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Blood–Brain Barrier Permeability Dynamics and Mediation of Triglyceride–Glucose Index on Acute Ischemic Stroke Outcomes

In acute ischemic stroke, insulin resistance worsens outcomes by increasing blood-brain barrier permeability in the ischemic core.


Acute large‐vessel occlusion of head and neck severely affect quality of life. One of the critical pathological events associated with prognosis of acute ischemic stroke (AIS) is the disruption of the blood–brain barrier (BBB), a highly selective barrier maintaining the brain’s microenvironment.1 Ischemia causes BBB dysfunction,2 exacerbated by peripheral immune cell infiltration,3 leading to increased parenchymal injury, hemorrhage,4 and edema.4, 5 Therefore, accurately determining the evolution and severity of BBB permeability are crucial for prognostic evaluation in patients with AIS.

Research on BBB disruption in patients with AIS primarily focuses on pathological mechanisms and imaging evaluations. Numerous studies use animal models and cell culture experiments to elucidate the physiological and molecular bases of BBB disruption.2, 5, 6, 7, 8 Additionally, imaging techniques like magnetic resonance imaging are widely used to assess evolution of BBB permeability1, 9, 10, 11, 12 and demonstrate correlations between BBB damage, cerebral edema, hemorrhagic transformation, and poor prognosis. Despite significant advances, several issues remain unresolved. First, differences between animal models and human disease limit clinical applicability. Second, while magnetic resonance imaging is widely used to provide quantitative data on BBB disruption, they still face the limitations of being time consuming and inconvenient in the clinical environment. However, BBB disruption in patients with AIS based on computed tomography perfusion (CTP) needs further study.

Insulin resistance (IR) is linked to adverse cardiovascular13, 14 and metabolic outcomes.15, 16 Therefore, identifying patients with IR aids early risk stratification and management. The triglyceride–glucose (TyG) index, which combines fasting triglyceride and glucose levels, has been proposed as a marker of IR. Currently, research on the TyG index primarily focuses on type 2 diabetes,17 obesity,18 and cardiovascular diseases.19 Recent studies have found that an elevated TyG index is associated with higher stroke recurrence,19, 20 functional deterioration,21, 22 and death.23 However, whether the underlying mechanisms involved in the association of IR with stroke outcomes have not been fully understood. IR exacerbated vascular inflammation and endothelial dysfunction,24, 25, 26 which were critical contributors to BBB disruption in AIS. Previous studies have shown that metabolic dysregulation, including hypertriglyceridemia27 and hyperglycemia,28 aggravates BBB permeability by triggering oxidative stress and inflammatory pathways.29, 30 Specifically, IR leads to the generation of reactive oxygen species and the activation of NADPH oxidase, which contribute to oxidative stress and endothelial damage.30, 31 Inflammatory cytokines such as tumor necrosis factor‐α, interleukin‐1β, and interleukin‐6 are also elevated in the insulin‐resistant state, activating nuclear factor‐κB and Janus kinase signaling pathways that further compromise endothelial tight junction proteins such as occludin, claudin‐5, and zonula occludens‐1, crucial for BBB integrity.29, 32 These mechanisms are known to increase BBB permeability, facilitating the entry of harmful substances into the brain and contributing to worsened stroke outcomes. These findings indicated that the relationship between IR and stroke outcomes may be mediated by increased BBB permeability. However, the TyG index’s relationship with BBB disruption and outcomes in patients with AIS is not well studied.

Cardiovascular risk score identifies risk for ocular disease

The Pooled Cohort Equations (PCE) cardiovascular risk score stratifies risk for multiple ocular diseases, according to a study published online in Ophthalmology.

Deyu Sun, Ph.D., from the David Geffen School of Medicine at the University of California Los Angeles, and colleagues conducted a historical prospective cohort study using electronic health record data from the “All of Us” Research Program to examine whether the PCE cardiovascular risk score is associated with future age-related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), retinal vein occlusion (RVO), and hypertensive retinopathy (HTR).

A total of 35,909 adults aged 40 to 79 years with complete variables for PCE calculation within a six-month period were included in the study. Individual-level PCE score was classified into four risk categories.

Potential biomarker linked to multiple sclerosis progression and brain inflammation

A new University of Toronto-led study has discovered a possible biomarker linked to multiple sclerosis (MS) disease progression that could help identify patients most likely to benefit from new drugs.

The findings were published today in Nature Immunology and validated in both mouse models and humans.

“We think we have uncovered a potential biomarker that signals a patient is experiencing so-called ‘compartmentalized inflammation’ in the central nervous system, a phenomenon which is strongly linked to MS progression,” says Jen Gommerman, a professor and chair of immunology at U of T’s Temerty Faculty of Medicine. “It’s been really hard to know who is progressing and who isn’t.”

A mother’s circadian rhythm may predict her child’s vulnerability to bacterial infection

In laboratory models, researchers at The University of Texas MD Anderson Cancer Center discovered that a mother’s circadian rhythms, or internal body clock, can influence the immune system states of her offspring, which can accurately predict the risk of bacterial infection.

These findings offer novel insights into non-genetic factors shaping immune defenses and provide a framework to study circadian rhythms as a possible reason why some patients might be more vulnerable to getting infections during disease treatment. The study, published in Science Advances, was led by Alejandro Aballay, Ph.D., professor of Genetics and dean of the UTHealth Houston Graduate School of Biomedical Sciences.

“These findings reveal a circadian mechanism that can create significant differences in infection outcomes even when genetics and environment are similar,” Aballay said. “This circadian control may help explain why patients with comparable risk profiles often experience very different responses to infection.”

Deciphering the MYCN-driven metabolic microenvironment of neuroblastoma

Metabolic control of antitumor Immunity in neuroblastoma👇

✅Distinct metabolic TMEs in MNA vs non-MNA tumors Neuroblastoma (NB) tumors display markedly different tumor microenvironments depending on MYCN amplification (MNA) status. MYCN acts as a key driver of metabolic remodeling, reshaping how nutrients and metabolites are distributed within the TME.

✅MYCN-amplified NB: immunosuppressive metabolism In MNA neuroblastoma, tumor cells aggressively consume shared metabolites such as glucose, glutamine, methionine, cysteine, and lipids. This metabolic competition deprives infiltrating T cells of essential nutrients, promoting T cell exhaustion and dysfunction. In parallel, MNA tumor cells release antagonistic metabolites, including lactate, adenosine, and cholesterol, which further suppress TCR signaling, proliferation, and effector functions.

✅T cell exhaustion and impaired tumor killing Within the MNA TME, T cells exhibit exhausted phenotypes characterized by impaired proliferation, altered STAT5 signaling, and reduced cytotoxic activity. This metabolic and signaling imbalance leads to ineffective immune-mediated tumor killing.

✅Non-MNA NB: permissive immune landscape In contrast, non-MNA neuroblastomas do not impose the same metabolic constraints. Nutrient availability is better preserved, allowing cytotoxic T cells to infiltrate tumors, maintain effector functions, and induce effective tumor cell death.

✅Biological and therapeutic implications These findings highlight metabolism as a central regulator of antitumor immunity in neuroblastoma. Targeting MYCN-driven metabolic pathways may help restore T cell function and improve the efficacy of immunotherapies, particularly in MYCN-amplified disease.


5 Sci-Fi Fantasies That Could Soon Become Reality

Five sci-fi technologies becoming real today, from BCIs to space elevators.

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Written, Produced & Narrated by: Isaac Arthur.
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Chapters.
0:00 Intro.
1:52 Brain-Computer Interfaces (BCI)
6:26 Dream Recording & Memory Replay.
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Who Wants to Enhance Their Cognitive Abilities? Potential Predictors of the Acceptance of Cognitive Enhancement

In the 21st century, new powerful technologies, such as different artificial intelligence (AI) agents, have become omnipresent and the center of public debate. With the increasing fear of AI agents replacing humans, there are discussions about whether individuals should strive to enhance themselves. For instance, the philosophical movement Transhumanism proposes the broad enhancement of human characteristics such as cognitive abilities, personality, and moral values (e.g., ; ). This enhancement should help humans to overcome their natural limitations and to keep up with powerful technologies that are increasingly present in today’s world (see ). In the present article, we focus on one of the most frequently discussed forms of enhancement—the enhancement of human cognitive abilities.

Not only in science but also among the general population, cognitive enhancement, such as increasing one’s intelligence or working memory capacity, has been a frequently debated topic for many years (see ). Thus, a lot of psychological and neuroscientific research investigated different methods to increase cognitive abilities, but—so far—effective methods for cognitive enhancement are lacking (). Nevertheless, multiple different (and partly new) technologies that promise an enhancement of cognition are available to the general public. Transhumanists especially promote the application of brain stimulation techniques, smart drugs, or gene editing for cognitive enhancement (e.g., ). Importantly, only little is known about the characteristics of individuals who would use such enhancement methods to improve their cognition. Thus, in the present study, we investigated different predictors of the acceptance of multiple widely-discussed enhancement methods. More specifically, we tested whether individuals’ psychometrically measured intelligence, self-estimated intelligence, implicit theories about intelligence, personality (Big Five and Dark Triad traits), and specific interests (science-fiction hobbyism) as well as values (purity norms) predict their acceptance of cognitive enhancement (i.e., whether they would use such methods to enhance their cognition).

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