fbpx Flu and diabetes linked | Page 9 | Science in the net

Flu and diabetes linked

Read time: 1 min

A link between influenza A virus and type 1 diabetes has been discovered by the research team led by Ilaria Capua, group leader of the World Organisation for Animal Health reference laboratory for avian flu in Legnaro, Italy.

Type 1 diabetes often appears suddenly after an infection and is caused by an inflammatory response that targets the pancreatic cells that produce insulin, destroying them. For these reasons, a connection between this disease and a viral trigger has been hypothesized in the last 40 years, but nobody managed to demonstrate it.

Capua’s team tested this hypothesis in vivo on an avian model and in vitro on human pancreatic cell lines; they found that influenza infection may lead to pancreatitis and diabetes in humans and other mammals. A further confirmation of these results seems to come from several reports from Japan and Italy of many newly diagnosed cases of type 1 diabetes in people who had recently had flu, and an increase in type 1 diabetes after the 2009 swine flu pandemic.

http://jvi.asm.org/content/early/2012/10/18/JVI.00714-12.short

Autori: 
Sezioni: 
Dossier: 
Influenza A

prossimo articolo

Why have neural networks won the Nobel Prizes in Physics and Chemistry?

This year, Artificial Intelligence played a leading role in the Nobel Prizes for Physics and Chemistry. More specifically, it would be better to say machine learning and neural networks, thanks to whose development we now have systems ranging from image recognition to generative AI like Chat-GPT. In this article, Chiara Sabelli tells the story of the research that led physicist and biologist John J. Hopfield and computer scientist and neuroscientist Geoffrey Hinton to lay the foundations of current machine learning.

Image modified from the article "Biohybrid and Bioinspired Magnetic Microswimmers" https://onlinelibrary.wiley.com/doi/epdf/10.1002/smll.201704374

The 2024 Nobel Prize in Physics was awarded to John J. Hopfield, an American physicist and biologist from Princeton University, and to Geoffrey Hinton, a British computer scientist and neuroscientist from the University of Toronto, for utilizing tools from statistical physics in the development of methods underlying today's powerful machine learning technologies.