Sitting alongside the neurons in your enteric nervous system are underappreciated glial cells, which play key roles in digestion and disease that scientists are only just starting to understand.
Category: biotech/medical
Scientific knowledge can progress rapidly, yet its social, economic, and political impacts often unfold at a painstakingly slow pace. The medicine of the 21st century draws upon genetic and embryological breakthroughs of the 19th century. Our current technology is firmly grounded in quantum physics, which was formulated a century ago. And the topic of the day, artificial intelligence (AI), traces its origins to the secret weapons research during World War II.
In 1935, the brilliant British mathematician, Alan Turing, envisioned a conceptual computer. His genius would later lead him to crack the Enigma code used by German submarines for secret communications during the war. Turing’s contributions extended beyond cryptography, as he introduced fundamental concepts of AI, including the training of artificial neural networks. Benedict Cumberbatch portrayed Turing in the 2014 film The Imitation Game, which earned a screenplay Oscar that year. All this historical context brings us to the heart of the current AI revolution.
AI uses neural networks, also known as artificial neural networks, which are comprised of multiple layers of artificial neurons. Each neuron receives numerous inputs from the lower layer and produces a single output to the upper layer, similar to the dendrites and axon of natural neurons. As information progresses through each layer, it gradually becomes more abstract, resembling the process that occurs in the visual cortex of our brains.
(Nanowerk News) A hardware accelerator initially developed for artificial intelligence operations successfully speeds up the alignment of protein and DNA molecules, making the process up to 10 times faster than state-of-the-art methods.
This approach can make it more efficient to align protein sequences and DNA for genome assembly, which is a fundamental problem in computational biology.
Aera Therapeutics, a startup launched by the CRISPR pioneer Feng Zhang last year to solve one of the biggest bottlenecks in genetic medicine, has laid off a quarter of its staff, the company confirmed to STAT.
The layoffs come as the biotech market remains mired in a now nearly three-year-long downturn that has left startups struggling to attract both private and public funds. Aera attributed the layoffs to those headwinds and indicated it had axed a portion of the company dedicated to developing new gene-editing enzymes.
“In 2023, Aera launched to pursue an ambitious mission to develop transformative genetic medicines by harnessing enabling delivery technologies and precision payloads,” spokesman Dan Budwick said in a statement. “Although Aera remains in a strong cash position today, given the current biotech funding environment, we have chosen to take steps to focus our strategy and investments on the development of our novel delivery platforms, thereby further extending our cash runway.”
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Credits:\
The Fermi Paradox: Pancosmorio Theory\
Episode 428; January 4, 2024\
Produced, Written \& Narrated by: Isaac Arthur\
Editor: Briana Brownell\
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Jeremy Jozwik\
Ken York\
Mafic Studios\
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Music Courtesy of:\
Epidemic Sound http://epidemicsound.com/creator
The authors evolved antibiotic-resistant Helicobacter pylori in the absence of antibiotics and presence of DNA from antibiotic-sensitive strains. Horizontal gene transfer mediated the molecular reverse evolution of the antibiotic-resistance gene to the antibiotic-sensitive allele, and the authors used theoretical modelling to determine the evolutionary conditions that promote reverse evolution.
Radon, a naturally occurring radioactive gas produced when metals like uranium or radium break down in rocks and soil, is a known cause of lung cancer. Now new research has found exposure to high levels of this indoor air pollutant is associated with an increased risk of another condition in middle age to older female participants with ischemic stroke. The study is published in the January 3, 2024, online issue of Neurology, the medical journal of the American Academy of Neurology. Ischemic stroke is caused by a blockage of blood flow to the brain and is the most common type of stroke.
The condition, called clonal hematopoiesis of indeterminate potential (CHIP), develops when some hematopoietic stem cells, the building blocks for all blood cells, undergo genetic mutations as a person ages. Cells with such mutations replicate more quickly than cells without them. Previous research has shown people with CHIP may have a higher risk of blood cancers like leukemia and cardiovascular disease including stroke.
The study involved 10,799 female participants with an average age of 67. Approximately half of participants had a stroke or blood clots.
During our lives, normal exposures cause DNA damage to build up. Eventually, this causes cancer and age-related diseases. Studying DNA-repairing animals could help treat these issues.
Nearly 2 million Americans suffer from type 1 diabetes — a condition that causes drastic spikes or drops in sugar levels and, in turn, dizziness, nausea, and fatigue. It’s a condition that must constantly be monitored, something that a lot of diabetics find mentally exhausting.
One diabetic, Naomi, told the BBC that she couldn’t handle “the physical or mental challenges of diabetes anymore,” and struggled to monitor her blood sugar levels multiple times a day. Naomi’s struggle isn’t unique — it’s called diabetes burnout.
There’s no cure for type 1 diabetes. However, researchers at the University of Arizona have adapted a cancer immunotherapy technique that has produced promising results in treating diabetes (in mice). The researchers engineered immune cells to fight off rogue T cells (immune cells that go haywire and attack the body) that can damage the pancreas, causing type 1 diabetes.
Several techniques currently are used to determine the pace of aging in animals and, to a lesser degree, in humans. However, the techniques used in humans lack accuracy, don’t assess aging in specific organs, are not widely available, and are expensive.
A multi-institutional research team measured the levels of nearly 5,000 human proteins in 5,676 people of all ages who were followed for as long as 15 years in five prospective longitudinal cohorts. Each measured protein was associated with specific organs, based on previous studies: adipose tissue, artery, brain, heart, immune tissue, intestine, kidney, liver, lung, muscle, or pancreas. Combinations of proteins indicated the pace of aging in each organ. Accelerated aging of one organ was found in nearly 20% of people, and accelerated aging of multiple organs was noted in ≈2%. Accelerated aging in a specific organ correlated with risk for developing disease in that organ. For example, people with accelerated heart aging (vs. those without it) had 250% higher risk for developing heart failure, and people with accelerated brain and vascular aging had nearly 60% higher risk for developing Alzheimer disease.
Various tools — from sequencing a person’s genome to measuring gene expression (e.g., the “methylome”) — are becoming available to predict a person’s risk for developing particular diseases. Will these predictions lead to interventions that lower risk? The jury is still out on that question.