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Featured researches published by Pascale Trimoulet.


Hepatology | 2006

Anti‐hepatitis B virus efficacy of tenofovir disoproxil fumarate in HIV‐infected patients

Yves Benhamou; Hervé Fleury; Pascale Trimoulet; Isabelle Pellegrin; Renaud Urbinelli; Christine Katlama; Willy Rozenbaum; Gwenael Le Teuff; Aldo Trylesinski; Christophe Piketty

Tenofovir disoproxil fumarate (TDF) has shown in vitro activity against both HIV and hepatitis B virus (HBV). We retrospectively evaluated the efficacy of TDF (300 mg/d), administered as a part of anti‐retroviral therapy, in a large cohort of HIV/HBV‐coinfected patients. Sixty‐five HIV/HBV‐coinfected patients who received TDF for at least 6 months with serum HBV DNA levels above 2.3 log10 copies/mL at TDF initiation and who had stored serum samples before and during TDF therapy were included. Serum HBV DNA was measured on stored samples. The median follow‐up period was 12 (Q1‐Q3: 8‐17) months. Serum hepatitis B e antigen (HBeAg) was positive in 54 patients (83.1%). Fifty‐two patients (80.0%) were receiving lamivudine (LAM) (150 mg twice a day), and 68.8% had documented LAM resistance at baseline. Among HBeAg‐positive patients, the median reduction from baseline (8.17; Q1‐Q3 = 7.30‐8.30 log10 copies/mL) of serum HBV DNA was 4.56 log10 copies/mL (Q1‐Q3 = 3.33‐5.55) (P < .0001). In HBeAg‐negative patients, serum HBV DNA decline from baseline (4.83; Q1‐Q3 = 2.69‐6.40 log10 copies/mL) was 2.53 log10 copies/mL (Q1‐Q3 = 0.39‐4.10). At the end of the study, HBV DNA became undetectable in 29.6% and 81.6% of the HBeAg‐positive and HBeAg ‐negative patients, respectively. Serum HBeAg became negative in 4 patients, 2 of whom acquired serum hepatitis B e antibody. In conclusion, this retrospective analysis demonstrates the efficacy of TDF against wild‐type, presumed precore mutants and LAM‐resistant HBV when used as a part of anti‐retroviral therapy in HIV‐coinfected patients. (HEPATOLOGY 2006;43:548–555.)


Journal of Viral Hepatitis | 2005

Changing of hepatitis C virus genotype patterns in France at the beginning of the third millenium: The GEMHEP GenoCII Study.

C. Payan; F. Roudot-Thoraval; Patrick Marcellin; N. Bled; Gilles Duverlie; I. Fouchard-Hubert; Pascale Trimoulet; P. Couzigou; D. Cointe; C. Chaput; Cécile Henquell; Armand Abergel; Jean-Michel Pawlotsky; C. Hezode; M. Coudé; A. Blanchi; Sophie Alain; V. Loustaud-Ratti; P. Chevallier; Christian Trepo; V. Gerolami; I. Portal; Philippe Halfon; Marc Bourlière; M. Bogard; E. Plouvier; C. Laffont; G. Agius; C. Silvain; V. Brodard

Summary.  This cross‐sectional study aimed to investigate, during a short period between 2000 and 2001, in a large population of patients with chronic hepatitis C, the epidemiological characteristics of hepatitis C virus (HCV) genotypes in France. Data from 26 referral centres, corresponding to 1769 patients with chronic hepatitis C were collected consecutively during a 6‐month period. HCV genotyping in the 5′‐non‐coding region (NCR) was performed in each center using the line probe assay (LiPA, in 63% of cases), sequencing (25%) or primer‐specific polymerase chain reaction (PCR) (12%). HCV genotypes 1a, 1b, 2, 3, 4, 5, non‐subtyped 1 and mixed infection were found in 18, 27, 9, 21, 9, 3, 11 and 1% of our population, respectively. HCV genotype distribution was associated with gender, age, source and duration of infection, alanine aminotransferase (ALT) levels, cirrhosis, alcohol consumption, hepatitis B virus (HBV) and human immunodeficiency virus (HIV) coinfection. In multivariate analysis, only the source of infection was the independent factor significantly associated with genotype (P = 0.0001). In conclusion, this study shows a changing pattern of HCV genotypes in France, with i.v. drug abuse as the major risk factor, an increase of genotype 4, and to a lesser extent 1a and 5, and a decrease of genotypes 1b and 2. The modification of the HCV genotype pattern in France in the next 10 years may require new therapeutic strategies, and further survey studies.


Journal of Clinical Microbiology | 2001

Hepatitis C Virus Genotyping Based on 5′ Noncoding Sequence Analysis (Trugene)

Philippe Halfon; Pascale Trimoulet; Marc Bourlière; Hacène Khiri; V. de Lédinghen; P. Couzigou; J. M. Feryn; P. Alcaraz; Christophe Renou; Hervé Fleury; Denis Ouzan

ABSTRACT Hepatitis C virus (HCV) genotyping of samples from 184 patients with chronic HCV infection by the Trugene 5′NC genotyping kit, based on sequence analysis of the 5′ noncoding region (5′ NCR), and the InnoLiPA assay was evaluated. In addition to these methods, the 184 samples were also analyzed by sequencing of part of the NS5B of the HCV genome after in-house PCR amplification, as a means of validating results obtained with the 5′ NCR. The distribution of the genotypes typed by NS5B sequence analysis was as follows: 1a, 41 samples; 1b, 58 samples; 1d, 1 sample; 2a, 5 samples; 2b, 2 samples; 2c, 7 samples; 3a, 46 samples; 4a, 7 samples; 4c, 1 samples; 4e, 9 samples; 5a, 6 samples; 6a, 1 sample. The Trugene and InnoLiPA assays gave concordant results within HCV types in 100% of cases. The ability to discriminate at the subtype level was 76 and 74% for the Trugene and the InnoLiPA assays, respectively.


Alimentary Pharmacology & Therapeutics | 2011

Transient elastography and biomarkers for liver fibrosis assessment and follow‐up of inactive hepatitis B carriers

Laurent Castera; P.H. Bernard; B. Le Bail; Juliette Foucher; Pascale Trimoulet; Wassil Merrouche; P. Couzigou; V. de Ledinghen

Background  Non invasive methods for fibrosis evaluation remain to be validated longitudinally in hepatitis B.


Journal of Medical Virology | 2009

Influence of the HCV subtype on the virological response to pegylated interferon and ribavirin therapy.

Florence Legrand-Abravanel; Philippe Colson; Hélène Leguillou-Guillemette; Laurent Alric; Isabelle Ravaux; Françoise Lunel-Fabiani; Magali Bouviers-Alias; Pascale Trimoulet; Marie Laure Chaix; Christophe Hézode; Juliette Foucher; Hélène Fontaine; Anne-Marie Roque-Afonso; Michèle Gassin; Evelyne Schvoerer; Catherine Gaudy; Bruno Roche; Michel Doffoel; Louis D'Alteroche; Sophie Vallet; Yazid Baazia; Bruno Pozzetto; Vincent Thibault; Jean-Baptiste Nousbaum; Dominique Roulot; Henry Coppere; Thierry Poinard; Christopher Payan; Jacques Izopet

The hepatitis C virus genotype is considered to be the most important baseline predictor of a sustained virological response in patients with chronic hepatitis C treated with pegylated interferon and ribavirin. The influence of the subtype on the sustained virological response was investigated in patients infected with genotypes 1, 4, 5, or 6. This study was done on 597 patients with chronic hepatitis C who were given pegylated interferon and ribavirin for 48 weeks. The overall rate of sustained virological response in the 597 patients was 37.8%. Univariate analysis indicated that the sustained virological response of patients infected with subtype 1b (39%) tended to be higher than that of patients infected with subtype 1a (30.6%; P = 0.06) and it was similar to those patients infected with subtypes 4a (51.3%; P = 0.12) or 4d (51.7%; P = 0.16). Multivariate analysis indicated that five factors were independently associated with sustained virological response: the age (OR 0.97; 95% CI = 0.95–0.99), absence of cirrhosis (OR: 2.92; 95% CI = 1.7–5.0; P < 0.01), absence of HIV co‐infection (OR: 2.08; 95% CI = 1.2–3.5; P < 0.01), low baseline plasma HCV RNA concentration (OR: 1.74; 95% CI = 1.2–2.6; P < 0.01), and the subtype 1b (OR: 1.61; 95% CI = 1.0–2.5; P = 0.04) or subtypes 4a and 4d (OR: 2.03; 95% CI = 1.1–3.8; P = 0.03). In conclusion, among difficult‐to‐treat genotypes, the subtype 1a is associated with a lower response to anti‐HCV therapy than subtypes 1b, 4a, and 4d. J. Med. Virol. 81:2029–2035, 2009.


BMC Medical Research Methodology | 2006

Estimation of dynamical model parameters taking into account undetectable marker values

Rodolphe Thiébaut; Jeremie Guedj; Hélène Jacqmin-Gadda; Geneviève Chêne; Pascale Trimoulet; Didier Neau; Daniel Commenges

BackgroundMathematical models are widely used for studying the dynamic of infectious agents such as hepatitis C virus (HCV). Most often, model parameters are estimated using standard least-square procedures for each individual. Hierarchical models have been proposed in such applications. However, another issue is the left-censoring (undetectable values) of plasma viral load due to the lack of sensitivity of assays used for quantification. A method is proposed to take into account left-censored values for estimating parameters of non linear mixed models and its impact is demonstrated through a simulation study and an actual clinical trial of anti-HCV drugs.MethodsThe method consists in a full likelihood approach distinguishing the contribution of observed and left-censored measurements assuming a lognormal distribution of the outcome. Parameters of analytical solution of system of differential equations taking into account left-censoring are estimated using standard software.ResultsA simulation study with only 14% of measurements being left-censored showed that model parameters were largely biased (from -55% to +133% according to the parameter) with the exception of the estimate of initial outcome value when left-censored viral load values are replaced by the value of the threshold. When left-censoring was taken into account, the relative bias on fixed effects was equal or less than 2%. Then, parameters were estimated using the 100 measurements of HCV RNA available (with 12% of left-censored values) during the first 4 weeks following treatment initiation in the 17 patients included in the trial. Differences between estimates according to the method used were clinically significant, particularly on the death rate of infected cells. With the crude approach the estimate was 0.13 day-1 (95% confidence interval [CI]: 0.11; 0.17) compared to 0.19 day-1 (CI: 0.14; 0.26) when taking into account left-censoring. The relative differences between estimates of individual treatment efficacy according to the method used varied from 0.001% to 37%.ConclusionWe proposed a method that gives unbiased estimates if the assumed distribution is correct (e.g. lognormal) and that is easy to use with standard software.


The Journal of Infectious Diseases | 2000

New Molecular Assays to Predict Occurrence of Cytomegalovirus Disease in Renal Transplant Recipients

Isabelle Pellegrin; Isabelle Garrigue; Didier K. Ekouevi; Lionel Couzi; Pierre Merville; Patrick Merel; Geneviève Chêne; Marie-Hélène Schrive; Pascale Trimoulet; Marie-Edith Lafon; Hervé Fleury

Thirty renal transplant recipients, after transplantation, were tested weekly with the following assays: cytomegalovirus (CMV) antigenemia (pp65 Ag), plasma qualitative Amplicor CMV (P-AMP), plasma and peripheral blood leukocyte quantitative Amplicor CMV monitor (P- and PBL-CMM), peripheral blood leukocyte (PBL) quantitative Quantiplex bDNA CMV, version 2.0 (bDNA), and whole-blood Nuclisens pp67 CMV (pp67). Eleven patients developed symptomatic CMV disease, and 7 developed asymptomatic CMV infection. For prediction of CMV disease, the sensitivity, specificity, and positive and negative predictive values, respectively, were as follows: 100%, 63%, 61%, and 100% for pp65 Ag; 100%, 42%, 50%, and 100% for bDNA; 91%, 47%, 50%, and 90% for PBL-CMM; 55%, 74%, 55%, and 74% for P-AMP; 55%, 74%, 55%, and 74% for P-CMM; and 64%, 79%, 64%, and 79% for pp67. First positive results in PBL were obtained 9-10 days before symptoms of CMV disease, compared with 5-6 days in plasma and 0 days in whole blood. PBL assays appear to be more appropriate than plasma assays when pre-emptive therapy is required to prevent the rapid progression from the first detection of the virus to CMV disease.


Alimentary Pharmacology & Therapeutics | 2007

Hepatic steatosis in HIV-HCV coinfected patients in France: comparison with HCV monoinfected patients matched for body mass index and HCV genotype

Laurent Castera; Marc-Arthur Loko; B. Le Bail; P. Coffie; V. de Ledinghen; Pascale Trimoulet; Maria Winnock; F. Dabis; Didier Neau

Background  Significance of steatosis in HIV‐HCV coinfection remains controversial.


Journal of Clinical Microbiology | 2002

Evaluation of the VERSANT HCV RNA 3.0 Assay for Quantification of Hepatitis C Virus RNA in Serum

Pascale Trimoulet; Philippe Halfon; Eric Pohier; Hacène Khiri; Geneviève Chêne; Hervé Fleury

ABSTRACT We assessed the performance of a new assay (VERSANT HCV RNA 3.0 [bDNA 3.0] assay [Bayer Diagnostics]) to quantitate HCV RNA levels and compared the results of the bDNA 3.0 assay to results of the Quantiplex HCV RNA 2.0 (bDNA 2.0) assay. Samples used in this study included 211 serum specimens from hepatitis C virus (HCV)-infected persons from two sites (Bordeaux and Marseille, France) with different genotypes; 383 serum specimens from HCV antibody-negative, HCV RNA-negative persons; and serial dilutions of World Health Organization (WHO) HCV RNA standard at a titer of 100,000 IU/ml. The specificity of the bDNA 3.0 assay was 98.2%. A high correlation was observed between expected and observed values in all dilutions of WHO standard (r = 0.9982), in serial dilutions of pooled samples (r = 0.9996), and in diluted sera from different HCV genotypes (r = 0.9930 to 0.9995). The standard deviations (SD) for the within-run and between-run reproducibility of the bDNA 3.0 assay were ≤0.2 and ≤0.14, respectively. The intersite SD ranged from 0.03 to 0.14. The bDNA 3.0 assay results were positively correlated with the bDNA 2.0 assay results (r = 0.9533). Taking in account the overall performance, this assay could be used as a routine tool for the HCV RNA quantification.


Digestive and Liver Disease | 2011

Role of hepatitis B virus genetic barrier in drug-resistance and immune-escape development

Valentina Svicher; V. Cento; R. Salpini; Fabio Mercurio; Maria Fraune; Bastian Beggel; Y. Han; Caterina Gori; Linda Wittkop; A. Bertoli; Valeria Micheli; G. Gubertini; R. Longo; S. Romano; M. Visca; V. Gallinaro; Nicoletta Marino; Francesco Mazzotta; Giuseppe Maria De Sanctis; Hervé Fleury; Pascale Trimoulet; Mario Angelico; Giuseppina Cappiello; X.X. Zhang; Jens Verheyen; Francesca Ceccherini-Silberstein; Carlo Federico Perno

BACKGROUND Impact of hepatitis B virus genetic barrier, defined as the number and type of nucleotide substitutions required to overcome drug/immune selective pressure, on drug-resistance/immune-escape development is unknown. METHODS Genetic barrier was calculated according to Van de Vijver (2006) in 3482 hepatitis B virus-reverse transcriptase/HBV surface antigen sequences from 555 drug-naïve patients and 2927 antiviral-treated patients infected with hepatitis B virus genotypes A-G. RESULTS Despite high natural variability, genetic barrier for drug-resistance development is identical amongst hepatitis B virus genotypes, but varies according to drug-resistance mutation type. Highest genetic barrier is found for secondary/compensatory mutations (e.g. rtL80I/V-rtL180M-rtV173L), whilst most primary mutations (including rtM204V-rtA181T/V-rtI169T-rtA194T) are associated with low genetic barrier. An exception is rtM204I, which can derive from a transition or a transversion. Genotypes A and G are more prone to develop immune/diagnostic-escape mutations sT114R and sG130N. Vaccine-escape associated sT131N-mutation is a natural polymorphism in both A and G genotypes. CONCLUSION Genetic barrier and reverse transcriptase/HBV surface antigen overlapping can synergistically influence hepatitis B virus drug-resistance/immune-escape development. The different immune-escape potential of specific hepatitis B virus genotypes could have important clinical consequences in terms of disease progression, vaccine strategies and correct HBV surface antigen detection.

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R. Salpini

University of Rome Tor Vergata

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A. Bertoli

University of Rome Tor Vergata

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Giuseppina Cappiello

Istituto Superiore di Sanità

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Pierre-Henri Bernard

Université Bordeaux Segalen

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