| Literature DB >> 35938104 |
Yi Liu1, Ai-Ping Xiao2, Hao Cheng1, Liang-Liang Liu2, Kin Weng Kong3, Hong-Yan Liu1, Ding-Tao Wu4, Hua-Bin Li5, Ren-You Gan1,4.
Abstract
The increasing demand of hemp (Cannabis sativa L.) has attracted more interest in exploring its phytochemical profile and bioactivities, such as anti-inflammatory effect. In this study, the phytochemicals of different hemp leaves were investigated, with the content order: total saponins content (TSC) > total alkaloids content (TAC) > total phenolics content (TPC) > total flavonoids content (TFC) > cannabinoids. Hemp leaves from Shanxi accumulated higher flavonoids and cannabinoids (i.e., THC, CBD, and CBN), while phenolics were more abundant in those from Hunan. A lipopolysaccharide (LPS)-induced inflammatory Matin-Darby canine kidney (MDCK) cell model was established to evaluate the anti-inflammatory effects of hemp leaf extracts. Hemp leaf extracts, especially the D129 and c7, significantly increased cell viability of LPS-induced inflammatory MDCK cells, and D132 significantly decreased the secretion of pro-inflammatory cytokines (TNF-α and IL-6) and the lactate dehydrogenase (LDH) activity. Except for c12, other hemp leaf extracts obviously decreased the cell morphological damage of LPS-induced inflammatory MDCK cells. The correlation analysis revealed that cannabinol (CBN) and TPC showed the strongest correlation with anti-inflammatory activities, and hierarchical clustering analysis also showed that hemp germplasms from Shanxi might be good alternatives to the common cultivar Ym7 due to their better anti-inflammatory activities. These results indicated that hemp leaves were effective in LPS-induced inflammatory MDCK cells, and flavonoids and cannabinoids were potential geographical markers for distinguishing them, which can provide new insights into the anti-inflammatory effect of hemp leaves and facilitate the application of hemp leaves as functional ingredients against inflammatory-related disorders.Entities:
Keywords: Matin-Darby canine kidney cells; anti-inflammatory effects; hemp germplasm; hemp leaves; phytochemicals
Year: 2022 PMID: 35938104 PMCID: PMC9355258 DOI: 10.3389/fnut.2022.902625
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
The content of cannabinoids, flavonoids, phenolics, saponins, and alkaloids in hemp leaves from Shanxi and Hunan of China.
| Samples | CBD | THC | CBN | TFC | TPC | TSC | TAC |
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| (mg/100 g) | (mg/100 g) | (mg/100 g) | (mg RE/g) | (mg GAE/g) | (mg TSE/g) | (mg CE/g) | |
| D129 | 215.6 ± 5.2c | 79.1 ± 2.2f | 11.3 ± 0.14ab | 5.21 ± 0.26a | 16.44 ± 0.29f | 101.20 ± 2.14a | 37.10 ± 1.65a |
| D130 | 214.5 ± 2.3c | 195.3 ± 1.4c | 14.5 ± 0.2a | 3.46 ± 0.20b | 12.66 ± 0.47i | 87.40 ± 1.79c | 11.33 ± 0.76ef |
| D132 | 141.5 ± 3.1d | 257.9 ± 1.5b | 16.5 ± 0.10a | 2.17 ± 0.16de | 14.96 ± 0.26gh | 84.58 ± 2.24d | 13.96 ± 0.59de |
| D134 | 281.5 ± 6.0a | 171.9 ± 2.2d | 8.7 ± 0.08ab | 4.86 ± 0.09b | 13.15 ± 0.61hi | 99.46 ± 0.95b | 14.28 ± 0.95de |
| D142 | 261.8 ± 6.9b | 157.0 ± 14e | 10.6 ± 0.11abc | 4.45 ± 0.31b | 12.02 ± 0.24i | 107.16 ± 2.72a | 12.58 ± 0.96e |
| D361 | 11.5 ± 0.11g | 285.3 ± 13a | 9.9 ± 0.05ab | 4.17 ± 0.19b | 15.94 ± 0.23g | 105.14 ± 3.47a | 11.23 ± 0.67f |
| Ym7 | 117.5 ± 2.1d | 32.6 ± 0.09g | ND | 1.37 ± 0.20f | 39.49 ± 0.38a | 54.27 ± 1.99f | 14.85 ± 0.42d |
| c2 | 118.1 ± 5d | ND | ND | 3.07 ± 0.15c | 32.49 ± 0.06d | 53.98 ± 3.52fg | 13.91 ± 0.44de |
| c4 | 68.3 ± 4f | ND | ND | 2.45 ± 0.26d | 37.40 ± 0.24b | 64.60 ± 3.64e | 26.73 ± 0.57a |
| c7 | ND | ND | 5.0 ± 0.07c | 1.33 ± 0.13f | 35.72 ± 0.47c | 104.68 ± 2.73a | 36.12 ± 0.34a |
| c8 | 89.8 ± 2.3e | ND | 3.9 ± 0.06c | 2.34 ± 0.22d | 36.64 ± 0.26bc | 62.44 ± 2.82e | 28.27 ± 0.83b |
| c12 | ND | ND | ND | 1.59 ± 0.18ef | 30.28 ± 0.34e | 52.74 ± 2.43f | 25.63 ± 0.72c |
ND, not detectable; CBD, cannabidiol; THC, tetrahydrocannabinol; CBN, cannabinol; TFC, total flavonoids content; TPC, total phenolics content; TSC, total saponins content; TAC, total alkaloids content. The superscript letters (a–i) for the same column indicated a statistical significance at p < 0.05.
FIGURE 1The cytotoxicity effect of hemp leaf extracts on MDCK cells. (A) The cytotoxicity of Ym7 hemp leaf extract on MDCK cells. (B) Dose-response effect of LPS in causing inflammatory damage to MDCK cells. (C) The effect of 12 hemp leaf extracts (50 μg/mL) on the proliferation of MDCK cells. (D) The protective effect of hemp leaf extracts (50 μg/mL) against LPS-induced inflammatory damage in MDCK cells. The superscript letters (a–f) indicated a statistical significance at p < 0.05.
FIGURE 2The protective effect of hemp leaf extracts on the morphology of MDCK cells with LPS-induced inflammation. Data are expressed as the mean ± SD (n = 3).
FIGURE 3The levels of LDH released by MDCK cells treated with hemp leaf extracts and LPS-induced inflammation. Data are expressed as the mean ± SD (n = 3). The superscript letters (a–k) indicated statistical significance at p < 0.05.
FIGURE 4The levels of pro-inflammatory cytokines secreted MDCK cells treated with hemp leaf extracts and LPS-induced inflammation. Data are expressed as the mean ± SD (n = 3). The superscript letters (a–l; a–j) indicated statistical significance at p < 0.05.
FIGURE 5Correlation heat map between the phytochemicals and anti-inflammatory effects of 12 hemp leaves. The degree of correlation is marked in colors with different intensities, red (positive correlation) and blue (negative correlation). *Indicated statistical significance at p < 0.05.
FIGURE 6Hierarchical clustering heat map of the 12 hemp leaves, with the degree of differences marked with red and gray.