Trefz Phillip, Schmidt Sibylle C, Sukul Pritam, Schubert Jochen K, Miekisch Wolfram, Fischer Dagmar-Christiane
Department of Anaesthesiology and Intensive Care Medicine, Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Rostock University Medical Centre, 18057 Rostock, Germany.
Department of Paediatrics, Rostock University Medical Centre, 18057 Rostock, Germany.
J Clin Med. 2019 Oct 26;8(11):1797. doi: 10.3390/jcm8111797.
An analysis of exhaled volatile organic compounds (VOC) may deliver systemic information quicker than available invasive techniques. Metabolic aberrations in pediatric type 1 diabetes (T1DM) are of high clinical importance and could be addressed via breathomics. Real-time breath analysis was combined with continuous glucose monitoring (CGM) and blood tests in children suffering from T1DM and age-matched healthy controls in a highly standardized setting. CGM and breath-resolved VOC analysis were performed every 5 minutes for 9 hours and blood was sampled at pre-defined time points. Per participant ( = 44) food intake and physical activity were identical and a total of 22 blood samples and 93 minutes of breath samples were investigated. The inter-individual variability of glucose, insulin, glucagon, leptin, and soluble leptin receptor relative to food intake differed distinctly between patients and controls. In T1DM patients, the exhaled amounts of acetone, 2-propanol, and pentanal correlated to glucose concentrations. Of note, the strength of these correlations strongly depended on the interval between food intake and breath sampling. Our data suggests that metabolic adaptation through postprandial hyperglycemia and related oxidative stress is immediately reflected in exhaled breath VOC concentrations. Clinical translations of our findings may enable point-of-care applicability of online breath analysis towards personalized medicine.
对呼出挥发性有机化合物(VOC)的分析可能比现有的侵入性技术更快地提供全身信息。1型糖尿病(T1DM)患儿的代谢异常具有高度临床重要性,可通过呼吸组学进行研究。在高度标准化的环境中,对患有T1DM的儿童和年龄匹配的健康对照者进行实时呼吸分析,并结合连续血糖监测(CGM)和血液检测。每5分钟进行一次CGM和呼吸分辨VOC分析,持续9小时,并在预先定义的时间点采集血液样本。每位参与者(n = 44)的食物摄入量和身体活动相同,共研究了22份血液样本和93分钟的呼吸样本。患者和对照组之间,葡萄糖、胰岛素、胰高血糖素、瘦素和可溶性瘦素受体相对于食物摄入量的个体间变异性明显不同。在T1DM患者中,呼出的丙酮、2-丙醇和戊醛量与血糖浓度相关。值得注意的是,这些相关性的强度很大程度上取决于食物摄入和呼吸采样之间的时间间隔。我们的数据表明,餐后高血糖和相关氧化应激引起的代谢适应立即反映在呼出的呼吸VOC浓度中。我们研究结果的临床转化可能使在线呼吸分析在个性化医疗中实现即时护理应用。