A new research, presented at the American Heart Association’s Epidemiology and Prevention/Lifestyle 2017 Scientific Sessions, suggests that eating a low-gluten diet may increase the chances of getting type 2 diabetes.
For the study, the team evaluated the gluten consumption of nearly 200,000 individuals in three long-term studies. Having analyzed the collected data, the scientists concluded that participants who had the highest gluten intake, up to 12g a day, had a lower risk of developing type 2 diabetes over the 30-year period. This is connected to the fact that cereals contain fiber, which is known to protect against type 2 diabetes.
Geng Zong, one of the study’s authors and a researcher in the Department of Nutrition at Harvard University’s T.H. Chan School of Public School in Boston, says: “People without celiac disease may reconsider limiting their gluten intake for chronic disease prevention, especially for diabetes.”
The first years of the twentieth century are marked by a breakthrough in criminalistics – beginning to use fingerprints to identify the criminals. Only 100 years later, it turned out that fingerprinting is able to detect people with a tendency to diabetes.
It is possible that soon, diagnostic laboratories of clinics and hospitals will have electronic devices for fingerprint scanning of patients. Using this method, well known to all lovers of police detectives, doctors can proactively identify people with an increased tendency to develop diabetes type 2.
It is known that any disease is easier to prevent than to cure – that’s why many of those who will be promptly referred to the risk, can avoid developing diabetes by simple lifestyle changes.
All this will be possible thanks to the discovery, which made by American scientists from Ohio University.
They found that people with asymmetry fingerprint matching on both hands (eg, index fingers of the left and right hand), the risk of developing diabetes type 2 are positively correlated with the degree of such asymmetry.
The same group of scientists has developed a highly accurate method for determining the asymmetry of papillary patterns on the fingers using a mathematical method called wavelet analysis data.
Checking the effectiveness of fingerprinting to identify persons at high risk of developing diabetes was carried out with the participation of 340 people, 200 participants of them had previously been diagnosed with diabetes.
The authors believe that determination of the increased risk of developing this disease can even be possible by comparing fingerprints of newborn fingers.
Now scientists from Ohio carrying out a new phase of the study, during which they will try to determine whether this method is applicable for the detection of an increased risk of type 1 diabetes.
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