Lalwani Ashna M, Yilmaz Ali, Bisgin Halil, Ugur Zafer, Akyol Sumeyya, Graham Stewart Francis
Department of Biochemistry and Molecular Biology, Hamilton College, 198 College Hill Rd, Clinton, NY 13323, USA.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Metabolites. 2020 Jun 23;10(6):261. doi: 10.3390/metabo10060261.
Epilepsy not-otherwise-specified (ENOS) is one of the most common causes of chronic disorders impacting human health, with complex multifactorial etiology and clinical presentation. Understanding the metabolic processes associated with the disorder may aid in the discovery of preventive and therapeutic measures. Post-mortem brain samples were harvested from the frontal cortex (BA8/46) of people diagnosed with ENOS cases ( = 15) and age- and sex-matched control subjects ( = 15). We employed a targeted metabolomics approach using a combination of proton nuclear magnetic resonance (H-NMR) and direct injection/liquid chromatography tandem mass spectrometry (DI/LC-MS/MS). We accurately identified and quantified 72 metabolites using H-NMR and 159 using DI/LC-MS/MS. Among the 212 detected metabolites, 14 showed significant concentration changes between ENOS cases and controls ( < 0.05; < 0.05). Of these, adenosine monophosphate and -acetylcholine were the most commonly selected metabolites used to develop predictive models capable of discriminating between ENOS and unaffected controls. Metabolomic set enrichment analysis identified ethanol degradation, butyrate metabolism and the mitochondrial beta-oxidation of fatty acids as the top three significantly perturbed metabolic pathways. We report, for the first time, the metabolomic profiling of postmortem brain tissue form patients who died from epilepsy. These findings can potentially expand upon the complex etiopathogenesis and help identify key predictive biomarkers of ENOS.
未另行指定的癫痫(ENOS)是影响人类健康的慢性疾病的最常见病因之一,其病因和临床表现复杂且具有多因素性。了解与该疾病相关的代谢过程可能有助于发现预防和治疗措施。从被诊断为ENOS病例的患者(n = 15)以及年龄和性别匹配的对照受试者(n = 15)的额叶皮质(BA8/46)中采集死后脑组织样本。我们采用了靶向代谢组学方法,结合质子核磁共振(H-NMR)和直接进样/液相色谱串联质谱(DI/LC-MS/MS)。我们使用H-NMR准确鉴定和定量了72种代谢物,使用DI/LC-MS/MS鉴定和定量了159种代谢物。在检测到的212种代谢物中,有14种在ENOS病例和对照之间显示出显著的浓度变化(P < 0.05;FDR < 0.05)。其中,单磷酸腺苷和γ-乙酰胆碱是最常被选用于建立能够区分ENOS和未受影响对照的预测模型的代谢物。代谢组集富集分析确定乙醇降解、丁酸盐代谢和脂肪酸的线粒体β-氧化为受干扰最显著的前三条代谢途径。我们首次报告了死于癫痫患者的死后脑组织的代谢组学特征。这些发现可能会扩展对复杂病因发病机制的认识,并有助于识别ENOS的关键预测生物标志物。