Protocol for using treeLFA to infer multimorbidity patterns in the form of disease topics from diagnosis data in biobanks.

Research on multimorbidity patterns promotes our understanding of the common pathological mechanisms that underlie co-occurring diseases. Here, we present a protocol to infer multimorbidity clusters in the form of disease topics from large-scale diagnosis data using treeLFA, a topic model based on the Bayesian binary non-negative matrix factorization. We describe steps for installing software, preparing input data, and training the model.

Mine-DW-Fusion: BEV Multiscale-Enhanced Fusion Object-Detection Model for Underground Coal Mine Based on Dynamic Weight Adjustment.

Environmental perception is crucial for achieving autonomous driving of auxiliary haulage vehicles in underground coal mines. The complex underground environment and working conditions, such as dust pollution, uneven lighting, and sensor data abnormalities, pose challenges to multimodal fusion perception. These challenges include: (1) the lack of a reasonable and effective method for evaluating the reliability of different modality data; (2) the absence of in-depth fusion methods for different modality data that can handle sensor failures; and (3) the lack of a multimodal dataset for underground coal mines to support model training.

A Green Carbon-Based Cellulose Formate Film Bioplastic with High Wet Strength, Excellent Heat Sealability, and Recyclability Fabricated Under Ambient Conditions.

Cellulose-based bioplastics have great potential to replace petroleum-based plastics due to their renewability and biodegradability. However, developing cellulose-based bioplastics still faces significant challenges due to their low water resistance and lack of heat sealability. Herein, a robust and water-resistant cellulose formate film (CFF) bioplastic is prepared via LiBr hydrate pretreatment followed by formic acid esterification under ambient conditions.

"Grafting-to" Polymers of Xylan-g-allyl Glycidyl Ether Toughen PEG Hydrogel via Microphase Separation: Thermoresponsive and Photoreactive Molecular Assembly in DLP 3D Printing.

Utilizing naturally derived biopolymers in the macromolecular design of thermoresponsive polymers offers sustainable and biodegradable smart building blocks to functional materials. Here, a novel graft polymer of xylan-g-allyl glycidyl ether (xylan-g-AGE) that is thermoresponsive to self-assemble and photoreactive in photopolymerization is reported. This research highlights an innovative use of the debranched wood xylan, a chemically engineered linear polysaccharide of β-1,4-linked xylose, as the backbone in grafting polymer, which allows a greater degree of spatial coordination for sidechains than the analogous cellulose.

Identification of immune-associated genes and single-cell sequencing analysis in diagnosing Behçet's disease.

Behçet's Disease (BD) is diagnosed as continuing systematic inflammation, lacking clarified etiology and pertinent detection of clinical usage. We screened bulk-seq and single-cell seq data of BD from GEO database, then investigated immune infiltration landscape in BD and further explored main immune cells in a single-cell resolution. It was inferred that monocytes might be the trigger cell of BD occurrence and development.

A Green Cellulose Dissolution System for Producing Tunable Regenerated Nanocellulose Formate.

Different from the most used ionic liquids or cosolvents of the cellulose dissolution system, we reported a cellulose dissolution method by coupling LiBr·3HO preimpregnation at room temperature (RT) with dissolution of cellulose in formic acid (FA) for controllable production of nanocellulose. This method yields a high solubility (up to 10 wt %) of cellulose, which consequently facilitates the preparation of tunable regenerated nanocellulose formate (RNCF) with versatile applications. The LiBr·3HO preimpregnation at RT significantly improved the dissolution efficiency of cotton pulp by increasing cellulose accessibility via largely breaking hydrogen bonds and deconstructing the cellulose crystalline structure.

Efficacy of Botulinum Toxin Type A for Acute Acquired Comitant Esotropia: An Age-Stratified 2-Year Follow-Up Study.

Purpose: To assess and compare the 2-year follow-up efficacy of botulinum toxin type A (BTXA) in the treatment of acute acquired comitant esotropia (AACE) across five age groups.

Design: Retrospective clinical cohort study.

Methods: A total of 276 patients with AACE who received BTXA injections were enrolled from a single institution between January 2019 and January 2023 (Notably, surgery was recommended for patients >12 years with large-angle esotropia (>50 prism diopters) to reduce failure or recurrence risk).

Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players.

Background: Inflammatory response in the tumor micro-environment contributes to the progression and treatment response of various types of cancers. However, for cervical cancer, a type of cancer initiated by the infection of HPV, the clinical relevance of the inflammatory response and the underlying mechanisms remain to be elucidated.

Methods: The RNA-seq and clinical data of cervical cancer patients in several public datasets was used to construct and validate a prognostic gene signature based on the inflammatory response related genes.

Comprehensive characterization and expression profiling of sucrose phosphate synthase (SPS) and sucrose synthase (SUS) family in Cucumis melo under the application of nitrogen and potassium.

Background: Sugars are not only important biomacromolecules that play vital roles in plant growth, development and environmental stress tolerance, but they also provide carbon skeletons for the synthesis of other macromolecules, such as proteins and nucleic acids. Sugar-related proteins play key roles in the movement of sugars from source tissues (such as leaves) to sink tissues (such as fruits), ultimately influencing fruit development. However, the evolutionary dynamics of this important sugar-related gene family in the Cucumis melo (C.

Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus.

Background: This study aimed to apply four machine learning algorithms to develop the optimal model to predict decline in platelet count (DPC) after interventional closure in children with patent ductus arteriosus (PDA).

Methods: Data from children with PDA who underwent successful transcatheter closure at the Second Affiliated Hospital of Wenzhou Medical University and Yuying Children's Hospital from January 2016, to December 2022, were collected. The cohort data were split into training and testing sets.

Causal genes identification of giant cell arteritis in CD4+ Memory t cells: an integration of multi-omics and expression quantitative trait locus analysis.

Background: Giant cell arteritis (GCA) is a prevalent artery and is strongly correlated with age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated.

Method: Through single-cell analysis, we focused on the CD4+ Memory T cells in giant cell arteritis.

Global, regional, and national burden of myocarditis in children aged 0-14 years, 1990-2021: analysis for the global burden of disease study 2021.

Objective: There are limited epidemiological data on myocarditis in children aged 0-14 years. This study aims to investigate the trends in incidence, mortality, disability-adjusted life years (DALYs), and corresponding estimated annual percentage change (EAPC) of myocarditis in children aged 0-14 years from 1990 to 2021.

Methods: We utilized the 2021 Global Burden of Disease, Injuries, and Risk Factors Study (GBD) analytical tools to examine the incidence, mortality, and DALYs of myocarditis in children aged 0-14 years, considering factors such as age, sex, region, sociodemographic index (SDI), and data from 204 countries or regions.

PMAIP1-mediated glucose metabolism and its impact on the tumor microenvironment in breast cancer: Integration of multi-omics analysis and experimental validation.

Background: Glucose metabolism in breast cancer has a potential effect on tumor progression and is related to the immune microenvironment. Thus, this study aimed to develop a glucose metabolism-tumor microenvironment score to provide new perspectives on breast cancer treatment.

Method: Data were acquired from the Gene Expression Omnibus and UCSC Xena databases, and glucose-metabolism-related genes were acquired from the Gene Set Enrichment Analysis database.

Green synthesized silicon dioxide nanoparticles (SiONPs) ameliorated the cadmium toxicity in melon by regulating antioxidant enzymes activity and stress-related genes expression.

Green synthesized nanoparticles (NPs) are an eco-friendly and cost-effective approach to reduce heavy metal stress in plants. Among heavy metals, cadmium (Cd) possesses higher toxicity to the crops and ultimately reduces their growth and yield. The current study aims to evaluate the effectiveness of green synthesized SiONPs to reduce toxic effects of Cd in melon (Cucumis melo) by regulating physiological parameters, enhancing antioxidant enzyme activity, and modulating stress-related gene expression.

Increasing the tumour targeting of antitumour drugs through anlotinib-mediated modulation of the extracellular matrix and the RhoA/ROCK signalling pathway.

Anlotinib has strong antiangiogenic effects and leads to vessel normalization. However, the "window period" characteristic in regulating vessel normalization by anlotinib cannot fully explain the long-term survival benefits achieved through combining it with other drugs. In this study, through RNA sequencing (RNA-seq) and label-free quantitative proteomics analysis, we discovered that anlotinib regulated the expression of components of the extracellular matrix (ECM), leading to a significant reduction in ECM stiffness.

A tough, stretchable, adhesive and electroconductive polyacrylamide hydrogel sensor incorporated with sulfonated nanocellulose and carbon nanotubes.

Recently, hydrogel sensors have been widely applied in wearable and portable electronics, but the low mechanical property, intolerance of fatigue, and low sensitivity and adhesion limit their further applications. In this study, sulfonated nanocellulose (SCNF) with dual functionality was blended into polyacrylamide (PAM) hydrogel matrix to reinforce the mechanical strength and facilitate the homogeneous dispersion of carbon nanotubes (CNTs). The SCNF-CNT/PAM hydrogel was designed through free radical polymerization to achieve commendable mechanical, electrical, and multifunctional properties.

Identification and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellular carcinoma transformation: Bioinformatics analysis and machine learning approach.

Purpose: Nonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hepatocellular carcinoma (HCC). Understanding the progression from NASH to HCC is critical to early diagnosis and elucidating the underlying mechanisms.

Results: 5 significant prognostic genes related to NASH-HCC transformation were identified through algorithm selection, which were ME1, TP53I3, SOCS2, GADD45G and CYP7A1.

Crystalline nanoxylan from hot water extracted wood xylan at multi-length scale: Molecular assembly from nanocluster hydrocolloids to submicron spheroids.

As a contribution to expand accessibility in the territory of bio-based nanomaterials, we demonstrate a novel material strategy to convert amorphous xylan preserved in wood biomass to hierarchical assemblies of crystalline nanoxylan on a multi-length scale. By reducing the end group in pressurized hot water extracted (PHWE) xylan to primary alcohol as a xylitol form with borohydride reduction, the endwise-peeling depolymerization is effectively impeded in the alkali-catalyzed hydrolytic cleavage of side substitutions in xylan. Nanoprecipitation by a gradual pH decrease resulted in a stable hydrocolloid dispersion in the form of worm-like nanoclusters assembled with primary crystallites, owing to the self-assembly of debranched xylan driven by strong intra- and inter-chain H-bonds.

The relationship between caffeine and its metabolites and bone mineral density in postmenopausal women: a cross-sectional analysis from the NHANES database.

We aim to explore the association between caffeine and its metabolites and bone mineral density (BMD) in postmenopausal women. Data of 4286 postmenopausal women were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2009-14 in this cross-sectional study. Weighted linear regression and stepwise regression analyses were used to screen the covariates.

Comprehensive review: Effects of climate change and greenhouse gases emission relevance to environmental stress on horticultural crops and management.

Global climate change exerts a significant impact on sustainable horticultural crop production and quality. Rising Global temperatures have compelled the agricultural community to adjust planting and harvesting schedules, often necessitating earlier crop cultivation. Notably, climate change introduces a suite of ominous factors, such as greenhouse gas emissions (CGHs), including elevated temperature, increased carbon dioxide (CO) concentrations, nitrous oxide (NO) and methane (CH) ozone depletion (O), and deforestation, all of which intensify environmental stresses on crops.

Exploration of SERPINA family functions and prognostic value in breast cancer based on transcriptome and in vitro analysis.

Breast cancer poses a significant risk to women worldwide, yet specific role of SERPINA gene family in breast cancer remains unclarified. Data were collected from online databases. SERPINA family gene expression was presented, and prognosis value was evaluated.