Preparation of Green Tea Polyphenol-Loaded Diacylglycerol Nanostructured Lipid Carrier Hydrogels and Their Activities Related to Skin Protection.

Diacylglycerol (DAG) is a functional oil but is rarely used in the cosmetic industry because low solubility, susceptibility to leakage and low viscosity to skin are still the main hurdles. A novel diacylglycerol nanostructured lipid carrier hydrogel (GTP-DAG-NLC-GEL) loaded with green tea polyphenol (GTP) was designed and successfully prepared to broaden DAG's application in cosmetics, which significantly improved GTP stability and skin stickiness of DAG. The results showed that DAG-NLC-GEL had good viscosity, which was 980 Pa·s when the shear rate was 5 rpm, and its viscosity decreased quickly with the increase in shear rate, making it easily expand on skin.

DBS in the restoration of motor functional recovery following spinal cord injury.

The landscape of therapeutic deep brain stimulation (DBS) for locomotor function recovery is rapidly evolving. This review provides an overview of electrical neuromodulation effects on spinal cord injury (SCI), focusing on DBS for motor functional recovery in human and animal models. We highlight research providing insight into underlying cellular and molecular mechanisms.

MHAGuideNet: a 3D pre-trained guidance model for Alzheimer's Disease diagnosis using 2D multi-planar sMRI images.

Background: Alzheimer's Disease is a neurodegenerative condition leading to irreversible and progressive brain damage, with possible features such as structural atrophy. Effective precision diagnosis is crucial for slowing disease progression and reducing the incidence rate and morbidity. Traditional computer-aided diagnostic methods using structural MRI data often focus on capturing such features but face challenges, like overfitting with 3D image analysis and insufficient feature capture with 2D slices, potentially missing multi-planar information, and the complementary nature of features across different orientations.

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.

Association between residential greenness exposure and semen quality: A retrospective study in China.

Background: The association between greenness exposure and semen quality and the underlying mechanism are unclear.

Objectives: To assess the association between greenness exposure and semen quality and whether the association is mediated by air pollutant exposure.

Methods: We collected data from 10,273 men in Zhejiang, China, whose wives received assisted reproductive technology from 2015 to 2021.

Perioperative immunotherapy for nonsmall cell lung cancer.

Purpose Of Review: Recent years have witnessed significant advancements in the treatment of lung cancer with immunotherapy, primarily centered on immune checkpoint inhibitors (ICIs). Numerous clinical studies have evaluated or are currently evaluating the clinical benefits of neoadjuvant, adjuvant, and perioperative use of ICIs. These findings have notably reshaped the landscape of perioperative treatment for nonsmall cell lung carcinoma (NSCLC).

Predicting all-cause mortality and premature death using interpretable machine learning among a middle-aged and elderly Chinese population.

Objective: To develop machine learning-based prediction models for all-cause and premature mortality among the middle-aged and elderly population in China.

Method: Adults aged 45 years or older at baseline of 2011 from the China Health and Retirement Longitudinal Study (CHARLS) were included. The stacked ensemble model was built utilizing five selected machine learning algorithms.

A derivative of honokiol HM568 has an anti-neuroinflammatory effect in Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurodegenerative disease in the world at present. Neuroinflammation plays an important role in Parkinson's disease. In our study, we initially screened magnolol/honokiol derivatives synthesized by our group for their potential anti-neuroinflammatory properties.

The role of intercellular communication in diabetic nephropathy.

Diabetic nephropathy, a common and severe complication of diabetes, is the leading cause of end-stage renal disease, ultimately leading to renal failure and significantly affecting the prognosis and lives of diabetics worldwide. However, the complexity of its developmental mechanisms makes treating diabetic nephropathy a challenging task, necessitating the search for improved therapeutic targets. Intercellular communication underlies the direct and indirect influence and interaction among various cells within a tissue.

Predicting oral and esophageal cancers by one model in a Chinese prospective cohort study.

Objective: Oral and esophageal cancers are both upper gastrointestinal cancers that share a number of risk factors. However, most previous risk prediction models only focused on one of these two types of cancer. There is no single model that could predict both cancers simultaneously.

Direct regeneration of spent LiFePO cathode materials assisted with a bifunctional organic lithium salt.

Direct regeneration is an effective strategy of spent lithium iron phosphate (S-LFP), with the principal aspect being the selection of the lithium source and reductant. Here, assisted with a thermodynamically favourable reaction involving a bifunctional organic lithium salt (lithium citrate), the single-step regeneration of S-LFP is successfully achieved. The structure and composition of the regenerated LFP are significantly restored, demonstrating excellent electrochemical performance (142.

A transformer-based unified multimodal framework for Alzheimer's disease assessment.

In Alzheimer's disease (AD) assessment, traditional deep learning approaches have often employed separate methodologies to handle the diverse modalities of input data. Recognizing the critical need for a cohesive and interconnected analytical framework, we propose the AD-Transformer, a novel transformer-based unified deep learning model. This innovative framework seamlessly integrates structural magnetic resonance imaging (sMRI), clinical, and genetic data from the extensive Alzheimer's Disease Neuroimaging Initiative (ADNI) database, encompassing 1651 subjects.

Approaching Splendid Catalysts for Li-CO Battery from the Theory to Practical Designing: A Review.

Lithium carbon dioxide (Li-CO) batteries, noted for their high discharge voltage of approximately 2.8 V and substantial theoretical specific energy of 1876 Wh kg, represent a promising avenue for new energy sources and CO emission reduction. However, the practical application of these batteries faces significant hurdles, particularly at high current densities and over extended cycle lives, due to their complex reaction mechanisms and slow kinetics.

Translation and cross-cultural adaptation of the Chinese version of the HLS-EU-Q47.

The development of health literacy in China is relatively slow, and there are fewer health literacy scales, which is difficult to measure. Therefore, this study aims to promote the development of health literacy in China through the translation and application of the European Health Literacy Survey Questionnaire (HLS-EU-Q47). The scale was translated into Chinese, back-translated, culturally adapted and finally subjected to psychometric evaluation.

Inhibition of inflammation and apoptosis through the cyclic GMP-AMP synthase-stimulator of interferon genes pathway by stress granules after ALKBH5 demethylase activation during diabetic myocardial ischaemia-reperfusion injury.

Aim: Post-transcriptional modifications and their specific mechanisms are the focus of research on the regulation of myocardial damage. Stress granules (SGs) can inhibit the inflammatory response by inhibiting the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway. This study investigated whether alkylation repair homologue protein 5 (ALKBH5) could affect myocardial inflammation and apoptosis during diabetic myocardial ischaemia-reperfusion injury (IRI) through the cGAS-STING pathway via SGs.

Multimodal Machine Learning-Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia.

Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by prolonged and asymptomatic period, triggering gout and metabolism-related outcomes. Early detection and prognosis prediction for HUA and gout are crucial for pre-emptive interventions. Integrating genetic and clinical data from 421287 UK Biobank and 8900 Nanfang Hospital participants, a stacked multimodal machine learning model is developed and validated to synthesize its probabilities as an in-silico quantitative marker for hyperuricemia (ISHUA).

Crosstalk between Endoplasmic Reticulum Stress and Ferroptosis in Liver Diseases.

The endoplasmic reticulum (ER) played an important role in the folding, assembly and post-translational modification of proteins. ER homeostasis could be disrupted by the accumulation of misfolded proteins, elevated reactive oxygen species (ROS) levels, and abnormal Ca2+ signaling, which was referred to ER stress (ERS). Ferroptosis was a unique programmed cell death model mediated by iron-dependent phospholipid peroxidation and multiple signaling pathways.

A feature-aware multimodal framework with auto-fusion for Alzheimer's disease diagnosis.

Alzheimer's disease (AD), one of the most common dementias, has about 4.6 million new cases yearly worldwide. Due to the significant amount of suspected AD patients, early screening for the disease has become particularly important.

Noninvasive Lung Cancer Subtype Classification Using Tumor-Derived Signatures and cfDNA Methylome.

Unlabelled: Accurate diagnosis of lung cancer is important for treatment decision-making. Tumor biopsy and histologic examination are the standard for determining histologic lung cancer subtypes. Liquid biopsy, particularly cell-free DNA (cfDNA), has recently shown promising results in cancer detection and classification.

Modulation of glycolipid metabolism in T2DM rats by Rubus irritans Focke extract: Insights from metabolic profiling and ERK/IRS-1 signaling pathway.

Ethnopharmacological Relevance: The extracellular regulated protein kinase (ERK) plays a crucial role in the mitogen-activated protein kinase (MAPK) family, influencing apoptosis, proliferation, and differentiation. It connection to the insulin (INS) signaling cascade and the development of type 2 diabetes mellitus (T2DM) has been established. Rubus irritans Focke, an indispensable herb in Chinese Tibetan medicine for diabetes mellitus treatment, lacks a comprehensive understanding of its effects and pharmacological mechanisms in T2DM.

Stimuli-Responsive Aptamer-Drug Conjugates for Targeted Drug Delivery and Controlled Drug Release.

Chemotherapy is widely used for cancer therapy but with unsatisfied efficacy, mainly due to the inefficient delivery of anticancer agents. Among the critical "five steps" drug delivery process, internalization into tumor cells and intracellular drug release are two important steps for the overall therapeutic efficiency. Strategy based on active targeting or TME-responsive is developed individually to improve therapeutic efficiency, but with limited improvement.

Development and validation of a novel sleep health score in the sleep heart health study.

Background: There is a lack of consensus in evaluating multidimensional sleep health, especially concerning its implication for mortality. A validated multidimensional sleep health score is the foundation of effective interventions.

Methods: We obtained data from 5706 participants in the Sleep Heart Health Study.