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Scientists Discover Brain Cancer Begins in “Normal” Cells Long Before Tumors Appear

New research reveals that certain brain tumors may originate silently within normal brain cells long before a tumor forms. IDH-mutant glioma is a malignant brain cancer linked to changes in a single gene (IDH), and it is the most common malignant brain tumor in adults younger than 50. Doctors oft

Short, intensive workouts can help fight bowel cancer

As many of us embark on an exercise or gym routine for the new year, research reveals that just 10 minutes of intense exercise could help fight cancer.

Short bursts of energetic activity can trigger rapid molecular changes in the bloodstream, shutting down bowel cancer growth and speeding up DNA damage repair, a new study has shown.

Researchers at Newcastle University have found that exercise increases the concentration of several small molecules in the blood—many linked to reducing inflammation, improving blood vessel function, and metabolism.

Year 2100: Future Technologies that Will Rule the World

The androids of the future will be the distant results of synthetic biology and not silicon.


🚀 Step into a world of boundless innovation as we take you on a journey through the awe-inspiring technologies that await humanity in the 22nd century! 🌌 From advancements in space exploration to mind-boggling leaps in artificial intelligence, this captivating video offers a glimpse into the cutting-edge breakthroughs that will redefine the very fabric of human existence.

🌐 Witness the birth of extraterrestrial civilizations as humans venture further into space, exploring distant planets and establishing self-sustaining colonies. Experience the seamless integration of artificial intelligence into our daily lives, transforming how we interact with technology and creating new possibilities for societal progress. Prepare to be amazed by quantum computing’s extraordinary power, revolutionizing problem-solving and opening doors to scientific discoveries previously deemed impossible.

🌿 Delve into the world of sustainable marvels, where eco-friendly innovations mend our relationship with the environment and pave the way for a greener, more harmonious future. Explore the ethical implications of biotechnology advancements, which offer insights into longevity and human potential. This video paints an inspiring picture of the limitless possibilities and profound transformations that lie ahead in the remarkable world of 22nd-century technologies. Like, share, and subscribe to our channel for more captivating glimpses of the ever-evolving world of tomorrow. 🌟🔮🌠 #FutureTechnologies #22ndCenturyInnovations #EmbracingTomorrow

UNM Researchers Discover New Master Regulator of Tau, a Protein Implicated in Many Neurodegenerative Diseases

In a surprising discovery, University of New Mexico researchers have found that OTULIN – an enzyme that helps regulate the immune system – also drives the formation of tau, a protein implicated in many neurodegenerative diseases, as well as brain inflammation and aging.

In a study published in the journal Genomic Psychiatry, the researchers reported that when they deactivated OTULIN, either by administering a custom-designed small molecule or knocking out the gene that codes for it, it halted the production of tau and removed it from neurons. The study was conducted on two different types of cells, some derived from a patient who had died from late-onset sporadic Alzheimer’s disease, and the rest from a line of human neuroblastoma cells that are frequently used in neuroscience research.

The discovery opens the door to potential treatments for Alzheimer’s and other neurodegenerative diseases, said Karthikeyan Tangavelou, PhD, a senior scientist in the lab of Kiran Bhaskar, PhD, professor in the Department of Molecular Genetics & Microbiology in the UNM School of Medicine.

Machine learning can predict patients’ responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical sleeping and/or eating habits, a lack of motivation, a loss of interest in daily activities and unhelpful thought patterns.

There are now various treatments for depression, including psychotherapy-based interventions and different types of antidepressant medications. Identifying the best treatment strategy, however, is not always easy, and many patients try different medications before they find one that works for them.

Researchers at Stanford University, Lehigh University, the University of Texas at Austin and other institutes explored the potential of machine learning techniques, computational models that can identify patterns in data, for predicting the responses of individual patients to two different antidepressants and to a placebo (i.e., a pill that contains no active chemicals).

Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation

Significance.

Cellular rejuvenation through transcriptional reprogramming has emerged as exciting approach to counter aging. However, to date, only a few of rejuvenating transcription factor (TF) perturbations have been identified. In this work, we developed a discovery platform to systematically identify single TF perturbations that drive cellular and tissue rejuvenation. Using a classical model of human fibroblast aging, we identified more than a dozen candidate TF perturbations and validated four of them (E2F3, EZH2, STAT3, ZFX) through cellular/molecular phenotyping. At the tissue level, we demonstrate that overexpression of EZH2 alone is sufficient to rejuvenate the liver in aged mice, significantly reducing fibrosis and steatosis, and improving glucose tolerance. Our work expanded the list of candidate rejuvenating TFs for future translation. Abstract.

Cellular rejuvenation through transcriptional reprogramming is an exciting approach to counter aging. Using a fibroblast-based model of human cell aging and Perturb-seq screening, we developed a systematic approach to identify single transcription factor (TF) perturbations that promote rejuvenation without dedifferentiation. Overexpressing E2F3 or EZH2, and repressing STAT3 or ZFX, reversed cellular hallmarks of aging—increasing proliferation, proteostasis, and mitochondrial activity, while decreasing senescence. EZH2 overexpression in vivo rejuvenated livers in aged mice, reversing aging-associated gene expression profiles, decreasing steatosis and fibrosis, and improving glucose tolerance. Mechanistically, single TF perturbations led to convergent downstream transcriptional programs conserved in different aging and rejuvenation models. These results suggest a shared set of molecular requirements for cellular and tissue rejuvenation across species. Sign up for PNAS alerts.

Get alerts for new articles, or get an alert when an article is cited. Cellular rejuvenation through transcriptional reprogramming is an exciting approach to counter aging and bring cells back to a healthy state. In both cell and animal aging models, there has been significant recent progress in rejuvenation research. Systemic factors identified in young blood through models such as heterochronic parabiosis (in which the circulatory systems of a young and aged animal are joined) rejuvenate various peripheral tissues and cognitive function in the brain (1–4). Partial reprogramming at the cellular level with the Yamanaka factors (four stem cell transcription factors) reverses cellular and tissue-level aging markers and can extend lifespan in old mice (5–8). These discoveries support the notion that transcriptional reprogramming is a powerful approach to improving the health of cells and tissues, and one day could be used as an approach for human therapeutics. However, to date, only a couple of rejuvenating transcription factor (TF) perturbations have been identified (9, 10) and most of them require the overexpression of TFs. We hypothesized that there are multiple other TF perturbations which could reset cells and tissues back to a healthier or younger state—rejuvenating them. Identifying complementary rejuvenating strategies is important as it will increase the chance of successful future translation. We developed a high-throughput platform, the Transcriptional Rejuvenation Discovery Platform (TRDP), which combines computational analysis of TF binding motifs and target predictions (Materials and Methods), global gene expression data of old and young cell states, and experimental genetic perturbations to identify which TF can restore overall gene expression and cell phenotypes to a younger, healthier state. We developed TRDP to be applicable to any cell type, and in both aging and disease settings, with the only requirements being baseline comparison of gene expression data comparing the older/diseased state to the younger/healthier state and the ability to perform genetic perturbations. To model aging in vitro as a validation of our approach, we used the canonical aging model of passaged fibroblasts (11, 12). We tested 400 TF perturbations via our screen and validated reversal of key cellular aging hallmarks in late passage human fibroblasts for four top TFs: E2F3, EZH2, STAT3, and ZFX. Moreover, EZH2 overexpression in vivo rejuvenated livers in aged mice—reversing aging-associated global gene expression profiles, significantly reducing steatosis and fibrosis, and improving glucose tolerance. These findings point to a conserved set of molecular requirements for cellular and tissue rejuvenation.

Soft organic electrochemical neurons operating at biological speed

Organic electrochemical neurons respond to brain signals in real time, firing at biologically relevant speeds. Their flexibility and low power use could enable soft, implantable systems for closed-loop neuromodulation and future brain–computer interfaces.

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