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2-吡咯烷酮和琥珀酰亚胺作为γ-氨基丁酸转氨酶缺乏症的临床筛查生物标志物:抗癫痫药物影响准确诊断。

2-Pyrrolidinone and Succinimide as Clinical Screening Biomarkers for GABA-Transaminase Deficiency: Anti-seizure Medications Impact Accurate Diagnosis.

作者信息

Kennedy Adam D, Pappan Kirk L, Donti Taraka, Delgado Mauricio R, Shinawi Marwan, Pearson Toni S, Lalani Seema R, Craigen William E, Sutton V Reid, Evans Anne M, Sun Qin, Emrick Lisa T, Elsea Sarah H

机构信息

Metabolon, Inc., Morrisville, NC, United States.

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.

出版信息

Front Neurosci. 2019 May 8;13:394. doi: 10.3389/fnins.2019.00394. eCollection 2019.

DOI:10.3389/fnins.2019.00394
PMID:31133775
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6517487/
Abstract

Broad-scale untargeted biochemical phenotyping is a technology that supplements widely accepted assays, such as organic acid, amino acid, and acylcarnitine analyses typically utilized for the diagnosis of inborn errors of metabolism. In this study, we investigate the analyte changes associated with 4-aminobutyrate aminotransferase (ABAT, GABA transaminase) deficiency and treatments that affect GABA metabolism. GABA-transaminase deficiency is a rare neurodevelopmental and neurometabolic disorder caused by mutations in and resulting in accumulation of GABA in the cerebrospinal fluid (CSF). For that reason, measurement of GABA in CSF is currently the primary approach to diagnosis. GABA-transaminase deficiency results in severe developmental delay with intellectual disability, seizures, and movement disorder, and is often associated with death in childhood. Using an untargeted metabolomics platform, we analyzed EDTA plasma, urine, and CSF specimens from four individuals with GABA-transaminase deficiency to identify biomarkers by comparing the biochemical profile of individual patient samples to a pediatric-centric population cohort. Metabolomic analyses of over 1,000 clinical plasma samples revealed a rich source of biochemical information. Three out of four patients showed significantly elevated levels of the molecule 2-pyrrolidinone (-score ≥2) in plasma, and whole exome sequencing revealed variants of uncertain significance in . Additionally, these same patients also had elevated levels of succinimide in plasma, urine, and CSF and/or homocarnosine in urine and CSF. In the analysis of clinical EDTA plasma samples, the levels of succinimide and 2-pyrrolidinone showed a high level of correlation ( = 0.73), indicating impairment in GABA metabolism and further supporting the association with GABA-transaminase deficiency and the pathogenicity of the variants. Further analysis of metabolomic data across our patient population revealed the association of elevated levels of 2-pyrrolidinone with administration of vigabatrin, a commonly used anti-seizure medication and a known inhibitor of GABA-transaminase. These data indicate that anti-seizure medications may alter the biochemical and metabolomic data, potentially impacting the interpretation and diagnosis for the patient. Further, these data demonstrate the power of combining broad scale genotyping and phenotyping technologies to diagnose inherited neurometabolic disorders and support the use of metabolic phenotyping of plasma to screen for GABA-transaminase deficiency.

摘要

大规模非靶向生化表型分析是一种补充广泛接受的检测方法的技术,比如通常用于诊断先天性代谢缺陷的有机酸、氨基酸和酰基肉碱分析。在本研究中,我们调查了与4-氨基丁酸转氨酶(ABAT,GABA转氨酶)缺乏以及影响GABA代谢的治疗相关的分析物变化。GABA转氨酶缺乏是一种罕见的神经发育和神经代谢障碍,由基因突变引起,导致脑脊液(CSF)中GABA积累。因此,目前脑脊液中GABA的测量是主要的诊断方法。GABA转氨酶缺乏会导致严重的发育迟缓,伴有智力残疾、癫痫发作和运动障碍,且常与儿童期死亡相关。我们使用非靶向代谢组学平台,分析了来自四名GABA转氨酶缺乏患者的EDTA血浆、尿液和脑脊液样本,通过将个体患者样本的生化特征与以儿科为中心的人群队列进行比较来识别生物标志物。对1000多个临床血浆样本的代谢组学分析揭示了丰富的生化信息来源。四名患者中有三名血浆中分子2-吡咯烷酮水平显著升高(Z评分≥2),全外显子测序揭示了[相关基因]中意义不确定的变异。此外,这些患者血浆、尿液和脑脊液中的琥珀酰亚胺水平以及尿液和脑脊液中的高肌肽水平也升高。在临床EDTA血浆样本分析中,琥珀酰亚胺和2-吡咯烷酮水平显示出高度相关性(r = 0.73),表明GABA代谢受损,进一步支持了与GABA转氨酶缺乏的关联以及[相关基因]变异的致病性。对我们患者群体的代谢组学数据进行进一步分析发现,2-吡咯烷酮水平升高与常用抗癫痫药物氨己烯酸的使用有关,氨己烯酸是一种已知的GABA转氨酶抑制剂。这些数据表明,抗癫痫药物可能会改变生化和代谢组学数据,潜在地影响对患者的解释和诊断。此外,这些数据证明了结合大规模基因分型和表型分析技术来诊断遗传性神经代谢障碍的能力,并支持使用血浆代谢表型分析来筛查GABA转氨酶缺乏。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/9816e057658c/fnins-13-00394-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/c6d00a8ce123/fnins-13-00394-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/c6d00a8ce123/fnins-13-00394-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/0d85ecd58ef2/fnins-13-00394-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/c782ec804885/fnins-13-00394-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a0/6517487/9816e057658c/fnins-13-00394-g004.jpg

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