L. D'Erasmo
Sapienza University of Rome
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Featured researches published by L. D'Erasmo.
European Journal of Internal Medicine | 2014
M. Del Ben; Licia Polimeni; M. Brancorsini; A. Di Costanzo; L. D'Erasmo; Francesco Baratta; Lorenzo Loffredo; Daniele Pastori; Pasquale Pignatelli; Francesco Violi; Massimo Arcà; Francesco Angelico
BACKGROUND & AIMS Non-alcoholic fatty liver disease was traditionally interpreted as a condition which may progress to liver-related complications. However, the increased mortality is primarily a result of cardiovascular diseases. It has been suggested that fatty liver can be considered as the hepatic consequence of the metabolic syndrome. The aim was to describe the different clinical presentations of non-alcoholic fatty liver disease on the basis of the patatin-like phospholipase domain-containing protein3 (PNPLA3) rs738409 gene variant. METHODS Fatty liver was defined by ultrasonographic Hamaguchis criteria in 211 consecutive subjects with non-alcoholic fatty liver disease. The rs738409 polymorphism was determined by TaqMan assays. Metabolic syndrome was defined according to ATPIII modified criteria. RESULTS Prevalence of PNPLA3-148II, PNPLA3-148IM, and PNPLA3-148MM genotypes was 45.0%, 40.7%, and 14.3% respectively. Prevalence of metabolic syndrome progressively increased with the severity of liver steatosis (from 52.5% to 65.2%, and 82.3% respectively, p<0.01). The PNPLA3-148MM group had significantly lower mean serum triglycerides (p<0.001), Framingham cardiovascular risk score (p<0.01) and lower prevalence of metabolic syndrome (p<0.05) and its components. Age and HOMA-IR were positive independent predictors of metabolic syndrome, while a negative independent association was found between metabolic syndrome and the homozygotes PNPLA3 I148M variant. CONCLUSIONS We suggest a lower prevalence of MetS and reduced cardiovascular risk in NAFLD patients with PNPLA3MM genotype.
Journal of Clinical Lipidology | 2017
Robert A. Hegele; Amanda J. Berberich; Matthew R. Ban; Jian Wang; Andres Digenio; Veronica J. Alexander; L. D'Erasmo; Marcello Arca; Alan Jones; Eric Bruckert; Erik S.G. Stroes; Jean Bergeron; Fernando Civeira; Joseph L. Witztum; Daniel Gaudet
BACKGROUND Familial chylomicronemia syndrome (FCS) is an ultra-rare phenotype that is usually caused by biallelic mutations in the LPL gene encoding lipoprotein lipase, or less often in APOC2, APOA5, LMF1, or GPIHBP1 genes encoding cofactors or interacting proteins. OBJECTIVES We evaluated baseline phenotypes among FCS participants in a phase 3 randomized placebo-controlled trial of volanesorsen (NCT02211209). METHODS Baseline clinical, fasting, and postfat load metabolic markers were assessed. Targeted next-generation DNA sequencing plus custom bioinformatics was used to genotype subjects. RESULTS Among 52 FCS individuals, 41 had biallelic LPL gene mutations (LPL-FCS patients): 82%, 7%, and 11% were missense, nonsense, and splicing variants, respectively. Eleven individuals had non-LPL-FCS; 2 had mutations in APOA5, 5 in GPIHBP1, and 1 each in LMF1 and APOC2 genes, respectively. Two other individuals were double heterozygotes, each with 1 normal LPL allele. All subjects had extremely high triglycerides (TGs) and chylomicrons, but very low levels of other lipoproteins. Compared with LPL-FCS individuals, non-LPL-FCS individuals were very similar for most traits, but had significantly higher postheparin LPL activity, higher 4-hour postprandial insulin and C-peptide levels; and higher low-density lipoprotein cholesterol levels. In non-LPL-FCS individuals compared to those with LPL-FCS, there were also nonsignificant trends toward lower levels of total and chylomicron TGs, lower 4-hour postprandial chylomicron TG levels, and higher very-low-density lipoprotein TG levels. CONCLUSION Thus, LPL FCS and non-LPL FCS are largely phenotypically similar. However, LPL FCS patients have lower postheparin LPL activity and a trend toward higher TGs, whereas low-density lipoprotein cholesterol was higher in non-LPL-FCS patients.
Atherosclerosis | 2018
Philippe Moulin; Robert Dufour; Maurizio Averna; Marcello Arca; Angelo B. Cefalù; Davide Noto; L. D'Erasmo; Alessia Di Costanzo; Christophe Marçais; Luis Álvarez-Sala Walther; Maciej Banach; Jan Borén; Robert Cramb; Ioanna Gouni-Berthold; Elizabeth Hughes; Colin Johnson; Xavier Pintó; Željko Reiner; Jeanine E. Roeters van Lennep; Handrean Soran; Claudia Stefanutti; Erik S.G. Stroes; Eric Bruckert
Familial chylomicronaemia syndrome (FCS) is a rare, inherited disorder characterised by impaired clearance of triglyceride (TG)-rich lipoproteins from plasma, leading to severe hypertriglyceridaemia (HTG) and a markedly increased risk of acute pancreatitis. It is due to the lack of lipoprotein lipase (LPL) function, resulting from recessive loss of function mutations in the genes coding LPL or its modulators. A large overlap in the phenotype between FCS and multifactorial chylomicronaemia syndrome (MCS) contributes to the inconsistency in how patients are diagnosed and managed worldwide, whereas the incidence of acute hypertriglyceridaemic pancreatitis is more frequent in FCS. A panel of European experts provided guidance on the diagnostic strategy surrounding FCS and proposed an algorithm-based diagnosis tool for identification of these patients, which can be readily translated into practice. Features included in this FCS score comprise: severe elevation of plasma TGs (fasting TG levels >10 mmol/L [885 mg/dL] on multiple occasions), refractory to standard TG-lowering therapies, a young age at onset, the lack of secondary factors (except for pregnancy and oral oestrogens) and a history of episodes of acute pancreatitis. Considering 53 FCS patients from three cohorts and 52 MCS patients from three cohorts, the overall sensitivity of the FCS score (≥10) was 88% (95% confidence interval [CI]: 0.76, 0.97) with an overall specificity of 85% (95% CI: 0.75, 0.94). Receiver operating characteristic curve area was 0.91. Pragmatic clinical scoring, by standardising diagnosis, may help differentiate FCS from MCS, may alleviate the need for systematic genotyping in patients with severe HTG and may help identify high-priority candidates for genotyping.
Journal of Clinical Lipidology | 2017
Alessia Di Costanzo; Enza Di Leo; Davide Noto; Angelo B. Cefalù; Ilenia Minicocci; Luca Polito; L. D'Erasmo; Vito Cantisani; Rossella Spina; Patrizia Tarugi; Maurizio Averna; Marcello Arca
Atherosclerosis | 2018
L. D'Erasmo; A. Di Costanzo; F. Cassandra; Ilenia Minicocci; Luca Polito; Massimo Arcà
Nutrition Metabolism and Cardiovascular Diseases | 2017
L. D'Erasmo; Ilenia Minicocci; Luis Masana; Sergio Muntoni; Paolo Pintus; Stefano Bertolini; C.R. Sirtori; Laura Calabresi; C. Pavanello; Maurizio Averna; A.B. Cefalù; Davide Noto; Adolfo Pacifico; Giovanni Mario Pes; Mariko Harada-Shiba; J.R. Roeters Van Lennep; Renato Fellin; Enzo Manzato; Sabina Zambon; A. Zambon; P. Mata; R.M. Sánchez-Hernández; P. Prieto-Matos; J.T. Real; A. Vogt; Massimo Arcà
Nutrition Metabolism and Cardiovascular Diseases | 2017
A. Di Costanzo; Diego Bailetti; Marialuisa Sponziello; L. D'Erasmo; Licia Polimeni; Francesco Baratta; M. Del Ben; Giuseppe Giannini; Francesco Angelico; Massimo Arcà
Atherosclerosis | 2017
Alessia Di Costanzo; Diego Bailetti; Marialuisa Sponziello; L. D'Erasmo; Licia Polimeni; Francesco Baratta; Maria Del Ben; Giuseppe Giannini; Francesco Angelico; Marcello Arca
Atherosclerosis | 2015
A. Di Costanzo; L. D'Erasmo; Licia Polimeni; L. Loffredo; Paola Coletta; M. Del Ben; Francesco Angelico; Anna Montali; Gabriella Girelli; B. De Masi; Marianna Maranghi; Massimo Arcà
Journal of Hepatology | 2013
Licia Polimeni; M. Del Ben; D. Salzano; A. Di Costanzo; L. D'Erasmo; Francesco Baratta; Massimo Arcà; Francesco Angelico