Objective To investigate the genetic characteristics of viruses associated with viral diarrhea in Jilin Province, in order to provide a scientific basis for making more effective prevention and control strategies of viral diarrhea.Methods A total of 211 fecal specimens from hospitalized children under 5 years of age with diarrhea and 7 sewage samples were collected in Jilin Province from January to July 2023. Initial screening was performed using qPCR, and positive specimens were further analyzed by RT-PCR to amplify target genes. Sequencing was conducted, and phylogenetic trees were constructed to analyze genetic relationships.Results In fecal specimens, the positive rates for rotavirus(RV), Norovirus(NoV),Sapovirus(SaV), astrovirus(AstV), and adenovirus(AdV) were 10. 9%, 48. 3%, 4. 3%, 1. 4%, and 5. 7%, respectively. In sewage samples, 5 AstV and 4 NoV were detected, along with 3 samples each of RV, SaV, and AdV. Sequencing and genotyping results revealed that RV G8P [8] was the predominant circulating strain. Among NoV strains, GⅡ.4 [P16] was the most prevalent, followed by GⅡ.4 [P31]. In fecal samples, GⅠ group strains included GⅠ.3 [P13] and GⅠ.1 [P1]. One SaV strain of GⅡ.5 was identified. For AstV, three strains of HAstV-1a and one strain of HAstV-5 were detected. Among AdV strains, three were identified as HAdV-41, three as HAdV-2, one as HAdV-1, and one as HAdV-5.Conclusion The pathogenic genes of viral diarrhea in Jilin Province are diverse, the dominant strains of RV have changed, and domestic sewage contains a variety of diarrhea viruses.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

BackgroundStudents in secondary vocational health school are at the age of puberty and prone to depressive symptoms. Peer victimization and social media addiction are found to be crucial in influencing the development of depression， and positive mental health has been proven to alleviate depressive symptoms， whereas there remains a striking lack of research on the mediating role of positive mental health and social media addiction in the relationship between peer victimization and depressive symptoms among secondary vocational health school students. ObjectiveTo explore the relationship between peer victimization and depressive symptoms and investigate the mediating role of positive mental health and social media addiction， so as to provide references for the prevention of depression among secondary vocational health school students. MethodsFrom October to December 2020， a cluster sampling framework was utilized to recruit 7 307 students from a secondary vocational health school in Luzhou City， Sichuan Province. Assessments were performed using Multidimensional Peer Victimization Scale （MPVS）， Warwick-Edinburgh Mental Well-being Scale （WEMWBS）， Bergen Social Media Addiction Scale （BSMAS） and Patient Health Questionnaire Depression Scale-9 item （PHQ-9）. Spearman correlation analysis was calculated to determine correlations between scores of scales， Process 4.0 was employed to test the mediation effect， and the bias-corrected Bootstrap procedure was used to test the significance of the mediation effect. ResultsA total of 7 044 （96.40%） valid questionnaires were collected. And 4 391（62.34%）students were found to have depressive symptoms. Correlation analysis revealed that PHQ-9 score was positively correlated with BSMAS score and MPVS score （r=0.404， 0.506， P<0.01）. WEMWBS score was negatively correlated with PHQ-9 score， BSMAS score and MPVS score （r=-0.587， -0.259， -0.358， P<0.01）. BSMAS score was positively correlated with MPVS score （r=0.328， P<0.01）. Positive mental health played a mediating role in the relationship between peer victimization and depressive symptoms， with an indirect effect value of 0.130 （95% CI： 0.119~0.141）， accounting for 30.81% of the total effect. Social media addiction also mediated the relationship between peer victimization and depressive symptoms， with an indirect effect value of 0.052 （95% CI： 0.045~0.059）， accounting for 12.34% of the total effect. Positive mental health and social media addiction exhibited a chained mediation effect on the relationship between peer victimization and depressive symptoms， with an indirect effect value of 0.012 （95% CI： 0.010~0.014） and accounting for 2.84% of the total effect. ConclusionPeer victimization can affect the presence of depressive symptoms among secondary vocational health school students both directly and indirectly through either separate or chained mediation of positive mental health and social media addiction.

Ferroptosis, a programmed cell death modality discovered and defined in the last decade, is primarily induced by iron-dependent lipid peroxidation. At present, it has been found that ferroptosis is involved in various physiological functions such as immune regulation, growth and development, aging, and tumor suppression. Especially its role in tumor biology has attracted extensive attention and research. Breast cancer is one of the most common female tumors, characterized by high heterogeneity and complex genetic background. Triple negative breast cancer (TNBC) is a special type of breast cancer, which lacks conventional breast cancer treatment targets and is prone to drug resistance to existing chemotherapy drugs and has a low cure rate after progression and metastasis. There is an urgent need to find new targets or develop new drugs. With the increase of studies on promoting ferroptosis in breast cancer, it has gradually attracted attention as a treatment strategy for breast cancer. Some studies have found that certain compounds and natural products can act on TNBC, promote their ferroptosis, inhibit cancer cells proliferation, enhance sensitivity to radiotherapy, and improve resistance to chemotherapy drugs. To promote the study of ferroptosis in TNBC, this article summarized and reviewed the compounds and natural products that induce ferroptosis in TNBC and their mechanisms of action. We started with the exploration of the pathways of ferroptosis, with particular attention to the System X_c^--cystine-GPX4 pathway and iron metabolism. Then, a series of compounds, including sulfasalazine (SAS), metformin, and statins, were described in terms of how they interact with cells to deplete glutathione (GSH), thereby inhibiting the activity of glutathione peroxidase 4 (GPX4) and preventing the production of lipid peroxidases. The disruption of the cellular defense against oxidative stress ultimately results in the death of TNBC cells. We have also our focus to the realm of natural products, exploring the therapeutic potential of traditional Chinese medicine extracts for TNBC. These herbal extracts exhibit multi-target effects and good safety, and have shown promising capabilities in inducing ferroptosis in TNBC cells. We believe that further exploration and characterization of these natural compounds could lead to the development of a new generation of cancer therapeutics. In addition to traditional chemotherapy, we discussed the role of drug delivery systems in enhancing the efficacy and reducing the toxicity of ferroptosis inducers. Nanoparticles such as exosomes and metal-organic frameworks (MOFs) can improve the solubility and bioavailability of these compounds, thereby expanding their therapeutic potential while minimizing systemic side effects. Although preclinical data on ferroptosis inducers are relatively robust, their translation into clinical practice remains in its early stages. We also emphasize the urgent need for more in-depth and comprehensive research to understand the complex mechanisms of ferroptosis in TNBC. This is crucial for the rational design and development of clinical trials, as well as for leveraging ferroptosis to improve patient outcomes. Hoping the above summarize and review could provide references for the research and development of lead compounds for the treatment for TNBC.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Epidermal growth factor receptor-tyrosine kinase inhibitor （EGFR-TKI） represent a class of small-molecule targeted therapeutics for oncology treatment， and serve as first-line therapy for advanced non-small cell lung cancer （NSCLC） with EGFR- sensitive mutations， with representative agents including gefitinib， dacomitinib， and osimertinib. In clinical practice， dose adjustment of EGFR-TKI may be required for cancer patients under special circumstances such as drug combinations or hepatic/ renal impairment. Physiologically-based pharmacokinetic （PBPK） model， capable of predicting pharmacokinetic （PK） processes in humans， has emerged as a vital tool for clinical dose optimization. This article sorts the modeling methodologies， workflows， and commonly used software tools for PBPK model， and summarizes the current applications of PBPK model in EGFR-TKI precision therapy as of June 30， 2024. Findings demonstrate that PBPK modeling methods commonly employ the “bottom-up” approach and the middle-out approach. The process typically involves four steps： parameter collection， compartment selection， model validation， and model application. Commonly used software for modeling includes Simcyp， GastroPlus， and open-source software such as PK- Sim. PBPK model can be utilized for predicting drug-drug interactions of EGFR-TKI co-administered with metabolic enzyme inducers or inhibitors， acid-suppressive drugs， or traditional Chinese and Western medicines. It can also adjust dosages in conjunction with genomics， predict PK processes in special populations （such as patients with liver or kidney dysfunction， pediatric patients）， evaluate the efficacy and safety of drugs， and extrapolate PK predictions from animal models to humans.

The pathogenesis of chronic wound healing is complex. It is often difficult to heal due to a long course of disease， difficulty in treatment， and it seriously affects the quality of life in patients. The active ingredients， couplet medicinals， and compound formulas of traditional Chinese medicine （TCM） possess unique advantages in the treatment of chronic wound healing. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway is extremely critical in the treatment of chronic wound healing by regulating a series of biological processes， including cell apoptosis， angiogenesis， and inflammatory responses. This article reviews the relevant research on the regulation of the PI3K/Akt signaling pathway by TCM to promote chronic wound healing. It has been found that the active ingredients of TCM （such as geniposide， astragaloside， and ginsenosides， etc.）， and compound formulas （such as Chonghe ointment， Huanglian ointment， Shirun shaoshang ointment， etc.） mainly reduce inflammatory responses， promote angiogenesis， regulate cell autophagy， and accelerate wound healing by activating the PI3K/Akt signaling pathway； at the same time， there are also a few couplet medicinals（ such as Huangqi-Honghua） and compound formulas （such as Xiangpi Shengji ointment） that exert anti-inflammatory effects by inhibiting this signaling pathway， to promote wound healing.

Severe trauma has high morbidity and mortality rates, being the leading cause of death in young adults. Among all traumas, traffic injuries are particularly lethal.[1-2] The injury severity score (ISS) can be used to assess trauma severity, with ISS of <9, 9-15, 16-24, and ≥25 indicating minor, moderate, severe, and critical trauma, respectively. The ISS is correlated with mortality, morbidity, and hospitalization duration after injury.[3-4] Here, we report one patient who was admitted to our emergency intensive care unit (EICU) due to traumatic liver rupture and traumatic myocardial infarction complicated with inferior vena cava (IVC) thrombosis.

Objective To investigate the role and signaling pathway mechanism of Orosomucoid-1（ORM1）in hepatocyte proliferation. Methods The expression data of ORM1 after liver resection from the GEO database were analyzed. The effects of ORM1 on hepatocyte proliferation were assessed after overexpressing ORM1 or supplementing exogenous ORM1 in liver cells. Cell proliferation was evaluated by the CCK8 assay. RNA sequencing （RNA-seq） was performed on liver tissues from ORM1 knockout mice and wildtype littermates to analyze gene expression, and KEGG enrichment analysis was employed to explore the molecular mechanisms by which ORM1 regulates hepatocyte proliferation. Results After partial liver resection in mice, ORM1 expression increased during the liver regeneration process. In vitro, ORM1 promoted the proliferation of murine Hepa1-6 hepatocytes and human HepG2 hepatocellular carcinoma cells. RNA-seq analysis of liver tissues from ORM1 knockout mice indicated that ORM1 influenced several proliferation-related pathways, including the PI3K-Akt, MAPK, Hippo, and Jak-Stat pathways. Upon ORM1 knockout, the expression of pro-proliferative genes such as Ctgf, Tcf7, Tead1, Il6ra, and Lepr decreased, while the expression of anti-proliferative genes such as Cish and Gadd45a increased. Conclusion ORM1 may promote hepatocyte proliferation by regulating key genes in cell proliferation-related pathways, including the PI3K-Akt, MAPK, Hippo and Jak-Stat pathways.

Cataract surgery is one of the most common ophthalmologic procedures. Advances in technology and medical policies have made it more precise. Residual refractive errors and deviation of target diopters are a main cause of dissatisfaction among patients. Refractive enhancement after cataract surgery can correct or eliminate these errors, improving patients' visual quality of life. There are multiple options for correcting residual refractive errors. The best approach depends on factors like the cause of the error, degrees of residual refractive errors, type of intraocular lens, ocular comorbidities, and patient preference. This paper summarizes the incidence and types of residual refractive errors, advancements in refractive enhancement surgeries, and provides practical solutions for clinical practice.