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Front Pharmacol. 2022; 13: 906927.
Published online 2022 Aug 25. doi:10.3389/fphar.2022.906927
PMCID: PMC9454954
PMID: 36091818
Wenju Li,1,2 Fulong Luo,1,2 Xiaohui Wu,3 Bei Fan,1 Mingran Yang,1 Wu Zhong,2,4 Dongyan Guan,1 Fengzhong Wang,
1,* and Qiong Wang1,5,*
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Abstract
Dandelions (Taraxacum spp.) play an important role in the treatment of inflammatory diseases. In this study, we investigated the anti-inflammatory effects of Dandelion Extract (DE) in LPS-induced RAW264.7 macrophages and copper sulfate (CuSO4)-induced zebrafish larvae. DE was not toxic to RAW264.7 cells at 75μg/ml as measured by cell viability, and DE inhibited LPS-induced cell morphological changes as measured by inverted microscopy. In survival experiments, DE at 25μg/ml had no toxicity to zebrafish larvae. By using an enzymatic standard assay, DE reduced the production of nitric oxide (NO) in LPS-induced RAW264.7 cells. Fluorescence microscopy results show that DE reduced LPS-induced ROS production and apoptosis in RAW264.7 cells. DE also inhibited CuSO4-induced ROS production and neutrophil aggregation in zebrafish larvae. The results of flow cytometry show that DE alleviated the LPS-induced cell cycle arrest. In LPS-induced RAW264.7 cells, RT-PCR revealed that DE decreased the expression of M1 phenotypic genes iNOS, IL-6, and IL-1β while increasing the expression of M2 phenotypic genes IL-10 and CD206. Furthermore, in CuSO4-induced zebrafish larvae, DE reduced the expression of iNOS, TNF-α, IL-6, and IL-10. The findings suggest that DE reduces the LPS-induced inflammatory response in RAW264.7 cells by regulating polarization and apoptosis. DE also reduces the CuSO4-induced inflammatory response in zebrafish larvae.
Keywords: dandelion extract (DE), RAW264.7 cells, zebrafish larvae, M1/M2 subtype, inflammation, apoptosis
Introduction
Dandelions (Taraxacum spp.) are widely used in China, the Middle East, Western Europe, and America. There are 3,529 species of the genus dandelion, of which 2,336 species are named (Martinez et al., 2015; Sharifi-Rad et al., 2018). The most important species are T. officinale and T. mongolicum, which have very similar phytochemical profiles (Table 1), and both are used for similar indications, mainly liver and digestive disorders, and anti-inflammatory conditions including gout (Martinez et al., 2015; Sharifi-Rad et al., 2018). T. officinale is the main species used in traditional Chinese medicine in China, and was included in the first Chinese Pharmacopoeia in 1963. Dandelions extracts elicit their effects via various mechanisms, due to the presence of different classes of constituents with known anti-inflammatory effects.
TABLE 1
Important constituents reported in Dandelion extracts.
| Constituent | Taraxacum officinale | Taraxacum mongolicum |
|---|---|---|
| Flavonoids | ||
| Apigenin | + | + |
| Hesperidin | + | + |
| Isoetin | + | + |
| Luteolin | + | + |
| Quercetin | + | + |
| Phenolic acid derivatives | ||
| Caffeic | + | + |
| Caffeoylquininic | + | + |
| Chlorogenic | + | + |
| Ferulic | + | + |
| Gallic | + | + |
| Coumarins | ||
| Coumestrol | ||
| Scopoletin | + | − |
| Heptaerythrolactone | + | + |
| Umbelliferolactone | + | − |
| Sesquiterpene lactones | + | + |
| Taraxacin | + | |
| Sterols | ||
| Lupeol | + | − |
| Sitosterol | + | − |
| Taraxasterol | + | − |
Note: (+) detected, (-) not detected.
Previous anti-inflammatory studies on dandelions extracts have shown T. mongolicum extract inhibited nitric oxide production in activated RAW264.7 cells (Kim et al., 2011), and T. officinale extracts have significant anti-inflammatory and antioxidant effects in mouse inflammation models, inhibiting the production of cytokines (NO, PGE2, IL-1β, IL-6, and TNF-α, etc.) associated with inflammatory responses through the NF-κB pathway and MAPK pathway (Park et al., 2011; Kikuchi et al., 2016). Immunomodulation plays an important role in the inflammatory process and its intrinsic mechanism may be related to the balance of M1 and M2 phenotypes of macrophages. However, the effects on macrophage apoptosis and polarization by T. officinale have not previously been investigated.
Inflammation is a defensive immune response triggered by stimuli such as bacterial or viral infection, noxious stimuli, or cellular damage (Turner et al., 2014). Macrophages play an immune defense function in the inflammatory response via plasticity and functional polarization (Davies et al., 2013), and macrophages can undergo transformation of M1 and M2 phenotypes in specific microenvironments, and lipopolysaccharide (LPS) is a major component of the cell wall of Gram-negative bacteria that can mimic the early stages of the inflammatory response. LPS has the ability to polarize macrophages to the M1 phenotype, also known as classically active macrophages. M1 macrophages are capable of pro-inflammatory responses and release nuclear factor-κB (NF-κB) signaling pathway through activation of toll-like receptor (TLR) 4 mediated NF-κB signaling pathway to release pro-inflammatory mediators and cytokines such as inducible nitric oxide synthase (iNOS), tumor necrosis factor-α (TNF-α), interleukin-12 (IL-12), IL-6, IL-1β, etc. (Yi, 2016; Hernandez et al., 2019), which trigger type I immune response by boosting their own antigen-presenting capabilities, causing tissue cell injury to end the inflammatory response process. In contrast, interleukin 4 (IL-4) polarize macrophages to the M2 phenotype, also known as alternatively activated macrophage. and M2 macrophages are capable of pro-inflammatory responses and release such as IL-10, IL-4, arginine kinase -1 (Arginase-1), CD206, etc., which promote the self-repair process of tissue damage by inhibiting the development of the inflammatory response (Sica and Mantovani, 2012; Daniel et al., 2018). Thus, in infected tissues, macrophages are first polarized into the M1 phenotype that promotes the inflammatory response to help the host fight the pathogen. Subsequently, macrophages are polarized into an M2 phenotype with anti-inflammatory effects to repair damaged tissues.
Furthermore, excessive generation of reactive oxygen species (ROS), a key signaling molecule for defensive responses, can result in inflammatory responses and disease development (Bjørn and Hasselbalch, 2015; Liu et al., 2018), and ROS can control the apoptotic process (Walls et al., 2011). Stimulation of macrophages with LPS or zebrafish larvae with CuSO4 increases ROS production, increasing inflammation, whereas overproduction of inflammatory factors may cause excessive ROS production (Bjørn and Hasselbalch, 2015; Lanzarin et al., 2021).
To investigate the intrinsic mechanism of the anti-inflammatory effect of Dandelion (T. officinale) extract (DE) in macrophages, we used an LPS-induced in vitro culture of RAW264.7 macrophages to investigate any potential inhibitory effect of DE on LPS-induced macrophage ROS and apoptosis, as well as M1/M2 phenotype-related marker genes. To corroborate this approach, we employed transgenic zebrafish larvae to investigate the effects of DE on CuSO4-induced inflammation, measuring neutrophil aggregation, ROS generation, and inflammatory gene expression.
Materials and Methods
Materials
Dulbecco’s modified Eagle’s medium (DMEM) was purchased from Thermo Scientific; fetal bovine serum (FBS) from Gibco; Lipopolysaccharides (LPS) from Sigma; Nitric Oxide Assay Kit, Hoechst33342 from Beyotime; DCFH-DA Reactive Oxygen ROS Fluorescent Probe, MTT Kit from Solarbio; Cell Cycle Analysis Kit (with RNase) from 4A Biotech Co., Ltd.; EASYspinPlus rapid tissue/cellular RNA extraction kit from Aidlab; GoScript Reverse Transcription System from Promega; NovoStart SYBR qPCR SuperMix Plus from Novoprotein; and RT-PCR primers from Beijing Jingzhe Yongxing Biotechnology Co., (all Beijing, China).
Plant Material and Preparation of the Extract
T. officinale of Chinese Pharmacopoeial quality (2020) was purchased from Beijing Taiyang Shukang Pharmaceutical Co. (Beijing, China). 0.5Kg of herb was exhaustively extracted with boiling water and the decoction from two successive extractions collected. The filtrate was collected, spray dried into powder and stored at −20°C. The yield of extract was 18.8% (w/w).
Phytochemical Analysis of Dandelion Extract
Ultra-performance liquid chromatography (UPLC-QE-Orbitrap-MS) was used to analyse the major constituents. Samples of DE were dissolved in water, vortexed for 30s, sonicated for 30min, centrifuged at 12,000rpm at 4°C for 15min and the supernatant filtered prior to the UPLC-QE-Orbitrap-MS analysis. Conditions were as follows: column, Waters’ BEH C18 column (1.7m × 2.1 × 100mm). Mobile phase A (aqueous formic acid solution 0.1%) and B (acetonitrile solution of formic acid: 0.1%), in a multi-step linear elution gradient program. A Q Exactive Focus mass spectrometer coupled with the Xcalibur software was employed to obtain the MS and MS/MS data based on the IDA acquisition mode.
Cell Culture and Sample Treatment
The RAW264.7 murine macrophage cell line was obtained from Peking University School of Medicine (Beijing, China). Cells were grown in DMEM medium containing 10% fetal bovine serum, 5% CO2, at 37°C.cells were passaged every 24h. Logarithmic growth phase cells were taken for experiments and inoculated at a density of 1×104cells/ml in 96-well plates at 100μl per well, or at a density of 1×106cells/ml in 6-well plates at 2ml per well. After 24h, the experiment was performed with a control group, an LPS group (500ng/ml), and a DE group (3.13, 6.25, 12.5, 25, and 50μg/ml). DE was added to pre-activate for 2h, and then 500ng/ml of LPS solution was added to each well to co-stimulate for 36h.
Cell Viability Assay
RAW264.7 cells were cultured in the 96-well plates at a density of 1 × 104 cells/well overnight and then exposed to various concentrations of DE and LPS (500ng/ml) alone or in combination for 36h. An MTT solution (0.5mg/ml) were added to each well for another 4h. The culture medium was removed and replaced by 100μl dimethyl sulfoxide, and the absorbance was read at 490nm with an enzyme marker.
Cell Morphology
RAW264.7 cells were cultured overnight at a density of 1×104 cells/well in 96-well plates and then exposed to different concentrations of DE and LPS (500ng/ml) individually or in combination for 24h. The morphological changes of each group were observed by inverted microscopy.
Generation of Nitric Oxide
RAW264.7 cells were cultured overnight in 96-well plates at a density of 1×104 cells/well, and then exposed to different concentrations of DE and LPS (500ng/ml) individually or in combination for 24h. 50μl of the supernatant of each group of cells was added to 50μl each of Griess Reagent I and Griess Reagent II solutions, respectively, and the absorbance of each group was measured using an enzyme marker. The absorbance of each group was measured at 540nm.
Reactive Oxygen Species and Apoptosis
RAW264.7 cells were cultured overnight at a density of 1×106 cells/well in 6-well plates, then exposed to different concentrations of DE and LPS (500ng/ml) alone or in combination, then exposed to different concentrations of DE and LPS (500ng/ml) alone or in combination, ROS production was measured with the DCFH-DA Reactive Oxygen ROS Fluorescent Probe according to the manufacturer’s instructions, 1ml of diluted DCFH-DA or Hoechst33342 solution was added at a dilution ratio of 1:1,000, and the final concentration was 10μmol/L. The cells were incubated at 37°C for 30min and washed. Cell morphology was observed by fluorescence microscopy and analyzed by Image-Pro Plus software (Wayne Rasband, National Institute of Health, Bethesda, MD, United States) and fluorescence intensity by flow cytometry after dilution with Hoechst33342.
Cell Cycle Arrest
RAW264.7 cells were cultured overnight, then exposed to different concentrations of DE and LPS (500ng/ml) alone or in combination. The cell cycle is measured by the Cell Cycle Analysis Kit according to the manufacturer’s instructions, cell cycle was detected by flow cytometry and analyzed by FlowJo software.
Zebrafish Maintenance and CuSO4 Culture
Transgenic strains of zebrafish were obtained from the Zebrafish Resource Center in Wuhan, China. According to the Guidelines for the Testing of Chemicals (Effects on Biotic Systems, China), the zebrafish were reared under a 14h light/10h dark cycle at 28.5 ± 1.0°C. Zebrafish embryos were collected by natural spawning using Holfreter water (0.05g/L K/Cl, 0.1g/L CaCl2, 0.2g/L NaHCO3, 3.5g/L NaCl, pH 7.0) for storage. The 3days post-fertilized (dpf) zebrafish embryos were randomly transferred to 6-well plates (30 tails per well) and divided into control, CuSO4 (10µM) and DE (3.13, 6.25, 12.5, and 25µg/ml). Zebrafish embryos were pretreated with different concentrations of DE for 1h and then incubated in a mixture of DE and CuSO4 (10µM) for 40min.
Neutrophils and Reactive Oxygen Species in Zebrafish Larvae
Zebrafish larvae (3dpf) were randomly transferred into 6-well plates (20 strips per well) for neutrophil recruitment and ROS production studies. According to the Guidelines for the Testing of Chemicals (Effects on Biotic Systems, China), Embryos were pretreated with embryo medium dissolved in DE (3.13, 6.25, 12.5, and 25μg/ml) for 1h, incubated in a mixture of DE and CuSO4 (10μM) for 40min, rinsed and anesthetized with MS222. Larvae were photographed under a body vision fluorescence microscope to observe neutrophil recruitment, ROS production was measured with the DCFH-DA Reactive Oxygen ROS Fluorescent Probe according to the manufacturer’s instructions, intensity was analyzed by Image-Pro Plus software.
RNA Isolation and Quantitative Real-Time Reverse Transcriptase Polymerase Chain Reaction
Cellular and zebrafish larval RNA were obtained according to the EASYspinPlus rapid tissue/cellular RNA extraction kit. The cDNA was synthesized by reverse transcription of the first strand according to the GoScript Reverse Transcription System. The oligonucleotide primers for iNOS designed from mouse were GAGGCCCAGGAGGAGAGAGATCCG (forward) and TCCATGCAGACAACCTTGGTGTTG (reverse), for IL-1β designed from mouse were AAATACCTGTGGCCTTGGGC (forward) and CTTGGGATCCACACTCTCCAG (reverse), for IL-6 designed from mouse were CCAGAGATACAAAGAAATGATGG (forward) and ACTCCAGAAGACCAGAGGAAAT (reverse), for IL-10 designed from mouse were GTGGAGCAGGTGAAGAGTGA (forward) and TCGGAGAGAGGTACAAACGAG (reverse), for CD206 designed from mouse were CTTCGGGCCTTTGGAATAAT (forward) and TAGAAGAGCCCTTGGGTTGA (reverse), for Arginase-1 designed from mouse were GTGAAGAACCCACGGTCTGT (forward) and GTGAAGAACCCACGGTCTGT (reverse), for β-actin designed from mouse were GGCTGTATTCCCCTCCATCG (forward) and CCAGTTGGTAACAATGCCATGT (reverse), for iNOS designed from zebrafish CCCGTGTTCCACCAGGAGAT (forward) and CCCGTGTTCCACCAGGAGAT (reverse), for TNF-α designed from zebrafish TATCAGACAACCGTGGCACC (forward) and GCTTCAGCACTTTTCCGTGG (reverse), for IL-6 designed from zebrafish GCAGTATGGGGGAACTATCCG (forward) and GCAGTATGGGGGAACTATCCG (reverse), for IL-10 designed from zebrafish TCCACAACCCCAATCGACTC (forward) and AAGAGCAAATCAAGCTCCCCC (reverse), for GAPDH designed from zebrafish TGAAATTGCCGCACTGGTTG (forward) and AGCCTCATCACCAACGTAGC (reverse). Steadystate mRNA levels of iNOS, IL-1β, IL-6, IL-10, CD206, Arginase-1, TNF-α, GAPDH and β-actin were determined by quantitative PCR using RT-PCR amplifiers (ABI,United States). A dissociation curve analysis of target mRNAs showed a single peak for each. The mean Ct of the gene of interest was calculated from triplicate measurements and normalized with the mean Ct of a control gene GAPDH or β-actin.
Statistical Analysis
GraphPad Prism8.0 software (GraphPad Software, Inc., La Jolla, CA, United States) was used for statistical analyses. Results were expressed as mean ± standard deviation ( ± s), t-test was used to compare the differences between two groups, and a one-way analysis of variance (ANOVA) was used to compare the differences between multiple groups, with p < 0.05 being a significant difference and p < 0.01 being a highly significant difference.
Results
Phytochemical Identification of EPS by UHPLC-QE-MS
In positive and negative flow modes, 406 potential DE components were discovered, with the most important presented in Table 2.
TABLE 2
Characterization of chemical constituents in DE by UHPLC-QE-MS analysis.
| NO. | Name | RT (min) | InChIKey | Formula | molecular mass | Class |
|---|---|---|---|---|---|---|
| 1 | Gallic acid | 1.07 | LNTHITQWFMADLM-UHFFFAOYSA-N | C7H6O5 | 170.12 | Phenols |
| 2 | Protocatechualdehyde | 2.66 | IBGBGRVKPALMCQ-UHFFFAOYSA-N | C7H6O3 | 138.12 | Phenols |
| 3 | Phenylacetic acid | 2.86 | WLJVXDMOQOGPHL-UHFFFAOYSA-N | C8H8O2 | 136.15 | Aromaticity |
| 4 | Caftaric acid | 2.87 | SWGKAHCIOQPKFW-JTNORFRNSA-N | C13H12O9 | 312.23 | Phenylpropanoids |
| 5 | Chlorogenic acid | 2.94 | CWVRJTMFETXNAD-JUHZACGLSA-N | C16H18O9 | 354.31 | Phenylpropanoids |
| 6 | Ferulic acid | 3.36 | KSEBMYQBYZTDHS-HWKANZROSA-N | C10H10O4 | 194.18 | Phenylpropanoids |
| 7 | Apigenin-8-C-glucoside | 5.99 | SGEWCQFRYRRZDC-VPRICQMDSA-N | C21H20O10 | 432.38 | Flavonoids |
| 8 | 3,5-Dicaffeoylquinic acid | 6.09 | KRZBCHWVBQOTNZ-RDJMKVHDSA-N | C25H24O12 | 516.45 | Phenylpropanoids |
| 9 | Liquiritigenin | 6.90 | FURUXTVZLHCCNA-AWEZNQCLSA-N | C15H12O4 | 256.25 | Flavonoids |
| 10 | Luteolin | 7.08 | IQPNAANSBPBGFQ-UHFFFAOYSA-N | C15H10O6 | 286.24 | Flavonoids |
| 11 | Quercetin | 7.10 | REFJWTPEDVJJIY-UHFFFAOYSA-N | C15H10O7 | 302.24 | Flavonoids |
| 12 | Hesperetin | 7.22 | AIONOLUJZLIMTK-AWEZNQCLSA-N | C16H14O6 | 302.28 | Flavonoids |
| 13 | Kaempferide | 8.16 | SQFSKOYWJBQGKQ-UHFFFAOYSA-N | C16H12O6 | 300.26 | Flavonoids |
| 14 | Diosmetin | 8.17 | MBNGWHIJMBWFHU-UHFFFAOYSA-N | C16H12O6 | 300.26 | Flavonoids |
Effect of Dandelion Extract on the Activity of RAW264.7 Cells
The cell viability assay findings (Figure 1) revealed that, compared to the control, the cell viability of DE at concentrations of 150 and 300μg/ml was (96.23 ± 0.14)% and (46.46 ± 0.11)%, with concentration-dependent ;inhibition of cell proliferation. DE concentrations less than 75μg/ml had no influence on cell multiplication or survival rate, hence a concentration range less than 75μg/ml was employed in the following studies.
Effect of Dandelion Extract on the LPS-Induced Morphology in RAW264.7 Cells
The morphology of RAW264.7 cells changes with LPS stimulation (Tu et al., 2021). Figure 2 reveals that the control cells are irregularly circular, but the LPS cells are bigger, have irregular tentacles, and are shuttle-shaped. While LPS increased cell adhesion to the wall, the DE groups’ cell shape tended to be comparable to the control, with some cells returning to semi-adherent round.
Dandelion Extract Reduced LPS-Induced Nitric Oxide Production in RAW264.7 Cells
The stimulation of RAW264.7 cells with LPS increased NO production. (Lin et al., 2021). Figure 3 A shows that, as compared to the control group, NO production was maximal at 500ng/ml of LPS stimulated cells, and subsequently dropped as LPS concentration rose. The impact of DE on cellular NO generation was then studied in the presence of 500ng/ml LPS. DE (9.38, 18.75, 37.5, and 75μg/ml) inhibited the release of LPS-stimulated NO generation in Figure 3B.
NO production after LPS stimulation and after treatment with DE. Cells were pre-stimulated with different concentrations of LPS for 24h. Cell supernatant NO production was measured using an enzyme marker (A). Cells were pretreated with DE for 2h and then stimulated with LPS (500ng/ml) for another 24h. Cell supernatant NO production was measured using an enzyme marker (B). Compared with the control group, ###p < 0.001; compared with the LPS group,***p < 0.001.
Effect of Dandelion Extract on LPS-Induced Intracellular Reactive Oxygen Species in RAW264.7 Cells
As previously demonstrated, LPS stimulation increased ROS production in RAW264.7 cells (Liang et al., 2021). Figures 4A,B show the effect of 500ng/ml LPS stimulation on RAW264.7 cells for 3h. The LPS group’s ROS fluorescence intensity was substantially higher than the control, but DE (18.75, 37.5, and 75μg/ml) reduced the LPS-induced intensity. Figures 4A,C illustrate the opposite result after 24h of LPS stimulation. DE enhanced the intensity of LPS-induced fluorescence.
DE reduced ROS production after LPS stimulation (×40). Cells were pretreated with DE for 2h and then stimulated with LPS (500ng/ml) for another 3h or 24h. Fluorescence microscopy was used to take pictures (A) and the fluorescence intensity of ROS for 3h (B) or 24h (C) was obtained by analysis with Image J software. Compared with the control group, ###p < 0.001; compared with the LPS group, ***p < 0.001.
Effect of Dandelion Extract on LPS-Induced Cell Cycle
Figure 5A shows that DE decreased LPS-induced apoptosis in RAW264.7 cells. LPS and DE (18.75, 37.5, and 75g/ml) co-stimulated RAW264.7 cells during 0–12h, Cell viability increased significantly in the LPS group. The cell viability of the LPS group gradually reduced compared to the control at 12–72h, however DE significantly increased the cell vitality of the LPS group after 24h.
Effect of DE on the LPS-induced RAW264.7 cell cycle. Cells were treated with DE with or without LPS (500ng/ml) co-treatment for 6h, 12h, 24h, 48h, 72h, and the cell viability was measured by the cell viability assay (A). The cell cycle was detected by flow cytometry at 6h and 24h (B), and the cycle changes were analyzed at 6h (C) and 24h (D). Compared with the control group, ###p < 0.001; compared with the LPS group,***p < 0.001.
The results of flow cytometry (Figures 5B,C) show the effects of LPS, DE, and co-stimulated RAW264.7 cells for 6h. The proportion of G0/G1 phase and S phase RAW264.7 cells were significantly reduced in the LPS group compared with the control, and the proportion of G2/M phase RAW264.7 cells was significantly increased, but there was no difference in the DE group compared with the LPS group. After co-stimulation for 24h (Figures 5B,D), the proportion of G0/G1 and S phase cells in the LPS group was significantly decreased compared with the control. DE attenuated this increase. The proportion of G2/M phase cells in the LPS group was significantly increased, and again DE decreased this percentage.
Effect of Dandelion Extract on LPS-Induced Apoptosis in RAW264.7 Cells
DE reduced LPS-induced apoptosis of RAW264.7 cells as shown in Figures 6A,C. Fluorescence intensity was increased in the LPS group, and this was reduced by DE. Flow cytometry (Figure 6B,D,E) showed that LPS stimulation increased the percentage of high fluorescence intensity cells and the average fluorescence intensity of cells, whereas DE decreased this compared to the LPS group.
DE reduction of apoptosis in RAW264.7 cells after LPS stimulation (×100). Cells were pretreated with DE (18.75, 37.5, and 75μg/ml) for 2h and then stimulated with LPS (500ng/ml) for another 3h or 24h. Cells were observed using a fluorescent microscope (A); fluorescence intensity recorded by flow cytometry (B); analysis of fluorescence intensity using Image J software(C). Analysis of the proportion of fluorescence intensity (D) and the average fluorescence intensity (E). Compared with the control group, ###p < 0.001; compared with the LPS group, ***p < 0.001, **p < 0.01.
Effect of Dandelion Extract on LPS-Induced Polarisation of RAW264.7 Cells
We further investigated the regulatory effect of DE on cell polarization. The results in Figure 7 show that DE decreased LPS-induced up-regulation of M1 phenotype genes (IL-1β, IL-6, iNOS) mRNA expression, while increasing LPS-induced down-regulation of M2 phenotype genes (IL-10, CD206) mRNA expression.
Modulation of LPS-stimulated polarization of RAW264.7 cells by DE. Cells were pretreated with DE (4.69, 9.38, 18.75, 37.5, and 75μg/ml) for 2h and then stimulated with LPS (500ng/ml) for another 36h. The expression levels of M1 phenotype genes (IL-1β, IL-6, and iNOS) (A–C), and M2 phenotype genes (CD206, IL-10) (D,E) were obtained by RT-PCR. Compared with the control group, ###p < 0.001, #p < 0.05; compared with the LPS group, ***p < 0.001, **p < 0.01.
Dandelion Extract Reduces Neutrophil Aggregation and Reactive Oxygen Species Production in Transgenic Zebrafish Larvae
In zebrafish larvae, CuSO4 has been shown to induce neutrophil recruitment and ROS production (Gong et al., 2020). Figures 8A,B show that DE (6.25, 12.5, and 25µg/ml) reduced CuSO4 -induced neutrophil aggregation in zebrafish larvae. DE also reduced CuSO4 -induced ROS production (Figures 8A,C).
DE reduces neutrophil aggregation and ROS production in zebrafish larvae. Zebrafish larvae from 3dpf were pretreated with DE for 1h and then stimulated with CuSO4 (10μM) for a further 40min. Fluorescence intensity of neutrophils and ROS were recorded by fluorescence microscopy (A) and analyzed using Image J software for neutrophil aggregation (B) and ROS production (C). Compared with the control group, ###p < 0.001; compared with the CuSO4 group, ***p < 0.001, **p < 0.01.
Dandelion Extract Reduces the Expression of Inflammatory Genes in Zebrafish Larvae
CuSO4 induced the expression of inflammatory mediators. increasing the expression of iNOS, IL-6, IL-10, TNF-α, while DE (3.13, 6.25, 12.5, and 25µg/ml) inhibited the expression of these factors as shown in Figure 9.
DE reduces the expression of inflammatory factors in zebrafish larvae. Zebrafish larvae from 3dpf were pretreated with DE in culture for 1h and then stimulated with CuSO4 (10μM) for a further 40min. The total mRNA was extracted and RT-PCR was performed to analyse iNOS, TNF-α, IL-6, and IL-10 gene expression. β-Actin was used as an internal control (A–D). Compared with the control group, ###p < 0.001; compared with the CuSO4 group, ***p < 0.001.
Discussion
Previous studies have shown that inflammatory responses are prevalent and involved in the development of diseases such as chronic obstructive pulmonary disease, inflammatory bowel disease, neurodegenerative diseases, cardiovascular diseases, digestive diseases, and diabetes (Liu et al., 2018; Aksentijevich et al., 2020). Inflammation not only reduces and eliminates damage caused by harmful factors, but also promotes late tissue repair. However, excessive or abnormal inflammation can lead to further damage to the organism. These inflammatory diseases impose a considerable economic burden on society and shorten the average life expectancy of patients. NSAIDs are commonly used as drugs to suppress inflammatory symptoms, and their long-term use can produce serious side effects, limiting their use (Utzeri and Usai, 2017; Ferrer et al., 2019). Therefore, there is an urgent need to study reliable and effective alternative drugs for the prevention and treatment of various diseases.
In the study, 406 compounds were identified with DE using UHPLC-QE-MS analysis. The main components reported on dandelion are triterpenoids, dandelionin, dandelion sterols, quercetin, lignan, chlorogenic acid, chicory acid, caffeotartaric acid, coumarin, etc. (Esatbeyoglu et al., 2017; Wang et al., 2020). In vitro experiments have shown that aqueous or alcoholic extracts of dandelion (lignan, chlorogenic acid, chicory acid, eucalyptolactones, etc.) can reduce the production of inflammatory factors (NO, PGE2, IL-1β, IL-6, and TNF-α, etc.) to suppress inflammation (Park et al., 2011; Kikuchi et al., 2016). Taraxerol or aqueous extracts (protocatechuic acid, caffeic acid, coumaric acid, ferulic acid, etc.) also improve the inflammatory symptoms of human umbilical vein endothelial cells by inhibiting the expression of NF-κB pathway and related inflammatory factors and adhesion factors, and it can be used to treat chronic diseases such as atherosclerosis and mastitis (Hu et al., 2017). In vivo tests, dandelion sterols were effective against alleviating inflammatory symptoms and reducing the production of pro-inflammatory factors in a mouse model of rheumatoid arthritis disease (Jiang et al., 2016; Chen et al., 2019), and these reports suggest that the inflammatory mediator inhibitory effects of DE may be at least partially due to the presence of these compounds. Further studies are needed to identify the active components in DE.
NO is known to be important in normal physiological conditions, and lipopolysaccharide (LPS) is a prominent component of Gram-negative bacteria’s cell wall that mimics the early phases of the inflammatory response. When activated by LPS, macrophages release pro-inflammatory mediators and cytokines via the toll-like receptor (TLR)4-mediated nuclear factor-B (NF-B) signaling pathway (Yi, 2016; Hernandez et al., 2019). However, increased iNOS expression catalyzes the generation of excess NO, and excess NO promotes inflammatory responses and tissue damage (Lee et al., 2017; Saini and Singh, 2019). As a result, LPS-induced NO production in macrophages may be used to evaluate the course of inflammation, and NO production inhibition may have an inhibitory effect on the inflammatory response. In the study, we discovered that DE reduced NO production as well as iNOS mRNA expression in cells following LPS stimulation, suggesting that DE may have a potential anti-inflammatory effect.
Reactive oxygen species (ROS), an important active component of the inflammatory response in vivo, is mainly produced by NADPH oxidase (Nox), and the cellular activity of ROS has a bidirectional effect and can amplify the secondary messengers of inflammation by activating downstream signaling cascade responses (Hong et al., 2008; Yang et al., 2013). In the study, LPS stimulated RAW264.7 cells to produce ROS at 3h. DE reduced ROS production at 3h of LPS stimulation. The nuclear transcription factor Nrf2 has been reported to play an important regulatory role in ROS production, and Nrf2 activity is inhibited at the very beginning of LPS stimulation of cells before it is activated (Liu et al., 2021). ROS production is likely to be regulated by Nrf2, with early LPS stimulation resulting in decreased Nrf2 production and increased ROS production, and as time passes, Nrf2 production rises and ROS production declines. In addition, ROS also activated the non-specific immune system to eliminate pathogens to suppress inflammation and repair damaged tissues (Blaser et al., 2016; Shen et al., 2020). Intracellular ROS production was reduced by LPS stimulation of cells for 24h, whereas DE increased ROS production at 24h of LPS stimulation. Furthermore, DE reduced copper sulfate-induced neutrophil aggregation in zebrafish larvae as well as ROS production in zebrafish larvae.
On the one hand, previous studies have found that ROS can regulate the apoptotic process (Nathan and Cunningham-Bussel, 2013). ROS exert a bidirectional regulatory effect on macrophages, with ROS both promoting and inhibiting macrophage apoptosis, which may be related to cAMP activation of cAMP-dependent protein kinases (Blaser et al., 2016). ROS production was significantly reduced at 24h of LPS induction and apoptosis was significantly increased in RAW264.7 cells. DE increased ROS production at 24h of LPS stimulation and reduced apoptosis at 24h of LPS stimulation. DE exerts an anti-inflammatory effect probably by increasing ROS in macrophages and inhibiting apoptosis in their own cells, which in turn exerts an immunomodulatory function of macrophages.
It was found that LPS also mediates inflammatory responses through Toll-like receptor 4 (TLR4) (Huang et al., 2021). However, TLR4 activation effectively induces macrophage G0 phase arrest, and G0 phase arrest is accompanied by upregulation of p21 (Mlcochova, et al., 2020), an important transcriptional target of p53 that mediates DNA damage-induced macrophage cell cycle arrest (Besson et al., 2008), which regulates macrophage apoptosis. We found that LPS stimulation for 24h induced macrophage G0/G1 phase block and DE relieved macrophage G0/G1 phase block, whereas LPS stimulation for 6h failed to induce macrophage G0/G1 phase block, but promoted G2/M phase proliferation. The cell viability assay results demonstrated that LPS promoted cell proliferation within 24h of LPS stimulation of RAW264.7 cells, and LPS promoted apoptosis after 24h of LPS stimulation of RAW264.7 cells, and DE inhibited LPS-induced apoptosis of RAW264.7 cells, which may be a result of DE’s ability to deregulate the LPS-induced increase in P21 by downregulating macrophage G0/G1 phase block, thereby inhibiting apoptosis in macrophages, but further studies are needed to confirm this. In addition, the regulation of apoptosis by DE may be related to the deregulation of macrophage G0/G1 phase block by ROS through the upregulation of P21 expression by cAMP, but further studies are needed.
The polarization of macrophages is involved in the regulation of various disease processes, such as immune neuritis, inflammatory bowel disease (Harusato et al., 2013), diabetes and obesity (Feng et al., 2011), rheumatoid arthritis (Wang et al., 2017), etc. Macrophage polarization is induced by LPS to M1-type or by IL-4 to M2-type macrophages (Kimbrough et al., 2018). Our previous study established a model of LPS-induced polarization of RAW264.7 cells (results not shown), and DE significantly decreased the level of LPS-induced M1 phenotype IL-1β, iNOS, and IL-6 mRNA expression in RAW264.7 cells, while DE significantly increased the level of M2 phenotype CD206 and IL-10 mRNA expression to exert anti-inflammatory effects. However, the link between M1/M2 phenotype transformation and apoptosis in RAW264.7 cells needs to be further investigated.
CuSO4-stimulated zebrafish model acts as an in vivo model of inflammation exhibiting inflammatory response similar to those of mammal and are therefore widely used in studies of screening drugs have anti-inflammatory efficacy (Rodríguez-Ruiz et al., 2020). In the present study, DE reduced ROS production as well as neutrophil aggregation in CuSO4-stimulated zebrafish larvae, and DE also decreased the expression levels of iNOS, TNF-α, IL-6, and IL-10, thus inhibiting the inflammatory response in CuSO4-stimulated zebrafish larvae.
In summary, this study showed that DE reduced the morphological changes and NO production and played a bidirectional role in regulating ROS production in LPS-stimulated RAW264.7 cells. DE promoted the expression levels of IL-10 and CD206 in M2-type macrophages to suppress inflammatory reflections. And DE could reduce the apoptosis of RAW264.7 cells, which might be related to the fact that DE released the LPS-induced G0/G1 phase block. In addition, DE reduced CuSO4-stimulated ROS production as well as neutrophil aggregation and decreased the expression levels of iNOS, TNF-α, IL-6, and IL-10 in zebrafish larvae. Therefore, we conclude that DE reduces LPS-induced inflammatory response by regulating the polarization and apoptosis in RAW264.7 cells, and also reduces Cuso4-induced inflammatory response in zebrafish larvae.
Acknowledgments
The authors would like to thank Prof. Elizabeth M. Williamson from Reading University for her help on English editing.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
Ethics Statement
The animal study was reviewed and approved by the Ethics Review Committee of the Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, under the Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences.
Author Contributions
WL, FL, and XW performed the experiments. FW and QW designed the study and revised the paper. BF, DG, MY, and WZ assisted in part of the experiments and data analysis.
Funding
This study was supported by Agricultural Science and Technology Innovation Program, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2020-IFST), the National Key Research and Development Program of China (2016YFE0131800), the High - end Talents Recruitment Program (Liu Xinmin group) of Luzhou Municipal Peoples Government.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2022.906927/full#supplementary-material
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