BACKGROUND:Increasing evidence supports the association between different exercise intensities and the risk of osteoarthritis,but this may be affected by confounding and reverse causality,and the conclusions have not been unified. OBJECTIVE:To explore the causal association between different exercise intensities and osteoarthritis using Mendelian randomization method. METHODS:Data from genome-wide association studies associated with different exercise intensities were selected,and instrumental variables were screened with a threshold of P＜5×10-8.Causal associations between exposure and risk of outcome were assessed using five analysis methods of Mendelian randomization with inverse variance weighting as the primary analysis method.Selected instrumental variables were used to assess causal associations between different exercise intensities and osteoarthritis,and sensitivity analyses with inverse Mendelian randomization were performed. RESULTS AND CONCLUSION:In the analysis results of the inverse variance weighting method,low-intensity exercise showed a significant protective effect on knee osteoarthritis[odds ratio(OR)=0.14,95%confidence interval(CI):0.06-0.32,P＜0.001],while sedentary behavior without exercise intensity,such as watching TV,was confirmed to be a risk factor for knee osteoarthritis and hip osteoarthritis(OR=2.24,95%CI:1.74-2.88,P＜0.001;OR=1.34,95%CI:1.01-1.78,P=0.04).Through the reverse Mendelian randomization analysis of osteoarthritis to different exercise intensities,it was found that osteoarthritis was negatively correlated with low-intensity exercise and positively correlated with watching TV.The analysis results show that there is a two-way causal relationship between different exercise intensity and osteoarthritis risk.

Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

In today's society， depression is a kind of highly prevalent chronic mental illness. It leads to a high disability rate and a heavy economic burden. Depression is defined by fundamental symptoms of low mood and diminished pleasure. Its causes and mechanisms remain unclear， and it presents a broad spectrum of symptoms and a persistent nature that significantly impacts both physical and mental well-being. Treatment in Western medicine primarily focuses on alleviating symptoms， yet it entails numerous adverse effects and contraindications. Traditional Chinese medicine （TCM） treatment is based on resolving depression， which is often accompanied by soothing liver， and the key medicine is Bupleuri Radix. Bupleuri Radix associated prescriptions refer to a class of prescriptions using Bupleuri Radix as the sovereign medicinal or having a high dose of Bupleuri Radix， which are widely used in the field of anti-depression. Previous studies from animal experiments， clinical research， and modern pharmacological research have confirmed that Bupleuri Radix associated prescriptions have precise anti-depression efficacy in multiple ways and at multiple levels， but lack a comprehensive and systematic summarization. This paper summarized and analyzed the literature related to the clinical application and mechanism of action of Bupleuri Radix associated prescriptions in anti-depression treatment. The results showed that the anti-depression mechanism of the Bupleuri Radix associated prescriptions （such as Xiaochaihu Tang， Xiaoyao San， Sini San， Chaihu Shugan San， and Chaihu jia Longgu Muli San） was associated with the effects of regulating monoamine neurotransmitters， the brain-derived neurotrophic factor （BDNF）， intestinal flora， and the hypothalamic-pituitary-adrenal （HPA） axis， inhibiting inflammatory responses， and modulating related signaling pathways. Applying them in clinical practice can effectively alleviate patient symptoms， lower the TCM syndrome score and the severity of depression， and also reduce adverse reactions. This underscores advantages of TCM in depression treatment， which offers patients a secure， effective， and more individualized alternative treatment regimen. On this basis， the shortcomings of current studies and the future trend were analyzed. This study aimed to provide an evidence-based medicine basis for the research and development of novel antidepressant medications.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

Objective: To investigate the environmental contamination of norovirus in nurseries and primary/secondary schools, so as to provide a scientific basis for effective prevention and control measures. Methods: A total of 483 external environmental samples were collected from 34 cluster outbreaks of norovirus gastroenteritis in kindergartens and primary/secondary schools in Linhai City from 2021 to 2024. Pathogen detection was conducted using a rapid nucleic acid extraction kit and realtime fluorescence RT-PCR, and the results were analyzed using the χ2 test or Fishers exact test. Results: Among the collected external environmental samples, the total positive rate of surface contamination was 13.66%. The positive rates in kindergartens and primary/secondary schools were 12.20% and 15.82%, respectively. In kindergartens, the five surfaces with the highest detection rates were desks/chairs (23.33%), toilet stool troughs (20.69%), urinal troughs (12.00%), washbasins/sinks (11.11%), and toilet mops (9.38%). In primary/secondary schools, the top five were toilet stool troughs (38.30%), urinal troughs (23.53%), toilet door handles (13.04%), toilet mops (12.50%), and drinking cups (11.11%). The difference in positive detection rates among different external environments in primary/secondary schools was statistically significant (Fishers exact probability test, P<0.01). The positive detection rate in sanitary toilets was higher than that in classroom environments (χ2=17.38), while the positive detection rate in classroom environments of kindergartens was higher than that in primary/secondary schools (χ2=5.42)(P<0.05). Conclusions Norovirus exhibits a high contamination rate in nurseries and schools, particularly in restroom areas. Strengthening sanitation and disinfection in highrisk environments, and improving hygiene awareness among children and staff, are essential for the effective prevent and control of norovirus.

In recent years， the number of special clinical cases related to assisted reproductive technology （ART） for pregnancy has been on the rise annually. For example， gamete donation， assisted reproduction for couples of advanced maternal ages， and the ownership and disposition of embryos when one or both partners pass away， all involve the health of offspring and conflicts of interest in the implementation of ART. Although China’s ethical principles for ART include the protection of the offspring， the detailed rules are vague and urgently need to be supplemented and improved. In addition， the clinical application of ART lacks legislative collaborative governance. The corresponding administrative departments， practitioners， and infertile couples should work together. Starting from the perspective of focusing on the well-being of offspring born from the clinical application of ART， while conducting clinical research to address technical challenges， efforts should be made to overcome ethical dilemmas in the application of technology， comprehensively consider the well-being of offspring born from assisted reproductive treatments and help them seek the best care to promote their healthy growth.

Objective To evaluate the efficiency of intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms for predicting benign and malignant Breast Imaging Reporting and Data System (BI-RADS) 4 breast lesions, and provide insights into early diagnosis of breast cancer. Methods A retrospective analysis was conducted based on the medical records of 450 female patients who underwent breast ultrasound examination in the Affiliated Cancer Hospital of Xinjiang Medical University from June 2020 to April 2022. The patients were divided into the benign (n = 199) and malignant (n = 195) groups according to pathological examination, and randomized into the training (n = 275) and validation (n = 119) sets at a ratio of 7∶3. Radiomics features were extracted and screened. Intra-tumor, peri-tumor, and intra-tumor + peri-tumor ultrasound radiomics models were constructed based on three machine learning algorithms, including logistic regression (LR), support vector machine (SVM), and multi-layer perceptron (MLP). Receiver operating characteristics (ROC) curves, calibration curves, and decision curves were plotted to evaluate the efficacy of the radiomics models for prediction of benign and malignant breast lesions. Results A total of 17 intra-tumor, 16 peri-tumor, and 17 intra-tumor + peri-tumor radiomics features were selected for model construction. Based on LR, MLP, and SVM algorithms, the intra-tumor + peri-tumor radiomics models showed higher predictive efficacy than intra-tumor and peri-tumor radiomics models. The predictive efficacy of intra-tumor, peri-tumor, and intra-tumor + peri-tumor radiomics models were higher based on the SVM algorithm than based on LR and MLP algorithms. For the intra-tumor radiomics model based on the SVM algorithm, the area under the ROC curve (AUC), accuracy, sensitivity, and a specificity were 0.909, 0.851, 0.860, and 0.842, respectively, in the training set and 0.866, 0.832, 0.847, and 0.817, respectively, in the validation set. For the peri-tumor radiomics model based on the SVM algorithm, these values were 0.899, 0.855, 0.882, and 0.827, respectively, in the training set and 0.844, 0.815, 0.847, and 0.783, respectively, in the validation set. For the intra-tumor + peri-tumor radiomics model based on the SVM algorithm, these values were 0.943, 0.876, 0.860, and 0.892, respectively, in the training set and 0.881, 0.849, 0.915, and 0.783, respectively, in the validation set. Conclusion The intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms are highly valuable for prediction of benign and malignant BI-RADS 4 breast lesions. The intra-tumor + peri-tumor ultrasound radiomics model based on the SVM algorithm has the optimal efficacy for prediction of benign and malignant BI-RADS 4 breast lesions.

Background: and Purpose Limited evidence exists on the effectiveness of endovascular treatment (EVT) for acute posterior circulation tandem lesion (PCTL). This study aimed to explore the role of extracranial vertebral artery (VA) stenting in patients with PCTL stroke undergoing EVT. Methods: Individual patient data were pooled from the BASILAR (EVT for Acute Basilar Artery Occlusion Study) and PERSIST (Posterior Circulation Ischemic Stroke) registries. Patients with PCTLs who underwent EVT were included in the present cohort and divided into the stenting and nonstenting groups based on the placement of extracranial VA stents. The primary efficacy outcome was the modified Rankin Scale (mRS) scores at 90 days and 1 year. Safety outcomes included 24-hour symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days and 1 year post-surgery. Results: A combined dataset of 1,320 patients with posterior circulation artery occlusion, including 263 (19.9%) with tandem lesions, of whom 217 (median age, 65 years; 82.9% male) met the inclusion criteria for the analysis. The stenting group had 84 (38.7%) patients, while the non-stenting group had 133 (61.3%). After adjustment for the potential confounders, extracranial VA stenting was associated with favorable shifts in mRS scores at both 90 days (adjusted common odds ratio [OR], 2.30; 95% confidence interval [CI], 1.23–4.28; P<0.01) and 1 year (adjusted OR [aOR], 2.04; 95% CI [1.05–3.97]; P=0.04), along with lower rate of mortality at both 90 days (aOR, 0.45; 95% CI [0.21–0.93]; P=0.01) and 1 year (aOR, 0.36; 95% CI [0.16–0.79]; P=0.01), with no significant difference in sICH incidence (aOR, 0.35; 95% CI [0.06–1.98]; P=0.24). Conclusion Extracranial VA stenting during EVT may improve functional outcomes and reduce mortality in patients with PCTL strokes.

Objective To design and synthesize novel Hsp90 inhibitors with dual functions of synergistically enhancing the antifungal activity of fluconazole （FLC） against drug-resistant fungi and anti-tumor activity based on the Hsp90 inhibitor Ganetespib. Methods The previous research found that Ganetespib had a good synergistic anti-resistant fungal activity with FLC, with a fractional inhibitory concentration index （FICI） of 0.023 to 0.039. In this study, structural modifications were made to Ganetespib by replacing its indole ring with a phenyl ring containing different substituents to design and synthesize a series of new compounds. The in vitro synergistic anti-resistant fungal activity against C. albicans 0304103 in combination with FLC, anti-tumor activity （against HEL, HL60 and A549 cells）, and Hsp90α inhibition activity were determined to explore their structure-activity relationship and mechanism of action. Results The chemical structures of 19 new compounds were confirmed by ¹H NMR, ¹³C NMR and HRMS. Most of the compounds exhibited strong Hsp90α inhibitory activity, good synergistic activity against drug-resistant fungi in combination with FLC and anti-tumor activity. The substitution of electron-donating groups on the benzene ring was beneficial to enhancing the synergistic activity against drug-resistant fungi in combination with FLC. Among them, compounds F3 and F5 showed excellent synergistic activity against drug-resistant fungi in combination with FLC （FICI were both 0.047） and anti-tumor activity （IC₅₀ were 0.025 to 0.15 μmol/L and 0.021 to 0.23 μmol/L respectively）, and could down-regulate the expression levels of drug resistance genes and efflux pump genes in fungi, inhibit the formation of fungal biofilms, and arrest the cell cycle of HEL cells at G0/G1 phase. Conclusion The novel Hsp90 inhibitors such as F3 and F5 could both effectively exert the dual activities of synergizing with FLC to combat drug-resistant fungi and fight against tumors, which provided a new idea for the development of new drugs with dual functions of synergizing with FLC to combat drug-resistant fungi and fight against tumors.

Background: and Purpose Guillain–Barré syndrome (GBS) is an autoimmune-mediated disorder characterized by demyelinating or axonal injury of the peripheral nerve. Our aim is to determine whether serum amyloid A (SAA) is a biomarker of demyelinating injury and disease severity in patients with GBS. Methods: This study retrospectively enrolled 40 patients with either the demyelinating or axonal GBS and sex- and age-matched controls with other neurological diseases as well as healthy subjects. The demographic and clinical features at entry were collected. The serum levels of the SAA isoforms SAA1, SAA2, and SAA4 were determined in the patients with GBS and the controls using the enzyme-linked immunosorbent assay and analyzed for the associations between levels of different SAA isoforms and the clinical features of the patients. Results: The levels of SAA2 and SAA4 were significantly higher in patients with GBS than in both the other neurological disease controls and the healthy subjects (p<0.05 for all). The level of SAA1 did not differ between patients with GBS and the controls. The level of SAA2 was considerably higher in GBS patients with antecedent infection than in those without infection (p=0.020). The levels of different SAA isoforms were not associated with the disease severity or other clinical features of patients with GBS (p>0.05 for all). Conclusions Increased levels of SAA2 and SAA4 may only represent the acute inflammatory status and so cannot be utilized as biomarkers of the disease severity or demyelinating injury in patients with GBS.