{"title":"基于crispr的血液感染患者耐甲氧西林金黄色葡萄球菌即时检测诊断方法","authors":"Hai-Qian Huang, Jun-Heng Zhang, Xie-Fei Hu, Jing-Song Xu, Yu Liu, Shuang Yang, Tian-Ming Li, Zi-Yue Zhu, Shun Li, Wei Li, Min Li, Hua Wang","doi":"10.1021/acssensors.6c01650","DOIUrl":null,"url":null,"abstract":"<p>Methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) is a leading cause of mortality in critically ill patients with bloodstream infections (BSIs). Timely diagnosis and early initiation of guideline-concordant antimicrobial therapy are independently associated with improved survival and reduced complication rates in patients with MRSA BSIs. However, current blood culture-based detection of MRSA requires 3–7 days for definitive identification and antimicrobial susceptibility reporting, entails numerous manual steps, and frequently delays the transition from empirical to pathogen-directed therapy, thereby affecting treatment outcomes and patient prognosis. Here, we present a highly sensitive and specific CRISPR-based diagnostic platform that shortens the MRSA detection time from >70 h to ∼2 h—enabling true \"sample-to-result\" testing directly from whole blood at the point of care. This study develops a one-step RPA-CRISPR assay targeting the <em>S. aureus</em> nucA and mecA genes, with 10 copies/reaction sensitivity and no cross-reactivity. By integrating vancomycin-conjugated magnetic nanoparticles, a herringbone microfluidic chip, and a miniaturized wireless analyzer, the platform performs on-chip <em>S. aureus</em> capture, lysis-mediated DNA release, and dual-gene detection directly from whole blood. In a prospective, multicenter clinical evaluation of 350 hospitalized patients with suspected bacteremia, the HELP platform identified all 20 <em>S. aureus</em>-positive cases (including 8 MRSA-positive cases), demonstrating 100% positive percent agreement with blood culture. By delivering definitive MRSA identification in under 2 h, HELP markedly accelerates clinical decision-making, facilitates the timely initiation of targeted antimicrobial therapy, and holds strong potential for scalable deployment in primary care and resource-constrained settings.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8134–8144"},"PeriodicalIF":10.9000,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CRISPR-Based Diagnostic Assay for Point-of-Care Detection of Methicillin-Resistant Staphylococcus aureus in patients with Bloodstream Infections\",\"authors\":\"Hai-Qian Huang, Jun-Heng Zhang, Xie-Fei Hu, Jing-Song Xu, Yu Liu, Shuang Yang, Tian-Ming Li, Zi-Yue Zhu, Shun Li, Wei Li, Min Li, Hua Wang\",\"doi\":\"10.1021/acssensors.6c01650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) is a leading cause of mortality in critically ill patients with bloodstream infections (BSIs). Timely diagnosis and early initiation of guideline-concordant antimicrobial therapy are independently associated with improved survival and reduced complication rates in patients with MRSA BSIs. However, current blood culture-based detection of MRSA requires 3–7 days for definitive identification and antimicrobial susceptibility reporting, entails numerous manual steps, and frequently delays the transition from empirical to pathogen-directed therapy, thereby affecting treatment outcomes and patient prognosis. Here, we present a highly sensitive and specific CRISPR-based diagnostic platform that shortens the MRSA detection time from >70 h to ∼2 h—enabling true \\\"sample-to-result\\\" testing directly from whole blood at the point of care. This study develops a one-step RPA-CRISPR assay targeting the <em>S. aureus</em> nucA and mecA genes, with 10 copies/reaction sensitivity and no cross-reactivity. By integrating vancomycin-conjugated magnetic nanoparticles, a herringbone microfluidic chip, and a miniaturized wireless analyzer, the platform performs on-chip <em>S. aureus</em> capture, lysis-mediated DNA release, and dual-gene detection directly from whole blood. In a prospective, multicenter clinical evaluation of 350 hospitalized patients with suspected bacteremia, the HELP platform identified all 20 <em>S. aureus</em>-positive cases (including 8 MRSA-positive cases), demonstrating 100% positive percent agreement with blood culture. By delivering definitive MRSA identification in under 2 h, HELP markedly accelerates clinical decision-making, facilitates the timely initiation of targeted antimicrobial therapy, and holds strong potential for scalable deployment in primary care and resource-constrained settings.</p>\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"11 9\",\"pages\":\"8134–8144\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2026-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acssensors.6c01650\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/9/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssensors.6c01650","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
CRISPR-Based Diagnostic Assay for Point-of-Care Detection of Methicillin-Resistant Staphylococcus aureus in patients with Bloodstream Infections
Methicillin-resistant Staphylococcus aureus (MRSA) is a leading cause of mortality in critically ill patients with bloodstream infections (BSIs). Timely diagnosis and early initiation of guideline-concordant antimicrobial therapy are independently associated with improved survival and reduced complication rates in patients with MRSA BSIs. However, current blood culture-based detection of MRSA requires 3–7 days for definitive identification and antimicrobial susceptibility reporting, entails numerous manual steps, and frequently delays the transition from empirical to pathogen-directed therapy, thereby affecting treatment outcomes and patient prognosis. Here, we present a highly sensitive and specific CRISPR-based diagnostic platform that shortens the MRSA detection time from >70 h to ∼2 h—enabling true "sample-to-result" testing directly from whole blood at the point of care. This study develops a one-step RPA-CRISPR assay targeting the S. aureus nucA and mecA genes, with 10 copies/reaction sensitivity and no cross-reactivity. By integrating vancomycin-conjugated magnetic nanoparticles, a herringbone microfluidic chip, and a miniaturized wireless analyzer, the platform performs on-chip S. aureus capture, lysis-mediated DNA release, and dual-gene detection directly from whole blood. In a prospective, multicenter clinical evaluation of 350 hospitalized patients with suspected bacteremia, the HELP platform identified all 20 S. aureus-positive cases (including 8 MRSA-positive cases), demonstrating 100% positive percent agreement with blood culture. By delivering definitive MRSA identification in under 2 h, HELP markedly accelerates clinical decision-making, facilitates the timely initiation of targeted antimicrobial therapy, and holds strong potential for scalable deployment in primary care and resource-constrained settings.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.