Cargando…
Functional correlates of clinical phenotype and severity in recurrent SCN2A variants
In SCN2A-related disorders, there is an urgent demand to establish efficient methods for determining the gain- (GoF) or loss-of-function (LoF) character of variants, to identify suitable candidates for precision therapies. Here we classify clinical phenotypes of 179 individuals with 38 recurrent SCN...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151917/ https://www.ncbi.nlm.nih.gov/pubmed/35637276 http://dx.doi.org/10.1038/s42003-022-03454-1 |
_version_ | 1784717551382560768 |
---|---|
author | Berecki, Géza Howell, Katherine B. Heighway, Jacqueline Olivier, Nelson Rodda, Jill Overmars, Isabella Vlaskamp, Danique R. M. Ware, Tyson L. Ardern-Holmes, Simone Lesca, Gaetan Alber, Michael Veggiotti, Pierangelo Scheffer, Ingrid E. Berkovic, Samuel F. Wolff, Markus Petrou, Steven |
author_facet | Berecki, Géza Howell, Katherine B. Heighway, Jacqueline Olivier, Nelson Rodda, Jill Overmars, Isabella Vlaskamp, Danique R. M. Ware, Tyson L. Ardern-Holmes, Simone Lesca, Gaetan Alber, Michael Veggiotti, Pierangelo Scheffer, Ingrid E. Berkovic, Samuel F. Wolff, Markus Petrou, Steven |
author_sort | Berecki, Géza |
collection | PubMed |
description | In SCN2A-related disorders, there is an urgent demand to establish efficient methods for determining the gain- (GoF) or loss-of-function (LoF) character of variants, to identify suitable candidates for precision therapies. Here we classify clinical phenotypes of 179 individuals with 38 recurrent SCN2A variants as early-infantile or later-onset epilepsy, or intellectual disability/autism spectrum disorder (ID/ASD) and assess the functional impact of 13 variants using dynamic action potential clamp (DAPC) and voltage clamp. Results show that 36/38 variants are associated with only one phenotypic group (30 early-infantile, 5 later-onset, 1 ID/ASD). Unexpectedly, we revealed major differences in outcome severity between individuals with the same variant for 40% of early-infantile variants studied. DAPC was superior to voltage clamp in predicting the impact of mutations on neuronal excitability and confirmed GoF produces early-infantile phenotypes and LoF later-onset phenotypes. For one early-infantile variant, the co-expression of the α(1) and β(2) subunits of the Na(v)1.2 channel was needed to unveil functional impact, confirming the prediction of 3D molecular modeling. Neither DAPC nor voltage clamp reliably predicted phenotypic severity of early-infantile variants. Genotype, phenotypic group and DAPC are accurate predictors of the biophysical impact of SCN2A variants, but other approaches are needed to predict severity. |
format | Online Article Text |
id | pubmed-9151917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91519172022-06-01 Functional correlates of clinical phenotype and severity in recurrent SCN2A variants Berecki, Géza Howell, Katherine B. Heighway, Jacqueline Olivier, Nelson Rodda, Jill Overmars, Isabella Vlaskamp, Danique R. M. Ware, Tyson L. Ardern-Holmes, Simone Lesca, Gaetan Alber, Michael Veggiotti, Pierangelo Scheffer, Ingrid E. Berkovic, Samuel F. Wolff, Markus Petrou, Steven Commun Biol Article In SCN2A-related disorders, there is an urgent demand to establish efficient methods for determining the gain- (GoF) or loss-of-function (LoF) character of variants, to identify suitable candidates for precision therapies. Here we classify clinical phenotypes of 179 individuals with 38 recurrent SCN2A variants as early-infantile or later-onset epilepsy, or intellectual disability/autism spectrum disorder (ID/ASD) and assess the functional impact of 13 variants using dynamic action potential clamp (DAPC) and voltage clamp. Results show that 36/38 variants are associated with only one phenotypic group (30 early-infantile, 5 later-onset, 1 ID/ASD). Unexpectedly, we revealed major differences in outcome severity between individuals with the same variant for 40% of early-infantile variants studied. DAPC was superior to voltage clamp in predicting the impact of mutations on neuronal excitability and confirmed GoF produces early-infantile phenotypes and LoF later-onset phenotypes. For one early-infantile variant, the co-expression of the α(1) and β(2) subunits of the Na(v)1.2 channel was needed to unveil functional impact, confirming the prediction of 3D molecular modeling. Neither DAPC nor voltage clamp reliably predicted phenotypic severity of early-infantile variants. Genotype, phenotypic group and DAPC are accurate predictors of the biophysical impact of SCN2A variants, but other approaches are needed to predict severity. Nature Publishing Group UK 2022-05-30 /pmc/articles/PMC9151917/ /pubmed/35637276 http://dx.doi.org/10.1038/s42003-022-03454-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Berecki, Géza Howell, Katherine B. Heighway, Jacqueline Olivier, Nelson Rodda, Jill Overmars, Isabella Vlaskamp, Danique R. M. Ware, Tyson L. Ardern-Holmes, Simone Lesca, Gaetan Alber, Michael Veggiotti, Pierangelo Scheffer, Ingrid E. Berkovic, Samuel F. Wolff, Markus Petrou, Steven Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title | Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title_full | Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title_fullStr | Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title_full_unstemmed | Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title_short | Functional correlates of clinical phenotype and severity in recurrent SCN2A variants |
title_sort | functional correlates of clinical phenotype and severity in recurrent scn2a variants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151917/ https://www.ncbi.nlm.nih.gov/pubmed/35637276 http://dx.doi.org/10.1038/s42003-022-03454-1 |
work_keys_str_mv | AT bereckigeza functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT howellkatherineb functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT heighwayjacqueline functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT oliviernelson functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT roddajill functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT overmarsisabella functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT vlaskampdaniquerm functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT waretysonl functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT ardernholmessimone functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT lescagaetan functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT albermichael functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT veggiottipierangelo functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT schefferingride functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT berkovicsamuelf functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT wolffmarkus functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants AT petrousteven functionalcorrelatesofclinicalphenotypeandseverityinrecurrentscn2avariants |