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Fyn kinase: a key mechanistic regulator and therapeutic target in tauopathy and neurodegenerative diseases

Synaptic dysfunction and intracellular accumulation of pathological tau are convergent hallmarks of Alzheimer’s disease (AD) and related tauopathies, yet the molecular mechanisms coupling these events to widespread neurodegeneration remain incompletely understood. The Src family kinase Fyn has emerged as a critical signaling hub that integrates upstream pathogenic triggers, such as amyloid-β (Aβ), with downstream neurotoxic cascades. Here, we review the multifaceted roles of Fyn in orchestrating synaptic failure, highlighting how Fyn recruitment by mislocalized tau promotes N-methyl-D-aspartate receptor hyperactivation and calcium dysregulation. We examine the biophysical basis of Fyn–tau interactions, particularly the role of liquid–liquid phase separation in stabilizing toxic signaling complexes. We also discuss how aberrant Fyn signaling in microglia and astrocytes amplifies neuroinflammation. Finally, we evaluate the potential of Fyn as a therapeutic target, emphasizing the necessity of strategies that selectively uncouple pathological signaling from physiological functions to effectively halt disease progression.

Prevalence and characteristics of patients with coronary heart disease and blood pressure below target: the INTERASPIRE study

Background Despite treatment, many hypertensive patients with coronary heart disease (CHD) have blood pressure (BP) that remains above guideline targets. However, less is known about patients in whom on-treatment BP is below target and major European guidelines differ substantially in their recommendations for such patients. Specifically, 2023 European Society of Hypertension (ESH) guidelines provide a Class 3 recommendation to proactively avoid BP below target whereas 2024 European Society of Cardiology (ESC) guidelines do not.

Methods Between 2020 and 2023, adults hospitalised in the previous 6–24 months with incident or recurrent CHD were sampled in 14 countries from all six WHO regions and invited for a standardised interview and examination as part of the International Action on Secondary and Primary Prevention by Intervention to Reduce Events (INTERASPIRE) study. We measured seated BP twice using an automated oscillometric device after 5 min of rest. We defined participants as having BP above target (BP ≥130/80 mm Hg), at target (BP 120–129/70–79 mm Hg) or below target (120÷70 mm Hg); according to both 2023 ESH and 2024 ESC guidelines.

Results Among 4,548 participants (21.1% female), the mean age (±SD) was 60.0 (±10.3) years. At a median (IQR) of 1.05 (0.76–1.45) years after index CHD hospitalisation, 10.3% of patients had BP readings within the target range of 120–129/70–79 mm Hg, with 53.9% above target and 35.7% below target. Patients with below-target BP were more likely to have heart failure (13.6% vs 10.0%, p=0.041) and estimated glomerular filtration rate 60 mL/min/1.73 m² (18.9% vs 10.7%, p0.001), when compared with those at target. They were also statistically more likely to be severely frail (p=0.030). The median number of BP-lowering medications did not differ significantly between the 3 BP target groups. Cumulative dosing of BP-lowering medications in the below-target group was also not more intensive than that in the at-target group.

Nanoparticle injection reprograms NK immune cells to fight cancer and autoimmune disorders

MIT engineers have developed a new way to program natural killer (NK) immune cells to target cancerous T cells or T cells that have become autoreactive, leading to diseases such as lymphoma and autoimmune hepatitis.

Using their new technique, the researchers can reprogram NK cells to target diseased T cells without ever removing the NK cells from the patient’s body. Instead, they use lipid nanoparticles to deliver messenger RNA directly to NK cells. These mRNA molecules encode proteins that allow the NK cells to seek and destroy the dysfunctional T cells.

Known as CAR NK cells, these cells could be deployed against a variety of diseases. The MIT team’s new approach could bypass one of the major obstacles to using these cells, which is the time and expense of manufacturing them outside the body.

A high-resolution protein-RNA binding atlas for structure-aware interaction prediction and post-transcriptional regulatory modeling

The Goodarzi lab is on fire!

RNA-binding proteins (RBPs) recognize RNA by sequence and shape, but which matters varies by site. Introducing Pythia, an interpretable AI model trained on a new high-resolution atlas of 67 RBPs—a collaboration between Genophoria, Chan Zuckerberg Biohub, UCSF, Calico, & Vector Institute.

What if an AI could look at a strand of RNA, predict how it folds in 3D, and instantly tell you which proteins will attach to it? A groundbreaking new dataset and neural network are doing just that—bringing high-resolution clarity to the invisible mechanics of gene regulation.

Decoding how proteins shape our RNA: a new atlas and AI tool for cellular control.

Inside our cells, DNA serves as the master blueprint, but RNA acts as the working copy that delivers instructions to build proteins. Once RNA is made, it is heavily managed by a special class of molecules called RNA-binding proteins (RBPs). These proteins dictate how long an RNA molecule lasts, where it travels inside the cell, and how efficiently it is translated into functional proteins.

Despite their importance, scientists have lacked high-resolution, uniform maps showing exactly where these proteins bind across the entire human genome.

To bridge this gap, a team of researchers has developed a powerful suite of new experimental and computational tools to decode how proteins and RNA interact.

Key Breakthroughs of the Study.

Built to solve your hardest problems

It’s official: Gemini 4 Argon is no longer just for early preview—it’s rolling out globally today! 🌍🚀

🔥 Just when you thought the first drop was massive, Google just flipped the switch on a massive update: Gemini 4 Argon is now globally available for everyone.

While the first announcement was all about the initial preview, today’s official update means developers, enterprises, and everyday users can actually get their hands on it right now. It is rolling out globally through the API in AI Studio and the Gemini platform, for Google AI Ultra subscribers in Google Antigravity, and for Google AI Ultra/Pro users inside the Gemini app and AI Mode in Search!

Google’s benchmarks show it ranking #1 on the Vals Index for high-stakes economic sectors like finance, coding, legal, and tax work. Real-world teams are already using it to autonomously refactor massive legacy codebases (like cutting Chrome’s browser feature separation down from months to weeks) and slash memory prep times by 40%.

Even better? It launches at an aggressive introductory price point for devs ($2 per million input tokens, $10 per million output tokens, with cached input tokens at 95% off).

The full ecosystem just unlocked.

#Gemini4Argon #GoogleAI #GoogleDeepMind #artificialintelligence

Tie1 cleavage is dispensable for angiogenic responses but critical for inflammatory vascular responses

European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

2German Cancer Research Center, Heidelberg, Germany.

3Helmholtz Institute for Translational AngioCardioScience, Max Delbrück Center, Heidelberg University, Heidelberg, Germany.

AI tool reveals what attracts immune cells to tumors and what keeps them away

Researchers at The University of Texas MD Anderson Cancer Center and collaborating institutions in Texas developed an artificial intelligence (AI) model that helps explain how immune cells find their way to specific locations in the body and why they avoid others. The findings could help scientists better understand cancer, autoimmune diseases and treatment response.

The study, published in Nature Biomedical Engineering, was co-led by Tao Wang, Ph.D., associate professor of bioinformatics and computational biology, and Linghua Wang, M.D., Ph.D., professor of genomic medicine, executive director and head of the Center for Cellular Language Intelligence, associate member of the James P. Allison Institute and focus area co-lead with the Institute for Data Science in Oncology.

“While spatial technologies can show where immune cells are located, this new tool helps us investigate why they gather in certain areas and how they reach and recognize tumor cells,” Tao Wang said. “By identifying local signals that attract immune cells as well as potential barriers that may keep them out, we may be able to identify biomarkers and therapeutic targets that could be used to improve patient outcomes.”

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