Literature DB >> 30006695

Contemporary scope of inborn errors of metabolism involving epilepsy or seizures.

Birutė Tumienė1,2, Borut Peterlin3, Aleš Maver3, Algirdas Utkus4.   

Abstract

Many inborn errors of metabolism may present with epilepsy or seizures, however, current scope of these diseases is unknown. Due to available precision medicine approaches in many inborn errors of metabolism and sophisticated traditional diagnostics, this group of disorders is of special relevance to clinicians. Besides, as current treatment is challenging and unsuccessful in more than 30% of all epilepsy patients, these diseases may provide valuable models for ictogenesis and epileptogenesis studies and potentially pave the ways to identification of novel treatments. The aim of this study was to elucidate genetic architecture of inborn errors of metabolism involving epilepsy or seizures and to evaluate their diagnostic approaches. After extensive search, 880 human genes were identified with a considerable part, 373 genes (42%), associated with inborn errors of metabolism. The most numerous group comprised disorders of energy metabolism (115, 31% of all inborn errors of metabolism). A substantial number of these diseases (26%, 97/373) have established specific treatments, therefore timely diagnosis comes as an obligation. Highly heterogenous, overlapping and non-specific phenotypes in most of inborn errors of metabolism presenting with epilepsy or seizures usually preclude phenotype-driven diagnostics. Besides, as traditional diagnostics involves a range of specialized metabolic tests with low diagnostic yields and is generally inefficient and lengthy, next-generation sequencing-based methods were proposed as a cost-efficient one-step way to shorten "diagnostic odyssey". Extensive list of 373 epilepsy- or seizures-associated inborn errors of metabolism genes may be of value in development of gene panels and as a tool for variants' filtration.

Entities:  

Keywords:  Diagnostics; Inherited metabolic disease; Metabolic epilepsy; Next-generation sequencing

Mesh:

Year:  2018        PMID: 30006695     DOI: 10.1007/s11011-018-0288-1

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.584


  32 in total

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Authors:  Divya S Khurana; Ignacio Valencia; Michael J Goldenthal; Agustín Legido
Journal:  Semin Pediatr Neurol       Date:  2013-10-09       Impact factor: 1.636

2.  Targeted next generation sequencing as a diagnostic tool in epileptic disorders.

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Journal:  Epilepsia       Date:  2012-05-21       Impact factor: 5.864

Review 3.  Inborn errors of metabolism causing epilepsy.

Authors:  Shamima Rahman; Emma J Footitt; Sophia Varadkar; Peter T Clayton
Journal:  Dev Med Child Neurol       Date:  2012-09-24       Impact factor: 5.449

4.  Effectiveness of exome and genome sequencing guided by acuity of illness for diagnosis of neurodevelopmental disorders.

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Journal:  Sci Transl Med       Date:  2014-12-03       Impact factor: 17.956

Review 5.  Do seizures and epileptic activity worsen epilepsy and deteriorate cognitive function?

Authors:  Giuliano Avanzini; Antoine Depaulis; Alberto Tassinari; Marco de Curtis
Journal:  Epilepsia       Date:  2013-11       Impact factor: 5.864

Review 6.  A roadmap for precision medicine in the epilepsies.

Authors: 
Journal:  Lancet Neurol       Date:  2015-09-20       Impact factor: 44.182

Review 7.  Occasional seizures, epilepsy, and inborn errors of metabolism.

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Journal:  Lancet Neurol       Date:  2014-07       Impact factor: 44.182

8.  Describing the genetic architecture of epilepsy through heritability analysis.

Authors:  Doug Speed; Terence J O'Brien; Aarno Palotie; Kirill Shkura; Anthony G Marson; David J Balding; Michael R Johnson
Journal:  Brain       Date:  2014-07-26       Impact factor: 13.501

9.  A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders.

Authors:  Zornitza Stark; Tiong Y Tan; Belinda Chong; Gemma R Brett; Patrick Yap; Maie Walsh; Alison Yeung; Heidi Peters; Dylan Mordaunt; Shannon Cowie; David J Amor; Ravi Savarirayan; George McGillivray; Lilian Downie; Paul G Ekert; Christiane Theda; Paul A James; Joy Yaplito-Lee; Monique M Ryan; Richard J Leventer; Emma Creed; Ivan Macciocca; Katrina M Bell; Alicia Oshlack; Simon Sadedin; Peter Georgeson; Charlotte Anderson; Natalie Thorne; Clara Gaff; Susan M White
Journal:  Genet Med       Date:  2016-03-03       Impact factor: 8.822

10.  Effectiveness of whole-exome sequencing and costs of the traditional diagnostic trajectory in children with intellectual disability.

Authors:  Glen R Monroe; Gerardus W Frederix; Sanne M C Savelberg; Tamar I de Vries; Karen J Duran; Jasper J van der Smagt; Paulien A Terhal; Peter M van Hasselt; Hester Y Kroes; Nanda M Verhoeven-Duif; Isaäc J Nijman; Ellen C Carbo; Koen L van Gassen; Nine V Knoers; Anke M Hövels; Mieke M van Haelst; Gepke Visser; Gijs van Haaften
Journal:  Genet Med       Date:  2016-02-04       Impact factor: 8.822

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  4 in total

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Authors:  Jaya Kumar; Amro Solaiman; Pasuk Mahakkanukrauh; Rashidi Mohamed; Srijit Das
Journal:  Front Pharmacol       Date:  2018-09-27       Impact factor: 5.810

2.  An Approach to Neurometabolic Epilepsy in Children with an Underlying Neurometabolic Disorder.

Authors:  Parvaneh Karimzadeh; Parinaz Habibi
Journal:  Iran J Child Neurol       Date:  2020

Review 3.  Multidisciplinary Care of Patients with Inherited Metabolic Diseases and Epilepsy: Current Perspectives.

Authors:  Birutė Tumienė; Mireia Del Toro Riera; Jurgita Grikiniene; Rūta Samaitiene-Aleknienė; Rūta Praninskienė; Ahmad Ardeshir Monavari; Jolanta Sykut-Cegielska
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Review 4.  2022 Overview of Metabolic Epilepsies.

Authors:  Birute Tumiene; Carlos R Ferreira; Clara D M van Karnebeek
Journal:  Genes (Basel)       Date:  2022-03-12       Impact factor: 4.096

  4 in total

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