| Literature DB >> 33249281 |
Keng-Chang Tsai1, Yi-Chia Huang2, Chia-Ching Liaw3, Chia-I Tsai4, Chun-Tang Chiou5, Chien-Jung Lin6, Wen-Chi Wei7, Sunny Jui-Shan Lin8, Yu-Hwei Tseng9, Kuo-Ming Yeh10, Yi-Ling Lin11, Jia-Tsrong Jan12, Jian-Jong Liang13, Chun-Che Liao14, Wen-Fei Chiou15, Yao-Haur Kuo16, Shen-Ming Lee17, Ming-Yung Lee18, Yi-Chang Su19.
Abstract
COVID-19 is a global pandemic, with over 50 million confirmed cases and 1.2 million deaths as of November 11, 2020. No therapies or vaccines so far are recommended to treat or prevent the new coronavirus. A novel traditional Chinese medicine formula, Taiwan Chingguan Yihau (NRICM101), has been administered to patients with COVID-19 in Taiwan since April 2020. Its clinical outcomes and pharmacology have been evaluated. Among 33 patients with confirmed COVID-19 admitted in two medical centers, those (n = 12) who were older, sicker, with more co-existing conditions and showing no improvement after 21 days of hospitalization were given NRICM101. They achieved 3 consecutive negative results within a median of 9 days and reported no adverse events. Pharmacological assays demonstrated the effects of the formula in inhibiting the spike protein/ACE2 interaction, 3CL protease activity, viral plaque formation, and production of cytokines interleukin (IL)-6 and tumor necrosis factor (TNF)-α. This bedside-to-bench study suggests that NRICM101 may disrupt disease progression through its antiviral and anti-inflammatory properties, offering promise as a multi-target agent for the prevention and treatment of COVID-19.Entities:
Keywords: 3CL protease; Cytokine storm; NRICM101; SARS-CoV-2; Spike protein; Traditional Chinese medicine
Mesh:
Substances:
Year: 2020 PMID: 33249281 PMCID: PMC7676327 DOI: 10.1016/j.biopha.2020.111037
Source DB: PubMed Journal: Biomed Pharmacother ISSN: 0753-3322 Impact factor: 6.529
Fig. 1Simplified representation of NRICM101 targeting potential pathways of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection.
Selected mechanisms of SARS-CoV-2 pathogenesis targeted by NRICM101: binding of viral spike protein to human angiotensin-converting enzyme 2 (ACE2), 3CL protease that facilitates SARS-CoV-2 replication, production of pro-inflammatory cytokines interleukin (IL)-6 and tumor necrosis factor (TNF)-α.
Fig. 2Development and clinical study of NRICM101.
Flowchart of developing NRICM101 against COVID-19.
Demographic and clinical characteristics of patients.
| Characteristics | All patients | NRICM101 | Non-NRICM101 |
|---|---|---|---|
| Median age, years (range) | 40 (18−80) | 57 (29−80) | 33 (18−74) |
| Age group, years (%) | |||
| < 30 | 10 (30.3 %) | 1 (8.3 %) | 9 (42.9 %) |
| 30−39 | 6 (18.2 %) | 2 (16.7 %) | 4 (19.0 %) |
| 40−49 | 3 (9.1 %) | 1 (8.3 %) | 2 (9.5 %) |
| 50−59 | 6 (18.2 %) | 2 (16.7 %) | 4 (19.0 %) |
| 60−80 | 8 (24.2 %) | 6 (50.0 %) | 2 (9.5 %) |
| Sex (%) | |||
| Male | 15 (45.5 %) | 6 (50.0 %) | 9 (42.9 %) |
| Female | 18 (54.5 %) | 6 (50.0 %) | 12 (57.1 %) |
| Severity | |||
| Mild | 29 (87.9 %) | 8 (66.7 %) | 21 (100.0 %) |
| Severe | 3 (9.1 %) | 3 (25.0 %) | – |
| Critical | 1 (3.0 %) | 1 (8.3 %) | – |
| Median days from hospitalization to 3 N | 26 (8−51) | 33.5 (8−44) | 22 (9−51) |
| Median days from hospitalization to intervention (range) | – | 21.5 (0−33) | – |
| Median days from intervention to 3 N (range) | – | 9 (4−18) | – |
| Coexisting conditions (Comorbidity, %) | 11 (33.3 %) | 8 (66.7 %) | 3 (14.3 %) |
| Hypertension | 4 (12.1 %) | 4 (33.3 %) | – |
| Hyperlipidemia | 4 (12.1 %) | 3 (25.0 %) | 1 (4.8 %) |
| Type 2 diabetes | 3 (9.1 %) | 3 (25.0 %) | – |
| Others | 7 (21.2 %) | 4 (33.3 %) | 3 (14.3 %) |
| Adverse effects reported | – | 0 | – |
:Disease severity was defined according to the "Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19)" proposed by the United States Centers for Disease Control and Prevention.
:Severe and critical cases presenting cardiovascular symptoms were given additional TCM, in addition to NRICM101.
:3 N denotes patient respiratory specimens testing negative for SARS-CoV-2 three times in a row, with specimens collected ≧24 h apart.
Fig. 3Pharmacological data of NRICM101.
(A) Binding reactivity of the NRICM101 to spike RBD protein were determined by SPR. The serially diluted decoctions (1/5X, 1/10X, 1/20X, 1/40X, 1/80X, and 1/160X) were prepared in the PBS buffer as the analysts for analysis. (B) Interaction of spike RBD to the ACE2 was inhibited by serially diluted NRICM101 in the ACE2-spike protein inhibition ELISA. The inhibition percentage was determined according to the binding signal normalized to the interaction of spike RBD to the ACE2 without NRICM101 treatment. (C) NRICM101 inhibited SARS-CoV-2 3CL protease activity. Serial dilutions of the decoction were used to investigate NRICM101′s inhibitory activity against 3CL protease. (D) Anti-SARS-CoV-2 data of the immunofluorescent assay (IFA, upper) and plaque reduction neutralization test (PRNT, lower). (E) The data of CCK-8 cell viability and viral infection in IFA. (F,G) NRICM101 inhibited LPS-induced expression of IL-6 and TNF-α in murine alveolar macrophages. The data represented as mean ± SD from three independent experiments. 50 % inhibition concentration (IC50) and 50 % cytotoxic concentration (CC50) were calculated by Prism software. The red dots indicate 50 % inhibition; the data represented as mean ± SD from three independent experiments.
Fig. 4Pharmacological data of single herbs of NRICM101.
(A) Interaction of spike RBD to the ACE2 was determined by the ACE2-spike protein inhibition ELISA. (B) Inhibition of SARS-CoV-2 3CL protease activity. (C) Inhibition data of the immunofluorescent assay of HA and HC. (D) Plaque reduction neutralization test of HA and HC. (E,F) Inhibition data of LPS-induced expression of TNF-α and IL-6 in murine alveolar macrophages. The red dots indicate 50 % inhibition of 3CL protease activity. The data represented as mean ± SD from three independent experiments. 50 % inhibition concentration (IC50) and 50 % cytotoxic concentration (CC50) were calculated by Prism software.
Fig. 5The HPLC fingerprint profiles of NRICM101 decoction, 10 single herbs, and 12 batches of NRICM101.
(A). The HPLC profiles of NRICM101 decoction at 210, 254, 280 nm. 1: 3-O-Caffeoylquinic acid; 2: Epigoitrin; 3: 5-O-Caffeoylquinic acid; 4: 4-O-caffeoylquinic acid; 5: Rutin; 6: Chrysin 6-C-arabinoside-8-C-glucoside; 7: Liquiritin; 8: Acetoside; 9: Quercetin 3-galactoside; 10: Quercetin 3-glucoside; 11: Chrysin 6-C-glucoside-8-C-arabinoside; 12: Scutellarin; 13: Quercetin 3-rhamnoside;14: Baicalin; 15: Norwogonin 7-O-glucuronide; 16: Oroxyloside; 17: Wogonoside. (B). The HPLC fingerprint of the 10 single herbs at 280 nm. HA: Scutellaria root (Scutellaria baicalensis); HC: Heartleaf Houttuynia (Houttuynia cordata); NB: Mulberry Leaf (Morus alba), NC: Saposhnikovia Root (Saposhnikovia divaricata); ND: Mongolian Snakegourd Fruit (Trichosanthes kirilowii); NE: Indigowoad Root (Isatis indigotica); NG: honey-fired Liquorice Root (Glycyrrhiza glabra); NK: Magnolia Bark (Magnolia officinalis); NL: Peppermint Herb (Mentha haplocalyx); NR: Fineleaf Schizonepeta Spike (Schizonepeta tenuifolia). (C). The HPLC fingerprints of 12 batches of decoction obtained from the TCM pharmacies of two medical centers at 280 nm.