BackgroundMetabolic syndrome (MetS) poses an increasing threat to global health. Dietary patterns are recognized as modifiable factors related to MetS, but evidence on the associations of a priori dietary patterns with MetS remains inconsistent across studies.MethodsEmbase, Web of Science, and PubMed were systematically searched up to March 20, 2025. Observational studies (cross-sectional, cohort, case–control) exploring the associations of a priori dietary patterns with MetS were included. The Joanna Briggs Institute tool and the Newcastle-Ottawa Scale were applied to assess the study quality. The certainty of the pooled evidence was assessed via the Grading of Recommendations Assessment, Development and Evaluation approach. A random-effects model was adopted to combine effect sizes.ResultsThirty-nine studies were incorporated. Categorical analyses showed that higher dietary inflammatory index (DII) was associated with higher prevalence of MetS (odds ratio [OR] [95% confidence interval (CI)]: 1.33 [1.23–1.43], p < 0.001). Higher Oxidative Balance Score (OBS) was associated with lower prevalence of MetS (0.48 [0.41–0.58], p < 0.001). High adherence to the Mediterranean diet (MD), Dietary Approaches to Stop Hypertension (DASH), Dietary Diversity Score (DDS), or Healthy Eating Index (HEI) showed no significant associations with MetS. Given the limited data for continuous variables, continuous analyses were only conducted for OBS and MD. These continuous analyses indicated that higher OBS and MD scores were associated with lower prevalence of MetS (for OBS: 0.94 [0.92–0.96], p < 0.001; for MD: 0.89 [0.83–0.96], p = 0.001).ConclusionA priori dietary patterns are closely associated with MetS. Promoting anti-inflammatory, antioxidant-rich, and Mediterranean-style eating patterns may be associated with lower prevalence of MetS, which could provide potential implications for the prevention and management of MetS. However, causal inference remains limited, and further prospective studies and trials are needed.Systematic review registrationUnique identifier: CRD420251043513, https://www.crd.york.ac.uk/PROSPERO/view/CRD420251043513

Atherosclerosis (AS) is a leading cause of death and disability in type 2 diabetes mellitus (T2DM). However, the shared molecular mechanisms linking T2DM and atherosclerosis have not been fully elucidated. We analyzed AS- and T2DM-related gene expression profiles from the Gene Expression Omnibus (GEO) database to identify overlapping differentially expressed genes and co-expression signatures. Functional enrichment (Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG)) and protein-protein interaction (PPI) network analyses were then used to describe the pathways and interaction modules associated with these shared signatures, We next applied the cytoHubba algorithm together with several machine learning methods to prioritize hub genes and evaluate their diagnostic potential and combined CIBERSORT-based immune cell infiltration analysis with single-cell RNA sequencing data to examine cell types and the expression patterns of the shared genes in specific cell populations. We identified 72 shared feature genes. Functional enrichment analysis of these genes revealed significant enrichment of inflammatory- and metabolism-related pathways. Three genes-IL1B, MMP9, and P2RY13-emerged as shared hub genes and yielded robust ANN-based predictive performance across datasets. Immune deconvolution and single-cell analyses consistently indicated inflammatory amplification and an imbalance of macrophage polarization in both conditions. Biology mapped to the hubs suggests IL1B drives inflammatory signaling, MMP9 reflects extracellular-matrix remodeling, and P2RY13 implicates cholesterol transport. Collectively, these findings indicate that T2DM and AS converge on immune and inflammatory processes with macrophage dysregulation as a central axis; IL1B, MMP9, and P2RY13 represent potential biomarkers and therapeutic targets and may influence disease progression by regulating macrophage states, supporting translational application to diagnosis and treatment of T2DM-related atherosclerosis. These findings are preliminary. Further experimental and clinical studies are needed to confirm their validity, given the limitations of the present study.

BackgroundGenome-wide association studies have provided profound insights into the genetic aetiology of metabolic syndrome (MetS). However, there is a lack of machine-learning (ML)-based predictive models to assess individual genetic susceptibility to MetS. This study utilized single-nucleotide polymorphisms (SNPs) as variables and employed ML-based genetic risk score (GRS) models to predict the occurrence of MetS, bringing it closer to clinical application.MethodsFeature selection was performed using Least Absolute Shrinkage and Selection Operator. Six ML algorithms were employed to construct GRS models. A fivefold cross-validation was utilized to aid in the internal validation of models. The receiver operating characteristic (ROC) curve was used to select the better-performing GRS model. The SHapley Additive exPlanations (SHAP) was then applied to interpret the model. After extracting GRS, stratified analysis of BMI, age and gender was performed. Finally, these conventional risk factors and GRS were integrated through multivariate logistic regression to establish a combined model.ResultsA total of 17 SNPs were selected for analysis. Among the GRS models, the extreme gradient boosting (XGBoost) model demonstrated superior discriminative performance (AUC = 0.837). The XGBoost's optimal robustness was also validated through five-fold cross-validation (mean ROC-AUC = 0.706). The XGBoost-based SHAP algorithm not only elucidated the global effects of 17 SNPs across all samples, but also described the interaction between SNPs, providing a visual representation of how SNPs impact the prediction of MetS in an individual. There was a strong correlation between GRS and MetS risk, particularly observed among young individuals, males and overweight individuals. Furthermore, the model combining conventional risk factors and GRS exhibited excellent discriminative performance (AUC = 0.962) and outstanding robustness (mean ROC-AUC = 0.959).ConclusionThis study established a reliable XGBoost-based GRS model and a GRS prediction platform (https://metabolicsyndromeapps.shinyapps.io/geneticriskscore/) to assess individual genetic susceptibility to MetS. This model has high interpretability and can provide personalized reference for determining the necessity of primary prevention measures for MetS. Additionally, there may be interactions between traditional risk factors and GRS, and the integration of both in a comprehensive model is useful in the prediction of MetS occurrence.

通过对中医"治未病"的未病先防、已病防变、瘥后防复的理论梳理,结合气、血、痰、瘀及阴阳等方面论述肿瘤的发生、发展与中医病机动态演变的相关性,认为肿瘤的防治思路为未病阶段以扶正祛邪为主,兼理气解郁、化痰祛瘀等治法;已病阶段则顾护胃气,同时把握病势以安未受邪之地;瘥后阶段强调化痰祛瘀之法以消复发之患,并从整体出发,以阴阳平衡为尺,以生理-心理-社会相协调为度,从而提高中医药防治肿瘤的临床疗效,为中医药防治肿瘤提供新的思路和方向.

目的 研究2型糖尿病(T2DM)常见病性证素及理化指标与FTO基因表达水平的相关性,初步阐明T2DM常见病性形成的分子生物学基础.方法 收集T2DM患者共396例,应用证素辨证法统计其病性、病位分布情况,并从中筛选常见病性证素进行分组,其中痰组30例、湿组29例和阴虚组31例,并选取30例健康人为健康组.理化指标检测包括体质量指数(BMI)、腰围(WC)、谷丙转氨酶(ALT)、谷草转氨酶(AST)、AST/ALT、谷氨酰转肽酶(GGT)、碱性磷酸酶(ALP)、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白(HDL-C)、低密度脂蛋白(LDL-C)、空腹血糖(FPG)以及尿素氮(BUN);实时荧光定量PCR法检测FTO基因表达水平.结果 ①T2DM病性证素频次由高到低依次为:痰、湿、阴虚、气虚、阳虚、热、血瘀、气滞;病位证素频次由高到低依次为:肝、肾、脾、肺、心、胆、胃.② 与健康组比较,痰组、湿组、阴虚组中BMI、WC、ALT、ALP、TG、FPG均明显提高(P<0.05,P<0.01),AST/ALT、HDL-C均明显降低(P<0.05,P<0.01);痰组、湿组GGT均明显提高(P<0.01,P<0.05).③ 与健康组比较,痰组、湿组和阴虚组FTO基因表达水平均明显提高(P<0.01);与痰组比较,湿组和阴虚组FTO基因表达水平均明显降低(P<0.01).④ 痰组、湿组和阴虚组FTO基因表达水平与理化指标之间不存在相关性(P>0.05).结论 T2DM病性证素前3位为痰、湿、阴虚;病位证素前3位是肝、肾、脾.FTO基因水平的高表达可能是影响T2DM痰证形成的生物学基础.

Erchen decoction (ECD) is a traditional Chinese prescription widely used in the treatment of various diseases such as obesity, fatty liver, diabetes, and hypertension. In this study, we investigated the effect of ECD on fatty acid metabolism in a colorectal cancer (CRC) mouse model fed a high-fat (HF) diet. The HF-CRC mouse model was established by azoxymethane (AOM)/dextran sulphate sodium (DSS) combined with a high-fat diet. Mice were then gavaged with ECD. Change in the body weight was recorded every two weeks for 26 weeks. Changes in blood glucose (GLU), total cholesterol (TC), total triglycerides (TG), and C-reactive protein (CRP) were measured. Colorectal tissues were collected to observe changes in colorectal length and tumorigenesis. Hematoxylin-eosin (HE) staining and immunohistochemical staining were performed to observe changes in intestinal structure and inflammatory markers. Fatty acids and the expression of related genes in colorectal tissues were also studied. ECD gavage inhibited HF-induced weight gain. CRC induction and HF diet intake resulted in increased GLU, TC, TG, and CRP, where ECD gavage reduced these elevated indicators. ECD gavage also increased colorectal length and inhibited tumorigenesis. HE staining revealed that ECD gavage suppressed inflammatory infiltration of colorectal tissues. ECD gavage suppressed the fatty acid metabolism abnormalities caused by HF-CRC in colorectal tissues. Consistently, ECD gavage lowered ACSL4, ACSL1, CPT1A, and FASN levels in colorectal tissues. Conclusions. ECD inhibited HF-CRC progression through the regulation of fatty acid metabolism.

目的 研究2 型糖尿病(T2DM)4 种证素与血清C-反应蛋白(CRP)之间的相关性,为此病中医辨证客观化及中医药防治提供理论依据.方法 以197 例T2DM患者为研究对象,采用证素辨证方法进行四诊资料采集,并检测患者的炎症因子CRP,分析4 种主要病性证素与CRP的关系.结果 4 种主要病性证素为阴虚、热、气虚、痰.4 种证素与CRP的关系:气虚组CRP水平显著高于非气虚组(P<0.01);痰组CRP水平高于非痰组(P<0.05);与非热盛组相比,热盛组出现CRP升高的比例较高,差异有统计学意义(P<0.05);与非痰组相比,痰组出现CRP升高的比例较高,差异有统计学意义(P<0.05).结论 T2DM患者CRP水平升高可能与痰浊、气虚、热盛3 种病理因素有关联.

卵巢早衰是妇科领域的常见病,对育龄期女性的生殖造成严重影响.中医学认为"女子以肝为先天",文中从女子的生理、病理特点出发,将其内涵概括为肝阴肝血常不足、肝气肝阳常有余,认为可从肝肾同补滋肝阴、肝脾同调养肝血、疏肝解郁调肝气、心肝同治清肝火分而治之,强调从肝论治卵巢早衰的重要性,以期为临床防治提供新的思路.

Objective To investigate the effect of single nucleotide polymorphisms（SNPs）of EXT2gene on the susceptibility of metabolic syndrome（MS）with phlegm syndrome. Methods From November 2013to December 2020,a total of 849 patients with MS who were treated in the Pre Treatment Center and Physical Examination Center of the Third People’s Hospital Affiliated to Fujian University of Traditional Chinese Medicine,and the Endocrine Department of Jinjiang Hospital of Traditional Chinese Medicine Affiliated to Fujian University of Traditional Chinese Medicine were selected. MS patients were assigned to MS phlegm syndrome group（641cases）and non-phlegm syndrome group（208 cases）by using syndrome differentiation method.SNPscan multiple SNP typing technique was used to detect rs11037909,rs1113132 and rs3740878 genotypes of EXT2.Logistic regression analysis was performed on gene SNPs,body mass index（BMI）and triglyceride（TG）.Results（1）BMI,TG and phlegm syndrome elements were positively correlated in MS phlegm syndrome group（P＜0.05）.（2）The risk of developing phlegm syndrome in patients with EXT2 rs11037909 CT/TC or CT+CC,rs1113132 CC or CG+CC,rs3740878 CC or CT+CC genotypes was 0.562 or 0.666 times,0.559 or 0.645 times,0.561 or 0.650 times than those with TT,GG and TT genotypes.（3）The risk of developing phlegm syndrome in overweight or obese individuals with EXT2 rs11037909 CT/TC+CC,rs1113132 CG/GC+CC,rs3740878 CT/TC+CC genotypes was 0.642 times and 0.618 times and 0.624 times than those with TT,GG,and TT genotypes.（4）The risk of phlegm syndrome in patients with high TG carrying EXT2 rs11037909 CT/TC+CC genotype was 0.544 times than that in high TG patients carrying TT genotype;The risk of developing phlegm syndrome in the non-TG patients with EXT2 rs1113132 CG/GC+CC,rs3740878 CT/TC+CC genotype was 0.524 times and 0.531times than those high TG patients with GG or TT genotype.（5）The risk of developing phlegm syndrome（mild）in patients with EXT2 rs11037909/rs1113132/rs3740878 CT/TC+CC or CG/GC+CC genotypes without overweight,obesity and high TG was 0.102 times than those with TT or GG genotypes who were overweight or obese and had high TG. Conclusion Taking T/G allele as reference,EXT2 gene rs11037909/rs1113132/rs3740878-C allele is a protective factor for phlegm syndrome compared with non-phlegm syndrome,EXT2 gene rs11037909/rs1113132/rs3740878-T allele,both BMI and TG are risk factors of phlegm syndrome,which will increase the susceptibility of phlegm syndrome.

Objective To construct a Nomogram model for the prediction of essential hypertension(EH)risks with the use of traditional Chinese medicine(TCM)syndrome elements principles in conjunction with cutting-edge biochemical detection technologies. Methods A case-control study was conducted,involving 301 patients with essential hyperten-sion in the hypertensive group and 314 without in the control group.Comprehensive data,in-cluding the information on the four TCM diagnoses,general data,and blood biochemical in-dicators of participants in both groups,were collected separately for analysis.The differentia-tion principles of syndrome elements were used to discern the location and nature of hyper-tension.One-way analysis was carried out to screen for potential risk factors of the disease.Least absolute shrinkage and selection operator(LASSO)regression was used to identify fac-tors that contribute significantly to the model,and eliminate possible collinearity problems.At last,multivariate logistic regression analysis was used to both screen and quantify inde-pendent risk factors essential for the prediction model.The"rms"package in the R Studio was used to construct the Nomogram model,creating line segments of varying lengths based on the contribution of each risk factor to aid in the prediction of risks of hypertension.For inter-nal model validation,the Bootstrap program package was utilized to perform 1 000 repeti-tions of sampling and generate calibration curves. Results The results of the multivariate logistic regression analysis revealed that the risk fac-tors of EH included age,heart rate(HR),waist-to-hip ratio(WHR),uric acid(UA)levels,fami-ly medical history,sleep patterns(early awakening and light sleep),water intake,and psycho-logical traits(depression and anger).Additionally,TCM syndrome elements such as phlegm,Yin deficiency,and Yang hyperactivity contributed to the risk of EH onset as well.TCM syn-drome elements liver,spleen,and kidney were also considered the risk factors of EH.Next,the Nomogram model was constructed using the aforementioned 14 risk predictors,with an area under the curve(AUC)of 0.868 and a 95%confidence interval(CI)ranging from 0.840 to 0.895.The diagnostic sensitivity and specificity were found to be 80.7%and 85.0%,respective-ly.Internal validation confirmed the model's robust predictive performance,with a consistency index(C-index)of 0.879,underscoring the model's strong predictive ability. Conclusion By integrating TCM syndrome elements,the Nomogram model has realized the objective,qualitative,and quantitative selection of early warning factors for developing EH,resulting in the creation of a more comprehensive and precise prediction model for EH risks.

当前梅核气诊断标准与咽喉检查技术更新进程脱节,与梅核气现代认识不符,临床实用性较差.将内镜视野下咽喉部体征信息纳入梅核气中医望诊体系,不但符合窍脏整体观,而且有利于梅核气的诊断与局部辨证.但是,构建基于内镜的梅核气咽喉中医望诊体系仍面临诊断标准框架亟待重构、病变部位笼统、咽喉征象中医内涵尚不明晰等挑战.针对以上挑战,须辨析梅核气的内涵及外延,重构诊断标准框架,设计符合梅核气疾病特征的咽喉征象采集方法,并在整体观念指导下明晰咽喉征象的中医内涵,进而为梅核气咽喉望诊体系临床应用提供依据.

目的 探讨2型糖尿病(T2DM)痰证患者体质量指数、脂代谢指标与常见病性证素的关系.方法 采集326名T2DM痰证患者的临床资料及四诊信息,将符合纳入标准的T2DM痰证患者按照超重、肥胖的诊断标准分为正常组、超重组和肥胖组,分析3组一般资料、常见病性证素积分和脂代谢指标[体质量指数(BMI)、腰围(WC)、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)]的情况,采用Spearman相关分析探讨3组脂代谢指标与痰证素积分的关系,并应用多元logistic回归分析方法探讨超重和肥胖与常见病性证素的关系.结果 ①与正常组比较,超重组和肥胖组BMI、WC明显升高(P<0.01),肥胖组升高程度优于超重组(P<0.01).②肥胖组的BMI、WC、TG与痰证素积分呈正相关(P<0.05,P<0.01),TC、HDL、LDL与痰证素积分不相关(P>0.05);正常组、超重组的脂代谢指标与痰证素积分均不相关(P>0.05).③与正常组比较,超重组热盛、阴虚和气虚证素积分明显降低(P<0.05),肥胖组血瘀、阴虚和气虚证素积分明显降低(P<0.05).④将正常体质量、超重、肥胖作为目标应变量,以正常体质量为参照,痰兼热盛者较常发生肥胖[(OR=1.007,95％CI(1.000,1.013)],痰兼阴虚者较少发生超重或肥胖[(OR=0.988,95％CI(0.982,0.994);OR=0.989,95％CI(0.984,0.995)](P<0.05).结论 BMI、WC、TG可为诊断T2DM痰证提供参考依据,不同体质量与痰证病性兼杂存在一定关系.

组学技术重在"整合"的特点与中医整体观有相似之处,笔者梳理了将组学技术应用在中医证微观指标研究的现状,指出当前与组学技术相关的微观指标研究的局限.认为中医证微观指标研究的核心原则是要冲破还原论的影响,坚持和发展系统思维,并进行多组学技术联用、多种算法统计方法结合使用、共建数据共享平台、赋予微观指标中医含义,才能借助"微观指标"发展蕴含中医思维的"微观辨证".

目的 探讨代谢综合征(MS)痰证形成的机制及病理基础.方法 50只大鼠随机分为空白组12只和造模组38只.造模组大鼠运用高糖高脂高盐饲养法建立MS痰证大鼠模型.共24只大鼠造模成功,随机分为模型组和二陈汤组各12只.二陈汤组予以二陈汤5.3 g/kg灌胃,模型组及空白组予以生理盐水10 ml/kg灌胃,均每日1次,连续4周.采用分光光度法分别于造模0周、4周、8周、12周检测空白组与造模组血浆乳酸含量.给药后空白组、模型组、二陈汤组采用ELISA法检测血清及肝组织三磷酸腺苷(ATP)水平,采用ELISA法及Real-Time PCR检测肝组织柠檬酸合成酶(CS)、肉毒碱脂酰转移酶I(CPT-1)、乳酸脱氢酶(LDH)、低氧诱导因子1α(HIF-1α)水平及mRNA表达情况.结果 造模期间,空白组与造模组乳酸水平比较差异具有统计学意义,造模第8周和第12周,造模组大鼠乳酸含量较空白组升高(P＜0.05).给药后,与空白组比较,模型组和二陈汤组大鼠血清及肝组织ATP的含量升高(P＜0.05),模型组大鼠肝组织LDH、CS、CPT-1、HIF-1α水平均升高(P＜0.05);与模型组比较,二陈汤组大鼠血清及肝组织ATP的含量,肝CPT-1 mRNA表达及肝LDH、CPT-1、HIF-1α水平均明显降低(P＜0.05).结论 能量失衡促进MS痰证发生发展,能量代谢途径改变是MS痰证形成的病理基础.

Objective: Erchen Decoction (ECD), a well-known traditional Chinese medicine, exerts metabolism-regulatory, immunoregulation, and anti-tumor effects. However, the action and pharmacological mechanism of ECD remain largely unclear. In the present study, we explored the effects and mechanisms of ECD in the treatment of CRC using network pharmacology, molecular docking, and systematic experimental validation. Methods: The active components of ECD were obtained from the TCMSP database and the potential targets of them were annotated by the STRING database. The CRC-related targets were identified from different databases (OMIM, DisGeNet, GeneCards, and DrugBank). The interactive targets of ECD and CRC were screened and the protein-protein interaction (PPI) networks were constructed. Then, the hub interactive targets were calculated and visualized from the PPI network using the Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. In addition, the molecular docking was performed. Finally, systematic in vitro, in vivo and molecular biology experiments were performed to further explore the anti-tumor effects and underlying mechanisms of ECD in CRC. Results: A total of 116 active components and 246 targets of ECD were predicted based on the component-target network analysis. 2406 CRC-related targets were obtained from different databases and 140 intersective targets were identified between ECD and CRC. 12 hub molecules (STAT3, JUN, MAPK3, TP53, MAPK1, RELA, FOS, ESR1, IL6, MAPK14, MYC, and CDKN1A) were finally screened from PPI network. GO and KEGG pathway enrichment analyses demonstrated that the biological discrepancy was mainly focused on the tumorigenesis-, immune-, and mechanism-related pathways. Based on the experimental validation, ECD could suppress the proliferation of CRC cells by inhibiting cell cycle and promoting cell apoptosis. In addition, ECD could inhibit tumor growth in mice. Finally, the results of molecular biology experiments suggested ECD could regulate the transcriptional levels of several hub molecules during the development of CRC, including MAPKs, PPARs, TP53, and STATs. Conclusion: This study revealed the potential pharmacodynamic material basis and underlying molecular mechanisms of ECD in the treatment of CRC, providing a novel insight for us to find more effective anti-CRC drugs.

目的:通过获取代谢综合征(MS)痰证脾肺病位患者的血清差异代谢产物及关键代谢通路,探索脾肺病位可能的生物标志物,为阐释痰生成机制与脾、肺二脏的关系提供微观依据.方法:根据"证素辨证"法将纳入的MS痰证患者按病位分为脾组、肺组,各45例.应用UHPLC-QE-MS技术检测2组患者的血清代谢产物,整理出差异代谢产物映射的所有通路,通过对差异代谢物所在通路的富集和拓扑分析,寻找脾、肺病位特征性的代谢通路.再将代谢通路富集到的差异代谢产物与MS痰证的病性证素进行相关性分析.结果:两组最终鉴定出174种差异性代谢产物,共找到9条关键通路.将命中的10个差异代谢产物与MS痰证的5种病性证素进行相关性分析,发现L-酪氨酸、左旋缬氨酸和湿呈正相关;2-羟基乙烷磺酸盐与气滞呈正相关;左旋缬氨酸、亚油酸与热盛呈正相关;L-酪氨酸、左旋缬氨酸、琥珀酸与气虚呈正相关.结论:脾、肺病位患者的血清存在物质及代谢通路的改变,氨基酸、脂质等物质的代谢异常可能是"脾生痰,肺贮痰"理论的物质基础.氨基酸化合物、2-羟基乙烷磺酸盐、亚油酸、琥珀酸可能是探索脾、肺与"痰"生成转化关系的突破口.

中医诊断基本原理是指导中医诊断疾病的基本规律,不仅对中医"病证"的诊断起指导作用,而且具备独特的思维方式.中医诊断基本原理中的象思维运用非常重要,深刻剖析中医诊断基本原理中所体现的象思维,将象思维运用到司外揣内、见微知著、以常衡变、因发知受中,对于充分地把握病情内在本质或变化规律和强化中医思维、提升临床诊断水平具有重要的意义.不仅在中医诊断原理中,在整个中医理论体系的发展中,象思维都起着重要的作用.

目的 探索评价代谢综合征(metabolic syndrome,MS)痰证动物模型成功的客观标准和核心诊断指标,为制定科学的MS痰证动物模型评价标准提供依据.方法 以MS痰证动物模型为研究对象,运用系统的检索方法,收集MS痰证动物模型相关文献,通过Excel表格建立数据库对其实验动物模型基本信息、造模方法、模型评价指标、以方测证等进行归纳、整理和分析.结果 共纳入7篇文献,造模动物多为Wistar大鼠,以食物诱发为主;主要从证候表现、客观指标和药物反证等方面展开评价,模型评价指标共涉及26项,其中空腹血糖(fasting blood glucose,FBG)、甘油三酯(tirglyceirde,TG)、体质量、高密度脂蛋白(high density lipoprotein,HDL)、空腹血清胰岛素(fasting insulin,FINS)、胰岛素抵抗指数(homeostasis model assessment insulin resistance index,HOMA-IR)、证候表现等为常见指标.结论 MS痰证造模多选用Wistar大鼠,以单纯食物诱发为主;MS痰证动物模型诊断标准应以动物证候表现与客观指标为主,通过药物反证验证动物模型的可靠性.

目的 探讨改良戴维氏开口器辅助扁桃体切除术的应用效果.方法 回顾自2017年7月-2021年2月收治的110例符合扁桃体切除手术指征的患者,试验组55例,行改良戴维氏开口器辅助下扁桃体切除术;对照组55例,行传统戴维氏开口器辅助下扁桃体切除术.比较两组扁桃体下极暴露效果、开口器暴露术野完成时间、全部手术时间以及扁桃体下极残留、咽舌弓黏膜撕裂、舌麻痹等情况.结果 与对照组相比实验组扁桃体下极视野暴露更清楚,术野暴露时间及手术时间更短,扁桃体下极残留、舌麻痹、咽舌弓撕裂发生率较低.结论 改良戴维氏开口器辅助下扁桃体切除术具有较好的手术视野,有利于提高手术质量、缩短手术时间,值得临床推广应用.

目的:探讨代谢综合征(MS)痰证不同症候群病位、病性兼杂与脂蛋白酯酶(LPL)基因多态性位点rs10503669(A/C)的关系.方法:收集398例MS患者,180名健康人,采用证素辨证法将患者分为痰证(257例)和非痰证(141例);并根据2005年国际糖尿病联盟(IDF)诊断标准,将患者分为不同症候群组:中心性肥胖、高血压、糖代谢异常组(A组),中心性肥胖、高血压、血脂异常组(B组),中心性肥胖、血脂异常、糖代谢异常组(C组),中心性肥胖、高血压、血脂异常、糖代谢异常组(D组);采用多重SNP分型技术测定其LPL基因rs10503669位点的基因多态性,分析痰证和非痰证相应组间基因型频率、等位基因频率差异及其与痰证病位、病性兼杂的关系.结果:痰证A组LPL基因rs10503669位点风险基因型AA、CA及风险等位基因A的比例较健康组、非痰证A组显著升高(P＜0.05,P＜0.01);痰证A组病位证素肝、脾的AA、CA基因型频率远高于非肝、非脾(P＜0.05).结论:LPL基因rs10503669位点等位基因A是MS痰证人群中心性肥胖、高血压及糖代谢紊乱(A组)症候群的危险因素,其与MS痰证A组的形成有关,同时也可能与MS痰证A组症候群病位肝脾有关.