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Institution

Paris Descartes University

GovernmentParis, France
About: Paris Descartes University is a government organization based out in Paris, France. It is known for research contribution in the topics: Population & Immune system. The organization has 20987 authors who have published 37456 publications receiving 1206222 citations. The organization is also known as: Université Paris V-Descartes & Université de Paris V.


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Journal ArticleDOI
Ellis Voerman1, Susana Santos1, Bernadeta Patro Golab2, Bernadeta Patro Golab1, Pilar Amiano, Ferran Ballester3, Henrique Barros4, Anna Bergström5, Marie-Aline Charles6, Marie-Aline Charles7, Leda Chatzi8, Leda Chatzi9, Leda Chatzi10, Cécile Chevrier11, George P. Chrousos12, Eva Corpeleijn13, Nathalie Costet11, Sarah Crozier14, Graham Devereux15, Merete Eggesbø16, Sandra Ekström17, Maria Pia Fantini18, Sara Farchi, Francesco Forastiere, Vagelis Georgiu10, Keith M. Godfrey19, Keith M. Godfrey14, Davide Gori18, Veit Grote20, Wojciech Hanke21, Irva Hertz-Picciotto22, Barbara Heude7, Barbara Heude6, Daniel O. Hryhorczuk23, Rae-Chi Huang24, Hazel Inskip19, Hazel Inskip14, Nina Iszatt16, Anne M. Karvonen25, Louise C. Kenny26, Berthold Koletzko20, Leanne K. Küpers27, Hanna Lagström28, Irina Lehmann29, Per Magnus16, Renata Majewska30, Johanna Mäkelä31, Yannis Manios32, Fionnuala M. McAuliffe33, Sheila McDonald34, John Mehegan33, Monique Mommers35, Camilla Schmidt Morgen36, Camilla Schmidt Morgen37, Trevor A. Mori24, George Moschonis38, Deirdre M. Murray26, Carol Ní Chaoimh26, Ellen A. Nohr36, Anne-Marie Nybo Andersen37, Emily Oken39, Adriette J. J. M. Oostvogels35, Agnieszka Pac30, Eleni Papadopoulou16, Juha Pekkanen40, Costanza Pizzi41, Kinga Polańska21, Daniela Porta, Lorenzo Richiardi41, Sheryl L. Rifas-Shiman39, Luca Ronfani42, Ana Cristina Santos4, Marie Standl, Camilla Stoltenberg43, Elisabeth Thiering20, Carel Thijs35, Maties Torrent, Suzanne Tough34, Tomas Trnovec44, Steve Turner45, Lenie van Rossem46, Andrea von Berg, Martine Vrijheid47, Tanja G. M. Vrijkotte35, Jane West48, Alet H. Wijga, John Wright48, Oleksandr Zvinchuk, Thorkild I. A. Sørensen37, Debbie A Lawlor27, Romy Gaillard1, Vincent W. V. Jaddoe1 
TL;DR: In this article, the authors conducted an individual participant data meta-analysis of data from 162,129 mothers and children from 37 pregnancy and birth cohort studies from Europe, North-America and Australia, using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal socio-demographic and life style related characteristics.
Abstract: Background: Maternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these risks differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact. Methods and Findings: We conducted an individual participant data meta-analysis of data from 162,129 mothers and children from 37 pregnancy and birth cohort studies from Europe, North-America and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges with the risks of overweight/obesity in early- (2.0-5.0 years), mid- (5.0-10.0 years) and late childhood (10.0-18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal socio-demographic and life style related characteristics. We observed that a higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (Odds Ratios (OR) for overweight/obesity in early-, mid- and late childhood, respectively: 1.66 (95% Confidence Interval (CI): 1.56, 1.78), OR 1.91 (95% CI: 1.85, 1.98), and OR 2.28 (95% CI: 2.08, 2.50) for maternal overweight, OR 2.43 (95% CI: 2.24, 2.64), OR 3.12 (95% CI: 2.98, 3.27), and OR 4.47 (95% CI: 3.99, 5.23) for maternal obesity, and OR 1.39 (95% CI: 1.30, 1.49), OR 1.55 (95% CI: 1.49, 1.60), and 1.72 (95% CI: 1.56, 1.91) for excessive gestational weight gain. The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal obesity and excessive gestational weight gain ranged from 10.2 to 21.6%. Relative to the effect of maternal BMI, excessive gestational weight gain only slightly increased the risk of childhood overweight/obesity within each clinical BMI category (P-values for interactions of maternal BMI with gestational weight gain: p=0.038, p<0.001 and p=0.637, in early-, mid- and late childhood, respectively). Limitations of this study include the self-report of maternal BMI and gestational weight gain for some of the cohorts, and the potential of residual confounding. Also, as this study only included participants from Europe, North-America and Australia, results need to be interpreted with caution with respect to other populations. Conclusions: In this study, higher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity, with the strongest effects at later ages. The additional effect of gestational weight gain in women who are overweight or obese before pregnancy is small. Given the large population impact, future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight gain during pregnancy.

248 citations

Journal ArticleDOI
TL;DR: Current knowledge of the mechanisms underlying BCG-mediated tumour immunity are described and ways of augmenting BCG immunotherapy are discussed, which might successfully synergize with BCG to improve patient outcomes.
Abstract: BCG immunotherapy is the gold-standard treatment for non-muscle-invasive bladder cancer at high risk of recurrence or progression. Preclinical and clinical studies have revealed that a robust inflammatory response to BCG involves several steps: attachment of BCG; internalization of BCG into resident immune cells, normal cells, and tumour urothelial cells; BCG-mediated induction of innate immunity, which is orchestrated by a cellular and cytokine milieu; and BCG-mediated initiation of tumour-specific immunity. As an added layer of complexity, variation between clinical BCG strains might influence development of tumour immunity. However, more than 40 years after the first use of BCG for bladder cancer, many questions regarding its mechanism of action remain unanswered. Clearly, a better understanding of the mechanisms underlying BCG-mediated tumour immunity could lead to improved efficacy, increased tolerance of treatment, and identification of novel immune-based therapies. Indeed, enthusiasm for bladder cancer immunotherapy, and the possibility of combining BCG with other therapies, is increasing owing to the availability of targeted immunotherapies, including checkpoint inhibitors. Understanding of the mechanism of action of BCG immunotherapy has advanced greatly, but many questions remain, and further basic and clinical research efforts are needed to develop new treatment strategies for patients with bladder cancer.

248 citations

Journal ArticleDOI
TL;DR: The Randomized Evaluation of Long-Term Anticoagulant Therapy (RE-LY) trial randomized 18'113 patients (age, 71.5±9 years; male, 64%; CHADS2 score, 2.1±1) to receive dabigatran or warfarin this article.
Abstract: Background—Atrial fibrillation is associated with increased mortality, but the specific causes of death and their predictors have not been described among patients on effective anticoagulant therapy. Methods and Results—The Randomized Evaluation of Long-Term Anticoagulant Therapy (RE-LY) trial randomized 18 113 patients (age, 71.5±9 years; male, 64%; CHADS2 score, 2.1±1) to receive dabigatran or warfarin. Median follow-up was 2 years, and complete follow-up was achieved in 99.9% of patients. All deaths were categorized by the investigators using prespecified definitions followed by central adjudication. Overall, 1371 deaths occurred (annual mortality rate, 3.84%; 95% confidence interval [CI], 3.64–4.05). Cardiac deaths (sudden cardiac death and progressive heart failure) accounted for 37.4% of all deaths, whereas stroke- and hemorrhage-related deaths represented 9.8% of the total mortality. An examination of the causes of death according to dabigatran or warfarin showed that dabigatran significantly reduc...

248 citations

Journal ArticleDOI
TL;DR: It is found that the LN cascade provides accurate estimates of the firing rates of spiking neurons in most of parameter space, and an adaptive timescale rate model is introduced in which the timescale of the linear filter depends on the instantaneous firing rate.
Abstract: Neurons transform time-varying inputs into action potentials emitted stochastically at a time dependent rate. The mapping from current input to output firing rate is often represented with the help of phenomenological models such as the linear-nonlinear (LN) cascade, in which the output firing rate is estimated by applying to the input successively a linear temporal filter and a static non-linear transformation. These simplified models leave out the biophysical details of action potential generation. It is not a priori clear to which extent the input-output mapping of biophysically more realistic, spiking neuron models can be reduced to a simple linear-nonlinear cascade. Here we investigate this question for the leaky integrate-and-fire (LIF), exponential integrate-and-fire (EIF) and conductance-based Wang-Buzsaki models in presence of background synaptic activity. We exploit available analytic results for these models to determine the corresponding linear filter and static non-linearity in a parameter-free form. We show that the obtained functions are identical to the linear filter and static non-linearity determined using standard reverse correlation analysis. We then quantitatively compare the output of the corresponding linear-nonlinear cascade with numerical simulations of spiking neurons, systematically varying the parameters of input signal and background noise. We find that the LN cascade provides accurate estimates of the firing rates of spiking neurons in most of parameter space. For the EIF and Wang-Buzsaki models, we show that the LN cascade can be reduced to a firing rate model, the timescale of which we determine analytically. Finally we introduce an adaptive timescale rate model in which the timescale of the linear filter depends on the instantaneous firing rate. This model leads to highly accurate estimates of instantaneous firing rates.

247 citations

Journal ArticleDOI
01 Oct 2008-Brain
TL;DR: It is shown that search for mutations in CDKL5 is indicated in girls with early onset of a severe intractable seizure disorder or infantile spasms with severe hypotonia, and inGirls with RTT-like phenotype and early onset seizures, though, in this cohort, mutations in CDsL5 account for about 10% of the girls affected by these disorders.
Abstract: Mutations in the human X-linked cyclin-dependent kinase-like 5 (CDKL5) gene have been shown to cause infantile spasms as well as Rett syndrome (RTT)-like phenotype. To date, less than 25 different mutations have been reported. So far, there are still little data on the key clinical diagnosis criteria and on the natural history of CDKL5-associated encephalopathy. We screened the entire coding region of CDKL5 for mutations in 183 females with encephalopathy with early seizures by denaturing high liquid performance chromatography and direct sequencing, and we identified in 20 unrelated girls, 18 different mutations including 7 novel mutations. These mutations were identified in eight patients with encephalopathy with RTT-like features, five with infantile spasms and seven with encephalopathy with refractory epilepsy. Early epilepsy with normal interictal EEG and severe hypotonia are the key clinical features in identifying patients likely to have CDKL5 mutations. Our study also indicates that these patients clearly exhibit some RTT features such as deceleration of head growth, stereotypies and hand apraxia and that these RTT features become more evident in older and ambulatory patients. However, some RTT signs are clearly absent such as the so called RTT disease profile (period of nearly normal development followed by regression with loss of acquired fine finger skill in early childhood and characteristic intensive eye communication) and the characteristic evolution of the RTT electroencephalogram. Interestingly, in addition to the overall stereotypical symptomatology (age of onset and evolution of the disease) resulting from CDKL5 mutations, atypical forms of CDKL5-related conditions have also been observed. Our data suggest that phenotypic heterogeneity does not correlate with the nature or the position of the mutations or with the pattern of X-chromosome inactivation, but most probably with the functional transcriptional and/or translational consequences of CDKL5 mutations. In conclusion, our report show that search for mutations in CDKL5 is indicated in girls with early onset of a severe intractable seizure disorder or infantile spasms with severe hypotonia, and in girls with RTT-like phenotype and early onset seizures, though, in our cohort, mutations in CDKL5 account for about 10% of the girls affected by these disorders.

247 citations


Authors

Showing all 21023 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
Cyrus Cooper2041869206782
Jean-Laurent Casanova14484276173
Alain Fischer14377081680
Maxime Dougados134105469979
Carlos López-Otín12649483933
Giuseppe Viale12374072799
Thierry Poynard11966864548
Lorenzo Galluzzi11847771436
Shahrokh F. Shariat118163758900
Richard E. Tremblay11668545844
Olivier Hermine111102643779
Yehezkel Ben-Ari11045944293
Loïc Guillevin10880051085
Gérard Socié10792044186
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202279
20211,083
20201,994
20193,298
20183,323