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bosek
05-22-2012, 01:59 AM
Metabolomics Methodologies include nuclear magnetic resonance (NMR) and mass spectrometry (MS)-based metabolic profiling technologies with "nontargeted" versus "targeted" approaches. The application of these tools to diabetes and metabolic disease research at the cellular, animal model, and human disease levels are already in advanced research level, with a particular focus on insights gained from the more quantitative targeted methodologies. There are early examples of integrated analysis of genomic, transcriptomic, and metabolomic datasets for gaining knowledge about metabolic regulatory networks and diabetes. In principal, metabolomics can provide certain advantages relative to other "omics" technologies (genomics, transcriptomics, proteomics) in diabetes research:
1) Estimates vary, but one current source, the Human Metabolome Database (HMDB)-Canada, currently lists 6,500 discrete small molecule metabolites, significantly less than the estimate of 25,000 genes, 100,000 transcripts, and 1,000,000 proteins.
2) Metabolomics measures chemical phenotypes that are the net result of genomic, transcriptomic, and proteomic variability, therefore providing the most integrated profile of biological status.
3) Metabolomics is in theory a precise tool for discerning mechanisms of action and possible toxicological effects of drug therapy
Current research perspective The Aarhus University, Denmark already has evidences of metabolomics relationship between plasma inositols and birth weight, the possible markers for fetal type 2 diabetes. (as cited in research publication- Journal of Biomedicine and Biotechnology Volume 2011, Article ID 378268, 8 pages doi:10.1155/2011/37826-- Metabolomics Reveals Relationship between Plasma Inositols and Birth weight: Possible Markers for Fetal Programming of Type 2 Diabetes).
Moreover, University of Helsinki, Finland and University of Turku, Finland have established a Nuclear magnetic resonance (NMR) approach to the diabetic long term complications (as cited in research publication Molecular Systems Biology 4; Article number 167; doi:10.1038/msb4100205 Citation: Molecular Systems Biology 4:167-1 H NMR metabonomics approach to the disease continuum of diabetic complications and premature death).
With the collaboration of the university of Hasselt in Belgium we are employing the methods of Metabolomics to quantify and measure the pattern, amount and co-relation of the metabolites in the blood samples of type 1 Diabetes mellitus, type 2 Diabetes mellitus and healthy population in Curacao. Our goal is to establish a standardized method to diagnose and predict the occurrence of diabetes mellitus early on in the life of a person long before the regular blood investigations measurements of glucose are deranged enough to be picked up.
More importantly, we will be aiming to predict the diabetic long term complication as well as effectiveness of pharmacological interventions in already diagnosed diabetic patients. There is no known precise method depicting the possibility and timeline of appearance of long term complications in both Type 1 and Type 2 diabetes mellitus. Moreover the prediction of diabetic complications has eluded medical practitioners and researchers for years.
With the advent of a possible method to predict the diabetic complications ahead of time will focus all the non-pharmacological and pharmacological interventions to be employed in timely manner with more targeted approach. Besides being a medical breakthrough, it may also help in improving the lifespan as well as quality of life in diabetic patients especially in long term.

guilder2012
05-22-2012, 05:22 AM
What is the latest on the research. I am planning to stay here and am wondering if I we can start something

guilder2012
05-26-2012, 01:13 PM
I did talk to Dr PS. If he does 1/10th of what he is planning to do I am game. I cant wait for it to get started.

theMDgoat
06-14-2012, 01:31 PM
Metabolomics Methodologies include nuclear magnetic resonance (NMR) and mass spectrometry (MS)-based metabolic profiling technologies with "nontargeted" versus "targeted" approaches. The application of these tools to diabetes and metabolic disease research at the cellular, animal model, and human disease levels are already in advanced research level, with a particular focus on insights gained from the more quantitative targeted methodologies. There are early examples of integrated analysis of genomic, transcriptomic, and metabolomic datasets for gaining knowledge about metabolic regulatory networks and diabetes. In principal, metabolomics can provide certain advantages relative to other "omics" technologies (genomics, transcriptomics, proteomics) in diabetes research:
1) Estimates vary, but one current source, the Human Metabolome Database (HMDB)-Canada, currently lists 6,500 discrete small molecule metabolites, significantly less than the estimate of 25,000 genes, 100,000 transcripts, and 1,000,000 proteins.
2) Metabolomics measures chemical phenotypes that are the net result of genomic, transcriptomic, and proteomic variability, therefore providing the most integrated profile of biological status.
3) Metabolomics is in theory a precise tool for discerning mechanisms of action and possible toxicological effects of drug therapy
Current research perspective The Aarhus University, Denmark already has evidences of metabolomics relationship between plasma inositols and birth weight, the possible markers for fetal type 2 diabetes. (as cited in research publication- Journal of Biomedicine and Biotechnology Volume 2011, Article ID 378268, 8 pages doi:10.1155/2011/37826-- Metabolomics Reveals Relationship between Plasma Inositols and Birth weight: Possible Markers for Fetal Programming of Type 2 Diabetes).
Moreover, University of Helsinki, Finland and University of Turku, Finland have established a Nuclear magnetic resonance (NMR) approach to the diabetic long term complications (as cited in research publication Molecular Systems Biology 4; Article number 167; doi:10.1038/msb4100205 Citation: Molecular Systems Biology 4:167-1 H NMR metabonomics approach to the disease continuum of diabetic complications and premature death).
With the collaboration of the university of Hasselt in Belgium we are employing the methods of Metabolomics to quantify and measure the pattern, amount and co-relation of the metabolites in the blood samples of type 1 Diabetes mellitus, type 2 Diabetes mellitus and healthy population in Curacao. Our goal is to establish a standardized method to diagnose and predict the occurrence of diabetes mellitus early on in the life of a person long before the regular blood investigations measurements of glucose are deranged enough to be picked up.
More importantly, we will be aiming to predict the diabetic long term complication as well as effectiveness of pharmacological interventions in already diagnosed diabetic patients. There is no known precise method depicting the possibility and timeline of appearance of long term complications in both Type 1 and Type 2 diabetes mellitus. Moreover the prediction of diabetic complications has eluded medical practitioners and researchers for years.
With the advent of a possible method to predict the diabetic complications ahead of time will focus all the non-pharmacological and pharmacological interventions to be employed in timely manner with more targeted approach. Besides being a medical breakthrough, it may also help in improving the lifespan as well as quality of life in diabetic patients especially in long term.

Guys and gals, you can still join the research team: email Prof JG and participate in a unique experience.

bosek
06-16-2012, 09:07 PM
I am just looking forward to the research that will be useful for diabetic patients.







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