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PubMed2026

Toward real-time quantification of driving risks: a systematic review and research agenda of risk field theory.

In complex traffic systems, driving risk often evolves in a continuous and progressive manner prior to crash occurrence. How to effectively represent and analyze such latent risk states remains a central challenge in traffic safety research. In recent years, risk field-based approaches have introduced spatial and spatiotemporal continuous modeling paradigms, providing new perspectives for characterizing the distribution of traffic risk and its dynamic evolution. Motivated by the rapid growth of this research area and the lack of a systematic synthesis, this paper presents a comprehensive review of studies applying risk field theory to driving safety and traffic risk analysis. Following the PRISMA guidelines, relevant literature was collected through multi-database searches and analyzed using a combination of bibliometric analysis and qualitative review. The review systematically summarizes the theoretical foundations, modeling elements, data sources, analytical methods, and application domains of risk field-related research. Particular attention is given to studies that conceptualize traffic risk as a continuous field, complemented by a broader review of traffic risk factor literature to identify key elements and analytical dimensions involved in risk field modeling. On this basis, the paper synthesizes research progress in major application areas, including traffic safety state representation, driving behavior analysis, traffic conflict assessment, and autonomous driving and human-machine cooperative systems. Differences and commonalities among existing studies are compared in terms of modeling strategies, data support, and application scenarios. Through this systematic review, the paper clarifies the main research themes and methodological trends of risk field-based studies, providing a structured framework for understanding the evolution and application of this approach and offering methodological insights for risk perception modeling and safety-oriented decision support in intelligent transportation systems (ITS).

Humans↗

PubMed2026

Acute pre-exercise oral intake of cacao polyphenols attenuates central fatigue development during sustained low-intensity ankle dorsiflexion exercise in healthy young male adults.

This double-blind, randomized, crossover study investigated whether acute cacao polyphenol (CP) ingestion attenuates neuromuscular fatigue in 19 healthy young male adults. After consuming CP or placebo, participants performed sustained isometric ankle dorsiflexion at 25% of maximal voluntary isometric contraction (MVIC) torque until task failure. Neuromuscular function (MVIC torque, voluntary activation [VA%], doublet torque) and electromyographic activity were assessed before, immediately after, and during recovery (1 and 5 min). Salivary chromogranin A and α-amylase were measured at baseline and 1 min post-task. Only VA% and chromogranin A showed significant condition × time interactions (p = 0.027-0.039). VA% significantly decreased from before to immediately after the task and 1 min post-task in both conditions (p ≤ 0.002), with significantly higher values in the CP condition than in placebo immediately after and 1 min post-task (p ≤ 0.037). Chromogranin A significantly increased from baseline to 1 min post-task in the placebo condition (p < 0.001) but not in the CP condition (p = 0.083). These findings suggest that acute CP ingestion attenuates the decline in central motor drive and autonomic stress responses following strenuous exercise, without altering performance or peripheral recovery, supporting its potential as a nutritional strategy for modulating central fatigue.

Humans↗

PubMed2025

NFATc1 drives Orai3 transcription and proteolysis by harnessing epigenome differences in the MARCH8 promoter.

Several autonomous mechanisms regulate protein expression, such as transcription, translation, post-translational modifications, and epigenetic changes. Rarely, these processes are controlled by the same molecular player with overlapping roles. Here, we reveal that transcription factor NFATc1 regulates both transcription and degradation of the Ca2+ channel Orai3 in a context-dependent manner. We demonstrate that NFATc1 drives Orai3 transcription in non-metastatic pancreatic cancer cells. In invasive and metastatic pancreatic cancer cells, NFATc1 induces Orai3 lysosomal degradation by transcriptionally enhancing MARCH8 E3-ubiquitin ligase. We show that MARCH8 physically interacts with Orai3 intracellular loop eventually resulting in its ubiquitination at the N-terminal. Mechanistically, the dichotomy in the regulation of Orai3 expression emerges from the differences in MARCH8 epigenetic landscape. We uncover that MARCH8 promoter is hyper-methylated in non-metastatic cells. Importantly, we demonstrate that MARCH8 restricts pancreatic cancer metastasis by targeting Orai3 degradation, thereby highlighting the pathophysiological importance of this signaling module. Taken together, we report a unique and clinically relevant scenario wherein the same transcription factor both enhances and curtails the expression of a target protein in cancer.

Humans↗

PubMed2026

Engineering controllable CAR T-cell therapies: from binary safety switches to programmable immunity.

Chimeric antigen receptor (CAR) T-cell therapy has revolutionised cancer gene therapy, yet its expansion into solid tumours is hindered by a critical vulnerability: the autonomous, "always-on" nature of conventional CAR constructs. This unregulated activity drives severe toxicities, including cytokine release syndrome (CRS) and on-target/off-tumour damage, while constitutive signalling in hostile tumour microenvironments (TMEs) accelerates T-cell exhaustion. Early safety strategies relied on irreversible genetic "kill switches," which sacrifice the therapeutic cell population entirely. This review traces the conceptual evolution of CAR T-cell controllability from binary elimination towards platforms enabling graded, reversible, and spatiotemporally precise regulation. We examine the transition from calibrated signalling architectures and small-molecule-regulated split-CARs to advanced optogenetic and sonogenetic controllers, detailing the biophysics of photoreceptor pairs and their preclinical efficacy. Furthermore, we explore complementary architectures, including autonomous logic-gated receptors. Finally, we propose that the optimal next-generation CAR T product will integrate calibrated signalling, external control, and context-dependent armouring to achieve truly programmable, safe, and durable cellular immunotherapy.

Humans↗

PubMed2026

Shielding the First 24 Postnatal Months of Life: A Proposal for a Prospective Cohort Study of Early-Life Electromagnetic Exposure and Autism Risk.

BACKGROUND: Autism Spectrum Disorder (ASD) involves Mirror Neuron System (MNS) dysfunction, driving core social and imitative impairments. Systemic physiological alterations such as autonomic dysregulation, mitochondrial dysfunction and neuroinflammation are known to impair synchronization and plasticity of neuronal clusters. A less-evident environmental cofactor, coinciding with rising ASD prevalence, is the considerable world-wide increase in electromagnetic radiation (EMR) overall exposure among children. Experimental evidence shows how low-intensity EMR influences cellular processes, via voltage-gated calcium channels (VGCCs), oxidative stress, and mitochondrial metabolism. The Resonant Convergence framework, allow to predict how chronic EMR exposure during the first 24 postnatal months of life can act as a factor in ASD pathogenesis. The best candidate mechanism is chronic Ion Cyclotron Resonance (ICR) detuning the Ca2+-calmodulin pathway, thus disrupting MNS synchronization. METHODS AND ANALYSIS: A prospective observational pilot cohort study (24-month follow-up) proposes to enroll 1000 full-term newborns into two arms: an EMR-reduced cohort (n = 500, rest and sleep-phase Faraday shielding) and a standard exposure cohort (n = 500). Exposure is quantified via radiofrequency (RF)/extremely low frequency(ELF) measurements, proximity analysis, device inventories and wearable dosimetry. The primary endpoint is a continuous neurodevelopmental trajectory score (joint attention, language, electroencephalogram (EEG) mu-rhythm); binary ASD diagnosis (Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), Autism Diagnostic Interview-Revised (ADI-R)) is a secondary, exploratory endpoint. Moreover, an optional genomic screening will evaluate gene-environment interactions within extremely low-frequency electromagnetic field (ELF-EMF) vulnerable pathways, including ASD-associated genes upregulated by RF via bromodomain and extraterminal protein (BET)-mediated epigenetic mechanisms. Analyses will employ risk ratios, Fisher's exact tests and logistic regression adjusted for confounders; mixed-effects and Bayesian modeling will evaluate longitudinal outcomes and exposure reduction effects. Given a 2-3% baseline prevalence, approximately 20-30 ASD cases are expected. The study is therefore powered for exploratory signal detection rather than definitive causal inference, providing the critical baseline data required to justify and design future confirmatory trials. Sex-stratified modeling will address the 4:1 male-to-female prevalence ratio. ETHICS AND DISSEMINATION: Ethics committee approval is not yet sought; full protocol review and approval will be obtained prior to the study initiation, in strict accordance with the Declaration of Helsinki. Written parental informed consent will be mandatory for all participants prior to enrollment. Study findings and methodological milestones will be disseminated through peer-reviewed international scientific publications. This protocol provides a structured methodological framework for the first prospective investigation of sleep-phase EMR reduction as a potential modulator of ASD incidence during early neurodevelopment. Results will inform adequately powered confirmatory trials in electromagnetic neurodevelopmental epidemiology.

autism spectrum disorder↗

PubMed2025

Haplotype-resolved telomere-to-telomere genome assembly of Populus lasiocarpa unveils retrotransposon-driven centromere evolution.

Centromeres, essential for chromosome segregation, exhibit remarkable evolutionary dynamism in sequence composition and structural organization. Here, we report the first haplotype-resolved, telomere-to-telomere genome assembly of Populus lasiocarpa (PLAS) and precisely map all 38 functional centromeres through CENH3 ChIP-Seq. Unlike classical satellite-rich centromeres in model plants, PLAS centromeres lack abundant satellite arrays but are dominated by retrotransposons, particularly RLG and RIL elements, which form intricate nested TE arrays within the functional centromeric regions, disrupting their structural integrity and driving their evolution. Comparative analysis with P. trichocarpa reveals a conserved retrotransposon-dominated architecture, despite minimal sequence conservation. We propose a cyclic model of centromere evolution in which autonomous retrotransposons destabilize functional centromeres through epigenetic erosion, triggering neocentromere formation at pericentromeric sites enriched in transposable elements (TEs) and tandem repeats (TRs). These neocentromeres either succumb to recurrent retrotransposon invasions or stabilize through KARMA-mediated TR expansion, ultimately giving rise to satellite-rich centromeres. Our work redefines centromeres as dynamic, epigenetically plastic domains shaped by retrotransposon-TR antagonism, challenging the satellite-centric paradigm and offering novel insights into plant genome evolution.

Retroelements↗

PubMed2026

Directing fratricide within T cell products using an anti-uPAR chimeric antigen receptor to drive the production of potent therapeutic cells.

Cell therapy manufacturing of primary T cells often results in heterogeneous cell populations in the final product, with many cells lacking desired receptor expression or exhausted and other dysfunctional phenotypes. Here, we design a novel cell-intrinsic strategy to genetically reprogram primary human T cells to autonomously detect and eliminate dysfunctional cells. This integrated detection and elimination process, known as directed fratricide, is programmed via non-viral CRISPR genome editing to eliminate the T cell receptor (TCR) alpha chain (TRAC gene knockout) and integrate a chimeric antigen receptor (CAR) against the urokinase-type plasminogen activator receptor (uPAR), also known as CD87. In these cell products, strong T cell stimulation or activation during manufacturing causes a small subset of cells to express uPAR, which triggers CAR-mediated killing within the product. This fratricide induces proliferation in the desired cells and destroys undesired cells, a process that could be modeled computationally and controlled robustly via supplements to the culture media. The strategy enabled enrichment of anti-uPAR and anti-disialoganglioside (GD2) CAR-T cell products up to ≥99% CAR+/TCR-, favoring a memory-like phenotype. Understanding growth dynamics among T cell subsets and reprogramming them via CRISPR could accelerate the biomanufacturing of potent cell products without extensive selection methods.

Humans↗

PubMed2025

Thick Ascending Limb Specific Inactivation of Myh9 and Myh10 Myosin Motors Results in Progressive Kidney Disease and Drives Sex-specific Cellular Adaptation in the Distal Nephron and Collecting Duct.

Our previous work established a role for myosin motor proteins MYH9 and MYH10 in trafficking of thick ascending limb (TAL) cargoes uromodulin and Na+-K+-2Cl- cotransporter NKCC2. We have generated a TAL-specific Myh9&10 conditional knockout (Myh9&10 TAL-cKO) mouse model to determine the cell autonomous roles for MYH9&10 in TAL cargo trafficking and to understand the consequence of TAL dysfunction in adult kidney. Myh9&10 TAL-cKO mice develop progressive kidney disease with pathological tubular injury confirmed by histological changes, tubular injury markers, upregulated endoplasmic reticulum (ER) stress/unfolded protein response, and higher blood urea nitrogen and serum creatinine. However, male mice survive twice as long as female mice. We have determined this sexual dimorphism in morbidity is due to adaptation of the distal nephron and collecting duct in response to TAL dysfunction and lower NKCC2 expression. We demonstrate that this triggers a compensatory mechanism involving sex-specific cellular adaptation within the distal nephron and collecting duct to boost sodium reabsorption. While both sexes overcompensate by activating epithelial sodium channel (ENaC) expression in medullary collecting ducts resulting in hypernatremia, this is initially subdued in male Myh9&10 TAL-cKO mice through higher sodium chloride cotransporter (NCC) expression within the distal nephron. Our results indicate that compromised TAL function ultimately results in maladaptation of medullary collecting duct cells which acquire cortical-like properties including ENaC expression. This work further confirms a cell autonomous role for MYH9&10 in maintenance of NKCC2 expression in the TAL and uncover distal nephron and collecting duct adaptive mechanisms which respond to TAL dysfunction.

Animals↗

PubMed2026

Aldosterone fuels the progression of cardiovascular-kidney -metabolic syndrome: focus on primary aldosteronism spectrum.

In 2023, the American Heart Association (AHA) introduced the Cardiovascular-Kidney-Metabolic (CKM) syndrome concept to address the substantial burden of interrelated cardiovascular, kidney, and metabolic disorders. The framework highlights that chronic kidney disease (CKD) significantly accelerates CKM syndrome progression and increases cardiovascular risk, an effect that may be closely paralleled by aldosterone excess. Excess aldosterone can arise from renin-dependent aldosteronism (RDA), a primarily physiological state (not discussed in this review), or from renin-independent aldosteronism (RIA). RIA is a pathophysiologically relevant condition characterized by persistent autonomous activation, bypassing normal renin-angiotensin-aldosterone system (RAAS) regulation. Its most recognized form is PA, a prevalent, multidimensional disorder spanning a continuum from subclinical to overt autonomous aldosterone production. This leads to inappropriately elevated aldosterone relative to suppressed renin and sodium levels. PA is a leading cause of secondary hypertension and elevates the risk of metabolic and cardiorenal disorders, showing substantial overlap with CKM syndrome. Despite its clinical significance, the specific relationship between PA and CKM syndrome remains insufficiently investigated. This review synthesizes evidence from three key perspectives: (1) Epidemiology and clinical data show that PA spans a spectrum from subclinical to overt stages and is strongly associated with driving and accelerating the progression of CKM syndrome; (2) Therapeutically, targeted treatment of PA mitigates the adverse effects of aldosterone on CKM syndrome progression; and (3) Pathophysiologically, inappropriately elevated aldosterone primarily interacts with widely distributed mineralocorticoid receptors in tissues relevant to CKM syndrome, exacerbating key pathogenic pathways akin to adding fuel to the fire. Building on this synthesis, we emphasize that inappropriately elevated aldosterone is not merely a simple biomarker but an active driver and accelerator of CKM syndrome progression. This review also proposes future directions for integrated PA-CKM screening and management. Incorporating PA into the CKM syndrome framework could not only refine CKM syndrome care but also address the critical underdiagnosis of PA, whose screening rate regrettably remains below 2% in high-risk populations.

Humans↗

PubMed2025

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.

MOTIVATION: The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts. RESULTS: We present the Artificial Intelligence Agent for High-Optimization and Precision Medicine (AI-HOPE), an AI-driven system that enables domain experts to conduct integrative data analyses through natural language interactions. Powered by Large Language Models, AI-HOPE interprets user instructions, converts them into executable code, and autonomously analyzes locally stored data. It supports flexible association studies, subset comparisons, clinical prevalence assessments and survival analyses. In addition, AI-HOPE enables global variable scans to identify features significantly associated with a user-defined outcome, making a powerful and intuitive tool for advancing precision medicine research. Importantly, its closed-system design prevents clinical data leakage. To demonstrate its utility, AI-HOPE was applied to The Cancer Genome Atlas data to address two clinical questions. First, it identified significant enrichment of TP53 mutations in late-stage colorectal cancer compared to early-stage cases. Second, it uncovered a strong association between KRAS mutations and poorer progression-free survival in FOLFOX-treated patients. These findings align with established literature and demonstrate AI-HOPE's ability to generate meaningful insights independently, without prior assumptions. By removing programming barriers and simplifying complex analyses, AI-HOPE bridges the gap between data complexity and research needs. With its scalable and adaptable framework, AI-HOPE has the potential to support diverse biomedical research fields, driving innovation and efficiency in translational studies. AVAILABILITY AND IMPLEMENTATION: The AI-HOPE software and demonstration data is available at https://github.com/Velazquez-Villarreal-Lab/AI-HOPE.

Precision Medicine↗