<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rizzardi, Clara</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Cammisuli, Francesca</style></author><author><style face="normal" font="default" size="100%">Monego, Simeone Dal</style></author><author><style face="normal" font="default" size="100%">DE Spelorzi, Yeraldin Chiquinquira Castillo</style></author><author><style face="normal" font="default" size="100%">Costantinides, Fulvio</style></author><author><style face="normal" font="default" size="100%">Giudici, Fabiola</style></author><author><style face="normal" font="default" size="100%">Pinamonti, Maurizio</style></author><author><style face="normal" font="default" size="100%">Canzonieri, Vincenzo</style></author><author><style face="normal" font="default" size="100%">Melato, Mauro</style></author><author><style face="normal" font="default" size="100%">Pascolo, Lorella</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Puzzling Results from  Germline Mutations Analysis in a Group of Asbestos-Exposed Patients in a High-risk Area of Northeast Italy.</style></title><secondary-title><style face="normal" font="default" size="100%">Anticancer Res</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Anticancer Res.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Asbestos</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Exposure</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Germ-Line Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Italy</style></keyword><keyword><style  face="normal" font="default" size="100%">Lung Neoplasms</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mesothelioma</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk</style></keyword><keyword><style  face="normal" font="default" size="100%">Tumor Suppressor Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Ubiquitin Thiolesterase</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017 06</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">37</style></volume><pages><style face="normal" font="default" size="100%">3073-3083</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;BACKGROUND: &lt;/b&gt;Germline mutations of the oncosuppressor gene breast cancer 1-associated protein 1 (BAP1) were recently related to an autosomal-dominant tumor predisposition syndrome (BAP1-TPDS), characterized by uveal melanoma, malignant mesothelioma (MM), cutaneous melanoma, and other malignancies. The demonstration that BAP1 mutations are strongly associated with MM has provided a real breakthrough in the study of genetic predisposition in MM, that may explain why only a fraction of asbestos-exposed individuals go on to develop MM.&lt;/p&gt;&lt;p&gt;&lt;b&gt;MATERIALS AND METHODS: &lt;/b&gt;To evaluate the possible role of BAP1 mutations in the epidemiology of sporadic MM, and their relationship with asbestos exposure, we determined the prevalence of germline BAP1 mutations by the Sanger method in a group of 29 asbestos-exposed patients, 21 of which were diagnosed with MM. They were residents of Trieste, a ship-building town in Northeast Italy with a very high incidence of mesothelioma.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;We identified non-obviously pathogenetic germline sequence variants of BAP1 in 3/29 patients and in 2/21 MM cases (10%).&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSION: &lt;/b&gt;Non obviously pathogenic germline sequence variants of BAP1 were found. Nevertheless, limitations of predictive web tools allowed us to comment on some interesting peculiarities of our findings.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/28551647?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ura, Blendi</style></author><author><style face="normal" font="default" size="100%">Scrimin, Federica</style></author><author><style face="normal" font="default" size="100%">Arrigoni, Giorgio</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Aloisio, Michelangelo</style></author><author><style face="normal" font="default" size="100%">Monasta, Lorenzo</style></author><author><style face="normal" font="default" size="100%">Ricci, Giuseppe</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Abnormal expression of leiomyoma cytoskeletal proteins involved in cell migration.</style></title><secondary-title><style face="normal" font="default" size="100%">Oncol Rep</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Oncol. Rep.</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">35</style></volume><pages><style face="normal" font="default" size="100%">3094-100</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Uterine leiomyomas are monoclonal tumors. Several factors are involved in the neoplastic transformation of the myometrium. In our study we focused on dysregulated cytoskeletal proteins in the leiomyoma as compared to the myometrium. Paired tissue samples of ten leiomyomas and adjacent myometria were obtained and analyzed by two‑dimensional gel electrophoresis (2-DE). Mass spectrometry was used for protein identification, and western blotting for 2-DE data validation. The values of ten cytoskeletal proteins were found to be significantly different: eight proteins were upregulated in the leiomyoma and two proteins were downregulated. Three of the upregulated proteins (myosin regulatory light polypeptide 9, four and a half LIM domains protein 1 and LIM and SH3 domain protein 1) are involved in cell migration, while downregulated protein transgelin is involved in replicative senescence. Myosin regulatory light polypeptide 9 (MYL9) was further validated by western blotting because it is considered to be a cell migration marker in several cancers and could play a key role in leiomyoma development. Our data demonstrate significant alterations in the expression of cytoskeletal proteins involved in leiomyoma growth. A better understanding of the involvement of cytoskeletal proteins in leiomyoma pathogenesis may contribute to the identification of new therapeutic targets and the development of new pharmacological approaches.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/26986808?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">De Pieri, Carlo</style></author><author><style face="normal" font="default" size="100%">Vuch, Josef</style></author><author><style face="normal" font="default" size="100%">De Martino, Eleonora</style></author><author><style face="normal" font="default" size="100%">Bianco, Anna M</style></author><author><style face="normal" font="default" size="100%">Ronfani, Luca</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Bortot, Barbara</style></author><author><style face="normal" font="default" size="100%">Crovella, Sergio</style></author><author><style face="normal" font="default" size="100%">Taddio, Andrea</style></author><author><style face="normal" font="default" size="100%">Severini, Giovanni M</style></author><author><style face="normal" font="default" size="100%">Tommasini, Alberto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic profiling of autoinflammatory disorders in patients with periodic fever: a prospective study.</style></title><secondary-title><style face="normal" font="default" size="100%">Pediatr Rheumatol Online J</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Pediatr Rheumatol Online J</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Carrier Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Cryopyrin-Associated Periodic Syndromes</style></keyword><keyword><style  face="normal" font="default" size="100%">Cytoskeletal Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Familial Mediterranean Fever</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Fever</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Expression Profiling</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Hereditary Autoinflammatory Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Intracellular Signaling Peptides and Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Phosphotransferases (Alcohol Group Acceptor)</style></keyword><keyword><style  face="normal" font="default" size="100%">Prospective Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Receptors, Tumor Necrosis Factor, Type I</style></keyword><keyword><style  face="normal" font="default" size="100%">Syndrome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">13</style></volume><pages><style face="normal" font="default" size="100%">11</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;BACKGROUND: &lt;/b&gt;Periodic fever syndromes (PFS) are an emerging group of autoinflammatory disorders. Clinical overlap exists and multiple genetic analyses may be needed to assist diagnosis. We evaluated the diagnostic value of a 5-gene sequencing panel (5GP) in patients with undiagnosed PFS.&lt;/p&gt;&lt;p&gt;&lt;b&gt;METHODS: &lt;/b&gt;Simultaneous double strand Sanger sequencing of MEFV, MVK, TNFRSF1A, NLRP3, NLRP12 genes was performed in 42 patients with unexplained PFS. Clinical features were correlated with genetic results.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;None of 42 patients analyzed displayed a causative genotype. However, single or multiple genetic variants of uncertain significance were detected in 24 subjects. Only in 5 subjects a definite diagnosis was made by taking into account both genetic and clinical data (2 TRAPS syndrome; 2 FMF; 1 FCAS). Statistical analysis showed that patients carrying genetic variants in one or more of the five selected genes displayed a significantly lower response to glucocorticoids compared with subjects who had completely negative genetic results.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;The sequencing of multiple genes is of little help in the diagnostics of PFS and can often lead to results of uncertain interpretation, thus the clinically driven sequencing of single genes should remain the recommended approach. However, the presence of single or multiple genetic variants of uncertain significance, even if not allowing any specific diagnosis, correlated with a poorer response to glucocorticoids, possibly indicating a multifactorial subgroup of PFS with differential response to pharmacological treatment.&lt;/p&gt;</style></abstract><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/25866490?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Faletra, Flavio</style></author><author><style face="normal" font="default" size="100%">d'Adamo, Adamo P</style></author><author><style face="normal" font="default" size="100%">Bruno, Irene</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Biskup, Saskia</style></author><author><style face="normal" font="default" size="100%">Esposito, Laura</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Autosomal recessive Stickler syndrome due to a loss of function mutation in the COL9A3 gene.</style></title><secondary-title><style face="normal" font="default" size="100%">Am J Med Genet A</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Am. J. Med. Genet. A</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Arthritis</style></keyword><keyword><style  face="normal" font="default" size="100%">Bone and Bones</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Collagen Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">Collagen Type IX</style></keyword><keyword><style  face="normal" font="default" size="100%">Connective Tissue Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA Mutational Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Facies</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, Recessive</style></keyword><keyword><style  face="normal" font="default" size="100%">Hearing Loss</style></keyword><keyword><style  face="normal" font="default" size="100%">Hearing Loss, Sensorineural</style></keyword><keyword><style  face="normal" font="default" size="100%">Homozygote</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Pedigree</style></keyword><keyword><style  face="normal" font="default" size="100%">Retinal Detachment</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">164A</style></volume><pages><style face="normal" font="default" size="100%">42-7</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Stickler syndrome (STL) is a clinically variable and genetically heterogeneous syndrome characterized by ophthalmic, articular, orofacial, and auditory manifestations. STL has been described with both autosomal dominant and recessive inheritance. The dominant form is caused by mutations of COL2A1 (STL 1, OMIM 108300), COL11A1 (STL 2, OMIM 604841), and COL11A2 (STL 3, OMIM 184840) genes, while recessive forms have been associated with mutations of COL9A1 (OMIM 120210) and COL9A2 (OMIM 120260) genes. Type IX collagen is a heterotrimeric molecule formed by three genetically distinct chains: α1, α2, and α3 encoded by the COL9A1, COL9A2, and COL9A3 genes. Up to this time, only heterozygous mutations of COL9A3 gene have been reported in human and related to: (1) multiple epiphyseal dysplasia type 3, (2) susceptibility to an intervertebral disc disease, and (3) hearing loss. Here, we describe the first autosomal recessive Stickler family due to loss of function mutations (c.1176_1198del, p.Gln393Cysfs*25) of COL9A3 gene. These findings extend further the role of collagen genes family in the disease pathogenesis.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24273071?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">De Pieri, Carlo</style></author><author><style face="normal" font="default" size="100%">Vuch, Josef</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Severini, Giovanni Maria</style></author><author><style face="normal" font="default" size="100%">Crovella, Sergio</style></author><author><style face="normal" font="default" size="100%">Bianco, Anna Monica</style></author><author><style face="normal" font="default" size="100%">Tommasini, Alberto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">F402L variant in NLRP12 in subjects with undiagnosed periodic fevers and in healthy controls.</style></title><secondary-title><style face="normal" font="default" size="100%">Clin Exp Rheumatol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Clin. Exp. Rheumatol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cryopyrin-Associated Periodic Syndromes</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Intracellular Signaling Peptides and Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Nov-Dec</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">32</style></volume><pages><style face="normal" font="default" size="100%">993-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">6</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/25327218?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Licastro, Danilo</style></author><author><style face="normal" font="default" size="100%">Faletra, Flavio</style></author><author><style face="normal" font="default" size="100%">Fabretto, Antonella</style></author><author><style face="normal" font="default" size="100%">Dipresa, Savina</style></author><author><style face="normal" font="default" size="100%">Vozzi, Diego</style></author><author><style face="normal" font="default" size="100%">Morgan, Anna</style></author><author><style face="normal" font="default" size="100%">d'Adamo, Adamo P</style></author><author><style face="normal" font="default" size="100%">Pecile, Vanna</style></author><author><style face="normal" font="default" size="100%">Biarnés, Xevi</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Next generation sequencing in nonsyndromic intellectual disability: from a negative molecular karyotype to a possible causative mutation detection.</style></title><secondary-title><style face="normal" font="default" size="100%">Am J Med Genet A</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Am. J. Med. Genet. A</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Computational Biology</style></keyword><keyword><style  face="normal" font="default" size="100%">Exome</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, Recessive</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, X-Linked</style></keyword><keyword><style  face="normal" font="default" size="100%">Genome-Wide Association Study</style></keyword><keyword><style  face="normal" font="default" size="100%">High-Throughput Nucleotide Sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Intellectual Disability</style></keyword><keyword><style  face="normal" font="default" size="100%">Karyotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Workflow</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">164A</style></volume><pages><style face="normal" font="default" size="100%">170-6</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The identification of causes underlying intellectual disability (ID) is one of the most demanding challenges for clinical Geneticists and Researchers. Despite molecular diagnostics improvements, the vast majority of patients still remain without genetic diagnosis. Here, we report the results obtained using Whole Exome and Target Sequencing on nine patients affected by isolated ID without pathological copy number variations, which were accurately selected from an initial cohort of 236 patients. Three patterns of inheritance were used to search for: (1) de novo, (2) X-linked, and (3) autosomal recessive variants. In three of the nine proband-parent trios analyzed, we identified and validated two de novo and one X-linked potentially causative mutations located in three ID-related genes. We proposed three genes as ID candidate, carrying one de novo and three X-linked mutations. Overall, this systematic proband-parent trio approach using next generation sequencing could explain a consistent percentage of patients with isolated ID, thus increasing our knowledge on the molecular bases of this disease and opening new perspectives for a better diagnosis, counseling, and treatment.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24307393?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Melloni, Elisabetta</style></author><author><style face="normal" font="default" size="100%">Rigolin, Gian Matteo</style></author><author><style face="normal" font="default" size="100%">Agnoletto, Chiara</style></author><author><style face="normal" font="default" size="100%">Voltan, Rebecca</style></author><author><style face="normal" font="default" size="100%">Vozzi, Diego</style></author><author><style face="normal" font="default" size="100%">Piscianz, Elisa</style></author><author><style face="normal" font="default" size="100%">Segat, Ludovica</style></author><author><style face="normal" font="default" size="100%">dal Monego, Simeone</style></author><author><style face="normal" font="default" size="100%">Cuneo, Antonio</style></author><author><style face="normal" font="default" size="100%">Secchiero, Paola</style></author><author><style face="normal" font="default" size="100%">Zauli, Giorgio</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The p53 transcriptional pathway is preserved in ATMmutated and NOTCH1mutated chronic lymphocytic leukemias.</style></title><secondary-title><style face="normal" font="default" size="100%">Oncotarget</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Oncotarget</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Ataxia Telangiectasia Mutated Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Base Sequence</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, p53</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Leukemia, Lymphocytic, Chronic, B-Cell</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Models, Molecular</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Sequence Data</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Receptor, Notch1</style></keyword><keyword><style  face="normal" font="default" size="100%">Signal Transduction</style></keyword><keyword><style  face="normal" font="default" size="100%">Tumor Suppressor Protein p53</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Dec 30</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">12635-45</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;By using next generation sequencing, we have analyzed 108 B chronic lymphocytic leukemia (B-CLL) patients. Among genes involved in the TP53 pathway, we found frequent mutations in ATM (n=18), TP53 (n=10) and NOTCH1 (n=10) genes, rare mutations of NOTCH2 (n=2) and CDKN1A/p21 (n=1) and no mutations in BAX, MDM2, TNFRSF10A and TNFRSF10B genes. The in vitro treatment of primary B-CLL cells with the activator of p53 Nutlin-3 induced the transcription of p53 target genes, without significant differences between the B-CLL without mutations and those harboring either ATM or NOTCH1mutations. On the other hand, the subgroup of TP53mutated B-CLL exhibited a significantly lower induction of the p53 target genes in response to Nutlin-3 as compared to the other B-CLL samples. However, among the TP53mutated B-CLL, those showing mutations in the high hot spot region of the DNA binding domain [273-280 aa] maintained a significantly higher p53-dependent transcriptional activity as compared to the other TP53mutated B-CLL samples. Since the ability to elicit a p53-dependent transcriptional activity in vitro has a positive prognostic significance, our data suggest that ATMmutated, NOTCH1mutated and surprisingly, also a subset of TP53mutated B-CLL patients might benefit from therapeutic combinations including small molecule activator of the p53 pathway.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">24</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/25587027?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Franca, Raffaella</style></author><author><style face="normal" font="default" size="100%">Rebora, Paola</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Favretto, Diego</style></author><author><style face="normal" font="default" size="100%">Verzegnassi, Federico</style></author><author><style face="normal" font="default" size="100%">Basso, Giuseppe</style></author><author><style face="normal" font="default" size="100%">Tommasini, Alberto</style></author><author><style face="normal" font="default" size="100%">Valsecchi, Maria Grazia</style></author><author><style face="normal" font="default" size="100%">Decorti, Giuliana</style></author><author><style face="normal" font="default" size="100%">Rabusin, Marco</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">TNF-α SNP rs1800629 and risk of relapse in childhood acute lymphoblastic leukemia: relation to immunophenotype.</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacogenomics</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Pharmacogenomics</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Antineoplastic Agents</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Drug Resistance, Neoplasm</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant</style></keyword><keyword><style  face="normal" font="default" size="100%">Leukemia, Lymphocytic, Chronic, B-Cell</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Phenotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Precursor Cell Lymphoblastic Leukemia-Lymphoma</style></keyword><keyword><style  face="normal" font="default" size="100%">Precursor T-Cell Lymphoblastic Leukemia-Lymphoma</style></keyword><keyword><style  face="normal" font="default" size="100%">Recurrence</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Steroids</style></keyword><keyword><style  face="normal" font="default" size="100%">Tumor Necrosis Factor-alpha</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Apr</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">619-27</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;AIM: &lt;/b&gt;In the AIEOP-BFM ALL (Associazione Italiana Ematologia Oncologia Pediatrica-Berlin Frankfurt Münster acute lymphoblastic leukemia) 2000 protocol, 70% of relapsed patients had favorable prognostic features and fell within less intensive polychemotherapeutic regimens, suggesting the need for better assessing lower risk stratification.&lt;/p&gt;&lt;p&gt;&lt;b&gt;MATERIALS &amp; METHODS: &lt;/b&gt;A novel two-phase study design selected 614 children to be genotyped for TNF-α SNP rs1800629 (-308G&gt;A). A weighted Cox model was applied to evaluate the SNP effect on hazard of relapse, adjusting for immunophenotype, risk group, age and gender and including interaction terms.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;Significant interaction was found with immunophenotypes (p = 0.0007, with minor allele genotypes being adverse genetic markers in B-cell acute lymphoblastic leukemia and protective ones in T-cell acute lymphoblastic leukemia), and also with risk protocols (p = 0.0041, with minor allele genotypes as prognostic factor of relapse for standard risk patients [only one T-cell acute lymphoblastic leukemia in the subgroup analyzed]).&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSION: &lt;/b&gt;The presence of at least one A allele in TNF-α SNP rs1800629 should suggest a closer monitoring in B-cell acute lymphoblastic leukemia standard risk patients.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24798719?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Faletra, Flavio</style></author><author><style face="normal" font="default" size="100%">d'Adamo, Adamo Pio</style></author><author><style face="normal" font="default" size="100%">Pensiero, Stefano</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Catalano, Dario</style></author><author><style face="normal" font="default" size="100%">Bruno, Irene</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel CRYBB2 missense mutation causing congenital autosomal dominant cataract in an Italian family.</style></title><secondary-title><style face="normal" font="default" size="100%">Ophthalmic Genet</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Ophthalmic Genet.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Amino Acid Sequence</style></keyword><keyword><style  face="normal" font="default" size="100%">beta-Crystallin B Chain</style></keyword><keyword><style  face="normal" font="default" size="100%">Cataract</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA Mutational Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, Dominant</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Linkage</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Italy</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Sequence Data</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation, Missense</style></keyword><keyword><style  face="normal" font="default" size="100%">Pedigree</style></keyword><keyword><style  face="normal" font="default" size="100%">Phenotype</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Mar-Jun</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">34</style></volume><pages><style face="normal" font="default" size="100%">115-7</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Congenital cataract is a leading cause of visual impairment in children and brings approximately 10% of childhood blindness worldwide. Molecular analysis revealed ~60 loci to be associated with several phenotypes of childhood cataracts. Until now, more than 30 loci and 18 genes on different chromosomes have been associated with autosomal dominant congenital cataract (ADCC). Here, we present a three-generation Italian family with a non syndromic ADCC. A linkage analysis carried out using HumanCytoSNP-12 DNA Analysis BeadChip led us to identify ten genomic regions virtually involved in the disease. All the genes located in these regions were scored for possible relationship with ADCC and, according to a strict clinical and genetic selection, 4 genes have been analyzed. A novel sequence variant was found in the CRYBB2 gene (p.Ser143Phe). This variant affects a conserved aminoacid in the third Greek key motif of the protein, cosegregates with the disease phenotype in all affected individuals and is not present both in the unaffected family members and 100 healthy control subjects. Finally, we identified the first CRYBB2 mutation in an Italian family causing a clinical picture of ADCC.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1-2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22846113?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pirastu, Nicola</style></author><author><style face="normal" font="default" size="100%">Robino, Antonietta</style></author><author><style face="normal" font="default" size="100%">Lanzara, Carmela</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Esposito, Laura</style></author><author><style face="normal" font="default" size="100%">Tepper, Beverly J</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetics of food preferences: a first view from silk road populations.</style></title><secondary-title><style face="normal" font="default" size="100%">J Food Sci</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Food Sci.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Azerbaijan</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Choice Behavior</style></keyword><keyword><style  face="normal" font="default" size="100%">Cohort Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Food Habits</style></keyword><keyword><style  face="normal" font="default" size="100%">Food Preferences</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Frequency</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Georgia</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Kazakhstan</style></keyword><keyword><style  face="normal" font="default" size="100%">Linear Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Quantitative Trait Loci</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Tajikistan</style></keyword><keyword><style  face="normal" font="default" size="100%">Taste</style></keyword><keyword><style  face="normal" font="default" size="100%">Uzbekistan</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Dec</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">77</style></volume><pages><style face="normal" font="default" size="100%">S413-8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Food preferences are the main factor driving food intake and choice. There are good reasons to suspect some genetic influence on food acceptance, not least because genetic factors are implicated in a number of factors that are likely to be related to food choice. In addition, some food dislikes show themselves early in life, before there is any evidence for aversive experiences. Although taste has been widely studied in regards of pure tastes such as bitter or sweet perception, the relationship between taste-related genes and food preferences has seldom been explored. In this work we investigated relationship of 37 taste-related genes with food preferences. The study was carried out during a scientific expedition through Caucasus and Central Asia (Silk Road) analyzing more than 400 samples from 5 different countries. A food preference questionnaire was administered to each participant and a DNA sample was obtained. Other information, such as age, sex, life style and anthropometrical measures, were also collected. We found significant associations with variants of: (1) TAS1R2 [Correction added after initial online publication on 27 Aug 2012. TAS1R3 was changed to TAS1R2.] gene and liking of Vodka (P= 1.6 × 10(-3)), white wine (P= 4.0 × 10(-4)) and lamb meat (P= 1.6 × 10(-3)); (2) PCLB2 gene and preference for Hot Tea (P= 8.0 × 10(-4)); (3) TPRV1 gene and beet liking (P= 3.8 × 10(-5)); and (4) ITPR3 gene and liking of both lamb meat (5.8 × 10(-4)) and sheep cheese (8.9×10(-4)). These findings give a new insight on a better understanding, of genetic factors influencing food preferences which is critical to the development of effective dietary interventions, especially for people that may be genetically not predisposed for liking specific nutrients.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22888812?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Licastro, Danilo</style></author><author><style face="normal" font="default" size="100%">Mutarelli, Margherita</style></author><author><style face="normal" font="default" size="100%">Peluso, Ivana</style></author><author><style face="normal" font="default" size="100%">Neveling, Kornelia</style></author><author><style face="normal" font="default" size="100%">Wieskamp, Nienke</style></author><author><style face="normal" font="default" size="100%">Rispoli, Rossella</style></author><author><style face="normal" font="default" size="100%">Vozzi, Diego</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">D'Eustacchio, Angela</style></author><author><style face="normal" font="default" size="100%">Pizzo, Mariateresa</style></author><author><style face="normal" font="default" size="100%">D'Amico, Francesca</style></author><author><style face="normal" font="default" size="100%">Ziviello, Carmela</style></author><author><style face="normal" font="default" size="100%">Simonelli, Francesca</style></author><author><style face="normal" font="default" size="100%">Fabretto, Antonella</style></author><author><style face="normal" font="default" size="100%">Scheffer, Hans</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author><author><style face="normal" font="default" size="100%">Banfi, Sandro</style></author><author><style face="normal" font="default" size="100%">Nigro, Vincenzo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Molecular diagnosis of Usher syndrome: application of two different next generation sequencing-based procedures.</style></title><secondary-title><style face="normal" font="default" size="100%">PLoS One</style></secondary-title><alt-title><style face="normal" font="default" size="100%">PLoS ONE</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Exome</style></keyword><keyword><style  face="normal" font="default" size="100%">Genome, Human</style></keyword><keyword><style  face="normal" font="default" size="100%">High-Throughput Nucleotide Sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Diagnostic Techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">Pilot Projects</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Analysis, DNA</style></keyword><keyword><style  face="normal" font="default" size="100%">Usher Syndromes</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">e43799</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Usher syndrome (USH) is a clinically and genetically heterogeneous disorder characterized by visual and hearing impairments. Clinically, it is subdivided into three subclasses with nine genes identified so far. In the present study, we investigated whether the currently available Next Generation Sequencing (NGS) technologies are already suitable for molecular diagnostics of USH. We analyzed a total of 12 patients, most of which were negative for previously described mutations in known USH genes upon primer extension-based microarray genotyping. We enriched the NGS template either by whole exome capture or by Long-PCR of the known USH genes. The main NGS sequencing platforms were used: SOLiD for whole exome sequencing, Illumina (Genome Analyzer II) and Roche 454 (GS FLX) for the Long-PCR sequencing. Long-PCR targeting was more efficient with up to 94% of USH gene regions displaying an overall coverage higher than 25×, whereas whole exome sequencing yielded a similar coverage for only 50% of those regions. Overall this integrated analysis led to the identification of 11 novel sequence variations in USH genes (2 homozygous and 9 heterozygous) out of 18 detected. However, at least two cases were not genetically solved. Our result highlights the current limitations in the diagnostic use of NGS for USH patients. The limit for whole exome sequencing is linked to the need of a strong coverage and to the correct interpretation of sequence variations with a non obvious, pathogenic role, whereas the targeted approach suffers from the high genetic heterogeneity of USH that may be also caused by the presence of additional causative genes yet to be identified.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22952768?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sorice, Rossella</style></author><author><style face="normal" font="default" size="100%">Bione, Silvia</style></author><author><style face="normal" font="default" size="100%">Sansanelli, Serena</style></author><author><style face="normal" font="default" size="100%">Ulivi, Sheila</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Lanzara, Carmela</style></author><author><style face="normal" font="default" size="100%">Nutile, Teresa</style></author><author><style face="normal" font="default" size="100%">Sala, Cinzia</style></author><author><style face="normal" font="default" size="100%">Camaschella, Clara</style></author><author><style face="normal" font="default" size="100%">d'Adamo, Pio</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author><author><style face="normal" font="default" size="100%">Ciullo, Marina</style></author><author><style face="normal" font="default" size="100%">Toniolo, Daniela</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Association of a variant in the CHRNA5-A3-B4 gene cluster region to heavy smoking in the Italian population.</style></title><secondary-title><style face="normal" font="default" size="100%">Eur J Hum Genet</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Eur. J. Hum. Genet.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Genetic Predisposition to Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Genome-Wide Association Study</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Italy</style></keyword><keyword><style  face="normal" font="default" size="100%">Multigene Family</style></keyword><keyword><style  face="normal" font="default" size="100%">Nerve Tissue Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Receptors, Nicotinic</style></keyword><keyword><style  face="normal" font="default" size="100%">Smoking</style></keyword><keyword><style  face="normal" font="default" size="100%">Tobacco Use Disorder</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">593-6</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Large-scale population studies have established that genetic factors contribute to individual differences in smoking behavior. Linkage and genome-wide association studies have shown many chromosomal regions and genes associated with different smoking behaviors. One study was the association of single-nucleotide polymorphisms (SNPs) in the CHRNA5-A3-B4 gene cluster to nicotine addiction. Here, we report a replication of this association in the Italian population represented by three genetically isolated populations. One, the Val Borbera, is a genetic isolate from North-Western Italy; the Cilento population, is located in South-Western Italy; and the Carlantino village is located in South-Eastern Italy. Owing to their position and their isolation, the three populations have a different environment, different history and genetic structure. The variant A of the rs1051730 SNP was significantly associated with smoking quantity in two populations, Val Borbera and Cilento, no association was found in Carlantino population probably because difference in LD pattern in the variant region.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21248747?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bortot, Barbara</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Brun, Francesca</style></author><author><style face="normal" font="default" size="100%">Rizzotti, Diego</style></author><author><style face="normal" font="default" size="100%">Mestroni, Luisa</style></author><author><style face="normal" font="default" size="100%">Sinagra, Gianfranco</style></author><author><style face="normal" font="default" size="100%">Severini, Giovanni Maria</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">High-throughput genotyping robot-assisted method for mutation detection in patients with hypertrophic cardiomyopathy.</style></title><secondary-title><style face="normal" font="default" size="100%">Diagn Mol Pathol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Diagn. Mol. Pathol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cardiomyopathy, Hypertrophic</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA Mutational Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Predisposition to Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Testing</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotyping Techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">High-Throughput Nucleotide Sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Muscle Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Robotics</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Sep</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">175-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Hypertrophic cardiomyopathy (HCM) is the most frequent autosomal dominant genetic heart muscle disease and the most common cause of sudden cardiac death in young people (under 30 y of age), who are often unaware of their underlying condition. Genetic screening is now considered a fundamental tool for clinical management of HCM families. However, the high genetic heterogeneity of HCM makes genetic screening very expensive. Here, we propose a new high-throughput genotyping method based on a HCM 96-well sequencing plate for the analysis of 8 of the most frequent HCM-causing sarcomeric genes by automating several processes required for direct sequencing, using a commercially available robotic systems and routinely used instruments. To assess the efficiency of the robot-assisted method, we have analyzed the entire coding sequence and flanking intronic sequences of the 8 sarcomeric genes in samples from 18 patients affected by HCM and their relatives, which revealed 9 different mutations, 3 of which were novel. The automated, robot-assisted assembling of polymerase chain reaction, purification of polymerase chain reaction products, and assembly of sequencing reactions resulted in a substantial saving of time, reagent costs, and reduction of human errors, and can therefore be proposed as a primary strategy for mutation identification in HCM genetic screening in many medical genetic laboratories.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21817903?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bezzerri, Valentino</style></author><author><style face="normal" font="default" size="100%">d'Adamo, Pio</style></author><author><style face="normal" font="default" size="100%">Rimessi, Alessandro</style></author><author><style face="normal" font="default" size="100%">Lanzara, Carmen</style></author><author><style face="normal" font="default" size="100%">Crovella, Sergio</style></author><author><style face="normal" font="default" size="100%">Nicolis, Elena</style></author><author><style face="normal" font="default" size="100%">Tamanini, Anna</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Tebon, Maela</style></author><author><style face="normal" font="default" size="100%">Bisoffi, Giulia</style></author><author><style face="normal" font="default" size="100%">Drumm, Mitchell L</style></author><author><style face="normal" font="default" size="100%">Knowles, Michael R</style></author><author><style face="normal" font="default" size="100%">Pinton, Paolo</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author><author><style face="normal" font="default" size="100%">Berton, Giorgio</style></author><author><style face="normal" font="default" size="100%">Cabrini, Giulio</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Phospholipase C-β3 is a key modulator of IL-8 expression in cystic fibrosis bronchial epithelial cells.</style></title><secondary-title><style face="normal" font="default" size="100%">J Immunol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Immunol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adenosine Triphosphate</style></keyword><keyword><style  face="normal" font="default" size="100%">Calcium</style></keyword><keyword><style  face="normal" font="default" size="100%">Cell Line, Transformed</style></keyword><keyword><style  face="normal" font="default" size="100%">Cystic Fibrosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Enzyme Activation</style></keyword><keyword><style  face="normal" font="default" size="100%">Epithelial Cells</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Expression</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Frequency</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Green Fluorescent Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Host-Pathogen Interactions</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Interleukin-8</style></keyword><keyword><style  face="normal" font="default" size="100%">Isoenzymes</style></keyword><keyword><style  face="normal" font="default" size="100%">Lung Diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">Microscopy, Fluorescence</style></keyword><keyword><style  face="normal" font="default" size="100%">Phospholipase C beta</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Kinase C</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Kinase C beta</style></keyword><keyword><style  face="normal" font="default" size="100%">Pseudomonas aeruginosa</style></keyword><keyword><style  face="normal" font="default" size="100%">RNA Interference</style></keyword><keyword><style  face="normal" font="default" size="100%">Toll-Like Receptors</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcription Factor RelA</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Apr 15</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">186</style></volume><pages><style face="normal" font="default" size="100%">4946-58</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Respiratory insufficiency is the major cause of morbidity and mortality in patients affected by cystic fibrosis (CF). An excessive neutrophilic inflammation, mainly orchestrated by the release of IL-8 from bronchial epithelial cells and amplified by chronic bacterial infection with Pseudomonas aeruginosa, leads to progressive tissue destruction. The anti-inflammatory drugs presently used in CF patients have several limitations, indicating the need for identifying novel molecular targets. To address this issue, we preliminarily studied the association of 721 single nucleotide polymorphisms from 135 genes potentially involved in signal transduction implicated in neutrophil recruitment in a cohort of F508del homozygous CF patients with either severe or mild progression of lung disease. The top ranking association was found for a nonsynonymous polymorphism of the phospholipase C-β3 (PLCB3) gene. Studies in bronchial epithelial cells exposed to P. aeruginosa revealed that PLCB3 is implicated in extracellular nucleotide-dependent intracellular calcium signaling, leading to activation of the protein kinase Cα and Cβ and of the nuclear transcription factor NF-κB p65. The proinflammatory pathway regulated by PLCB3 acts by potentiating the Toll-like Receptors' signaling cascade and represents an interesting molecular target to attenuate the excessive recruitment of neutrophils without completely abolishing the inflammatory response.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21411730?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Crovella, Sergio</style></author><author><style face="normal" font="default" size="100%">Segat, Ludovica</style></author><author><style face="normal" font="default" size="100%">Amato, Annalisa</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Bezzerri, Valentino</style></author><author><style face="normal" font="default" size="100%">Braggion, Cesare</style></author><author><style face="normal" font="default" size="100%">Casciaro, Rosaria</style></author><author><style face="normal" font="default" size="100%">Castaldo, Giuseppe</style></author><author><style face="normal" font="default" size="100%">Colombo, Carla</style></author><author><style face="normal" font="default" size="100%">Covone, Angela Elvira</style></author><author><style face="normal" font="default" size="100%">De Rose, Virginia</style></author><author><style face="normal" font="default" size="100%">Gagliardini, Rolando</style></author><author><style face="normal" font="default" size="100%">Lanzara, Carmen</style></author><author><style face="normal" font="default" size="100%">Minicucci, Laura</style></author><author><style face="normal" font="default" size="100%">Morgutti, Marcello</style></author><author><style face="normal" font="default" size="100%">Nicolis, Elena</style></author><author><style face="normal" font="default" size="100%">Pardo, Francesca</style></author><author><style face="normal" font="default" size="100%">Quattrucci, Serena</style></author><author><style face="normal" font="default" size="100%">Raia, Valeria</style></author><author><style face="normal" font="default" size="100%">Ravazzolo, Roberto</style></author><author><style face="normal" font="default" size="100%">Seia, Manuela</style></author><author><style face="normal" font="default" size="100%">Stanzial, Valentino</style></author><author><style face="normal" font="default" size="100%">Termini, Lisa</style></author><author><style face="normal" font="default" size="100%">Zazzeron, Laura</style></author><author><style face="normal" font="default" size="100%">Cabrini, Giulio</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A polymorphism in the 5' UTR of the DEFB1 gene is associated with the lung phenotype in F508del homozygous Italian cystic fibrosis patients.</style></title><secondary-title><style face="normal" font="default" size="100%">Clin Chem Lab Med</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Clin. Chem. Lab. Med.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">5' Untranslated Regions</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">beta-Defensins</style></keyword><keyword><style  face="normal" font="default" size="100%">Cystic Fibrosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Cystic Fibrosis Transmembrane Conductance Regulator</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Homozygote</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Italy</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Phenotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Genetic</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">49</style></volume><pages><style face="normal" font="default" size="100%">49-54</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;BACKGROUND: &lt;/b&gt;The identification of cystic fibrosis (CF) patients who are at greater risk of lung damage could be clinically valuable. Thus, we attempted to replicate previous findings and verify the possible association between three single nucleotide polymorphisms (SNPs c.-52G&gt;A, c.-44C&gt;G and c.-20G&gt;A) in the 5' untranslated region (5' UTR) of the β defensin 1 (DEFB1) gene and the CF pulmonary phenotype.&lt;/p&gt;&lt;p&gt;&lt;b&gt;METHODS: &lt;/b&gt;Genomic DNA from 92 Italian CF patients enrolled in different regional CF centres was extracted from peripheral blood and genotyped for DEFB1 SNPs using TaqMan(®) allele specific probes. In order to avoid genetic confounding causes that can account for CF phenotype variability, all patients were homozygous for the F508del CFTR mutation, and were then classified on the basis of clinical and functional data as mild lung phenotype (Mp, n=50) or severe lung phenotype patients (Sp, n=42).&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;For the c.-20G&gt;A SNP, the frequency of the A allele, as well as the AA genotype, were significantly more frequent in Mp than in Sp patients, and thus this was associated with a protective effect against severe pulmonary disease (OR=0.48 and 0.28, respectively). The effect of the c.-20G&gt;A A allele is consistent with a recessive model, and the protective effect against Sp is exerted only when it is present in homozygosis. For the other two SNPs, no differences were observed as allelic and genotypic frequency in the two subgroups of CF patients.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;Our results, although necessary to be confirmed in larger and multiethnic populations, reinforce DEFB1 as a candidate modifier gene of the CF pulmonary phenotype.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21077791?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Faletra, Flavio</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Minen, Federico</style></author><author><style face="normal" font="default" size="100%">Fornasier, Federico</style></author><author><style face="normal" font="default" size="100%">Marchetti, Federico</style></author><author><style face="normal" font="default" size="100%">Gasparini, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vertebral defects in patients with Peters plus syndrome and mutations in B3GALTL.</style></title><secondary-title><style face="normal" font="default" size="100%">Ophthalmic Genet</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Ophthalmic Genet.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Abnormalities, Multiple</style></keyword><keyword><style  face="normal" font="default" size="100%">Alternative Splicing</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Cleft Lip</style></keyword><keyword><style  face="normal" font="default" size="100%">Consanguinity</style></keyword><keyword><style  face="normal" font="default" size="100%">Cornea</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Galactosyltransferases</style></keyword><keyword><style  face="normal" font="default" size="100%">Glucosyltransferases</style></keyword><keyword><style  face="normal" font="default" size="100%">Growth Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Limb Deformities, Congenital</style></keyword><keyword><style  face="normal" font="default" size="100%">Point Mutation</style></keyword><keyword><style  face="normal" font="default" size="100%">Spine</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Nov</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">32</style></volume><pages><style face="normal" font="default" size="100%">256-8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">4</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21671750?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pontillo, Alessandra</style></author><author><style face="normal" font="default" size="100%">Brandão, Lucas A</style></author><author><style face="normal" font="default" size="100%">Guimarães, Rafael L</style></author><author><style face="normal" font="default" size="100%">Segat, Ludovica</style></author><author><style face="normal" font="default" size="100%">Athanasakis, Emmanouil</style></author><author><style face="normal" font="default" size="100%">Crovella, Sergio</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A 3'UTR SNP in NLRP3 gene is associated with susceptibility to HIV-1 infection.</style></title><secondary-title><style face="normal" font="default" size="100%">J Acquir Immune Defic Syndr</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Acquir. Immune Defic. Syndr.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Brazil</style></keyword><keyword><style  face="normal" font="default" size="100%">Carrier Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Case-Control Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Predisposition to Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">HIV Infections</style></keyword><keyword><style  face="normal" font="default" size="100%">HIV-1</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant</style></keyword><keyword><style  face="normal" font="default" size="100%">Infectious Disease Transmission, Vertical</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Pregnancy</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">236-40</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;OBJECTIVES: &lt;/b&gt;Innate immunity genes polymorphisms are known to be involved in the multifactorial susceptibility to HIV-1 infection. Recently it has been hypothesized that inflammasomes could play an important role in the host response to viruses. The aim of our study is to verify if single-nucleotide polymorphisms (SNPs) in genes encoding for NALPs-innate immune receptors that form molecular complexes leading to the production of IL-1beta and the activation of immune response-could influence the individual susceptibility to HIV-1.&lt;/p&gt;&lt;p&gt;&lt;b&gt;DESIGN: &lt;/b&gt;We performed an association study analyzing 2 NLRP1 and NLRP3 SNPs in HIV-1 vertically infected Brazilian children (n = 135), HIV-1-infected Brazilain adults (n = 192) and HIV-1-positive Italian seropositive subjects (n = 192).&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;The 3'UTR NLRP3 rs10754558 SNP was associated with HIV-1 infection in all the studied groups. The frequency of rs10754558 G allele was differently distributed within seropositive subjects (HIV+) and controls, and in particular the GG genotype was less frequent in HIV+.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;susceptibility to HIV-1 infection is associated with a 3'UTR NLRP3 polymorphism. This is the first report linking SNPs in the NALPs with HIV-1 infection, and further epidemiologic and functional studies are needed to deeper investigate the role of inflammasome in the susceptibility to HIV-1 infection.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/20502346?dopt=Abstract</style></custom1></record></records></xml>