OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

ObjectiveTo identify the pathogen species responsible for the wilt disease of Tetradium ruticarpum in Chongqing， investigate there biological characteristics， and screen effective fungicides， so as to provide a theoretical basis for disease control in production. MethodsThe pathogen was isolated via the tissue culture method. Pathogenicity was verified according to Koch's postulates. The pathogen was identified based on morphological characteristics and multi-gene phylogenetic analysis. The mycelial growth rate method was used for biological characterization of the pathogen and fungicide screening. ResultsThe pathogen colonies were nearly circular with irregular edges， white， short， velvety aerial hyphae， and pale purple undersides. Macroconidia were colorless， sickle-shaped， with 3-5 septa， while microconidia were transparent， elliptical， aseptate or with 1-2 septa. Multi-gene phylogenetic analysis showed that the pathogen clustered in the same clade as Fusarium fujikuroi with 100% support， which， combined with morphological characteristics， identified the pathogen causing wilt of T. ruticarpum in Chongqing as F. fujikuroi. The optimal conditions for the mycelial growth of F. fujikuroi were mung bean agar （MBA） with glucose as the carbon source， beef extract and yeast powder as nitrogen sources， 28 ℃， pH 7.0， and alternating light/dark conditions. The optimal conditions for sporulation were potato dextrose agar （PDA） with glucose as the carbon source， beef extract as the nitrogen source， 28 ℃， pH 7.0， and complete darkness. Among chemical fungicides， phenazine-1-carboxylic acid exhibited the strongest inhibitory effect on F. fujikuroi. Shenqinmycin and tetramycin were the most effective bio-fungicides. ConclusionThis study is the first to report F. fujikuroi as the causal agent of wilt disease in T. rutaecarpa. The chemical fungicide phenazine-1-carboxylic acid and the bio-fungicides shenqinmycin and tetramycin showed strong inhibitory effects against F. fujikuroi.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

The inflammatory microenvironment is closely associated with the initiation and progression of osteoarthritis （OA）， specifically manifesting as macrophage activation， dysregulation of inflammatory cytokines， and redox imbalance. Following an overview of the pathological characteristics of the OA inflammatory microenvironment， this paper reviews the research progress on the mechanism of traditional Chinese medicine （TCM） intervening in OA by modulating the inflammatory microenvironment. It has been found that TCM monomers/active ingredients （such as total alkaloids from Strychnos nux-vomica ， quercetin， triptolide， etc.）， herb pairs （e.g. Angelica pubescens - Gentiana macrophylla ， Carthami Flos-Lycopodii Herba）， and TCM formulas （such as Zhuanggu jianxi formula， Duhuo jisheng decoction and Rongjin niantong formula， etc.） can inhibit macrophage activation， reduce the release of proinflammatory cytokines and the generation of reactive oxygen species by inhibiting multiple signaling pathways， including nuclear factor-κB， Wnt/ β -catenin， and mitogen-activated protein kinase， thereby alleviating the articular inflammatory microenvironment， restoring local joint homeostasis， and slowing the progression of OA.

OBJECTIVE:It has been confirmed that neuromodulation technology can improve the clinical symptoms of patients with Parkinson's disease,and there are differences in the efficacy of different neuromodulation stimulation methods.Herein,a network meta-analysis was used to evaluate the efficacy of different neuromodulation stimulation modalities in improving non-motor symptoms such as sleep disorders and depression and anxiety in patients with Parkinson's disease,thereby exploring the optimal neuromodulation stimulation regimen.METHODS:The Chinese Biomedical Literature Database,WanFang Database,VIP Database,CNKI Database,Web of Science,PubMed,The Cochrane Library,and EMbase databases were searched for randomized controlled trials on neuromodulation techniques to improve sleep disorders,depression and anxiety in patients with Parkinson's disease.The control group was treated with conventional treatments(drugs,conventional rehabilitation therapy,etc.)or sham stimulation,and the experimental group was supplemented with neuromodulation technology on the basis of the control group.The quality of the included studies was evaluated using the PEDro scale and the deviation risk assessment tool recommended by the Cochrane Collaboration.RevMan 5.4 and Stata 17.0 were used for network meta-analysis of the four outcomes(sleep disorders,anxiety symptoms,depressive symptoms,and quality of life).RESULTS:(1)Twenty-nine randomized controlled trials involving six neuromodulation stimulation modalities were included.These modalities were transcranial direct current stimulation,high-frequency repetitive transcranial magnetic stimulation,low-frequency repetitive transcranial magnetic stimulation,deep brain stimulation of the subthalamic nucleus,deep brain stimulation of the globus pallidus,multi-target deep brain stimulation.(2)The results of network meta-analysis showed that compared with conventional treatment,transcranial direct current stimulation[standardized mean difference(SMD)=-2.57,95％confidence interval(CI)=-4.52 to-0.63,P＜0.05)had the best effect in improving sleep disorders in patients with Parkinson's disease.In terms of improving depressive symptoms,deep brain stimulation of the globus pallidus(SMD=-1.00,95％CI=-1.87 to-0.14,P＜0.05)had the best effect,followed by low-frequency repetitive transcranial magnetic stimulation(SMD=-0.91,95％CI=-1.60 to-0.23,P＜0.05),deep brain stimulation of the subthalamic nucleus(SMD=-0.82,95％CI=-1.56 to-0.08,P＜0.05),and high-frequency repetitive transcranial magnetic stimulation(SMD=-0.75,95％CI=-0.97 to-0.53,P＜0.05).In terms of improving anxiety symptoms,high-frequency repetitive transcranial magnetic stimulation(SMD=-0.86,95％CI=-1.54 to-0.18,P＜0.05)had the best effect.In terms of improving the quality of life,deep brain stimulation of the globus pallidus(SMD=-0.79,95％CI=-1.55 to-0.04,P＜0.05)had the best efficacy,followed by high-frequency repetitive transcranial magnetic stimulation(SMD=-0.63,95％CI=-0.90 to-0.36,P＜0.05)and transcranial direct current stimulation(SMD=-0.50,95％CI=-0.80 to-0.19,P＜0.05).CONCLUSION:Neuromodulation technology has significant efficacy in improving non-motor symptoms in patients with Parkinson's disease.Transcranial direct current stimulation has the best efficacy in improving sleep disorders,deep electrical stimulation of the medial cerebral part of the globus pallidus has the best efficacy in improving depressive symptoms,high-frequency repetitive transcranial magnetic stimulation has the best efficacy in improving anxiety symptoms,and deep electrical stimulation of the globus pallidus has the best efficacy in improving quality of life.

This paper summarizes Professor WANG Yaoxian's experience in treating diabetic kidney disease （DKD） from the perspective of spleen and stomach based on the "internal heat leading to concretions" theory. It is considered that internal heat leading to concretions constitutes the core pathogenesis of DKD， with the spleen and stomach serving as the source of internal heat； therefore， treatment should be based on regulating the spleen and stomach. In the early stage of DKD， dysfunction of the spleen and stomach leads to the initial generation of internal heat. Common syndrome patterns include gastrointestinal heat accumulation and constrained heat in the liver and stomach， for which modified Gegen Qinlian Decoction （葛根芩连汤） can be used to clear heat bind while modified Dachaihu Decoction （大柴胡汤） is used to clear stomach and soothe liver， respectively. In the middle stage of DKD， weakness of the spleen and stomach results in the initial formation of concretions and conglomerations. Common patterns include spleen deficiency with prevalence of dampness and deficiency of both the spleen and kidney. Treatment emphasizes strengthening the spleen and resolving dampness， raising yang and boosting the stomach with modified Shengyang Yiwei Decoction （升阳益胃汤）， or supplementing spleen and boosting kidney， dissipating bind and dispe-ring concretions with modified Shenqi Dihuang Decoction （参芪地黄汤）， respectively. In the late stage of DKD， it is characterized by spleen and stomach depletion， and rampant accumulation of turbidity and toxin， and the common syndrome patterns are damp-turbidity obstruction in the middle jiao （焦） and spleen-kidney yang deficiency. Treatment aims to remove turbidity and harmonize the stomach， or to warm the kidney and strengthen the spleen while elimina-ting turbidity， using modified Dahuang Gancao Decoction（大黄甘草汤） and Jupi Zhuru Decoction （橘皮竹茹汤） or modified Baoyuan Decoction （保元汤） and Lizhong Decoction （理中汤）， respectively. In clinical practice， appropriate formulas and medications are flexibly selected according to specific syndromes.

This paper proposes a five-in-one diagnosis and treatment model of "disease-mechanism-syndrome-symptom-method" based on treatment guided by mechanism differentiation. The model consists of five component including disease identification， mechanism differentiation， syndrome differentiation， symptom differentiation， and the formulation of therapeutic strategies. Disease identification refers to the diagnosis of diseases in both traditional Chinese medicine （TCM） and western medicine， aiming to clarify disease progression rules. Mechanism differentiation focuses on grasping the essential characteristics of the disease. Syndrome differentiation emphasizes the stage-specific features of disease evolution. Symptom differentiation highlights the patient's most urgent complaints and suffering. Finally， a comprehensive therapeutic strategy is developed， including internal medication， external applications， and non-pharmacological therapies. The five components of "disease-mechanism-syndrome-symptom-method" are organized in a sequential and progressive manner， forming an integrated whole that spans the entire diagnostic and therapeutic process.Disease identification represents the starting point， while mechanism differentiation serves as the core， and therapeutic formulation is the endpoint of the model， with the aim of achieving more precise treatment and improving clinical efficacy.

This paper proposes a five-in-one diagnosis and treatment model of "disease-mechanism-syndrome-symptom-method" based on treatment guided by mechanism differentiation. The model consists of five component including disease identification， mechanism differentiation， syndrome differentiation， symptom differentiation， and the formulation of therapeutic strategies. Disease identification refers to the diagnosis of diseases in both traditional Chinese medicine （TCM） and western medicine， aiming to clarify disease progression rules. Mechanism differentiation focuses on grasping the essential characteristics of the disease. Syndrome differentiation emphasizes the stage-specific features of disease evolution. Symptom differentiation highlights the patient's most urgent complaints and suffering. Finally， a comprehensive therapeutic strategy is developed， including internal medication， external applications， and non-pharmacological therapies. The five components of "disease-mechanism-syndrome-symptom-method" are organized in a sequential and progressive manner， forming an integrated whole that spans the entire diagnostic and therapeutic process.Disease identification represents the starting point， while mechanism differentiation serves as the core， and therapeutic formulation is the endpoint of the model， with the aim of achieving more precise treatment and improving clinical efficacy.

ObjectiveTo characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics， and to investigate the influence of sweating processing on the constituents of B. balsamifera. MethodsUltra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） metabolomics was used to identify the metabolites in no sweating group（F1）， sweating 2 d group（F2） and sweating 4 d group（F3）， the differences of metabolites between the groups were compared by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， and differential metabolites were screened according to the variable importance in the projection（VIP） value>1 and P<0.05， and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultsThe results of PCA and OPLS-DA showed a clear distinction between the three groups of samples， indicating significant differences in the compositions of the three groups of samples. A total of 433 differential metabolites were screened between the F1 and F2， with 154 up-regulated and 279 down-regulated， the significant up-regulated metabolites were tangeritin， 5-O-demethylnobiletin and so on， while the metabolites with significant down-regulation included alternariol， fortunellin， etc. A total of 379 differential metabolites were screened between the F2 and F3， with 150 up-regulated and 229 down-regulated， the significant up-regulated metabolites were isoimperatorin， helianyl octanoate and so on， and the significant down-regulated metabolites were hovenoside I， goyasaponin Ⅲ， etc. KEGG pathway enrichment analysis showed that tyrosine metabolism， isoquinoline alkaloid biosynthesis， phenylalanine， tyrosine and tryptophan biosynthesis， tryptophan metabolism， valine， leucine and isoleucine biosynthesis， pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B. balsamifera after sweating treatment. ConclusionSweating can reduce the content of endophytic mycotoxins in B. balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin. This study can provide a reference for the process research on the sweating conditions of B. balsamifera.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.