Researchers at Karolinska Institutet have succeeded in delivering targeted cancer treatment via small membrane bubbles that our cells use to communicate. A new study published in Nature Biomedical Engineering shows that the treatment reduces tumour growth and improves survival in mice.
In a recent study published in Nature Cancer, a team of researchers investigated the unique structure of deoxyribonucleic acid (DNA) in extracellular vesicles (EVs) and its role in cancer progression.
The study examined how EV-DNA, through its association with histones, influences immune cell responses and impacts the pre-metastatic niche. It also explored how it could serve as a predictive biomarker for metastasis, especially in colorectal cancer.
The study highlights how EV-DNA packaging influences immune responses and its promise as a biomarker for assessing colorectal cancer metastasis risk.
Increasing the levels of chemicals naturally produced in the body called endocannabinoids may thwart the highly addictive nature of opioids such as morphine and oxycodone while maintaining the drugs’ ability to relieve pain, according to Weill Cornell Medicine investigators working with researchers from The Center for Youth Mental Health at NewYork-Presbyterian. Endocannabinoids bind to cannabinoid receptors throughout the body that regulate activities, such as learning and memory, emotions, sleep, immune response and appetite.
Opioids prescribed to control pain can become addictive because they not only dull pain, but also produce a sense of euphoria. The preclinical study, published Nov. 29 in Science Advances, may lead to a new type of therapeutic that could be taken with an opioid regimen to only reduce the rewarding aspect of opioids.
In 2023, opioid abuse or overuse was responsible for more than 80,000 deaths, fueling a national crisis, according to the U.S. Centers for Disease Control and Prevention. Illegal recreational drugs were ultimately responsible for many deaths, but not all of them. “When someone has surgery and is taking opioids for pain management, there’s always a risk of developing a dependence on these drugs,” said senior author Dr. Francis Lee, chair of the Department of Psychiatry at Weill Cornell Medicine and psychiatrist-in-chief at New York-Presbyterian/Weill Cornell Medical Center.
Drug-induced toxicity is one of the leading reasons new drugs fail clinical trials. Machine learning models that predict drug toxicity from molecular structure could help researchers prioritize less toxic drug candidates. However, current toxicity datasets are typically small and limited to a single organ system (e.g., cardio, renal, or liver). Creating these datasets often involved time-intensive expert curation by parsing drug label documents that can exceed 100 pages per drug. Here, we introduce UniTox[1][1], a unified dataset of 2,418 FDA-approved drugs with drug-induced toxicity summaries and ratings created by using GPT-4o to process FDA drug labels. UniTox spans eight types of toxicity: cardiotoxicity, liver toxicity, renal toxicity, pulmonary toxicity, hematological toxicity, dermatological toxicity, ototoxicity, and infertility. This is, to the best of our knowledge, the largest such systematic human in vivo database by number of drugs and toxicities, and the first covering nearly all FDA-approved medications for several of these toxicities. We recruited clinicians to validate a random sample of our GPT-4o annotated toxicities, and UniTox’s toxicity ratings concord with clinician labelers 87–96% of the time. Finally, we benchmark a graph neural network trained on UniTox to demonstrate the utility of this dataset for building molecular toxicity prediction models.
### Competing Interest Statement.
The authors have declared no competing interest.
Biobanks are an obvious use case for DNA data storage. “With this technology, you could convert a biobank that is the size of a football field into something that can fit with everything in the palm of your hand,” says Banal. With encapsulation technologies, the DNA samples can be stored at room temperature. Compared to storing samples in freezing conditions in conventional biobanks or data centers that require extensive cooling, this has significantly lower energy consumption.
Until recently, scientific and medical applications were the sole drivers behind storing data in DNA. New research could broaden its scope to cryptography and nanotechnology. Another interesting development is the emerging intersection of DNA data storage and DNA computing. Indexing methods for DNA data retrieval mentioned earlier are an early example of that. Today, one of the most pressing commercial drivers of the technology is the data centers.
As researchers and startups chip away at its limitations, DNA data storage is becoming a viable commercial solution for storing all kinds of data at scale. The DNA Data Storage Alliance, a consortium founded in 2020, counts legacy data storage giants such as Western Digital and Seagate among its members.
A new study is shedding light on how stimulating the right bits of the brain can produce dramatic—and seemingly permanent—improvements in the ability of paralysed patients to walk again https://econ.st/3DfZk5L
Photo: NeuroRestore / EPFL 2024
Implanted electrodes allowed one man to climb stairs unaided.
Diet has a key role in the reproductive axis both in males and females. This review aims to analyze the impacts of different dietary patterns on fertility. It appears that the Mediterranean diet has a predominantly protective role against infertility, while the Western diet seems to be a risk factor for infertility. Moreover, we focus attention also on dietary patterns in different countries of the World (Middle Eastern diet, Asian diet). In particular, when analyzing single nutrients, a diet rich in saturated fatty acids, cholesterol, animal proteins, and carbohydrates with high glycemic index is highly associated with male and female infertility. Finally, we evaluate the effects of vegetarian, vegan, and ketogenic diets on fertility, which seem to be still unclear.
Thirteen proteins linked to brain aging in humans are identified in a Nature Aging paper. Changes in the concentrations of these blood proteins may peak at 57, 70, and 78 years old in humans, and suggest that these ages may be important for potential interventions in the brain aging process.
It is estimated that by 2050 the number of individuals aged 65 years and over will exceed 1.5 billion globally, highlighting the need for a deeper understanding of the aging process—particularly in relation to the brain.
The prevalence of neurodegenerative disorders, such as dementia, is known to increase with aging; however, effective therapies are still limited. The early identification of and intervention in brain aging could help us to prevent such disorders.
A group of scientists at VCU Massey Comprehensive Cancer Center has revealed a new genetic code that acts like a cancer ringleader, recruiting and deploying a gang of tumor cells to incite a biological turf war by invading healthy organs and overpowering the normal cells.
This discovery— published today, Dec. 9, in Nature Biotechnology —could unveil an entirely different understanding of the origins of cancer within the body, as well as offer insight into new treatment strategies that could target the growth of tumors in their earliest stages.
The study authors have also developed an intravenous therapy that empowers healthy cells to mount an immune response and build up a defensive resistance against these invading tumor cells. This treatment has already been proven effective in ovarian tumors, but the implications of this research could be universal to all cancer types.
Science and Technology: Google said its quantum computer, based on a computer chip called Willow, needed less than five minutes to perform a mathematical calculation that one of the world’s most powerful supercomputers could not complete in 10 septillion years, a length of time that exceeds the age of the known universe.
Electronic skins (e-skins) are flexible sensing materials designed to mimic the human skin’s ability to pick up tactile information when touching objects and surfaces. Highly performing e-skins could be used to enhance the capabilities of robots, to create new haptic interfaces and to develop more advanced prosthetics.
In recent years, researchers and engineers have been trying to develop e-skins with individual tactile units (i.e., taxels) that can accurately sense both normal (i.e., perpendicular) and shear (i.e., lateral) forces. While some of these attempts were successful, most existing multi-axis sensors are based on intricate designs or require complex fabrication and calibration processes, which limits their widespread deployment.
Researchers at CNRS-University of Montpellier have introduced a new soft e-skin that leverages magnetic fields to independently detect forces on three axes. This e-skin, described in a paper published in Nature Machine Intelligence, has a simple design that could be easy to reproduce on a large scale.