Improved topical delivery of curcumin by hydrogels formed by composite carriers integrated with cyclodextrin metal-organic frameworks and cyclodextrin nanosponges.

Curcumin (CUR) is highly promising for topical therapeutic applications, but water-insolubility is one of the major challenges plaguing its drugability, while conventional lipid nanocarriers are limited by low drug-carrying capacity, many additives, and complex processes. In the current work, we constructed a composite carrier integrated with cyclodextrin metal-organic framework (γ-CD-MOF) and cyclodextrin nanosponge (β-CDNS), in which the γ-CD-MOF had 13.9 % drug loading and 267.

Endovascular intravascular intervention for central venous stenosis in maintenance hemodialysis patients: a retrospective observational study.

Background: The number of people undergoing maintenance hemodialysis is increasing rapidly worldwide. Central vein stenosis (CVS) is a common vascular complication in undergoing hemodialysis, especially those with a history of catheterization. This study aimed to investigate the characteristics of CVS and the clinical effectiveness of percutaneous transluminal angioplasty (PTA) alone and sequential percutaneous transluminal stenting (PTS) in hemodialysis patients with CVS.

Genetic Causality of Hypothyroidism and Adverse Pregnancy Outcomes: A Combined Mendelian Randomisation Study and Bioinformatics Analysis.

Background: Observational studies have shown that hypothyroidism is strongly associated with adverse pregnancy outcomes, and that thyroxine during pregnancy comes mainly from the mother; therefore, thyroid defects in women may lead to problems such as miscarriage due to hormonal instability in early pregnancy, and foetal neurological deficits in mid- to late gestation, but whether there is a genetic causality between the two is still a matter of some controversy.

Objective: Goal to investigate the possible causal association between hypothyroidism and unfavorable pregnancy outcomes through the use of bioinformatics and Mendelian randomization (MR).

Methods: We used Mendelian randomization (MR) analyses using single nucleotide polymorphism (SNP) sites as instrumental variables to infer causal associations between exposures and outcomes.

Effects of two strains isolated from different sources on the growth of .

Microbial inoculants offer an environmentally friendly approach to enhance plant growth and control disease. In this study, two strains, HKSSLJEBR3 (R3) and Ya-1 were isolated from pepper plant roots and tropical rainforest soil, respectively. Both strains exhibited strong antifungal activity against f.

Traumatic renal artery thrombosis: a case report and literature review.

Traumatic Renal Artery Thrombosis (TRAT) is an uncommon condition characterized by a low clinical incidence and a lack of specific symptoms, making it highly susceptible to being overlooked or misdiagnosed. This retrospective analysis aims to review the diagnostic and therapeutic approaches applied to a TRAT patient who received successful treatment in the Emergency Medicine Department of the First People's Hospital of Kunshan. The objective is to enhance clinicians' comprehension of TRAT, promote early diagnosis and intervention, and ultimately improve patient outcomes.

The waist-to-height ratio is a good predictor for insulin resistance in women with polycystic ovary syndrome.

Objective: This study aimed to explore the role of the waist-to-height ratio (WHtR) in assessing insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS).

Materials And Methods: We enrolled 882 PCOS-afflicted women in a cross-sectional analysis to evaluate the association of the WHtR with IR. Their demographic characteristics, anthropometric parameters, and fasting blood samples were collected and measured.

Leveraging oyster shell and zero-valent iron to eliminate excessive acidification and enhance methane production from readily acidified substrates.

Anaerobic digestion is a sustainable technology for methane (CH) production from organic waste and wastewater. However, its performance is frequently hindered by excessive acidification in readily acidified substrates, such as starch wastewater. Oyster shell (OS), a natural alkaline material, effectively regulates pH and enhances CH production.

Human umbilical cord mesenchymal stem cells enhance liver regeneration and decrease collagen content in fibrosis mice after partial hepatectomy by activating Wnt/β-catenin signaling.

Liver fibrosis is a critical stage in the progression of various chronic liver diseases to cirrhosis and liver cancer. Early inhibition of liver fibrosis is crucial for the treatment of liver disease. Hepatectomy, a common treatment for liver-related diseases, promotes liver regeneration.

Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.

Introduction: Catheter ablation of persistent atrial fibrillation yields sub-optimal success rates partly due to the considerable heterogeneity within the patient population. Identifying distinct patient phenotypes based on post-ablation prognosis could improve patient selection for additional therapies and optimize treatment strategies.

Methods: We studied all patients who underwent catheter ablation of persistent atrial fibrillation in the DECAAF II trial.

DHA Improves neurodevelopmental abnormalities in offspring of gestational diabetes mellitus patients via the PPAR-γ/FATP4 pathway.

Offspring of women with gestational diabetes mellitus (GDM) face an increased risk of long-term neurodevelopmental abnormalities. This study explores the altered expression of key placental fatty acid transport proteins-FATP2, FATP4, FATP6, FABP4, and FAT/CD36-in GDM patients, and the potential of docosahexaenoic acid (DHA) to mitigate neurodevelopmental risks in offspring by enhancing their expression through activation of peroxisome proliferator-activated receptor γ (PPAR-γ). Our findings demonstrate that placental FATP4 expression is reduced in GDM patients.

Development of a DNA-encoded library screening method "DEL Zipper" to empower the study of RNA-targeted chemical matter.

To date, RNA-targeted chemical matter is under explored due to a lack of robust screening assays. In this study, we present a novel RNA-targeted small molecule screening approach using a specialized DNA-encoded library (DEL). Our findings reveal that the specialized DEL library, called "DEL Zipper", can significantly reduce single-stranded DNA-RNA region interaction signals during various kinds of RNA selection.

Macrophage metabolic reprogramming: A trigger for cardiac damage in autoimmune diseases.

Macrophage metabolic reprogramming has a central role in the progression of autoimmune and auto-inflammatory diseases. The heart is a major target organ in many autoimmune conditions and can sustain functional and structural impairments, potentially leading to irreversible cardiac damage. There is mounting clinical evidence pointing to a link between autoimmune disease and cardiac damage.

Different Role of PET-CT Evaluation in Newly Diagnosed Follicular Lymphoma Upon Rituximab-Based Chemotherapy and Chemo-Free Immunotherapy.

Newly diagnosed follicular lymphoma (FL) patients usually received first-line rituximab-based immunochemotherapy (R-chemo). Recently, rituximab plus lenalidomide (R2) emerged as an alternative chemo-free immunotherapy. We performed a comparative analysis of positron emission tomography/computed tomography (PET/CT) in FL undergoing R-chemo or R2.

Automated White Matter Fiber Tract Segmentation for the Brainstem.

This study aimed to develop an automatic segmentation method for brainstem fiber bundles. We utilized the brainstem as a seed region for probabilistic tractography based on multishell, multitissue constrained spherical deconvolution in 40 subjects from the Human Connectome Project (HCP). All tractography data were registered into a common space to construct a brainstem fiber cluster atlas.

The U-shaped correlation between serum VD concentration and systemic immune-inflammatory index: results from the NHANES database prospective cohort study.

Background: Vitamin D (VD) plays a critical role in regulating systemic inflammation, but its correlation with the systemic immune-inflammatory index (SII) remains unclear. This study aimed to explore the relationship between serum VD concentration, dietary VD intake, and SII using data from the National Health and Nutrition Examination Survey (NHANES).

Methods: Data from NHANES 2007-2018 and NHANES 2007-2020 were analyzed for serum VD levels and dietary VD intake, respectively.

Association of sleep duration and depressive symptoms with mortality in cancer survivors.

Background: Evidence of the association between sleep duration, depressive symptoms, and mortality in cancer survivors is limited.

Methods: 2,111 participants from the National Health and Nutrition Examination Surveys were involved and linked to a mortality database up to 31 December 2019. Sleep duration was self-reported at baseline.

Which is more priority, substrate type or food quality? A case study on a tropical coral reef sea cucumber Stichopus chloronotus revealed by prokaryotic biomarker.

Background: Different species of sea cucumbers in various regions have diverse preferred habitats and feeding habits. However, detailed research on the correlation between food selection and habitat preference of sea cucumbers, as well as their adaptive adjustments to specific habitat types, is still lacking.

Methods: A field study was carried out to explore the relationship between food selection and habitat preference, as well as the adaptation process, of the tropical sea cucumber Stichopus chloronotus, which has specific food preferences.

Effect of the Deubiquitinating Peptidase 7 (USP7) on Hepatitis B Virus (HBV) Replication and the Antiviral Efficacy of Entecavir (ETV).

Hepatitis B is a viral infection of the liver caused by the hepatitis B virus (HBV). Entecavir (ETV) is considered the primary therapeutic option for HBV treatment, primarily functioning by inhibiting HBV replication. Ubiquitin-specific peptidase 7 (USP7), a deubiquitinating enzyme, plays a crucial role in regulating DNA repair mechanisms.

Improved enzyme functional annotation prediction using contrastive learning with structural inference.

Recent years have witnessed the remarkable progress of deep learning within the realm of scientific disciplines, yielding a wealth of promising outcomes. A prominent challenge within this domain has been the task of predicting enzyme function, a complex problem that has seen the development of numerous computational methods, particularly those rooted in deep learning techniques. However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities.

Toripalimab plus chemotherapy for first line treatment of advanced non-small cell lung cancer (CHOICE-01): final OS and biomarker exploration of a randomized, double-blind, phase 3 trial.

A randomized double-blind phase 3 trial (CHOICE-01, NCT03856411) demonstrated that combining toripalimab with chemotherapy substantially improves progression-free survival (PFS) in advanced non-small cell lung cancer (NSCLC) patients without pretreatment. This study presents the prespecified final analysis of overall survival (OS) and biomarkers utilizing circulating tumor DNA (ctDNA) and tissue-based sequencing. Additionally, the analysis revealed a higher median overall survival (OS, 23.

Sphk1/S1P pathway promotes blood-brain barrier breakdown after intracerebral hemorrhage through inducing Nlrp3-mediated endothelial cell pyroptosis.

Intracerebral hemorrhage (ICH) is a severe stroke subtype with high mortality and limited therapeutic options. The blood-brain barrier (BBB) breakdown post-ICH exacerbates secondary brain injury, highlighting the need for targeted therapies to preserve the BBB integrity. We aim to investigate the role of the Sphk1/S1P pathway in BBB breakdown following ICH and to evaluate the therapeutic potential of Sphk1 inhibition in mitigating this breakdown.

CPARI: a novel approach combining cell partitioning with absolute and relative imputation to address dropout in single-cell RNA-seq data.

A key challenge in analyzing single-cell RNA sequencing data is the large number of false zeros, known as "dropout zeros", which are caused by technical limitations such as shallow sequencing depth or inefficient mRNA capture. To address this challenge, we propose a novel imputation model called CPARI, which combines cell partitioning with our designed absolute and relative imputation methods. Initially, CPARI employs a new approach to select highly variable genes and constructs an average consensus matrix using C-mean fuzzy clustering-based blockchain technology to obtain results at different resolutions.

The effectiveness of telitacicept in patients with systemic lupus erythematosus: A retrospective, real-world study.

Objective: Despite some study demonstrated the effectiveness of telitacicept in patients with systemic lupus erythematosus (SLE), a noticeable gap exists in real-world data. This study aimed to examine the effectiveness and safety of telitacicept in patients with SLE in the real-world.

Method: This retrospective study enrolled patients with SLE at the Tangdu Hospital from January 2022 to January 2023.

Synthesis and characterization of a novel photothermal hydrogel composite with combined osteogenic and antibacterial activities.

Cranial defect repair remains a significant challenge in neurosurgery, and designing material complexes that can support bone regeneration while minimizing complications such as infection and inflammation could help alleviate this clinical challenge. This study presents a photothermal hydrogel complex with a controlled rapid gelation process, PDA-G-A-H, which integrates photothermal polydopamine nanoparticles (PDA NPs) with gentamycin (G) and alendronate acid (A). Furthermore, the incorporation of the injectable hydrogel Pluronic F127 and collagen (H) made this composite hydrogel (PDA-G-A-H) suitable for the multifaceted needs of cranial defects.

Distributed K-Means algorithm based on a Spark optimization sample.

To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. SOSK-Means incorporates several key modifications to enhance the clustering process.Firstly, a weighted jump-bank approach is introduced to enable efficient random sampling and preclustering.