Electromagnetic Fields Show Potential in Treating Diabetes in Animal Models
Researchers seem to have discovered a new way to manage diabetes without using needles or any other invasive means. The University of Iowa team found that when diabetic mice were exposed to a combination of magnetic fields and static electricity fields for a few hours on a daily basis, it caused them to have normal insulin and blood sugar levels. This unexpected discovery opens the door to a novel way of managing diabetes in humans more easily and safely.
According to the findings which appeared in the journal Cell Metabolism on October 6, the initial discovery which led to this research was purely accidental. Sunny Huang, one of the researchers on this study, needed to practice how to draw blood from mice and measure the blood glucose levels of the samples taken. Calvin Carter, PhD, the co-lead author, give Sunny several rodents which he had been doing research on regarding how electromagnetic fields affect the behavior and brains of mice.
Sunny was astounded to find that all the mice had normal blood glucose and insulin levels and yet mice exposed to EMF tended to have high blood pressure and diabetes. What was more shocking was the fact that these particular mice had been genetically modified so that they could all be diabetic.
When Carter’s attention was drawn to this anomaly, a partnership was born to study how EMFs could be used to treat or even reverse diabetics. The researchers felt that if they investigated the matter further and confirmed that electromagnetic fields and static electricity could indeed reverse the biomarkers for diabetes, then a major way to handle diabetic patients would have been opened. The results held up.
The researchers say that there are indicators everywhere that some cells in the body are uniquely designed to respond to electromagnetic radiation. For example, migratory birds are said to rely on EMFs for navigation.
The team found that an oxidant molecule called superoxide in the liver of mice was responsible for the activation of an antioxidant body response which rebalanced the body’s ability to react to insulin and control blood sugar levels.
When the researchers removed those superoxide molecules from the liver, they noticed that EMFs couldn’t have any effect on the insulin and blood glucose levels of the mice.
The team is now turning its attention to studying whether the beneficial effects of EMFs on diabetes can also be replicated in humans. If that turns out to be the case, the researchers hope to develop therapies around their discovery. There are lots of biomedical companies out there striving day and night to come up with new ways to address the current health challenges. One interesting company which you can watch is DarioHealth Corp. (NASDAQ: DRIO). They focus on digital therapeutics and they have popularized smartphone-based software to manage chronic illnesses.
Please see full terms of use and disclaimers on the BioMedWire website applicable to all content provided by BMW, wherever published or re-published: http://BMW.fm/Disclaimer
Researchers seem to have discovered a new way to manage diabetes without using needles or any other invasive means. The University of Iowa team found that when diabetic mice were exposed to a combination of magnetic fields and static electricity fields for a few hours on a daily basis, it caused them to have normal insulin and blood sugar levels. This unexpected discovery opens the door to a novel way of managing diabetes in humans more easily and safely.
According to the findings which appeared in the journal Cell Metabolism on October 6, the initial discovery which led to this research was purely accidental. Sunny Huang, one of the researchers on this study, needed to practice how to draw blood from mice and measure the blood glucose levels of the samples taken. Calvin Carter, PhD, the co-lead author, give Sunny several rodents which he had been doing research on regarding how electromagnetic fields affect the behavior and brains of mice.
Sunny was astounded to find that all the mice had normal blood glucose and insulin levels and yet mice exposed to EMF tended to have high blood pressure and diabetes. What was more shocking was the fact that these particular mice had been genetically modified so that they could all be diabetic.
When Carter’s attention was drawn to this anomaly, a partnership was born to study how EMFs could be used to treat or even reverse diabetics. The researchers felt that if they investigated the matter further and confirmed that electromagnetic fields and static electricity could indeed reverse the biomarkers for diabetes, then a major way to handle diabetic patients would have been opened. The results held up.
The researchers say that there are indicators everywhere that some cells in the body are uniquely designed to respond to electromagnetic radiation. For example, migratory birds are said to rely on EMFs for navigation.
The team found that an oxidant molecule called superoxide in the liver of mice was responsible for the activation of an antioxidant body response which rebalanced the body’s ability to react to insulin and control blood sugar levels.
When the researchers removed those superoxide molecules from the liver, they noticed that EMFs couldn’t have any effect on the insulin and blood glucose levels of the mice.
The team is now turning its attention to studying whether the beneficial effects of EMFs on diabetes can also be replicated in humans. If that turns out to be the case, the researchers hope to develop therapies around their discovery. There are lots of biomedical companies out there striving day and night to come up with new ways to address the current health challenges. One interesting company which you can watch is DarioHealth Corp. (NASDAQ: DRIO). They focus on digital therapeutics and they have popularized smartphone-based software to manage chronic illnesses.
Please see full terms of use and disclaimers on the BioMedWire website applicable to all content provided by BMW, wherever published or re-published: http://BMW.fm/Disclaimer
