BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

OBJECTIVE To analyze the occurrence characteristics and risk factors of adverse drug reactions （ADR） of gemcitabine for injection in national centralized volume-based procurement （hereinafter referred to as “centralized procurement”）， and provide reference for clinical safe drug use. METHODS A retrospective study was conducted to collect the relevant case reports of gemcitabine for injection reported to the National Adverse Drug Reaction Monitoring System by Inner Mongolia Autonomous Region from January 2022 to December 2023； basic information of patients， drug use status， patient outcomes， rational drug use and other information were collected， and the occurrence characteristics of ADRs with leukopenia， myelosuppression， neutropenia， thrombocytopenia and liver dysfunction were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the correlation of gender， age， combination of antitumor drugs， original malignant tumor and drug dose with ADR. RESULTS A total of 315 cases reports （315 patients） of gemcitabine-induced ADR were included in this study， with a male-to-female ratio of 1.42∶1 and age of （61.17±9.13） years. The primary malignant tumor was pancreatic cancer （73 cases， 23.17%）. Leukopenia， myelosuppression and nausea were the most common ADR， followed by neutropenia， thrombocytopenia， liver dysfunction and so on. The severity grade of ADR was mainly 1-2， and the outcome of most ADR was good. Multivariate Logistic regression analysis showed that combination of antitumor drugs was a risk factor for myelosuppression and neutropenia （RR＝2.154， 95%CI： 1.218- 3.807， P＝0.008； RR＝3.099， 95%CI： 1.240-7.744， P＝0.016）； gender （female） was a risk factor for leukopenia and liver dysfunction （RR＝0.508， 95%CI： 0.302-0.853， P＝0.010； RR＝0.301， 95%CI： 0.102-0.887， P＝0.029）. In terms of drug use rationality， there were 143 cases （45.40%） of drug 126.com use in accordance with the indications of the label， and 172 cases （54.60%） of off-label drug use. Among them， the primary malignant tumors were bladder cancer， bile duct cancer and ovarian cancer， which ranked the top three off-label drug use. CONCLUSIONS The ADR caused by gemcitabine in Inner Mongolia is mainly in the blood and digestive systems. The severity of ADRs is mainly classified as 1-2 levels， and most ADRs have good outcomes. Gender （female） and combination medication are risk factors for gemcitabine-induced ADR. Appropriate chemotherapy regimen should be selected according to the patient’s condition and physical condition， and ADR monitoring in blood and digestive systems should be strengthened during medication of gemcitabine.

Central retinal vein occlusion(CRVO)is a retinal vascular disorder that significantly impairs vision, with its underlying mechanisms involving complex interactions across multiple biological systems. This article provides a systematic review of the pathological mechanisms associated with CRVO, emphasizing critical factors such as endothelial dysfunction, arteriosclerosis, thrombophilia, inflammation, and oxidative stress. The pathological mechanisms of CRVO are characterized by arteriosclerosis, which obstructs venous return through a dual mechanism involving mechanical compression and endothelin-1-mediated contraction; endothelial dysfunction, which exacerbates disturbances in blood flow; genetic and acquired coagulation abnormalities that disrupt hemostatic balance and promote thrombosis; and the synergistic effects of inflammation and oxidative stress that activate cytokines, thereby aggravating ischemia and vascular leakage. Innovatively, this review explores emerging mechanisms such as miRNA-mediated vascular regulation via exosomes, gut microbiota-retina crosstalk through the “gut-eye axis,” and systemic metabolic interactions that link local retinal lesions to broader dysregulation of CRVO. These insights underscore the importance of integrated eye-system interventions and provide a theoretical foundation for advancing early biomarker discovery, multitarget therapeutics, and personalized treatment paradigms. By bridging localized pathology and systemic mechanisms, this work promotes a transformative shift toward an integrative medicine model in the diagnosis and management of CRVO.

Central nervous system（CNS） disorders are characterized by complex pathological mechanisms and the presence of the blood-brain barrier（BBB）， which significantly limits the effectiveness of drug therapy. Traditional drug delivery modes include oral administration， intravenous injection and transdermal delivery， which have certain advantages， but it is difficult for the drugs to effectively cross the BBB. Therefore， it is crucial to find drug delivery modes that can efficiently traverse the BBB. Nasal drug delivery， as a non-invasive method， can realize the targeted delivery of drugs to the CNS via three pathways， including olfactory neurons， trigeminal neurons and blood circulation， and shows a broad application prospect in the treatment of CNS diseases. Numerous studies have further confirmed that nasal drug delivery combined with novel drug delivery systems such as lipid nanocarriers， nanoparticles， nanoemulsions and composite in situ gels can effectively load the active components of traditional Chinese medicine（TCM）， and significantly increase drug concentration in the brain， which provides new strategies for the treatment of CNS diseases. In this paper， the current status of drug delivery for CNS diseases was systematically sorted out， the characteristics of nasal drug delivery were discussed in depth， and the research progress of passive targeting， active targeting， and "guiding the meridian" drug delivery strategies for the nasal-to-brain transport of TCM active components was summarized and analyzed， which was aimed to provide references and insights for the development of drugs for CNS diseases and the application of TCM in nasal-to-brain delivery.

Central nervous system（CNS） disorders are characterized by complex pathological mechanisms and the presence of the blood-brain barrier（BBB）， which significantly limits the effectiveness of drug therapy. Traditional drug delivery modes include oral administration， intravenous injection and transdermal delivery， which have certain advantages， but it is difficult for the drugs to effectively cross the BBB. Therefore， it is crucial to find drug delivery modes that can efficiently traverse the BBB. Nasal drug delivery， as a non-invasive method， can realize the targeted delivery of drugs to the CNS via three pathways， including olfactory neurons， trigeminal neurons and blood circulation， and shows a broad application prospect in the treatment of CNS diseases. Numerous studies have further confirmed that nasal drug delivery combined with novel drug delivery systems such as lipid nanocarriers， nanoparticles， nanoemulsions and composite in situ gels can effectively load the active components of traditional Chinese medicine（TCM）， and significantly increase drug concentration in the brain， which provides new strategies for the treatment of CNS diseases. In this paper， the current status of drug delivery for CNS diseases was systematically sorted out， the characteristics of nasal drug delivery were discussed in depth， and the research progress of passive targeting， active targeting， and "guiding the meridian" drug delivery strategies for the nasal-to-brain transport of TCM active components was summarized and analyzed， which was aimed to provide references and insights for the development of drugs for CNS diseases and the application of TCM in nasal-to-brain delivery.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

In traditional clinical teaching of impacted tooth extraction, there are problems including limited observation fields for students, insufficient doctor-patient communication training, inadequate clinical thinking development, and low levels of clinical participation. Based on the core elements of visualizing jaw structure with perspective, formulating clinical strategy, immersing in clinical participation, and cultivating the spirit of caregiving, we developed a virtual reality simulation teaching platform for the clinical decision analysis of impacted tooth extraction. The virtual simulation-based platform can create three different impacted tooth scenarios in 3D, which demonstrates the process of clinical decision analysis of impacted tooth extraction through virtuality-reality interaction, allowing students to immerse in the discovery, analysis, and resolution of the medical and humanistic problems in the process of impacted tooth extraction. The questionnaire survey showed that 81.36% (48/59) of the students believed that the software could improve their clinical thinking ability; 76.27% (45/59) of the students believed that it could help them master the basic process of impacted tooth extraction; and 62.71% (37/59) of the students believed that it could improve their skills of impacted tooth extraction. By providing immersive learning experience, constructive teaching design, and multi-dimensional teaching evaluation, the software achieved the goals of cultivating students' clinical thinking ability and professional literacy in oral and maxillofacial surgery.

Objective:To establish a comprehensive and detailed evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery, providing reference for promoting the construction of clinical practice bases for nursing graduate students majoring in midwifery in China.Methods:Based on the theoretical framework of international midwifery practice basic skills, an evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery was established through literature analysis and Delphi method. Analytic hierarchy process was used to calculate the weights of indicators at all levels.Results:This study conducted two rounds of consultation with 20 experts. In the two rounds of consultation, the positivity coefficients of experts were 84.38% and 74.07%, and the authority coefficients of the expert groups were 0.91 and 0.94, respectively. The total Cronbach's α coefficients of the index system were 0.930 and 0.965, respectively, and the Kendall harmony coefficients of the overall indicators were 0.230 and 0.297 ( P<0.01). The final evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery included five primary indicators, 14 secondary indicators, and 76 connotation indicators. Conclusions:Based on the service purpose of maternal and child health and the functional positioning of the base, this study constructs a scientific and reliable evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery.

Objective A scoping review was performed to identify the effectiveness,characteristics,and behavior change techniques of intervention strategies for reducing sedentary behavior among older adults.Methods This study was guided by the scope review methodology framework proposed by Arksey and O'Malley.A comprehensive search of databases was conducted in PubMed,Embase,PsycINFO,Cochrane Library,CINAHL,and Sedentary Behavior Research Database to collect the literature on intervention strategies for reducing sedentary behavior among older adults.The search period was from the establishment of the databases to September 20,2022.The study selection and data extraction were performed independently by 2 reviewers.The resulting data were analyzed and arranged using the descriptive analysis and the social network analysis.Results A total of 31 separate studies published between 2011 and 2022 were included in this study.Most intervention strategies were developed based on the Social Cognitive Theory.Almost all sedentary behavior intervention strategies targeted the psychological and behavioral levels of the individual.The main contents of the intervention strategies included goals and plans,feedback and monitoring,natural consequences,social support,repetition and substitution.In the social network analysis,the behavior change techniques that ranked high in degree centrality included goal-setting(behavior),self-monitoring of behavior,action planning,information about health consequences,and feedback on behavior.These intervention strategies could reduce sedentary time from 23 to 151 min/day.Conclusion Domestic nursing researchers should pay attention to sedentary behavior in older adults,and develop intervention strategies for reducing sedentary behavior in local contexts based on the effectiveness,characteristics,and behavior change techniques of the existing sedentary behavior intervention strategies.

Objective To summarise and analyse the qualitative studies on the factors that influence patient involvement in decision-making for the initial administration of insulin for the patients with Type II diabetes,from the perspectives of patients and healthcare staff in order to provide a reference to promote patient involvement in decision-making.Methods Systematic searches were conducted across databases,such as CINAHL,Cochrane Library,EMBASE,PubMed,Web of Science,PsycINFO,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP,and SinoMed,for qualitative studies on the factors that affect patient involvement in initial insulin decision-making for the patients with Type II diabetes.The search was limited to articles from the inception of the databases to 30th September,2023.Quality of the included studies was assessed using the Joanna Briggs Institute(JBI)evidence-based healthcare centre for qualitative research quality assessment tool.The results were integrated using a synthesising integration method.Results A total of 19 articles were included,yielding 20 study results,which were categorised into 7 themes of patient decision-making related values,patient role preferences in decision-making,condition of patient,the role of healthcare staff in patient participation in decision-making,professional quality of healthcare staff,relationship between patient and healthcare staff,and the support from a medical institution.The data were ultimately integrated into 4 overarching themes of patient personal factors,healthcare staff factors,patient-staff interaction factors and medical institution factors.Conclusion The involvement of the patients with Type II diabetes in the decision-making for the initial administration of insulin is influenced by patients themselves,healthcare staff and medical institutions.It requires efforts of multiple parties:not only with the patients actively participate in decision-making,but also with the healthcare staff and institutions who provide effective decision supports.