1,522 research outputs found
A chemical biology approach to explore lipid metabolism in neurological disorders
Neurodegenerative diseases pose a large medical and societal challenge. The etiology of these diseases is still poorly understood, which makes drug discovery for these diseases difficult. This thesis described a chemical biology approach to explore lipid metabolism in neurological disorders. Novel chemical tools were developed to study lipid metabolizing enzymes and these tools were applied to both mouse and human brain tissues. This revealed potential therapeutic targets involved in lipid metabolism that could be harnessed to treat neuroinflammatory diseases such as Multiple Sclerosis and Alzheimer’s Disease. The integration of chemical biology techniques such as activity-based protein profiling, bio-orthogonal chemistry, targeted lipidomics and proteomics with traditional techniques like gene expression analysis and immunohistochemistry was key to provide a comprehensive understanding of lipid metabolism in these complex neurological diseases. The collaboration of neuroscientists and chemists will be required to develop novel therapies and to gain a fundamental understanding of the human brain.Institute of Chemical ImmunologyMolecular Physiolog
New food composition data on selected ethnic foods consumed in Europe
Background: Reliable data on the composition of foods is needed to better understand individual diets, measure nutrient intakes and provide nutritional guidance for improving the health of the populations. Ethnic foods are becoming increasingly popular among all European consumers, and are the main source of nutrients in the diets of ethnic groups. However, there is limited information on the nutrient composition of ethnic foods in Europe. The objective of this study therefore was to generate new and reliable data on ethnic foods using harmonised methods for chemical analyses.
Methods: New data on 128 ethnic foods were generated for inclusion in the national databases within the European Food Information Resource Network of Excellence through participants from France, Israel, Spain, Denmark, Italy, The Netherlands, Belgium and the United Kingdom. In each selected country, the list of prioritised foods and key nutrients, methods of analyses and quality assurance procedure were harmonised.
Results: This paper presents the nutrient composition of 40 ethnic foods consumed in Europe. The nutrient composition of the foods varied widely because of the nature and variety of foods analysed, with energy content (kcal) ranging between 24 (biteku-teku, Blegium) and 495 (nachos, Italy) per 100 g of edible food. Polyunsaturated and monounsaturated fatty acids were generally higher in most ethnic foods consumed in Italy and Spain compared with ethnic foods of other countries.
Conclusions: The new data were scrutinised and fully documented for inclusion in the national food composition databases. The data will aid effective diet and disease interventions, and enhance the provision of dietary advice, in all European consumers
New food composition data on selected ethnic foods consumed in Europe
Background: Reliable data on the composition of foods is needed to better understand individual diets, measure nutrient intakes and provide nutritional guidance for improving the health of the populations. Ethnic foods are becoming increasingly popular among all European consumers, and are the main source of nutrients in the diets of ethnic groups. However, there is limited information on the nutrient composition of ethnic foods in Europe. The objective of this study therefore was to generate new and reliable data on ethnic foods using harmonised methods for chemical analyses.
Methods: New data on 128 ethnic foods were generated for inclusion in the national databases within the European Food Information Resource Network of Excellence through participants from France, Israel, Spain, Denmark, Italy, The Netherlands, Belgium and the United Kingdom. In each selected country, the list of prioritised foods and key nutrients, methods of analyses and quality assurance procedure were harmonised.
Results: This paper presents the nutrient composition of 40 ethnic foods consumed in Europe. The nutrient composition of the foods varied widely because of the nature and variety of foods analysed, with energy content (kcal) ranging between 24 (biteku-teku, Blegium) and 495 (nachos, Italy) per 100 g of edible food. Polyunsaturated and monounsaturated fatty acids were generally higher in most ethnic foods consumed in Italy and Spain compared with ethnic foods of other countries.
Conclusions: The new data were scrutinised and fully documented for inclusion in the national food composition databases. The data will aid effective diet and disease interventions, and enhance the provision of dietary advice, in all European consumers
Follow-up study of sensory-motor polyneuropathy in Type 1 (insulin-dependent) diabetic subjects after simultaneous pancreas and kidney transplantation and after graft rejection
The influence of successful simultaneous pancreas and kidney transplantation on peripheral polyneuropathy was investigated in 53 patients for a mean observation period of 40.3 months. Seventeen patients were followed-up for more than 3 years. Symptoms and signs were assessed every 6 months using a standard questionnaire, neurological examination and measurement of sensory and motor nerve conduction velocities. While symptoms of polyneuropathy improved (pain, paraesthesia, cramps, restless-legs) and nerve conduction velocity increased, there was no change of clinical signs (sensation, muscle-force, tendon-reflexes). Following kidney-graft-rejection there was a slight decrease of nerve conduction verlocity during the first year, which was not statistically significant. Following pancreas-graft rejection there was no change of nerve conduction velocity during the first year. Comparing the maximum nerve conduction velocity of the patients with pancreas-graft-rejection to the nerve conduction velocities of these patients at the end of the study, there was a statistically significant decrease of 6.5 m/s.
In conclusion, we believe that strict normalization of glucose metabolism alters the progressive course of diabetic polyneuropathy. It may be stabilized or partly reversed after successful grafting even in long-term diabetic patients
Chemical Probes to Control and Visualize Lipid Metabolism in the Brain
CONSPECTUS: Signaling lipids, such as the endocannabinoids, play an important role in the brain. They regulate synaptic transmission and control various neurophysiological processes, including pain sensation, appetite, memory formation, stress, and anxiety. Unlike classical neurotransmitters, lipid messengers are produced on demand and degraded by metabolic enzymes to control their lifespan and signaling actions. Chemical biology approaches have become one of the main driving forces to study and unravel the physiological role of lipid messengers in the brain. Here, we review how the development and use of chemical probes has allowed one to study endocannabinoid signaling by (i) inhibiting the biosynthetic and metabolic enzymes; (ii) visualizing the activity of these enzymes; and (iii) controlling the release and transport of the endocannabinoids. Activity-based probes were instrumental to guide the discovery of highly selective and in vivo active inhibitors of the biosynthetic (DAGL, NAPE-PLD) and metabolic (MAGL, FAAH) enzymes of endocannabinoids. These inhibitors allowed one to study the role of these enzymes in animal models of disease. For instance, the DAGL-MAGL axis was shown to control neuroinflammation and the NAPE-PLD-FAAH axis to regulate emotional behavior. Activity-based protein profiling and chemical proteomics were essential to guide the drug discovery and development of compounds targeting MAGL and FAAH, such as ABX-1431 (Lu AG06466) and PF-04457845, respectively. These experimental drugs are now in clinical trials for multiple indications, including multiple sclerosis and post-traumatic stress disorders. Activity-based probes have also been used to visualize the activity of these lipid metabolizing enzymes with high spatial resolution in brain slices, thereby showing the cell type-specific activity of these lipid metabolizing enzymes. The transport, release, and uptake of signaling lipids themselves cannot, however, be captured by activity-based probes in a spatiotemporal controlled manner. Therefore, bio-orthogonal lipids equipped with photoreactive, photoswitchable groups or photocages have been developed. These chemical probes were employed to investigate the protein interaction partners of the endocannabinoids, such as putative membrane transporters, as well as to study the functional cellular responses within milliseconds upon irradiation. Finally, genetically encoded sensors have recently been developed to monitor the real-time release of endocannabinoids with high spatiotemporal resolution in cultured neurons, acute brain slices, and in vivo mouse models. It is anticipated that the combination of chemical probes, highly selective inhibitors, and sensors with advanced (super resolution) imaging modalities, such as PharmacoSTORM and correlative light-electron microscopy, will uncover the fundamental basis of lipid signaling at nanoscale resolution in the brain. Furthermore, chemical biology approaches enable the translation of these fundamental discoveries into clinical solutions for brain diseases with aberrant lipid signaling.Molecular Physiolog
Local amplification of highly pathogenic avian influenza H5N8 viruses in wild birds in the Netherlands, 2016 to 2017
Introduction: Highly pathogenic avian influenza (HPAI) viruses of subtype H5N8 were re-introduced into the Netherlands by late 2016, after detections in southeast Asia and Russia. This second H5N8 wave resul
Activating transcription factor 6 polymorphisms and haplotypes are associated with impaired glucose homeostasis and type 2 diabetes in dutch Caucasians
Context: Activating transcription factor 6 (ATF6) is critical for initiation and full activation of the unfolded protein response. An association between genetic variation in ATF6 and type 2 diabetes (DM2) was recently reported in Pima Indians. Objectives: To investigate the broader significance of this association for DM2, replication studies in distinct ethic populations are required. We investigated ATF6 for its association with DM2 in Dutch Caucasians. Design/Setting: A genetic association study was conducted at an academic research laboratory. Study Participants: Two independent Dutch cohorts were studied. Cohort 1 (n = 154) was used to evaluate genetic variation in the ATF6 gene in relation to glucose homeostasis in the general population. Cohort 2 (n = 798) consisted of patients with DM2, impaired glucose tolerance, impaired fasting glucose, and normoglycemic control subjects, and was used to investigate ATF6 polymorphisms for their contribution to disturbed glucose homeostasis and DM2. Main Outcome Measures: There were 16 tag single nucleotide polymorphisms genotyped in all subjects of both cohorts. Those single nucleotide polymorphisms included three nonsynonymous coding variants and captured all common allelic variation of ATF6. Results: Our data show that common ATF6 variants are associated with elevated glucose levels in the general population (cohort 1, P = 0.005-0.05). Furthermore, the majority of these variants, and haplotypes thereof, were significantly associated with impaired fasting glucose, impaired glucose tolerance, and DM2 ( cohort 2, P = 0.006-0.05). Associated variants differ from those identified in Pima Indians. Conclusions: Our results strengthen the evidence that one or more variants in ATF6 are associated with disturbed glucose homeostasis and DM2
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