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New MRI approach maps brain metabolism, revealing disease signatures

A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and clinicians unique insight into brain function and disease, researchers at the University of Illinois Urbana-Champaign report. The non-invasive, high-resolution metabolic imaging of the whole brain revealed differences in metabolic activity and neurotransmitter levels among brain regions; found metabolic alterations in brain tumors; and mapped and characterized multiple sclerosis lesions—with patients only spending minutes in an MRI scanner.

Led by Zhi-Pei Liang, a professor of electrical and computer engineering and a member of the Beckman Institute for Advanced Science and Technology at the U. of I., the team reported its findings in the journal Nature Biomedical Engineering.

“Understanding the brain, how it works and what goes wrong when it is injured or diseased is considered one of the most exciting and challenging scientific endeavors of our time,” Liang said. “MRI has played major roles in unlocking the mysteries of the brain over the past four decades. Our new technology adds another dimension to MRI’s capability for brain imaging: visualization of brain metabolism and detection of metabolic alterations associated with brain diseases.”

Gene editing treats smooth muscle disease in preclinical model

Using gene editing in a preclinical model, researchers at UT Southwestern Medical Center blocked the symptoms of a rare smooth muscle disease before they developed. Their findings, published in Circulation, could eventually lead to gene therapies for this and other genetic diseases affecting smooth muscle cells.

“Gene editing has been used in other disease contexts, but its application to inherited vascular diseases, particularly targeting in vivo, is still emerging. Our approach advances the field by demonstrating functional correction in a cell type that’s notoriously difficult to target,” said Eric Olson, Ph.D., Chair and Professor of Molecular Biology and a member of the Harold C. Simmons Comprehensive Cancer Center at UT Southwestern.

Dr. Olson co-led the study with Ning Liu, Ph.D., Professor of Molecular Biology, and first author Qianqian Ding, Ph.D., postdoctoral researcher, both members of the Olson Lab.

Rare Gene Mutation Delays Alzheimer’s by Damping Immune Cell Inflammatory Signaling

Researchers at Weill Cornell Medicine report that a rare gene mutation that delays Alzheimer’s disease does so by damping inflammatory signaling in brain-resident immune cells in a preclinical study. The finding adds to growing evidence that brain inflammation is a major driver of neurodegenerative disorders such as Alzheimer’s—and that it may be a key therapeutic target for these disorders.

In their study “The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway,” in Immunity, the investigators examined the effects of the mutation APOE3-R136S—known as the “Christchurch mutation”—which was recently found to delay hereditary early-onset Alzheimer’s. The scientists showed that the mutation inhibits the cGAS-STING pathway, an innate immune signaling cascade that is abnormally activated in Alzheimer’s and other neurodegenerative diseases. The researchers found that pharmacologically blocking the cGAS-STING pathway with a drug-like inhibitor replicated key protective effects of the mutation in a preclinical model.

“This is an exciting study because it suggests that inhibiting this cGAS-STING pathway could make the brain more resistant to the Alzheimer’s process, even in the face of significant tau accumulation,” said study senior author Li Gan, PhD, the Burton P. and Judith B. Resnick Distinguished Professor in Neurodegenerative Diseases and director of the Helen and Robert Appel Alzheimer’s Disease Research Institute at Weill Cornell Medicine.

“Delete-To-Recruit” — Scientists Discover Simpler Approach to Gene Therapy

Repositioning genes awakens fetal hemoglobin to treat disease. CRISPR editing may change future gene therapy.

Researchers have discovered a promising new approach to gene therapy by reactivating genes that are normally inactive. They achieved this by moving the genes closer to regulatory elements on the DNA known as enhancers. To do so, they used CRISPR-Cas9 technology to cut out the piece of DNA separating the gene from its enhancer. This method could open up new ways to treat genetic diseases. The team demonstrated its potential in treating sickle cell disease and beta-thalassemia, two inherited blood disorders.

In these cases, a malfunctioning gene might be bypassed by reactivating an alternative gene that is usually turned off. This technique, called “delete-to-recruit,” works by altering the distance between genetic elements without introducing new genes or foreign material. The study was conducted by researchers from the Hubrecht Institute (De Laat group), Erasmus MC, and Sanquin, and published in the journal Blood.

AI tool identifies five distinct cancer cell groups within individual tumors

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.

Findings on the development and use of the AI tool, called AAnet, have been published in Cancer Discovery.

Tumors aren’t made up of just one cell type—they’re a mix of different cells that grow and respond to treatment in different ways. This diversity, or heterogeneity, makes cancer harder to treat and can in turn lead to worse outcomes, especially in .

Human Cyborgs Are No Longer Science Fiction! (Insane Breakthroughs)

Are human cyborgs the future? You won’t believe how close we are to merging humans with machines! This video uncovers groundbreaking advancements in cyborg technology, from bionic limbs and brain-computer interfaces to biological robots like anthrobots and exoskeletons. Discover how these innovations are reshaping healthcare, military, and even space exploration.

Learn about real-world examples, like Neil Harbisson, the colorblind cyborg artist, and the latest developments in brain-on-a-chip technology, combining human cells with artificial intelligence. Explore how cyborg soldiers could revolutionize the battlefield and how genetic engineering might complement robotic enhancements.

The future of human augmentation is here. Could we be on the verge of transforming humanity itself? Dive in to find out how science fiction is quickly becoming reality.

How do human cyborgs work? What are the latest AI breakthroughs in cyborg technology? How are cyborgs being used today? Could humans evolve into hybrid beings? This video answers all your questions. Don’t miss it!

#ai.
#cyborg.
#ainews.

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Quantum breakthrough: ‘Magic states’ now easier, faster, and way less noisy

Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create “magic states”—a key component for fault-tolerant quantum computers. By pioneering a low-level, or “level-zero,” distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.

Two proteins that could lead to less toxic cancer treatments identified

Cells depend on the precise reading of DNA sequences to function correctly. This process, known as gene expression, determines which genetic instructions are activated. When this fails, the wrong parts of the genome can be activated, leading to cancers and neurodevelopmental disorders.

Scientists at the University of Geneva (UNIGE) have identified two proteins that play a key role in regulating this essential mechanism, paving the way for promising new treatments that could be more effective and less toxic than those currently available. Their findings are published in Nature Communications.

Human DNA contains over 20,000 genes and would stretch nearly two meters if fully uncoiled. To fit this enormous amount of information into a tiny space within a cell—just 10 to 100 micrometers in diameter—it must be tightly compacted. This is the job of , a complex of proteins that packages and condenses DNA within the .

Engineering biology applications for environmental solutions: potential and challenges

Engineering biology applies synthetic biology to address global environmental challenges like bioremediation, biosequestration, pollutant monitoring, and resource recovery. This perspective outlines innovations in engineering biology, its integration with other technologies (e.g., nanotechnology, IoT, AI), and commercial ventures leveraging these advancements. We also discuss commercialisation and scaling challenges, biosafety and biosecurity considerations including biocontainment strategies, social and political dimensions, and governance issues that must be addressed for successful real-world implementation. Finally, we highlight future perspectives and propose strategies to overcome existing hurdles, aiming to accelerate the adoption of engineering biology for environmental solutions.


The scale of global environmental challenges requires a multi-pronged approach, which utilises all the technologies at our disposal. Here, authors provide their perspective on the potential of engineering biology for environmental biotechnology, summarizing their thoughts on the key challenges and future possibilities for the field.

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