From extending lifespan to bolstering the immune system, the drug’s effects are only just beginning to be understood.
The new classification system could help improve personalized medicine approaches to the disease.
March 5, 2018|
ISTOCK, ANDREY POPOV
Diabetes is a group of five diseases with distinct genetic and physiological profiles, according to a study published in The Lancet Diabetes & Endocrinology last week (March 1).
Traditionally, diabetes—a condition that affects more than 100 million Americans—has had just two classifications. However, clinicians were aware that type 1 and type 2 was “not a terribly accurate classification system” for the disease, Victoria Salem, a clinical scientist at Imperial College London who was not involved in the study, tells the BBC.
To identify more refined categories, researchers at the Lund University Diabetes Centre in Sweden and the Institute for Molecular Medicine in Finland analyzed the medical records and blood of 14,775 patients. They examined various diabetes-related measurements, such as long-term glycemic control, insulin resistance, and glycated hemoglobin, as well as genetic associations with the disease. Their investigation revealed five clusters of diabetic patients with distinct genetic profiles, complications, and rates of disease progression.
Cluster 1 is generally similar to the classical type 1 diabetes: its onset occurred when young, otherwise healthy, individuals had an autoimmune disease that made them unable to produce insulin. Patients in cluster 2 were similar to those in cluster 1, but their inability to produce insulin was not due to immune disease. Those in cluster 2 also had the highest risk of retinopathy.
Patients in cluster 3 were severely insulin-resistant and had a higher risk of developing diabetic kidney disease than those in clusters 4 and 5. Individuals in cluster 4 had mild obesity-related diabetes, and cluster 5 included those with mild age-related diabetes.
Rob Sladek, a geneticist at McGill University in Canada who was not involved in the study, notes in an accompanying editorial that classifying “more refined subtypes” of diabetes will help identify targeted therapies and improve the accuracy of clinical outcome predictions.
“This is definitely the future of how we think about diabetes as a disease," Salem tells the BBC. “There is still a massively unknown quantity—it may well be that worldwide there are 500 subgroups depending on genetic and local environment effects. Their analysis has five clusters, but that may grow.”
March 12, 2018
A very informative article, however, in theory 5 separate diseases should have distinct names. By clustering them under the one banner is not helpful to anyone. There is also the requirement to find out more about these subtypes in order to better understand what exactly this means for individuals living with this condition. However, identifying different subtypes of diabetes will change the way doctors prescribe medication to diabetic patients and how laboratories will try and fine tune this approach, which can ultimately lead to improved diagnosis and treatment.
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