Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Diabetic cataract is a prevalent and severe complication of diabetes mellitus. Its pathogenesis is complex and driven by multiple metabolic disorders. Conventional research methods are insufficient to fully clarify its complex pathophysiological processes. As a high-throughput and unbiased systems biology approach, metabolomics allows comprehensive profiling of small-molecule metabolites in biological systems, serving as a robust tool for exploring the metabolic signatures underlying this disease. This review systematically summarizes recent progress in the application of metabolomics to diabetic cataract research, with a focus on technological innovations in sample pretreatment, data acquisition, and bioinformatics analysis. This article elaborates on how these advances contribute to the identification of disease-specific biomarkers, the clarification of intrinsic molecular mechanisms, and the discovery of potential therapeutic targets, ultimately advancing the translational application of metabolomics in the early clinical diagnosis, prognostic assessment, and development of innovative therapeutic strategies for diabetic cataract.

This study aims to investigate the isolate and identify of infectious bronchitis virus(IBV)in chickens,and study its genetic variation and pathogenicity.In 2023,two strains named CK/CH/HN/SQ202301 and CK/CH/HN/SQ202302 were obtained from suspected infectious bronchitis(IB)infected materials collected in a region of Henan Province,China.Further analysis showed that the two isolates belong to the G Ⅰ-13 and GⅥ genotypes,respectively.The cleavage sites of S protein were all RRSRR.The prediction of glycosylation sites showed that the two isolates had 18 and 12 N-glycosylation sites respectively,but no O-glycosylation site.Recombinant analysis shows that C2023-1 was a recombinant strain.Pathogenicity was assessed by infecting 1-day-old SPF chicks with the two isolates,and the results showed that C2023-1 strain infection could cause clini-cal symptoms such as depression and head shaking,as well as death in chicks,with a mortality rate of 37.5％.There were no clinical symptoms or deaths after infection with C2023-2 strain.Viral load test results showed that both isolates continued to detoxify until the 10th day,and had strong rep-lication capacity in the kidney,trachea and bursa of Fabricius.The results indicate significant differences in the genetic characteristics and pathogenicity of the two isolates due to their different genotypes.This study not only provides new epidemiological data on IB,which contributes to a bet-ter understanding of IBV's epidemiological features and control challenges,but also adds valuable bioinformatics resources for IBV by analyzing its variation mechanisms and biological information.

Objective To develop a platform for reporting medication near miss events and evaluate its application effectiveness,aiming to enhance medication safety of patients.Methods Based on literature review,qualitative interviews,and expert group meetings,a medication near-miss event reporting platform was constructed,including 4 modules:event content filling,event risk grading,event handling,and statistical analysis.50 nurses were conveniently selected from the pediatric ward of a tertiary grade A hospital in Henan Province as the application subjects.The reporting situation and filling duration of medication near miss events,the score of the Medication Near Miss Reporting Disorder Scale,and the incidence of medication near miss events were compared after the application of the platform(from March to August 2023)and before the application(from September 2022 to February 2023).Results The reporting rate of medication near miss events after the application of the platform was higher than that before the application of the platform,and the comparison of the distribution of event nature and occurrence links showed statistically significant differences(P＜0.05).After the application of the platform,the reporting duration of medication near miss events was shorter than that before the application of the platform,and the score of the Medication Near Miss Reporting Disorder Scale was lower than that before the application of the platform.The differences were statistically significant(P＜0.001).There was no statistically significant difference in the incidence of medication near miss events before and after the application of the platform(P=0.241).Conclusion Using this platform can help improve the reporting rate of medication near miss events,reduce the time taken to fill out reports,and minimize reporting barriers for nurses.

Objective:To observe the effect of point injection at Zusanli(ST36)plus abdominal point application on gastrointestinal dysfunction after laparoscopic surgery.Methods:A total of 204 patients with gastrointestinal dysfunction after laparoscopic surgery were recruited and divided into four groups using the random number table method,with 51 cases in each group.The control group received conventional postoperative intervention.In addition to the treatment in the control group,the point injection group was given point injection at Zusanli(ST36),the application group was offered abdominal point application,and the integrated group received point injection at Zusanli(ST36)and abdominal point application.The treatment lasted 3 consecutive days in all four groups.The recovery time of gastrointestinal function indicators and the incidence rate of postoperative nausea and vomiting(PONV)were observed and recorded.Before and after treatment,the visual analog scale(VAS)was used to assess abdominal pain intensity,the venous blood type 1 helper T cells/type 2 helper T cells(Th1/Th2)was determined,the serum levels of interleukin(IL)-6 and interferon(IFN)-γ were detected using the enzyme-linked immunosorbent assay,and the plasma levels of motilin and gastrin were measured using radioimmunoassay.Results:Compared to the control group,the first exhaust time,the first defecation time,and the time of restoring fluid diet came earlier in the other three groups(P<0.05)and were earlier in the integrated group than in the point injection and application groups(P<0.05).The point injection,application,and integrated groups had a lower PONV incidence rate than the control group,and the integrated group was lower than the point injection and application groups(P<0.05).The intra-group comparisons showed that the VAS score and the levels of IL-6 and INF-γ decreased after treatment in all four groups(P<0.05);the point injection,application,and integrated groups were lower than the control group(P<0.05),and the integrated group was lower than the point injection and application groups(P<0.05).The intra-group comparisons also demonstrated that the levels of Th1/Th2,motilin,and gastrin increased after the intervention in the four groups(P<0.05);the point injection,application,and integrated groups were higher than the control group(P<0.05),and the integrated group was higher than the point injection and application groups(P<0.05).Conclusion:Point injection at Zusanli(ST36)plus abdominal point application can encourage postoperative exhaust,defecation,and the recovery of diet fluid,alleviate postoperative abdominal pain,reduce PONV,balance Th1/Th2,and regulate the secretion of motilin and gastrin in patients with gastrointestinal dysfunction after laparoscopic surgery.

The clinical characteristics, diagnosis and treatment process of a patient with type Ⅰ sialidosis (ST-1) caused by a homozygous mutation in the NEU1 gene who was missed diagnosis for 5 years were retrospectively analyzed to improve the understanding of the disease. A 16-year-old female patient presented with episodic limb shaking for more than 5 years and single generalised tonic-clonic seizure. Electroencephalogram (EEG) tests conducted at external hospital did not show any abnormalities, and head magnetic resonance imaging (MRI) showed general normality. Multiple antiepileptic drugs could not control the attack and the symptoms gradually worsened. After admission, the patient was found to have symptoms of easy wrestling and decreased vision, as well as signs of nystagmus and ataxia. The reexamination of the EEG showed extensive spike-and-slow complexes, and the brain MRI showed cerebellar atrophy. Furthermore, the whole-exome gene testing revealed the c.544A>G homozygous mutation in the NEU1 gene, leading to the diagnosis of ST-1. Levetiracetam tablets and clonazepam were given to improve the patient′s symptoms. During the follow-up, sleep improved compared to before, and myoclonus was significantly reduced. Therefore, patients with recurrent myoclonus, ataxia, and visual impairment without cognitive impairment should be aware of the possibility of sialidosis. Genetic testing plays an important role in the diagnosis of sialidosis.

Drug addiction,also referred to as drug dependence or substance use disorder,is a chronic and recurrent brain disease.Its main characteristics are compulsive drug-seeking behavior,continued use of drugs,and a loss of control over intake.Prolonged use of addictive substances can result in both physiological and psychological dependence.When usage is ceased,individuals may experience intense discomfort,including anxiety,insomnia,nausea,vomiting,and a strong craving for the substances.Drug dependence is classified into two types:physical dependence and psychological dependence.Physical dependence describes a pathological state of adaptation that results from the repeated use of addictive substances,leading to severe withdrawal syndrome upon cessation.Psychological dependence involves a mental craving for addictive substances,which is needed to experience the specific euphoria that follows consumption.Regular or continuous use is required to sustain these euphoric effects.The mechanisms of addiction are complex and influenced by genetic,environmental,and various other factors.They involve higher-level neurological activities,such as memory,reward,and decision-making.Currently,effective treatment methods for drug addiction are insufficient.Due to the complexity of drug addiction,laboratory animal research is essential.Using animal behavioral models to simulate human drug addiction can enhance our understanding of the mechanisms of addiction.This research offers a comprehensive overview of various animal experimental models that explore both physical and psychological dependence.It includes detailed descriptions of the methods and procedures used to assess physical dependence,behavioral sensitization,conditioned place preference,drug discrimination,and self-administration experiments.Additionally,the characteristics of each experimental model are compared,and the relevance of these models is discussed,aiming to provide support for the research on addiction mechanisms and the development of therapeutic methods.

Drug addiction,also referred to as drug dependence or substance use disorder,is a chronic and recurrent brain disease.Its main characteristics are compulsive drug-seeking behavior,continued use of drugs,and a loss of control over intake.Prolonged use of addictive substances can result in both physiological and psychological dependence.When usage is ceased,individuals may experience intense discomfort,including anxiety,insomnia,nausea,vomiting,and a strong craving for the substances.Drug dependence is classified into two types:physical dependence and psychological dependence.Physical dependence describes a pathological state of adaptation that results from the repeated use of addictive substances,leading to severe withdrawal syndrome upon cessation.Psychological dependence involves a mental craving for addictive substances,which is needed to experience the specific euphoria that follows consumption.Regular or continuous use is required to sustain these euphoric effects.The mechanisms of addiction are complex and influenced by genetic,environmental,and various other factors.They involve higher-level neurological activities,such as memory,reward,and decision-making.Currently,effective treatment methods for drug addiction are insufficient.Due to the complexity of drug addiction,laboratory animal research is essential.Using animal behavioral models to simulate human drug addiction can enhance our understanding of the mechanisms of addiction.This research offers a comprehensive overview of various animal experimental models that explore both physical and psychological dependence.It includes detailed descriptions of the methods and procedures used to assess physical dependence,behavioral sensitization,conditioned place preference,drug discrimination,and self-administration experiments.Additionally,the characteristics of each experimental model are compared,and the relevance of these models is discussed,aiming to provide support for the research on addiction mechanisms and the development of therapeutic methods.

Objective:To establish a machine learning-based risk prediction model for perimenopausal depressive symptoms and to identify associated risk factors.Methods:A total of 1 105 women aged 45 to 55 years were selected from the 2020 China Health and Retirement Longitudinal Study (CHARLS) dataset.Three machine learning algorithms, including Random Forest, XGBoost and Adaptive Boosting (AdaBoost), were employed to construct prediction models for perimenopausal depressive symptoms. Descriptive statistics and between-group comparisons were performed using SPSS 24.0.And Python 3.10 software was used to build the risk prediction model. Model performance was assessed using receiver operating characteristic (ROC) curves and calibration plots, and the optimal model was identified accordingly. The Shapley additive explanation (SHAP) algorithm was then used to analyze feature importance and the influence of each predictor on the outcome.Results:Among the 1 105 perimenopausal women, 671(60.7%)were categorized in the non-depressive group and 434 (39.3%) in the depressive group. The Random Forest model demonstrated the best overall predictive performance among the three machine learning models, achieving an area under the ROC curve (AUC) of 0.793 and a calibration error of 0.181. SHAP analysis revealed that annual household income was the strongest risk factor in the Random Forest model, with a relative importance of 0.048, followed by cognitive function(0.047), self-rated health status(0.046), life satisfaction(0.043), sleep duration(0.041).Conclusions:The Random Forest based model effectively predicts the risk of perimenopausal depressive symptoms. Annual household income, cognitive function, self-rated health, and life satisfaction are risk factors for depressive symptoms in perimenopausal women.

To verify whether the two B-cell epitopes Pep1 and Pep4 in the FAdV-4 WZ fiber can be used as candidate epitopes for multivalent epitope vaccines,epitopes Pep1 and Pep4 were tandemly linked with the chicken infectious bronchitis virus strain M41 S1 protein gene in different patterns,and a recombinant fusion plasmid was constructed and expressed in E.coli BL21(DE3).It was confirmed by Western blot and ELISA tests that all four expressed fusion proteins reacted specific-ally with anti-M41 whole virus serum and WZ strain anti-Fiber 2-knob protein serum.After purifi-cation and immunization of BALB/c mice,specific antibodies against the peptide epitopes were de-tected in mouse sera.The results showed that the Pep4 epitope induced a stronger immune re-sponse than the Pep1 epitope.When Pep1 was connected with the amino and carboxyl termini of the fusion protein,respectively,both resulted in the production of the same level of anti-Pep1 anti-bodies in the immunized animals,whereas when Pep4 was connected with the carboxyl terminus of the fusion protein,the immunized animals produced a higher level of anti-Pep4-specific antibodies.This research indicates that the B cell epitopes Pep1 and Pep4 of the reactive WZ strain Fiber 2,when conjugated with proteins to form fusion proteins,can enhance the immunogenicity of Pep1 and Pep4 without affecting the antigenicity of the carrier protein.This study provides technical support and serves as a reference for the design and development of a multivalent epitope vaccine for FAdV-4.