Tetrahydrocannabinol THC is the main Chemical formula for marijuana, the chemical formula has been identified by the year 1964. Scientists has been experimenting the effect of the THC on mice. Scientists from USA and Italy have reached that THC is responible of loosing weight, so when they blocked THC in mice, they noticed that the mice kept slim although they eat normally.
A team of scientists from UC Irvine (UCI), Yale and Marche Polytechnic University in Ancona, Italy discovered they could bring this metabolic miracle about in the lab by blocking the actions of a marijuana-like compound that regulates energy metabolism.
To bring about this hypermetabolic state, the researchers, led by UCI pharmacology professor Daniele Piomelli, altered forebrain neurons in mice to reduce production of a substance called 2-Arachidonoylglycerol (2-AG). Evidently, all mammalian brains contain 2-AG, a naturally-produced endocannabinoid compound. The team believes this plays a role in regulating the forebrain neural circuits that take part in energy dispersal.
When these 2-AG-deprived mice were observed, they consumed more food and were more sedentary than their unmodified cousins but gained no extra weight, even when fed high-fat chow. Especially interesting was the absence of any signs of the symptoms collectively known as metabolic syndrome, such as high blood pressure and elevated blood sugar – conditions that can eventually lead to heart disease and obesity.
So what, exactly, was going on? Mammals have two types of adipose (fat) tissue: white and brown. The white stores calories while the brown burns them for energy and heat production. In the mice with reduced 2-AG, their brown fat became hyperactive and began converting into heat at a greatly accelerated rate compared to normal mice. That’s information that could potentially turn the multi-billion dollar weight-loss industry on its head.
Obviously, we can’t go around modifying human brains to produce less 2-AG in an effort to create a race of lazy, svelte gluttons, but could some kind of weight-gain prevention drug based on this data one day find its way into the pharmaceutical pipeline?