Publications by authors named "Valentina Paracchini"

The SARS-CoV-2 BA.2.86 variant, also known as Pirola, has acquired over 30 amino acid changes in the Spike protein, evolving into >150 sublineages within ten months of its emergence.

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Background: Wastewater surveillance (WWS) acts as a vigilant sentinel system for communities, analysing sewage to protect public health by detecting outbreaks and monitoring trends in pathogens and contaminants. To achieve a thorough comprehension of present and upcoming practices and to identify challenges and opportunities for standardisation and improvement in WWS methodologies, two EU surveys were conducted targeting over 750 WWS laboratories across Europe and other regions. The first survey explored a diverse range of activities currently undertaken or planned by laboratories.

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DNA technology for food authentication is already well established, and with the advent of Next Generation Sequencing (NGS) and, more specifically, metabarcoding, compositional analysis of food at the molecular level has rapidly gained popularity. This has led to several reports in the media about the presence of foreign, non-declared species in several food commodities. As herbs and spices are attractive targets for fraudulent manipulation, a combination of digital PCR and metabarcoding by NGS was employed to check the purity of 285 oregano samples taken from the European market.

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Article Synopsis
  • - The study explored bacterial diversity and antibiotic resistance in two low-impact freshwater ecosystems (Variola and Tiber rivers) to assess natural antimicrobial resistance and its potential downstream spread.
  • - Water samples were collected and analyzed through 16S sequencing and culturable methods, revealing a higher bacterial load and broader resistance in the Tiber River compared to the Variola River.
  • - The majority of resistance detected was to β-lactam antibiotics, with co-resistance to other types also observed, indicating that even in natural settings, antibiotic resistance may pose a risk of spreading to humans or animals.
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The EU General Food Law not only aims at ensuring food safety but also to 'prevent fraudulent or deceptive practices; the adulteration of food; and any other practices which may mislead the consumer'. Especially the partial or complete, deliberate, and intentional substitution of valuable ingredients (e.g.

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Article Synopsis
  • A new database aims to gather all publicly available information on the performance of CE-marked diagnostic medical devices (IVDs) and laboratory-developed devices for COVID-19 in one place.
  • This database is manually curated, regularly updated, and serves as a follow-up to the European Commission's guidelines from April 2020.
  • The database is freely accessible to the public at https://covid-19-diagnostics.jrc.ec.europa.eu/.
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Next Generation Sequencing technologies significantly impact the field of Antimicrobial Resistance (AMR) detection and monitoring, with immediate uses in diagnosis and risk assessment. For this application and in general, considerable challenges remain in demonstrating sufficient trust to act upon the meaningful information produced from raw data, partly because of the reliance on bioinformatics pipelines, which can produce different results and therefore lead to different interpretations. With the constant evolution of the field, it is difficult to identify, harmonise and recommend specific methods for large-scale implementations over time.

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Gadoids are a group of fish with historical importance in the fishing industry. The high demand for cod is one of the reasons why cod products are often mislabelled, and numerous observations have been made on the replacement of Atlantic cod (Gadus morhua) by cheaper species or its illegal capture in contravention of fish quotas. Fish species identification is traditionally based on morphological features, but this may be difficult in case of heat-treated or processed products, or where the species look similar, as in the Gadoid group.

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Next-Generation Sequencing (NGS) technologies are expected to play a crucial role in the surveillance of infectious diseases, with their unprecedented capabilities for the characterisation of genetic information underlying the virulence and antimicrobial resistance (AMR) properties of microorganisms.  In the implementation of any novel technology for regulatory purposes, important considerations such as harmonisation, validation and quality assurance need to be addressed.  NGS technologies pose unique challenges in these regards, in part due to their reliance on bioinformatics for the processing and proper interpretation of the data produced.

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The development of an efficient seafood traceability framework is crucial for the management of sustainable fisheries and the monitoring of potential substitution fraud across the food chain. Recent studies have shown the potential of DNA barcoding methods in this framework, with most of the efforts focusing on using mitochondrial targets such as the and genes. In this article, we show the identification of novel targets in the nuclear genome, and their associated primers, to be used for the efficient identification of flatfishes of the family.

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Many food and feed additives result from fermentation of genetically modified (GM) microorganisms. For vitamin B2 (riboflavin), GM Bacillus subtilis production strains have been developed and are often used. The presence of neither the GM strain nor its recombinant DNA is allowed for fermentation products placed on the EU market as food or feed additive.

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Monitoring of the food chain to fight fraud and protect consumer health relies on the availability of methods to correctly identify the species present in samples, for which DNA barcoding is a promising candidate. The nuclear genome is a rich potential source of barcode targets, but has been relatively unexploited until now. Here, we show the development and use of a bioinformatics pipeline that processes available genome sequences to automatically screen large numbers of input candidates, identifies novel nuclear barcode targets and designs associated primer pairs, according to a specific set of requirements.

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Article Synopsis
  • The study focuses on the epidemiology of Hemolytic Uremic Syndrome (HUS) in children, particularly in a densely populated area of northern Italy, covering a 10-year period from 2003 to 2012.
  • It reports a mean annual incidence of HUS at 6.3 cases per million children under 18, with higher rates (15.7/million) in children under 5 years old, and finding that atypical HUS accounts for about 11.9% of cases.
  • The study emphasizes the importance of understanding HUS for public health planning and highlights its increasing incidence, which poses a financial burden on healthcare systems.
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Cystic fibrosis (CF) is caused by mutations in the CF transmembrane conductance regulator (CFTR) gene, with most of the mortality given by the lung disease. Human amniotic mesenchymal stromal (stem) cells (hAMSCs) hold great promise for regenerative medicine in the field of lung disease; however, their potential as therapeutics for CF lung disease has not been fully explored. In the present study, hAMSCs were analysed in co-cultures on Transwell filters with CF immortalized airway epithelial cells (CFBE41o- line) at different ratios to exploit their potency to resume basic defects associated with CF.

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Lung diseases represent a significant burden of morbidity and mortality worldwide. Current therapies have not proven adequate in the long term and are often associated with significant side effects. There has been recent interest in the regenerative/reparative potential of cell-based therapies, including cells derived from the placental tissues.

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The IRT screening test for the use in diagnosing newborns with CF has a high sensitivity but is not very specific resulting in a large number of screened positive infants found to have a normal sweat test. The aim of this study was to analyze the differences in b-IRT levels among different groups of newborns positive to NBS.Population data included all b-IRT positive (>99th centile) neonates born in Lombardia from 2000 to 2007.

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Splicing mutations account for approximately 12% of the 1,890 cystic fibrosis transmembrane conductance regulator (CFTR) gene mutations described in cystic fibrosis (CF). However, their impact on pre-mRNA processing frequently remains unclear. An interesting opportunity to study CFTR transcripts in vivo involves the use of RNA from nasal brushings.

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Cystic fibrosis (CF) is a monogenic disease caused by mutations in the CF transmembrane conductance regulator (CFTR) gene, with lung and liver manifestations. Because of pitfalls of gene therapy, novel approaches for reconstitution of the airway epithelium and CFTR expression should be explored. In the present study, human amniotic mesenchymal stem cells (hAMSCs) were isolated from term placentas and characterized for expression of phenotypic and pluripotency markers, and for differentiation potential towards mesoderm (osteogenic and adipogenic) lineages.

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Background: PCR-based diagnostic procedures are not able to characterise 6% of CF alleles. Recently, the application of array-CGH and of CFTR mRNA analysis has allowed the identification of new copy number mutations and splicing defects, that account for 2% and 13% of CF alleles, respectively, in the Italian population.

Methods: Here, we report the characterisation of a large duplication in CFTR gene through different methods: MLPA assay, RT-PCR and high-resolution array-CGH.

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Purpose: To develop an experimental model to assess the feasibility of polar body preimplantation genetic diagnosis without requiring oocyte fertilization.

Methods: First polar body was removed from donated oocytes and second polar body was biopsied after parthenogenetic activation. Molecular analysis on both polar bodies involved a fluorescent multiplex polymerase chain reaction of short-tandem repeat markers, closely linked to genes of interest.

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Background: The CFTR gene is tightly regulated and differentially expressed in many mucosal epithelial cell types. There is evidence of an increasing number of genomic variations in the intronic regions influencing mRNA splicing, and also the level of normal CFTR transcript.

Methods: In the present study, we investigate the molecular defect by RT-PCR analyzing the mRNA of 25 cystic fibrosis (CF) patients in whom only one or no CF allele had been identified after DNA analysis (of all the exons of the CFTR gene).

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Objective: The sweat test remains the gold standard for the diagnosis of Cystic Fibrosis (CF) even despite the availability of molecular analysis of Cystic Fibrosis Transmembrane Conductance Regulator gene (CFTR). We investigated the relationship between CFTR mutation analysis and sweat chloride concentration in a cohort of subjects with borderline sweat test values, in order to identify misdiagnosis of CF.

Design And Methods: In the period between March 2006 and February 2008 we performed 773 sweat tests in individuals referred for suspect CF.

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Data from the EXPAH project on PAH exposure and intermediary biomarkers were analyzed with respect to individual genotypes at seven metabolic gene loci. The GSTM1 null allele was associated with significantly higher levels of two biomarkers, malondialdehyde-2'-deoxyguanosine and benzo[a]pyrene DNA adducts in the total population from three Central and Eastern European countries. The CYP1B1 Leu/Val variant demonstrated effects on both markers of oxidative DNA damage in opposite directions, producing a higher level of M(1)dG with a trend from wild type (Leu/Leu) to heterozygotes to homozygous (Val/Val) variants, whereas the effects of these variants were reversed for 8-oxodG.

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The association between the cytochrome P-450 1B1 (CYP1B1) Val432Leu polymorphism and breast cancer was assessed through a meta-analysis of all published case-control studies and a pooled analysis of both published and unpublished case-control studies from the Genetic Susceptibility to Environmental Carcinogens (GSEC) database ( www.upci.upmc.

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Cytochrome P450 (CYP) is a multigene family of enzymes involved in important life functions; some of these genes are inducible and are implicated in the oxidative metabolic activation and detoxification of many endogenous and exogenous compounds. CYP1B1 codes for an enzyme that catalyses the production of a 2- and 4-hydroxyl group in estrone and estradiol, while CYP1A1 catalyzes the 2-hydroxylation of estradiol in endometrium. The two genes were evaluated in a cohort of 150 subjects: African-American women had significantly lower 2-hydroxyl estrone/16-hydroxyl estrone (2-OHE1/16-OHE1) urinary metabolite ratios than Caucasian women (2.

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