Genome Study Says Maybe
New research unveiled five clusters of genetic variants differentiated by diverse cellular processes within the existing main divisions of insulin-deficient and insulin-resistant disease. It turned out that a עenomic study may have the potential to help cure type 2 diabetes.
A More Focused Approach is Called For
The majority of sufferers of this disease are given generic treatment irrelevant of their physiology, and this is done by trial and error. It is generally started by placing the sufferer on one of around a dozen medications. This one-size-fits-all approach inevitably leaves cases that are inadequately managed in its wake. Medical professionals suggest that a more incisive approach that considers the various molecular processes resulting in high blood sugar is required.
Tackling the Root of the Disease with Genetic Testing
Type 2 diabetes is generally driven by insulin resistance caused by the liver or fat tissues, or insulin deficiency caused by the pancreas not being able to make enough insulin. According to a study done by Harvard University scientists, hereditary genetic changes may be an underlying factor in high blood sugar and its resulting consequences. By analyzing genomic data, researchers have identified five diverse groups of DNA clusters, each driving individual forms of the disease in a distinctive way. This study suggests that this discovery may be the first step towards using genetic testing to identify type 2 diabetes subtypes and may even assist medical professionals in prescribing interventions aimed at the root cause of the diseases, instead of merely treating its symptoms.
Why this New Research is Promising
Previous research attempted to define type 2 diabetes based on various indicators, including BMI, insulin resistance and beta-cell function, all traits that can vary greatly over time. Studying inherited genetic differences that are present at birth may present a more reliable method. Initial test results showed that clusters from the study reiterated clinical observations in regards to the disease, which are indeed promising results. Further studies will include determining whether these clusters also indicate differences in response to treatment, disease progression, and complications.