Exploring the impact of dietary factors on intracranial aneurysm risk: insights from Mendelian randomization analysis.

Background: While existing research has established a link between dietary habits and the incidence of intracranial aneurysms, the application of Mendelian randomization to explore this association remains largely uncharted.

Methods: In our study, we analyzed a wide array of dietary factors using data from the IEU Open GWAS project, which included meat varieties, vegetarian foods, cereal and the frequency of alcohol intake. We included pooled intracranial aneurysm GWAS data from a comprehensive dataset of 7,495 cases.

Robust Tertiary Amine Suspended HCIPs for Catalytic Conversion of CO into Cyclic Carbonates under Mild Conditions.

A series of tertiary amine suspended hyper-cross-linked ionic polymers (HCIPs), characterized by a rich mesoporous structure, high ionic liquid (IL) density, and good CO adsorption capability, were readily prepared via a postsynthetic method. The self-polymerization of 1,3,5-tris(bromomethyl) benzene (TBB) or its copolymerization with 4,4'-bis(bromomethyl) biphenyl (BBP) in varying ratios, followed by grafting with ,,','-tetramethyl-1,3-propanediamine (TMPDA), yielded the target TMPDA-HCIPs. These HCIPs constitute one of the limited categories of heterogeneous water-tolerant catalyst types ever developed for the cycloaddition reaction between CO and epoxides.

Testing the carbohydrate-insulin model: Short-term metabolic responses to consumption of meals with varying glycemic index in healthy adults.

The carbohydrate-insulin model predicts that meals with varying glycemic indices will elicit distinct metabolic and hunger responses, including greater intake at subsequent meals following high-glycemic-index meals. To test this, a randomized trial (NCT05804942) was conducted in healthy adults using intervention meals with low, medium, and high glycemic indices and a constant macronutrient composition. After intake of the intervention meals, glucose and insulin followed the predicted pattern, but subjective hunger did not.

DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography.

Three-dimensional coronary magnetic resonance angiography (CMRA) requires reconstruction algorithms that can significantly suppress the artifacts encountered in heavily undersampled acquisitions. While unrolling-based deep reconstruction methods have achieved state-of-the-art performance on 2D image reconstruction, their application in 3D reconstruction is hindered by the large amount of memory required to train an unrolled network. In this study, we propose a memoryefficient deep compressed sensing method that employs a sparsifying transform based on a pre-trained artifact estimation network.

Brain temperature mapping based on chemical exchange saturation transfer signal at 2 ppm.

Background: Brain temperature signifies the thermal homeostasis of the tissue, and may serve as a marker for neuroprotective therapy. Currently, it remains challenging to map the human brain temperature with high spatial resolution. The thermal dependence of chemical exchange saturation transfer (CEST) effects of endogenous labile protons may provide a promising mechanism for the absolute brain temperature imaging.

Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance.

Background: Deep learning (DL)-based adipose tissue segmentation methods have shown great performance and efficacy for adipose tissue distribution analysis using magnetic resonance (MR) images, an important indicator of metabolic health and disease. The aim of this study was to evaluate the reproducibility of whole-body adipose tissue distribution analysis using proton density fat fraction (PDFF) images at different MR strengths.

Methods: A total of 24 volunteers were imaged using both 1.

Metabolic pathway and genetically causal links of 1,400 circulating metabolites on the risk of intracranial aneurysms and aneurysmal subarachnoid hemorrhage.

Background: The rupture of intracranial aneurysms (IAs) leads to aneurysmal subarachnoid hemorrhage (aSAH), which is associated with significant disability and mortality rates. This study aims to identify metabolic markers causally linked to the occurrence of IAs and aSAH through Mendelian randomization (MR), thereby offering novel predictive and therapeutic targets.

Methods: We conducted a genome-wide association study (GWAS) on IAs and aSAH, analyzing 1,400 metabolomic indices from the Canadian Longitudinal Study on Aging (CLSA) cohort (n = 8,299).

In vivo imaging of glycogen in human muscle.

Probing regional glycogen metabolism in humans non-invasively has been challenging due to a lack of sensitive approaches. Here we studied human muscle glycogen dynamics post-exercise with a spatial resolution of millimeters and temporal resolution of minutes, using relayed nuclear Overhauser effect (glycoNOE) MRI. Data at 5T showed a homogeneous distribution of glycogen in resting muscle, with an average concentration of 99 ± 13 mM.

Gratitude Experience in Ten Patients with Spinal Muscular Atrophy: A Qualitative Study.

Objective: This study aimed to investigate the gratitude experience of young and middle-aged patients with spinal muscular atrophy (SMA) during hospitalisation to provide a theoretical basis for medical professionals to develop gratitude intervention programs.

Methods: Patients with SMA who were treated with nusinersen in the Department of Neurology of the First Hospital of Jilin University between April 20 and May 20, 2024 were selected using the purposive sampling method, and semi-structured interviews were conducted. The interview data were analysed using Colaizzi's 7-step analysis method.

A hybrid deep image prior and compressed sensing reconstruction method for highly accelerated 3D coronary magnetic resonance angiography.

Introduction: High-resolution whole-heart coronary magnetic resonance angiography (CMRA) often suffers from unreasonably long scan times, rendering imaging acceleration highly desirable. Traditional reconstruction methods used in CMRA rely on either hand-crafted priors or supervised learning models. Although the latter often yield superior reconstruction quality, they require a large amount of training data and memory resources, and may encounter generalization issues when dealing with out-of-distribution datasets.

Comparative analysis of hepatic fat quantification across 5 T, 3 T and 1.5 T: A study on consistency and feasibility.

Objectives: Magnetic resonance imaging (MRI) is a critical noninvasive technique for evaluating liver steatosis, with efficient and precise fat quantification being essential for diagnosing liver diseases. This study leverages 5 T ultra-high-field MRI to demonstrate the clinical significance of liver fat quantification, and explores the consistency and accuracy of the Proton Density Fat Fraction (PDFF) in the liver across different magnetic field strengths and measurement methodologies.

Methods: The study involved phantoms with lipid contents ranging from 0 % to 30 % and 35 participants (21 females, 14 males; average age 30.

Native and Gd-EOB-DTPA-Enhanced T1 mapping for Assessment of Liver Fibrosis in NAFLD: Comparative Analysis of Modified Look-Locker Inversion Recovery and Water-specific T1 mapping.

Rationale And Objectives: To investigate the diagnostic performance of water-specific T1 mapping for staging liver fibrosis in a non-alcoholic fatty liver disease (NAFLD) rabbit model, in comparison to Modified Look-Locker Inversion recovery (MOLLI) T1 mapping.

Materials And Methods: 60 rabbits were randomly divided into the control group (12 rabbits) and NAFLD model groups (eight rabbits per subgroup) corresponding to different durations of high-fat high cholesterol diet feeding. All rabbits underwent MRI examination including MOLLI T1 mapping and 3D multi-echo variable flip angle (VFAME- GRE) sequences were acquired before and 20 min after the administration of Gd- EOB-DTPA.

A Pd-catalyzed route to carborane-fused boron heterocycles.

Due to the expanding applications of icosahedral carboranes in medicinal and materials chemistry research, their functionalizations have become one of the central themes in boron-rich cluster chemistry. Although several strategies for incorporating nitrogen-containing nucleophiles on a single boron vertex of the icosahedral carboranes (CBH) have been developed, methods for preparing clusters with vicinal B-N moieties are still lacking. The steric bulk of icosahedral carboranes and disparate electronic and steric nature of the N-containing groups have rendered the vicinal diamination challenging.

Thyroid-stimulating hormone induces insulin resistance in adipocytes via endoplasmic reticulum stress.

Abstract: Subclinical hypothyroidism (SCH) is closely related to insulin resistance, and thyroid-stimulating hormone (TSH) level is an independent factor for insulin resistance associated with subclinical hypothyroidism. This study aims to explore the effects of TSH levels on insulin signal transduction in adipocytes and to establish the role of endoplasmic reticulum (ER) stress in this process. In this study, the SCH mouse model was established, and 3T3-L1 adipocytes were treated with TSH or tunicamycin (TM), with or without 4-phenylbutyric acid (4-PBA), an inhibitor of ER stress.

Tri-Compartmental Restriction Spectrum Imaging Based on F-FDG PET/MR for Identification of Primary Benign and Malignant Lung Lesions.

Background: Restriction spectrum imaging (RSI), as an advanced quantitative diffusion-weighted magnetic resonance imaging technique, has the potential to distinguish primary benign and malignant lung lesions.

Objective: To explore how well the tri-compartmental RSI performs in distinguishing primary benign from malignant lung lesions compared with diffusion-weighted imaging (DWI), and to further explore whether positron emission tomography/magnetic resonance imaging (PET/MRI) can improve diagnostic efficacy.

Study Type: Prospective.

Restraint of Nonradiative Recombination via Modulation of -Phase Distribution through Interfacial Lithium Salt Insertion for High-Performance Pure-Blue Perovskite LEDs.

i-two-dimensional perovskite has been widely used in blue perovskite light-emitting diodes. However, the performance of these devices is still hampered by random phase distribution, nonradiative recombination, and imbalanced carrier transport. In this work, an effective strategy is proposed to mitigate these limitations by inserting lithium salts at the interfaces between the hole transport layer (HTL) and the perovskite layer.

An Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data.

DNA-based data storage is a new technology in computational and synthetic biology, that offers a solution for long-term, high-density data archiving. Given the critical importance of medical data in advancing human health, there is a growing interest in developing an effective medical data storage system based on DNA. Data integrity, accuracy, reliability, and efficient retrieval are all significant concerns.

Enhancing Kinetics in Sodium Super Ion Conductor NaMnTi(PO) through Microbe-Assisted and Structural Optimization.

Sodium (Na) super ion conductor (NASICON) structure NaMnTi(PO) (NMTP) is considered a promising cathode for sodium-ion batteries due to its reversible three-electron reaction. However, the inferior electronic conductivity and sluggish reaction kinetics limit its practical applications. Herein, we successfully constructed a three-dimensional cross-linked porous architecture NMTP material (AsN@NMTP/C) by a natural microbe of (AsN), and the structure of different NMTP cathodes was optimized by adjusting different transition metal Mn/Ti ratios.

Building structure-borne noise measurements and estimation due to train operations in tunnel.

The perception of structure-borne noise is particularly salient when train passes through the tunnel under the buildings, which has a negative impact on human health. In the process of constructing buildings along metro lines, it is crucial to estimate indoor structure-borne noise levels in order to enhance design and prevent any negative impact on human comfort. This study conducted measurements of structure-borne noise, reverberation time, and train-induced vibrations in Guangzhou, China to investigate the generation, propagation, and dissipation mechanisms of structure-borne noise.

A restricted dynamic surface self-reconstruction toward high-performance of direct seawater oxidation.

The development of highly efficient electrocatalysts for direct seawater splitting with bifunctionality for inhibiting anodic oxidation reconstruction and selective oxygen evolution reactions is a major challenge. Herein, we report a direct seawater oxidation electrocatalyst that achieves long-term stability for more than 1000 h at 600 mA/cm@η and high selectivity (Faraday efficiency of 100%). This catalyst revolves an amorphous molybdenum oxide layer constructed on the beaded-like cobalt oxide interface by atomic layer deposition technology.

[Environmental Benefits of Pollution and Carbon Reduction by Bus Fleet Electrification in Zhengzhou].

Electrification of bus fleets is an effective approach to reducing transportation-related pollution and carbon emissions. Evaluating the impact of electrification on existing bus fleets can provide valuable insights for promoting full electrification of public transportation in large cities. Utilizing the fuel life cycle method, we analyzed the CO and pollutant emissions of Zhengzhou's bus fleet before and after electrification and evaluated emissions under different electrification scenarios.