Lifeboat Foundation

Researchers at Georgetown University Medical Center discovered that the protease USP13 (ubiquitin-specific peptidase 13) plays a role in the accumulation of toxic alpha-synuclein aggregates that characterize Parkinson’s disease [1].

Abstract

Ubiquitin specific proteases (USPs) are de-ubiquitinases that control the protein ubiquitination cycle. The role of de-ubiquitinases is poorly understood in neurodegenerative diseases. We found that USP13 is overexpressed in the post-mortem Parkinson’s disease (PD) brain. We investigated whether changes in USP13 levels can affect two molecules, parkin and alpha-synuclein, that are implicated in PD pathogenesis. Parkin is an E3 ubiquitin ligase that is regulated by ubiquitination and targets certain proteins for degradation, and alpha-synuclein may be ubiquitinated and recycled in the normal brain. We found that USP13 independently regulates parkin and alpha-synuclein ubiquitination in models of alpha-synucleinopathies. USP13 shRNA knockdown increases alpha-synuclein ubiquitination and clearance in a parkin-independent manner.

Continue reading “Inhibiting USP13 Might Prove Effective Against Parkinson’s Disease” »

Fruit flies and a common energy drink ingredient may help explain how the brain regulates sleep and how that regulation can go wrong.

“With our technology, we can engineer any tissue type, and after transplantation we can efficiently regenerate any diseased or injured organ — a heart after a heart attack, a brain after trauma or with Parkinson’s disease, a spinal cord after injury”

Breakthrough development uses a patient’s own stomach cells, cutting the risk of an immune response to implanted organs.

Promising news: ‘Mini brains’ grown in a dish have spontaneously produced human-like brain waves for the first time — and the electrical patterns look similar to those seen in premature babies.

Structures could help researchers to study the early stages of brain development disorders, including epilepsy.

Researchers at Virginia Tech are excited by a new drug that could help stop brain cancer spreading before it can do even more damage.

Despite being necessary for normal bodily functions, fluid in our bodies can sometimes work against us when we try to contain the spread of deadly conditions, such as brain cancer.

With glioblastoma, the deadliest of brain cancer, this fluid operates at a much higher pressure, resulting in the cancerous cells spreading across the brain at a much faster rate. To make things worse, one of the most common types of cancer therapy – whereby a catheter places a drug directly into the tumour – can accelerate the spread of cancer cells.

The brain has always been considered the main inspiration for the field of artificial intelligence(AI). For many AI researchers, the ultimate goal of AI is to emulate the capabilities of the brain. That seems like a nice statement but its an incredibly daunting task considering that neuroscientist are still struggling trying to understand the cognitive mechanism that power the magic of our brains. Despite the challenges, more regularly we are seeing AI research and implementation algorithms that are inspired by specific cognition mechanisms in the human brain and that have been producing incredibly promising results. Recently, the DeepMind team published a paper about neuroscience-inspired AI that summarizes the circle of influence between AI and neuroscience research.

You might be wondering what’s so new about this topic? Everyone knows that most foundational concepts in AI such as neural networks have been inspired by the architecture of the human brain. However, beyond that high level statement, the relationship between the popular AI/deep learning models we used everyday and neuroscience research is not so obvious. Let’s quickly review some of the brain processes that have a footprint in the newest generation of deep learning methods.

Attention is one of those magical capabilities of the human brain that we don’t understand very well. What brain mechanisms allow us to focus on a specific task and ignore the rest of the environment? Attentional mechanisms have become a recent source of inspiration in deep learning models such as convolutional neural networks(CNNs) or deep generative models. For instance, modern CNN models have been able to get a schematic representation of the input and ignore irrelevant information improving their ability of classifying objects in a picture.

Continue reading “Five Functions of the Brain that are Inspiring AI Research” »

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Michael B. Fossel, M.D., Ph.D. (born 1950, Greenwich, Connecticut) was a professor of clinical medicine at Michigan State University and is the author of several books on aging, who is best known for his views on telomerase therapy as a possible treatment for cellular senescence. Fossel has appeared on many major news programs to discuss aging and has appeared regularly on National Public Radio (NPR). He is also a respected lecturer, author, and the founder and former editor-in-chief of the Journal of Anti-Aging Medicine (now known as Rejuvenation Research).

Prior to earning his M.D. at Stanford Medical School, Fossel earned a joint B.A. (cum laude) and M.A. in psychology at Wesleyan University and a Ph.D. in neurobiology at Stanford University. He is also a graduate of Phillips Exeter Academy. Prior to graduating from medical school in 1981, he was awarded a National Science Foundation fellowship and taught at Stanford University.

In addition to his position at Michigan State University, Fossel has lectured at the National Institute for Health, the Smithsonian Institution, and at various other universities and institutes in various parts of the world. Fossel served on the board of directors for the American Aging Association and was their executive director.

Continue reading “Michael Fossel — Defeating Aging” »

Sequential electrical stimulation allowed researchers to transmit complex patterns.

‘’Examining how deep disagreements arise will demonstrate the gravity of the issue. Why do we disagree with valid, knowable facts when we all live in the same world, we have roughly the same cognitive abilities and, in the Western world at least, most people have fairly easy access to roughly the same information?

What happens when you can’t agree on the facts?