Platelets are small, anucleated cells generated by cytoplasmic fragmentation and shedding from mature megakaryocytes. Upon vascular stimulation or injury, platelets become activated and adhere to exposed vascular endothelial cells, ultimately forming thrombi to promote blood coagulation and wound healing. In recent years, increasing evidence from in-depth studies on platelet function has revealed that autophagy plays a crucial role in platelet production and functional performance. Autophagy is an intracellular process of material recycling and reuse, involving autophagosome formation, cargo degradation, and nutrient recycling, which facilitates the maintenance of homeostasis and defense against pathogen infection. Numerous studies have demonstrated that autophagy participates in the regulation of platelet production, activation, and aggregation, and is closely implicated in the pathogenesis of platelet dysfunction-related diseases such as immune thrombocytopenia. Additionally, platelet-rich plasma therapy, by modulating the autophagic process, has shown great potential in treating osteoarthritis and promoting diabetic foot wound healing. This review thoroughly explores the potential roles of autophagy in regulating platelet production and function, as well as in platelet-related diseases. Future research should focus on the molecular mechanisms of platelet autophagy, investigate its dynamic changes under different disease conditions, and explore how autophagy modulation can improve platelet function and treat related diseases. This will provide a theoretical foundation for developing novel therapeutic strategies and is expected to bring breakthroughs in the treatment of platelet-related diseases.

Objective:To explore the application effect of interventional teaching in undergraduate nursing internship in operating rooms.Methods:A total of 98 undergraduate nursing students who worked as interns in the operating room during the two school years from June 2022 to February 2024 were selected as research subjects. Students who entered the program from June 2022 to February 2023 were enrolled into control group (50 students), and those who entered from June 2023 to February 2024 were enrolled into experimental group (48 students). The students conducted their internships in batches (with 4 to 5 students per subgroup) following a departmental rotation mechanism. The control group received routine teaching, while the experimental group received interventional teaching. At the end of the internship, the two groups were compared for their performance, including basic and specialized knowledge, skills, theory, and operation; patient reception, tripartite verification, and intraoperative cooperation for planned video-assisted thoracoscopic bullectomy; and their degrees of satisfaction with the teaching. The t-test was performed using SPSS 26.0. Results:The experimental group achieved significantly higher theoretical scores than the control group [(91.69±4.51) vs. (74.52±6.06)]. Meanwhile, the experimental group was significantly superior to the control group in operational performance, including surgical hand disinfection [(96.08±1.93) vs. (92.14±3.07)] and wearing and removing sterile surgical gowns and sterile gloves [(97.00±1.75) vs. (94.10±3.48)). In terms of specialized knowledge and skills, specifically, patient reception and third-party verification in simulated surgical nursing, the experimental group achieved higher scores than the control group [(98.77±0.69) vs. (94.04±2.56); (98.54±0.65) vs. (94.64±2.65)]. In terms of intraoperative cooperation, the experimental group showed a slight advantage over the control group. The experimental group had higher degrees of satisfaction with teaching than the control group, including course design, implementation methods, course arrangement, teaching attitude, teaching methods, degree of participation, gains, and assistance.Conclusions:After adopting interventional teaching, the teaching effect for nursing internship in operating rooms is better. It improves the various assessment scores of nursing students, enhances their comprehensive abilities and degrees of satisfaction with teaching, and reinforces the teaching abilities in operating rooms.

BACKGROUND:Photoresponsive nanomaterials offer the combined advantages of nanomaterials and the unique benefits of light responsiveness.They find extensive applications in biomedical fields like tissue regeneration,biological imaging,disease diagnosis,drug delivery,and targeted therapy,making them a research hotspot in the field of functional materials.OBJECTIVE:To summarize the advantages and research progress of photoresponsive nanomaterials in bone tissue regeneration.METHODS:CNKI and PubMed databases were searched using the main English search terms"light-responsive,photoresponsive,nanomaterials,bone defect,bone regeneration,osteogenesis,osseointegration"and main Chinese search terms"light-responsive,nanomaterials,bone defect,bone regeneration,osseointegration."Relevant literature was selected based on inclusion and exclusion criteria,resulting in the inclusion of 59 articles for review.RESULTS AND CONCLUSION:The surface morphology of photoresponsive nanomaterials can promote bone tissue regeneration by directly modulating the gene expression and biological behavior of osteoblasts and indirectly regulating immune-related cells behavior.Photoresponsive nanomaterials can be utilized for photothermal and photodynamic antibacterial purposes to facilitate the repair of infectious bone defects.Mild photothermal stimulation generated by photoresponsive nanomaterials can effectively enhance osteogenesis by upregulating the expression and functionality of osteogenic-related genes and proteins.Photoresponsive nanomaterials can produce electrons under light exposure,thereby achieving non-invasive promotion of bone tissue regeneration by modulating local cellular potential changes.Drug release systems based on photoresponsive nanomaterials can undergo structural changes under specific light sources to promote drug release,providing targeted therapeutic strategies for bone tissue regeneration.

BACKGROUND:Photoresponsive nanomaterials offer the combined advantages of nanomaterials and the unique benefits of light responsiveness.They find extensive applications in biomedical fields like tissue regeneration,biological imaging,disease diagnosis,drug delivery,and targeted therapy,making them a research hotspot in the field of functional materials.OBJECTIVE:To summarize the advantages and research progress of photoresponsive nanomaterials in bone tissue regeneration.METHODS:CNKI and PubMed databases were searched using the main English search terms"light-responsive,photoresponsive,nanomaterials,bone defect,bone regeneration,osteogenesis,osseointegration"and main Chinese search terms"light-responsive,nanomaterials,bone defect,bone regeneration,osseointegration."Relevant literature was selected based on inclusion and exclusion criteria,resulting in the inclusion of 59 articles for review.RESULTS AND CONCLUSION:The surface morphology of photoresponsive nanomaterials can promote bone tissue regeneration by directly modulating the gene expression and biological behavior of osteoblasts and indirectly regulating immune-related cells behavior.Photoresponsive nanomaterials can be utilized for photothermal and photodynamic antibacterial purposes to facilitate the repair of infectious bone defects.Mild photothermal stimulation generated by photoresponsive nanomaterials can effectively enhance osteogenesis by upregulating the expression and functionality of osteogenic-related genes and proteins.Photoresponsive nanomaterials can produce electrons under light exposure,thereby achieving non-invasive promotion of bone tissue regeneration by modulating local cellular potential changes.Drug release systems based on photoresponsive nanomaterials can undergo structural changes under specific light sources to promote drug release,providing targeted therapeutic strategies for bone tissue regeneration.

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）］

OBJECTIVES: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndromes in intrahepatic cholestasis of pregnancy （ICP） and its association with perinatal outcomes， and to provide a basis for precise treatment based on TCM syndrome differentiation. MethodsA cross-sectional study was conducted among 275 patients with ICP who were admitted to The Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from April 2023 to April 2025. A hierarchical cluster analysis was used to summarize TCM syndromes. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups， and the chi-square test was used for comparison of categorical data between groups. A multivariate Logistic regression analysis was used to identify the clinical features significantly associated with TCM syndrome. ResultsThe cluster analysis identified three core TCM syndromes among the 275 patients with ICP， i.e.， liver-gallbladder damp-heat syndrome （45.8%）， syndrome of blood deficiency generating wind （30.9%）， and liver depression and spleen deficiency syndrome （23.3%）. There was a significant difference in the distribution of TCM syndromes between different groups stratified by maternal age at delivery， parity， history of ICP recurrence， gestational weeks at disease onset， total bile acid （TBA）， alanine aminotransferase （ALT）， and comorbidity with gestational diabetes mellitus （GDM） （all P<0.05）. The multivariate Logistic regression analysis showed that<34 gestational weeks at disease onset was significantly associated with all three syndromes （damp-heat： odds ratio ［OR］=3.769， P<0.001； blood deficiency： OR=4.031， P<0.001； liver stagnation： OR=3.552， P<0.001）. Liver-gallbladder damp-heat syndrome was associated with maternal age ≥35 years at disease onset （OR=2.048， P=0.014）， parity ≥2 times （OR=1.921， P=0.034）， history of ICP recurrence （OR=2.404， P=0.030）， ALT ≥200 U/L （OR=2.051， P=0.018）， comorbidity with GDM （OR=1.944， P=0.029）， and TBA ≥40 μmol/L （OR=2.542， P=0.024）. The syndrome of blood deficiency generating wind syndrome was associated with maternal age ≥35 years （OR=2.939， P=0.003）， parity ≥2 time （OR=3.222， P=0.003）， history of ICP recurrence （OR=3.809， P=0.010）， ALT ≥200 U/L （OR=2.889， P=0.006）， comorbidity with GDM （OR=3.711， P=0.001）， and comorbidity with hypertensive disorders of pregnancy （OR=4.472， P=0.011）. Liver depression and spleen deficiency syndrome was associated with TBA ≥40 μmol/L （OR=2.995， P=0.044）. The analysis of perinatal outcomes showed that there were significant differences in mode of delivery， gestational weeks at the time of delivery， postpartum blood loss， and neonatal birth weight between the three groups with different TCM syndromes （all P<0.05）. ConclusionLiver-gallbladder damp-heat syndrome， syndrome of blood deficiency generating wind， and liver depression and spleen deficiency syndrome are the main TCM syndrome types in ICP， and the distribution of TCM syndromes is closely associated with clinical factors and perinatal outcomes， which provides a basis for precise TCM syndrome differentiation and individualized treatment.

Objective:To analyze the clinical features and genetic sequencing results of a patient with Kallmann syndrome(KS) carrying digenic mutations who initially presented with osteoporosis, and to enhance awareness of this disease phenotype.Methods:Clinical data were collected, and peripheral blood DNA was extracted for whole-exome sequencing. Relevant literature was reviewed to summarize phenotypes associated with digenic/oligogenic variants involving CHD7.Results:The patient exhibited back pain, delayed development of secondary sexual characteristics, and hyposmia. Laboratory tests revealed reduced sex hormones and gonadotropin levels, while pituitary imaging was unremarkable. Bone mineral density imaging confirmed osteoporosis, and thoracolumbar X-rays showed multiple vertebral compression fractures. Genetic analysis identified a heterozygous splice-site mutation in CHD7(c.2698-1G>T) and a heterozygous missense mutation in WDR11(c.439G>A: p.D147N). According to ACMG criteria, the CHD7 mutation was classified as pathogenic, while the WDR11 variant was defined as a variant of uncertain significance(VUS). Literature review indicated that 40% of KS patients with digenic/oligogenic variants involving CHD7 presented with hearing or ocular abnormalities.Conclusion:This study reports a novel CHD7 mutation and a previously undescribed digenic combination of CHD7 and WDR11 variants in a KS patient. CHD7 variants may be implicated in auditory or ocular involvement in KS cases with digenic/oligogenic inheritances. KS patients may also manifest skeletal abnormalities in addition to hypogonadotropic hypogonadism. Tailored management of sex hormones and osteoporosis therapies across life stages is essential for optimizing bone health in KS.

Objectives To construct frailty risk prediction models based on logistic regression anal-ysis,decision tree and random forest algorithm in elderly patients with heart failure(HF),and to compare the predictive performance of three models.Methods A total of 426 elderly HF patients hospitalized in the Affiliated Hospital of Nantong University from September 2022 to October 2023 were selected using convenience sampling.Based on the results of frailty assessment,194 of them were classified into the frail group and the other 232 into the non-frail group.The 426 patients were divided into training(299 casses)and testing sets(127 cases)in a 7∶3 ratio.Three prediction models were then constructed in the training set,while the test set was used to validate the results.Area under curve and confusion matrix were used to measure performance of the mod-els.The optimal model was then selected by evaluating the performance on the testing set.Results The area under curve value of the logistic regression model,decision tree model and random forest model in the testing set was 0.898,0.825 and 0.903,with a classification accuracy of 84.25％,77.95％and 83.46％,a sensitivity of 82.76％,68.97％and 82.76％,a specificity of 85.51％,85.51％and 84.06％,a positive predictive value of 82.76％,80.00％and 81.36％,and a negative predictive value of 85.51％,76.62％and 85.29％,respectively.The factors that ultimately affecting frailty in elderly HF patients were age,left atrial diameter,depression,albumin,physical activity level and social support.Conclusion Among the three prediction models,the logistic regression model demonstrates best predictive performance for frailty risk in elderly HF patients than the decision tree and random forest models.

Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.