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What honey bee brain chemistry tells us about human learning

A multi-institutional team of researchers led by Virginia Tech’s Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict how quickly individual honey bees learn new associations, offering important insights into the biological basis of learning and decision-making. The study, published in Science Advances, found that the balance between the neurotransmitters octopamine and tyramine can predict whether a bee will learn quickly, slowly, or not at all, as they associate an odor with a reward.

Because the same ancient brain chemicals that guide learning in bees also shape attention and learning in people, the findings may help scientists better understand why individual humans learn at different speeds—and how those processes may go awry in a variety of brain disorders.

Specific patterns of brain chemical activity appear before learning begins and again when a learned behavior first emerges, signaling how quickly an individual bee will learn. The research can help explain how chemicals in the brain drive attention and reinforce learning, with implications for fundamental biology, medicine, and agriculture.

Common Sweetener May Damage Critical Brain Barrier, Risking Stroke

Found in everything from protein bars to energy drinks, erythritol has long been considered a safe alternative to sugar.

But research suggests this widely used sweetener may be quietly undermining one of the body’s most crucial protective barriers – with potentially serious consequences for heart health and stroke risk.

A study from the University of Colorado suggests erythritol may damage cells in the blood-brain barrier, the brain’s security system that keeps out harmful substances while letting in nutrients.

JUST RECORDED: Elon Musk Announces MAJOR Company Shakeup

Elon Musk Announces MAJOR Company Changes as XAI/SpaceX ## Elon Musk is announcing significant changes and advancements across his companies, primarily focused on developing and integrating artificial intelligence (AI) to drive innovation, productivity, and growth ## ## Questions to inspire discussion.

Product Development & Market Position.

🚀 Q: How fast did xAI achieve market leadership compared to competitors?

A: xAI reached number one in voice, image, video generation, and forecasting with the Grok 4.20 model in just 2.5 years, outpacing competitors who are 5–20 years old with larger teams and more resources.

📱 Q: What scale did xAI’s everything app reach in one year?

A: In one year, xAI went from nothing to 2M Teslas using Grok, deployed a Grok voice agent API, and built an everything app handling legal questions, slide decks, and puzzles.

Cell Type-Specific Contributions of UBE3A to Angelman Syndrome Behavioral Phenotypes

ENeuro: Ringelberg et al. identify a key role for excitatory neuron loss of UBE3A in motor, innate, and sleep behavioral phenotypes of Angelman syndrome model mice.

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AS is a neurodevelopmental disorder with no disease-modifying treatment. However, clinical trials are currently underway using antisense oligonucleotides to unsilence the dormant paternal UBE3A allele, thereby normalizing UBE3A levels (Ionis: NCT05127226; Ultragenyx: NCT04259281). While this approach holds exciting promise and shows efficacy in mouse models (Meng et al., 2015; Milazzo et al., 2021), there is currently scant information regarding the key cell types or brain regions that require UBE3A reinstatement to mitigate core symptoms of AS. This holds particular importance, as effective biodistribution is a key concern in genetic therapies for CNS disorders (Roberts et al., 2020; Jafar-Nejad et al., 2021; Ling et al., 2023), and suboptimal targeting of necessary cell classes could hamper success. Moreover, mouse models of AS require early postnatal Ube3a reinstatement to achieve optimal phenotypic recovery (Silva-Santos et al., 2015; Sonzogni et al., 2020); early intervention could be difficult to achieve in the patient population without a corresponding early diagnosis, meaning many AS individuals are likely beyond the critical window to maximally benefit from UBE3A reinstatement-based therapies. Therefore, additional work is needed to better understand how loss of UBE3A leads to symptoms, as these insights will aid both in understanding the cell types that must be targeted for optimal genetic interventions and in developing alternative therapeutic options.

Our laboratory’s previous work identified an outsized role of GABAergic loss of UBE3A in hyperexcitability phenotypes. GABAergic loss of UBE3A drives increased delta power on cortical EEG (Judson et al., 2016), a phenotype that correlates with the severity of a range of symptoms in AS individuals (Hipp et al., 2021; Ostrowski et al., 2021). Further, mice with Ube3a deleted from GABAergic neurons show decreased threshold to chemically and acoustically driven seizures, and they also exhibit spontaneous behavioral seizures, a phenotype not observed in AS model mice on a C57BL/6J background (Judson et al., 2016; Gu et al., 2019). These data forewarn that UBE3A reinstatement in a manner biased to glutamatergic neurons could potentially worsen epilepsy-related symptoms and highlight the importance of studying the neuronal populations regulating other behaviors.

Based on the exaggerated role of GABAergic neurons in AS seizure phenotypes, we predicted that GABAergic deletion of Ube3a would underlie a broad range of behavioral phenotypes in AS mice. In the present study, we instead found a larger role of Ube3a deletion from glutamatergic neurons in motor coordination, measured by rotarod and open field behavior, and innate species-specific behaviors such as marble burying. Furthermore, glutamatergic loss of UBE3A appears to mediate alterations in sleep patterning and induces some sleep fragmentation, while UBE3A loss from GABAergic neurons only caused fragmented sleep. Interestingly, glutamatergic reinstatement of Ube3a also rescued the decreased REM sleep observed in AS mice, as estimated by the PiezoSleep system. While this study identified some roles of GABAergic neurons in nest building behavior and sleep fragmentation, our data largely suggest a divergence of the neural circuitry underlying the motor, innate behavior, and sleep phenotypes of AS mice from the circuitry responsible for seizure susceptibility and cortical EEG patterns.

Abstract: A new contributor to cardiac allograft vasculopathy (CAV)…

Emmanuel Zorn & team discover plasma cells in human cardiac allografts with vasculopathy target bilirubin, revealing local heme catabolism:

The image shows immunofluorescence staining for bilirubin (green) and a-smooth muscle cell actin (red) of cardiac tissue with CAV.


1Columbia University Irving Medical Center, New York, New York, USA.

2Institute of Anatomy and Cell Biology, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.

3Kidney Transplant Unit, Nephrology Department, Vall d’Hebron University Hospital, Barcelona, Spain.

Engineering chimeric antigen receptor CD4 T cells for Alzheimer’s disease

Recent advancements in immunotherapy have led to the first successful application of chimeric antigen receptor (CAR) T-cell therapy in treating neurodegenerative diseases, specifically Alzheimer’s disease. In a study conducted by researchers at Washington University in St. Louis and the Weizmann Institute of Science, T-cells were genetically engineered to recognize and target toxic beta-amyloid plaques. When tested on mouse models, three injections of these modified cells resulted in a significant reduction of protein aggregates within just ten days of the final administration. Beyond plaque clearance, the treatment successfully mitigated neuroinflammation, as evidenced by decreased microglial and astrocytic activity. These findings demonstrate the potential of CAR-T technology to rapidly clear pathological protein deposits and restore nervous tissue function, offering a promising new frontier for the treatment of Alzheimer’s and other proteinopathies.


Alzheimer’s disease (AD) is the prevailing cause of age-associated dementia worldwide. Current standard of care relies on antibody-based immunotherapy. However, antibody-based approaches carry risks for patients, and their effects on cognition are marginal. Increasing evidence suggests that T cells contribute to AD onset and progression. Unlike the cytotoxic effects of CD8+ cells, CD4+ T cells capable of regulating inflammation show promise in reducing pathology and improving cognitive outcomes in mouse models of AD and in aging. Here, we sought to exploit the beneficial properties of CD4+ T cells while circumventing the need for TCR and peptide-MHC antigen discovery, thereby providing a potential universal therapeutic approach. To achieve this, we engineered CD4+ T cells with chimeric antigen receptors (CARs) targeting fibrillar forms of aggregated amyloid-β. Our findings demonstrate that optimized CAR-T cells can alter amyloid deposition in the dura and reduce parenchymal pathology in the brain. Furthermore, we observed that CAR-T treatment promotes the expansion and recruitment of endogenous CD4+ T cells into the brain parenchyma and leptomeninges. In summary, we established the feasibility of amyloid plaque-specific CAR-T cells as a potential therapeutic avenue for AD. These findings highlight the potential of CD4+ CAR-T therapy not only to modify amyloid pathology but also to reshape the immune landscape of the CNS, paving the way for future development of cellular immunotherapies for neurodegenerative disease.

Keywords: Alzheimer’s disease; CAR T cells; T cell; chimeric antigen receptors; neurodegeneration.

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A giant tortoise, extinct for over a century, has reappeared alive after several failed expeditions, reviving a historic plan to save the species, a symbol of evolution

Genetic sleuthing has now confirmed that she belongs to the Fernandina Island Galápagos giant tortoise, Chelonoidis phantasticus, a lineage thought lost since a lone male was collected in 1906.

Only two individuals of this lineage have ever been found, the museum specimen from the early twentieth century and Fernanda. To make sure she was not a stray tortoise washed in from another island, researchers sequenced her entire genome and compared it with DNA extracted from the century-old male and from all other living Galápagos tortoise species.

The analyses showed that Fernanda and the museum male form their own distinct branch, separate from the rest of the archipelago’s giants.

Why the Future of Intelligence Is Already Here | Alex Wissner-Gross | TEDxBoston

The future of intelligence is rapidly evolving with AI advancements, poised to transform numerous aspects of life, work, and existence, with exponential growth and sweeping changes expected in the near future.

## Questions to inspire discussion.

Strategic Investment & Career Focus.

🎯 Q: Which companies should I prioritize for investment or career opportunities in the AI era?

A: Focus on companies with the strongest AI models and those advancing energy abundance, as these will have the largest marginal impact on enabling the innermost loop of robots building fabs, chips, and AI data centers to accelerate exponentially.

Understanding Market Dynamics.

Association of a Cancer Diagnosis and Mortality After Ischemic and Hemorrhagic Stroke and Myocardial Infarction

This population-based study showed that patients with cancer had higher risks of mortality after stroke and myocardial infarction, with substantial variations by cancer type.


Background and Objectives.

Large-Scale Proteomics Reveals New Candidate Biomarkers for Late-Onset Preeclampsia

RESEARCH ARTICLE: large-scale proteomics reveals new candidate biomarkers for late-onset preeclampsia.


BACKGROUND: Preeclampsia is classified as either a more severe early onset or a more prevalent late-onset form. Lower PlGF (placental growth factor) and increased sFlt-1 (fms-like tyrosine kinase-1) in maternal circulation are promising biomarkers, yet they lack specificity for preeclampsia. METHODS: We quantified ≈7000 proteins in 673 samples collected from 89 patients with late-onset preeclampsia and 91 controls at T1 (15–22), T2 (22–30), and T3 (30–42) weeks. Elastic net and random forest models were fitted and evaluated by cross-validation. Differential abundance analysis followed by functional profiling, was used to identify and interpret protein changes. RESULTS: An increase in protein differential abundance in late-onset preeclampsia was observed with advancing gestation, reaching 806 proteins at T3 related to angiogenesis, cell adhesion, and extracellular matrix remodeling.

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