Department of Chemical Engineering, Technicon, Israel Institute of Technology, Haifa 32000, Israel.
ACS Chem Neurosci. 2012 Mar 21;3(3):161-6. doi: 10.1021/cn200093r. Epub 2011 Dec 19.
The ante-mortem diagnosis of Parkinson's disease (PD) still relies on clinical symptoms. Biomarkers could in principle be used for the early detection of PD-related neuronal damage, but no validated, inexpensive, and simple biomarkers are available yet. Here we report on the breath-print of presymptomatic PD in rats, using a model with 50% lesion of dopaminergic neurons in substantia nigra. Exhaled breath was collected from 19 rats (10 lesioned and 9 sham operated) and analyzed using organically functionalized carbon nanotube sensors. Discriminant factor analysis detected statistically significant differences between the study groups and a classification accuracy of 90% was achieved using leave-one-out cross-validation. The sensors' breath-print was supported by determining statistically significant differences of several volatile organic compounds in the breath of the lesioned rats and the sham operated rats, using gas chromatography combined with mass spectrometry. The observed breath-print shows potential for cost-effective, fast, and reliable early PD detection.
帕金森病 (PD) 的生前诊断仍然依赖于临床症状。生物标志物原则上可用于早期发现与 PD 相关的神经元损伤,但目前尚无经过验证、价格低廉且简单的生物标志物。在这里,我们报告了使用黑质中多巴胺能神经元 50%损伤的大鼠模型,对有症状前 PD 的呼吸特征进行了研究。从 19 只大鼠(10 只损伤,9 只假手术)中收集呼气,并使用有机功能化碳纳米管传感器进行分析。判别因子分析检测到研究组之间存在统计学上的显著差异,使用留一法交叉验证,分类准确率达到 90%。使用气相色谱-质谱联用仪测定损伤大鼠和假手术大鼠呼气中几种挥发性有机化合物的统计学显著差异,支持传感器的呼吸特征。所观察到的呼吸特征具有成本效益高、快速和可靠的早期 PD 检测潜力。