The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Traditional Chinese Medicine in the Treatment of Patients Infected with 2019-New Coronavirus (SARS-CoV-2): A Review and Perspective
Open accessAbstract
Currently, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2, formerly known as 2019-nCoV, the causative pathogen of Coronavirus Disease 2019 (COVID-19)) has rapidly spread across China and around the world, causing an outbreak of acute infectious pneumonia. No specific anti-virus drugs or vaccines are available for the treatment of this sudden and lethal disease. The supportive care and non-specific treatment to ameliorate the symptoms of the patient are the only options currently. At the top of these conventional therapies, greater than 85% of SARS-CoV-2 infected patients in China are receiving Traditional Chinese Medicine (TCM) treatment. In this article, relevant published literatures are thoroughly reviewed and current applications of TCM in the treatment of COVID-19 patients are analyzed. Due to the homology in epidemiology, genomics, and pathogenesis of the SARS-CoV-2 and SARS-CoV, and the widely use of TCM in the treatment of SARS-CoV, the clinical evidence showing the beneficial effect of TCM in the treatment of patients with SARS coronaviral infections are discussed. Current experiment studies that provide an insight into the mechanism underlying the therapeutic effect of TCM, and those studies identified novel naturally occurring compounds with anti-coronaviral activity are also introduced.
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Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Self-citationClinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Self-citationA pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Self-citationWang, M., Cao, R., Zhang, L., Yang, X., Liu, J., Xu, M., Shi, Z., Hu, Z., Zhong, W., & Xiao, G. (2020) · Cell Research · doi:10.1038/s41422-020-0282-0 · Cited by 6,958
Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068
First case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030
Letko, M., Marzi, A., & Munster, V. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0688-y · Cited by 3,109
Natural products: A continuing source of novel drug leads
Cragg, G. M., & Newman, D. J. (2013) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2013.02.008 · Cited by 2,906
Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China
Wu, A., Peng, Y., Huang, B., Ding, X., Wang, X., Niu, P., Meng, J., Zhu, Z., Zhang, Z., Wang, J., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.02.001 · Cited by 2,361
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Cited by
Hasan, A., Paray, B. A., Hussain, A., Qadir, F. A., Attar, F., Aziz, F. M., Sharifi, M., Derakhshankhah, H., Rasti, B., Mehrabi, M., et al. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1754293 · Cited by 293
Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe
Thakur, V., Bhola, S., Thakur, P., Patel, S. K. S., Kulshrestha, S., Ratho, R. K., & Kumar, P. (2022) · Infection · doi:10.1007/s15010-021-01734-2 · Cited by 195
“China treated 85% of the COVID-19 patients using traditional medicines such as root extract of Isatis indigotica and extract of Houttuynia cordata [99, 100].”
BackgroundA Comprehensive Review About SARS-CoV-2
Haque, S. M., Ashwaq, O., Sarief, A., & Azad John Mohamed, A. K. (2020) · Future Virology · doi:10.2217/fvl-2020-0124 · Cited by 121
Gu, Y.-Y., Zhang, M., Cen, H., Wu, Y.-F., Lu, Z., Lu, F., Liu, X.-S., & Lan, H.-Y. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245209 · Cited by 75
Li, J., Dou, L., Chen, S., Zhou, H., & Mou, F. (2021) · Pharmaceutical Biology · doi:10.1080/13880209.2021.1995005 · Cited by 10
Metadata
- Authors
- Yang, Y., Islam, M. S., Wang, J., Li, Y., & Chen, X.
- Venue
- International Journal of Biological Sciences
- Publisher
- Ivyspring International Publisher
- Published
- 2020
- Volume
- 16
- Issue
- 10
- Pages
- 1708-1717
- ISSN
- 1449-2288 (ISSN-L)
- OpenAlex
- W3012702001
- Cited by
- 960
- References
- 81
- FWCI
- 200.72
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yang, Y., Islam, M. S., Wang, J., Li, Y., & Chen, X. (2020). Traditional Chinese Medicine in the Treatment of Patients Infected with 2019-New Coronavirus (SARS-CoV-2): A Review and Perspective. International Journal of Biological Sciences. https://doi.org/10.7150/ijbs.45538
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