Clinical characteristics of patients with early gastric prematurity cancer and analysis of complications by endoscopic resection.

BACKGROUND: Gastric cancer, a prevalent malignancy, poses a severe threat to the health of residents in China. Timely intervention in early stages can extend patients' survival. AIM: To analyze clinical characteristics of patients with early gastric cancer and efficacy and risk of complications associated with endoscopic resection. METHODS: This study included 175 patients with early gastric cancer treated at our hospital, with no restrictions on sex or age. General data, pathological information, and endoscopic biopsy results were obtained. The clinical characteristics of early gastric cancer were analyzed, and endoscopic resection was performed. Postoperative efficacy and incidence of complications were monitored. Statistical analysis was performed using SPSS 26.0 and GraphPad Prism 8.0 software. RESULTS: A total of 175 patients with early gastric cancer were included, with 75.43% (n = 132) males and 24.57% (n = 43) females. 38.29% (n = 67) and 35.43% (n = 62) of patients had a history of smoking and alcohol consumption, respectively. Comorbidities included diabetes (8.57%, n = 15), coronary heart disease (10.29%, n = 18), and hypertension (43.43%, n = 76), which was highly prevalent. A history of abdominal surgery and family history of digestive system cancer accounted for 21.14% and 17.14%, respectively. The most common lesion location was the antral part of the stomach (52.00%, n = 91), followed by the gastric angle, body, and fundus. The pathological types were predominantly high-grade intraepithelial neoplasia (28.00%, n = 49) and well-differentiated adenocarcinoma (26.86%, n = 47), followed by moderately differentiated adenocarcinoma, high-moderately differentiated adenocarcinoma, and moderate-lowly differentiated adenocarcinoma. 89.14% of the patients had intestinal metaplasia and 85.14% had atrophy. After endoscopic resection, re-examination revealed that 13 patients had cancer cells at the tissue margin, with a positive margin rate of 7.43%. Postoperative complications included no cases of gastrointestinal obstruction, but incisional infection (2.86%, n = 5), gastric perforation (1.14%, n = 2), and gastric bleeding (4%, n = 7) were present, with an overall incidence of 8.00%. CONCLUSION: Analysis of the clinical characteristics indicated that early gastric cancer is more prevalent in males with a history of hypertension, with lesions most commonly occurring in the antral region of the stomach. The pathological types are often high-grade intraepithelial neoplasia and well-differentiated adenocarcinoma, with over 85% of patients having comorbid intestinal metaplasia and atrophy. Despite endoscopic resection, a positive margin rate persisted, indicating a probability of residual cancer at the margins. Postoperative complications, such as gastrointestinal obstruction, incisional infection, gastric perforation, and gastric bleeding can occur and require timely symptomatic treatment.

Bone marrow mesenchymal stem cells-derived exosomal miR-381 alleviates lung ischemia-reperfusion injury by activating Treg differentiation through inhibiting YTHDF1 expression.

AIM: Our study aimed to investigate whether BMSCs-derived exosomal miR-381 promotes Treg cell differentiation in lung ischemia-reperfusion injury (LIRI), and the underlying mechanism. METHODS: The in vitro and in vivo models of LIRI were established by hypoxia/reoxygenation (H/R) treatment and lung ischemia/reperfusion (I/R) surgery, respectively. BMSCs-derived exosomes were isolated and identified by western blot, nanoparticle tracking analysis, and transmission electron microscopy. Cell viability, proliferation, and apoptosis were assessed by CCK-8, EdU, and flow cytometry assay, respectively. IL-18 secretion level in lung microvascular endothelial cells (LMECs) and lung tissue homogenate was examined by ELISA. Treg cell differentiation was determined using flow cytometry. The relationships between miR-381, YTHDF1, and IL-18 were investigated using dual-luciferase reporter gene, RIP, and/or RNA pull-down assays. MeRIP assay was employed to determine m6A modification of IL-18 mRNA in LMECs. The ubiquitination level of Foxp3 protein in CD4+ T cells was analyzed by Co-IP assay. RESULTS: BMSCs-derived exosomes reduced LMECs injury and increased Treg cell differentiation in LIRI, whereas miR-381 inhibition in BMSCs weakened these impacts. Mechanistically, miR-381 inhibited IL-18 translation in LMECs by inhibiting YTHDF1 expression via binding to its 3'-UTR. As expected, YTHDF1 overexpression in LMECs abolished the effects of miR-381-overexpressed exosomes on LMECs injury and Treg cell differentiation. Moreover, LMECs-secreted IL-18 inhibited Treg cell differentiation by promoting the ubiquitination degradation of Foxp3 protein. CONCLUSION: BMSCs-derived exosomal miR-381 suppressed IL-18 translation in LMECs through binding to YTHDF1 3'-UTR, thus suppressing the ubiquitination degradation of Foxp3 in CD4+ T cells, which promoted Treg cell differentiation and mitigated LIRI development.

DMRdb: a disease-centric Mendelian randomization database for systematically assessing causal relationships of diseases with genes, proteins, CpG sites, metabolites and other diseases.

Exploring the causal relationships of diseases with genes, proteins, CpG sites, metabolites and other diseases is fundamental to the life sciences. However, large-scale research using Mendelian randomization (MR) analysis is currently lacking. To address this, we introduce DMRdb (http://www.inbirg.com/DMRdb/), a disease-centric Mendelian randomization database, designed to systematically assess causal relationships of diseases with genes, proteins, CpG sites, metabolites and other diseases. The database consists of three main components: (i) 6640 high-quality disease genome-wide association studies (GWASs) from public sources that were subjected to rigorous quality filtering and standardization; (ii) over 497 billion results from MR analyses involving 6640 disease GWAS datasets, 16 238 expression quantitative trait loci (eQTLs) data, 2564 protein quantitative trait loci (pQTLs) data, 12 000 methylation quantitative trait locus (meQTLs) data and 825 metabolites data and (iii) over 380 000 causal relationship pairs from 1223 literature sources relevant to MR analyses. A user-friendly online database was developed to allow users to query, search, and download all the results. In summary, we anticipate that DMRdb will be a valuable resource for advancing our understanding of disease mechanisms and identifying new biomarkers and therapeutic targets.

Deletion of Mgat2 in spermatogonia blocks spermatogenesis.

Identifying factors required for spermatogenesis is important for understanding mechanisms of male fertility. Inactivation of either the Mgat1 or Man2a2 gene leads to a block in spermatogenesis causing infertility in male mice. MGAT1 GlcNAc-transferase initiates complex N-glycan synthesis and MAN2A2 mannosidase generates the substrate for MGAT2 GlcNAc-transferase to form a biantennary complex N-glycan. In this paper, we show that conditional deletion of Mgat2 in spermatogonia via Stra8-iCre caused a novel block in spermatogenesis, largely prior to the formation of round spermatids. Mgat2[-/-] germ cells did not bind the lectins Phaseolus vulgaris leucoagglutinin (L-PHA) or Griffonia simplicifolia II (GSA-II), similar to germ cells lacking MGAT1 and complex N-glycans. However, overall spermatogenic defects were distinct in germ cells with deleted Mgat2 versus Mgat1. In addition, RNA-seq analysis at 15 days after birth revealed a unique transcriptomic landscape in Mgat2[-/-] germ cells with genes required for sperm formation and functions being most downregulated. Bioinformatic analyses using the ingenuity pathway analysis (IPA) algorithm identified ERK and AKT as central activities. Western blot analyses of 15-day germ cell lysates confirmed that both AKT and ERK1/2 signaling were increased by loss of MGAT2 in germ cells. By contrast, Mgat1[-/-] germ cells were previously shown to have reduced ERK signaling and unchanged AKT activity. Therefore, since the loss of all complex N-glycans is common to each mutant model, the different immature N-glycans that accumulate in Mgat2[-/-] versus Mgat1[-/-] germ cells are proposed to be the basis of their unique spermatogenic phenotypes.

The association between serum S100ß levels and prognosis in acute stroke patients after intravenous thrombolysis: a multicenter prospective cohort study.

BACKGROUND: S100ß is a biomarker of astroglial damage, the level of which is significantly increased following brain injury. However, the characteristics of S100ß and its association with prognosis in patients with acute ischemic stroke following intravenous thrombolysis (IVT) remain unclear. METHODS: Patients in this multicenter prospective cohort study were prospectively and consecutively recruited from 16 centers. Serum S100ß levels were measured 24 h after IVT. National Institutes of Health Stroke Scale (NIHSS) and hemorrhagic transformation (HT) were measured simultaneously. NIHSS at 7 days after stroke, final infarct volume, and modified Rankin Scale (mRS) scores at 90 days were also collected. An mRS score ≥ 2 at 90 days was defined as an unfavorable outcome. RESULTS: A total of 1072 patients were included in the analysis. The highest S100ß levels (> 0.20 ng/mL) correlated independently with HT and higher NIHSS at 24 h, higher NIHSS at 7 days, larger final infarct volume, and unfavorable outcome at 3 months. The patients were divided into two groups based on dominant and non-dominant stroke hemispheres. The highest S100ß level was similarly associated with the infarct volume in patients with stroke in either hemisphere (dominant: ß 36.853, 95% confidence interval (CI) 22.659-51.048, P < 0.001; non-dominant: ß 23.645, 95% CI 10.774-36.516, P = 0.007). However, serum S100ß levels at 24 h were more strongly associated with NIHSS scores at 24 h and 3-month unfavorable outcome in patients with dominant hemisphere stroke (NIHSS: ß 3.470, 95% CI 2.392-4.548, P < 0.001; 3-month outcome: odds ratio (OR) 5.436, 95% CI 2.936-10.064, P < 0.001) than in those with non-dominant hemisphere stroke (NIHSS: ß 0.326, 95% CI  - 0.735-1.387, P = 0.547; 3-month outcome: OR 0.882, 95% CI 0.538-1.445, P = 0.619). The association of S100ß levels and HT was not significant in either stroke lateralization group. CONCLUSIONS: Serum S100ß levels 24 h after IVT were independently associated with HT, infarct volume, and prognosis in patients with IVT, which suggests the application value of serum S100ß in judging the degree of disease and predicting prognosis.

Radical Replacement Process for Ligated Boryl Radical-Mediated Activation of Unactivated Alkyl Chlorides for C(sp3)-C(sp3) Bond Formation.

The ligated boryl radical (LBR) has emerged as a potent tool for activating alkyl halides in radical transformations through halogen-atom transfer (XAT). However, unactivated alkyl chlorides still present an open challenge for this strategy. We herein describe a new activation mode of the LBR for the activation of unactivated alkyl chlorides to construct a C(sp3)-C(sp3) bond. Mechanistic studies reveal that the success of the protocol relies on a radical replacement process between the LBR and unactivated alkyl chloride, forming an alkyl borane intermediate as the alkyl radical precursor. Aided with the additive K3PO4, the alkyl borane then undergoes one-electron oxidation, generating an alkyl radical. The incorporation of the radical replacement activation model to activate unactivated alkyl chlorides significantly enriches LBR chemistry, which has been applied to activate alkyl iodides, alkyl bromides, and activated alkyl chlorides via XAT.

Post-heading dry-matter transport and nutrient uptake differentiate hybrid and inbred indica rice in the double-cropping system in South China.

Introduction: Hybrid rice demonstrated superior performance in enhancing yield and efficiency in rice production compared to inbred rice. Nevertheless, the underlying mechanism responsible for the increased yield and efficiency of hybrid rice in South China's double-cropping rice region remains understudied. Methods: Field experiments over two consecutive years were conducted. Firstly, yield variations among 20 inbred and 15 hybrid rice cultivars prevalent in South China's double-cropping rice system were examined. Secondly, selecting representative hybrid and inbred rice cultivars with significant yield disparities were carried out on further analyzing dry-matter production, source-sink relationships, and nutrient absorption and utilization in both rice types. Results: Hybrid rice displayed an average grain yield of 8.07 and 7.22 t hm-2 in the early and late seasons, respectively, which corresponds to a 12.29% and 13.75% increase over inbred rice with statistically significant differences. In comparison to inbred rice, hybrid rice exhibited enhanced nitrogen concentration in leaves at the heading stage (15.48-16.20%), post-heading dry matter accumulation (52.62-73.21%), post-heading dry matter conversion rate (29.23-34.12%), and harvest index (17.31-18.37%). Additionally, grain nitrogen and phosphorus uptake in hybrid rice increased by 11.88-22.50% and 16.38-19.90%. Hybrid rice mainly improved post-heading nitrogen and phosphorus uptake and transport, while not total nitrogen and phosphorus uptake. Internal nitrogen and phosphorus use efficiency enhanced by 9.83%-14.31% and 10.15%-13.66%, respectively. Post-heading dry matter accumulation, harvest index, grain nitrogen and phosphorus uptake, and internal nitrogen and phosphorus use efficiency exhibited significant positive linear correlations with grain yield. Discussion: The period from heading to maturity is critical for enhancing hybrid rice yield and efficiency. Improving photosynthetic capacity during this period and promoting nutrient transport to grains serve as crucial pathways for increasing grain yield and efficiency. This study is of great significance for further improvement grain yield and breeding rice cultivars with high-yield and high nutrients use efficiency for South China's double-cropped rice system.

A machine learning model based on CHAT-23 for early screening of autism in Chinese children.

Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental condition that significantly impacts the mental, emotional, and social development of children. Early screening for ASD typically involves the use of a series of questionnaires. With answers to these questionnaires, healthcare professionals can identify whether a child is at risk for developing ASD and refer them for further evaluation and diagnosis. CHAT-23 is an effective and widely used screening test in China for the early screening of ASD, which contains 23 different kinds of questions. Methods: We have collected clinical data from Wuxi, China. All the questions of CHAT-23 are regarded as different kinds of features for building machine learning models. We introduce machine learning methods into ASD screening, using the Max-Relevance and Min-Redundancy (mRMR) feature selection method to analyze the most important questions among all 23 from the collected CHAT-23 questionnaires. Seven mainstream supervised machine learning models were built and experiments were conducted. Results: Among the seven supervised machine learning models evaluated, the best-performing model achieved a sensitivity of 0.909 and a specificity of 0.922 when the number of features was reduced to 9. This demonstrates the model's ability to accurately identify children for ASD with high precision, even with a more concise set of features. Discussion: Our study focuses on the health of Chinese children, introducing machine learning methods to provide more accurate and effective early screening tests for autism. This approach not only enhances the early detection of ASD but also helps in refining the CHAT-23 questionnaire by identifying the most relevant questions for the diagnosis process.

Research progress and considerations on oral rehydration therapy for the prevention and treatment of severe burn shock: A narrative review.

Severe burns are a significant cause of life-threatening conditions in both peacetime and wartime. Shock is a critical complication during the early stages of burn injury, contributing substantially to mortality and long-term disability. Effective fluid resuscitation is crucial for preventing and treating shock, with prompt administration being vital. However, timely intravenous fluid resuscitation is often challenging, and errors in resuscitation significantly contribute to mortality. Therefore, exploring a more rapid and effective non-invasive method of fluid resuscitation is necessary. Oral rehydration therapy (ORT) has shown considerable potential in this regard. This paper reviews ORT's historical development and current research progress, discussing its application in early anti-shock treatment for burns. While ORT is generally safe, potential complications like diarrhoea, vomiting, and abdominal discomfort must be noted, particularly if the rehydration rate is too rapid or if gastrointestinal issues exist. Careful patient assessment and monitoring are essential during ORT administration. Based on a comprehensive review of relevant research, we present provisional guidelines for ORT in burn patients. These guidelines aim to inform clinical practice but should be applied cautiously due to limited clinical evidence. Implementation must be tailored to the patient's condition under healthcare supervision, with adjustments according to evolving circumstances: ① Initiation timing: Start as soon as possible, and the ideal start time is usually within 6 h after injury. ② Rate of application: Employing a fractional administration approach, wherein small quantities of approximately 150-250 millilitres are provided for each instance and the initial fluid rate of oral rehydration can be simplified to 100 mL/kg/24 h. ③ Composition combination: In addition to essential salts and glucose, the oral rehydration solution can incorporate various anti-inflammatory and cellular protection constituents.

scDAPP: a comprehensive single-cell transcriptomics analysis pipeline optimized for cross-group comparison.

Single-cell transcriptomics profiling has increasingly been used to evaluate cross-group (or condition) differences in cell population and cell-type gene expression. This often leads to large datasets with complex experimental designs that need advanced comparative analysis. Concurrently, bioinformatics software and analytic approaches also become more diverse and constantly undergo improvement. Thus, there is an increased need for automated and standardized data processing and analysis pipelines, which should be efficient and flexible too. To address these, we develop the single-cell Differential Analysis and Processing Pipeline (scDAPP), a R-based workflow for comparative analysis of single cell (or nucleus) transcriptomic data between two or more groups and at the levels of single cells or 'pseudobulking' samples. The pipeline automates many steps of pre-processing using data-learnt parameters, uses previously benchmarked software, and generates comprehensive intermediate data and final results that are valuable for both beginners and experts of scRNA-seq analysis. Moreover, the analytic reports, augmented by extensive data visualization, increase the transparency of computational analysis and parameter choices, while facilitate users to go seamlessly from raw data to biological interpretation. scDAPP is freely available under the MIT license, with source code, documentation and sample data at the GitHub (https://github.com/bioinfoDZ/scDAPP).

Global mental health solidarity: strategies and solutions.

Mental health is deteriorating far and fast globally post-COVID. Though there were already over one billion people living with mental disorders pre-pandemic, in the first year of COVID-19 alone, the prevalence of anxiety and depression soared by 25% worldwide. In light of the chronic shortages of mental health resources and talents, along with disruptions of available health services caused by pandemic-related restrictions, technology is widely believed to hold the key to addressing the rising mental health crises. However, hurdles such as fragmented and oftentimes suboptimal patient protection measures substantially undermine technology's potential to address the global mental health crises reliably and at scale. To shed light on these issues, this paper aims to discuss the post-pandemic mental health challenges and opportunities, and the strategies and solutions the global mental health community could leverage to protect and elevate society's mental health in the long run.

Qishen Granules Modulate Metabolism Flexibility Against Myocardial Infarction via HIF-1 α-Dependent Mechanisms in Rats.

OBJECTIVE: To assess the cardioprotective effect and impact of Qishen Granules (QSG) on different ischemic areas of the myocardium in heart failure (HF) rats by evaluating its metabolic pattern, substrate utilization, and mechanistic modulation. METHODS: In vivo, echocardiography and histology were used to assess rat cardiac function; positron emission tomography was performed to assess the abundance of glucose metabolism in the ischemic border and remote areas of the heart; fatty acid metabolism and ATP production levels were assessed by hematologic and biochemical analyses. The above experiments evaluated the cardioprotective effect of QSG on left anterior descending ligation-induced HF in rats and the mode of energy metabolism modulation. In vitro, a hypoxia-induced H9C2 model was established, mitochondrial damage was evaluated by flow cytometry, and nuclear translocation of hypoxia-inducible factor-1 α (HIF-1 α) was observed by immunofluorescence to assess the mechanism of energy metabolism regulation by QSG in hypoxic and normoxia conditions. RESULTS: QSG regulated the pattern of glucose and fatty acid metabolism in the border and remote areas of the heart via the HIF-1 α pathway, and improved cardiac function in HF rats. Specifically, QSG promoted HIF-1 α expression and entry into the nucleus at high levels of hypoxia (P<0.05), thereby promoting increased compensatory glucose metabolism; while reducing nuclear accumulation of HIF-1 α at relatively low levels of hypoxia (P<0.05), promoting the increased lipid metabolism. CONCLUSIONS: QSG regulates the protein stability of HIF-1 α, thereby coordinating energy supply balance between the ischemic border and remote areas of the myocardium. This alleviates the energy metabolism disorder caused by ischemic injury.

Targeting NTCP for liver disease treatment: A promising strategy.

The sodium taurocholate co-transporting polypeptide (NTCP), a bile acids transporter, has been identified as a new therapeutic target for the treatment of liver disease. This paper thoroughly investigates the function of NTCP for regulating bile acid regulation, its correlation with hepatitis B and D infections, and its association with various liver diseases. Additionally, in this review we examine recent breakthroughs in creating NTCP inhibitors and their prospective applications in liver disease treatment. While this review emphasizes the promising potential of targeting NTCP, it concurrently underscores the need for broader and more detailed research to fully understand the long-term implications and potential side effects associated with NTCP inhibition.

N6-methyladenosine transcriptome-wide profiles of maize kernel development.

Maize (Zea mays L.) kernel development is a complex and dynamic process involving cell division and differentiation, into a variety of cell types. Epigenetic modifications, including DNA methylation, play a pivotal role in regulating this process. N6-methyladenosine modification is a universal and dynamic post-transcriptional epigenetic modification that is involved in the regulation of plant development. However, the role of N6-methyladenosine in maize kernel development remains unknown. In this study, we have constructed transcriptome-wide profiles for maize kernels at various stages of early development. Utilizing a combination of MeRIP-seq and RNA-seq analysis, we identified a total of 11,170, 10,973, 11,094, 11,990, 12,203 and 10,893 N6-methyladenosine peaks in maize kernels at 0, 2, 4, 6, 8, and 12 days after pollination, respectively. These N6-methyladenosine modifications were primarily deposited at the 3'-UTRs and were associated with the conserved motif-UGUACA. Additionally, we found that conserved N6-methyladenosine modification are involved in the regulation of genes that are ubiquitously expressed during kernel development. Further analysis revealed that N6-methyladenosine peak intensity was negatively correlated with the mRNA abundance of these ubiquitously expressed genes. Meanwhile, we employed phylogenetic analysis to predict potential regulatory proteins involved in maize kernels development and identified several that participate in the regulation of N6-methyladenosine modifications. Collectively, our results suggest the existence of a novel post-transcriptional epigenetic modification mechanism involved in the regulation of maize kernels development, thereby providing a novel perspective for maize molecular breeding.

Metal-Phosphonate-Organic Network as Ion Enrichment Layer for Sustainable Zinc Metal Electrode with High Rate Capability.

Zinc (Zn) metal batteries could be the technology of choice for sustainable battery chemistries owing to its better safety and cost advantage. However, their cycle life and Coulombic efficiency (CE) are strongly limited by the dendritic growth and side reactions of Zn anodes. Herein, we proposed an in situ construction of a metal-phosphonate-organic network (MPON) with three-dimensional interconnected networks on Zn metal, which can act as an ion enrichment layer for Zn anodes in Zn-metal batteries. This MPON with abundant porous structure and phosphate sites possesses ion enriching properties and high Zn2+ transference number (0.83), which is beneficial for enhancing Zn2+ migration and self-concentrating kinetics. Meanwhile, MPON offers hydrophobicity to effectively inhibit the water-induced Zn anode corrosion. As a result, the Zn electrode exhibits superior Zn/Zn2+ reversibility of over 4 months at 3 mA cm-2 and a high CE of 99.6%. Moreover, the Zn/NaV3O8 ·1.5H2O and Zn/MnO2 full cells using ultrathin Zn anodes (10 µm) exhibit high-capacity retention of 81% and 78% after 1400 and 1000 cycles, respectively. This work provides a unique promise to design high-performance anode for practical Zn-metal-based batteries.

Unveiling the Interplay Between Depressive Symptoms' Alleviation and Quality of Life Improvement in Major Depressive Disorder: A Network Analysis Based on Longitudinal Data.

Background: Understanding the dynamic relationship between depressive symptoms and quality of life (QOL) is essential in improving long-term outcomes for patients with Major Depressive Disorder (MDD). While previous studies often relied on cross-sectional data, there is a pressing need for stronger evidence based on longitudinal data to better inform the development of effective clinical interventions. By focusing on key depressive symptoms, such interventions have the potential to ultimately enhance QOL in individuals with MDD. Methods: This multi-center prospective study, conducted between 2016 and 2020, enrolled outpatients and inpatients diagnosed with MDD across twelve psychiatric hospitals in China. Longitudinal data on Patient Health Questionnaire - 9 (PHQ-9) and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) was analyzed using an Extended Bayesian Information Criterion (EBIC) graphical least absolute shrinkage and selection operator (gLASSO) network model to explore the connections between depressive symptom changes and QOL changes. Flow network was applied to investigate relationships between individual symptom changes and overall QOL score change, as well as daily functional independence. Results: This study included 818 participants with complete data after 8-week antidepressant treatment. Apart from the overlapping items from PHQ-9 and Q-LES-Q-SF, the three edges between "mood" (delta-QLES2) and "anhedonia" (delta-DEP1), between "physical health" (delta-QLES1) and "sleep problems" (delta-DEP3), and between "physical health" (delta-QLES1) and "sad mood" (delta-DEP2) were the most strong bridges between the cluster of depressive symptoms alleviation and the cluster of QOL change. "Anhedonia" (delta-DEP1), "sad mood" (delta-DEP2) and "loss of energy" (delta-DEP4) had the highest bridge strength between the alleviations of depressive symptoms and the total score change of Q-LES-Q-SF. Anhedonia had the greatest connection with participants' satisfaction with function in daily life. Conclusion: This study highlighted the potential for developing highly effective interventions by targeting on central symptoms, thereby to ultimately improve QOL for patients with MDD.

Development and application of a WebGIS-based prediction system for multi-criteria decision analysis of porcine pasteurellosis.

Porcine pasteurellosis is an infectious disease caused by Pasteurella multocida (P. multocida), which seriously endangers the healthy development of pig breeding industry. Early detection of disease transmission in animals is a crucial early warning for humans. Therefore, predicting risk areas for disease is essential for public health authorities to adopt preventive measures and control strategies against diseases. In this study, we developed a predictive model based on multi-criteria decision analysis (MCDA) and assessed risk areas for porcine pasteurellosis in the Chinese mainland. By using principal component analysis, the weights of seven spatial risk factors were determined. Fuzzy membership function was used to standardize all risk factors, and weight linear combination was used to create a risk map. The sensitivity of the risk map was analyzed by calculating the mean of absolute change rates of risk factors, as well as calculating an uncertainty map. The results showed that risk areas for porcine pasteurellosis were predicted to be locate in the south-central of the Chinese mainland, including Sichuan, Chongqing, Guangdong, and Guangxi. The maximum standard deviation of the uncertain map was less than 0.01and the ROC results showed that the prediction model has moderate predictive performance with the area under the curve (AUC) value of 0.80 (95% CI 0.75-0.84). Based on the above process, MCDA was combined with WebGIS technology to construct a system for predicting risk areas of porcine pasteurellosis. Risk factor data was directly linked to the developed model, providing decision support for disease prevention and control through monthly updates.

Apoptotic vesicles (apoVs) derived from fibroblast-converted hepatocyte-like cells effectively ameliorate liver fibrosis.

Liver fibrosis is a serious global health issue for which effective treatment remains elusive. Chemical-induced hepatocyte-like cells (ciHeps) have emerged as an appealing source for cell transplantation therapy, although they present several challenges such as the risk of lung thromboembolism or hemorrhage. Apoptotic vesicles (apoVs), small membrane vesicles generated during the apoptosis process, have gained attention for their role in regulating various physiological and pathological processes. In this study, we generated ciHep-derived apoVs (ciHep-apoVs) and investigated their therapeutic potential in alleviating liver fibrosis. Our findings revealed that ciHep-apoVs induced the transformation of macrophages into an anti-inflammatory phenotype, effectively suppressed the activity of activated hepatic stellate cells (aHSCs), and enhanced the survival of hepatocytes. When intravenously administered to mice with liver fibrosis, ciHep-apoVs were primarily engulfed by macrophages and myofibroblasts, leading to a reduction in liver inflammation and fibrosis. Proteomic and miRNA analyses showed that ciHep-apoVs were enriched in various functional molecules that modulate crucial cellular processes, including metabolism, signaling transduction, and ECM-receptor interactions. ciHep-apoVs effectively suppressed aHSCs activity through the synergistic inhibition of glycolysis, the PI3K/AKT/mTOR pathway, and epithelial-to-mesenchymal transition (EMT) cascades. These findings highlight the potential of ciHep-apoVs as multifunctional nanotherapeutics for liver fibrosis and provide insights into the treatment of other liver diseases and fibrosis in other organs.

Gender differences in behavioral and emotional problems among school children and adolescents in China: National survey findings from a comparative network perspective.

BACKGROUND: Behavioral and emotional problems are common and often co-occur during childhood and adolescence. The aim of this study was to assess gender differences in the network structures of behavioral and emotional problems of children and adolescents in China based on a national survey. METHODS: The Parent version of Achenbach's Child Behavior Checklist (CBCL) was used to assess behavioral and emotional problems. To account for potential confounding factors between boys and girls, propensity score matching was utilized. Network model differences were assessed with a Network Comparison Test (NCT). RESULTS: Data from 60,715 children and adolescents were included for analyses. Boys exhibited more severe total behavioral and emotional problems compared to girls. While several edges showed significant differences between boys and girls, the strongest association was consistently found between "Attention problems" (CBCL6) and "Aggressive behavior"(CBCL8) in both boys and girls, regardless of age. Network centrality was higher among adolescents compared to children. The most central problems commonly found across different genders and age groups were "Aggressive behavior" (CBCL8) (centrality values were 1.142 for boys aged 6-11 years, 1.051 for boys aged 12-16 years, 1.148 for girls aged 6-11 years, and 1.028 for girls aged 12-16 years), "Anxious/depressed" (CBCL1) (centrality values of 0.892 for boys aged between 6 and 11 years, 1.031 for boys aged 12-16 years, 0.951 for girls aged 6-11 years, and 1.099 for girls aged 12-16 years) and "Social problems" (CBCL4) (centrality values of 1.080 for boys aged 6-11 years, 0.978 for boys aged 12-16 years, 1.086 for girls aged between 6 and 11 years, and 0.929 for girls aged 12-16 years). CONCLUSION: Development of interventions that address aggressive behavior, anxiety/depression, and social problems may be beneficial for reducing risk of psychopathology among children and adolescents.