Discovery of fat-burning 鈥榮witch鈥� could lead to advances in bone disease treatments
Scientists鈥� discovery of a molecular 鈥渟witch鈥� that activates an energy鈥慴urning pathway in mice has the potential to lead to new treatments for bone disease.
The study, published in , sheds new light on brown fat. Unlike white fat, which stores energy, brown fat cells burn calories, producing heat as a byproduct. For years, it was believed this process relied on a single pathway. More recently, researchers discovered a parallel pathway, but how it became activated remained a mystery.
Public education will be critical as provinces roll out new cervical cancer screening method, researchers say
As Canada moves to modernize cervical cancer screening, a new study suggests most women do not yet understand or trust the shift from the Pap test to human papillomavirus (HPV) based screening.
The national survey, published in , examined women鈥檚 preferences for cervical screening 鈥� including how they want to be screened and how they want information communicated 鈥� as Canada transitions from Pap tests to HPV testing.
Unleashing natural killer cells against cancer
Scientists have developed a strategy to boost the cancer-fighting power of natural killer (NK) cells, part of the immune system鈥檚 first line of defence. NK cells can detect and destroy cancer cells, but tumours often create a protective barrier that blocks them, allowing cancer to grow.
Researchers at 麻豆社鈥檚 Rosalind & Morris Goodman Cancer Institute, in collaboration with the Research Institute of the 麻豆社 Health Centre, found that suppressing two specific proteins helps NK cells overcome this blockage, turning them into more potent cancer killers.
NSERC awards two 麻豆社 professors $1.65 million each to prepare the next generation of researchers
Projects focusing on MedTech and genomics cut across disciplines while mobilizing expertise at 麻豆社 and other Quebec institutions to meet the challenges of today and tomorrow 聽
AI tool pinpoints cells driving aggressive cancers
麻豆社 researchers have developed an artificial intelligence tool that can identify small groups of cells most responsible for driving aggressive cancers.
The tool, called SIDISH, offers scientists a clearer path to designing targeted therapies by showing which cells inside a tumour are most strongly linked with poor patient outcomes, rather than treating all cancer cells as if they behave the same way.
