OBJECTIVES:To elucidate the neuroimmune regulatory mechanism of the circadian rhythm gene KLF10 as a biomarker for anxiety depressive disorder (ADD). METHODS:The differentially expressed circadian rhythm genes were screened using human peripheral blood gene chip data from the GEO database (including 64 healthy individuals, 62 patients with major depressive disorder [MDD], and 59 with ADD) in conjunction with the MSigDB database. Weighted gene co-expression network analysis and machine learning models were employed to identify the core genes, followed by KEGG pathway enrichment analysis and evaluation of their diagnostic efficacy using ROC curves. In a male SD rat model of ADD induced by chronic restraint and corticosterone stress, the changes in depressive-like behaviors, hippocampal and amygdala pathologies, levels of inflammatory and pro-inflammatory cytokines, co-localization of KLF10 and p-p65 expression, and expression levels of NF‑κB/NLRP3 pathway molecules were examined following stereotactic AAV virus injection into the lateral ventricle for KLF10 overexpression. RESULTS:Compared with healthy individuals, the depressive patients showed differential expressions of 9 circadian rhythm genes. Compared with the MDD patients, the patients with ADD had significantly higher immune infiltration scores with upregulated NOD-like receptor and NF‑κB signaling pathways. The specific biomarker KLF10 demonstrated a diagnostic efficacy of 0.885. In the rat models of AOD, KLF10 overexpression significantly ameliorated depression- and anxiety-like behaviors, restored the balance between the pro- and anti-inflammatory cytokines, and improved hippocampal and amygdala pathologies. KLF10 overexpression also markedly upregulated NFKBIA mRNA, downregulated NLRP3 and RELA mRNAs, and reduced protein expressions of p-IκB‑α, p-p65, and NLRP3 in the brain tissues of the rats. CONCLUSIONS:KLF10 overexpression ameliorates ADD behaviors in rats by inhibiting hippocampal-amygdala inflammation via downregulating the NF‑κB/NLRP3 pathway, suggesting the potential of KLF10 as a diagnostic biomarker and therapeutic target for AOD.

BACKGROUND:Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which has been shown to be closely related to neuroimmune abnormalities. Currently, specific biomarkers have not been identified as diagnostic, differential, and therapeutic targets. This study aimed to explore the molecular mechanisms and diagnostic biomarkers of ADD and elucidate its association with neuroinflammation. METHODS:Differentially expressed circadian rhythm-related genes were screened. Key genes were identified by machine learning. An ADD rat model was established using chronic restraint stress combined with corticosterone administration. Using AAV virus tools for KLF-10 overexpression and knockout (KLF10-OE and shKLF10), depression-like and anxiety-like behaviors were evaluated through behavioral experiments, pathological changes in the hippocampus and amygdala were observed by Nissl staining, cytokine levels were detected by ELISA, molecular co-localization was performed by RNAscope ISH and immunofluorescence, and molecular expression of NF-κB/NLRP3 pathway was detected by Western blot and qRT PCR. RESULTS:Nine circadian rhythm-related genes showed significant differential expression, with KLF10 identified as a diagnostic biomarker. KLF10 overexpression ameliorated depressive-like and anxiety-like behaviors, and reduced pro-inflammatory factors (IL-1β, TNF-α) and increased anti-inflammatory factors (IL-10, TGF-β) in both brain and serum, the treatment can be blocked by PMA. KLF10 suppressed IκB-α phosphorylation-mediated NF-κB nuclear translocation and inhibited downstream molecules. CONCLUSION:KLF10 mitigates hippocampal-amygdala neuroinflammation by downregulating the NF-κB/NLRP3 pathway, thereby alleviating a ADD symptoms, and represents a potential diagnostic biomarker and therapeutic target.

BackgroundPost-stroke depression (PSD) is a common neuropsychiatric condition after stroke, but its resting-state functional imaging correlates remain incompletely characterized. This study examined multi-level resting-state functional differences between patients with PSD and healthy controls and evaluated whether interpretable machine learning could identify candidate imaging features associated with PSD.MethodsFifty patients with PSD and 50 age- and sex-matched healthy controls underwent resting-state functional MRI. Four complementary imaging indices were extracted using the AAL atlas: amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), degree centrality (DC), and ROI-to-ROI functional connectivity (FC). Imaging features were adjusted for demographic variables, head motion, medication use, and stroke-related factors where appropriate. Candidate features with significant between-group differences were further reduced using LASSO regression. Nine machine-learning classifiers were trained and compared under the same feature-selection framework. Model performance was assessed primarily by ROC-AUC. SHapley Additive exPlanations (SHAP) were used to examine the contribution of individual features to the best-performing model.ResultsPatients with PSD showed distributed resting-state functional differences involving cingulate, thalamic, prefrontal, insular, posterior default-mode, and visual-associated regions. Twenty-nine candidate features differed between groups, including 7 ReHo, 8 ALFF, 6 DC, and 8 FC features. LASSO retained 10 core features, with a cross-validated AUC of 0.878. Among the nine classifiers, the Extra Trees model achieved the highest independent test-set performance, with an AUC of 0.889. SHAP analysis indicated that the most influential features included DC in the left anterior cingulate and paracingulate gyri, ReHo in the left thalamus, FC between the left precuneus and left calcarine cortex, ALFF in the right precuneus, and ALFF in the left angular gyrus. Within the PSD group, moderate depression was associated with higher ALFF in the left insula and lower precuneus-calcarine connectivity compared with mild depression.ConclusionsPatients with PSD showed multi-level resting-state functional differences compared with healthy controls. Interpretable machine learning identified a set of candidate rs-fMRI features with plausible neurobiological relevance. These findings require validation in larger longitudinal cohorts that include post-stroke patients without depression to clarify their specificity and clinical utility.

BACKGROUND:Stroke patients are prone to gastrointestinal dysfunction, with a significantly higher risk of fecal incontinence (FI), which severely affects their quality of life. AIMS:We investigated the incidence and associated risk factors of FI in stroke patients. SUMMARY OF REVIEW:Stroke patients who met the inclusion and exclusion criteria were consecutively recruited at one university medical center from January 2022 to December 2024. FI occurred in 220 of 1359 stroke patients (16.19%). Logistic regression analysis revealed that age, gender, cognitive impairment, National Institutes of Health Stroke Scale (NIHSS) admission score, antibiotic use, and gavage feeding were closely associated with FI incidence in stroke patients. Subsequently, a systematic review and meta-analysis of observational studies followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Studies were included if they reported the incidence or risk factors of FI in stroke patients. Subgroup analyses were conducted according to the stage of stroke and survey site. The forest plot showed that the incidence of post-stroke FI was 24.42% (95% confidence interval (CI) = 15.11-33.72). On subgroup analysis, the incidence of FI was 25.73% (95% CI = 14.61-36.86) in the acute stage and 15.99% (95% CI = 9.32-22.67) in the rehabilitation stage. Meanwhile, the incidence of FI in the hospital-based stroke patients was 25.31% (95% CI = 11.37-39.26), which was higher than that in the community-dwelling stroke patients (15.14%, 95% CI = 2.26-28.02). CONCLUSION:The incidence of post-stroke FI is relatively high. Age, gender, cognitive impairment, NIHSS score, antibiotic use, and gavage feeding are closely associated with FI occurrence in stroke patients.

Introduction: Major Depressive Disorder (MDD) is becoming a highly prevalent psychosomatic disease worldwide, posing a serious threat to citizens' health. CNS inflammation is one of the important causes of MDD. Herbal medication Chaihu-Longgu-Muli Decoction (CLM) has antidepressant activity, but the mechanism is still unclear. Methods: This study used CLM as a therapeutic drug and fluoxetine as a positive control to observe its behavioral, pathological, and molecular biological effects on CUMS depression model rats at different dose gradients. Practical LC-MS analysis was used to analyze its main components, and four pathological methods including HE, Nissl, IF, and TEM were used to observe neuropathological changes, polarization typing of microglia, and subcellular changes. WB and PCR were used to observe the molecular levels upstream and downstream of the NLRP3 pathway. Results: The stimulation of CUMS causes inflammatory damage in hippocampus, excessive M1 polarization of microglia, and neuronal pyroptosis. The therapeutic effect of CLM is dose-dependent, and the neuroprotective effect of high-dose CLM is not inferior to that of fluoxetine. CLM promotes M2 polarization of microglia, reduces NLRP3 inflammasome synthesis, downregulates the NLRP3 pathway, thereby preventing neuronal pyroptosis and reducing the release of proinflammatory cytokine. Discussion: CLM can give evidences in antidepression that downregulate the NLRP3 pathway, alleviate hippocampal inflammation and anti-pyroptosis. Further research is needed to verify the in vitro neuroprotective effect and control the inhibition of pyroptosis in enriching its antidepressant mechanism.

IntroductionEstradiol is a sex steroid hormone, which has been implicated in the pathogenesis of Alzheimer’s disease and cognitive impairment. This cross-sectional study aimed to examine the relationship between serum estradiol levels and cognitive performance in older American women.MethodsData were obtained from the National Health and Nutrition Examination Survey 2013–2014. A total of 731 women aged ≥60 years who met the inclusion criteria were included in this study. Serum estradiol levels were measured using the isotope dilution liquid chromatography tandem mass spectrometry (ID-LC–MS/MS) method developed by the Centers for Disease Control and Prevention for routine analysis. All measured serum levels were further divided into three parts: T1, <3.68 pg./mL; T2, 3.68–7.49 pg./mL; T3, >7.49 pg./mL, and analyzed. Participants’ cognitive abilities were tested using the Vocabulary Learning Subtest (CERAD), Animal Fluency Test (AFS), and digital symbol substitution test (DSST). Scores for each test were calculated based on the sample mean and standard deviation (SD). To examine the relationship between serum estradiol level tertiles and cognitive scores, multiple linear regression models were developed, controlling for race/ethnicity, education level, hypertension, diabetes, and insomnia.ResultsThe mean age of the participants was 69.57 ± 6.68 years. The non-Hispanic whites were 78.95%, and those who had completed at least some college-level education were 60.62%. The mean BMI of the participants was 29.30 ± 6.79, and 10.85% had a history of smoking. Further, 73.41% did not have a history of alcohol consumption, and 63.03% had hypertension (63.03%). In addition, 81.81 and 88.3% did not have a history of diabetes mellitus and did not have sleep disorders, respectively. The mean serum estradiol level was 8.48 ± 0.77 pg./mL. Multivariate linear regression of the reference group consisting of participants in tertiles of serum estradiol levels revealed that one unit increase in serum estradiol levels increased DSST scores by 0.61 (0.87, 6.34) in the T3 group. However, no significant correlation was found in the CERAD and AFS tests.ConclusionParticipants with higher estradiol levels had higher DSST scores and better processing speed, sustained attention, and working memory, suggesting that serum estradiol may serve as a biomarker for cognitive decline in older women.

Background: Effect of education attainment and nutritional status on the development of cognitive impairment in Chinese elderly has not been reported. Objective: To investigate the role of education and nutrition in preventing cognitive impairment in the hospitalized Chinese elderly. Methods: Cognitive function was examined using the scoring system of Mini-Mental State Examination (MMSE) domains performed under instruction of Physicians of Geriatrics. Generalized linear mixed-effect regression was used for analyzing the association of demographic factors (age and gender), socioeconomic factors (education attainment and monthly income), as well as health-related factors (nutritional status, comorbidity, anxiety, and depression) and MMSE scores. Results: Total 246 hospitalized Chinese elders were enrolled into this study. Of them, 96 participants were 60-70 years old, 65 participants were 71-80 years old, and 85 of them were 81 years or older. Of the examined factors, we found that age, education attainment, and nutritional status were significantly associated with the outcome of MMSE scores, while monthly income and health condition (comorbidity, anxiety, and depression) were not significantly associated with MMSE score. Furthermore, education attainment was significantly associated with majority of the MMSE domains, including orientation, registration, attention and calculation, recall, and most of language sub-domains. Conclusion: Education attainment and nutritional status were significantly associated with MMSE scores in the hospitalized Chinese elderly. Higher education and better nutritional status are protective factors for the development of cognitive impairment in the hospitalized elderly Chinese population.

Liangxue Tongyu Prescription (LTP) is a classic herbal formula for treating acute intracerebral hemorrhage (AICH) in China. Previous studies have shown that LTP significantly ameliorates neurological impairments and gastrointestinal dysfunction in patients with AICH. However, the underlying molecular mechanism remains unclear. The aim of this study is to investigate whether LTP exerts its neuroprotective effect on AICH rats through the microbiota-gut-brain axis and explore its potential underlying mechanism. In the current study, AICH models were established by injecting autologous whole blood into the right caudate nucleus of rats. Behavioural and pathological evaluations demonstrated that LTP ameliorated neuronal and intestinal damage in AICH rats. Analysis via western blot, quantitative real-time PCR, immunohistochemistry (IHC) and tunel staining indicated that LTP upregulated the expression of brain-derived neurotrophic factor (BDNF) and nerve growth factor(NGF) and reduced neuronal cell apoptosis. Additionally, 16S rDNA sequencing revealed that LTP mitigated dysbiosis of intestinal microbiota in AICH rats. LTP increased the levels of noradrenaline (NA), dopamine (DA), glutamate (GLU) and modulated brain-gut peptides such as gastrin (GAS), motilin (MTL), ghrelin in AICH rats. Furthermore, LTP enhanced vagus nerve discharge. In summary, this research provides evidence suggesting that LTP’s influence on AICH may involve modulation of the microbiota-gut-brain axis, offering a potential scientific rationale for its therapeutic efficacy in improving outcomes of AICH.

Inflammatory reactions after acute intracerebral hemorrhage (AICH) contribute significantly to a poor prognosis. Liangxue Tongyu Prescription (LTP) has been proven to be clinically effective in treating AICH. Numerous studies have shown that LTP suppresses brain inflammatory damage in AICH, while the internal mechanisms underlying its action remain unclear. The aim of this study was to verify the anti-inflammatory effects of LTP on an AICH rat model and investigate the potential mechanisms. The AICH rat models were created by injecting autologous blood into the right caudate nucleus. LTP markedly decreased cerebral hematoma and brain water content and recovered from neurological deficits. Meanwhile, LTP prevented microglial activation and reduced the inflammatory reaction caused by pro-inflammatory cytokines, such as tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and interleukin-6 (IL-6). Notably, the expression of cholecystokinin octapeptide (CCK-8) in the brain and intestine was increased by LTP or CCK-8 treatment. LTP further suppressed nuclear factor kappa B (NF-κB) in the brains of rats with AICH. Moreover, LTP increased the protein and mRNA expression of Occludin and Claudin-1 in the intestine and decreased the levels of lipopolysaccharide (LPS) and diamine oxidase (DAO) in serum. Furthermore, the results showed that LTP increased the protein and mRNA expression of Claudin-5 and zonula occludens-1 (ZO-1) in the brain. CCK-8 receptor antagonists increased the expression of NF-κB and the concentration of pro-inflammatory cytokines. These findings suggested that LTP attenuated neuroinflammation by increasing CCK-8 in the brain and intestine, and its mechanism might be related to alterations in the gut-brain axis (GBA).

This study aims to observe the therapeutic effect of Gushen Shetuo decoction on Parkinson's disease (PD), so as to provide reference for clinical practice. In order to demonstrate the clinical value of Gushen Shetuo Decoction, we selected 80 patients with PD for the study. Among them, 38 patients received the Gushen Shetuo decoction (research group), and 42 patients received Levodopa and Benserazide Hydrochloride Tablets (control group). There was no difference in Non-Motor Symptoms Scale (NMSS) scores between the research group and the control group (P>0. 05). However, the scores of motor complications in Movement Disorder Society-sponsored revision of the Parkinson's Disease Rating Scale (MDS-UPDRS) and those of Drooling Severity and Frequency Scale (DSFS) in the research group were lower than those in the control group (P<0. 05). Subsequently, we established PD model rats, and after Gushen Shetuo Decoction gavage treatment, we found that rats in the intervention group had increased mobility (P<0. 05), as well as notably improved pathological damage of substantia nigra and striatum. Also, the expression of PERK, ATF4 and CHOP in the brain tissues of rats in the intervention group was lower than those in the control group (P<0. 05). These results confirm that Gushen Shetuo decoction effectively improved the drooling of patients with PD and showed high safety. Copyright: (c) 2023 by the C.M.B. Association. All rights reserved.

早临床、勤临床、反复临床是中医人才培养的重要法宝,临床实习是医学生培养的重要途径和手段,也是培养中医临证思维的黄金时期.门诊是发挥中医特色优势的重要阵地,但由于业务量大,带教老师难有充足的时间和精力进行规范的带教,导致实习生中医思维的培养力度削弱或缺失.建立教学门诊实训平台,探讨中医教学的新路径,能够促进中医人才的培养及中医学的传承和发展,根据辨证论治基本方法,制订"八大步骤中医门诊案例式诊疗及带教方案",采用"群师带群徒"的方法,遴选学验俱丰的带教老师,规范带教路径,明确带教要求,使本科生在临床实习阶段能够养成良好的中医临证思维习惯,掌握正确的中医辨证思维模式,从而提高综合运用知识的技能,加强理论与临床过渡阶段的有机衔接.

Traditional Chinese medicine（TCM） is broad and profound. Tongue diagnosis can reflect the profound meaning of syndrome differentiation and treatment. However, it is difficult to diagnose qualitatively and quantitatively because of its abstract theory, which also affects the judgment and exertion of curative effect. This paper preceded the study on the homology of I Ching and TCM, and the profound meaning of tongue image, proposed that tongue image was the symbol of holographic and mesoscopic biological function in TCM, which presented the image of double Taiji and double five elements combined from the image number of Hetu and Luoshu. This paper proposed that the reference standard of syndrome differentiation should be based on the principle of single trigram and double trigrams from I Ching, and proposed the idea to achieve accurate syndrome differentiation and transformation from abstract to concrete by admeasurements of standard of syndrome differentiation and nonstandard difference of syndrome differentiation. This paper preliminary studied on re-positioning of Tongue image, accurate syndrome differentiation, transformation of test results, proposed the solution of achieving accurate syndrome differentiation was to calculate the property and quantity of yin, yang and five elements of meridian.

过伟峰教授认为多系统萎缩属于中医学"眩晕""痿证""骨摇""颤证"等范畴,肾虚为病理基础,治疗以益肾填精为主,方用地黄饮子加减.由于病程较长,易损及脾胃,耗伤气血,出现多种变证,故注重权衡兼夹证候的主次治疗.

情志病多指因为情绪刺激过于激烈,超过了人体所能调节的范围,从而导致人体气血失调、功能紊乱的一类疾病.该病的主要表现为情志异常,如郁证、不寐、躁狂等.现代研究表明,随着人们高效、快节奏的工作生活方式,该病的发病率呈逐渐上升的趋势.《柳洲医话》:"七情之病,必由肝起."又"郁而不舒,则皆肝木之病矣".情志病病机总属肝失疏泄,气机郁结,肝为病变的核心关键.文章从肝入手,指出临床辨治时当分清气血阴阳、虚实盛衰,抓住本质探究病因.根据具体病情,以疏肝解郁为治疗原则,病证结合治疗才能收到良好的效果.

文章通过分析脑病的病因病机,依据芍药甘草汤养阴缓急的功用,灵活化裁,应用于卒中后痉挛性瘫痪、帕金森病、面(睑)肌痉挛、偏头痛、枕神经痛、不宁腿综合征等脑病的诊治,并阐述相应组方思路.

发作性睡病是一种原因不明的慢性睡眠障碍,临床上以不可抗拒的短期睡眠发作为特点,多于儿童或青年期起病.西医治疗本病的药物有中枢神经系统兴奋剂、抗抑郁剂、γ羟丁酸钠,但此类药物不良反应较多,患者难以坚持治疗.中医学关于本病的认识历史悠久,根据症状将其归属于中医学中"多寐""嗜卧"等范畴.临证中,结合患者体质、辨证论治,多从脾虚、痰湿等方面入手,可取得良好疗效.过伟峰教授秉承中医理论对脾的认识,认为本病病本为脾气虚弱,痰湿、痰热等病理因素贯穿疾病始终,化痰开窍为治疗本病基本大法.黄连温胆汤出自《六因条辨》,具有清热泻火,化痰开窍的功效,凡符合痰热的病机者皆可使用.文章中介绍过伟峰教授运用黄连温胆汤治疗发作性睡病的理论思想,并附病案一则,以窥过师辨证论治之思路.

失眠是临床常见病、多发病.临床发现,脾与失眠密切相关.脾主运化、统血,为气血生化之源,脾虚气血生化乏源,心神失养,致心脾两虚型失眠;肝郁乘脾,致脾运失健,运化失职,心神无所养,发为肝郁脾虚型失眠;脾喜燥恶湿,为生痰之源,脾虚失运,积湿生痰,蕴久化热,痰热上扰于心,心神失宁,致痰热扰神型失眠.治疗可分别采用健脾益气、宁心安神,方选归脾汤;疏肝行气、健脾安神,方选自拟逍遥安神汤;燥湿健脾、清化痰热,方选黄连温胆汤.验之临床,获效满意.附验案3则以佐证.

目的 评价潜在类别模型在出血性中风辨证分类研究中对于潜在证候类型探索的效果.方法 利用R软件poLCA包,采用潜在类别模型对 480 例出血性中风患者的 62 条证候要素信息进行建模分析,筛选合适的适配模型,提取各潜在类别中包括的证候要素,定义各潜在类别的证候类型,并对患者进行分类预测.结果 通过比较选择了潜在类别数为 3 的模型,将 62 条证候要素汇聚成了中脏腑脱证、中脏腑闭证之中脏、中脏腑闭证之中腑 3 个潜在证候类型,并通过预测将 480 名患者分别归到 3 个亚组,人数分别为 237、165、78 人.结论 潜在类别模型可以探索出血性中风的潜在证候分类,分类结果符合中医理论,在出血性中风辨证分类研究中,可将其分类结果作为参考.

Aim: Chaihu-jia-Longgu-Muli-tang (CLM) is derived from “Shang Han Lun” and is traditionally prescribed for treating depression. However, there is still a lack of evidence for its antidepressant effects, and the underlying mechanism is also unclear. This study aimed to assess clinical evidence on the efficacy of CLM in patients with depression using a meta-analysis and to explore its underlying antidepressant molecular mechanisms via network pharmacology.Methods: Eight open databases were searched for randomized controlled trials (RCTs) comparing the effects of CLM alone or combined with serotonin-norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs) in patients with depression, evaluating the total effective rate of the treatment group (CLM alone or combined with SSRIs/SNRIs) and the control group (SNRIs or SSRIs), and comparing changes in depression scale, anxiety scale, sleep scale, inflammation indicators and adverse effects. Subsequently, the active ingredients and target genes of CLM were screened through six databases. Then Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein-protein interaction (PPI) network and topology analysis were performed. Finally, Molecular docking was applied to evaluate the binding affinity between components and predicted targets.Results: Twenty-four RCTs with a total of 2,382 patients were included. For the efficacy of antidepression and adverse effects, whether CLM alone or in combination with SSRIs/SNRIs, the treatment group has no inferior to that of the control group. Additionally, the intervention of CLM + SSRI significantly improved the symptoms of anxiety and insomnia, and reduced serum IL-6 and TNF-α levels. For network pharmacology, a total of 129 compounds and 416 intersection targets in CLM were retrieved. The interaction pathway between CLM and depression is mainly enriched in PI3K-Akt, JAK-STAT, and NF-κB signaling pathway, PIK3R1, MAPK3, and AKT1 may be the potential targets of Stigmasterol, β-stiosterol, coumestrol.Conclusion: Compared to SSRIs/SNRIs alone, CLM is more effective and safe in treating depression. It not only significantly alleviates depressive mood, but improves symptoms such as anxiety and insomnia, with fewer side effects, especially in combination with SSRI. Its antidepressant mechanism may be correlated with the regulation of the PI3K/Akt signaling pathway and inhibiting inflammatory response.

面肌痉挛是以一侧面部肌肉间断性、不自主阵挛性抽动或者无痛性强直为表现的周围神经疾病,具有反复发作,缠绵难愈的特点,中西医治疗均无特效.通过审证求机,认为阴虚风动是面肌痉挛的病机特征,肝风夹痰为患而致反复难愈,临床采用养阴息风、化痰止痉法治疗.然草木之药味轻力薄,难取速效.虫类药钻透剔邪,擅治顽难之症,其搜风涤痰止痉之功治疗本病力厚效宏,辨证使用虫类药治疗面肌痉挛是提高疗效的关键.