Figures
Abstract
Chimonanthus nitens Oliv. (CN) is a species in the family Calycanthaceae. Its leaf is widely used to make traditional herbal tea in southern China and has a wide range of therapeutic effects. The profile of the ethanol extracts from CN leaves was identified by UPLC-QTOF-MS/MS. Forty seven compounds were determined including organic acids, phenolic acids and derivatives, flavonoids, coumarins, fatty acids and other compounds. The effect of the CN extracts on the inflammatory damage in zebrafish and in RAW 264.7 cells was investigated. The extracts demonstrated a strong ability to inhibit the recruitment of neutrophils in LPS-stimulated zebrafish, but macrophage migration was not significantly affected. Pro-inflammatory cytokines (i.e., TNF-α, IL-6 and IL-1β) were also determined by q-PCR. The extracts strongly reduced mRNA expression of TNF-α, IL-6 but not IL-1β in zebrafish model, while significantly inhibited the production of the factors in the RAW 264.7 cells. Therefore, our results suggest that the ethanol extracts of CN leaves may serve as a source of nutraceutical compounds with anti-inflammatory properties.
Citation: Sun Q, Zhu J, Cao F, Chen F (2017) Anti-inflammatory properties of extracts from Chimonanthus nitens Oliv. leaf. PLoS ONE 12(7): e0181094. https://doi.org/10.1371/journal.pone.0181094
Editor: Horacio Bach, University of British Columbia, CANADA
Received: November 23, 2016; Accepted: June 25, 2017; Published: July 10, 2017
Copyright: © 2017 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper.
Funding: This research was funded by National High-tech Research and Development Program of China (863 Program) (No. 2011AA100804)(http://program.most.gov.cn/) and Research Fund of Fuli Institute of Food Science Zhejiang University (No. KY201403)(http://fifs.zju.edu.cn/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Inflammation is the response of the organism to tissue injury caused by chemicals, bacteria, trauma, or other harmful agents. Triggered by a range of stimuli including damaged cells, pathogens and cytokines such as interleukin-6 (IL-6), IL-1β, and tumor necrosis factor alpha (TNF-α), granulocytes (such as neutrophils) and monocytes, which can then differentiate into macrophages, are attracted to the damaged tissues through chemotaxis, amplify inflammatory reactions and initiate phagocytosis [1]. Inflammation is characterized by swelling and pain and also an important factor involved in the development of many human chronic diseases including cardiovascular disease, diabetes, neurodegenerative diseases and even cancer [2–5]. Nowadays, many natural products, such as flavonoid glycosides, steroids, alkaloids and phenolic glycosides, show potential anti-inflammatory ability [6, 7]. For example, suffruticosol A, a phenolic compound from Paeonia lactiflora Pall. Seedcases, may mediate airway inflammation in mice [8]. Additionally, anthocyanin-rich black mulberry extracts significantly reduced pro-inflammatory cytokines in the serum of ear edema mice [9].
The genus Chimonanthus (wintersweets) is endemic to China, which includes six species. Chimonanthus nitens Oliv. (CN), commonly known as “Liang Ye La Mei” in China, an evergreen shrub, is a member of the family Calycanthaceae. Traditionally, the leaves of CN are widely used to treat common cold and influenza, which are related to its anti-inflammatory property [10, 11]. In the southern China, Chimonanthus leaves are also made into functional herbal tea known as “Shi Liang Cha/Shan La Mei Cha” [10, 12]. In addition, the leaves of CN are promising candidates for dietary interventions targeting obesity and inflammatory bowel disease [11, 13].
The genus Chimonanthus has been reported to contain alkaloids, flavonoids, coumarins, terpenes and steroids [13–16]. However, most of the research mainly focused on Chimonanthus praecox (L.) Link and Chimonanthus nitens var. salicifolius (S.Y.Hu) H.D.Zhang rather than Chimonanthus nitens Oliv. The full profiles of phytochemicals of CN leaves have not been reported, in which may have a wide range of potential anti-inflammatory drugs. Moreover, there has been little work focused on the functional analysis of CN leaf extracts in animal or cell inflammation models.
Zebrafish (Danio rerio) is a useful scientific model organism for studies of vertebrate development and gene function [17]. Transgenic zebrafish with organs or cells labeled by fluorescent proteins represent a less labor-intensive way of visualizing organs or cells in the living organism [18]. Migration of macrophages and neutrophils have been reported to measure the severity of inflammation in zebrafish [19–21]. Furthermore, murine RAW 264.7 macrophage model is one of the typical lipopolysaccharide (LPS)-induced inflammation models ex vivo, and also have been used to evaluate the anti-inflammatory ability of the extracts or compounds [22–24].
The objective of this work was to investigate the chemical composition and anti-inflammatory capacity of ethanol extracts from the CN leaves. The profiles of extracts were analyzed by UPLC-QTOF-MS/MS and HPLC-DAD. The ability of extracts of CN leaves to modulate the inflammatory response was studied in LPS-stimulated zebrafish. The number of macrophages and neutrophils migrating to the damaged tissues was counted. The mRNA expression of inflammatory cytokines (IL-6, IL-1β and TNF-α) was measured by quantitative real-time PCR. The expression of pro-inflammatory cytokine mediators in LPS-stimulated zebrafish and cell models was examined by enzyme linked immunosorbent assay (ELISA).
Material and methods
2.1. Plant materials
The leaves of CN were collected in August 2015 from plants cultivated in Huanggang village (Chishi Township, Yunhe County, Lishui, Zhejiang province, China, 28° 08′ 04″ N, 119° 26′ 35″ E). The botanical identification was provided by Dr. Chaodong Shen (Landscape Architecture Institute, Zhejiang University) and Dr. Chengxin Fu (Institute of Plant Biology, Zhejiang University). A voucher specimen (No. 2017001) was deposited in the Institute of Plant Biology, College of Life Sciences, Zhejiang University, Hangzhou, China, after the identification of species. Yunhe County Bureau of Agriculture issued the permission to collect plant material at this location. The fresh leaves were dried in an oven at 40°C for 12 h and then powdered and stored at 4°C until extraction and analysis.
2.2. Chemicals
Analytical grade methanol and ethanol were purchased from Sinopharm Chemical Reagent Co. (Shanghai, China). Dimethylsulphoxide (DMSO), ethyl 3-aminobenzoate methanesulfonate (Tricaine), dexamethasone (DEX), LPS, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and phenol red were purchased from Sigma-Aldrich Co. (St. Louis, MO, United States). PBS (1×) was purchased from Keyi Biotechnology Co. (Hangzhou, Zhejiang, China). HPLC grade acetonitrile, methanol, formic acid, phosphoric acid, and analytical standards of quercetin (≥98.5%), kaempferol (≥98.0%), kaempferol 3-O-β-rutinoside (≥98.0%) and scopoletin (≥98.0%) were purchased from Aladdin (Shanghai, China). RNAiso Plus, PrimeScript™ RT reagent Kit with gDNA Eraser (Perfect Real Time) and SYBR® Premix Ex Taq™ (Tli RNaseH Plus) were purchased from TAKARA Biotechnology Co. (Dalian, Liaoning, China). Dulbecco’s modified eagle medium (DMEM) was purchased from HyClone Co. (Logan, Utah, United States). 3,3′,5,5′-Tetramethylbenzidine (TMB) was purchased from Huaan Biotechnology Co. (Hangzhou, Zhejiang, China). Fetal bovine serum (FBS) was purchased from Gibco, ThermoFisher Scientific (Shanghai, China). Penicillin-streptomycin was purchased from Solarbio (Beijing, China). ELISA kits for mouse TNF-α, IL-6 and IL-1β were purchased from X-Y Biotechnology Co. (Shanghai, China).
2.3. Sample preparation
Extracts were prepared by suspending CN leaves powders in 1:50 (w/v) of ethanol. The suspensions were shaken for 60 min at 40°C. After filtration, the ethanol extract was concentrated using RV10 rotary evaporator (IKA WORKS, Guangzhou, China) at 40°C under reduced pressure to obtain the dry extract (18 g/100 g leaves powder). For component analysis, the dry extracts were dissolved in methanol (2 g dry leaves powder / 50 mL extracts in methanol). For the animal or cell experiments, the dry extracts were dissolved in DMSO (1 g dry extracts / 20 mL DMSO).
2.4. HPLC-DAD analysis and UPLC-QTOF-MS/MS analysis
Typical compounds were evaluated by HPLC (Shimadzu Scientific Instruments, Kyoto, Japan). Detection and quantification were carried out with LC-20AD pumps, a SPD-M20A Diode Array Detector (DAD), a CTO-20A column oven, a DGU-20A3R degasser and SIL-20A auto sampler (Shimadzu Scientific Instruments, Kyoto, Japan). Separations were conducted at 40°C on InertSustain C18 column (5 μm, 250 × 4.6 mm I.D) (Shimadzu Scientific Instruments, Kyoto, Japan). The flow rate was 1 mL/min, and the absorbance was detected at 360 nm. The mobile phases were water with phosphoric acid (0.1%) (phase A) and methanol (phase B), and the solvent gradient changed according to the following conditions: 0.1 min, 20% B; 5 min, 20% B; 15 min, 25% B; 25 min, 35% B; 35 min, 45% B; 45 min, 55% B; 55 min, 80% B; 65 min, 20% B. The injection volume was 10 μL. Scopoletin, kaempferol-3-O-β-D-rutinoside, quercetin, kaempferol were used as standards. Identification and quantitative analysis were conducted by comparison with standards. The amount of compounds was expressed as mg/g of dry CN leaves using external calibration curves, which were obtained for each standard.
UPLC-QTOF-MS/MS analysis of the CN extracts was performed by the same column at 30°C on a Waters UPLC system (Waters Corp., Milford, MA, United States) coupled to an AB TripleTOF 5600+ System (AB SCIEX, Framingham, United States). The absorbance was detected at 360 nm. The injection volume was 5 μL. The gradient eluent, at flow rate of 1 mL/min, and the mobile phases were water with formic acid (0.1%) as solvent system A and acetonitrile as solvent system B, and the solvent gradient changed according to the following conditions: 0 min, 6% B; 20 min, 20% B; 30 min, 25% B; 40 min, 45% B; 50 min, 80% B; 60 min, 95% B. Analysis parameters were set using a negative-ion mode with a scan range from m/z 100 to 1500. Source voltage was −4.5 kV and the source temperature was 550°C. The pressure of Gas 1 (Air) and Gas 2 (Air) were set to 50 psi. The pressure of Curtain Gas (N2) was set to 30 psi. Maximum allowed error was set to ± 5 ppm. Declustering potential (DP) was 100 V. Collision energy (CE) was 10 V. For MS/MS acquisition mode, the parameters were almost the same except that the collision energy (CE) was set at 40 ± 20 V. Ion release delay (IRD) was at 67. Ion release width (IRW) was at 25. The exact mass calibration was performed automatically using the Automated Calibration Delivery System before each analysis.
2.5. Total flavonoid content analysis
The total flavonoid content was measured using method described previously [25] with a slight modification. The total flavonoid content was expressed as equivalents of rutin [26], instead of catechin [25]. Briefly, extract was mixed with 0.3 mL 5% NaNO2 solution for 6 min followed by addition of 0.3 mL 10% Al(NO3)3 solution for 6 min. 4 mL of 1 M NaOH solution was then added to the reaction mixture. Absorbance was determined at 510 nm using rutin as standard.
2.6. Zebrafish maintenance and embryo collection
All animal procedures were performed in full accordance to the requirement by “Regulation for the Use of Experimental Animals in Zhejiang Province”. This work is approved by the Animal Ethics Committee in the School of Medicine, Zhejiang University (Ethics Code Permit No. ZJU2015-8-26-004Y, issued by the Animal Ethics Committee in the School of Medicine).
Zebrafish (Danio rerio) were raised and maintained in the standard Zebrafish Unit (produced by Aisheng Zebrafish Facility Manufacturer Company, Beijing, China) at Zhejiang University under a constant 14 h on/10 h off light cycle at 28°C. Wild type AB strain and Tg(coro1a:GFP; lyz:DsRed) transgenic fish line [27] were obtained from the Key Laboratory for Molecular Animal Nutrition, Ministry of Education, College of Animal Sciences, Zhejiang University (Hangzhou, China) and were used in this study. After natural spawning, fertilized embryos were collected and cultured in dishes in egg water (culture water for young fish and embryo, 0.05% Sea salts, w/v and 0.002% methylene blue, w/v) at 28°C. For Tg(coro1a:GFP; lyz:DsRed) transgenic line, 0.003% (w/v) 1-phenyl-2-thiourea (PTU) was added to the egg water after 12 h to inhibit melanin formation. Three days post fertilization (dpf) zebrafish larvae were crushed in RNAiso Plus for q-PCR analysis. Anesthetic (0.03% tricaine) is used in microinjection to ameliorate suffering. Animals which were not used for q-PCR were sacrificed by using an excess of tricaine.
2.7. LPS-induced inflammation assay
Capillary (Sutter Instrument, Cat. No. BF100-58-10) was heated in the middle and pulled into two capillary tips by Micropipette Puller (P-97 Flaming/Brown Micropipette Puller, Sutter Instrument, Novato, CA, United States). Tips were cut appropriately by using sterile blade before microinjection. LPS solution (dissolved in PBS, phenol red was also added to prevent repeated injections) was filled into the tip by using a special pipette tip (Microloader™, Eppendorf, Cat. No. 5242956003). 3 dpf larvae were used in this study. The larvae were anesthetized using 0.03% tricaine, then the microinjection was performed with a PLI-100 Microinjection Systems (Harvard Apparatus, Inc., Massachusetts, MA, United States) under a SZX7 Stereo Microscope (Olympus, Japan). After microinjection, the larvae were cultured at 28°C in 6-well culture plates.
2.8. Survival analysis
All zebrafish larvae were divided randomly. Part of 3 dpf larvae were cultured in different concentrations of the CN extracts water (egg water; 0.1% DMSO; 5 μg/mL, 10 μg/mL, 25 μg/mL CN extract dissolved in egg water). Another part of 3 dpf larvae were microinjected with 1 nL of different concentrations of LPS (0 mg/mL, 0.1 mg/mL, 0.5 mg/mL, 1 mg/mL, 2 mg/mL, 5 mg/mL LPS dissolved in PBS) into yolk and then were cultured in egg water. The last part of 3 dpf larvae were microinjected with 1 nL of 5 mg/mL LPS (dissolved in PBS, w/v) into yolk and then were cultured in different concentrations of the CN extract water (0.1% DMSO; 5 μg/mL, 10 μg/mL, 20 μg/mL CN extract dissolved in egg water). Treatments were performed in triplicate (33 larvae per group per dose in 10 mL culture water). The larvae whose heartbeats cannot be observed under stereo microscope are considered as dead individuals. Death count was carried out at 6 h post injection (hpi) and 24 hpi, respectively. The doses leading to low mortality were chosen as the experimental doses.
2.9. Cell migration count and image
Three dpf Tg(coro1a:GFP; lyz:DsRed) transgenic line larvae were microinjected with 1 nL of 0.5 mg/mL LPS (dissolved in PBS, w/v) into yolk or 0.5 nL of the same LPS solution into 5–8 somite muscle and then were cultured in different concentrations of the CN extract water (egg water; 5 μg/mL, 10 μg/mL, 20 μg/mL CN extract or 5 μg/mL DEX dissolved in egg water). At 6 hpi, macrophages and neutrophils migration counts were carried out under a SMZ1000 fluorescence stereomicroscope (Nikon, Japan) and the photos were taken under an AZ100 microscope (Nikon, Japan).
2.10. q-PCR analysis
Three dpf larvae were microinjected with 1 nL of 5 mg/mL LPS (dissolved in PBS, w/v) into yolk and then were cultured in different concentrations of the CN extract water (egg water; 5 μg/mL, 10 μg/mL CN extract or 5 μg/mL DEX dissolved in egg water). Treatments were performed in triplicate (33 larvae per group per dose in 10 mL culture water). The larvae were collected at 24 hpi. Total RNA from different samples were extracted using RNAiso Plus (Takara) according to manufacturer’s instructions. RNA concentrations and purity were assessed by measuring absorbance ratios at A260/A280 nm using NanoDrop ND-1000 (Thermo Scientific, Wilmington, DE, United States). After that, the RNA of treatments was reverse-transcribed to cDNA with RNA PCR kit (TaKaRa). Q-PCR was performed with SYBR Premix Ex Taq (TaKaRa) on Step One RT-PCR system (Applied Biosystems, Forster, CA, United States) according to the manufacturer’s instructions. Three biological replicates were performed. Relative expression was normalized to the internal control gene β-actin gene with 2−ΔΔCT method. The sequences of the primer pairs used for q-PCR were as follows: β-actin forward primer: ATGGATGAGGAAATCGCTGCC, reverse primer: CTCCCTGATGTCTGGGTCGTC; TNF-α forward primer: ACCAGGCCTTTTCTTCAGGT, reverse primer: TGCCCAGTCTGTCTCCTTCT; il-6 forward primer: TCAACTTCTCCAGCGTGATG, reverse primer: TCTTTCCCTCTTTTCCTCCTG; il-1β forward primer: TGGACTTCGCAGCACAAAATG, reverse primer: CACTTCACGCTCTTGGATGA.
2.11. Cell culture and cell viability assay
RAW 264.7 cells were purchased from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China; Cat. No. TCM13). Cells were maintained in DMEM supplemented with 10% FBS and 1% penicillin-streptomycin at 37°C in a 5% CO2 humid atmosphere.
The cytotoxicity of CN leaf extract in RAW 264.7 cells was tested by MTT assay. Cells were seeded in 96-well plates at a concentration of 3 × 104 cells/mL and incubated overnight. Thereafter, the culture medium was replaced by serial dilutions of CN leaf extracts (0.1, 0.3, 0.5, 1.0, 1.5, 5, 10, 50 μg/mL) or DEX (0.5 μg/mL) and further incubated for 24 h. 20 μL of the MTT solution (5 mg/mL in PBS) was added to each well, followed by incubation for 4 h in a CO2 incubator. After incubation, 150 μL of DMSO was added to each well to dissolve formazan crystals, and optical density was measured at 490 nm using a microplate reader.
2.12. Cytokine measurement using ELISA assays
For zebrafish, 3 dpf larvae were treated with the same operations as described previously. Treatments were performed in triplicate (20 larvae per group per dose in 5 mL culture water). Larvae were collected at 24 hpi and put into 50 mL PBS. After homogenization (briefly ultrasonic treatment, 80 kW, 0°C, 30 s), the solution then centrifuged at 12 000 rpm for 15 min at 4°C. The supernatant was collected. Samples and reactive agents were added in the following sequence: 50 μL of TNF-α IgG (Huaan Biotechnology, Hangzhou, China) (1 μg/mL in coating buffer, Na2CO3 and NaHCO3 buffer) were added in each well, and coated overnight at 4°C. Plates were washed three times with 180 μL PBST (0.05% Tween-20 in PBS) and then blocked with 60 μL 1% bovine serum albumin (BSA) of PBST for 1 h at 37°C. Microplates were washed as above and a 50 μL sample diluted 1:50 in PBST with 1% BSA was added and incubated for 1 h at 37°C. BSA was added as negative control. Following a further series of washes (three times for each phase) with PBST, 50 μL of horseradish peroxidase conjugated secondary antibody (Huaan Biotechnology, Hangzhou, China) diluted 1:2000 in PBST with 1% BSA was added and incubated for 45 min at 37°C. After last washing, 100 μL of TMB peroxidase substrate was added to each well and incubated at 37°C in the dark with gentle shaking for 5 min. Reaction was stopped with 90 μL H2SO4 (2 M) and optical density was read at 450 nm with a microplate reader.
For RAW 264.7 cells, macrophages with CN leaf extracts or DEX (0.5 μg/mL) in the presence of LPS (0.5 μg/mL) were seeded in 6-well plates (at a concentration of 3 × 104 cells/mL) for 24 h. The concentrations of the pro-inflammatory cytokines TNF-α, IL-6, and IL-1β in culture supernatant were determined using ELISA kits following the manufacturer’s protocols.
2.13. Statistical analysis
The data are expressed as mean ± S.E. or mean ± SD. One-way ANOVA followed by Fisher's least significant difference (LSD) test was used for assessing significance between the inflammation group and the CN extracts (or DEX) treated groups. Statistical analysis was carried out by using SPSS, version 20 (SPSS Inc., Chicago, United States). Moreover, the UPLC-QTOF-MS/MS data were and analyzed by the software PeakView, version 2.2 and MasterView, version 1.0 (AB SCIEX, Framingham, United States). The MassBank, Pubchem and ChemSpider were applied to analyze the MSn data.
Results
3.1. UPLC-QTOF-MS/MS analysis of ethanol extracts of Chimonanthus nitens Oliv. leaves
Forty seven chemical compounds were identified from the Chimonanthus nitens Oliv. (CN) leaf extracts using UPLC-QTOF-MS/MS as listed in Table 1. All the compounds were identified based on their MSn data and by comparing with MS and MS/MS database and literature. Corresponding standards of scopoletin, kaempferol-3-O-β-D-rutinoside, quercetin and kaempferol were also used to identify the compounds. These compounds can be classified into six groups, including 4 organic acids, 7 phenolic acids and derivatives, 22 flavonoids, 4 coumarins, 4 fatty acids and 6 other compounds. Flavonoids contains 3 flavanols and 19 flavonols. Among these flavonoids, compound 15, 26, 27, 30, 31, 32 and 39 were identified as quercetin and its derivatives, and 18, 28, 33, 35, 36, 37, 38 and 43 were identified as kaempferol and its derivatives. The total ion chromatogram (TIC) of CN leaf extracts in the negative ion mode and DAD chromatogram at 360 nm is shown in Fig 1. Efficient separation of compounds in the CN leaf extracts was achieved using the reversed-phase C18 column in UPLC. Two predominant compounds in CN leaf extracts were kaempferol-3-O-β-D-rutinoside (28) and rutin (quercetin-3-rutinoside, 26), and these were followed by kaempferol-O-glucoside (33), isoquercetin (27) and (Epi)catechin (22).
A. DAD chromatogram at 360 nm of Chimonanthus nitens Oliv. leaves extracts; B. Total ion chromatogram (TIC) of CN extracts in negative ion mode.
3.2. The total flavonoid content and individual compound contents of Chimonanthus nitens Oliv. leaves
The total flavonoid contents of the CN leaves is shown in Table 2, and the standard curve has a relatively high correlation coefficient (> 0.995) in the linearity range for rutin. Meanwhile, four typical compounds were analyzed in this study and identified and quantified by HPLC—DAD followed by comparisons of their retention time to known amounts of authentic standards. Standard curves were fitted for each compound and proved to have high correlation coefficients (> 0.9995). The results are summarized in Table 2. Combined with the “Ion intensity” data in Table 1, the results also suggested that kaempferol-3-O-β-D-rutinoside (5.0366 mg/g DW) might be the most abundant bioactive component in the CN leaves.
3.3. Anti-inflammatory effects of Chimonanthus nitens Oliv. leaf extracts
3.3.1 Survival analysis.
Survival rates of zebrafish were examined by counting the number of dead larvae. The results showed that fish mortality did not vary with the doses of CN leaf extracts or LPS in a dose-dependent manner.
For the groups only treated with extracts (0, 5, 10, 25 μg/mL) or DMSO (0.1%, v/v), all of the groups had no mortality rates (0%) at 6 hpi and had lower mortality rates at 24 hpi (< 1%). DEX is an anti-inflammatory drug and a common positive control for anti-inflammatory experiments [20, 46, 47], it should be less toxic and anti-inflammatory at a reasonable dose. The group treated with DEX (5 μg/mL), as the positive control, had no mortality rate (0%). The effect of LPS doses on the fish mortality was also evaluated. For the groups injected with LPS (up to 5 ng for per injection), results showed lower mortality rates (< 2%) within 24 hpi. Zebrafish showed a strong tolerance against LPS in our study [20]. For the groups injected with LPS (5 ng) and then treated with extracts (0, 5, 10, 20 μg/mL) or DEX (5 μg/mL), mortality rates were less than 1% within 24 hpi. Based on the results of survival analysis, the experimental doses were determined.
3.3.2 Inflammatory cell migration analysis.
The transgenic zebrafish were microinjected with LPS, then treated with different concentrations of CN leaf extracts or DEX. Macrophages and neutrophils that migrated to the injured area were counted at 6 hpi. Since the green fluorescence labeled cells were difficult to observe in yolk because of the background color, the number of macrophages which migrated to the yolk was not counted. As shown in Fig 2A–2G, in the injured area of zebrafish injected with LPS in yolk, the number of neutrophils was up to 38.50 ± 3.41 (3.58-fold to the control group). When zebrafish individuals injected with LPS were treated with 5, 10, 20 μg/mL CN extracts or 5 μg/mL DEX, the number of neutrophils was decreased significantly, 30.85 ± 3.65 (p = 0.073), 25.40 ± 2.01 (p < 0.01), 22.45 ± 2.08 (p < 0.001) and 22.60 ± 3.34 (p < 0.001), respectively. As shown in Fig 2J–2P, after LPS was microinjected into zebrafish somite muscle for 6 h, the number of neutrophils in wound area was up to 22.64 ± 1.94 (24.88-fold to the control group), and the number of macrophages was up to 36.91 ± 1.76 (18.46-fold to the control group). Similarly, when zebrafish injected with LPS were treated with 5, 10, 20 μg/mL CN extracts or 5 μg/mL DEX, a significant dose-dependent decrease in the number of neutrophils was observed, 18.00 ± 2.67 (p = 0.165), 14.82 ± 1.40 (p < 0.05), 10.64 ± 1.04 (p < 0.05) and 9.82 ± 0.98 (p < 0.001), respectively. However, the number of macrophages did not show a significant change in the injured area of somite muscle, except the DEX treated group (p < 0.05). It could be concluded that the CN extracts had no significant effect on macrophages migration, but had an impact on neutrophils.
A-F, images show the macrophages and neutrophils migrated to the yolk microinjected by LPS at 6 hpi. G, neutrophils count in yolk at 6 hpi (n = 20). H and I, microinjection site were marked by * and cell count area were marked by red circle. J-O, images show the macrophages and neutrophils migrated to the somite muscle microinjected by LPS at 6 hpi. P, macrophages and neutrophils count in somite muscle at 6 hpi (n = 11). Data were shown as mean ± S.E. For G and P, * indicates p<0.05, ** is p<0.01, *** is p<0.001.
3.3.3 Inflammatory cytokine mRNA expression analysis.
To elucidate the inhibitory effect of CN leaf extracts on cytokine production in LPS stimulated zebrafish, the mRNA expression of several proinflammatory cytokines (TNF-α, IL-6 and IL-1β) at 24 hpi was examined by q-PCR. The mRNA expressions of all three cytokines were compared with the expression level of β-actin. Extracts were used in this study at concentrations of 5 and 10 μg/mL. As shown in Fig 3, compared to the LPS group, the mRNA expressions of TNF-α, IL-6 and IL-1β were up to 13.07-, 5.56- and 1.30-fold, respectively. For the LPS stimulated zebrafish treated with the CN leaf extracts or DEX, the mRNA expressions of TNF-α, IL-6 and IL-1β were also evaluated. The CN extracts had no significant effect on the expression of IL-1β mRNA. For TNF-α, the CN leaf extracts reduced the production of mRNA at concentrations of 5 μg/mL (↓90.4%, p < 0.05) and 10 μg/mL (↓88.0%, p < 0.05). In addition, extracts significantly reduced IL-6 mRNA expression at concentrations of 5 μg/mL (↓56.9%, p < 0.01) and 10 μg/mL (↓78.0%, p < 0.001) in a dose-dependent manner. It could be concluded that the CN leaf extracts had no effect on the expression of IL-1β in LPS stimulated zebrafish model, but had an effect on the expression of TNF-α and IL-6.
Data were shown as mean ± S.E. (n = 3). * indicates p<0.05, ** is p<0.01, *** is p<0.001.
3.3.4 RAW 264.7 cell viability analysis.
RAW 264.7 macrophages were incubated with CN leaf extracts for 24 h. Cell viability was analyzed using MTT assay. The result showed little or no effect on cell viability relative to the control group at concentrations lower than 1.5 μg/ml (Fig 4). However, the cells treated with the higher concentration (50 μg/ml) of CN leaf extracts showed a reduced viability of 62.35%. Based on this result, non-toxic concentrations of CN leaf extracts (0.1 and 1.0 μg/ml) were used in the subsequent experiments.
Data were shown as mean ± S.E. (n = 3). * indicates p<0.05, ** is p<0.01, *** is p<0.001.
3.3.5 Inflammatory cytokine expression level analysis.
To evaluate the the inhibitory effect of CN leaf extracts on proinflammatory cytokine production, the production level of cytokines (TNF-α, IL-6 and IL-1β) was examined by ELISA. Extracts were used in this study at concentrations of 5 and 10 μg/mL for zebrafish model. As shown in Fig 5A, compared to the control group, extracts significantly reduced TNF-α production at concentrations of 5 μg/mL (↓41.9%, p < 0.005) and 10 μg/mL (↓29.6%, p < 0.01) in LPS-stimulated zebrafish. The results are roughly consistent with the TNF-α mRNA expression analysis.
Data were shown as mean ± S.E. (n = 3). * indicates p<0.05, ** is p<0.01, *** is p<0.001.
The inhibitory effect of CN leaf extracts on proinflammatory cytokine production in RAW 264.7 cells was also examined. As shown in Fig 5B–5D, after LPS induction, the expression levels of three inflammatory factors were increased to 2.66-fold (1103.50 pg/mL for TNF-α), 2.05-fold (98.07 pg/mL for IL-1β) and 2.33-fold (151.38 pg/mL for IL-6). Compared to the LPS group, extracts significantly reduced TNF-α, IL-6 and IL-1β production in LPS-stimulated RAW 264.7 cells, in dose-dependent manners. When LPS-induced cells were treated with the 1.0 μg/ml of the extracts, the production of the inflammatory factors was significantly inhibited to 918.88 pg/mL (for TNF-α, p<0.001), 79.74 pg/mL (for IL-1β, p<0.001) and 124.72 pg/mL (for IL-6, p<0.001).
Discussion
Inflammation has been shown to delay healing and lead to increased scar formation. Meanwhile, chronic inflammation also contributes to cancer and other human diseases [48, 49]. Therefore, human body requires suitable regulation of inflammatory responses. However, nonsteroidal anti-inflammatory drugs that have been used to suppress inflammation may cause gastrointestinal bleeding and ulcers. Growing evidence suggests important roles of dietary factors in preserving health and also suggests that natural products can decrease inflammation. In this study, we characterized the profile of ethanol extracts from Chimonanthus nitens Oliv. leaf by UPLC-QTOF-MS/MS and HPLC-DAD and then investigated the protective effects of CN extracts in zebrafish and RAW 264.7 inflammation models.
Many studies have studied the anti-inflammatory effects of the active extracts or compounds on the expression of pro-inflammatory factors (such as TNF-α, IL-6, IL-1β, IL-8, NF-κB and COX-2) in the zebrafish model only using PCR analysis [27, 50–55], but without further Western Blot or ELISA analysis, the reason might be the underdevelopment of the antibody industry for zebrafish. However, not all the transcripts are translated into proteins. The q-PCR results should be validated with ELISA to show the differences and immunoblotting. In the present study, TNF-α antibody for zebrafish was used to explore the effect of the CN leaf extracts on the expression of TNF-α in zebrafish model. In addition, LPS-stimulated RAW 264.7 cell model was also used for ELISA to explore the expressions of TNF-α, IL-6, IL-1β in order to better understand the anti-inflammatory property of CN leaf extracts and support the conclusions.
Injecting LPS produces both trauma and harmful stimuli that can cause inflammation, and can be considered as an acute inflammation. When LPS was injected into the body, the neutrophils are at first attracted to the wound site, then proliferate. The first wave of neutrophils stimulates the appearance of the macrophages, which will then engulf the aged neutrophils [49]. Both macrophages and neutrophils are stimulated by LPS and release cytokines (TNF-α, IL-6 and IL-1β) in tissue repair to amplify inflammatory response [49]. The migration process of inflammatory cells is closely related to the expression of pro-inflammatory cytokines. Subsequently, the number of macrophages and neutrophils increased at the injured site, accompanied with further increase of pro-inflammatory cytokines. The LPS-stimulated zebrafish model is a model that applied in many studies to evaluate subject’s anti-inflammatory effects [20, 55]. Macrophages can be recognized in zebrafish as early as the 15 h post fertilization (hpf) [56]. Then the neutrophils can been found in the trunk and tail by 48 hpf [57]. Therefore macrophage and neutrophil can be observed in zebrafish larvae at 3 dpf, and are highly attracted to local infections [57]. In the present study, CN leaf extracts (5, 10 and 20 μg/mL) suppressed LPS-stimulated recruitment of neutrophils in zebrafish in a dose-dependent manner. TNF is produced by a broad variety of cell types including macrophages in response to LPS, other bacterial products, and IL-1 [58]. TNF-α can stimulate phagocytosis on macrophages and help neutrophils migrate to the injured site. In this study, CN leaf extracts inhibited LPS-induced TNF-α mRNA and protein levels in zebrafish and RAW 264.7 cells. IL-6 is secreted by macrophages and T cells to stimulate immune response and create pro-inflammatory responses in macrophages [59]. CN leaf extracts treatment significantly reduced LPS-induced IL-6 mRNA expression in zebrafish and IL-6 protein levels in RAW 264.7 cells in dose-dependent manners. IL-1β is also an important mediator of the inflammatory response, and can induce the production of COX-2. CN leaf extracts treatment reduced IL-1β production in LPS-stimulated RAW 264.7 cells in a dose-dependent manner. The inhibitory ability of the extracts in the zebrafish model and the cell model is not exactly the same, which may be due to different complexity of the functional system of living organisms and cell lines. These zebrafish experiment results suggest that the CN extracts may inhibit the mRNA expression of inflammatory factors TNF-α and IL-6 and thus inhibit the inflammation by reducing the number of neutrophils migrating to the injured site. The results also indicate that the compounds in ethanol extracts of CN leaf may serve as potential anti-inflammatory phytochemicals.
Forty seven chemical compounds were identified from the CN leaf extracts in this work, and the presence of most of the compounds screened has not previously been studied in Chimonanthus nitens Oliv. leaf, based on our literature survey. Numerous recent phytochemical studies have increased our understanding of the pharmacological action of these compounds in the CN leaf extracts. Many studies have reported the function of flavonoids, such as targeting obesity and inflammation, antioxidant and anticancer activities [60–63]. CN leaf extracts contain a high amount of flavonoids, especially flavonols. Consequently, it is possible that the flavonoid constituents present in CN leaf extracts could contribute to the antioxidative and anti-inflammatory activity of CN leaf. Quercetin (identified compound 39) has been found to display the anti-inflammatory activity in LPS-stimulated RAW 264.7 cells by controlling pro-inflammatory cytokines (TNF-α, IL-6 and IL-1β) and NO/iNOS [64]. It was also reported that isoquercetin (27) could act as an inhibitor on the formation of the carrageenan-induced hind paw edema, PGE2-induced hind paw edema and TPA-induced ear edema models [65]. Kaempferol-O-rhamnoside (38) was found to inhibit superoxide anion generation, while (Epi)catechin (22) and Kaempferol-O-glucoside (33) could inhibit neutrophil elastase release[66]. Meanwhile, coumarins and their derivatives have shown anti-tumor, anti-viral, anti-inflammatory and antioxidant effects, as well as anti-microbial properties [67, 68]. Fraxin (12) was revealed to inhibit the mRNA expression of iNOS and COX-2 in HaCaT cells (extracted from the roots of Ulmus macrocarpa) [69] and have significant anti-inflammatory effect in acetic acid-induced vascular permeability experiment in mice (extracted from Vaccinium vitis-idaea) [70]. Scopoletin (14) was reported to reduce the overproduction of PGE2 and TNF-α in croton oil-treated mouse ears [71]. The alleviating effect of CN extracts is probably also attributed to their coumarins composition. Since the extract contains a large number of different types of compounds, further isolation work with anti-inflammatory properties still needs to be undertaken.
Conclusions
The present study demonstrated the profiles of the ethanol extracts of Chimonanthus nitens Oliv. leaves and evaluated its anti-inflammatory properties. The presence of many compounds, including coumarins and flavonoids, was reported for the first time in the CN leaves. The total flavonoid contents of the CN leaves and four typical compounds in CN leaves were measured. Additionally, the anti-inflammatory effects of CN leaf extracts were demonstrated both ex vivo and in vivo experiments. The CN extracts showed high activities to inhibit the recruitment of neutrophils and the expressions of TNF-α and IL-6 in LPS-stimulated zebrafish and RAW 264.7 cells. The extracts also inhibit the expression of IL-1β in the cells. Given the complexity of the components in the extract, further work is needed to screen and understand the anti-inflammatory ability of individual components in the CN extracts.
Acknowledgments
Thanks are due to Andrew Sinclair, Ibrahim Elmadfa and Hui Zhang for suggestions for writing this paper. This research was funded by National High-tech Research and Development Program of China (863 Program) (No. 2011AA100804) and Research Fund of Fuli Institute of Food Science Zhejiang University (No. KY201403).
References
- 1.
Hall JE. Guyton and Hall textbook of medical physiology. Saunders Elsevier, Philadelphia, PA, USA. 2011.
- 2. Coussens LM, Zitvogel L, Palucka AK. Neutralizing Tumor-Promoting Chronic Inflammation: A Magic Bullet? Science. 2013;339(6117):286–91. pmid:23329041
- 3. Patel PS, Buras ED, Balasubramanyam A. The role of the immune system in obesity and insulin resistance. Journal of obesity. 2013;2013:616193. pmid:23577240.
- 4. Akiyama H, Barger S, Barnum S, Bradt B, Bauer J, Cole GM, et al. Inflammation and Alzheimer's disease. Neurobiology of Aging. 2000;21(3):383–421. pmid:10858586
- 5. Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444(7121):860–7. pmid:17167474
- 6. Mena P, Dominguez-Perles R, Girones-Vilaplana A, Baenas N, Garcia-Viguera C, Villano D. Flavan-3-ols, Anthocyanins, and Inflammation. Iubmb Life. 2014;66(11):745–58. pmid:25504851
- 7. Debnath T, Kim DH, Lim BO. Natural Products as a Source of Anti-Inflammatory Agents Associated with Inflammatory Bowel Disease. Molecules. 2013;18(6):7253–70. pmid:23783459
- 8. Ryu HW, Song H-H, Shin I-S, Cho BO, Jeong SH, Kim D-Y, et al. Suffruticosol A isolated from Paeonia lactiflora seedcases attenuates airway inflammation in mice induced by cigarette smoke and LPS exposure. Journal of Functional Foods. 2015;17:774–84.
- 9. Chen H, Pu JS, Liu D, Yu WS, Shao YY, Yang GW, et al. Anti-Inflammatory and Antinociceptive Properties of Flavonoids from the Fruits of Black Mulberry (Morus nigra L.). Plos One. 2016;11(4):14. pmid:27046026
- 10.
Commission CP. Pharmacopoeia of the People's Republic of China. 1st ed. Health PCoMo, editor: People’s medical publishing house; 1977.
- 11. Chen L, Li GN, He L, Li XW, Ding H. Intervention Effect of Chimonanthus nitens Oliv. Leaf Extract on the Adipose Tissue of Mice. Modern Food Science and Technology. 2014;30(6):13–7.
- 12. Zhao J, Deng JW, Chen YW, Li SP. Advanced phytochemical analysis of herbal tea in China. Journal of Chromatography A. 2013;1313:2–23. pmid:23906802
- 13. Liu ZZ, Xi J, Schroder S, Wang WG, Xie TP, Wang ZG, et al. Chimonanthus nitens var. salicifolius Aqueous Extract Protects against 5-Fluorouracil Induced Gastrointestinal Mucositis in a Mouse Model. Evidence-Based Complementary and Alternative Medicine. 2013:12. pmid:24367389
- 14. Wang L, Zhang Z, Zou Z, Zhu D. Advances of Studies on Chemical Composition and Pharmacological Activity of Chimonanthus Lindl. Lishizhen Medicine and Materia Medica Research. 2012;23(12):3103–6. CSCD:4742441.
- 15. Wang WX, Cao L, Xiong J, Xia G, Hu JF. Constituents from Chimonanthus praecox (wintersweet). Phytochemistry Letters. 2011;4(3):271–4.
- 16. Kitajima M, Mori I, Arai K, Kogure N, Takayama H. Two new tryptamine-derived alkaloids from Chimonanthus praecox L concolor. Tetrahedron Letters. 2006;47(19):3199–202.
- 17. Zon LI. Zebrafish: A new model for human disease. Genome Research. 1999;9(2):99–100. pmid:10022974
- 18. Cross LM, Cook MA, Lin S, Chen JN, Rubinstein AL. Rapid analysis of angiogenesis drugs in a live fluorescent zebrafish assay. Arteriosclerosis Thrombosis and Vascular Biology. 2003;23(5):911–2. pmid:12740225
- 19. Li L, Yan B, Shi YQ, Zhang WQ, Wen ZL. Live Imaging Reveals Differing Roles of Macrophages and Neutrophils during Zebrafish Tail Fin Regeneration. Journal of Biological Chemistry. 2012;287(30):25353–60. pmid:22573321
- 20. Yang LL, Wang GQ, Yang LM, Huang ZB, Zhang WQ, Yu LZ. Endotoxin Molecule Lipopolysaccharide-Induced Zebrafish Inflammation Model: A Novel Screening Method for Anti-Inflammatory Drugs. Molecules. 2014;19(2):2390–409. pmid:24566310
- 21. Li YJ, Hu B. Establishment of Multi-Site Infection Model in Zebrafish Larvae for Studying Staphylococcus aureus Infectious Disease. Journal of Genetics and Genomics. 2012;39(9):521–34. pmid:23021551
- 22. Lim D, Kim MK, Jang YP, Kim J. Sceptridium ternatum attenuates allergic contact dermatitis-like skin lesions by inhibiting T helper 2-type immune responses and inflammatory responses in a mouse model. Journal of Dermatological Science. 2015;79(3):288–97. pmid:26150208
- 23. Xu W, Zhou Q, Yao Y, Li X, Zhang JL, Su GH, et al. Inhibitory effect of Gardenblue blueberry (Vaccinium ashei Reade) anthocyanin extracts on lipopolysaccharide-stimulated inflammatory response in RAW 264.7 cells. Journal of Zhejiang University-Science B. 2016;17(6):425–36. pmid:27256676
- 24. Huang J, Wang YH, Li C, Wang XL, He XJ. Triterpenes isolated from acorns of Quercus serrata var. brevipetiolata exert anti-inflammatory activity. Ind Crop Prod. 2016;91:302–9.
- 25. Uddin MN, Ahmed NU, Rahman MA, Akter R. Antioxidative Potential of the Polyphenolics of Stephania japonica var. Discolor (Blume) Forman: A Chromatographic (High-Performance Liquid Chromatography) and Spectrophotometric Measure. International Journal of Food Properties. 2016;19(4):911–28.
- 26. Stankovic MS, Radic ZS, Blanco-Salas J, Vazquez-Pardo FM, Ruiz-Tellez T. Screening of selected species from Spanish flora as a source of bioactive substances. Ind Crop Prod. 2017;95:493–501.
- 27. Zhu ZH, Chen J, Xiong JW, Peng JR. Haploinsufficiency of Def Activates p53-Dependent TGF beta Signalling and Causes Scar Formation after Partial Hepatectomy. Plos One. 2014;9(5):13. pmid:24801718
- 28. Sun Y, Qin Y, Li HY, Peng H, Chen HB, Xie HR, et al. Rapid characterization of chemical constituents in Radix Tetrastigma, a functional herbal mixture, before and after metabolism and their antioxidant/antiproliferative activities. Journal of Functional Foods. 2015;18:300–18.
- 29. Cadiz-Gurrea MD, Fernandez-Arroyo S, Joven J, Segura-Carretero A. Comprehensive characterization by UHPLC-ESI-Q-TOF-MS from an Eryngium bourgatii extract and their antioxidant and anti-inflammatory activities. Food Research International. 2013;50(1):197–204.
- 30. Mullen W, Boitier A, Stewart AJ, Crozier A. Flavonoid metabolites in human plasma and urine after the consumption of red onions: analysis by liquid chromatography with photodiode array and full scan tandem mass spectrometric detection. Journal of Chromatography A. 2004;1058(1–2):163–8. pmid:15595664
- 31. Finger A, Engelhardt UH, Wray V. FLAVONOL TRIGLYCOSIDES CONTAINING GALACTOSE IN TEA. Phytochemistry. 1991;30(6):2057–60. pmid:1367342
- 32. Lv H-P, Zhu Y, Tan J-F, Guo L, Dai W-D, Lin Z. Bioactive compounds from Pu-erh tea with therapy for hyperlipidaemia. Journal of Functional Foods. 2015;19:194–203.
- 33. Cadiz-Gurrea MD, Fernandez-Arroyo S, Segura-Carretero A. Pine Bark and Green Tea Concentrated Extracts: Antioxidant Activity and Comprehensive Characterization of Bioactive Compounds by HPLC-ESI-QTOF-MS. International Journal of Molecular Sciences. 2014;15(11):20382–402. pmid:25383680
- 34. Chyau CC, Chu CC, Chen SY, Duh PD. Djulis (Chenopodiun formosaneum) and its bioactive compounds protect against oxidative stress in human HepG2 cells. Journal of Functional Foods. 2015;18:159–70.
- 35. Qing LS, Xue Y, Zhang JG, Zhang ZF, Liang J, Jiang Y, et al. Identification of flavonoid glycosides in Rosa chinensis flowers by liquid chromatography-tandem mass spectrometry in combination with C-13 nuclear magnetic resonance. Journal of Chromatography A. 2012;1249:130–7. pmid:22749452
- 36. Kim SM, Kang SW, Jeon JS, Jung YJ, Kim CY, Pan CH, et al. Rapid identification and evaluation of antioxidant compounds from extracts of Petasites japonicus by hyphenated-HPLC techniques. Biomedical Chromatography. 2012;26(2):199–207. pmid:21656532
- 37. Li Z, Zhao X, Sandhu AK, Gu LW. Effects of Exogenous Abscisic Acid on Yield, Antioxidant Capacities, and Phytochemical Contents of Greenhouse Grown Lettuces. Journal of Agricultural and Food Chemistry. 2010;58(10):6503–9. pmid:20420437
- 38. DuPont MS, Mondin Z, Williamson G, Price KR. Effect of variety, processing, and storage on the flavonoid glycoside content and composition of lettuce and endive. Journal of Agricultural and Food Chemistry. 2000;48(9):3957–64. pmid:10995297
- 39. Shelembe JS, Cromarty D, Bester MJ, Minnaar A, Duodu KG. Characterisation of phenolic acids, flavonoids, proanthocyanidins and antioxidant activity of water extracts from seed coats of marama bean Tylosema esculentum—an underutilised food legume. International Journal of Food Science and Technology. 2012;47(3):648–55.
- 40. Farag MA, Eldin MGS, Kassem H, Abou el Fetouh M. Metabolome Classification of Brassica napus L. Organs via UPLC-QTOF-PDA-MS and Their Anti-oxidant Potential. Phytochemical Analysis. 2013;24(3):277–87. pmid:23055344
- 41. Zhou L, Kang J, Fan L, Ma XC, Zhao HY, Han J, et al. Simultaneous analysis of coumarins and secoiridoids in Cortex Fraxini by high-performance liquid chromatography-diode array detection-electrospray ionization tandem mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 2008;47(1):39–46. pmid:18258402
- 42. Sanz M, Cadahia E, Esteruelas E, Munoz AM, de Simon BF, Hernandez T, et al. Phenolic Compounds in Chestnut (Castanea sativa Mill.) Heartwood. Effect of Toasting at Cooperage. Journal of Agricultural and Food Chemistry. 2010;58(17):9631–40. pmid:20687564
- 43. Zhou Y, Choi FFK, He ZZ, Song JZ, Qiao CF, Liu X, et al. Optimisation of ultra-performance LC conditions using response surface methodology for rapid separation and quantitative determination of phenolic compounds in Artemisia minor. Journal of Separation Science. 2010;33(23–24):3675–82. pmid:21140416
- 44. Iswaldi I, Gomez-Caravaca AM, Lozano-Sanchez J, Arraez-Roman D, Segura-Carretero A, Fernandez-Gutierrez A. Profiling of phenolic and other polar compounds in zucchini (Cucurbita pepo L.) by reverse-phase high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. Food Research International. 2013;50(1):77–84.
- 45. Ni SM, Qian DW, Duan JA, Guo JM, Shang EX, Shu Y, et al. UPLC-QTOF/MS-based screening and identification of the constituents and their metabolites in rat plasma and urine after oral administration of Glechoma longituba extract. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences. 2010;878(28):2741–50. pmid:20829126
- 46. Meier SM, Muqaku B, Ullmann R, Bileck A, Kreutz D, Mader JC, et al. Proteomic and Metabolomic Analyses Reveal Contrasting Anti-Inflammatory Effects of an Extract of Mucor Racemosus Secondary Metabolites Compared to Dexamethasone. Plos One. 2015;10(10):16. pmid:26496078
- 47. Li CQ, He LC, Dong HY, Jin JQ. Screening for the anti-inflammatory activity of fractions and compounds from Atractylodes macrocephala koidz. Journal of Ethnopharmacology. 2007;114(2):212–7. pmid:17869038
- 48.
Chuang CC, McIntosh MK. Potential Mechanisms by Which Polyphenol-Rich Grapes Prevent Obesity-Mediated Inflammation and Metabolic Diseases. In: Cousins RJ, Bier DM, Bowman BA, editors. Annual Review of Nutrition, Vol 31. Annual Review of Nutrition. 31. Palo Alto: Annual Reviews; 2011. p. 155–76.
- 49. Eming SA, Krieg T, Davidson JM. Inflammation in wound repair: Molecular and cellular mechanisms. Journal of Investigative Dermatology. 2007;127(3):514–25. pmid:17299434
- 50. Zhang CN, Zhang JL, Ren HT, Zhou BH, Wu QJ, Sun P. Effect of tributyltin on antioxidant ability and immune responses of zebrafish (Danio rerio). Ecotoxicology and Environmental Safety. 2017;138:1–8. pmid:27987418
- 51. Lima A, Cha BJ, Amin J, Smith LK, Anderson B. Zebrafish Embryo Model of Bartonella henselae Infection. Zebrafish. 2014;11(5):434–46. pmid:25026365
- 52. Marcon M, Herrmann AP, Mocelin R, Rambo CL, Koakoski G, Abreu MS, et al. Prevention of unpredictable chronic stress-related phenomena in zebrafish exposed to bromazepam, fluoxetine and nortriptyline. Psychopharmacology. 2016;233(21–22):3815–24. pmid:27562666
- 53. Cruz FF, Leite CE, Kist LW, de Oliveira GM, Bogo MR, Bonan CD, et al. Effects of caffeine on behavioral and inflammatory changes elicited by copper in zebrafish larvae: Role of adenosine receptors. Comparative Biochemistry and Physiology C-Toxicology & Pharmacology. 2017;194:28–36. pmid:28163255
- 54. Gut P, Baeza-Raja B, Andersson O, Hasenkamp L, Hsiao J, Hesselson D, et al. Whole-organism screening for gluconeogenesis identifies activators of fasting metabolism. Nature Chemical Biology. 2013;9(2):97–104. pmid:23201900
- 55. Yan B, Han PD, Pan LF, Lu W, Xiong JW, Zhang MJ, et al. Il-1 beta and Reactive Oxygen Species Differentially Regulate Neutrophil Directional Migration and Basal Random Motility in a Zebrafish Injury-Induced Inflammation. Journal of Immunology. 2014;192(12):5998–6008. pmid:24835391
- 56. Lieschke GJ, Oates AC, Crowhurst MO, Ward AC, Layton JE. Morphologic and functional characterization of granulocytes and macrophages in embryonic and adult zebrafish. Blood. 2001;98(10):3087–96. pmid:11698295
- 57. Le Guyader D, Redd MJ, Colucci-Guyon E, Murayama E, Kissa K, Briolat V, et al. Origins and unconventional behavior of neutrophils in developing zebrafish. Blood. 2008;111(1):132–41. pmid:17875807
- 58. Olszewski MB, Groot AJ, Dastych J, Knol EF. TNF trafficking to human mast cell granules: Mature chain-dependent endocytosis. Journal of Immunology. 2007;178(9):5701–9.
- 59. Hartman J, Frishman WH. Inflammation and Atherosclerosis: A Review of the Role of Interleukin-6 in the Development of Atherosclerosis and the Potential for Targeted Drug Therapy. Cardiology in Review. 2014;22(3):147–51. pmid:24618929
- 60. Pandey KB, Rizvi SI. Plant polyphenols as dietary antioxidants in human health and disease. Oxidative Medicine and Cellular Longevity. 2009;2(5):270–8. pmid:20716914
- 61. Nabavi SF, Russo GL, Daglia M, Nabavi SM. Role of quercetin as an alternative for obesity treatment: You are what you eat! Food Chemistry. 2015;179:305–10. pmid:25722169
- 62. Kim HP, Son KH, Chang HW, Kang SS. Anti-inflammatory plant flavonoids and cellular action mechanisms. Journal of Pharmacological Sciences. 2004;96(3):229–45. pmid:15539763
- 63. Kawabata K, Mukai R, Ishisaka A. Quercetin and related polyphenols: new insights and implications for their bioactivity and bioavailability. Food & Function. 2015;6(5):1399–417. pmid:25761771
- 64. Cho SY, Park SJ, Kwon MJ, Jeong TS, Bok SH, Choi WY, et al. Quercetin suppresses proinflammatory cytokines production through MAP kinases and NF-kappa B pathway in lipopolysaccharide-stimulated macrophage. Molecular and Cellular Biochemistry. 2003;243(1–2):153–60. pmid:12619901
- 65. Kupeli E, Tatli II, Akdemir ZS, Yesilada E. Estimation of antmociceptive and anti-inflammatory activity on Geranium pratense subsp finitimum and its phenolic compounds. Journal of Ethnopharmacology. 2007;114(2):234–40. pmid:17904777
- 66. Yen CT, Hsieh PW, Hwang TL, Lan YH, Chang FR, Wu YC. Flavonol Glycosides from Muehlenbeckia platyclada and Their Anti-inflammatory Activity. Chem Pharm Bull. 2009;57(3):280–2. pmid:19252320
- 67. Fylaktakidou KC, Hadjipavlou-Litina DJ, Litinas KE, Nicolaides DN. Natural and synthetic coumarin derivatives with anti-inflammatory/antioxidant activities. Current Pharmaceutical Design. 2004;10(30):3813–33. pmid:15579073
- 68. Riveiro ME, De Kimpe N, Moglioni A, Vazquez R, Monczor F, Shayo C, et al. Coumarins: Old Compounds with Novel Promising Therapeutic Perspectives. Current Medicinal Chemistry. 2010;17(13):1325–38. pmid:20166938
- 69. Kwon JH, Kim SB, Park KH, Lee MW. Antioxidative and Anti-inflammatory Effects of Phenolic Compounds from the Roots of Ulmus macrocarpa. Archives of Pharmacal Research. 2011;34(9):1459–66. pmid:21975807
- 70. Wang XJ, Sun H, Fan YL, Li LJ, Makino T, Kano Y. Analysis and bioactive evaluation of the compounds absorbed into blood after oral administration of the extracts of Vaccinium vitis-idaea in rat. Biological & Pharmaceutical Bulletin. 2005;28(6):1106–8.
- 71. Ding ZQ, Dai Y, Hao HP, Pan R, Yao XJ, Wang ZT. Anti-Inflammatory Effects of Scopoletin and Underlying Mechanisms. Pharmaceutical Biology. 2008;46(12):854–60.