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

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...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in neuroscience Vol. 13; p. 394
Main Authors 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
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 08.05.2019
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
This article was submitted to Neurogenomics, a section of the journal Frontiers in Neuroscience
Adam D. Kennedy, Baebies, Inc., Morrisville, NC, United States; Taraka Donti, PerkinElmer Genetics, Pittsburgh, PA, United States
Edited by: Cristian Bonvicini, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Italy
Reviewed by: Gerarda Cappuccio, University of Naples Federico II, Italy; Claudia Saraceno, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Italy
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2019.00394