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Despite advances in understanding the mechanisms, risk factors and treatment strategies for Alzheimer's disease (AD), no approved therapies exist to prevent or delay onset in at-risk individuals or those with elevated biomarkers who do not yet show symptoms. Multiple candidate interventions are now being evaluated in clinical trials in these settings, raising key questions around which populations are most appropriate and what criteria should guide regulatory and clinical decision-making. Data...

The full impact of APOE4 (apolipoprotein E4), the strongest genetic risk factor for Alzheimer's disease (AD), on neuronal and network function remains unclear, particularly during early preclinical stages of disease. Here we show that young APOE4 knockin (E4-KI) mice exhibit hippocampal region-specific network hyperexcitability that predicts later cognitive deficits. This early phenotype arises from cell-type-specific subpopulations of smaller, hyperexcitable neurons and is eliminated by...

Stroke remains a leading cause of mortality and long-term disability worldwide, and secondary injury mechanisms-particularly neuroinflammation-continue to limit functional recovery despite advances in reperfusion therapies. Post-stroke neuroinflammation is not a static or uniformly deleterious process but a temporally evolving and spatially heterogeneous continuum shaped by cellular transcriptional plasticity, metabolic reprogramming, and systemic modifiers such as aging and comorbidities....

Chronic neuroinflammation is a hallmark of neurodegenerative and cerebrovascular diseases and is largely driven by dysfunctional activation of microglia and astrocytes. Recent advances in single-cell transcriptomics and metabolic profiling have revealed the remarkable heterogeneity and plasticity of these glial cells, highlighting their dual roles in neuroprotection and neurotoxicity. Upon activation, microglia adopt pro-inflammatory phenotypes and undergo metabolic reprogramming characterized...

CONCLUSION: These findings reveal a novel pulse-derived harmonic signature as a biomarker for prefrailty, indicating that subtle arterial functional alterations detectable via spectral analysis are associated with early physical vulnerability and may help bridge vascular pathology with geriatric decline. The discriminative performance (AUC = 0.70) is competitive with existing tools, while the 1-minute, noninvasive protocol establishes a favorable balance between accuracy and clinical...

CONCLUSIONS: Our study identifies CISD2 and MST1 as high-confidence proteins implicated in frailty pathogenesis through brain and plasma mechanisms, respectively. These findings provide crucial molecular insights into aging and highlight promising targets for therapeutic intervention to mitigate frailty.

CONCLUSIONS: Blood neurodegeneration biomarkers show complex associations with cognition that involve direct and physical performance-related pathways. Our findings suggest that physical performance may serve as an early marker and therapeutic target in neurodegenerative aging, particularly in vulnerable populations, though longitudinal studies are needed to establish temporal relationships.

Aging is a complex, multifactorial process, influencing disease risk and overall health. While chronological age (CA) is widely used in clinical practice, it fails to capture individual aging trajectories. Current approaches to estimate biological age (BA) often focus on single organs or predefined clinical biomarkers, limiting comprehensive assessment. We introduce a novel, purely imaging-driven deep learning framework for organ-specific BA estimation across seven organ systems. Our...

Psilocybin extends lifespan in aged mice, and this has prompted extensive media speculation about possible human longevity benefits. We examined mortality among prominent psychedelic personalities, researchers, and advocates who claimed psychedelic use (n = 11) and compared them with cancer (n = 12) and aging researchers (n = 5). All groups exceeded population life expectancy, reflecting the effect of socioeconomic advantage on lifespan, but psychedelic personalities did not outlive cancer and...

Melanocyte stem cells (McSCs) are a crucial melanocyte reservoir within the hair follicle niche. This review provides an overview of the processes for McSC quiescence and activation. Because McSCs closely interact with hair follicle stem cells, we have focused on this interaction. Given the high prevalence of hair graying, the McSC system serves as a model for cellular aging. Here, we highlight current research on the mechanisms of hair graying.

Aging and chronic diseases intersect at the level of biological aging mechanisms, where age-related molecular and cellular changes contribute to the development of diverse pathologies. Biomarkers of biological aging could help predict and track the progression of chronic diseases and evaluate the effectiveness of interventions aimed at promoting healthy aging. Here, we aimed to identify biomarkers reflecting biological aging by analyzing protein signatures shared between older age and elevated...

The physical and social exposome affects human aging, and brain clocks may track its effects. However, most studies neglect multidomain exposures (physical, social and political) across diverse settings globally and their associations with brain aging. In this study, we characterized the associations between 73 country-level physical and social exposomal factors and multimodal brain age in 18,701 participants from 34 countries (healthy individuals and those with Alzheimer's disease,...

Aging is a complex biological and societal challenge, where modest advances can yield substantial clinical and economic benefits. While model organisms have uncovered key mechanisms of aging, their physiological relevance to humans remains limited. Astronauts offer a uniquely informative human model: despite being healthy and highly selected, they exhibit many hallmarks of aging and experience comparable declines in cardiovascular, musculoskeletal, cognitive and immune function-often on...

The full impact of APOE4 (apolipoprotein E4), the strongest genetic risk factor for Alzheimer's disease (AD), on neuronal and network function remains unclear, particularly during early preclinical stages of disease. Here we show that young APOE4 knockin (E4-KI) mice exhibit hippocampal region-specific network hyperexcitability that predicts later cognitive deficits. This early phenotype arises from cell-type-specific subpopulations of smaller, hyperexcitable neurons and is eliminated by...

Suppression of insulin-like growth factor-1 (IGF-1) signaling extends mammalian life span and protects against a range of age-related diseases. Unexpectedly, we found that reduced IGF-1 signaling fails to extend the life span of mitochondrial mutator mice. Most of the longevity pathways that are normally initiated by IGF-1 suppression were either blocked or blunted in the mutator mice. These observations suggest that the prolongevity effects of IGF-1 suppression critically depend on the...

Postoperative delirium (POD) accelerates the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) in elderly patients. Microglial metabolic reprogramming, a pivotal aspect of the immune-inflammatory response, modulates microglia-neuron interactions and postoperative cognitive function through microenvironmental alterations. Aberrant overexpression of RUVBL2 disrupts metabolic homeostasis, leading to stress granule (SG) aggregation and fibrosis. This study investigated the...

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Recent human genetic studies have highlighted the potential role of microglial genes and their regulatory functions in the pathogenesis of Alzheimer's disease (AD). The transcription factor PU.1 (encoded by SPI1) is expressed mainly in microglia in the central nervous system and has been reported to be a genetic risk factor for AD. However, the role of microglial SPI1 in AD etiology is still poorly understood. Here, we demonstrate that the selective deletion of Spi1 in microglia exacerbates...

Rapid advancements in single-cell RNA sequencing (scRNA-seq) technologies revealed the richness of myriad attributes encompassing cell identity. However, the complexity of the data hinders tasks focusing on a specific biological signal. To address this challenge, we introduce bioIB, a framework based on the information bottleneck method, designed to extract an interpretable compressed representation of scRNA-seq data, optimally informative with respect to a specific biological signal, such as...

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