Karius, Redwood City, California, USA.
AdventHealth Orlando, Orlando, Florida, USA.
J Clin Microbiol. 2024 Oct 16;62(10):e0042524. doi: 10.1128/jcm.00425-24. Epub 2024 Aug 28.
Sequencing of plasma microbial cell-free DNA (mcfDNA) has gained increased acceptance as a valuable adjunct to standard-of-care testing for diagnosis of infections throughout the body. Here, we report the analytical and clinical validation of a novel application of mcfDNA sequencing, the non-invasive detection of seven common antimicrobial resistance (AMR) genetic markers in 18 important pathogens. The AMR markers include SCC, , , , and . The AMR markers were computationally linked to the pathogens detected. Analytical validation showed high reproducibility (100%), inclusivity (54 to 100%), and exclusivity (100%). Clinical accuracy was assessed with 114 unique plasma samples from patients at seven study sites with concordant culture results for target bacteria from a variety of specimen types and correlated with available phenotypic antimicrobial susceptibility test results and genotypic results. The positive percent agreement (PPA), negative percent agreement (NPA), and diagnostic yield (DY) were estimated for each AMR marker. DY was defined as the percentage of tests that yielded an actionable result of either detected or not detected. The results for the combination of SCC and for staphylococci were PPA 19/20 (95.0%), NPA 21/22 (95.4%), DY 42/60 (70.0%); for enterococci were PPA 3/3 (100%), NPA 2/2 (100%), DY 5/6 (83.3%); for gram-negative bacilli were PPA 5/6 (83.3%), NPA 29/29 (100%), DY 35/49 (71.4%); and for gram-negative bacilli were PPA 0/2 (0%), NPA: 23/23 (100%), DY 25/44 (56.8%). The addition of AMR capability to plasma mcfDNA sequencing should provide clinicians with an effective new culture-independent tool for optimization of therapy.
This manuscript is ideally suited for the Innovative Diagnostic Methods sections as it reports the analytical and clinical validation of a novel application of plasma microbial cell-free DNA sequencing for direct detection of seven selected antimicrobial resistance markers in 18 target pathogens. Clearly, it has potential clinical utility in optimizing therapy and was incorporated into the Karius test workflow in September 2023. In addition, the workflow could readily be adapted to expand the number of target bacteria and antimicrobial resistance markers as needed.
对血浆微生物无细胞游离 DNA(mcfDNA)进行测序已逐渐被视为一种有价值的辅助手段,可用于诊断全身感染。在这里,我们报告了 mcfDNA 测序的一种新应用的分析和临床验证,即无创检测 18 种重要病原体中的 7 种常见抗菌药物耐药(AMR)遗传标记物。这些 AMR 标记物包括 SCC、、、、和。AMR 标记物与检测到的病原体进行了计算关联。分析验证表明具有高重复性(100%)、包容性(54%至 100%)和排他性(100%)。临床准确性评估采用了来自七个研究地点的 114 个独特血浆样本,这些样本的目标细菌的培养结果与来自各种标本类型的目标细菌的培养结果一致,并与可用的表型抗菌药物敏感性测试结果和基因型结果相关联。对每个 AMR 标记物估计了阳性百分率(PPA)、阴性百分率(NPA)和诊断率(DY)。DY 定义为产生检测到或未检测到的可操作结果的测试百分比。SCC 和 对葡萄球菌的组合的结果为 PPA 20/20(95.0%)、NPA 22/22(95.4%)、DY 42/60(70.0%);对肠球菌的结果为 PPA 3/3(100%)、NPA 2/2(100%)、DY 5/6(83.3%);对革兰氏阴性杆菌的结果为 PPA 6/6(83.3%)、NPA 29/29(100%)、DY 35/49(71.4%);对革兰氏阴性杆菌的结果为 PPA 0/2(0%)、NPA:23/23(100%)、DY 25/44(56.8%)。将 AMR 能力添加到血浆 mcfDNA 测序中,应该为临床医生提供一种有效的新的无培养工具,用于优化治疗。
本文非常适合创新诊断方法部分,因为它报告了血浆微生物无细胞游离 DNA 测序的一种新应用的分析和临床验证,用于直接检测 18 种目标病原体中的 7 种选定的抗菌药物耐药标记物。显然,它在优化治疗方面具有潜在的临床应用价值,并于 2023 年 9 月被纳入 Karius 测试工作流程。此外,该工作流程可以很容易地适应需要扩展目标细菌和抗菌药物耐药标记物数量的情况。