Margherita Torchio

Ms. Margherita Torchio

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2013 in Nature Genetics
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CBConnie Bezzina
Connie Bezzina
JBJulien Barc
Julien Barc
YMYuka Mizusawa
Yuka Mizusawa
CRCarol Ann Remme
Carol Ann Remme
JGJean-Baptiste Gourraud
Jean-Baptiste Gourraud
RRRichard Redon
Richard Redon

1 October 2012 in JACC
Verified
Journal Article
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Lia CrottiLia Crotti
Lia Crotti
CMCherisse A. Marcou
Cherisse A. Marcou
DTDavid J. Tester
David J. Tester
Silvia CastellettiSilvia Castelletti
Silvia Castelletti
JGJohn R. Giudicessi
John R. Giudicessi
MAMichael J. Ackerman
Michael J. Ackerman

1 December 2013 in Heart Rhythm
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Journal Article
Closed access
JHJessica A. Hennessey
Jessica A. Hennessey
CMCherisse A. Marcou
Cherisse A. Marcou
CWChuan Wang
Chuan Wang
EWEric Q. Wei
Eric Q. Wei
CWChaojian Wang
Chaojian Wang
GPGeoffrey S. Pitt
Geoffrey S. Pitt

17 February 2015 in Cardiovascular Research
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EBElijah R. Behr
Elijah R. Behr
ESEleonora Savio-Galimberti
Eleonora Savio-Galimberti
JBJulien Barc
Julien Barc
AHAnders G. Holst
Anders G. Holst
EPEvmorfia Petropoulou
Evmorfia Petropoulou
Yalda JamshidiYalda Jamshidi
Yalda Jamshidi
Brugada syndrome (BrS) remains genetically heterogeneous and is associated with slowed cardiac conduction. We aimed to identify genetic variation in BrS cases at loci associated with QRS duration. A multi-centre study sequenced seven candidate genes (SCN10A, HAND1, PLN, CASQ2, TKT, TBX3, and TBX5) in 156 Caucasian SCN5A mutation-negative BrS patients (80% male; mean age 48) with symptoms (64%) and/or a family history of sudden death (47%) or BrS (18%). Forty-nine variants were identified: 18 were rare (MAF <1%) and non-synonymous; and 11/18 (61.1%), mostly in SCN10A, were predicted as pathogenic using multiple bioinformatics tools. Allele frequencies were compared with the Exome Sequencing and UK10K Projects. SKAT methods tested rare variation in SCN10A finding no statistically significant difference between cases and controls. Co-segregation analysis was possible for four of seven probands carrying a novel pathogenic variant. Only one pedigree (I671V/G1299A in SCN10A) showed co-segregation. The SCN10A SNP V1073 was, however, associated strongly with BrS [66.9 vs. 40.1% (UK10K) OR (95% CI) = 3.02 (2.35–3.87), P = 8.07 × 10–19]. Voltage-clamp experiments for NaV1.8 were performed for SCN10A common variants V1073, A1073, and rare variants of interest: A200V and I671V. V1073, A200V and I671V, demonstrated significant reductions in peak INa compared with ancestral allele A1073 (rs6795970). Rare variants in the screened QRS-associated genes (including SCN10A) are not responsible for a significant proportion of SCN5A mutation negative BrS. The common SNP SCN10A V1073 was strongly associated with BrS and demonstrated loss of NaV1.8 function, as did rare variants in isolated patients.

1 December 2020 in Circulation: Genomic and Precision Medicine
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YWYanushi D. Wijeyeratne
Yanushi D. Wijeyeratne
MTMichael WT Tanck
Michael WT Tanck
YMYuka Mizusawa
Yuka Mizusawa
VBVelislav Batchvarov
Velislav Batchvarov
JBJulien Barc
Julien Barc
EBElijah R. Behr
Elijah R. Behr
Background: Brugada syndrome (BrS) is characterized by the type 1 Brugada ECG pattern. Pathogenic rare variants in SCN5A (mutations) are identified in 20% of BrS families in whom incomplete penetrance and genotype-negative phenotype-positive individuals are observed. E1784K- SCN5A is the most common SCN5A mutation identified. We determined the association of a BrS genetic risk score (BrS-GRS) and SCN5A mutation type on BrS phenotype in BrS families with SCN5A mutations. Methods: Subjects with a spontaneous type 1 pattern or positive/negative drug challenge from cohorts harboring SCN5A mutations were recruited from 16 centers (n=312). Single nucleotide polymorphisms previously associated with BrS at genome-wide significance were studied in both cohorts: rs11708996, rs10428132, and rs9388451. An additive linear genetic model for the BrS-GRS was assumed (6 single nucleotide polymorphism risk alleles). Results: In the total population (n=312), BrS-GRS ≥4 risk alleles yielded an odds ratio of 4.15 for BrS phenotype ([95% CI, 1.45–11.85]; P =0.0078). Among SCN5A -positive individuals (n=258), BrS-GRS ≥4 risk alleles yielded an odds ratio of 2.35 ([95% CI, 0.89–6.22]; P =0.0846). In SCN5A -negative relatives (n=54), BrS-GRS ≥4 alleles yielded an odds ratio of 22.29 ([95% CI, 1.84–269.30]; P =0.0146). Among E1784K- SCN5A positive family members (n=79), hosting ≥4 risk alleles gave an odds ratio=5.12 ([95% CI, 1.93–13.62]; P =0.0011). Conclusions: Common genetic variation is associated with variable expressivity of BrS phenotype in SCN5A families, explaining in part incomplete penetrance and genotype-negative phenotype-positive individuals. SCN5A mutation genotype and a BrS-GRS associate with BrS phenotype, but the strength of association varies according to presence of a SCN5A mutation and severity of loss of function.

1 August 2014 in Circulation Research
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NBNicole J. Boczek
Nicole J. Boczek
DYDan Ye
Dan Ye
EJEric K. Johnson
Eric K. Johnson
WWWei Wang
Wei Wang
Lia CrottiLia Crotti
Lia Crotti
MAMichael J. Ackerman
Michael J. Ackerman
Rationale : Semaphorin 3A ( SEMA3A )-encoded semaphorin is a chemorepellent that disrupts neural patterning in the nervous and cardiac systems. In addition, SEMA3A has an amino acid motif that is analogous to hanatoxin, an inhibitor of voltage-gated K + channels. SEMA3A -knockout mice exhibit an abnormal ECG pattern and are prone to ventricular arrhythmias and sudden cardiac death. Objective : Our aim was to determine whether SEMA3A is a naturally occurring protein inhibitor of K v 4.3 (I to ) channels and its potential contribution to Brugada syndrome. Methods and Results : K v 4.3, Na v 1.5, Ca v 1.2, or K v 4.2 were coexpressed or perfused with SEMA3A in HEK293 cells, and electrophysiological properties were examined via whole-cell patch clamp technique. SEMA3A selectively altered K v 4.3 by significantly reducing peak current density without perturbing K v 4.3 cell surface protein expression. SEMA3A also reduced I to current density in cardiomyocytes derived from human-induced pluripotent stem cells. Disruption of a putative toxin binding domain on K v 4.3 was used to assess physical interactions between SEMA3A and K v 4.3. These findings in combination with coimmunoprecipitations of SEMA3A and K v 4.3 revealed a potential direct binding interaction between these proteins. Comprehensive mutational analysis of SEMA3A was performed on 198 unrelated SCN5A genotype–negative patients with Brugada syndrome, and 2 rare SEMA3A missense mutations were identified. The SEMA3A mutations disrupted SEMA3A’s ability to inhibit K v 4.3 channels, resulting in a significant gain of K v 4.3 current compared with wild-type SEMA3A. Conclusions : This study is the first to demonstrate SEMA3A as a naturally occurring protein that selectively inhibits K v 4.3 and SEMA3A as a possible Brugada syndrome susceptibility gene through a K v 4.3 gain-of-function mechanism.