Gaudlitz, Nika Zielinski, Thomas Theo Brehm\",\"doi\":\"10.1055/a-2612-2417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Tuberculosis remains the leading cause of death by a single infectious agent worldwide, with over 10 million cases annually. Despite global efforts, delayed or missed diagnoses continue to fuel transmission and mortality, particularly in resource-limited settings. This review outlines both the current diagnostic standards - microscopy, culture, and nucleic acid amplification tests - and highlights promising innovations aimed at improving diagnosis of tuberculosis disease. Novel approaches include stool polymerase chain reaction (PCR), CRISPR (clustered regularly interspaced short palindromic repeats)-based detection of circulating cell-free DNA (cfDNA), transcriptomic signatures, molecular bacterial load assay (MBLA), lipoarabinomannan (LAM) detection in urine or sputum, and non-invasive sampling techniques using exhaled breath condensate, face masks or oral swabs. Furthermore, advancements in imaging technologies and AI (artificial intelligence)-based tools may enhance diagnostic accuracy. Together, these developments have the potential to accelerate and simplify tuberculosis diagnostics in the future.</p>\",\"PeriodicalId\":93975,\"journal\":{\"name\":\"Deutsche medizinische Wochenschrift (1946)\",\"volume\":\"150 20\",\"pages\":\"1198-1206\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Deutsche medizinische Wochenschrift (1946)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2612-2417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Deutsche medizinische Wochenschrift (1946)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1055/a-2612-2417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/29 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Tuberculosis remains the leading cause of death by a single infectious agent worldwide, with over 10 million cases annually. Despite global efforts, delayed or missed diagnoses continue to fuel transmission and mortality, particularly in resource-limited settings. This review outlines both the current diagnostic standards - microscopy, culture, and nucleic acid amplification tests - and highlights promising innovations aimed at improving diagnosis of tuberculosis disease. Novel approaches include stool polymerase chain reaction (PCR), CRISPR (clustered regularly interspaced short palindromic repeats)-based detection of circulating cell-free DNA (cfDNA), transcriptomic signatures, molecular bacterial load assay (MBLA), lipoarabinomannan (LAM) detection in urine or sputum, and non-invasive sampling techniques using exhaled breath condensate, face masks or oral swabs. Furthermore, advancements in imaging technologies and AI (artificial intelligence)-based tools may enhance diagnostic accuracy. Together, these developments have the potential to accelerate and simplify tuberculosis diagnostics in the future.