Neurological diseases have high morbidity and disability rates， posing a severe threat to human health. Cli nical manifestations include motor， sensory， cognitive and conscious disorders. Chaihu jia longgu muli decoction is derived from Treatise on Febrile Diseases ， with the effects of harmonizing Shaoyang， activating Yang and clearing heat， and tranquilizing the mind. This paper systematically reviews the research progress in clinical application and mechanism of Chaihu jia longgu muli decoction in the field of neurological diseases. It has been found that the decoction shows favorable efficacy in various neurological diseases such as insomnia， depression， epilepsy， vertigo， migraine and vascular dementia. The specific mechanisms are related to regulating neurotransmitter levels， repairing neuronal function， alleviating neuroinflammation， improving mitochondrial dysfunction and regulating intestinal flora. In the future， standardized prospective follow-up cohorts should be established， and core outcome indicators should be clearly defined to strengthen the evidence base. Furthermore， multidisciplinary research should be leveraged to expand the therapeutic value of Chaihu jia longgu muli decoction in the management of neurological diseases.

ObjectiveTo construct and validate a risk assessment model for post-transplant diabetes mellitus （PTDM） using multiple machine learning algorithms， and to realize the early identification of PTDM. MethodsA retrospective analysis was performed for the clinical data of the patients who underwent allogeneic liver transplantation in The First Hospital of Shanxi Medical University from April 1， 2020 to December 31， 2024， and they were randomly divided into a training set and a validation set at a ratio of 7∶3. The LASSO regression analysis combined with 5-fold cross-validation was used for feature selection. Seven machine learning models were developed in the training set， i.e.， logistic regression （LR）， decision tree （DT）， Naive Bayes （NB）， random forest （RF）， K-nearest neighbor （KNN）， extreme gradient boosting （XGBoost）， and adaptive boosting （AdaBoost）. In the validation set， various methods were used to assess the predictive performance of each model， such as accuracy， precision， recall rate， specificity， F1 score， area under the receiver operating characteristic curve （AUROC）， and area under the precision-recall curve （AUPRC）. The Brier score and decision curve analysis were used to assess the calibration and clinical practicability of the models， and the SHAP method was used to analyze feature importance. The independent-samples t test or the Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. ResultsA total of 135 liver transplant recipients were enrolled， among whom 26 developed PTDM， and there were 94 patients in the training set and 41 in the validation set. Feature extraction and screening identified 7 key features of sex， overweight or obesity， anhepatic phase， time of operation， length of hospital stay， early postoperative hypomagnesemia， and impaired fasting glucose （IFG）. In the validation set， the XGBoost model showed the best predictive performance， with an AUROC of 0.907 （95% confidence interval ［CI］： 0.807 — 0.989）， an AUPRC of 0.649 （95%CI： 0.339 — 0.955）， an accuracy of 0.878， a precision of 0.667， a recall rate of 0.750， an F1-score of 0.706， a specificity of 0.909， and a Brier score of 0.104. The decision curve analysis showed that when the threshold probability was below 0.667， application of the XGBoost model in clinical decision-making provided relatively high net benefit. The SHAP analysis showed that the length of hospital stay ranked first in terms of feature importance， followed by time of operation， overweight or obesity， sex， IFG， anhepatic phase， and early postoperative hypomagnesemia. ConclusionThe risk assessment model for PTDM in liver transplant recipients based on XGBoost algorithm has excellent performance and can effectively identify high-risk individuals； however， multicenter large-sample data are needed for further validation.

Osteoarthritis (OA) causes chronic pain that significantly impairs quality of life, with current treatments often proving insufficient and accompanied by adverse effects. Recent research has identified the dorsal root ganglion (DRG) and its resident macrophages as crucial mediators of chronic OA pain through neuroinflammation driven by macrophage polarization. We present a novel injectable thermo-sensitive hydrogel system, KAF@PLEL, designed to deliver an anti-inflammatory peptide (KAF) specifically to the DRG. This biodegradable hydrogel enables sustained KAF release, promoting the reprogramming of DRG macrophages from pro-inflammatory to anti-inflammatory phenotypes. Through comprehensive in vitro and in vivo studies, we evaluated the hydrogel's biocompatibility, effects on macrophage polarization, and therapeutic efficacy in chronic OA pain management. The system demonstrated significant capabilities in preserving macrophage mitochondrial function, suppressing neuroinflammation, alleviating chronic OA pain, reducing cartilage degradation, and improving motor function in OA rat models. The sustained-release properties of KAF@PLEL enabled prolonged therapeutic effects while minimizing systemic exposure and side effects. These findings suggest that KAF@PLEL represents a promising therapeutic approach for improving outcomes in OA patients through targeted, sustained treatment.

Objective: To investigate the current status and trends of depressive symptoms among middle school and college students in Hunan Province, and to explore the primary related factors of depressive symptoms, so as to provide a scientific basis for strengthening mental health among students. Methods: A total of 279 382 students in Hunan Province were selected through a stratified cluster random sampling method from 2021 to 2023. National Survey Questionnaire on Common Diseases and Health Influencing Factors among Students was adopted for the survey, and the Center for Epidemiological Studies Depression Scale was used to assess their depressive symptoms. The χ 2 test and trend χ 2 test were used to analyze depressive symptoms prevalence and trends, and multivariable Logistic regression was used to analyze the related factors of depressive symptoms. Results: The prevalence of depressive symptoms among students in Hunan Province from 2021 to 2023 were 19.66%, 20.17% and 21.47%, respectively, showing an upward trend ( χ 2 trend =9.07, P <0.01). In addition, the results of the multivariable Logistic regression analysis showed that students with healthy diet ( OR=0.43, 95%CI =0.40-0.45), adequate sleep ( OR=0.88, 95%CI =0.86-0.90), and acceptable screen time ( OR=0.61, 95%CI =0.60-0.62) had lower risks in depressive symptoms detection, while students with smoking ( OR= 1.95, 95%CI =1.88-2.02), secondhand smoke exposure ( OR=1.33, 95%CI =1.30-1.36) and Internet addiction ( OR= 4.19 , 95%CI =4.05-4.34) had higher risks in depressive symptoms detection, with differences in the degree of association among different genders, educational stages and urban rural groups ( OR=0.40-6.04, Z =-12.69-11.98) ( P <0.05). Conclusions There is an increasing trend of depressive symptoms among middle school and college students in Hunan Province from 2021 to 2023.Targeted depression prevention measures should be taken for students with different demographic characteristics to promote their mental health.

Hepatic angiomyolipoma （HAML） is a rare benign mesenchymal tumor frequently observed in middle-aged women. Due to the absence of prominent symptoms in the early stage and the lack of specific imaging findings， the diagnosis of this disease can be challenging， leading to a high rate of misdiagnosis. This article reports a case of giant HAML with subcapsular rupture that was misdiagnosed as hepatocellular carcinoma and introduces the characteristics of the case and its diagnosis and treatment process， in order to provide a reference for the diagnosis and treatment of this type of disease.

Moyamoya disease (MMD) is widely recognized as an important cause of ischemic stroke and hemorrhagic stroke. Cerebral revascularization is the standard treatment for preventing stroke recurrence in patients with MMD. However, cerebral hyperperfusion syndrome (CHS) is one of the main complications of cerebral revascularization in patients with MMD. This article reviews the predictive factors for postoperative CHS in patients with MMD undergoing cerebral revascularization.

As a type of non-Hodgkin lymphoma,Burkitt lymphoma is characterized by unfixed location of disease,rapid progression,diverse symptoms,and clinical complexity in diagnosis and treatment.Professor Wang Xixing posits that Burkitt lymphoma manifests as a tangible mass,and its formation is associated with the invasion of exogenous pathogens,internal injury induced by seven emotions,and deficiency of healthy qi.The fundamental pathogenesis involves dysfunction of the liver,spleen and kidney,leading to liver qi stagnation,spleen-stomach deficiency in the middle energizer,and liver-kidney disharmony.The secondary manifestations were caused by the binding of phlegm-damp,toxin,and stasis.In general,the pathogenesis of Burkitt lymphoma presented deficiency in the origin and excess in the superficiality,and deficiency interweaved with excess.In clinical practice,Professor Wang emphasizes the regulation of the functions of liver,spleen and kidney,and maintains the body's yin-yang balance on the basis of the combination of disease differentiation and syndrome differentiation.Therapeutic strategies focus on soothing liver qi,replenishing qi to strengthen the spleen,and tonifying the kidney to regulate the liver,separately through the utilization of Chaihu Sanjie Decoction,Buzhong Yiqi Decoction,and Bushen Tiaogan Decoction.In this way,significant clinical efficacy is usually achieved.

Objective:To improve the understanding of patients with diffuse large B-cell lymphoma (DLBCL) with pulmonary cryptococcosis.Methods:The clinical data of 1 DLBCL patient with pulmonary cryptococcosis in the Central Hospital of Fengxian District of Shanghai in May 2023 were retrospectively analyzed, and the relevant literatures were reviewed.Results:This 75-year-old female patient was asymptomatic after 2 cycles of R-CHOP chemotherapy. The high-resolution CT of lung showed that lung nodules were progressively enlarged. Antibacterial treatment was ineffective. Pulmonary cryptococcosis was confirmed by bronchoalveolar lavage fluid (BALF) targeted high-throughput sequencing (tNGS) and cryptococcus capsular antigen (CrAg) detection. The central nervous system was not involved. And the long-term adequate-dose fluconazole was prescribed for 6 months, and the treatment against lymphoma was given synchronously. The lung nodule lesions reduced after antifungal therapy for 1 month. The lung nodules disappeared after the follow-up of 6 months after completion of final chemotherapy. The evaluation of lymphoma indicated complete remission.Conclusions:Pulmonary cryptococcosis occurs insidiously and shows no specific symptoms; its imaging manifestations are variable and routine anti-infection is ineffective. Immunochemotherapy for lymphoma patients is a high-risk factor for cryptococcal infection. tNGS and CrAg testing for BALF are effective methods of the confirmed diagnosis. The early and long-term adequate-dose antifungal treatment is the key to preventing the recurrence or progression.

Sacroiliac complex injuries are commonly seen in high-energy pelvic fractures. The injuries make a big difference in treatment patterns due to the diverse injury types, posing considerable challenges in formulating optimal treatment strategies, and hence are persistent clinical difficulties in orthopedic trauma. The clinical management of sacroiliac complex injuries presents several key challenges such as a non-negligible rate of missed diagnoses in associated vascular and visceral injuries, absence of standardized protocols for surgical approaches and reduction-fixation strategies across different injury patterns, and ongoing controversies regarding surgical indications and optimal timing for patients combined with concomitant lumbosacral plexus injuries. Currently, no systematic clinical guidelines are available for the diagnosis and treatment of sacroiliac complex injuries both domestically and internationally. To this end, the Pelvic and Acetabular Surgery Group, Orthopedic Branch, China International Exchange and Promotive Association for Medical and Health Care and Orthopedic Physician Branch, Chinese Medical Doctor Association organized a panel of domestic experts in the field to develop the Clinical guideline for the diagnosis and treatment of sacroiliac complex injuries ( version 2025), based on evidence-based medicine and adhering to the principles of scientific rigor, clinical applicability, and innovation. These guidelines provided 11 recommendations covering diagnosis, therapeutic principles and techniques, management protocols for lumbosacral plexus injuries, outcome evaluation, and postoperative rehabilitation pathways, etc., aiming to standardize the clinical management of sacroiliac complex injuries.