Sarkar Depanjan, Sinclair Eleanor, Lim Sze Hway, Walton-Doyle Caitlin, Jafri Kaneez, Milne Joy, Vissers Johannes P C, Richardson Keith, Trivedi Drupad K, Silverdale Monty, Barran Perdita
Manchester Institute of Biotechnology, School of Chemistry, The University of Manchester, Princess Street, Manchester M1 7DN, UK.
Department of Neurology, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9NQ, UK.
JACS Au. 2022 Sep 7;2(9):2013-2022. doi: 10.1021/jacsau.2c00300. eCollection 2022 Sep 26.
Parkinson's disease (PD) is the second most common neurodegenerative disorder, and identification of robust biomarkers to complement clinical diagnosis will accelerate treatment options. Here, we demonstrate the use of direct infusion of sebum from skin swabs using paper spray ionization coupled with ion mobility mass spectrometry (PS-IM-MS) to determine the regulation of molecular classes of lipids in sebum that are diagnostic of PD. A PS-IM-MS method for sebum samples that takes 3 min per swab was developed and optimized. The method was applied to skin swabs collected from 150 people and elucidates ∼4200 features from each subject, which were independently analyzed. The data included high molecular weight lipids (>600 Da) that differ significantly in the sebum of people with PD. Putative metabolite annotations of several lipid classes, predominantly triglycerides and larger acyl glycerides, were obtained using accurate mass, tandem mass spectrometry, and collision cross section measurements.
帕金森病(PD)是第二常见的神经退行性疾病,识别可靠的生物标志物以辅助临床诊断将加速治疗方案的发展。在此,我们展示了使用纸喷雾电离结合离子淌度质谱(PS-IM-MS)直接注入皮肤拭子中的皮脂,以确定皮脂中可用于诊断PD的脂质分子类别调控情况。开发并优化了一种针对皮脂样本的PS-IM-MS方法,每个拭子检测时间为3分钟。该方法应用于从150人收集的皮肤拭子,每个受试者可解析出约4200个特征,并进行独立分析。数据包括帕金森病患者皮脂中显著不同的高分子量脂质(>600 Da)。使用精确质量、串联质谱和碰撞截面测量,获得了几种脂质类别的推定代谢物注释,主要是甘油三酯和较大的酰基甘油酯。