Ezgu Fatih, Çiftci Bahattin, Topçu Burcu, Adıyaman Gülcan, Gökmenoğlu Hatice, Küçükçongar Aynur, Kasapkara Çiğdem, Biberoğlu Gürsel, Tümer Leyla, Hasanoğlu Alev
Faculty of Medicine, Department and Laboratory of Pediatric Metabolic Disorders, Gazi University, Ankara, Turkey,
Metab Brain Dis. 2014 Mar;29(1):211-3. doi: 10.1007/s11011-014-9482-y. Epub 2014 Jan 11.
Early diagnosis for metabolic encephalopathy caused by inborn errors of metabolism is very important for the initiation of early treatment and also for prevention of sequela. Metabolic encephalopathy in the form of seizures can result from many inborn errors of metabolism and considering the large number of disorders causing metabolic encephalopathy, enzyme assays or conventional molecular tests are expensive and take considerably long period of time which results in delayed treatment. In our center we have used next generation DNA sequencing technology as an initial diagnostic test to look for about 700 disorders at the same time for the etiologic diagnosis of a 4-month-old female infant suffering from intractable seizures. The patient was found to have glycine encephalopathy resulting from a previously defined mutation in the GLDC gene. The diagnostic result was obtained much sooner than other conventional investigations. Up to our knowledge, this would be the first case with glycine encephalopathy in the literature who was approached by this novel panel method initially. Although currently, classical evaluation methods such as physical examination, biochemical and conventional molecular investigations are still accepted as the gold standards to clarify the etiology of the metabolic encephalopathy it is obvious that next generation sequence analysis will play a very significant role in the future.
对先天性代谢缺陷所致代谢性脑病进行早期诊断,对于尽早开始治疗以及预防后遗症都非常重要。癫痫形式的代谢性脑病可由多种先天性代谢缺陷引起,鉴于导致代谢性脑病的疾病种类繁多,酶检测或传统分子检测费用高昂且耗时颇长,会导致治疗延误。在我们中心,我们已将新一代DNA测序技术用作初始诊断测试,以同时查找约700种疾病,用于对一名患有难治性癫痫的4个月大女婴进行病因诊断。该患者被发现患有甘氨酸脑病,由GLDC基因中先前确定的突变所致。诊断结果比其他传统检查获得得要早得多。据我们所知,这将是文献中首例最初通过这种新型检测方法确诊的甘氨酸脑病病例。虽然目前,诸如体格检查、生化及传统分子检查等经典评估方法仍被视为明确代谢性脑病病因的金标准,但很明显,新一代测序分析在未来将发挥非常重要的作用。