Arcomaria Garofalo
Seconda Università degli Studi di Napoli
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Publication
Featured researches published by Arcomaria Garofalo.
PLOS ONE | 2013
Annalaura Torella; Marina Fanin; Margherita Mutarelli; Enrico Peterle; Francesca Del Vecchio Blanco; Rossella Rispoli; Marco Savarese; Arcomaria Garofalo; Giulio Piluso; Lucia Morandi; Giulia Ricci; Gabriele Siciliano; Corrado Angelini; Vincenzo Nigro
Limb-girdle muscular dystrophies (LGMD) are genetically and clinically heterogeneous conditions. We investigated a large family with autosomal dominant transmission pattern, previously classified as LGMD1F and mapped to chromosome 7q32. Affected members are characterized by muscle weakness affecting earlier the pelvic girdle and the ileopsoas muscles. We sequenced the whole exome of four family members and identified a shared heterozygous frame-shift variant in the Transportin 3 (TNPO3) gene, encoding a member of the importin-β super-family. The TNPO3 gene is mapped within the LGMD1F critical interval and its 923-amino acid human gene product is also expressed in skeletal muscle. In addition, we identified an isolated case of LGMD with a new missense mutation in the same gene. We localized the mutant TNPO3 around the nucleus, but not inside. The involvement of gene related to the nuclear transport suggests a novel disease mechanism leading to muscular dystrophy.
European Journal of Human Genetics | 2016
Giuseppina Di Fruscio; Arcomaria Garofalo; Margherita Mutarelli; Marco Savarese; Vincenzo Nigro
Hundreds of variants in autosomal genes associated with the limb girdle muscular dystrophies (LGMDs) have been reported as being causative. However, in most cases the proof of pathogenicity derives from their non-occurrence in hundreds of healthy controls and/or from segregation studies in small families. The limited statistics of the genetic variations in the general population may hamper a correct interpretation of the effect of variants on the protein. To clarify the meaning of low-frequency variants in LGMD genes, we have selected all variants described as causative in the Leiden Open Variation Database and the Human Gene Mutation Database. We have systematically searched for their frequency in the NHLBI GO Exome Sequencing Project (ESP) and in our internal database. Surprisingly, the ESP contains about 4% of the variants previously associated with a dominant inheritance and about 9% of those associated with a recessive inheritance. The putative disease alleles are much more frequent than those estimated considering the disease prevalence. In conclusion, we hypothesize that a number of disease-associated variants are non-pathogenic and that other variations are not fully penetrant, even if they affect the protein function, suggesting a more complex genetic mechanisms for such heterogeneous disorders.
Stem cell reports | 2017
Dario Acampora; Luca Giovanni Di Giovannantonio; Arcomaria Garofalo; Vincenzo Nigro; Daniela Omodei; Alessia Lombardi; Jingchao Zhang; Ian Chambers; Antonio Simeone
Summary Embryonic stem cells (ESCs) cultured in leukemia inhibitory factor (LIF) plus fetal bovine serum (FBS) exhibit heterogeneity in the expression of naive and primed transcription factors. This heterogeneity reflects the dynamic condition of ESCs and their versatility to promptly respond to signaling effectors promoting naive or primed pluripotency. Here, we report that ESCs lacking Nanog or overexpressing Otx2 exhibit an early primed identity in LIF + FBS and fail to convert into 2i-induced naive state. Conversely, Otx2-null ESCs possess naive identity features in LIF + FBS similar to Nanog-overexpressing ESCs and convert poorly into FGF-induced early primed state. When both Nanog and Otx2 are inactivated, ESCs cultured in LIF + FBS exhibit primed identity and weakened ability to convert into naive state. These data suggest that, through mutual antagonism, NANOG and OTX2 specify the heterogeneous identity of ESCs cultured in LIF + FBS and individually predispose them for optimal response to naive or primed inducing factors.
Neuromuscular Disorders | 2018
Marco Savarese; Annalaura Torella; Olimpia Musumeci; Corrado Angelini; Guja Astrea; Luca Bello; Claudio Bruno; Giacomo P. Comi; Giuseppina Di Fruscio; Giulio Piluso; Giuseppe Di Iorio; Manuela Ergoli; Gaia Esposito; Marina Fanin; Olimpia Farina; Chiara Fiorillo; Arcomaria Garofalo; Teresa Giugliano; Francesca Magri; Carlo Minetti; Maurizio Moggio; Luigia Passamano; Elena Pegoraro; Ester Picillo; Simone Sampaolo; Filippo M. Santorelli; Claudio Semplicini; Bjarne Udd; Antonio Toscano; Luisa Politano
Mutations in the GAA gene may cause a late onset Pompe disease presenting with proximal weakness without the characteristic muscle pathology, and therefore a test for GAA activity is the first tier analysis in all undiagnosed patients with hyperCKemia and/or limb-girdle muscular weakness. By using MotorPlex, a targeted gene panel for next generation sequencing, we analyzed GAA and other muscle disease-genes in a large cohort of undiagnosed patients with suspected inherited skeletal muscle disorders (n = 504). In this cohort, 275 patients presented with limb-girdle phenotype and/or an isolated hyperCKemia. Mutational analysis identified GAA mutations in ten patients. Further seven affected relatives were identified by segregation studies. All the patients carried the common GAA mutation c.-32-13T >G and a second, previously reported mutation. In the subcohort of 275 patients with proximal muscle weakness and/or hyperCKemia, we identified late-onset Pompe disease in 10 patients. The clinical overlap between Pompe disease and LGMDs or other skeletal muscle disorders suggests that GAA and the genes causing a metabolic myopathy should be analyzed in all the gene panels used for testing neuromuscular patients. However, enzymatic tests are essential for the interpretation and validation of genetic results.
Genes | 2018
Teresa Giugliano; Marco Savarese; Arcomaria Garofalo; Esther Picillo; Chiara Fiorillo; Adele D’Amico; Lorenzo Maggi; Lucia Ruggiero; Liliana Vercelli; Francesca Magri; Fabiana Fattori; Annalaura Torella; Manuela Ergoli; Anna Rubegni; Marina Fanin; Olimpia Musumeci; Jan De Bleecker; Lorenzo Peverelli; Maurizio Moggio; Eugenio Mercuri; Antonio Toscano; Marina Mora; Lucio Santoro; Tiziana Mongini; Enrico Bertini; Claudio Bruno; Carlo Minetti; Giacomo P. Comi; Filippo M. Santorelli; Corrado Angelini
Next-generation sequencing (NGS) technologies have led to an increase in the diagnosis of heterogeneous genetic conditions. However, over 50% of patients with a genetically inherited disease are still without a diagnosis. In these cases, different hypotheses are usually postulated, including variants in novel genes or elusive mutations. Although the impact of copy number variants (CNVs) in neuromuscular disorders has been largely ignored to date, missed CNVs are predicted to have a major role in disease causation as some very large genes, such as the dystrophin gene, have prone-to-deletion regions. Since muscle tissues express several large disease genes, the presence of elusive CNVs needs to be comprehensively assessed following an accurate and systematic approach. In this multicenter cohort study, we analyzed 234 undiagnosed myopathy patients using a custom array comparative genomic hybridization (CGH) that covers all muscle disease genes at high resolution. Twenty-two patients (9.4%) showed non-polymorphic CNVs. In 12 patients (5.1%), the identified CNVs were considered responsible for the observed phenotype. An additional ten patients (4.3%) presented candidate CNVs not yet proven to be causative. Our study indicates that deletions and duplications may account for 5–9% of genetically unsolved patients. This strongly suggests that other mechanisms of disease are yet to be discovered.
Neuromuscular Disorders | 2014
Marco Savarese; G. Di Fruscio; Annalaura Torella; Margherita Mutarelli; Giacomo P. Comi; Tiziana Mongini; Enzo Ricci; C. Angelini; Marina Fanin; Elena Pegoraro; Olimpia Musumeci; Antonio Toscano; Gabriele Siciliano; Marina Mora; Lucia Morandi; E.M. Bertini; A. D’Amico; G. Tasca; C. Bruno; Chiara Fiorillo; Carlo Minetti; Filippo M. Santorelli; Arcomaria Garofalo; Teresa Giugliano; C. Pisano; F. Del Vecchio Blanco; Giulio Piluso; O. De Concilio; Sabrina Sacconi; L. Politano
Limb-girdle muscular dystrophies (LGMDs) are a highly heterogeneous group of muscle disorders affecting the pelvic and the shoulder girdle musculature. Until now, over thirty disease genes are known. Even if the age of onset and other clinical features could address the diagnosis towards the specific LGMD form, the phenotypic heterogeneity within each form hampers an easy and rapid molecular identification of causative mutations. We developed a unique and exhaustive platform, based on Next Generation Sequencing on Illumina HiSeq, to analyze 89 muscular disease genes at very high coverage. This regains 20–30% of missing sequences when compared with whole exome sequencing of the same DNA samples. Using this protocol, we have sequenced 312 patients with a LGMD phenotype. Most patients have been previously studied using a gene-by-gene approach without success. Thus, these cases are somewhat enriched for unknown and elusive mutations. Nevertheless, in about 20% of patients we found typical causative mutations in predicted genes, missed by Sanger sequencing or generally poorly studied. An additional 30% of patients carry other novel pathogenic variations. As easily predictable, the diagnostic rate sensibly increases in naive samples not previously screened. Our extensive procedure allowed us to obtain a full comprehensive view of all sequence variants in these samples and to refine the genotype-phenotype correlation. More interestingly, we found in each patient at least five rare mutations (
Neuromuscular Disorders | 2014
G. Di Fruscio; Marco Savarese; Arcomaria Garofalo; Margherita Mutarelli; Vincenzo Nigro
Hundreds of variants in autosomal genes associated to limb girdle muscular dystrophies (LGMDs) have been reported as being causative. However, in most cases the proof of pathogenicity derives from their nonoccurrence in hundreds of healthy controls and/or from segregation studies in small families. We consider that a limited statistics of the genetic variations in the general population may hamper the correct interpretation of the disease-causing effect of variants. To clarify the meaning of low-frequency variants in LGMD genes, we have systematically searched for previously identified missense and nonsense variants described as causative in the Leiden Open Variation Database (LOVD) and the Human Gene Mutation Database (HGMD). To calculate their frequency we used the whole exome data from the NHLBI GO Exome Sequencing Project (ESP) and in our cohort of patients and controls analyzed by Next Generation Sequencing (NGS). Moreover, we predicted the effect of missense changes by several bioinformatic tools. Surprisingly, the ESP already contains 3% of the variants previously associated with autosomal dominant inheritance and about 12% of those associated with recessive inheritance. Moreover, a number of variants (about 20–25%) are predicted in silico to be not damaging. Finally, for specific forms of LGMDs, the putative disease alleles are much more frequent than the calculated disease prevalence. In conclusion, we identified a significant overrepresentation of LGMD-associated variants in large databases, suggesting that a large percentage of these are not the Mendelian cause of autosomal muscular dystrophies or, alternatively, they are pathogenic, but not fully penetrant. This highlights that genetic mechanisms are more complex than often thought. A non-biased testing of more genes in LGMD patients is needed for both genetic counseling and clinical trials.
Cell Reports | 2016
Dario Acampora; Daniela Omodei; Giuseppe Petrosino; Arcomaria Garofalo; Marco Savarese; Vincenzo Nigro; Luca Giovanni Di Giovannantonio; Vincenzo Mercadante; Antonio Simeone
Neuromuscular Disorders | 2017
G. Tasca; M. Pescatori; Mauro Monforte; Arcomaria Garofalo; A. Carissimo; Margherita Mutarelli; Vincenzo Nigro; Enzo Ricci
Neuromuscular Disorders | 2015
Marco Savarese; G. Di Fruscio; C. Bruno; Annalaura Torella; Teresa Giugliano; Marina Mora; Lucia Morandi; Gabriele Siciliano; Antonio Toscano; Arcomaria Garofalo; Tiziana Mongini; C. Angelini; Lucio Santoro; Kathleen Claes; E.M. Bertini; Filippo M. Santorelli; Giancarlo Comi; Sabrina Sacconi; L. Politano; Vincenzo Nigro