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The connection between exercise and inflammation has captivated the imagination of researchers ever since an early 20th-century study showed a spike of white cells in the blood of Boston marathon runners following the race.

Now, a new Harvard Medical School study published in Science Immunology may offer a molecular explanation behind this century-old observation.

The study, in mice, suggests that the beneficial effects of exercise may be driven, at least partly, by the immune system. It shows that muscle inflammation caused by exertion mobilizes inflammation-countering T cells, or Tregs, which enhance the muscles’ ability to use energy as fuel and improve overall exercise endurance.

In October, a paper titled “Assembly theory explains and quantifies selection and evolution” appeared in the journal Nature. The authors—a team led by Lee Cronin at the University of Glasgow and Sara Walker at Arizona State University—claim their theory is an “interface between physics and biology” which explains how complex biological forms can evolve.

The paper provoked strong responses. On the one hand were headlines like “Bold New ” Theory of Everything’ Could Unite Physics And Evolution

On the other were reactions from scientists. One tweeted after multiple reads I still have absolutely no idea what [this paper] is doing. Another said I read the paper and I feel more confused […] I think reading that paper has made me forget my own name.

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“A lot of the technologies employed offshore now are the same technologies that have been there for the last 40 or 50 years,” says Mayall.

Turning to artificial intelligence and smart tech to overhaul maritime safety, his company Zelim is working on a trio of life-saving technologies — including an autonomous, unmanned lifeboat called “Guardian.”

The Scottish startup, which Mayall founded in 2017 when he was just 22 years old, is now working with the US Coastguard and several offshore energy companies to perfect its tech, which Mayall hopes can make rescues quicker for the victims and safer for the rescuers.

Although the transcriptomic signature of the tumor could not predict recurrence or the risk of progression, that of the TAN sample could successfully predict the recurrence of the disease and aid the stratification of patients into high-and low-risk groups.

This indicates the potential role of TAN tissue in future recurrence and its utility in predicting prognosis. However, TAN tissue could not accurately predict the formation of a new primary tumor.