Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening

SHI Zheng; WANG Lu-yao; WEI Ying-jie; WANG Jing; LU Yan-wu; PAN Yang; YU Li; YU Shun

doi:10.14148/j.issn.1672-0482.2023.0170

Volume 39 Issue 2

Feb. 2023

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Article Navigation > Journal of Nanjing University of traditional Chinese Medicine > 2023 > 39(2): 170-178

SHI Zheng, WANG Lu-yao, WEI Ying-jie, WANG Jing, LU Yan-wu, PAN Yang, YU Li, YU Shun. Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening[J]. Journal of Nanjing University of traditional Chinese Medicine, 2023, 39(2): 170-178. doi: 10.14148/j.issn.1672-0482.2023.0170

Citation:

SHI Zheng, WANG Lu-yao, WEI Ying-jie, WANG Jing, LU Yan-wu, PAN Yang, YU Li, YU Shun. Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening[J]. Journal of Nanjing University of traditional Chinese Medicine, 2023, 39(2): 170-178. doi: 10.14148/j.issn.1672-0482.2023.0170

Citation:

SHI Zheng, WANG Lu-yao, WEI Ying-jie, WANG Jing, LU Yan-wu, PAN Yang, YU Li, YU Shun. Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening[J]. Journal of Nanjing University of traditional Chinese Medicine, 2023, 39(2): 170-178. doi: 10.14148/j.issn.1672-0482.2023.0170

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Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening

doi: 10.14148/j.issn.1672-0482.2023.0170

SHI Zheng^1
,,
WANG Lu-yao²,
WEI Ying-jie³,
WANG Jing³,
LU Yan-wu⁴,
PAN Yang⁵,
YU Li^{5
,
,},
YU Shun^{1
,
,}

1.
Institute of Literature in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
2.
School of Acupuncture-Moxibustion and Tuina, School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, China
3.
Jiangsu Academy of Chinese Medicine, Nanjing 210028, China
4.
Department of Dermatology, Ningbo Hospital of Chinese Medicine, Ningbo 315010, China
5.
School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China

Received Date: 2022-11-28
Available Online: 2023-02-17

Abstract

Abstract

OBJECTIVE Based on data mining and zebrafish model, to analyze the medication rules of TCM on antituberculosis drug-induced liver injury (ATDILI), and screen the core prescriptions and drugs. METHODS Literature was collected, prescriptions database was established by TCM inheritance system for data mining, and efficacy of core prescriptions and drugs were verified in zebrafish model. RESULTS A total of 342 prescriptions were screened, and 41 common drugs, 17 common drug pairs, and one core prescription were obtained. In the ATDILI model, the malformation rate and mortality rate of juvenile zebrafish were significantly reduced(P < 0.05), the morphology was improved, and the fluorescence area and intensity of liver increased significantly under the core prescriptions and drugs(P < 0.01). CONCLUSION TCM intervention in ATDILI is based on the general principle of tonifying deficiency, clearing heat and dampness, focusing on the simultaneous treatment of liver and spleen. The core prescriptions and drugs obtained from data mining showed liver protection effect in the ATDILI model of zebrafish, which verified the reliability and applicability of data mining technology. In this study, data mining and pharmacological experimental validation were combined to provide reference for the treatment of ATDILI.
- tuberculosis,
- hepatotoxicity,
- data mining,
- zebrafish,
- drug screening

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References

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Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening

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Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening

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