The Brugada syndrome associated gene WT1 impacts on SCN5A expression and cardiac conduction
preprint
OA: closed
CC-BY-NC-ND-4.0
Abstract
Brugada syndrome (BrS) is an inherited cardiac arrhythmic disorder caused by conduction slowing primarily affecting the right ventricular (RV) outflow tract (RVOT). A recent genome-wide association study (GWAS) implicated a genomic region in chromosome 11, overlapping the transcription factor WT1 , in BrS susceptibility. Here, we investigated the role of WT1 on cardiac conduction using a heterozygous knockout mouse model ( Wt1 +/- ). Transcriptomic analysis revealed increased Scn5a predominantly in Wt1 +/- cardiomyocytes located subepicardially in the RV and RVOT without any changes in electrical properties. To unmask an effect on cardiac conduction, we performed optical mapping in a severely challenged setting offered by Scn5a haploinsufficiency, ageing, and exposure to the sodium channel blocker ajmaline and found that diminished Wt1 improved the observed slowed conduction. Examination of human single-nuclei cardiac datasets indicated a strong negative correlation between WT1 and SCN5A expression. In line with this observation, cardiac samples from patients carrying mutations in SCN5A showed increased WT1 protein abundance in histological sections, suggesting that increased WT1 , and not loss, is associated with BrS pathophysiology. By deleting the mouse orthologue of a BrS-associated noncoding region (RE) harboring a candidate regulatory element, we established that this RE controls expression of Wt1 specifically in the (sub)epicardium of the RV. Lastly, transient overexpression of WT1 in hiPSC-derived cardiomyocytes resulted in notably reduced sodium current density. Our study thereby identifies the transcription factor WT1 as a novel contributor to the pathophysiology of BrS, at least in part, through SCN5A .
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
References (76)
- doi:10.1136/heartjnl-2020-318258 via crossref
- doi:10.1038/s41569-019-0266-2 via crossref
- doi:10.1093/eurheartj/ehv316 via crossref
- doi:10.1161/circulationaha.122.061924 via crossref
- doi:10.1161/circresaha.113.301565 via crossref
- doi:10.1016/j.jacc.2021.08.010 via crossref
- doi:10.1038/32675 via crossref
- doi:10.1093/hmg/ddv036 via crossref
- doi:10.1161/circulationaha.118.035070 via crossref
- doi:10.1038/s41588-021-01007-6 via crossref
- doi:10.1038/ng.2712 via crossref
- doi:10.1016/j.cell.2016.07.012 via crossref
- doi:10.1126/science.1222794 via crossref
- doi:10.1101/gr.136127.111 via crossref
- doi:10.1161/circresaha.117.310959 via crossref
- doi:10.1161/circresaha.123.323231 via crossref
- doi:10.1038/nature07060 via crossref
- doi:10.1016/j.ydbio.2012.04.020 via crossref
- doi:10.3390/ijms22094346 via crossref
- doi:10.1126/science.abb2986 via crossref
- doi:10.3389/fcell.2021.683861 via crossref
- doi:10.1371/journal.pone.0044692 via crossref
- doi:10.1172/jci45529 via crossref
- doi:10.1096/fj.01-0986fje via crossref
- doi:10.1016/j.yjmcc.2013.10.005 via crossref
- doi:10.1038/s41586-022-04989-3 via crossref
- doi:10.1093/eurheartj/ehac544.2992 via crossref
- doi:10.1038/s41586-022-04817-8 via crossref
- doi:10.3390/jcdd10050211 via crossref
- doi:10.1093/nar/gky1038 via crossref
- doi:10.1016/j.pbiomolbio.2016.05.009 via crossref
- doi:10.1016/b978-012369454-6/50074-1 via crossref
- doi:10.1161/01.res.81.5.727 via crossref
- doi:10.1016/j.yjmcc.2020.04.021 via crossref
- doi:10.1126/scitranslmed.abf2750 via crossref
- doi:10.1002/dvg.20335 via crossref
- doi:10.1038/nbt.3745 via crossref
- doi:10.1093/nar/gkx1081 via crossref
- doi:10.1093/nar/gkv1144 via crossref
- doi:10.1038/s41467-019-12721-5 via crossref
- doi:10.1016/j.celrep.2019.04.077 via crossref
- doi:10.1161/circulationaha.118.038944 via crossref
- doi:10.1038/s41467-017-02762-z via crossref
- doi:10.1016/j.celrep.2020.107925 via crossref
- doi:10.3389/fphys.2023.1326160 via crossref
- doi:10.1038/s41467-019-12856-5 via crossref
- doi:10.1093/europace/euae153 via crossref
- doi:10.1152/ajpheart.00681.2008 via crossref
- doi:10.1016/j.molcel.2015.09.023 via crossref
- doi:10.1038/nature11082 via crossref
- doi:10.1038/nature11049 via crossref
- doi:10.1042/bj20131587 via crossref
- doi:10.1016/j.celrep.2014.11.004 via crossref
- doi:10.1016/j.molcel.2014.12.023 via crossref
- doi:10.1016/j.devcel.2011.07.014 via crossref
- doi:10.1016/0092-8674(95)90392-5 via crossref
- doi:10.1038/ncomms5903 via crossref
- doi:10.1016/j.ydbio.2011.05.668 via crossref
- doi:10.3791/4205 via crossref
- doi:10.1093/bioinformatics/bts635 via crossref
- doi:10.1093/nar/gkp045 via crossref
- doi:10.1016/j.compbiomed.2015.05.008 via crossref
- doi:10.1097/aln.0000000000002035 via crossref
- doi:10.1038/srep30967 via crossref
- doi:10.1097/fjc.0000000000000955 via crossref
- doi:10.3389/fphys.2015.00007 via crossref
- doi:10.1152/ajpheart.1997.272.5.h2164 via crossref
- doi:10.1113/jphysiol.1992.sp019265 via crossref
- doi:10.1186/1471-2105-14-7 via crossref
- doi:10.3390/cells11233915 via crossref
- doi:10.1016/j.yjmcc.2016.08.022 via crossref
- doi:10.1016/j.cels.2019.03.003 via crossref
- doi:10.1038/s41587-023-01767-y via crossref
- doi:10.1186/s13059-019-1874-1 via crossref
- doi:10.1016/j.cell.2019.11.025 via crossref
- doi:10.1161/circresaha.116.309202 via crossref
Source provenance
- crossref
- last seen: 2026-06-01T01:00:33.289606+00:00
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00
- unpaywall
- last seen: 2026-05-21T05:10:58.409756+00:00
License: CC-BY-NC-ND-4.0