Publications by authors named "Barizzone N"

The role of the microbiota in health and disease has long been recognized and, so far, the cutaneous microbiota in humans has been widely investigated. The research regarded mainly the microbiota variations between body districts and disease skin states (i.e.

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Multiple sclerosis (MS) is a complex demyelinating disease of the central nervous system, presenting with different clinical forms, including clinically isolated syndrome (CIS), which is a first clinical episode suggestive of demyelination. Several molecules have been proposed as prognostic biomarkers in MS. We aimed to perform a scoping review of the potential use of prognostic biomarkers in MS clinical practice.

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Background: Over 200 genetic loci have been associated with multiple sclerosis (MS) explaining ~ 50% of its heritability, suggesting that additional mechanisms may account for the "missing heritability" phenomenon.

Objective: To analyze a large cohort of Italian individuals to identify markers associated with MS with potential functional impact in the disease.

Methods: We studied 2571 MS and 3234 healthy controls (HC) of continental Italian origin.

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Background And Aims: The association between lifestyle factors and Multiple Sclerosis (MS) disease severity and progression has been investigated to a lesser extent compared with susceptibility to the disease. We aimed to assess the impact of lifetime coffee and tea consumption on MS severity.

Methods: Design: cross-sectional study.

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Genome-wide association studies identified over 200 risk loci for multiple sclerosis (MS) focusing on common variants, which account for about 50% of disease heritability. The goal of this study was to investigate whether low-frequency and rare functional variants, located in MS-established associated loci, may contribute to disease risk in a relatively homogeneous population, testing their cumulative effect (burden) with gene-wise tests. We sequenced 98 genes in 588 Italian patients with MS and 408 matched healthy controls (HCs).

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Background: Multiple Sclerosis (MS) is a chronic inflammatory and neurodegenerative demyelinating disease of the central nervous system. It is a complex and heterogeneous disease caused by a combination of genetic and environmental factors, and it can cluster in families.

Objective: to evaluate at gene-level the aggregate contribution of predicted damaging low-frequency and rare variants to MS risk in multiplex families.

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Normal tissue radiosensitivity is thought to be influenced by an individual's genetic background. However, the specific genetic variants underlying the risk of late skin reactions following radiotherapy for breast cancer remain elusive. To unravel the genetic basis for radiation-induced late skin toxicity, we carried out targeted next-generation sequencing of germline DNA samples from 48 breast cancer patients with extreme late skin toxicity phenotypes, consisting of 24 cases with grade 2-3 subcutaneous fibrosis and/or grade 2-3 telangiectasia (LENT-SOMA scales) and 24 controls with grade 0 fibrosis and grade 0 telangiectasia.

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Known multiple sclerosis (MS) susceptibility variants can only explain half of the disease's estimated heritability, whereas low-frequency and rare variants may partly account for the missing heritability. Thus, here we sought to determine the occurrence of rare functional variants in a large Italian MS multiplex family with five affected members. For this purpose, we combined linkage analysis and next-generation sequencing (NGS)-based whole exome and whole genome sequencing (WES and WGS, respectively).

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Article Synopsis
  • * The MS risk allele for rs1077667 correlates with reduced TNFSF14 mRNA levels in blood cells, highlighting a potential mechanism by which it may influence MS risk.
  • * Patients with MS show lower TNFSF14 expression compared to healthy controls, and those carrying the MS risk allele have a higher count of LIGHT-positive immune cells, suggesting that altered TNFSF14 expression could contribute to MS development.
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Introduction: Italy is considered a high-risk country for multiple sclerosis (MS). Exploiting electronic health archives (EHAs) is highly useful to continuously monitoring the prevalence of the disease, as well as the care delivered to patients and its outcomes. The aim of this study was to validate an EHA-based algorithm to identify MS patients, suitable for epidemiological purposes, and to estimate MS prevalence in Piedmont (North Italy).

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  • Circulating periostin may serve as a biomarker for non-alcoholic fatty liver disease (NAFLD), but its relevance in Caucasian populations needs more investigation.
  • In a study of 74 NAFLD patients, no significant differences in plasma periostin levels were observed across different patient groups based on age, liver fibrosis, or steatosis, although levels were notably higher in those with hepatocellular carcinoma (HCC).
  • Genetic factors, particularly certain haplotypes, could influence periostin levels, suggesting a need for caution in considering periostin antagonists as a treatment option for NAFLD, while highlighting its potential in managing NAFLD-related HCC.
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  • An amendment to the original paper has been released.
  • The amendment contains updates or changes to the information originally presented.
  • A link to access this amendment is available at the top of the paper.
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Amyotrophic lateral sclerosis (ALS) is characterized by degeneration of upper and lower motor neurons. The hexanucleotide repeat expansion in C9orf72 gene (C9orf72-HRE) is the most frequent genetic cause of ALS. Since many ALS pedigrees showed incomplete penetrance, several genes have been analyzed as possible modifiers.

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Background: The etiopathology of multiple sclerosis (MS) is believed to include genetic and environmental factors. Human leukocyte antigen (HLA) alleles, in particular,  are associated with disease susceptibility, whereas Epstein Barr Virus (EBV) infection has long been suspected to play a role in disease pathogenesis. The aim of the present study is to evaluate correlations between HLA alleles and EBV infection in MS.

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Large expansions of a noncoding GGGGCC repeat in the C9orf72 gene are the main cause of amyotrophic lateral sclerosis (ALS). The GGGGCC repeat is contiguous with another GC-rich region. Recent studies reported a significantly higher frequency of insertions/deletions within the GC-rich region in patients carrying the GGGGCC expansion.

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Background: Genomewide association studies of autoimmune diseases have mapped hundreds of susceptibility regions in the genome. However, only for a few association signals has the causal gene been identified, and for even fewer have the causal variant and underlying mechanism been defined. Coincident associations of DNA variants affecting both the risk of autoimmune disease and quantitative immune variables provide an informative route to explore disease mechanisms and drug-targetable pathways.

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Article Synopsis
  • Pool-seq is a cost-effective method for sequencing DNA from multiple individuals, which is important for population genetics, but it poses challenges in accurately identifying genetic variants due to sequencing errors.
  • In a study involving 996 individuals in 83 pools, researchers demonstrated that allele frequency estimates from Pool-seq are reliable when compared to existing databases and individual SNP-genotyping data.
  • The authors developed a filtering guideline using the Kolmogorov-Smirnov statistical test to eliminate false positives while retaining true variants, making their approach applicable to other Pool-seq studies.
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Background: Several association studies confirmed high-mobility group-A2 gene (HMGA2) polymorphisms as the most relevant variants contributing to height variability. Animal models and deletions in humans suggest that alterations of HMGA2 might be relevant in causing short stature. Together, these observations led us to investigate the involvement of HMGA2 in idiopathic short stature (ISS) through an association study and a mutation screening.

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Background: Recent studies identified > 100 non-HLA (human leukocyte antigen) multiple sclerosis (MS) susceptibility variants in Northern European populations, but their role in Southern Europeans is largely unexplored.

Objective: We aimed to investigate the cumulative impact of those variants in two Mediterranean populations: Continental Italians and Sardinians.

Methods: We calculated four weighted Genetic Risk Scores (wGRS), using up to 102 non-HLA MS risk variants and 5 HLA MS susceptibility markers in 1691 patients and 2194 controls from continental Italy; and 2861 patients and 3034 controls from Sardinia.

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Background And Objective: We explored which clinical and biochemical variables predict conversion from clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) in a large international cohort.

Methods: Thirty-three centres provided serum samples from 1047 CIS cases with at least two years' follow-up. Age, sex, clinical presentation, T2-hyperintense lesions, cerebrospinal fluid (CSF) oligoclonal bands (OCBs), CSF IgG index, CSF cell count, serum 25-hydroxyvitamin D3 (25-OH-D), cotinine and IgG titres against Epstein-Barr nuclear antigen 1 (EBNA-1) and cytomegalovirus were tested for association with risk of CDMS.

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Immunological hallmarks of multiple sclerosis include the production of antibodies in the central nervous system, expressed as presence of oligoclonal bands and/or an increased immunoglobulin G index-the level of immunoglobulin G in the cerebrospinal fluid compared to serum. However, the underlying differences between oligoclonal band-positive and -negative patients with multiple sclerosis and reasons for variability in immunoglobulin G index are not known. To identify genetic factors influencing the variation in the antibody levels in the cerebrospinal fluid in multiple sclerosis, we have performed a genome-wide association screen in patients collected from nine countries for two traits, presence or absence of oligoclonal bands (n = 3026) and immunoglobulin G index levels (n = 938), followed by a replication in 3891 additional patients.

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Background: The role of genetic factors in influencing the clinical expression of multiple sclerosis (MS) is unclear.

Objective: The objective of this paper is to identify genes, pathways and networks implicated in age at onset (AAO) and severity, measured using the Multiple Sclerosis Severity Score (MSSS), of primary-progressive MS (PPMS).

Methods: We conducted a genome-wide association study (GWAS) of 470 PPMS patients of Italian origin:.

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We correlated the weighted genetic risk score measured using 107 established susceptibility variants for multiple sclerosis (MS) with the age at onset in bout-onset (BOMS, n=906) and progressive-onset MS Italian patients (PrMS) (n=544). We observed an opposite relationship in the two disease courses: a higher weighted genetic risk score was associated with an earlier age at onset in BOMS (rho= -0.1; p=5 × 10(-3)) and a later age at onset in PrMS cases (rho=0.

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Background: Month of birth has been associated in some studies with the susceptibility to develop Multiple Sclerosis (MS). However, only few studies have evaluated whether birth timing also affects disease progression.

Objectives: To assess whether season and month of birth are associated with disease progression in a large cohort of Italian patients.

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