Alzheimer's disease(AD)is a common neurodegenerative disease.Traditional Chinese medicine is effective in treating AD.The combination of disease and syndrome with animal model is the basis and premise of related research.In this paper,studies on non-transgenic AD animal models and AD disease and syndrome combined animal models are summarized.It was found that,there are eight common non-transgenic AD animal models,including aging type(natural aging type,rapid aging type and induced aging type)and injection-induced injury type(Aβ injection animal model,Tau damage type,damage model of cholinergic system,neuroinflammatory model and aluminum poisoning induction model).AD disease and syndrome combined with animal models include kidney deficiency/kidney deficiency and essence deficiency/kidney deficiency and pulp emptying,phlegm turbidity blocking orifice,blood stasis blocking collaterals,phlegm stasis interlocking,liver depression and phlegm fluid stagnation heat.In this paper,the advantages and disadvantages of each model replication method are reviewed,in order to provide reference and support for the future study of AD disease and syndrome combined with animal models.

Objective To investigate the influencing factors for frailty in elderly patients with mild ischemic stroke(MIS),construct a risk prediction model based on random forest algorithm and evaluate its application performance.Methods A total of 322 elderly MIS patients subjected by cluster sampling in the Neurodiagnosis and Treatment Center of our hospital during January and June 2022 were enrolled and divided into non-frailty group(n=261)and frailty group(n=61)according to the results of frailty screening scale.The general clinical data,and the scores of Daily Living Ability Scale,Simplified Geriatric Depression Scale,Social Support Rating Scale,36-Item Concise Health Questionnaire,and Simplified Intelligent State Examination Scale were compared between two groups.Random forest algorithm was used to construct a risk prediction model for frailty in the elderly MIS patients,and ROC curve was plotted to analyze the predictive value of the model.Results The incidence of frailty in elderly MIS patients was 18.94％.There were sta-tistical differences in age,marital status,monthly income,medical expense payment,sleep condi-tion and comorbidities in the frail group(P＜0.01).The frail group had significantly lower scores of support utilization,concise health status,physiological function,body pain,general health,social function,and emotional function,and higher scores of Activities of Daily Living Scale and the Simplified Geriatric Depression Scale than the non-frail group(P＜0.05).The random forest model obtained an accuracy of 88.28％,a sensitivity of 88.24％,a specificity of 88.89％,an F1 score of 0.933,and an AUC value of 0.816.Random forest algorithm ranked the important varia-bles influencing frailty in elderly MIS patients through variable importance scores,and the top five predictors were types of basic diseases(≥2 types),sleep condition,quality of life score,self-care ability score,and personal monthly income(＜2000 Yuan).Conclusion A risk prediction model for frailty in elderly MIS patients is constructed by using random forest algorithm.The model is helpful to identify key factors of frailty as early as possible,provide empirical evidence for clinical medical staff to implement early intervention,improve the health and quality of elderly MIS patients,and prevent or delay the occurrence of frailty.

The Fragment of Dunhuang Ancient Tibetan Moxibustion Therapy contains rich content on fire moxibustion therapy of Tubo-period Tibetan medicine, characterized by distinctive clinical features of Tibetan acupuncture and strong regional attributes. This paper systematically reviews the relevant materials on moxibustion in the Fragment and summarizes the findings as follows: Tibetan fire moxibustion mainly uses mugwort as the material, and terms like "fine mugwort", "broad bean" and "sheep dung pellet" refer to the size of the moxa cone. The number of moxa cones used is predominantly odd numbers, usually ranging from 5 to 21. The main indications for fire moxibustion cover internal medicine, external medicine, gynecology, pediatrics, and various pain syndromes. The therapy advocates for treating acute conditions and heat syndromes with moxibustion. The manuscript also records detailed contraindications, including time-based and seasonal taboos. Moxibustion is applied to both local and distal acupoints, reflecting the therapeutic concept of treating both proximal and distal regions. Furthermore, it documents simple and practical acupoint localization methods such as surface anatomical markers, proportional bone measurement, finger measurement, and hand-span measurement. Compared with contemporaneous Chinese medical moxibustion techniques, the moxibustion methods recorded in this Fragment are rich in content and present unique Tibetan theoretical characteristics. It provides valuable data and evidence for the excavation, application, and further research of Tibetan acupuncture and moxibustion.
Moxibustion/instrumentation* ; Humans ; History, Ancient ; Medicine, Tibetan Traditional/history* ; Tibet ; Acupuncture Points

The Mofeng Ointment Formulation （MOF， 摩风膏方） is recorded in the Dunhuang manuscript Unnamed Treatise on the Pulse （《亡名氏脉经》） and stands as a representative ancient external therapeutic formula in traditional Chinese medicine （TCM）. Known for dispelling wind， activating blood circulation， warming the meridians， and relieving pain， it is particularly effective in treating rheumatic arthralgia. Through literature research， this paper systematically reviews the composition， preparation techniques， and clinical application characteristics of MOF. In recent years， advancements in modern pharmaceutical technology have led to the development of various innovative ointment-based formulations derived from the traditional recipe， such as Dunhuang Xiaoding Ointment （敦煌消定膏）， Dunhuang Xiaozhong and Zhentong Ointment （Patch） （敦煌消肿镇痛膏/贴）， Xiaoding Ointment （消定膏） gel patch， and Xiaoding Ointment （消定膏） cataplasm. These innovations explore pathways for transforming classical prescriptions into modern applications， providing a theoretical basis for the external TCM treatment of pain-related and orthopedic conditions.

Head and neck squamous cell carcinoma(HNSCC)is a highly prevalent malignancy with poor prognosis.Treatment strategies to date have achieved limited success in significantly improving overall survival rates.γδ T cells,a unique subset of immune cells in the tumor microenvironment,can link adaptive and innate immune functions.While γδ T cells can effectively recognize and eliminate HNSCC tumor cells,certain subsets of these cells can secrete interleukin-17,contributing to tumor progression.Nevertheless,due to their remarkable cyto-toxic activity,γδ T cells have been identified as promising candidates for antitumor immunotherapy.This article reviews the biological back-ground of γδ T cells,their role in tumor immunity in HNSCC,and recent advances in γδ T cell immunotherapy,aiming to provide new in-sights into HNSCC diagnosis and treatment.

Alzheimer's disease(AD)is a common neurodegenerative disease.Traditional Chinese medicine is effective in treating AD.The combination of disease and syndrome with animal model is the basis and premise of related research.In this paper,studies on non-transgenic AD animal models and AD disease and syndrome combined animal models are summarized.It was found that,there are eight common non-transgenic AD animal models,including aging type(natural aging type,rapid aging type and induced aging type)and injection-induced injury type(Aβ injection animal model,Tau damage type,damage model of cholinergic system,neuroinflammatory model and aluminum poisoning induction model).AD disease and syndrome combined with animal models include kidney deficiency/kidney deficiency and essence deficiency/kidney deficiency and pulp emptying,phlegm turbidity blocking orifice,blood stasis blocking collaterals,phlegm stasis interlocking,liver depression and phlegm fluid stagnation heat.In this paper,the advantages and disadvantages of each model replication method are reviewed,in order to provide reference and support for the future study of AD disease and syndrome combined with animal models.

Head and neck squamous cell carcinoma(HNSCC)is a highly prevalent malignancy with poor prognosis.Treatment strategies to date have achieved limited success in significantly improving overall survival rates.γδ T cells,a unique subset of immune cells in the tumor microenvironment,can link adaptive and innate immune functions.While γδ T cells can effectively recognize and eliminate HNSCC tumor cells,certain subsets of these cells can secrete interleukin-17,contributing to tumor progression.Nevertheless,due to their remarkable cyto-toxic activity,γδ T cells have been identified as promising candidates for antitumor immunotherapy.This article reviews the biological back-ground of γδ T cells,their role in tumor immunity in HNSCC,and recent advances in γδ T cell immunotherapy,aiming to provide new in-sights into HNSCC diagnosis and treatment.

Objective To investigate the influencing factors for frailty in elderly patients with mild ischemic stroke(MIS),construct a risk prediction model based on random forest algorithm and evaluate its application performance.Methods A total of 322 elderly MIS patients subjected by cluster sampling in the Neurodiagnosis and Treatment Center of our hospital during January and June 2022 were enrolled and divided into non-frailty group(n=261)and frailty group(n=61)according to the results of frailty screening scale.The general clinical data,and the scores of Daily Living Ability Scale,Simplified Geriatric Depression Scale,Social Support Rating Scale,36-Item Concise Health Questionnaire,and Simplified Intelligent State Examination Scale were compared between two groups.Random forest algorithm was used to construct a risk prediction model for frailty in the elderly MIS patients,and ROC curve was plotted to analyze the predictive value of the model.Results The incidence of frailty in elderly MIS patients was 18.94％.There were sta-tistical differences in age,marital status,monthly income,medical expense payment,sleep condi-tion and comorbidities in the frail group(P＜0.01).The frail group had significantly lower scores of support utilization,concise health status,physiological function,body pain,general health,social function,and emotional function,and higher scores of Activities of Daily Living Scale and the Simplified Geriatric Depression Scale than the non-frail group(P＜0.05).The random forest model obtained an accuracy of 88.28％,a sensitivity of 88.24％,a specificity of 88.89％,an F1 score of 0.933,and an AUC value of 0.816.Random forest algorithm ranked the important varia-bles influencing frailty in elderly MIS patients through variable importance scores,and the top five predictors were types of basic diseases(≥2 types),sleep condition,quality of life score,self-care ability score,and personal monthly income(＜2000 Yuan).Conclusion A risk prediction model for frailty in elderly MIS patients is constructed by using random forest algorithm.The model is helpful to identify key factors of frailty as early as possible,provide empirical evidence for clinical medical staff to implement early intervention,improve the health and quality of elderly MIS patients,and prevent or delay the occurrence of frailty.

Humans ; Cytomegalovirus ; Cytomegalovirus Infections ; Antigens, Viral ; Immunity ; Autoimmune Diseases ; CD8-Positive T-Lymphocytes

Objective:To establish risk stratifying criteria for acute rejection(AR)after kidney transplantation(KT)through analyzing the preoperative risk factors of KT recipients from deceased donor(DD).Methods:A retrospective study is conducted for 1 382 KT recipients of DD kidney at First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2020.According to the presence or absence of AR within 1 year post-KT, they are divided into two groups of acute rejection(group AR, 115 cases)and non-rejection(group non-AR, 1 267 cases). Clinical data of two groups are examined by univariate and multivariate analyses for determining the risk factors of AR and a scoring standard is established on the basis of regression coefficients.They are divided into three groups of low-risk(907 cases), middle-risk(450 cases)and high-risk(25 cases)according to the scoring results and the incidence of AR is compared among different scoring groups.Results:Univariate analysis indicates that donor age(AR, 793 cases; non-AR, 474 cases, P=0.033), age difference between recipients and donors≥25 years(AR, 63 cases; non-AR; 315 cases; P<0.001), recipient panel-reactive antibodies(PRA)plus donor-specific antibody(DSA)(+ )(AR, 96 cases; non-AR, 1 169 cases, P=0.002), donor kidney cold ischemic time≥12h(AR, 81 cases; non-AR, 1 064 cases, P<0.001), donor/recipient HLA mismatch≥3(AR, 70 cases; non-AR, 984 cases, P<0.001)and expanded criteria donor(ECD)(AR, 50 cases; non-AR, 790 cases, P<0.001)are high risk factors for AR(all P<0.05). Variables with statistical significance during univariate analysis are included for multivariate analysis.Five variables are finally determined, including age difference between recipients and donors≥25 years(β=0.61, P=0.006), PRA+ DSA(+ )(β=0.74, P=0.008), donor kidney cold ischemic time≥12 h(β=0.74, P<0.001), HLA mismatch(≥3)(β=0.81, P<0.001)and ECD(β=0.82, P<0.001). Score for each risk factor is calculated according to the relevant regression coefficient and scoring standard formulate on the basis of the above five risk factors with a total score of 36.With an overall incidence of AR at 8.32%(115/1 382), the incidence of AR is 4.3%, 14.7% and 40.0% in low/middle/high-risk group and the difference is statistically significant.It hints that immune risk stratification can effectively determine the risk of postoperative AR for KT recipients.The incidence of AR is significantly higher in middle/high-risk group than that in low-risk group ( P<0.001). Conclusions:For recipients with middle/high immune risk, intensity and dose of immunosuppressants should be appropriately boosted during preoperative induction and maintenance period.And the occurrences of AR and infection should be dynamically monitored.