[Mechanism of Qijia Rougan Decoction and its disassembled formulas on regulation of VEGF/SRF/c-FOS pathway and improvement of hepatic sinusoidal capillaryization in rats with hepatic fibrosis].

This study aims to reveal the mechanism of Qijia Rougan Decoction(QJRG) and its disassembled formulas in mitigating hepatic fibrosis via the vascular endothelial growth factor(VEGF)/serum response factor(SRF)/c-FOS pathway and hepatic sinusoidal capillarization. Male Sprague-Dawley(SD) rats were randomized into a control group(n=6) and a modeling group(n=28). Hepatic fibrosis was induced by subcutaneous injection of 40% carbon tetrachloride(CCl_4) in olive oil.

High temperature induces the upward shift of the thermal neutral zone and decreases metabolic capacity in zebra finches.

The thermal neutral zone (TNZ) represents a fundamental concept in the thermal physiology of homeothermic organisms. TNZ is characterized as a specific range of environmental temperatures within which the metabolic rate remains at its basal level. The ambient temperature is regarded as a critical environmental factor that affects an animal's thermoregulation and propels the development of various morphological, physiological, and behavioral adaptations.

Phase separation of chimeric antigen receptor promotes immunological synapse maturation and persistent cytotoxicity.

Major challenges of chimeric antigen receptor (CAR)-T cell therapy include poor antigen sensitivity and cell persistence. Here, we report a solution to these issues by exploiting CAR phase separation. We found that incorporation of an engineered T cell receptor CD3ε motif, E, into the conventional 28Z or BBZ CAR induced self-phase separation through cation-π interactions.

The Integrating Cultural Aspects Into Diabetes Education (INCLUDE) Study to Prevent Diabetes in Chinese Immigrants: Protocol for a Randomized Controlled Trial.

Background: Type 2 diabetes (T2D) contributes to significant morbidity and mortality for Chinese immigrants in the United States, exacerbated by social determinants of health (SDOH) barriers such as language barriers, limited access to healthy foods, and low health literacy.

Objective: The goal of the Integrating Cultural Aspects into Diabetes Education (INCLUDE) study is to test a social media-based intervention adapting the Diabetes Prevention Program (DPP) for Chinese immigrants alongside a culturally adapted, community-supported agriculture program. Here, we report the protocol for the INCLUDE study.

Cost-effectiveness of Upadacitinib vs. Tofacitinib for moderate-to-severe rheumatoid arthritis in China.

Background: Patients with moderate-to-severe rheumatoid arthritis (RA) in China experience multi-system dysfunction, resulting in a substantial economic burden. This study aimed to compare the cost-effectiveness of Upadacitinib and Tofacitinib as treatment options for moderate-to-severe RA patients in China.

Materials And Methods: A Decision Tree-Markov model with a 24-week cycle was constructed, simulating health status transitions based on the tsDMARDs-TNFi-PC clinical pathway.

Genome-Wide Identification, Characterization and Expression Patterns of the DBB Transcription Factor Family Genes in Wheat.

Double B-box (DBB) proteins are plant-specific transcription factors (TFs) that play crucial roles in plant growth and stress responses. This study investigated the classification, structure, conserved motifs, chromosomal locations, cis-elements, duplication events, expression levels, and protein interaction network of the DBB TF family genes in common wheat ( L.).

Developmental Pattern of Individual Morphometric Similarity Network in the Human Fetal Brain.

The development of the cerebral cortex during the fetal period is a complex yet well-coordinated process. MRI-based morphological brain network provides a powerful tool for describing this process at a network level. Due to the challenges of in-utero MRI acquisition and image processing, the fetal morphological brain network has not been established.

Exploring the developmental changes in and the relationship between resilience and anxiety and depression in older gastric cancer survivors: A latent growth mixture model and random intercept cross-lagged panel model analysis.

Objectives: This study aims to investigate the independent and joint trajectories of resilience, anxiety, and depression symptoms and research the interaction between older gastric cancer survivors' resilience and anxiety-depression during the period of 1 year after surgery.

Methods: The participants were 381 older gastric cancer survivors, with a mean age of 69 years. Resilience, anxiety, and depression symptoms were assessed immediately after surgery, and at 3, 6, and 12 months post-surgery, respectively.

Antibiotic resistomes and ecological risk elimination in field-scale constructed wetland revealed by integrated metagenomics and metatranscriptomics.

Constructed wetlands (CWs) are identified as significant ecological systems for the potential control of antibiotic resistance genes (ARGs) in the environment. However, the precise mechanisms governing removal, persistence, expression, and associated risks of ARGs during wetland treatment remain poorly understood. In this study, the distribution, mobility, expression, and hosts of ARGs in water, sediments, and plants of a field-scale CW and its parallel natural river were systematically investigated through metagenomic and metatranscriptomic approaches.

Research of multi-label text classification based on label attention and correlation networks.

Multi-Label Text Classification (MLTC) is a crucial task in natural language processing. Compared to single-label text classification, MLTC is more challenging due to its vast collection of labels which include extracting local semantic information, learning label correlations, and solving label data imbalance problems. This paper proposes a model of Label Attention and Correlation Networks (LACN) to address the challenges of classifying multi-label text and enhance classification performance.

Nuclear factor erythroid 2-related factor 1 regulates the expression of proteasomal genes in ketotic cows and protects mammary cells against free fatty acid-induced endoplasmic reticulum stress.

Ketosis is a common metabolic disorder in high-yielding cows and is characterized by high concentrations of BHB and free fatty acids (FFA). High concentrations of FFA induce endoplasmic reticulum (ER) stress in multiple organs including mammary tissue, and result in reduced milk production and lower milk quality. In nonruminants, loss of nuclear factor erythroid 2-related factor 1 (NFE2L1) results in ER stress.

Association of metabolic syndrome and frailty with postoperative complications in older gastric cancer patients: A body composition perspective.

Objectives: To compare the characteristics of body compositions between metabolic syndrome (MetS) and frailty, and determine the independent and overlapping of MetS and frailty with postoperative complications among older patients with gastric cancer.

Design: A prospectively observational study.

Setting And Participants: Two hundred and eighty six older patients from 60 to 80 years undergoing radical gastrectomy for the first time.

Paeonia genus: a systematic review of active ingredients, pharmacological effects and mechanisms, and clinical applications for the treatment of cancer.

The main active constituents of plants of the Paeonia genus are known to have antitumor activity. Hundreds of compounds with a wide range of pharmacological activities, including monoterpene glycosides, flavonoids, tannins, stilbenes, triterpenoids, steroids, and phenolic compounds have been isolated. Among them, monoterpenes and their glycosides, flavonoids, phenolic acids, and other constituents have been shown to have good therapeutic effects on various cancers, with the main mechanisms including the induction of apoptosis; the inhibition of tumor cell proliferation, migration, and invasion; and the modulation of immunity.

Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes.

Since the birth of cognitive science, researchers have used reaction time and accuracy to measure cognitive ability. Although recognition of these two measures is often based on empirical observations, the underlying consensus is that most cognitive behaviors may be along two fundamental dimensions: cognitive processing speed (CPS) and cognitive processing accuracy (CPA). In this study, we used genomic-wide association studies (GWAS) data from 14 cognitive traits to show the presence of those two factors and revealed the specific neurobiological basis underlying them.

A motion assessment method for reference stack selection in fetal brain MRI reconstruction based on tensor rank approximation.

Slice-to-volume registration and super-resolution reconstruction are commonly used to generate 3D volumes of the fetal brain from 2D stacks of slices acquired in multiple orientations. A critical initial step in this pipeline is to select one stack with the minimum motion among all input stacks as a reference for registration. An accurate and unbiased motion assessment (MA) is thus crucial for successful selection.

Changes in Skeletal Muscle Mass in the First 3 Months Following Gastrointestinal Cancer Surgery: A Prospective Study.

Background: Surgical resection is the primary treatment for gastrointestinal (GI) cancers, but postoperative skeletal muscle loss (SML) is common and linked to poor prognosis. This study aims to identify patterns of muscle change, examine its association with quality of life (QoL), and explore predictors of SML in the first 3 months.

Patients And Methods: A prospective cohort study was conducted on patients newly diagnosed with GI cancer and undergoing surgery in China between September 2021 and May 2022.

Explainable machine learning framework to predict the risk of work-related neck and shoulder musculoskeletal disorders among healthcare professionals.

Objective: This study aims to develop risk prediction models for neck and shoulder musculoskeletal disorders among healthcare professionals.

Methods: A stratified sampling method was employed to select employees from medical institutions in Nanning City, yielding 617 samples. The Boruta algorithm was used for feature selection, and various models, including Tree-Based Models, Single Hidden-Layer Neural Network Models (MLP), Elastic Net Models (ENet), and Support Vector Machines (SVM), were applied to predict the selected variables, utilizing SHAP algorithms for individual-level local explanations.

Integrated network pharmacology and metabolomics to study the potential mechanism of Jiawei Yinchenhao decoction in chronic hepatitis B.

Chronic hepatitis B infection (CHB) is a major risk factor for the development of hepatocellular carcinoma (HCC) globally and continues to pose a significant global health challenge. Jiawei Yinchenhao decoction (JWYCH) is a modified version of Yinchenhao decoction (YCHD), which is widely used to treat liver diseases including icteric hepatitis, cholelithiasis, and hepatic ascites. However, the effectiveness and underlying mechanism of JWYCH on CHB are still unclear.

Blocking ACSL6 Compromises Autophagy via FLI1-Mediated Downregulation of COLs to Radiosensitize Lung Cancer.

Lung cancer (LC) is the leading cause of cancer-related mortality worldwide. Radiotherapy is the main component of LC treatment; however, its efficacy is often limited by radioresistance development, resulting in unsatisfactory clinical outcomes. Here, we found that LC radiosensitivity is up-regulated by decreased expression of long-chain acyl-CoA synthase 6 (ACSL6) after irradiation.

Tumor oxygenation nanoliposomes promote deep photodynamic therapy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer and has many characteristics including high metastatic rates, poor overall survival, and low response to traditional chemotherapy. Photodynamic therapy (PDT), emerging as a precise treatment modality, has shown promise in improving the antitumor response. However, it still faces challenges such as limited light penetration depth, rapid oxygen consumption, and inadequate targeting ability.

Influences of Social Disengagement and Depressive Symptoms on Sleep Disturbance in Dementia Caregiving Dyads: A Nationally Representative Study.

Objectives: To examine the influence of social disengagement and depressive symptoms on sleep disturbance among dementia caregiving dyads and the actor-partner interdependence nature of these influences.

Design: Actor-partner interdependence model through structural equation modeling for dyadic analyses.

Setting And Participants: A total of 310 dyads of older adults with dementia and their care partners from 2 national representative studies in the United States, the National Health and Aging Trends Study (NHATS) and its companion study, the National Study of Caregiving (NSOC).