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Objective To explore causes, mechanisms, symptoms, and commonly-used medicinals for chronic bronchitis from the viewpoint of senior prestigious traditional Chinese medicine practitioner in Beijing-Tianjin-Hebei Region. Methods 346 chronic bronchitis cases in Beijing-Tianjin-Hebei region were obtained from the database of lung disease cases treated by modern senior TCM practitioners. The Lantern software 3.1.2 was used to construct the latent model of chronic bronchitis symptoms and commonly-used medicinals. The association of medicinal-symptom, and medicinal combination was explored by using SAS software 9.1. Results 110 observable variables (pattern, tongue and pulse) in first contact of the 346 cases were collected and constructed as a latent model, and 17 latent variables, 35 hidden classes and 6 comprehensive clustering models were obtained. 27 latent variables, 55 hidden classes and 7 comprehensive cluster models were obtained from 137 medicinal models. Associations between medication and disease were identified at 5% minimum support degree and 60% confidence level, and 74 groups of 2 medicinals, 273 groups of 3 medicinals, and 411 groups of 4 medicinals were obtained. Constitutions of chronic bronchitis patients from the Beijing - Tianjin - Hebei region were featured by "upper dryness, middle dampness and lower deficiency". Common patterns of chronic bronchitis include phlegm-heat pattern, lung yin deficiency pattern, and wind-heat invading the lung pattern; Core symptoms of chronic bronchitis involved cough, panting, phlegm, and white sputum; Core medicinals includes pinellis rhizome, bitter apricot kernel (Kuzingren, Semen Armeniacae Amarum) and ephedra (Mahuang, Herba Ephedrae); Core formula includes Sanzi Yangqi Tang (Three-Seed Filial Devotion Decoction), Er Chen Tang (Two Matured Substancess Decoction), and Xiao Qing Long Tang (Minor Green Dragon Decoction). Conclusion Implicit structure model integrated application of multidimensional clustering and Bayesi network It can solve the lack of objective and quantitative preblems in TCM syndrome differentiation, and it conforms to the nonlinear thinking of TCM. therefore, it can be used to explore the academic experience of famous old Chinese medicine. [ABSTRACT FROM AUTHOR]

Long non-coding RNAs (lncRNAs) have key roles in various diseases; however, their functions in hyperlipidemia (HLP) have remained elusive. In the present study, microarray technology was utilized to analyze the differential expression of lncRNAs and mRNAs in liver tissues of apolipoprotein E-/- mice as a model of HLP compared with control mice. A total of 104 and 96 differentially expressed lncRNAs and mRNAs, respectively, were identified. Differentially expressed genes were significantly enriched in biological processes such as nitric oxide biosynthesis, innate immune response and inflammatory response. Finally, two pairs of target genes and 38 transcription factors with regulatory functions in HLP were predicted based on the lncRNA and mRNA co-expression network. The lncRNA expression profile was significantly altered in liver tissues of the mouse model of HLP and may provide novel targets for research into treatments. [ABSTRACT FROM AUTHOR]