Jongers Bart's, Hotterbeekx An, Bielen Kenny, Vervliet Philippe, Boddaert Jan, Lammens Christine, Fransen Erik, Baggerman Geert, Covaci Adrian, Goossens Herman, Malhotra-Kumar Surbhi, Jorens Philippe G, Kumar-Singh Samir
Molecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.
Laboratory of Medical Microbiology - Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Biomark Insights. 2022 May 13;17:11772719221099131. doi: 10.1177/11772719221099131. eCollection 2022.
Ventilator-associated pneumonia (VAP) caused by is a major cause of morbidity and mortality in hospital intensive care units (ICU). Rapid identification of -derived markers in easily accessible patients' samples can enable an early detection of VAP (VAP-PA), thereby stewarding antibiotic use and improving clinical outcomes.
Metabolites were analysed using liquid chromatography-mass spectrometry (LC-MS) in prospectively collected urine samples from mechanically ventilated patients admitted to the Antwerp University Hospital ICU. Patients were followed from the start of mechanical ventilation (n = 100 patients) till the time of clinical diagnosis of VAP (n = 13). Patients (n = 8) in whom diagnosis of VAP was further confirmed by culturing respiratory samples and urine samples were studied for semi-quantitative metabolomics.
We first show that multivariate analyses highly discriminated VAP-PA from VAP-non-PA as well as from the pre-infection groups ( = .97 and .98, respectively). A further univariate analysis identified 58 metabolites that were significantly elevated or uniquely present in VAP-PA compared to the VAP-non-PA and pre-infection groups ( < .05). These comprised both a known metabolite of histidine as well as a novel nicotine metabolite. Most interestingly, we identified 3 metabolites that were not only highly upregulated for, but were also highly specific to, VAP-PA, as these metabolites were completely absent in all pre-infection timepoints and in VAP-non-PA group.
Considerable differences exist between urine metabolites in VAP-PA compared to VAP due to other bacterial aetiologies as well to non-VAP (pre-infection) timepoints. The unique urinary metabolic biomarkers we describe here, if further validated, could serve as highly specific diagnostic biomarkers of VAP-PA.
由[病原体名称未给出]引起的呼吸机相关性肺炎(VAP)是医院重症监护病房(ICU)发病和死亡的主要原因。在易于获取的患者样本中快速识别[病原体名称未给出]衍生的标志物,能够早期检测出[病原体名称未给出]所致VAP(VAP-PA),从而合理使用抗生素并改善临床结局。
采用液相色谱-质谱联用(LC-MS)分析前瞻性收集的安特卫普大学医院ICU机械通气患者的尿液样本中的代谢物。从机械通气开始(n = 100例患者)对患者进行随访,直至临床诊断为VAP(n = 13例)。对通过呼吸道样本和尿液样本培养进一步确诊为VAP的患者(n = 8例)进行半定量代谢组学研究。
我们首先表明,多变量分析能够很好地区分VAP-PA与非VAP-PA以及感染前组(分别为 = 0.97和0.98)。进一步的单变量分析确定了58种代谢物,与非VAP-PA组和感染前组相比,这些代谢物在VAP-PA中显著升高或独特存在( < .05)。其中包括一种已知的组氨酸代谢物以及一种新型尼古丁代谢物。最有趣的是,我们鉴定出3种代谢物,它们不仅在VAP-PA中高度上调,而且对VAP-PA具有高度特异性,因为这些代谢物在所有感染前时间点和非VAP-PA组中完全不存在。
与由其他细菌病因引起的VAP以及非VAP(感染前)时间点相比,VAP-PA患者尿液代谢物存在显著差异。我们在此描述的独特尿液代谢生物标志物,如果进一步验证,可作为VAP-PA的高度特异性诊断生物标志物。