Skip to main content

Aggregator

A new sparse Bayesian quantile neural network-based approach and its application to discover physiological sweet spots in the Canadian Longitudinal Study on Aging

2 weeks ago
Identifying physiological sweet spots (optimal ranges for homeostasis) is essential for precision medicine. However, traditional statistical methods often rely on globally linear or locally jagged models that struggle to capture the smooth, non-linear nature of biological regulation in high-dimensional data. We present the Quantile Feature Selection Network (Q‑FSNet), a neural network-based framework that integrates quantile regression, feature selection, and uncertainty estimation to identify...
Joosung Min

Illuminating proinflammatory myeloid cells with PET tracers targeting GPR84

2 weeks ago
Innate immunity mediated by myeloid cells defends against infection and injury, but when chronically activated, it drives tissue damage and neurodegeneration. Molecular imaging with positron emission tomography (PET) enables noninvasive, real-time monitoring of such processes in vivo. However, most current neuroinflammation PET tracers lack specificity for activated myeloid cells. G protein-coupled receptor 84 (GPR84) is a promising biomarker that is selectively upregulated on activated...
Mausam Kalita

Knockout of the LRRK2-counteracting RAB phosphatase PPM1H disrupts axonal autophagy and exacerbates alpha-synuclein aggregation

2 weeks ago
Parkinson disease (PD)-associated mutations in the LRRK2 gene hyperactivate LRRK2 kinase activity, leading to increased phosphorylation of a subset of RAB GTPases, which are master regulators of intracellular trafficking. In neurons, processive retrograde transport of autophagosomes is essential for autophagosome maturation and effective degradation of autophagosomal cargo in the axon. Here, we show that knockout of the LRRK2-counteracting RAB phosphatase PPM1H causes a gene-dose-dependent...
Michel Fricke

The oscillatory biology of sleep: Linkage to dementia

2 weeks ago
During wakefulness, neuromodulators operate largely independently to support behavior and cognition. By contrast, sleep reorganizes their activity into a coordinated brain rhythm. During sleep, the major neuromodulators-norepinephrine, acetylcholine, serotonin, and dopamine-exhibit synchronized fluctuations with a periodicity of ~50 seconds. These oscillations appear as recurrent bursts of fast (10 to 30 hertz) electroencephalography activity and are phase-coupled to cerebrospinal fluid flow....
Maiken Nedergaard

Supplements and Drugs Are Associated With Biological Age in a Cohort of Exceptionally Healthy Individuals

2 weeks ago
In this cross-sectional cohort we analyzed data from 4260 "health enthusiasts" who purchased at least one saliva-based DNA epigenetic test between 2020 and 2025 and completed detailed lifestyle and supplement questionnaires. A proprietary 9-CpG clock with a mean absolute error of 5.4 years served as the primary biomarker of biological age. High prevalence (71%) of supplement use in this cohort increased our power to study the effects of supplements compared to earlier studies that focused on the...
Kamil Pabis

T-cell mechanobiology: How molecular forces shape immune function

2 weeks ago
T cells are central to adaptive immunity, and continuously sense, generate, and respond to mechanical forces. Advances in mechanoimmunology show that T-cell behavior is tightly shaped by the physical properties of their environment, including stiffness, viscoelasticity, ligand arrangement, and tissue topography. T-cell activation depends not only on biochemical signals but also on forces transmitted through the T-cell receptor, coreceptors, and mechanosensitive ion channels, which converge on...
Judith Zubia-Aranburu

Identifying the factors influencing long-term care utilization by older adults in China: machine learning analysis

2 weeks ago
CONCLUSIONS: Living arrangement, social activity and residence were the most significant factors associated with the types of LTC utilization by older adults in China. Overall, enabling and predisposing factors had a greater influence than the need factors. These findings not only demonstrate the potential value of ML for LTC policy development, but also provide empirical support for the Chinese government to adopt targeted interventions that enhance LTC service accessibility and affordability.
Tengyu Wang

ChEA-KG and ChEA-KG-TS: a network-based transcription factor enrichment analysis tool with an accompanying time-series workflow

2 weeks ago
Transcription factor (TF) modules interact to regulate key biological processes and cell-state transitions in normal physiology and disease. Understanding these modules and how they evolve over time can be accomplished by constructing gene regulatory networks (GRNs). To identify context-specific TF subnetworks, we developed ChEA-KG, which generates enriched TF regulatory subnetworks for input gene sets. ChEA-KG is based on a GRN connecting 1559 human TFs via 131 181 signed and directed edges...
Anna I Byrd