Dyslipidemia progression and increased lung cancer risk: a prospective cohort study.

Objectives: To investigate the associations of changes in lipidemic profile with the risk of lung cancer incidence, and to elucidate how modifiable risk factors contribute to the associations.

Design And Participants: The prospective study enrolled a cohort of 137,075 individuals with lipidemic profiles spanning from January 1, 1996 to December 31, 2006 in the Taiwan MJ Cohort. Follow-up was extended from the second clinical visit until December 31, 2007, with an average duration of 6.

Neuropsychiatric polygenic scores are weak predictors of professional categories.

Polygenic scores (PGS) enable the exploration of pleiotropic effects and genomic dissection of complex traits. Here, in 421,889 individuals with European ancestry from the Million Veteran Program and UK Biobank, we examine how PGS of 17 neuropsychiatric traits are related to membership in 22 broad professional categories. Overall, we find statistically significant but weak (the highest odds ratio is 1.

Measurement of the electric potential and the magnetic field in the shifted analysing plane of the KATRIN experiment.

The projected sensitivity of the effective electron neutrino-mass measurement with the KATRIN experiment is below 0.3 eV (90 % CL) after 5 years of data acquisition. The sensitivity is affected by the increased rate of the background electrons from KATRIN's main spectrometer.

Single-cell transcriptomic and neuropathologic analysis reveals dysregulation of the integrated stress response in progressive supranuclear palsy.

Progressive supranuclear palsy (PSP) is a sporadic neurodegenerative tauopathy variably affecting brainstem and cortical structures, and characterized by tau inclusions in neurons and glia. The precise mechanism whereby these protein aggregates lead to cell death remains unclear. To investigate the contribution of these different cellular abnormalities to PSP pathogenesis, we performed single-nucleus RNA sequencing (snRNA-seq) and analyzed 50,708 high quality nuclei targeting the diencephalon, including the subthalamic nucleus and adjacent structures, from human post-mortem PSP brains with varying degrees of pathology compared to controls.

Timing of standard chow exposure determines the variability of mouse phenotypic outcomes and gut microbiota profile.

Standard chow diets influence reproducibility in animal model experiments because chows have different nutrient compositions, which can independently influence phenotypes. However, there is little evidence of the role of timing in the extent of variability caused by chow exposure. Here we measured the impact of different diets (5V5M, 5V0G, 2920X and 5058) and timing of exposure (adult exposure (AE), lifetime exposure (LE) and developmental exposure (DE)) on growth and development, metabolic health indicators and gut bacterial microbiota profiles across genetically identical C57BL/6J mice.

Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.

Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. Here, we present an image recognition system based on biological vision that guides attention to more informative locations within a larger parent image, using a sequence of saccade-like motions. We demonstrate that at the end of the saccade sequence the system has an improved classification ability compared to the convolutional neural network (CNN) that represents the feedforward part of the model.

The effect of Mozart's K.448 on epilepsy: A systematic literature review and supplementary research on music mechanism.

The "Mozart effect" in epilepsy was first identified by Hughes et al. in 1998. In their treatment of 29 (ages 3-47) patients with epilepsy, including children, the patients showed a significant reduction in epileptic activity on the EEG while listening to "Mozart's Sonata for Two Pianos K.

Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study.

Background: Nicotine is a highly addictive agent in tobacco products. On June 21, 2022, the US Food and Drug Administration (FDA) announced a plan to propose a rule to establish a maximum nicotine level in cigarettes and other combusted tobacco products.

Objective: This study aimed to understand public perception and discussion of very low nicotine content (VLNC) on Twitter (rebranded as X in July 2023).

Ga-FAPI-46 PET/CT in the evaluation of gliomas: comparison with F-FDG PET/CT and contrast-enhanced MRI.

This study compared Ga-FAPI-46 PET/CT, F-fluorodeoxyglucose (FDG) PET/CT, and contrast-enhanced MRI (CE-MRI) for glioma imaging, classification, and recurrence detection and explored PET parameters and molecular pathological profiles. Between June 2020 and June 2024, we prospectively enrolled patients with space-occupying lesions in the brain or previously treated gliomas. All patients underwent sequential CE-MRI, Ga-FAPI-46, and F-FDG PET/CT.

To What Extent Can Digital Health Technologies Comply With the Principles of Responsible Innovation? Practice-and Policy-Oriented Research Insights Regarding an Organisational and Systemic Issue.

Background: Digital health technologies (DHTs) have expanded exponentially since the COVID-19 crisis and have prompted questions about their impact across all levels of health systems. Because health organisations and systems play a central role in the success or failure of the transition to more equitable and sustainable societies, the concept of Responsible Innovation in Health (RIH), focused on aligning the processes and outcomes of innovation with societal values, is gaining interest in research, policy, and practice. This study aims to explore enablers and constraints to the development, procurement and/or utilisation of responsible DHTs in health organisations.

"We go hunting …": Understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight related goals.

The high prevalence of food insecurity in the United Kingdom has been exacerbated by the cost-of-living crisis. In high-income countries, those experiencing food insecurity struggle to buy and consume foods that meet Government healthy eating recommendations, and are at increased risk of obesity, linked to poor diet quality. Individuals in high-income countries purchase most of their food to consume at home from supermarkets, making this an important context within which healthier and environmentally sustainable food purchasing should be supported.

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction.

The rising incidences of myocardial infarction (MI), often affecting individuals without traditional risk factors, highlight the urgent need for improved early detection using personal health data. However, health surveys and electronic health records (EHRs) frequently suffer from class imbalances, leading to prediction biases and differences between specificity and sensitivity, which hinder reliable model development despite the valuable insights contained in these datasets. To address this, we have introduced a novel approach to enhance MI risk prediction using self-reported attributes from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS) dataset.

End of life care in paediatric settings: UK national survey.

Objectives: To describe end of life care in settings where, in the UK, most children die; to explore commonalities and differences within and between settings; and to test whether there are distinct, alternative models of end of life care.

Methods: An online survey of UK neonatal units (NNUs), paediatric intensive care units (PICUs) and children/young people's cancer principal treatment centres (PTCs) collected data on aspects of service organisation, delivery and practice relevant to end of life outcomes or experiences (referred to as the core elements of end of life care) across three domains: care of the child, care of the parent and bereavement care.

Results: 91 units/centres returned a survey (37% response rate).

mRNA vaccine sequence and structure design and optimization: Advances and challenges.

Messenger RNA (mRNA) vaccines have emerged as a powerful tool against communicable diseases and cancers, as demonstrated by their huge success during the coronavirus disease 2019 (COVID-19) pandemic. Despite the outstanding achievements, mRNA vaccines still face challenges such as stringent storage requirements, insufficient antigen expression, and unexpected immune responses. Since the intrinsic properties of mRNA molecules significantly impact vaccine performance, optimizing mRNA design is crucial in preclinical development.

Decoding Functional and Developmental Trajectories of Tissue-Resident Uterine Dendritic Cells Through Integrative Omics.

Uterine dendritic cells (uDCs) are critical for endometrial function, yet their origin, molecular characteristics, and specific roles during the pre- and post-implantation periods in the human endometrium remain largely unknown. The complexity of the endometrial environment makes defining the contributions of uDCs subtypes challenging. We hypothesize that distinct uDC subsets carry out specialized functions, and that resident progenitor DCs generate these subtypes.

Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri.

This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neural visual features extracted from medium-resolution satellite imagery (Sentinel-2). By applying a deep convolutional neural network (DCNN), the study aims to predict the obesity rate of census tracts based on visual features in the satellite imagery that covers each tract. The study utilizes Sentinel-2 satellite images, processed using the ResNet-50 DCNN, to extract deep neural visual features (DNVF).

Circulating Blood-Brain Barrier Proteins for Differentiating Ischaemic Stroke Patients from Stroke Mimics.

Background: Stroke is one of the leading causes of death and disability worldwide. The diagnosis of stroke remains largely clinical, yet widely used stroke scoring systems and brain imaging do not satisfactorily allow the distinction of ischaemic stroke (IS) patients from stroke mimics (SMs). Blood biomarkers are promising tools that could facilitate clinical triage.

Cost-effectiveness of high flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care.

Background: High flow nasal cannula therapy (HFNC) and continuous positive airway pressure (CPAP) are two widely used modes of non-invasive respiratory support in paediatric critical care units. The FIRST-ABC randomised controlled trials (RCTs) evaluated the clinical and cost-effectiveness of HFNC compared with CPAP in two distinct critical care populations: acutely ill children ('step-up' RCT) and extubated children ('step-down' RCT). Clinical effectiveness findings (time to liberation from all forms of respiratory support) showed that HFNC was non-inferior to CPAP in the step-up RCT, but failed to meet non-inferiority criteria in the step-down RCT.