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Biomedicine

Diabetes reveals its genes

   

Diabetes and its complications are a growing public health concern in Europe. To understand the role of genetic determinism in this complex disease, a consortium of European laboratories has gathered medical data on several thousand diabetes families and defined a common approach based on post-genomic analysis. The aim is to develop new medicines and an experimental methodology which can be applied to other complex diseases.

     
   

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The fondus oculis of the diabetes subject. The head of the optical nerve is visible (clear spot) as well as indications of bleeding (irregular spots)

For the physiologist, diabetes is an illness whose main symptom is the presence of sugars in the urine. For the doctor, there is diabetes... and diabetes. This is because the presence of sugars in the urine can be a symptom of two very different diseases. Type 1 diabetes, which accounts for about 10% of all diabetes patients, affects young people and causes a progressive destruction of the pancreas. Type 2 is an illness of later life and involves a loss of sensitivity to insulin, the hormone secreted by the pancreas. Also known as non-insulin-dependent diabetes, type 2 diabetes affects more than 100 million people worldwide and becomes increasingly common with age. In Europe, diabetes and its serious complications - such as blindness, kidney complaints and cardiovascular problems - account for 8% of all medical costs.

Genetic determinism
In the early 1990s, a team headed by the French geneticist Philippe Froguel of the Institut Pasteur in Lille showed that a sub-form of type 2 diabetes could be caused by mutations of the coding genes for the enzyme glucokinase and for the nuclear transcription factor for hepatocytes. This was the first experimental proof of the role of genetic determinism in diabetes. However, in the vast majority of type 2 diabetes cases the genes do not actually cause the illness but rather predispose a particular individual to developing it in interaction with what are known as environmental risk factors, such as age, nutrition, weight or lack of physical activity. To use the jargon of the experts, type 2 diabetes is a multigenic and polyfactoral disease.

The question therefore is how to identify the role of genetics as distinct from lifestyle, and how to determine what genes are involved. This is the task of GIFT (Genome Integrated Force on Type 2 diabetes), a European research network coordinated by Philippe Froguel and financed by the EU.(1)

As in any study of medical genetics, the first step is to gather data on patient families. Several teams had already collected anonymous medical records on patients suffering from type 2 diabetes, complete with DNA samples and information on lifestyles and diet. GIFT entered these British, Danish, French and Swedish data into a single database - one of the biggest in the world, and one which is soon to have its own Internet site.

The post-genomic approach
But how can such a vast amount of information be used? 'The only way to understand the genetic determinism of such a complex disease is to combine a traditional genetic study with a post-genomic approach. The term itself is a contraction of 'genetic' and 'informatic', and indicates the new horizons opening up to biomedical research, which is seeking to understand and interpret the vast amount of information now available on the human genome sequence,' explains Philippe Froguel.

Genes and biochips
In a 'diabetes biochip', short oligonucleotides specific to diabetes predisposition genes - taken from the RNA preparations of a diabetes patient, for example - are deposited and fixed on the biochip surface. When this comes into contact with a DNA sample to be analysed, the nucleic acids it contains that correspond to the expression of the targeted predisposition genes will hybridise (i.e. form a double strand molecule) with prilers attached to the biochip. This hybridisation triggers an optical signal which is then automatically analysed.

GIFT's Danish partner is responsible for the genetic epidemiological study to identify which genes predispose an individual to developing diabetes, their position on the chromosomes and their sequences. A British team is providing the necessary expertise in the field of bio-informatics and statistical analysis. This first research stage has already made considerable progress, identifying on chromosome 20 a DNA sequence (a locus) which is significant for the predisposition to develop type 2 diabetes. But it is one thing to identify the genes involved in the predisposition and quite another to determine their level of expression under normal or pathological conditions, i.e. their level of transcription into RNA which will in turn be translated into protein.

This is where the post-genomic approach comes in. One of GIFT's objectives is to apply the advanced techniques of DNA biochip or microarray technology to the study of diabetes. This makes it possible, simultaneously and automatically, to analyse the level of expression of several thousand genes (see box). These diabetes biochips will be developed in cooperation with the ValiGene biotechnology company in Paris, as part of the EU's incentive policy to create a genuine European DNA biochips industry able to rival US supremacy.

These chips will be used to study the level of expression of predisposition genes both in man and in animal diabetes models. This should make it possible to identify a number of potentially susceptible genes, the role of which can then be tested in man.

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Micro-encapsulated islets of Langerhans. Complete pancreas transplants have been carried out for a number of years. Researchers are now studying the possibility of transplanting islets of Langerhans which can already be separated from the rest of the pancreas. Experiments have proved successful on rats and dogs, but are not yet conclusive for man. Research is currently concentrating on transplanting pig islets.

Molecular clues to developing new drugs
What results can be expected? It could be supposed that a programme based on predisposition genes would yield results in the field of prevention, for example identifying patients genetically likely to develop the disease before they actually become ill. But this is not the area the GIFT researchers are concentrating on, believing the lifestyle influence to be too great to envisage any genetic screening. On the other hand, the study of predisposition genes could produce significant results in the field of pharmaceutical research. A knowledge of the levels of expression of the genes involved in a predisposition to diabetes could provide molecular clues to developing new drugs. If a particular gene is found to be over-expressed in a diabetes patient, molecules could be developed to interact with the protein coded by this gene and thereby reduce its harmful effect. This is one of the most promising industrial applications of post-genomics.

The consortium is currently establishing links with several European pharmaceutical groups with a view to developing new forms of treatment based on the genes discovered. This is why patent applications have been made for these genes. There are also plans to launch a European start-up company specialising in diabetes genomics. Finally, the consortium's study will make it possible to adopt a joint approach for research on genetic predisposition in multifactoral diseases. 'Our work on diabetes could serve as an experimental paradigm for the study of other diseases which remain an enigma to biomedical research,' explains Philippe Froguel, citing 'cancer, hypertension, neurodegenerative diseases such as Alzheimer's disease, and obesity' as possible examples.

(1) GIFT received 1.94 million euros from the EU's Biomedicine programme (FP4) and is continuing to be funded under the new programme, Quality of life and living resources.

Contact

Philippe Froguel,
CNRS, Institut Pasteur de Lille (FR)
froguel@xenope.univ-lille2.fr
Bernard Mulligan,
Research DG
bernard.mulligan@ec.europa.eu

     
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