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The naked mole rat won’t win any beauty contests, but it could possibly win in the talent category. Its superpower: fighting the aging process to live several times longer than other animals its size, in a state of youthful vigor.

It’s believed that naked mole rats experience all the normal processes of wear and tear over their lifespan, but that they’re exceptionally good at repairing the damage from oxygen free radicals and the DNA errors that accumulate over time. Even though they possess genes that make them vulnerable to cancer, they rarely develop the disease, or any other age-related disease, for that matter. Naked mole rats are known to live for over 40 years without any signs of aging, whereas mice live on average about two years and are highly prone to cancer.

Now, these remarkable animals may be able to share their superpower with other species. In August, a study provided what may be the first proof-of-principle that genetic material transferred from one species can increase both longevity and healthspan in a recipient animal.

Exercise offers benefits for those with type 1 diabetes, but needs careful blood glucose management. Anaerobic & aerobic exercise cause different responses-optimize nutrition, insulin dosing & monitoring to reach target ranges & reduce dysglycemia risk.

Type 1 diabetes mellitus is an autoimmune disease caused by affected individuals’ autoimmune response to their own pancreatic beta-cell. It affects millions of people worldwide. Exercise has numerous health and social benefits for patients with type 1 diabetes mellitus; however, careful management of blood glucose is crucial to minimize the risk of hypoglycemia and hyperglycemia. Anaerobic and aerobic exercises cause different glycemic responses during and after exercise, each of which will affect athletes’ ability to reach their target blood glucose ranges. The optimization of the patient’s macronutrient consumption, especially carbohydrates, the dosage of basal and short-acting insulin, and the frequent monitoring of blood glucose, will enable athletes to perform at peak levels while reducing their risk of dysglycemia. Despite best efforts, hypoglycemia can occur.

Startup Twin Health is developing a program that uses sensor data to construct a replica of a person’s metabolism and then simulate virtual interventions on the body. The simulations suggest non-drug recommendations that help reverse metabolic disorders such as diabetes.

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A team of scientists at UC San Francisco reported a way to leverage cancers’ unique metabolic profile to ensure that drugs only target cancer cells: Freethink.

To make matters worse, cancer cells sometimes only die when patients take relatively high doses of a drug. This is because cancer’s metabolism is often greater in cancer cells than in normal cells. For instance, some cancer cells have more MEK enzyme — meaning more cobimetinib is required to stop these cells from replicating. Unfortunately, the doses cancer patients receive often closely approach or even exceed the levels at which the drug causes toxicities in healthy tissues.

Cancer cells hoard iron at a far greater rate than healthy cells, according to previous studies. Although the reason for this remains unclear, the UCSF team realized this could be leveraged to increase the specificity of cancer drugs. If a cancer drug, such as cobimetinib, were only activated in the iron-rich environment of a cancer cell, the drug would be inert when it interacts with healthy cells. It’s something like a two-factor authentication system for cancer drugs.

Continue reading “Is iron the Achilles’ heel for cancer?” »

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Researchers examine how the brain processes language by using intracranial recordings in epilepsy patients during reading tasks, revealing the neural networks responsible for semantic integration and distinguishing between semantic coherence and task-based referentiality. The study pinpoints specific brain regions activated during sentence processing and offers new insights into the spatiotemporal dynamics of language understanding.

Regenerative medicine and tissue engineering strategies have made remarkable progress in remodeling, replacing, and regenerating damaged cardiovascular tissues. The design of three-dimensional (3D) scaffolds with appropriate biochemical and mechanical characteristics is critical for engineering tissue-engineered replacements. The extracellular matrix (ECM) is a dynamic scaffolding structure characterized by tissue-specific biochemical, biophysical, and mechanical properties that modulates cellular behavior and activates highly regulated signaling pathways. In light of technological advancements, biomaterial-based scaffolds have been developed that better mimic physiological ECM properties, provide signaling cues that modulate cellular behavior, and form functional tissues and organs.

Despite many studies showing pigeons are surprisingly smart, from being as good at counting as primates, to being able to identify breast cancer in X-rays, scientists are fighting a losing battle to dispute their widely held reputation as being a bit “dim-witted.”

A new study has pitted the pigeon up against an artificial-intelligence model and found that both bird and computer follow a similar process in order to work out the problem they’re presented with.

“We found really strong evidence that the mechanisms guiding pigeon learning are remarkably similar to the same principles that guide modern machine learning and AI techniques,” said Brandon Turner, lead author of the study and professor of psychology at Ohio State University. “Our findings suggest that in the pigeon, nature may have found a way to make an incredibly efficient learner that has no ability to generalize or extrapolate like humans would.”

Dr. Lecia Sequist is the Program Director of the Cancer Early Detection & Diagnostics Clinic at Mass General Cancer Center. For nearly 20 years, she’s specialized in lung cancer.

Observing first-hand the obstacles involved in current screenings of lung cancer, Dr. Sequist made a career switch to the research of early lung cancer detection. This led her to meet MIT professor, Regina Barzilay. Together, they created Sybil – an open-source AI tool that uses pattern recognition to predict one’s risk of lung cancer.

Continue reading “Detecting Lung Cancer EARLY With AI: Dr. Lecia Sequist” »

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Continue reading “Telomere Length Test #5 in 2023: Which Dietary Factors Are Significantly Correlated?” »