Maiti Kiran Sankar, Roy Susmita, Zenner Christian, J Hall Lindsay, Hauer Jürgen, Sroka Ronald
TUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.
Laser-Forschungslabor, LIFE-Center, LMU University Hospital, LMU Munich, 82152 Planegg, Germany.
Anal Chem. 2025 Oct 7;97(39):21449-21458. doi: 10.1021/acs.analchem.5c03269. Epub 2025 Sep 25.
Urinary tract infections (UTIs) are among the most common bacterial infections, typically begin in the urethra but capable of rapidly progressing to the bladder and kidneys. Without timely intervention, these infections can lead to renal failure and, in severe cases, multiorgan failure. Current diagnostic methods for identifying bacterial pathogens are often time-consuming, highlighting the need for faster, more efficient detection techniques. Metabolite-based bacterial diagnostics offer a promising alternative, enabling minimally or noninvasive detection without the need for bacterial culture─provided that the metabolic profiles of individual bacterial strains are well characterized. This study investigates ten bacterial species associated with UTIs through the analysis of their volatile metabolites using Fourier-transform infrared (FT-IR) spectroscopy. Numerous spectral features corresponding to distinct metabolites were identified. Within a multidimensional metabolic space, each bacterial strain exhibited a unique volatile metabolite profile, serving as the basis for accurate identification. This approach lays the groundwork for future diagnostic platforms in which FT-IR spectroscopy could serve as a rapid, culture-free analytical tool to detect bacterial pathogens directly from exhaled breath and/or urine.
尿路感染(UTIs)是最常见的细菌感染之一,通常始于尿道,但能够迅速蔓延至膀胱和肾脏。如果不及时干预,这些感染会导致肾衰竭,严重时会导致多器官衰竭。目前用于识别细菌病原体的诊断方法通常很耗时,这凸显了对更快、更高效检测技术的需求。基于代谢物的细菌诊断提供了一种有前景的替代方法,能够实现微创或无创检测,无需进行细菌培养——前提是各个细菌菌株的代谢谱得到充分表征。本研究通过使用傅里叶变换红外(FT-IR)光谱分析与UTIs相关的十种细菌的挥发性代谢物来进行调查。鉴定出了许多与不同代谢物相对应的光谱特征。在多维代谢空间中,每个细菌菌株都表现出独特的挥发性代谢物谱,这为准确识别奠定了基础。这种方法为未来的诊断平台奠定了基础,在该平台中,FT-IR光谱可以作为一种快速、无需培养的分析工具,直接从呼出的气体和/或尿液中检测细菌病原体。