| Literature DB >> 35578714 |
Po-Wei Tsai1, Cheng-Yang Hsieh2, Jasmine U Ting3, Yi-Ru Ciou1, Chia-Jung Lee2,4,5, Chieh-Lun Hsieh6, Tzu-Kuan Lien7, Chung-Chuan Hsueh7, Bor-Yann Chen7.
Abstract
Background: Traditional Chinese medicine (TCM) has been used as an "immune booster" for disease prevention and clinical treatment since ancient China. However, many studies were focused on the organic herbal extract rather than aqueous herbal extract (AHE; decoction). Due to the COVID-19 pandemics, this study tended to decipher phytochemical contents in the decoction of herbs and derived bioactivities (e.g., anti-oxidant and anti-inflammatory properties). As prior works revealed, the efficacy of Parkinson's medicines and antiviral flavonoid herbs was strongly governed by their bioenergy-stimulating proficiency.Entities:
Keywords: Bioenergy extraction; COVID-19; Electron transfer; Forsythia suspensa; Microbial fuel cells; Traditional Chinese medicine
Year: 2022 PMID: 35578714 PMCID: PMC9095373 DOI: 10.1016/j.jtice.2022.104365
Source DB: PubMed Journal: J Taiwan Inst Chem Eng ISSN: 1876-1070 Impact factor: 5.477
Comparative list of phytochemical content of 18 aqueous herbal extracts of COVID-19 TCM.
| 2.27 ± 0.08 | Not Detected | 3.21 ± 0.04 | 1.91 ± 0.04 | |
| 4.95 ± 0.23 | Not Detected | 3.76 ± 0.05 | 1.13 ± 0.04 | |
| 9.80 ± 0.35 | Not Detected | 6.21 ± 0.15 | 1.51 ± 0.08 | |
| 3.75 ± 0.03 | 4.24 ± 0.02 | 5.36 ± 0.03 | 9.20 ± 0.29 | |
| 28.88 ± 0.00 | 1.67 ± 0.10 | 7.65 ± 0.03 | 0.76 ± 0.02 | |
| 3.57 ± 0.07 | Not Detected | 15.11 ± 0.10 | 0.24 ± 0.00 | |
| 7.49 ± 0.26 | 0.32 ± 0.02 | 4.20 ± 0.12 | 2.56 ± 0.05 | |
| 60.97 ± 1.39 | 1.41 ± 0.06 | 14.49 ± 0.19 | 0.07 ± 0.00 | |
| 14.10 ± 0.14 | 2.74 ± 0.07 | 7.23 ± 0.09 | 0.62 ± 0.01 | |
| 55.63 ± 0.53 | 0.65 ± 0.02 | 6.09 ± 0.12 | 0.39 ± 0.01 | |
| 23.84 ± 0.26 | 7.06 ± 0.28 | 9.85 ± 0.02 | 0.59 ± 0.02 | |
| 38.09 ± 0.05 | 5.49 ± 0.02 | 3.72 ± 0.02 | 0.65 ± 0.01 | |
| 43.14 ± 0.35 | 5.76 ± 0.16 | 7.74 ± 0.07 | 4.05 ± 0.00 | |
| 13.74 ± 0.64 | 0.35 ± 0.01 | 6.32 ± 021 | 1.11 ± 0.03 | |
| 3.02 ± 0.07 | Not Detected | 4.61 ± 0.07 | 1.42 ± 0.04 | |
| 25.54 ± 0.10 | 3.66 ± 0.05 | 16.23 ± 0.09 | 0.59 ± 0.05 | |
| 3.17 ± 0.15 | Not Detected | 6.36 ± 0.08 | 0.40 ± 0.02 | |
| 6.35 ± 0.06 | Not Detected | 4.19 ± 0.02 | 0.12 ± 0.00 | |
| Standard curve | ||||
| r² = 0.9969 | r² = 0.9971 | r² = 0.9937 | r² = 0.9911 |
Tabulated list of antioxidant activity of 18 aqueous herbal extracts of COVID-19 TCM.
| Not Detected | Not Detected | |
| Not Detected | Not Detected | |
| 14.01 ± 0.80 | 0.59 ± 0.14 | |
| Not Detected | Not Detected | |
| 9.08 ± 1.21 | 2.44 ± 0.05 | |
| Not Detected | Not Detected | |
| 7.97 ± 0.96 | 9.95 ± 0.07 | |
| 0.25 ± 0.02 | 102.40 ± 0.92 | |
| 11.83 ± 0.99 | 4.24 ± 0.05 | |
| 1.45 ± 0.04 | 46.58 ± 0.21 | |
| 4.64 ± 0.48 | 19.74 ± 0.16 | |
| 1.76 ± 0.19 | 44.50 ± 0.14 | |
| 2.00 ± 0.14 | 38.50 ± 0.17 | |
| 18.19 ± 0.98 | 6.88 ± 0.00 | |
| Not Detected | Not Detected | |
| 1.66 ± 0.17 | 45.05 ± 0.19 | |
| 15.55 ± 1.87 | Not Detected | |
| Not Detected | Not Detected | |
| Ascorbic acid | 0.454 ± 0.011 | Not Applicable |
| Standard curve | ||
| r² = 0.9969 | r² = 0.9911 |
Anti-inflammatory activity of the extracts.
| Sample | NO inhibition IC50 (μg/mL) | Cell viability |
|---|---|---|
| 484.69 | Toxicity not detected | |
| 215.7 | Toxicity not detected | |
| 344.28 | Toxicity not detected |
Fig. 1(A) Inhibitory effect of Coicis semen extract on NO production by LPS-stimulated RAW 264.7 cells; (B) MTT survival rate on Coicis semen extract.
Fig. 2(A) Inhibitory effect of Forsythia suspensa extract on NO production by LPS-stimulated RAW 264.7 cells; (B) MTT survival rate on Forsythia suspensa extract.
Fig. 3. (A) Inhibitory effect of Glycyrrhiza uralensis extract on NO production by LPS-stimulated RAW 264.7 cells; (B) MTT survival rate on Glycyrrhiza uralensis extract.
Fig. 4Comparative profiles of power generation of Lonicera japonica, Lysimachia nummularia, Morus alba extracts using microbial fuel cells as a platform of bioenergy evaluation.
Fig. 5Comparative profiles of power generation of Pogostemon cablin, Forsythia suspensa, Perilla frutescens extracts using microbial fuel cells as a platform of bioenergy evaluation.
Comparison upon maximum power density profiles of Lonicera japonica, Lysimachia nummularia, Morus alba extracts by microbial fuel cells.
| Blank | Dopamine | ||||
|---|---|---|---|---|---|
| Power Density | 10.46 ± 0.27 | 16.91 ± 1.19 | 11.50 ± 1.18 | 9.86 ± 0.16 | 36.57 ± 2.34 |
| Amplification factor | 1.61 ± 0.07 | 1.10 ± 0.08 | 0.94 ± 0.00 | 3.49 ± 0.13 |
Comparative list on maximum power density profiles of Pogostemon cablin, Forsythia suspensa, Perilla frutescens extracts by microbial fuel cells.
| Blank | Dopamine | ||||
|---|---|---|---|---|---|
| Power Density | 8.63 ± 0.26 | 17.54 ± 0.96 | 16.78 ± 1.47 | 15.31 ± 0.09 | 31.42 ± 1.43 |
| Amplification factor | 2.03 ± 0.05 | 1.94 ± 0.11 | 1.78 ± 0.06 | 3.64 ± 0.06 |
Active constituents of Pogostemon cablin, Forsythia suspensa and Perilla frutescens with electron shuttles property for anti-COVID-19.
| Plant | Compound | Chemical structure | Refs. |
|---|---|---|---|
| Apigenin | [ | ||
| Caffeic acid | [ | ||
| Chlorogenic acid | [ | ||
| Forsythoside A | [ | ||
| Forsythoside B | |||
| Apigenin | [ | ||
| Luteolin | [ | ||
| Rosmarinic acid | [ |