Time filter

Source Type

Liege, Belgium

Dang Van Q.C.,Catholic University of Louvain | Focant M.,Catholic University of Louvain | Focant M.,Charlemagne College | Mignolet E.,Catholic University of Louvain | And 3 more authors.
Animal Feed Science and Technology | Year: 2011

This experiment studied the influence of the diet structure value (SV) on ruminal biohydrogenation and milk fatty acid (FA) responses in cows fed heterogeneous basal diets equally supplemented with FA. Eight lactating Holstein cows were used in a replicated 4 × 4 Latin square design with four dietary treatments and four 21-day periods. The iso-fat, iso-18:2 n- 6 and iso-18:3 n- 3 diets were formulated to display three different SV, using different sources and proportions of forages, energy and nitrogen concentrates. The four diets contained maize silage as the main forage (SV1.2 diet), grass hay as the main forage (SV2.0 diet), maize silage and grass hay in a 4:1 ratio (SV1.6. M diet) or maize silage and grass hay in a 1:1 ratio (SV1.6H diet). The diets also contained soya bean meal and/or urea as additional sources of nitrogen, sugar beet pulp and barley in a 1:1 ratio as additional source of energy, extruded linseed as supplemental 18:3 n- 3, a mineral and vitamin mix and a vitamin E preparation. Wheat straw was added to the diets as additional structure source, except for the SV2.0 diet. Soya bean oil was added to the diets as supplemental 18:2 n- 6 to adjust the diets for this FA, except for the SV1.2 diet. The diets were distributed as a restricted total mixed ration. The various C18 FA expressed as 100. g of total C18 FA in milk fat are relevant indicators of ruminal biohydrogenation since duodenal concentrations of C18 FA follow similar changes as those in milk fat, and since these ratios only take into account FA involved in ruminal biohydrogenation. All the various C18 FA to total C18 FA in milk fat differed among diets (P < 0.05). Milk 18:2 n- 6. +. 18:3 n- 3/total C18 FA and total trans-C18 FA/total C18 FA decreased from SV1.2 to SV2.0 diets, whereas 18:0/total C18 FA increased from SV1.2 to SV2.0 diets. Subsequently, transfer efficiencies of 18:2 n- 6 and 18:3 n- 3 from diet to milk were higher for the SV1.2 diet than for the other diets (P < 0.05). These results confirm the hypothesis that ruminal biohydrogenation is more complete with higher diet SV, which is consistent with results from other published experiments where high forage diets or grass silage compared to maize silage-based diets were used. This experiment showed that the concept of diet SV is a valid tool characterizing heterogeneous basal diets differing in sources and proportions of forages and concentrates. © 2011 Elsevier B.V.

Jonveaux T.R.,Nancy University Hospital Center | Jonveaux T.R.,University of Lorraine | Batt M.,University of Lorraine | Fescharek R.,Fescharek Sculpture and Design | And 11 more authors.
Journal of Alzheimer's Disease | Year: 2013

The French Alzheimer Plan 2008-2012 anticipates the implementation of new Units specialized in cognitive rehabilitation and psycho-behavioral therapy of Alzheimer's disease (AD) patients. Conceived for AD and other dementia patients of all ages, their objectives are to propose a cognitive rehabilitation program, to prevent or treat psycho-behavioral crises, and to provide support and educational therapy to the family and professional caregivers, in order to ease the patient's return to his or her previous way of life. Studies on green spaces and healing gardens in health-care settings have revealed objective and measurable improvements in the patient's well-being. The Plan officially stipulates for the first time the need to make healing gardens an integral part of these Units, but it does not provide specific recommendations or criteria for implementing such gardens. Although green spaces and gardens are available in many French Care Units, they are rarely specifically adapted to the needs of AD patients. In Nancy, the Art, Memory and Life garden, a specific concept guided by a neuropsychological approach, was developed and complemented by an artistic vision based on cultural invariants. The main objective of this article is to describe the various steps of the process that led to the creation of this garden: the collection of experiences and information by a pilot group, surveys of patients, visitors, and caregivers before and after establishment of the garden, and implementation of a multi-professional group project. The specifications, the organizational criteria, the therapeutic project, and the criteria for the conception of such a garden stemming from our clinical experience with the Art, Memory and Life garden in Nancy, are described herein. We also present the first assessment following the implementation of the project. © 2013 - IOS Press and the authors. All rights reserved.

Keller R.C.A.,Charlemagne College
Cellular and Molecular Biology Letters | Year: 2011

Protein translocation is an important cellular process. SecA is an essential protein component in the Sec system, as it contains the molecular motor that facilitates protein translocation. In this study, a bioinformatics approach was applied in the search for possible lipid-binding helix regions in protein translocation motor proteins. Novel lipid-binding regions in Escherichia coli SecA were identified. Remarkably, multiple lipid-binding sites were also identified in other motor proteins such as BiP, which is involved in ER protein translocation. The prokaryotic signal recognition particle receptor FtsY, though not a motor protein, is in many ways related to SecA, and was therefore included in this study. The results demonstrate a possible general feature for motor proteins involved in protein translocation. © 2010 by the University of Wroclaw, Poland.

The role of protein–lipid interactions is increasingly recognized to be of importance in numerous biological processes. Bioinformatics is being increasingly used as a helpful tool in studying protein–lipid interactions. Especially recently developed approaches recognizing lipid binding regions in proteins can be implemented. In this study one of those bioinformatics approaches specialized in identifying lipid binding helical regions in proteins is expanded. The approach is explored further by features which can be easily obtained manually. Some interesting examples of members of the amphitropic protein family have been investigated in order to demonstrate the additional features of this bioinformatics approach. The results in this study seem to indicate interesting characteristics of amphitropic proteins and provide insight into the mechanistic functioning and overall understanding of this intriguing class of proteins. Additionally, the results demonstrate that the presented bioinformatics approach might be either an interesting starting point in protein–lipid interactions studies or a good tool for selecting new focus points for more detailed experimental research of proteins with known overall protein–lipid binding abilities. © 2014, Indian Academy of Sciences.

The presence of possible lipid-binding regions in the cytoplasmic or extracellular loops of membrane proteins with an emphasis on protein translocation membrane proteins was investigated in this study using bioinformatics. Recent developments in approaches recognizing lipid-binding regions in proteins were found to be promising. In this study a total bioinformatics approach specialized in identifying lipid-binding helical regions in proteins was explored. Two features of the protein translocation membrane proteins, the position of the transmembrane regions and the identification of additional lipid-binding regions, were analyzed. A number of well-studied protein translocation membrane protein structures were checked in order to demonstrate the predictive value of the bioinformatics approach. Furthermore, the results demonstrated that lipid-binding regions in the cytoplasmic and extracellular loops in protein translocation membrane proteins can be predicted, and it is proposed that the interaction of these regions with phospholipids is important for proper functioning during protein translocation. © 2012 Springer Science+Business Media, LLC.

Discover hidden collaborations