Immunization with H1, HASPB1 and MML Leishmania proteins in a vaccine trial against experimental canine leishmaniasis.

The protective capabilities of three Leishmania recombinant proteins - histone 1 (H1) and hydrophilic acylated surface protein B1 (HASPB1) immunized singly, or together as a protein cocktail vaccine with Montanide, and the polyprotein MML immunized with MPL-SE adjuvant - were assessed in beagle dogs. Clinical examination of the dogs was carried out periodically under blinded conditions and the condition of the dogs defined as asymptomatic or symptomatic. At the end of the trial, we were able to confirm that following infection with L. infantum promastigotes, five out of eight dogs immunized with H1 Montanide, and four out of eight dogs immunized with either the combination of HASPB1 with Montanide or the combination of H1+HASPB1 with Montanidetrade mark, remained free of clinical signs, compared with two out of seven dogs immunized with the polyprotein MML and adjuvant MPL-SE, and two out of eight dogs in the control group. The results demonstrate that HASPB1 and H1 antigens in combination with Montanide were able to induce partial protection against canine leishmaniasis, even under extreme experimental challenge conditions.

Etude des modèles de Whittle markoviens probabilisés

Etude des modèles de Whittle markoviens probabilisés Résumé Le modèle de Whittle markovien probabilisé est un modèle de champ spatial autorégressif simultané d'ordre 1 qui exprime simultanément chaque variable du champ comme une moyenne pondérée aléatoire des variables adjacentes du champ, amortie d'un coefficient multiplicatif ρ, et additionnée d'un terme d'erreur (qui est une variable gaussienne homoscédastique spatialement indépendante, non mesurable directement). Dans notre cas, la moyenne pondérée est une moyenne arithmétique qui est aléatoire du fait de deux conditions : (a) deux variables sont adjacentes (au sens d'un graphe) avec une probabilité 1 − p si la distance qui les sépare est inférieure à un certain seuil, (b) il n'y a pas d'adjacence pour des distances au-dessus de ce seuil. Ces conditions déterminent un modèle d'adjacence (ou modèle de connexité) du champ spatial. Un modèle de Whittle markovien probabilisé aux conditions où p = 0 donne un modèle de Whittle classique qui est plus familier en géographie, économétrie spatiale, écologie, sociologie, etc. et dont ρ est le coefficient d'autorégression. Notre modèle est donc une forme probabilisée au niveau de la connexité du champ de la forme des modèles de Whittle classiques, amenant une description innovante de l'autocorrélation spatiale. Nous commençons par décrire notre modèle spatial en montrant les effets de la complexité introduite par le modèle de connexité sur le pattern de variances et la corrélation spatiale du champ. Nous étudions ensuite la problématique de l'estimation du coefficent d'autorégression ρ pour lequel au préalable nous effectuons une analyse approfondie de son information au sens de Fisher et de Kullback-Leibler. Nous montrons qu'un estimateur non biaisé efficace de ρ possède une efficacité qui varie en fonction du paramètre p, généralement de manière non monotone, et de la structure du réseau d'adjacences. Dans le cas où la connexité du champ est non observée, nous montrons qu'une mauvaise spécification de l'estimateur de maximum de vraisemblance de ρ peut biaiser celui-ci en fonction de p. Nous proposons dans ce contexte d'autres voies pour estimer ρ. Pour finir, nous étudions la puissance des tests de significativité de ρ pour lesquels les statistiques de test sont des variantes classiques du I de Moran (test de Cliff-Ord) et du I de Moran maximal (en s'inspirant de la méthode de Kooijman). Nous observons la variation de puissance en fonction du paramètre p et du coefficient ρ, montrant par cette voie la dualité de l'autocorrélation spatiale entre intensité et connectivité dans le contexte des modèles autorégressifs

The JAK/STAT3 Pathway Is a Common Inducer of Astrocyte Reactivity in Alzheimer's and Huntington's Diseases.

Astrocyte reactivity is a hallmark of neurodegenerative diseases (ND), but its effects on disease outcomes remain highly debated. Elucidation of the signaling cascades inducing reactivity in astrocytes during ND would help characterize the function of these cells and identify novel molecular targets to modulate disease progression. The Janus kinase/signal transducer and activator of transcription 3 (JAK/STAT3) pathway is associated with reactive astrocytes in models of acute injury, but it is unknown whether this pathway is directly responsible for astrocyte reactivity in progressive pathological conditions such as ND. In this study, we examined whether the JAK/STAT3 pathway promotes astrocyte reactivity in several animal models of ND. The JAK/STAT3 pathway was activated in reactive astrocytes in two transgenic mouse models of Alzheimer's disease and in a mouse and a nonhuman primate lentiviral vector-based model of Huntington's disease (HD). To determine whether this cascade was instrumental for astrocyte reactivity, we used a lentiviral vector that specifically targets astrocytes in vivo to overexpress the endogenous inhibitor of the JAK/STAT3 pathway [suppressor of cytokine signaling 3 (SOCS3)]. SOCS3 significantly inhibited this pathway in astrocytes, prevented astrocyte reactivity, and decreased microglial activation in models of both diseases. Inhibition of the JAK/STAT3 pathway within reactive astrocytes also increased the number of huntingtin aggregates, a neuropathological hallmark of HD, but did not influence neuronal death. Our data demonstrate that the JAK/STAT3 pathway is a common mediator of astrocyte reactivity that is highly conserved between disease states, species, and brain regions. This universal signaling cascade represents a potent target to study the role of reactive astrocytes in ND.

Extension of ultrasound Fourier slice Imaging theory to sectorial acquisition

Ultrasound image reconstruction from the echoes received by an ultrasound probe after the transmission of diverging waves is an active area of research because of its capacity to insonify at ultra-high frame rate with large regions of interest using small phased arrays as the ones used in echocardiography. Current state-of-the-art techniques are based on the emission of diverging waves and the use of delay and sum strategies applied on the received signals to reconstruct the desired image (DW/DAS). Recently, we have introduced the concept of Ultrasound Fourier Slice Imaging (UFSI) theory for the reconstruction of ultrafast imaging for linear acquisition. In this study, we extend this theory to sectorial acquisition thanks to the introduction of an explicit and invertible spatial transform. Starting from a diverging wave, we show that the direct use of UFSI theory along with the application of the proposed spatial transform allows reconstructing the insonified medium in the conventional Cartesian space. Simulations and experiments reveal the capacity of this new approach in obtaining competitive quality of ultrafast imaging when compared with the current reference method.