A comparative study of the regular pattern of syndrome and treatment of lung-intestine related diseases in ancient and modern medical cases based on data mining

Mo, Fangfang; Wang, Lepeng; S, Gao

doi:10.15806/j.issn.2311-8571.2015.0033

Cited by 2 publications

(2 citation statements)

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“…Finally, we build a knowledge map [76][77][78] to explore the cognitive patterns in diagnosing and treating demonstration diseases in TCM and reveal the evolution of disease syndromes and medication rules. By applying the above technologies and methods comprehensively, we can explore the valuable knowledge of TCM, including core prescriptions, effective prescriptions, and changes in TCM diagnosis and treatment.…”

Section: Methods For Mining Structural Associations Of Tcm Characteri...mentioning

confidence: 99%

Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine

Yang,

Yi,

Zhou

et al. 2024

Sci Tradit Chin Med

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Real-world clinical evaluation of traditional Chinese medicine (RWCE-TCM) is a method for comprehensively evaluating the clinical effects of TCM, with the aim of delving into the causality between TCM intervention and clinical outcomes. The study explored data science and causal learning methods to transform RWD into reliable real-world evidence, aiming to provide an innovative approach for RWCE-TCM. This study proposes a 10-step data science methodology to address the challenges posed by diverse and complex data in RWCE-TCM. The methodology involves several key steps, including data integration and warehouse building, high-dimensional feature selection, the use of interpretable statistical machine learning algorithms, complex networks, and graph network analysis, knowledge mining techniques such as natural language processing and machine learning, observational study design, and the application of artificial intelligence tools to build an intelligent engine for translational analysis. The goal is to establish a method for clinical positioning, applicable population screening, and mining the structural association of TCM characteristic therapies. In addition, the study adopts the principle of real-world research and a causal learning method for TCM clinical data. We constructed a multidimensional clinical knowledge map of “disease-syndrome-symptom-prescription-medicine” to enhance our understanding of the diagnosis and treatment laws of TCM, clarify the unique therapies, and explore information conducive to individualized treatment. The causal inference process of observational data can address confounding bias and reduce individual heterogeneity, promoting the transformation of TCM RWD into reliable clinical evidence. Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM. The proposed data science methodology for TCM can handle complex data, ensure high-quality RWD acquisition and analysis, and provide in-depth insights into clinical benefits of TCM. This method supports the intelligent translation and demonstration of RWD in TCM, leads the data-driven translational analysis of causal learning, and innovates the path of RWCE-TCM.

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Section: Methods For Mining Structural Associations Of Tcm Characteri...mentioning

confidence: 99%

Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine

Yang,

Yi,

Zhou

et al. 2024

Sci Tradit Chin Med

View full text Add to dashboard Cite

show abstract

“…P. villosa is considered to function at the stomach, large intestine, and liver meridians, thereby treating diseases of these organs as demonstrated by the traditional theory of TCM. Data mining has shown that P. villosa is frequently used in compound prescriptions for treating liver diseases such as liver chronic hepatitis B ( Gao, 2005 ; Ke, et al, 2022 ). Previous studies indicated that P. villosa has a protective effect on acute liver injury (Qiao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Patrinia villosa (Thunb.) Juss alleviates CCL4-induced acute liver injury by restoring bile acid levels and inhibiting apoptosis/autophagy

Ye,

Liu,

Hou

et al. 2024

Front. Pharmacol.

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BackgroundPatrinia villosa (Thunb.) Juss is one of the plant resources of the famous traditional Chinese medicine “Bai jiang cao (herba patriniae),” and it is considered to function at the liver meridian, thereby treating diseases of the liver as demonstrated by the traditional theory of TCM. Unfortunately, the therapeutic mechanism of the whole plant of PV is so far unknown.MethodUPLC QTOF-MS/MS was used to analyze the profile of PV. Male Sprague–Dawley rats were categorized into five groups, and PV groups (125 and 375 mg/kg) were administered by oral gavage for seven consecutive days. The model of liver injury was induced by intraperitoneal injection of 40% CCl4 oil solution. H&E staining was performed for histological evaluation. The ELISA method was used to assess the serum level of ALT, AST, and T-BIL. Serum and liver bile acid (BA) profiling was analyzed by LC-MS/MS. TUNEL-stained liver sections were used to monitor apoptosis caused by CCl4. HepG2 cells were used to detect autophagy caused by CCl4.ResultsA total of 16 compounds were identified from the 70% methanol extract of PV. PV (125 and 375 mg/kg) could reverse the ectopic overexpression of AST, ALT, and T-BIL caused by CCl4 administration. H&E staining indicated that PV (125 and 375 mg/kg) could reduce the infiltration of inflammatory cells and restore liver tissue and hepatocyte structures. Six bile acids, including DCA, HDCA, GCA, TCA, TCDCA, and TUDCA, were significantly altered both in the serum and liver tissue after CCl4 administration, and the level of all these six bile acids was restored by PV treatment. Moreover, PV inhibited apoptosis caused by CCl4 stimulation in liver tissue and suppressed autophagy in HepG2 cells treated with CCl4.ConclusionThe results in this paper for the first time reveal the alteration of the bile acid profile in CCl4-induced liver injury and demonstrate that inhibiting apoptosis and autophagy was involved in P. villosa-elicited liver protection, providing a scientific basis for the clinical utilization of P. villosa as a natural hepatic protective agent.

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A comparative study of the regular pattern of syndrome and treatment of lung-intestine related diseases in ancient and modern medical cases based on data mining

Cited by 2 publications

References 0 publications

Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine

Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine

Patrinia villosa (Thunb.) Juss alleviates CCL4-induced acute liver injury by restoring bile acid levels and inhibiting apoptosis/autophagy

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