Vito Lampasona

Dr. Vito Lampasona

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Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 October 2020 in Science
Verified
Journal Article
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PBPaul Bastard
Paul Bastard
LRLindsey B. Rosen
Lindsey B. Rosen
QZQian Zhang
Qian Zhang
EMEleftherios Michailidis
Eleftherios Michailidis
HHHans-Heinrich Hoffmann
Hans-Heinrich Hoffmann
JCJean-Laurent Casanova
Jean-Laurent Casanova
The genetics underlying severe COVID-19: The immune system is complex and involves many genes, including those that encode cytokines known as interferons (IFNs). Individuals that lack specific IFNs can be more susceptible to infectious diseases. Furthermore, the autoantibody system dampens IFN response to prevent damage from pathogen-induced inflammation. Two studies now examine the likelihood that genetics affects the risk of severe coronavirus disease 2019 (COVID-19) through components of this system (see the Perspective by Beck and Aksentijevich). Q. Zhang et al. used a candidate gene approach and identified patients with severe COVID-19 who have mutations in genes involved in the regulation of type I and III IFN immunity. They found enrichment of these genes in patients and conclude that genetics may determine the clinical course of the infection. Bastard et al. identified individuals with high titers of neutralizing autoantibodies against type I IFN-α2 and IFN-ω in about 10% of patients with severe COVID-19 pneumonia. These autoantibodies were not found either in infected people who were asymptomatic or had milder phenotype or in healthy individuals. Together, these studies identify a means by which individuals at highest risk of life-threatening COVID-19 can be identified. Science , this issue p. eabd4570 , p. eabd4585 ; see also p. 404

10 July 2009 in Diabetologia
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Journal Article
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PAP. Achenbach
P. Achenbach
VLVito Lampasona
Vito Lampasona
ULU. Landherr
U. Landherr
KKK. Koczwara
K. Koczwara
SKS. Krause
S. Krause
AZA. G. Ziegler
A. G. Ziegler

29 February 2016 in Clinical Cancer Research
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Journal Article
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MRMichele Reni
Michele Reni
EDErica Dugnani
Erica Dugnani
SCStefano Cereda
Stefano Cereda
CBCarmen Belli
Carmen Belli
Gianpaolo BalzanoGianpaolo Balzano
Gianpaolo Balzano
LPLorenzo Piemonti
Lorenzo Piemonti
Purpose: We aimed to assess the safety and efficacy of metformin for treating patients with metastatic pancreatic cancer and to identify endocrine and metabolic phenotypic features or tumor molecular markers associated with sensitivity to metformin antineoplastic action. Experimental Design: We designed an open-label, randomized, phase II trial to assess the efficacy of adding metformin to a standard systemic therapy with cisplatin, epirubicin, capecitabine, and gemcitabine (PEXG) in patients with metastatic pancreatic cancer. Patients ages 18 years or older with metastatic pancreatic cancer were randomly assigned (1:1) to receive PEXG every 4 weeks in combination or not with 2 g oral metformin daily. The primary endpoint was 6-months progression-free survival (PFS-6) in the intention-to-treat population. Results: Between August 2010 and January 2014, we randomly assigned 60 patients to receive PEXG with (n = 31) or without metformin (n = 29). At the preplanned interim analysis, the study was ended for futility. PFS-6 was 52% [95% confidence interval (CI), 33–69] in the control group and 42% (95% CI, 24–59) in the metformin group (P = 0.61). Furthermore, there was no difference in disease-free survival and overall survival between groups. Despite endocrine metabolic modifications induced by metformin, there was no correlation with the outcome. Single-nucleotide polymorphism rs11212617 predicted glycemic response, but not tumor response to metformin. Gene expression on tumor tissue did not predict tumor response to metformin. Conclusions: Addition of metformin at the dose commonly used in diabetes did not improve outcome in patients with metastatic pancreatic cancer treated with standard systemic therapy. Clin Cancer Res; 22(5); 1076–85. ©2015 AACR. See related commentary by Yang and Rustgi, p. 1031

16 April 2013 in Diabetes
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LPLorenzo Piemonti
Lorenzo Piemonti
MEMatthew J. Everly
Matthew J. Everly
PMPaola Maffi
Paola Maffi
MSMarina Scavini
Marina Scavini
FPFrancesca Poli
Francesca Poli
PTPaul I. Terasaki
Paul I. Terasaki
Long-term clinical outcome of islet transplantation is hampered by the rejection and recurrence of autoimmunity. Accurate monitoring may allow for early detection and treatment of these potentially compromising immune events. Islet transplant outcome was analyzed in 59 consecutive pancreatic islet recipients in whom baseline and de novo posttransplant autoantibodies (GAD antibody, insulinoma-associated protein 2 antigen, zinc transporter type 8 antigen) and donor-specific alloantibodies (DSA) were quantified. Thirty-nine recipients (66%) showed DSA or autoantibody increases (de novo expression or titer increase) after islet transplantation. Recipients who had a posttransplant antibody increase showed similar initial performance but significantly lower graft survival than patients without an increase (islet autoantibodies P < 0.001, DSA P < 0.001). Posttransplant DSA or autoantibody increases were associated with HLA-DR mismatches (P = 0.008), induction with antithymocyte globulin (P = 0.0001), and pretransplant panel reactive alloantibody >15% in either class I or class II (P = 0.024) as independent risk factors and with rapamycin as protective (P = 0.006) against antibody increases. DSA or autoantibody increases after islet transplantation are important prognostic markers, and their identification could potentially lead to improved islet cell transplant outcomes.

6 October 2009 in Diabetes Care
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Journal Article
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VLVito Lampasona
Vito Lampasona
APAntonio Petrone
Antonio Petrone
CTClaudio Tiberti
Claudio Tiberti
MCMarco Capizzi
Marco Capizzi
MSMarialuisa Spoletini
Marialuisa Spoletini
FGfor the Non Insulin Requiring Autoimmune Diabetes (NIRAD) Study Group
for the Non Insulin Requiring Autoimmune Diabetes (NIRAD) Study Group
OBJECTIVE Zinc transporter 8 (ZnT8) is an islet β-cell secretory granule membrane protein recently identified as an autoantibody antigen in type 1 diabetes. The aim of this study was to determine the prevalence and role of antibodies to ZnT8 (ZnT8As) in adult-onset diabetes. RESEARCH DESIGN AND METHODS ZnT8As were measured by a radioimmunoprecipitation assay using recombinant ZnT8 COOH-terminal or NH2-terminal proteins in 193 patients with adult-onset autoimmune diabetes having antibodies to either GAD (GADAs) or IA-2 (IA-2As) and in 1,056 antibody-negative patients with type 2 diabetes from the Non Insulin Requiring Autoimmune Diabetes (NIRAD) study. RESULTS ZnT8As-COOH were detected in 18.6% patients with autoimmune diabetes and 1.4% with type 2 diabetes. ZnT8As-NH2 were rare. ZnT8As were associated with younger age and a high GADA titer. The use of GADAs, IA-2As, and ZnT8As in combination allowed a stratification of clinical phenotype, with younger age of onset of diabetes and characteristics of more severe insulin deficiency (higher fasting glucose and A1C, lower BMI, total cholesterol, and triglycerides) in patients with all three markers, with progressive attenuation in patients with two, one, and no antibodies (all Ptrend < 0.001). Autoantibody titers, association with high-risk HLA genotypes, and prevalence of thyroid peroxidase antibodies followed the same trend (all P < 0.001). CONCLUSIONS ZnT8As are detectable in a proportion of patients with adult-onset autoimmune diabetes and seem to be a valuable marker to differentiate clinical phenotypes.

8 June 2004 in Neurology
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Journal Article
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VLVito Lampasona
Vito Lampasona
DFD. Franciotta
D. Franciotta
RFRoberto Furlan
Roberto Furlan
SZS. Zanaboni
S. Zanaboni
RFR. Fazio
R. Fazio
GMG. Martino
G. Martino
The authors used a liquid-phase radiobinding assay to measure serum anti-myelin oligodendrocyte protein (MOG) immunoglobulin (Ig) G in 87 patients with multiple sclerosis (MS), in 12 patients with encephalomyelitis, and in 47 healthy subjects. Anti-MOG IgM was determined in samples obtained at onset from 40 of 87 patients with MS and in control subjects. The frequency of positive samples with low titers of anti-MOG IgG (≤5.7%) and IgM (≤8.3%) was similar in all the groups and subgroups. Binding competition experiments showed that these antibodies had low affinity. Anti-MOG antibodies are not disease specific.