MIT’s new tiny wearables wrap around neurons to monitor or heal, opening new treatments for brain diseases like multiple sclerosis.
A study led by Umeå University, Sweden, presents new insights into how stem cells develop and transition into specialized cells. The discovery can provide increased understanding of how cells divide and grow uncontrollably so that cancer develops.
“The discovery opens a new track for future research into developing new and more effective treatments for certain cancers,” says Francesca Aguilo, associate professor at the Department of Molecular Biology at Umeå University and leader of the study in collaboration with various institutions including the University of Pavia, University of Texas Health Science Center at Houston, Universidad de Extremadura, and others.
All cells in the body arise from a single fertilized egg. From this single origin, various specialized cells with widely differing tasks evolve through a process called cellular differentiation. Although all cells share the same origin and share the same genetic information, specialized cells use the information in different ways to perform different functions. This process is regulated by genetic and epigenetic mechanisms.
In a world where choices seem endless, could it be that our ‘free will’ is nothing more than an illusion?
When it comes to things like choosing a morning run over an extra hour of sleep, opting for an apple instead of that enticing pint of ice cream, or quitting your job on a whim…
…What’s truly guiding these decisions? Is it willpower, biology, environment, or perhaps a unique strength of character we’ve built over time?
Or… could it be something else entirely, something beyond our control?
Here’s where our guest, Dr. Robert Sapolsky — a renowned Professor of Biology, Neurology and Neurosurgery at Stanford University — offers us a slightly unsettling, yet eye-opening, perspective.
He suggests that every decision we make — from the podcasts we tune into, to judges making a case verdict, to choosing our life partner — isn’t shaped by any sort of conscious control or free will. Instead, he believes our actions are driven by factors beyond our grasp and influence.
Scientists in China have managed to revive brain activity in pigs nearly an hour after circulation ceased, thanks to the surprising involvement of the liver.
If translatable to humans, this finding could have significant implications for extending the critical window in which doctors can resuscitate patients following sudden cardiac arrest.
The research team, led by Dr. Xiaoshun He at Sun Yat-Sen University, experimented with the brains of 17 Tibetan minipigs to investigate how the liver might influence brain recovery.
In a rat experiment, researchers publishing in Aging Cell have found that senescent cells and SASP factors are key in regenerating knee cartilage.
Not always negative
Cellular senescence is widely known to have negative effects, to the point that it is one of the hallmarks of aging. In fact, rather than protecting cartilage, cellular senescence has been reported to damage it in the progression of osteoarthritis [1]. However, the idea that senescence is beneficial for regeneration is not a new concept [2], and it has been found to assist wound healing in mice [3]. Understanding everything involved in this complex relationship is not easy, and one of the factors appears to be windows of time [4].
Researchers tracked the health of nearly one thousand mice on a variety of diets to see if these diets would extend the mice’s lifespan. The study was designed to ensure that each mouse was genetically distinct, which allowed the team to better represent the genetic diversity of the human population. By doing so, the results are made more clinically relevant, elevating the study to one of the most significant investigations into aging and lifespan to date.
For nearly a century, laboratory studies have shown consistent results: eat less food, or eat less often, and an animal will live longer. But scientists have struggled to understand why these kinds of restrictive diets work to extend lifespan, and how to best implement them in humans. Now, in a long-awaited study to appear in the Oct. 9 issue of Nature, scientists at The Jackson Laboratory (JAX) and collaborators tracked the health of nearly one thousand mice on a variety of diets to make new inroads into these questions.
The study was designed to ensure that each mouse was genetically distinct, which allowed the team to better represent the genetic diversity of the human population. By doing so, the results are made more clinically relevant, elevating the study to one of the most significant investigations into aging and lifespan to date.
A recently developed electronic tongue is capable of identifying differences in similar liquids, such as milk with varying water content; diverse products, including soda types and coffee blends; signs of spoilage in fruit juices; and instances of food safety concerns. The team, led by researchers at Penn State, also found that results were even more accurate when artificial intelligence (AI) used its own assessment parameters to interpret the data generated by the electronic tongue.
The researchers published their results today (Oct. 9) in Nature.
According to the researchers, the electronic tongue can be useful for food safety and production, as well as for medical diagnostics. The sensor and its AI can broadly detect and classify various substances while collectively assessing their respective quality, authenticity and freshness. This assessment has also provided the researchers with a view into how AI makes decisions, which could lead to better AI development and applications, they said.
Imagine doctors being able to predict how a disease might progress in your body based on your genetic makeup, or which treatments would be most effective for you.
This research could bring us one step closer to that reality.
To sum it all up, this new research is shaking up how we think about evolution. Instead of seeing it as a series of random events, the study suggests there’s a level of predictability influenced by gene families and genetic history.