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Dive into the research topics where Enrico Lavezzo is active.

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Featured researches published by Enrico Lavezzo.


International Journal of Molecular Sciences | 2011

Applications of Next-Generation Sequencing Technologies to Diagnostic Virology

Luisa Barzon; Enrico Lavezzo; Valentina Militello; Stefano Toppo; Giorgio Palù

Novel DNA sequencing techniques, referred to as “next-generation” sequencing (NGS), provide high speed and throughput that can produce an enormous volume of sequences with many possible applications in research and diagnostic settings. In this article, we provide an overview of the many applications of NGS in diagnostic virology. NGS techniques have been used for high-throughput whole viral genome sequencing, such as sequencing of new influenza viruses, for detection of viral genome variability and evolution within the host, such as investigation of human immunodeficiency virus and human hepatitis C virus quasispecies, and monitoring of low-abundance antiviral drug-resistance mutations. NGS techniques have been applied to metagenomics-based strategies for the detection of unexpected disease-associated viruses and for the discovery of novel human viruses, including cancer-related viruses. Finally, the human virome in healthy and disease conditions has been described by NGS-based metagenomics.


Eurosurveillance | 2016

Isolation of infectious Zika virus from saliva and prolonged viral RNA shedding in a traveller returning from the Dominican Republic to Italy, January 2016

Luisa Barzon; Monia Pacenti; Alessandro Berto; Alessandro Sinigaglia; Elisa Franchin; Enrico Lavezzo; Pierluigi Brugnaro; Giorgio Palù

We report the isolation of infectious Zika virus (ZIKV) in cell culture from the saliva of a patient who developed a febrile illness after returning from the Dominican Republic to Italy, in January 2016. The patient had prolonged shedding of viral RNA in saliva and urine, at higher load than in blood, for up to 29 days after symptom onset. Sequencing of ZIKV genome showed relatedness with strains from Latin America.


BMC Bioinformatics | 2012

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

Marco Falda; Stefano Toppo; Alessandro Pescarolo; Enrico Lavezzo; Barbara Di Camillo; Andrea Facchinetti; Elisa Cilia; Riccardo Velasco; Paolo Fontana

BackgroundPredicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic scale, are necessary and urgent. In this scenario, the Gene Ontology has provided the means to standardize the annotation classification with a structured vocabulary which can be easily exploited by computational methods.ResultsArgot2 is a web-based function prediction tool able to annotate nucleic or protein sequences from small datasets up to entire genomes. It accepts as input a list of sequences in FASTA format, which are processed using BLAST and HMMER searches vs UniProKB and Pfam databases respectively; these sequences are then annotated with GO terms retrieved from the UniProtKB-GOA database and the terms are weighted using the e-values from BLAST and HMMER. The weighted GO terms are processed according to both their semantic similarity relations described by the Gene Ontology and their associated score. The algorithm is based on the original idea developed in a previous tool called Argot. The entire engine has been completely rewritten to improve both accuracy and computational efficiency, thus allowing for the annotation of complete genomes.ConclusionsThe revised algorithm has been already employed and successfully tested during in-house genome projects of grape and apple, and has proven to have a high precision and recall in all our benchmark conditions. It has also been successfully compared with Blast2GO, one of the methods most commonly employed for sequence annotation. The server is freely accessible at http://www.medcomp.medicina.unipd.it/Argot2.


Eurosurveillance | 2016

Infection dynamics in a traveller with persistent shedding of Zika virus RNA in semen for six months after returning from Haiti to Italy, January 2016.

Luisa Barzon; Monia Pacenti; Elisa Franchin; Enrico Lavezzo; Marta Trevisan; Dino Sgarabotto; Giorgio Palù

We describe the dynamics of Zika virus (ZIKV) infection in a man in his early 40s who developed fever and rash after returning from Haiti to Italy, in January 2016. Follow-up laboratory testing demonstrated detectable ZIKV RNA in plasma up to day 9 after symptom onset and in urine and saliva up to days 15 and 47, respectively. Notably, persistent shedding of ZIKV RNA was demonstrated in semen, still detectable at 181 days after onset.


Journal of Clinical Virology | 2013

Next-generation sequencing technologies in diagnostic virology

Luisa Barzon; Enrico Lavezzo; Giulia Costanzi; Elisa Franchin; Stefano Toppo; Giorgio Palù

The data deluge produced by next-generation sequencing (NGS) technologies is an appealing feature for clinical virologists that are involved in the diagnosis of emerging viral infections, molecular epidemiology of viral pathogens, drug-resistance testing, and also like to do some basic and clinical research. Indeed, NGS platforms are being implemented in many clinical and research laboratories, as the costs of these platforms are progressively decreasing. We provide here some suggestions for virologists who are planning to implement a NGS platform in their clinical laboratory and an overview on the potential applications of these technologies in diagnostic virology.


Journal of Clinical Virology | 2011

Human papillomavirus genotyping by 454 next generation sequencing technology.

Luisa Barzon; Valentina Militello; Enrico Lavezzo; Elisa Franchin; Elektra Peta; Laura Squarzon; Marta Trevisan; Silvana Pagni; Federico Dal Bello; Stefano Toppo; Giorgio Palù

BACKGROUND An accurate tool for human papillomavirus (HPV) typing is important both for management of patients with HPV infection and for surveillance studies. OBJECTIVES Design and evaluation of an HPV typing method based on 454 next generation sequencing (NGS) technology. STUDY DESIGN Development of an HPV typing method based on 454 NGS of HPV L1 amplicons generated with MY09/11-based primers. Evaluation of the NGS method in control samples and in a panel of cervical cytological samples. Comparison of the NGS typing method with cycle sequencing and with the reverse hybridization-based INNO-LiPA HPV Genotyping Extra assay (LiPA). RESULTS In control samples carrying mixtures of HPV16 and HPV18 DNA, the NGS method could reliably detect genotype sequences occurring at a frequency of 1% in multiple infections with a sensitivity of 100 genome equivalents/μL. In cervical cytology samples, comparison with cycle sequencing demonstrated accuracy of HPV typing by NGS. The NGS method had however lower sensitivity for some HPV types than LiPA, conceivably due to the poor sensitivity of the MY09/11-based primers. At variance, LiPA could not detect HPV types which were present in low proportion in multiple infections (<10% of HPV reads obtained by NGS). In addition, NGS allowed identifying the presence of different variants of the same HPV type in a specimen. CONCLUSIONS NGS is a promising method for HPV typing because of its high sensitivity in multiple infection and its potential ability to detect a broad spectrum of HPV types, subtypes, and variants.


Gut Pathogens | 2012

KPC-mediated resistance in Klebsiella pneumoniae in two hospitals in Padua, Italy, June 2009-December 2011: massive spreading of a KPC-3-encoding plasmid and involvement of non-intensive care units

Sara N. Richter; Ilaria Frasson; Elisa Franchin; Cristina Bergo; Enrico Lavezzo; Luisa Barzon; Antonietta Cavallaro; Giorgio Palù

BackgroundKlebsiella pneumoniae carbapenemases (KPCs) producing bacteria have emerged as a cause of multidrug-resistant nosocomial infections worldwide. KPCs are plasmid-encoded enzymes capable of hydrolysing a broad spectrum of beta-lactams, including carbapenems and monobactams, therefore worryingly limiting antimicrobial treatment options. Analysis of circulating bacterial strains and KPC alleles may help understanding the route of KPC dissemination and therefore help containing the infection.MethodsKPC-producing Klebsiella pneumoniae dissemination in two 1580- and 300- bed hospitals in Padua, Italy, from initial outbreak in 2009 to late 2011 was analysed. Molecular and clinical epidemiology, including bacterial strains, KPC-encoding plasmid sequences and associated resistance genes, involved hospital wards and relocation of patients were described. Routine antimicrobial susceptibility testing and MIC of carbapenems on clinical isolates were performed. Detection of resistance genes was obtained by PCR and sequencing. MLST, PFGE and ERIC were used for molecular genotyping. Plasmid analysis was obtained by digestion with restriction enzymes and deep sequencing.ResultsKPC-positive clinical samples were isolated from nearly 200 patients. In the initial outbreak intensive care units were almost exclusively involved, while medical, surgical and long-term wards were successively massively concerned. Analysis of KPC alleles, plasmids and bacterial sequence types (STs) indicated that during the initial outbreak KPC-3 in ST258 and KPC-2 in ST147 were each confined in one of the two surveilled hospitals. While KPC-2 dissemination was effectively contained, KPC-3 in ST258 cross-spreading was observed. The simultaneous presence of two carbapenemases, VIM-1 and KPC-2, in the same isolate was also observed in three patients. Total sequencing of plasmid content of two KPC-3 strains showed novel association of resistance plasmids.ConclusionsThe acquired molecular epidemiology demonstrated that 1) both acquisitions from outward sources and patient relocation within the hospitals were responsible for the observed spreading; 2) KPC-3-encoding Klebsiella pneumoniae ST258 prevailed over other strains. In addition, the described massive transfer of KPC-mediated resistance to non-intensive care units may anticipate spreading of resistance to the non-hospitalized population. Therefore, genotypic analysis alongside phenotypic identification of carbapenemase producers, also at the carriage state, is advisable to prevent and contain further carbapenemase resistance dissemination.


Eurosurveillance | 2013

Whole genome sequencing and phylogenetic analysis of West Nile virus lineage 1 and lineage 2 from human cases of infection, Italy, August 2013.

Luisa Barzon; Monia Pacenti; Elisa Franchin; Enrico Lavezzo; Giulia Masi; Laura Squarzon; Silvana Pagni; Stefano Toppo; Francesca Russo; Margherita Cattai; Riccardo Cusinato; Giorgio Palù

A human outbreak of West Nile virus (WNV) infection caused by WNV lineage 2 is ongoing in northern Italy. Analysis of six WNV genome sequences obtained from clinical specimens demonstrated similarities with strains circulating in central Europe and Greece and the presence of unique amino acid changes that identify a new viral strain. In addition, WNV lineage 1 Livenza, responsible for a large outbreak in north-eastern Italy in 2012, was fully sequenced from a blood donor during this 2013 outbreak.


Journal of Clinical Microbiology | 2012

Antimicrobial Treatment and Containment Measures for an Extremely Drug-Resistant Klebsiella pneumoniae ST101 Isolate Carrying pKPN101-IT, a Novel Fully Sequenced blaKPC-2 Plasmid

Ilaria Frasson; Enrico Lavezzo; Elisa Franchin; Stefano Toppo; Luisa Barzon; Antonietta Cavallaro; Sara N. Richter; Giorgio Palù

ABSTRACT An extremely drug-resistant Klebsiella pneumoniae isolate, sequence type ST101, was isolated from a patient in Italy. We describe antibiotic treatment, measures to clear and contain the infection, and a complete sequence analysis of a novel large plasmid, pKPN101-IT, harboring the bla KPC-2 gene and arising from the threatening recombination of different worldwide-distributed backbones.


Digestive Diseases | 2010

Oxidative Stress and Inducible Nitric Oxide Synthase Induction in Carcinogenesis

Fabio Farinati; M. Piciocchi; Enrico Lavezzo; Marina Bortolami; Romilda Cardin

Background: Chronic inflammation is linked to an increased risk of cancer. The molecular mechanisms underlying this correlation have been long investigated and it is well known that the inflammatory cells recruited in the inflamed tissues release chemical mediators, in particular reactive oxygen species (ROS). With respect to digestive systems, ROS have been implicated in a number of pathologies, including Helicobacter pylori-related gastritis, Barrett’s esophagus, inflammatory disease of the lower gastrointestinal tract, alcoholic liver disease and several other types of toxic and virus-mediated liver injury. ROS levels within cells and tissues are controlled by numerous antioxidant defense mechanisms, but in inflammation, ROS overproduction exceeds defenses and damage intracellular macromolecules, including nucleic acids, with formation of potentially mutagenic and carcinogenic DNA adducts. Aims: This paper summarizes our own experience investigating the link between inflammation, ROS production and oxidative DNA damage as well as the impact of the above events on cytokine and growth factor release, oncogene activation, telomere instability and microRNA in H. pylori-related gastritis, Barrett’s esophagus and, in particular, hepatitis C virus-related liver disease. The paper also describes, at least in part, the complex scenario involving nitric oxide production and its impact in some gastrointestinal diseases, as well as a number of other molecular and biochemical changes related to ROS production and inflammation. Conclusions: The paper falls obviously short of being an exhaustive summary of our understanding, but the data reported are intended as a stimulus to broaden the knowledge on the topic, also in view of the possible therapeutic implications of any advance obtained.

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Francesca Finotello

Innsbruck Medical University

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