12 research outputs found
A unique, large-sized stem Odonata (Insecta) found in the early Pennsylvanian of New Brunswick (Canada)
A stem relative of dragon- and damselflies,
Brunellopteron norradi BĂ©thoux, Deregnaucourt and Norrad gen. et sp. nov., is documented
based on a specimen found at Robertson Point (Grand Lake, New Brunswick,
Canada; Sunbury Creek Formation; early Moscovian, Pennsylvanian) and
preserving the basal half of a hindwing. A comparative analysis of the
evolution of wing venation in early odonates demonstrates that it belongs to
a still poorly documented subset of species. Specifically, it displays a
MPâ+âCuA fusion, a CuAâ+âCuP fusion, and a CuPâ+âAA fusion, but it lacks the
âextendedâ MPâ+âCuâ/âCuA fusion and the âextendedâ (CuPâ/âCuAâ+âCuP)â+âAA fusion,
the occurrence of which is typical of most Odonata, including Meganeura-like species. The
occurrence of intercalary veins suggests that its closest relative might be
Gallotypus oudardi Nel, Garrouste and Roques, 2008, from the Moscovian of northern France.</p
Scripts and data for manuscript "Disparification and extinction trade-offs shaped the evolution of Permian to Jurassic Odonata"
R scripts and data associated with the manuscript : Deregnaucourt, I., Bardin, J., Villier, L., Julliard, R., BĂ©thoux, O., Disparification and extinction trade-offs shaped the evolution of Permian to Jurassic Odonata, IScience (2023), doi: https://doi.org/10.1016/j.isci.2023.107420.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
A unique, large-sized stem Odonata (Insecta) found in the early Pennsylvanian of New Brunswick (Canada)
A stem relative of dragon- and damselflies, Brunellopteron norradi BĂ©thoux, Deregnaucourt and Norrad gen. et sp. nov., is documented based on a specimen found at Robertson Point (Grand Lake, New Brunswick, Canada; Sunbury Creek Formation; early Moscovian, Pennsylvanian) and preserving the basal half of a hindwing. A comparative analysis of the evolution of wing venation in early odonates demonstrates that it belongs to a still poorly documented subset of species. Specifically, it displays a MP+CuA fusion, a CuA+CuP fusion, and a CuP+AA fusion, but it lacks the "extended"MP+Cu/CuA fusion and the "extended"(CuP/CuA+CuP)+AA fusion, the occurrence of which is typical of most Odonata, including Meganeura-like species. The occurrence of intercalary veins suggests that its closest relative might be Gallotypus oudardi Nel, Garrouste and Roques, 2008, from the Moscovian of northern France
A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohnâs Disease: A Population-based Study
International audienceBackground The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohnâs disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (nâ
=â
54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice