运用Python优化证素辨证心系疾病诊疗系统的思考

证素辨证学是现代中医诊断学发展的重要组成部分,在人工智能时代下,如何借助先进的科技手段,如Python语言,对其进行优化与升级,是值得关注的科学问题,本文就近年来人工智能在心血管疾病领域的研究趋势,以及证素辨证在心血管疾病领域的研究概况作一综述。以期为证素辨证在心血管领域的智能化发展提供新的角度与思路。

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

四君子汤对慢性心衰大鼠心肌组织蛋白质组学影响的研究

目的:探讨四君子汤对慢性心衰大鼠心肌组织蛋白质表达变化的影响。方法:SD雄性大鼠42只,随机取6只作为正常组,其余36只复制慢性心力衰竭大鼠模型,造模成功后,分为四君子汤高、低剂量组(11.88,2.97 g·kg^(-1)·d^(-1)),卡托普利组(100 mg·kg^(-1)·d^(-1)),正常组和模型组分别给予相同体积生理盐水,连续灌胃给药1月。分别留取各组左心室组织,双向凝胶电泳分离心肌蛋白,分析差异显示的蛋白,并对有显著差异的蛋白点进行胶内酶切和质谱鉴定。结果:与模型组比较,四君子汤组有31种蛋白质表达上调,28种蛋白质表达下调,各选取8个差异显著(Volume值相差≥1.5倍)的蛋白进行质谱鉴定,通过整合去重,鉴定出4个蛋白:与能量代谢相关的Suclg2蛋白、丙酮酸脱氢酶复合体;与心肌细胞收缩功能相关的肌球蛋白轻链2;与心肌细胞重构相关的丝氨酸蛋白酶抑制剂A3N。结论:四君子汤可调节慢性心衰大鼠心肌组织多种蛋白表达,可能通过调节能量代谢、减少心肌重构、提高收缩功能而改善心功能。