As a pivotal strategy to alleviate the shortage of organ donors, xenotransplantation has achieved remarkable advances in both pre-clinical and clinical studies in recent years, driven by continuous optimization of gene modification techniques and immunosuppressive regimens. Nevertheless, clinical translation still confronts formidable challenges, including rejection and heightened infection risks, which severely compromise long-term graft survival. Consequently, the role of immunosuppressive regimens in xenotransplantation has become increasingly prominent. This article summarizes the mechanisms underlying xenogeneic immune rejection, the latest developments in immunosuppressive regimens, cutting-edge strategies for inducing immune tolerance and the major hurdles facing clinical xenotransplantation. It delves into potential optimization strategies and directions for future clinical research, aiming to offer theoretical insights and practical guidance for the safe and effective application of clinical xenotransplantation.

Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

[Objective] To compare the diagnostic accuracy of three imaging modalities, inlducing CT urography (CTU), contrast-enhanced MRI (CE-MRI), and contrast-enhanced ultrasound (CEUS) in the qualitative diagnosis of renal space-occupying lesions. [Methods] A retrospective analysis was performed on 542 patients with renal lesions confirmed by surgical pathology in our hospital during Jan.2019 and May 2024.The diagnostic results of CTU, CE-MRI and CEUS were compared and analyzed based on the patients' clinical and pathological data. [Results] The diagnostic accuracy rate of CTU, CE-MRI and CEUS were 84.50%, 83.14% and 86.14%, respectively.For the 161 patients who underwent all three examinations, CEUS was significantly more accurate than CTU (84.16% vs. 77.02%, P=0.018), while there was no significant difference between CTU or CEUS and CE-MRI (79.81%) (P>0.05). Further analysis found that for lesions ≤4 cm, the accuracy of the three examinations was as follows: CEUS=CTU 79.55%, CE-MRI 76.14%, with no significant difference (P>0.05). However, for lesions >4 cm, CEUS ranked the first, followed by CE-MRI and CTU (89.73% vs. 84.25% vs. 73.97%), and CEUS and CE-MRI were better than CTU (P<0.05). Additionally, for the diagnosis of clear cell renal carcinoma and benign renal space-occupying lesions, there was no statistically significant difference among the three imaging modalities (P>0.05), while for the qualitative diagnosis of non-clear cell renal carcinoma, CEUS ranked the first, followed by CE-MRI and CTU (83.87% vs. 74.19% vs. 56.45%), and CE-MRI and CEUS were better than CTU (P<0.05). [Conclusion] All of them have important diagnostic value, and the appropriate selection should be based on patients' specifc conditions.CEUS and CE-MRI are more accurate in the qualitative diagnosis of renal space-occupying lesions than CTU, especially for large lesions and non-clear cell carcinoma.

ObjectiveTo characterize the changes in the overall chemical profile and key index components during nine-time repeating steaming and sun-drying processing of Rhei Radix et Rhizoma， and to reveal the change law of its material basis. MethodsHigh performance liquid chromatography（HPLC） was used to analyze the changes in the overall chemical profile of Rhei Radix et Rhizoma decoction pieces， and the contents of 15 main active components such as chrysophanol-8-O-β-D-glucoside， chrysophanol and gallic acid in the process of nine-time repeating steaming and sun-drying were determined. Combined with chemometrics， the contents and quantity ratio relationships of the glycosides， aglycones and tannins during the processing of Rhei Radix et Rhizoma were analyzed， and the partial least squares-discriminant analysis（PLS-DA） and cluster analysis of the main components in different steaming times were conducted， the statistically significant differential markers were selected with the variable importance in the projection（VIP） value>1. ResultsIn the nine-time repeating steaming and sun-drying process of Rhei Radix et Rhizoma， there were certain regularity in the number and peak area of characteristic peaks and the steaming and sun-drying times， the anthraquinone glycosides and aglycones could be roughly divided into three stages， including rapid change stage， fluctuation change stage and stable stage， and the total amount of tannins showed a decreasing trend. However， the ratios between the three components mentioned above tended to stabilize after five rounds of steaming and sun-drying. The results of PLS-DA and cluster heatmap showed that the content of each component in Rhei Radix et Rhizoma fluctuated greatly during the 1-4 steaming and sun-drying processes， while the content of each component was relatively close during the 5-9 steaming and sun-drying processes. After screening， it was found that chrysophanol， emodin， chrysophanol-8-O-β-D-glucoside， rhein， physcion and emodin-8-O-β-D-glucoside could be used as the index components for distinguishing the processed products of Rhei Radix et Rhizoma with different steaming and sun-drying times. ConclusionThe changes in the properties and efficacy of Rhei Radix et Rhizoma caused by the processing of nine-time repeating steaming and sun-drying are due to the changes in the composition and ratio of various glycosides and complex tannins in this herb， which is also the key to the formation of its characteristic of "purgation with supplement". This study can provide a basis for the research on the processing mechanism of Rhei Radix et Rhizoma and the establishment of processing specifications.

Xenotransplantation is one of the effective ways to overcome the shortage of donor organs. However, the molecular incompatibility between xenotransplantation donors and recipients can cause rejection, which greatly limits the clinical application of xenotransplantation. In recent years, researchers have deeply explored the mechanism of xenotransplantation rejection through xenotransplantation models of pig-to-monkey and pig-to-brain death recipients, and found that the innate immune system plays an important role in rejection. Macrophages, as phagocytes in the innate immune system, not only damage xenografts through phagocytosis but also interact with other immune cells to influence the immune microenvironment of xenotransplantation. However, due to the heterogeneity of macrophages, their phenotypes and functions in xenotransplantation rejection remain unclear. Therefore, it is necessary to further explore the role of macrophages in xenotransplantation rejection. This article reviews the latest research progress of macrophages in xenotransplantation rejection, aiming to explore the mechanisms of macrophages in xenotransplantation rejection and provide references for future research.

Organ transplantation faces the challenge of a shortage of donors. Although xenotransplantation holds great potential, it is limited by rejection. Extracellular histones, as key members of damage-associated molecular patterns, have been proven in recent years to play a crucial role in transplant rejection by activating innate immunity, regulating the coagulation-inflammation network, and modulating adaptive immune responses. However, the specific functions and key mechanisms remain to be clarified. Therefore, this article reviews the structural characteristics of histones, their release pathways, the biological functions of extracellular histones, and their potential roles in xenotransplantation. It summarizes the latest research progress of extracellular histones in xenotransplantation, analyzes the shortcomings of existing research and the direction for future research, with the expectation of providing references for the application of extracellular histones in xenogeneic kidney transplantation.

Viral hepatitis is an important cause of liver cirrhosis and liver cancer， which has become a major public health problem in the world. Traditional Chinese medicine has unique advantages in treating viral hepatitis， which can inhibit virus replication and enhance immunity. It can effectively prevent liver fibrosis and canceration， improving liver function and symptoms significantly with definite clinical curative effects， a high level of safety， and seldom drug resistance. In addition， it reduces the side effects of western medicine， achieving the effect of synergy and attenuation while reducing the recurrence rate of patients after drug withdrawal. Attention has been paid to the research on the treatment of viral hepatitis with traditional Chinese medicine， and great progress has been made in experimental research and clinical practice. In this paper， the research progress of traditional Chinese medicine in the treatment of viral hepatitis at home and abroad in recent five years was systematically reviewed. Modern research has confirmed that traditional Chinese medicine can play a role in the treatment of viral hepatitis by directly or indirectly inhibiting the virus， anti-inflammatory， anti-fibrosis， anti-oxidation， regulating immunity， regulating autophagy， and other signal pathways. In clinics， traditional Chinese medicine compound or combined with western medicine is often adopted to ameliorate the clinical symptoms of patients such as fatigue and loss of appetite， improve the immune mechanism of the body， enhance the antiviral ability， shorten the treatment course of patients and improve their quality of life. The research provides a reference for pharmacological research， clinical research， and new drug development for viral hepatitis.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

Objective:To investigate symptoms of anxiety and depression among primary and middle school students quarantined in hotels during the COVID-19 epidemic.Methods:Anxiety and depression symptoms among 726 primary and middle school students quarantined in hotels were investigated with The Screen for Child Anxiety Related Emotional Disorders(SCARED)and Depression Self-rating Scale for Children(DSRSC)from September to October 2022 in Chifeng City,Inner Mongolia Autonomous Region.There were 624 students completed investi-gation with response rate of 86％.The positive score of SCARED was ≥23 and DSRSC was ≥ 15.Results:The detection rates of anxiety and depression were 17.9％and 15.4％respectively.The detection rates of anxiety and depression were higherin middle school students than inprimary school students(Ps＜0.05).The scores of general-ized anxiety and social phobia factors were higher in female students than in male students(Ps＜0.05).The scores of dissociative anxiety factor and depression were higher in middle school students than in primary school students(Ps＜0.05).Conclusion:During the COVID-19 epidemic,middle school students quarantined in hotels are more likely to have anxiety and depression symptoms than primary school students,and female students are more likely to have anxiety symptoms than male students.