scispace - formally typeset
Search or ask a question
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 & Transplantation. 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.


Papers
More filters
Journal ArticleDOI
TL;DR: A two-dose regimen with an adjuvanted 30 microg inactivated H5N1 vaccine was safe and showed an immune response consistent with European regulatory requirements for licensure of seasonal influenza vaccine.

415 citations

Journal ArticleDOI
TL;DR: In the 3E (Evidence, Expertise, Exchange) Initiative of 2007-8, 751 rheumatologists from 17 countries participated in three separate rounds of discussions and Delphi votes as mentioned in this paper.
Abstract: Objectives: To develop evidence-based recommendations for the use of methotrexate in daily clinical practice in rheumatic disorders. Methods: 751 rheumatologists from 17 countries participated in the 3E (Evidence, Expertise, Exchange) Initiative of 2007–8 consisting of three separate rounds of discussions and Delphi votes. Ten clinical questions concerning the use of methotrexate in rheumatic disorders were formulated. A systematic literature search in Medline, Embase, Cochrane Library and 2005–7 American College of Rheumatology/European League Against Rheumatism meeting abstracts was conducted. Selected articles were systematically reviewed and the evidence was appraised according to the Oxford levels of evidence. Each country elaborated a set of national recommendations. Finally, multinational recommendations were formulated and agreement among the participants and the potential impact on their clinical practice was assessed. Results: A total of 16 979 references was identified, of which 304 articles were included in the systematic reviews. Ten multinational key recommendations on the use of methotrexate were formulated. Nine recommendations were specific for rheumatoid arthritis (RA), including the work-up before initiating methotrexate, optimal dosage and route, use of folic acid, monitoring, management of hepatotoxicity, long-term safety, mono versus combination therapy and management in the perioperative period and before/during pregnancy. One recommendation concerned methotrexate as a steroid-sparing agent in other rheumatic diseases. Conclusions: Ten recommendations for the use of methotrexate in daily clinical practice focussed on RA were developed, which are evidence based and supported by a large panel of rheumatologists, enhancing their validity and practical use.

415 citations

Journal ArticleDOI
TL;DR: A SIFT-like algorithm specifically dedicated to SAR imaging, which includes both the detection of keypoints and the computation of local descriptors, and an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles is presented.
Abstract: The scale-invariant feature transform (SIFT) algorithm and its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images. In this paper, we introduce a SIFT-like algorithm specifically dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes both the detection of keypoints and the computation of local descriptors. A new gradient definition, yielding an orientation and a magnitude that are robust to speckle noise, is first introduced. It is then used to adapt several steps of the SIFT algorithm to SAR images. We study the improvement brought by this new algorithm, as compared with existing approaches. We present an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles.

414 citations

Journal ArticleDOI
TL;DR: Experts’ recommendations on how the diagnostic protocol should be performed for the confirmation of non-Celiac Gluten Sensitivity are reported, to help the clinician to reach a firm and positive diagnosis of NCGS.
Abstract: Non-Celiac Gluten Sensitivity (NCGS) is a syndrome characterized by intestinal and extra-intestinal symptoms related to the ingestion of gluten-containing food, in subjects that are not affected by either celiac disease or wheat allergy. Given the lack of a NCGS biomarker, there is the need for standardizing the procedure leading to the diagnosis confirmation. In this paper we report experts’ recommendations on how the diagnostic protocol should be performed for the confirmation of NCGS. A full diagnostic procedure should assess the clinical response to the gluten-free diet (GFD) and measure the effect of a gluten challenge after a period of treatment with the GFD. The clinical evaluation is performed using a self-administered instrument incorporating a modified version of the Gastrointestinal Symptom Rating Scale. The patient identifies one to three main symptoms that are quantitatively assessed using a Numerical Rating Scale with a score ranging from 1 to 10. The double-blind placebo-controlled gluten challenge (8 g/day) includes a one-week challenge followed by a one-week washout of strict GFD and by the crossover to the second one-week challenge. The vehicle should contain cooked, homogeneously distributed gluten. At least a variation of 30% of one to three main symptoms between the gluten and the placebo challenge should be detected to discriminate a positive from a negative result. The guidelines provided in this paper will help the clinician to reach a firm and positive diagnosis of NCGS and facilitate the comparisons of different studies, if adopted internationally.

414 citations

Journal ArticleDOI
TL;DR: The power of transcriptome sequencing is demonstrated to molecularly diagnose 10% of mitochondriopathy patients and identify candidate genes for the remainder, and examples of intronic loss-of-function variants with pathological relevance are provided.
Abstract: Across a variety of Mendelian disorders, ∼50-75% of patients do not receive a genetic diagnosis by exome sequencing indicating disease-causing variants in non-coding regions. Although genome sequencing in principle reveals all genetic variants, their sizeable number and poorer annotation make prioritization challenging. Here, we demonstrate the power of transcriptome sequencing to molecularly diagnose 10% (5 of 48) of mitochondriopathy patients and identify candidate genes for the remainder. We find a median of one aberrantly expressed gene, five aberrant splicing events and six mono-allelically expressed rare variants in patient-derived fibroblasts and establish disease-causing roles for each kind. Private exons often arise from cryptic splice sites providing an important clue for variant prioritization. One such event is found in the complex I assembly factor TIMMDC1 establishing a novel disease-associated gene. In conclusion, our study expands the diagnostic tools for detecting non-exonic variants and provides examples of intronic loss-of-function variants with pathological relevance.

414 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
Network Information
Related Institutions (5)
French Institute of Health and Medical Research
174.2K papers, 8.3M citations

96% related

University of Paris
174.1K papers, 5M citations

92% related

Erasmus University Rotterdam
91.2K papers, 4.5M citations

91% related

Emory University
122.4K papers, 6M citations

90% related

Université de Montréal
100.4K papers, 4M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202279
20211,082
20201,994
20193,298
20183,323