Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
Genome British Columbia proteomics center, University of Victoria, Victoria, British Columbia, Canada.
J Clin Microbiol. 2024 Oct 16;62(10):e0081924. doi: 10.1128/jcm.00819-24. Epub 2024 Sep 16.
Urinary tract infections (UTIs) pose a significant challenge to human health. Accurate and timely detection remains pivotal for effective intervention. Current urine culture techniques, while essential, often encounter challenges where urinalysis yields positive results, but subsequent culture testing produces a negative result. This highlights potential discrepancies between the two methods and emphasizes the need for improved correlation in urinary tract infection (UTI) detection. Employing advanced lipidomics techniques, we deployed the fast lipid analysis technique (FLAT) on a clinical cohort suspected of having UTIs. Lipid fingerprinting by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), directly from urine samples without growth, correctly identified the common uropathogens within a 1 hour timeframe when compared to urine culture. FLAT analysis also identified urine samples without culturable pathogens (negative UTIs) with 99% microbial identification (ID) agreement, whereas urinalysis showed 37% ID agreement with the gold standard urine culture. In 402 urine samples suspected for UTI from outpatients, FLAT assay rapidly ruled out negative urines without the need for culture in 77% of all cases. The potential impact of this innovative lipidomic-based approach extends beyond conventional diagnostic limitations, offering new avenues for early detection and targeted management of urinary tract infections. This research marks a paradigm shift in urine culture methodology, paving the way for improved clinical outcomes and public health interventions.
This study employs a lipidomics-based method that promises to enhance the accuracy and reliability of urine culture diagnostics within 1 hour of sample collection. Our findings underscore the potential of lipidomics as a valuable tool in identifying and characterizing microbial populations present in urine samples and efficiently rule out negative urines, ultimately leading to improved patient care and management of urinary tract infections.
尿路感染 (UTIs) 对人类健康构成重大挑战。准确和及时的检测仍然是有效干预的关键。目前的尿液培养技术虽然必不可少，但在尿液分析结果呈阳性，但随后的培养测试结果呈阴性时，往往会遇到挑战。这突出了两种方法之间的潜在差异，并强调需要提高尿路感染 (UTI) 检测的相关性。我们采用先进的脂质组学技术，对疑似患有尿路感染的临床队列使用快速脂质分析技术 (FLAT)。基质辅助激光解吸/电离飞行时间质谱 (MALDI-TOF MS) 的脂质指纹图谱，直接从无生长的尿液样本中进行分析，与尿液培养相比，在 1 小时内正确识别常见的尿路病原体。FLAT 分析还可以识别无培养病原体的尿液样本（阴性 UTI），微生物鉴定 (ID) 准确率为 99%，而尿液分析与金标准尿液培养的 ID 准确率为 37%。在 402 份来自门诊疑似 UTI 的尿液样本中，FLAT 检测法在所有病例中有 77%的情况下无需培养即可快速排除阴性尿液。这种基于脂质组学的创新方法的潜在影响超出了传统诊断的局限性，为尿路感染的早期检测和靶向管理提供了新途径。这项研究标志着尿液培养方法学的范式转变，为改善临床结果和公共卫生干预铺平了道路。
本研究采用了一种基于脂质组学的方法，有望在样本采集后 1 小时内提高尿液培养诊断的准确性和可靠性。我们的研究结果强调了脂质组学作为一种有价值的工具，可用于鉴定和描述尿液样本中存在的微生物种群，并有效地排除阴性尿液，最终改善患者的护理和尿路感染的管理。
