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.

In the context of the digital-intelligent era of traditional Chinese medicine （TCM）， the lack of clinical thinking is a pressing issue that limits the overall effectiveness of TCM and talent cultivation. The "disease-pulse-syndrome-treatment differentiation" thinking model， originally developed by ZHANG Zhongjing in the Treatise on Cold Damage and Miscellaneous Diseases （Shang Han Za Bing Lun）， has served as a guideline and paradigm followed by generations of medical practitioners. This study aims to construct a digitalized "disease-pulse-syndrome-treatment differentiation" thinking system， develop a digital assessment system， and implement it for practical application. The goal is to recommend a digitalized assessment model for TCM and provide a reference for the integrated innovation of talent cultivation in medicine， education， and research. First， based on the complex diagnostic and treatment framework of the Treatise on Cold Damage Diseases （Shang Han Lun）， the research team previously established a "process" + "result" thinking model that included four processes and ten steps. This study integrates knowledge unit theory and digital technology to create a digital system for "disease-pulse-syndrome-treatment differentiation" with a dual-control model of "process control" and "result control". The system consists of 46 items across three categories： knowledge body （W=20%）， knowledge element （W=30%）， and knowledge element associations （W=50%）. Second， a mixed-methods research design was employed， combining qualitative and quantitative approaches. The Delphi method was used to establish hierarchical levels and screen items， while the analytic hierarchy process （AHP） was used to assign weights. Expert surveys were conducted to reach a consensus and further validate the rationale and necessity of the system. Finally， based on the system architecture and integrating key computer technologies， a digital assessment system for "disease-pulse-syndrome-treatment differentiation" was developed. The Treatise on Cold Damage Diseases （Shang Han Lun） was used as a case study to validate the system's feasibility. Statistical results showed that the difficulty level of the assessment question bank was moderate （DL ranging from 0.65 to 0.89）， with good discrimination （D>0.4）， and reasonable reliability and validity （Cronbach's α=0.84， KMO=0.72， Bartlett's test P<0.01）. The system can perform process-oriented evaluations of candidates' thinking in "disease-pulse-syndrome-treatment differentiation" and effectively achieve the goal of clinical thinking assessment through a combination of "process control" and "result control". The examination system offers three major advantages. It standardizes， objectifies， and streamlines the assessment of thought processes， facilitates the organic transformation of TCM education from outcome-based education to thinking-based education， and from exam-oriented education to competency-oriented education， and promotes the practical transformation of TCM assessments from qualitative to quantitative evaluation， as well as from theory to practice. In summary， this system not only represents a technological upgrade to traditional examinations but also empowers the cultivation and assessment of clinical talent in the digital-intelligent era， demonstrating broad application prospects.

Inherited thrombocytopenia is a group of heterogeneous inherited diseases mainly characterized by platelet count defects. It is a monogenic disease caused by mutations in various genes. Animal models are crucial for studying the pathogenesis and treatment strategies of inherited thrombocytopenia. Previous reviews on animal models of inherited thrombocytopenia have mostly focused on a single species, such as mice or zebrafish. This article systematically summarizes the construction, phenotypes, and characteristics of multiple animal models (mice, zebrafish, and primate animal) of inherited thrombocytopenia-causing genes, thereby providing a systematic reference for a comprehensive understanding of the research progress of its animal models.

OBJECTIVE To comprehensively evaluate the efficacy， safety， and cost-effectiveness of lecanemab in the treatment of early-stage Alzheimer’s disease （AD）， and to provide evidence-based guidance for clinical decision-making. METHODS A systematic search of PubMed， Cochrane Library， CNKI， Wanfang， Embase， and the official websites of leading health technology assessment （HTA） agencies was conducted for randomized controlled trials， pharmacoeconomic studies， meta-analyses/systematic reviews， and HTA reports on lecanemab published up to October 2025. After screening against predefined eligibility criteria， methodological quality was appraised with validated tools， relevant data were extracted， and the findings were synthesized qualitatively. RESULTS A total of 6 studies were included， consisting of 3 randomized controlled trials and 3 pharmacoeconomic evaluations. In terms of efficacy， lecanemab significantly slowed cognitive decline by 27% compared to placebo， reduced the decline in daily activity ability by 37%， and markedly reduced intracerebral amyloid levels. Regarding safety， the incidence of amyloid-related imaging abnormalities （ARIA） was higher in the lecanemab group than in the control group， with the incidence of edema/effusion of 12.6% （vs. 1.7% in the placebo group）， and the incidence of hemorrhage/hemosiderin deposition of 17.3% （vs. 9.0% in the placebo group）. Economically， the estimated incremental cost-effectiveness ratio of lecanemab compared with standard treatment exceeded commonly used willingness-to-pay thresholds in the United States （USD 50 000-150 000 per QALY）. CONCLUSIONS Lecanemab confers significant cognitive protection in early-stage AD； however， it is associated with a relatively high risk of ARIA and economic burden.

ObjectiveBased on the established characteristic profiles， quantitative analysis of multiple components， and chemometric analysis of Taraxacum mongolicum， the quality of different T. mongolicum germplasms was evaluated at the chemical level， thereby providing a reference for the screening of high-quality germplasms and the rational utilization of wild resources. MethodsAn ultra-performance liquid chromatography （UPLC） was employed to establish characteristic profiles. Principal component analysis （PCA） and partial least squares-discriminant analysis （PLS-DA） were then adopted to screen and comprehensively rank marker compounds. ResultsThe UPLC fingerprint of T. mongolicum germplasm identified 13 chromatographic peaks corresponding to gallic acid， coumaric acid， neochlorogenic acid， monocaffeoyltartaric acid， chlorogenic acid， cryptochlorogenic acid， caffeic acid， p-coumaric acid， cichoric acid， luteoloside， isochlorogenic acid B， isochlorogenic acid A， and isochlorogenic acid C. Combined with chemometric analysis such as PCA and PLS-DA， eight core markers （cichoric acid， luteoloside， cryptochlorogenic acid， isochlorogenic acid B， chlorogenic acid， caffeic acid， isochlorogenic acid C， and isochlorogenic acid A） were screened for distinguishing wild and cultivated germplasms. Additionally， eight core markers （cichoric acid， caffeic acid， luteoloside， chlorogenic acid， cryptochlorogenic acid， isochlorogenic acid A， monocaffeoyltartaric acid， and neochlorogenic acid） were selected for the evaluation and screening of different T. mongolicum germplasms. ConclusionThis study establishes a UPLC analysis method capable of simultaneously determining 13 characteristic components in T. mongolicum， such as cichoric acid and chlorogenic acid， as well as their precursor compound contents in the biosynthetic pathway. Based on the above methods， three T. mongolicum germplasms （PGY-004， PGY-009， and PGY-010） with promising medicinal potential are selected for subsequent research on variety breeding. The present study provides a reference for quality control of Taraxacum mongolicum， germplasm screening， and the rational development and utilization of wild resources.

[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.

Nonalcoholic fatty liver disease（NAFLD） is the most common chronic liver disease in the world. Because of its complex pathogenesis， high clinical prevalence and large population， it poses a great threat and challenge to public health in the world. Therefore， active intervention measures are needed. Currently， western medicine is effective in reducing weight， reducing liver fat content， improving glucose-lipid metabolism and insulin resistance. However， for patients with NAFLD-related fibrosis and cirrhosis， there is still a lack of sufficient histological evidence to support its benefits， and randomized controlled trials are still needed to clarify. Lifestyle intervention is an important cornerstone for the treatment of NAFLD， but there are many problems such as poor implementation and low compliance of patients， and the clinical efficacy is not ideal. Traditional Chinese medicine（TCM） has the significant advantages of multiple pathways and multiple targets. Berberine， the active ingredient of TCM， can interfere with the production of NAFLD from multiple pathways， including increasing energy consumption， weight loss， improving glucose-lipid metabolism， improving insulin resistance， anti-inflammatory， anti-oxidation， regulating intestinal flora， restoring bile acid homeostasis， anti-fibrosis and so on， which can play a positive role in the treatment of NAFLD. At the same time， it was found that the combination of BBR with Chinese and western medicines had significant advantages in promoting drug absorption， improving oral bioavailability， increasing the highest biological distribution in the liver， enhancing the overall therapeutic effect of NAFLD， and reducing adverse drug reactions， which could provide reference for clinical medication.

BACKGROUND:The mechanisms underlying the occurrence of pressure injuries are complex,and it is not entirely clear which factors play a central role in the development of pressure injuries and how these factors operate. OBJECTIVE:To investigate the relationship between Piezo-type mechanosensitive ion channel component 1(Piezo1)and the occurrence of pressure injuries. METHODS:(1)Cellular experiment:Human immortalized keratinocytes(HaCaT)were treated with Yoda1,a Piezo1 agonist,at different concentrations.Cell viability,calcium ion influx,Piezo1,and apoptosis-related protein expression were detected.(2)Animal experiment:Twelve Sprague-Dawley rats were randomly divided into a control group and three experimental groups,with three rats in each group.The control group was not subjected to pressure,while in the three experimental groups,magnets with a thickness of 1,2,and 3 mm were used to press on both sides of the rats'back for 1 hour,respectively,to establish the animal models of pressure injuries.After modeling,all traumatic tissues were excised and subjected to hematoxylin-eosin,Masson,immunofluorescence staining and western blot assay. RESULTS AND CONCLUSION:Cellular experiments:The results of live/dead cell staining showed that HaCaT cell apoptosis increased with the increase of Yoda1 concentration(0,2.5,5,and 10 μmol/L),and calcium ion influx increased with the increase of Yoda1 concentration(0,5,and 10 μmol/L),as well as with the prolongation of treatment time.Western blot assay results showed an increase in the expression of BAX,TG2,and PIEZO1 and a decrease in the expression of the expression of Bcl-2 protein in HaCaT cells in 5 and 10 μmol/L Yoda1 groups compared with the control group(0 μmol/L Yoda1).Animal experiments:The results of hematoxylin-eosin and Masson staining showed that the skin structure of the three experimental groups was damaged at the compression site,there was subcutaneous fat liquefaction and necrosis,and collagen was sparse and disorganized,and damage to the skin structure at the compression site was aggravated with the increase of magnet thickness.Immunofluorescence staining and western blot results showed that compared with the control group,the expression of BAX,TG2,Yap1 and PIEZO1 proteins was elevated,and the expression of Bcl-2 proteins was lowered in the three experimental groups.Moreover,the expression of related proteins showed more significant changes with the increase of magnet thickness(pressure).To conclude,skin compression activates PIEZO1,leading to a significant influx of calcium ions.As the pressure increases,this ultimately results in cell apoptosis due to calcium overload.

BackgroundMetabolic syndrome （MetS） is highly prevalent in patients with mental disorders， including elevated diastolic or systolic blood pressure， elevated fasting glucose， hypercholesterolemia， abdominal obesity and so on. As an important component of MetS， the relationship between hypercholesterolemia and mental disorder has been extensively reported， whereas few genome-wide association studies （GWAS） have been conducted to identify the causal role of mental disorders in hypercholesterolemia. ObjectiveTo explore the potential causal relationship between mental disorders and hypercholesterolemia by two-sample Mendelian randomization （MR） method. MethodsSummary data from GWAS were analyzed. Single nucleotide polymorphisms （SNPs） strongly associated with mental disorders were chosen as instrumental variables， and hypercholesterolemia was used as outcome variable. MR analysis utilized inverse-variance weighted （IVW）， MR-Egger regression and weighted median estimation （WME） as the primary analytical tool， and supplemented by simple mode （SM） and weighted mode （WM）. The causal relationship between mental disorders and the risk of hypercholesterolemia was illustrated in terms of odds ratio （OR）. ResultsA total of 36 SNPs associated with mental disorders were identified as instrumental variables. The primary findings from IVW revealed existence of a causal relationship between mental disorders and hypercholesterolemia （IVW： OR=1.067， 95% CI： 1.026~1.109， P=0.001）. Findings from the additional methods （MR-Egger regression， WME， SM， WM） were basically consistent with those reported in IVW method. Further verification indicated that the causal relationship between mental disorders and the risk of hypercholesterolemia was not affected by genetic polymorphism （P>0.05）. The absence of heterogeneity was confirmed through Cochran's Q test and MR-Egger regression （P>0.05）. Furthermore， no causal association in the reverse direction was found （P>0.05）. ConclusionThere is a causal relationship between mental disorders and hypercholesterolemia， and patients with mental disorders may have an increased probability of suffering from hypercholesterolemia.