Monocluéose infectieuse du chat

Groulade Paul, Guerre Roger. Mononucléose du Chat. In: Bulletin de l'Académie Vétérinaire de France tome 112 n°4, 1959. pp. 261-267

Hématologie et micro-électrophorèse sur papier chez le myocastor

Guerre Roger, Groulade J., Groulade Paul. Hématologie et micro-électrophorèse sur papier chez le Myocastor. In: Bulletin de l'Académie Vétérinaire de France tome 113 n°1, 1960. pp. 51-53

Étude clinique d’une pneumopathie aiguë contagieuse à virus chez le Chien

Groulade Paul, Virat Bernard, Guerre Roger, Vallée A. Étude clinique d’une pneumopathie aiguë contagieuse à virus chez le Chien. In: Bulletin de l'Académie Vétérinaire de France tome 110 n°9, 1957. pp. 485-488

Effect of fumonisins and Salmonella on digestive flora profiles assessed using a molecular tool (CE-SSCP).

Fumonisins (FB) are mycotoxins frequently found in vegetal feedstuffs, especially in maize used for pig feeding. Among fumonisins, FB1 was the better described toxin. It caused pulmonary and hepatic damages as well as immune response disorders in pigs that were recognised as especially sensitive to FB Intoxication. The FB1 immunosuppressor induced a higher susceptibility of pigs to gut pathogens such as E coli. Effects on Salmonella have poorly been studied despite the frequent asymptomatic carnage in pigs and the presumptive role of nora equilibrium on prevention of Salmonella excretion or re-excretion. To determine the influence of Salmonella carriage, fumonisins or both on digestive flora equilibrium, the use of a molecular technique CE-SSCP (Capillary-Electrophoresis Single Strand Conformation Polymorphism) appeared a good complement to the conventional bacteriological techniques. The objective was to assess the perturbation of nora associated with co-exposition in experimental conditions in absence of clinical sign

Smoothing Quantile Regressions

We propose to smooth the objective function, rather than only the indicator on the check function, in a linear quantile regression context. Not only does the resulting smoothed quantile regression estimator yield a lower mean squared error and a more accurate Bahadur-Kiefer representation than the standard estimator, but it is also asymptotically differentiable. We exploit the latter to propose a quantile density estimator that does not suffer from the curse of dimensionality. This means estimating the conditional density function without worrying about the dimension of the covariate vector. It also allows for two-stage efficient quantile regression estimation. Our asymptotic theory holds uniformly with respect to the bandwidth and quantile level. Finally, we propose a rule of thumb for choosing the smoothing bandwidth that should approximate well the optimal bandwidth. Simulations confirm that our smoothed quantile regression estimator indeed performs very well in finite samples

Advantages of dynamic “closed loop” stable isotope flux phenotyping over static “open loop” clamps in detecting silent genetic and dietary phenotypes

In vivo insulin sensitivity can be assessed using “open loop” clamp or “closed loop” methods. Open loop clamp methods are static, and fix plasma glucose independently from plasma insulin. Closed loop methods are dynamic, and assess glucose disposal in response to a stable isotope labeled glucose tolerance test. Using PPARα−/− mice, open and closed loop assessments of insulin sensitivity/glucose disposal were compared. Indirect calorimetry done for the assessment of diurnal substrate utilization/metabolic flexibility showed that chow fed PPARα−/− mice had increased glucose utilization during the light (starved) cycle. Euglycemic clamps showed no differences in insulin stimulated glucose disposal, whether for chow or high fat diets, but did show differences in basal glucose clearance for chow fed PPARα−/− versus SV129J-wt mice. In contrast, the dynamic stable isotope labeled glucose tolerance tests reveal enhanced glucose disposal for PPARα−/− versus SV129J-wt, for chow and high fat diets. Area under the curve for plasma labeled and unlabeled glucose for PPARα−/− was ≈1.7-fold lower, P < 0.01 during the stable isotope labeled glucose tolerance test for both diets. Area under the curve for plasma insulin was 5-fold less for the chow fed SV129J-wt (P < 0.01) but showed no difference on a high fat diet (0.30 ± 0.1 for SV129J-wt vs. 0.13 ± 0.10 for PPARα−/−, P = 0.28). This study demonstrates that dynamic stable isotope labeled glucose tolerance test can assess “silent” metabolic phenotypes, not detectable by the static, “open loop”, euglycemic or hyperglycemic clamps. Both open loop and closed loop methods may describe different aspects of metabolic inflexibility and insulin sensitivity