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Largest ever molecular map of autism opens new paths to precision therapies

For more than two decades, researchers have identified hundreds of genes that increase the risk of autism spectrum disorder (ASD). Yet multiple fundamental questions have remained unanswered: Among them, how do mutations in these genes lead directly to changes in brain development, and how can that knowledge be translated into more effective therapies?

In a new study published in Science, scientists at the Quantitative Biosciences Institute (QBI) and the Department of Psychiatry and Behavioral Sciences at the University of California, San Francisco (UCSF) have taken a major step toward answering both questions. The findings are the result of more than a decade of work. By building the largest molecular interaction map of autism, the team revealed how hundreds of genes and dozens of mutations converge within a surprisingly small number of shared protein networks, overcoming a major roadblock to the development of new precision medicines.

Rather than focusing only on the genes linked to autism, the researchers mapped the proteins encoded by those genes and discovered how individual disease-causing mutations can rewire the molecular machinery of the developing brain. The work uncovers an entirely new layer of disease biology, offering therapeutic targets and providing a framework for designing medicines that directly address a wide range of underlying molecular causes of autism.

Cell therapy substantially reduces severe rheumatoid arthritis in first clinical trial

Immunotherapies such as CAR T-cell therapy are used primarily to treat cancer. In the future, these patient-specific therapies, manufactured from patients’ own immune cells, could also help cure autoimmune diseases. Six patients with particularly severe rheumatoid arthritis have now received this treatment at Charité—Universitätsmedizin Berlin. In the journal Nature Medicine, the researchers report the results from the world’s first clinical trial of its kind: Disease activity decreased substantially in all participants. By the end of the observation period, three of the patients no longer required any medication for rheumatoid arthritis.

Rheumatoid arthritis is a chronic disease in which the immune system mistakenly attacks the body’s own joints. This causes recurrent inflammation and joint swelling and, as the disease progresses, can lead to joint damage. Currently available treatments can usually keep the inflammation under control but do not cure the disease. Patients therefore require lifelong medication, including anti-inflammatory drugs and medications that suppress the immune system, with all the associated side effects.

In some patients, even several of the newer treatments fail to produce an adequate response. Doctors then call the disease treatment-refractory. For those affected, this means persistent pain, restricted mobility and a substantial impact on quality of life.

AAVmediated FGF21 gene therapy promotes health span extension by wholebody tissuespecific adaptations

Bosch and colleagues described that one-time AAV-FGF21 gene therapy in aged mice induced whole-body tissue-specific adaptations, including improved metabolic and mitochondrial function, restored proteostasis, and reduced adiposity, inflammation, fibrosis, and amyloidosis, thereby maintaining systemic cell fitness, preventing multi-organ age-related pathology, and prolonging health span.

Can AI Help Detect Disease Before Your Pet Gets Sick? | Dr. Ragen McGowan — Nestlé Purina

Can AI tell how your pet feels? Dr. Ragen McGowan, Ph.D. — Director of Global Digital & AI Product Development, Nestlé Purina North America.


What if your dog or cat could tell you how they’re feeling?

Today, artificial intelligence may be giving us a new way to listen.

By continuously monitoring things like activity, eating, sleep, elimination and other behaviors, AI can begin to establish what’s normal for an individual animal — and potentially detect subtle changes that humans would never notice.

Dr. Ragen McGowan, Ph.D. is Director of Global Digital & AI Product Development at Nestlé Purina (https://www.purina.com/pet-experts/rm…

AI designs new antibodies that pass blinded laboratory tests

Researchers affiliated with UTHealth Houston, competing under the team name Novamab AI, placed among the top five teams in the international AIntibody Challenge, a blinded, prospective benchmark published in Nature Biotechnology.

The study, “A blinded, prospective benchmark of in-silico antibody discovery anchored to experimental affinity and developability,” evaluates artificial intelligence platforms for therapeutic antibody design through laboratory synthesis and experimental characterization.

Unlike retrospective computational benchmarks that evaluate models against historical data sets, the AIntibody Challenge required participating teams to design entirely new antibody sequences. The designs were independently synthesized and experimentally evaluated for binding affinity and developability—key physical and chemical traits required for clinical drug candidates.

Hyperdoped silicon photodiode advances short-wave infrared detection at room temperature

Detecting short-wave infrared (SWIR) light, a region of the electromagnetic spectrum just beyond the light visible to the human eye, could be advantageous for many real-world applications. For instance, it could enable more advanced systems for capturing images at night, as well as sophisticated medical imaging, environmental monitoring and industrial inspection technologies.

Despite their potential, most SWIR detection devices developed so far are based on expensive semiconducting materials that are often difficult to integrate with existing electronic hardware. This is because silicon, the most widely used semiconductor in the electronics industry, cannot absorb SWIR photons due to its wide band gap.

Researchers at Complutense University of Madrid have developed a silicon photodiode that can efficiently absorb SWIR light and is compatible with current electronics manufacturing processes. The new device, introduced in a paper published in Physical Review Letters, is based on silicon doped with a high concentration of tellurium (Te) atoms.

Scientists Reveal How Cells Tame One of Biology’s Most Dangerous Metals

Polyamines may protect cells from toxic iron buildup by keeping reactive iron under control.

Iron keeps cells alive, but when too much of it remains chemically reactive, the same metal can become destructive. Excess free iron can drive reactions that damage DNA, proteins, and cell membranes, creating a problem cells must constantly control.

Whitehead Institute Member Ankur Jain, former postdoc Whitney Henry, and graduate student Pushkal Sharma have identified an unexpected part of that protective system: small molecules known as polyamines.

Scientists Find a Clue to Making Brain Stimulation More Reliable

The brain’s activity immediately before stimulation may help predict its response and improve the consistency of neuromodulation.

The same brain stimulation can produce very different responses depending on when it is delivered.

A study published in Brain Stimulation, using detailed brain recordings hosted by EBRAINS, suggests that the brain’s activity immediately before stimulation can explain much of this variation and may eventually help make neuromodulation therapies more dependable.

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