Herbal Medicines for Inflammatory Diseases 2016View this Special Issue
Hydroxysafflor Yellow A Inhibits LPS-Induced NLRP3 Inflammasome Activation via Binding to Xanthine Oxidase in Mouse RAW264.7 Macrophages
Hydroxysafflor yellow A (HSYA) is an effective therapeutic agent for inflammatory diseases and autoimmune disorders; however, its regulatory effect on NLRP3 inflammasome activation in macrophages has not been investigated. In this study, we predicted the potential interaction between HSYA and xanthine oxidase (XO) via PharmMapper inverse docking and confirmed the binding inhibition via inhibitory test (IC50 = 40.04 μM). Computation docking illustrated that, in this HSYA-XO complex, HSYA was surrounded by Leu 648, Leu 712, His 875, Leu 873, Ser 876, Glu 879, Phe 649, and Asn 650 with a binding energy of −5.77 kcal/M and formed hydrogen bonds with the hydroxyl groups of HSYA at Glu 879, Asn 650, and His 875. We then found that HSYA significantly decreased the activity of XO in RAW264.7 macrophages and suppressed LPS-induced ROS generation. Moreover, we proved that HSYA markedly inhibited LPS-induced cleaved caspase-1 activation via suppressing the sensitization of NLRP3 inflammasome and prevented the mature IL-1β formation from pro-IL-1β form. These findings suggest that XO may be a potential target of HSYA via direct binding inhibition and the combination of HSYA-XO suppresses LPS-induced ROS generation, contributing to the depression of NLRP3 inflammasome and inhibition of IL-1β secretion in macrophages.
Inflammation plays a key role in innate immune responses during infections with invading pathogens such as bacteria, fungus, virus, and parasite . Inflammation can be protective by recruiting immune and inflammatory cells and eliminating pathogens; however, excessive inflammation with overexpression of inflammatory factors and cytokines commonly leads to kinds of autoimmune diseases and host tissue injury, such as inflammatory bowel disease (IBD), psoriasis, and sepsis [2–4].
Pattern-recognition receptors (PRRs) are essential to regulate immune responses by targeting pathogenic microbes and presenting antigens to the adaptive immune system . PRRs can be divided into four categories: toll-like receptors (TLRs), nucleotide-binding domain leucine-rich repeats (NLRs), nucleotide-binding oligomerization domain (NOD), and retinoic acid-inducible gene I-like receptors (RLRs) . In the presence of microbial stimuli, host PRRs such as TLRs promote nuclear factor-kappa B (NF-κB) mediated proinflammatory cytokines expression such as interleukin- (IL-) 1β, IL-6, tumor necrosis factor- (TNF-) α, and nitric oxide (NO) . Meanwhile, another group of PRRs including NLR family pyrin domain-containing 3 (NLRP3) recruit the adaptor protein apoptosis-associated speck-like protein containing CARD (ASC) and procaspase-1. Formation of this complex leads to the activation of caspase-1 by triggering procaspase-1 self-cleavage and promotes the precursor forms of cytokines such as pro-IL-1β and pro-IL-18 into active forms that are secreted . Activation of macrophages triggered by PRRs further induces the maturation of dendritic cells (DCs) by releasing proinflammatory cytokines and promotes the induction of adaptive immune responses .
The NLRP3 inflammasome is mainly expressed in immune and inflammatory cells such as macrophages, monocytes, neutrophils, and DCs when challenged by microbial stimuli. It has been well-established that multiple pathways participate in inflammasome activation such as cellular and mitochondrial reactive oxygen species (ROS), cathepsin B, and cytosolic protein kinase R (PKR) [10–12]. Among all of these triggers, ROS generation is reported to play an essential role in the activation of NLRP3 inflammasome when challenged by stimuli such as lipopolysaccharides (LPS), adenosine triphosphate (ATP), and urate crystals. More fundamentally, a more recent study demonstrated that ROS derived by XO, the oxidized form of xanthine dehydrogenase, is the main source of NLRP3 activation in macrophages, leading to excessive IL-1β and IL-18 secretion . Inhibition of XO by Febuxostat, well-documented XO inhibitor, could significantly decrease the ROS generation and IL-1β secretion in macrophages stimulated by LPS, indicating the predominant role of XO in LPS-induced IL-1β mature and secretion [14, 15].
HSYA (2D and 3D structure in Figure 1) is a water soluble monomer extracted from Carthamus tinctorius L. (Safflower), which has long been used for treatment of cardiovascular diseases in traditional Chinese medicine . Recent researches showed that, besides the therapeutic effects upon cardiovascular system, HSYA exhibits promising anti-inflammatory properties by suppressing innate immune TLR4-inducing pathway, bettering LPS-induced inflammatory injury, scavenging excessive ROS, and inhibiting proinflammatory cytokines generation [17–19]. However, few studies have attempted to uncover the direct target of HSYA and interpret the mechanisms of its anti-inflammatory properties. In this study, we tried to find the potential target of HSYA via inverse prediction method and computation docking and further assessed the role of HSYA in regulating NLRP3/caspase-1/IL-1β pathway in macrophages.
2. Materials and Methods
HSYA [>98% high-performance liquid chromatography (HPLC) purity] was purchased from Tauto Biotech (Shanghai, China). LPS (Escherichia coli O55:B5) was purchased from Sigma-Aldrich Chemical (St. Louis, MO, USA). Fetal bovine serum (FBS), Dulbecco’s modified Eagle medium (DMEM), antibiotic-antimycotic, and TRIzol® reagents were purchased from Gibco (Grand Island, NY, USA). Bicinchoninic acid (BCA) protein assay kit was purchased from Pierce (Rockford, IL, USA). Enzyme-linked immunosorbent assay (ELISA) kits for mouse IL-1β and IL-18 were purchased from Cusabio (Wuhan, China). Antibodies for mouse β-actin, GAPDH, pro-IL-1β, IL-1β, NLRP3, ASC, procaspase-1, and caspase-1 were purchased from Cell Signaling Technology (Danvers, MA, USA). Antibody for XO was purchased from Santa Cruz (Dallas, TX, USA). The goat anti-mouse antibody was purchased from LI-COR Odyssey® (Lincoln, NE, USA). Probe DCFH2DA was purchased from Invitrogen (Carlsbad, CA, USA). XO activity assay kit (C/F) was purchased from BioVision (Milpitas, CA, USA). XO active protein was purchased from Abcam (Cambridge, MA, USA).
2.2. Cell Culture
RAW264.7 macrophage cell line was purchased from the American Type Culture Collection (Rockville, MD, USA). Cells were cultured in DMEM supplemented with 10% FBS and antibiotics (100 U/mL penicillin and 100 U/mL streptomycin) at 37°C in a humidified incubator under 5% CO2.
2.3. Enzyme-Linked Immunosorbent Assay
To detect the levels of cytokines (IL-1β and IL-18) released by RAW264.7 macrophages in vitro, cells were preincubated in 24-well plates (4 × 105 cells/well) for 12 h and pretreated by HSYA (25, 50, and 100 μM) for 3 h. Cells were then washed twice with PBS and challenged by LPS (1 μg/mL) for another 24 h at 37°C under 5% CO2. The supernatants were collected and assayed immediately using sandwich technique. All protocols were performed following the manufacturer’s instructions.
2.4. Western Blot Analysis
Cells (1 × 106) were preincubated at 37°C under 5% CO2 for 12 h and then treated by appropriate experimental reagents. Cells were then harvested on ice, washed three times with cold PBS, and suspended in 500 μL lysis buffer supplemented with protease inhibitors. After incubation on ice for 30 min, cell extracts were centrifuged at 14,000 rpm for 15 min at 4°C to isolate total cell proteins, which were quantified using a BCA protein assay kit. Proteins were separated by SDS-PAGE and electrotransferred to nitrocellulose membranes (Pierce, IL, USA) before hybridization with the appropriate detection antibodies (XO, pro-IL-1β, IL-1β, NLRP3, ASC, procaspase-1, and caspase-1). GAPDH was used to correct for differences in loading of the proteins and for normalization of the densitometric values of immunoblot signals obtained from three separate experiments using LI-COR Odyssey detecting system.
2.5. Quantitative RT-PCR Analysis
Macrophages were preincubated in 6-well plates (1 × 106 cells/well) for 12 h and pretreated by HSYA (25, 50, and 100 μM) 3 h prior to LPS (1 μg/mL) stimulation. Total RNA was extracted using TRIzol reagent. The concentration and integrity of total RNA samples were evaluated by measurement of the A260/280 ratio. Quantitative polymerase chain reaction (PCR) analysis was performed using the DNA Engine Mx3000P® (Agilent, Santa Clara, CA, USA) fluorescence detection system according to optimized PCR protocols. The following primers were used for amplification: β-actin: F: 5′-CCCATCTACGAGGGCTATGC-3′, R: 5′-GGTGTAAAACGCAGCTCAGTA-3′; XO, F: 5′-CACGATGACGAGGACAACGG-3′, R: 5′-TAGGCTCAGGCTTGTTTCGG-3′.
2.6. Measurement of ROS Production
ROS production was detected by measuring intracellular ROS formation using probe DCFH2DA. Briefly, RAW264.7 cells were pretreated with HSYA (100 μM) or positive control Febuxostat (30 μM) for 3 h and then stimulated with LPS (1 μg/mL) for 6 h to promote ROS generation. Cells were washed twice with PBS and then incubated with probe DCFH2DA (20 nM) for 15 min. Fluorescence staining was visualized using a fluorescence microscopy (Olympus, IX71) and fluorescence assays were measured with a fluorescence microplate reader (Tecan, Sunrise) at excitation/emission 525/610 nm.
2.7. Xanthine Oxidase Activity Detection
Theoretically, XO oxidizes xanthine to hydrogen peroxide (H2O2) which reacts stoichiometrically with OxiRed™ Probe to generate color at λ = 570 nm and fluorescence at = 535/587 nm. Since the color or fluorescence intensity is proportional to XO content, the XO activity can be accurately measured.
To detect the direct inhibition of HSYA on XO, we first added HSYA at various concentrations (0, 10, 20, 40, 80, 160, 320, 640, and 1280 μM) into active XO solution and incubated at 37°C for 30 min. After that, this mixed solution was added into a reaction system that consisted of assay buffer, substrate mix, enzyme mix, and OxiRed probe and incubated for another 30 min at 37°C. The plate was then measured immediately at = 535/587 nm. The IC50 of HSYA on XO was calculated by SPSS Probit regression.
To detect the effect of HSYA on XO activity in LPS-stimulated RAW264.7 macrophages, we treated cells with HSYA at different concentrations (25, 50, and 100 μM) for 3 h before LPS challenge (1 μg/mL, 12 h). Febuxostat (30 μM) was employed as positive control. Clear XO extract was obtained by centrifuge (16,000 ×g, 10 min) and the activity of XO from cell extract was added into reaction system and measured as described above.
2.8. Pharmacophore Mapping Prediction of Potential Targets
PharmMapper server is a web server for potential drug targets identification using pharmacophore mapping approach at http://22.214.171.124/pharmmapper/. Briefly, 2D Mol2 file of HSYA (PubChem CID: 6443665) was submitted to PharmMapper server. During the procedure, the maximum conformations were set up to 300, and the number of reserved matched targets was 300. Other parameters were kept as default. The submission ID can be stored and used to check the prediction results.
2.9. Molecular Docking
Further, to characterize the combination between HSYA and XO, we used Autodock and AutoGrid to calculate the binding affinity and binding sites. Briefly, the two-dimensional (2D) structure of HSYA was drawn and converted to Mol2 format by Chemdraw. Then the Mol2 file of HSYA was optimized and saved as final coordinate pdb file for docking study. The 3D crystal structure of XO (entry code 1F04) was downloaded from the Protein Data Bank (PDB) at http://www.rcsb.org/. The grid procedure was handled, by AutoGrid, in a grid box of Å with a 1.0 Å to enclose all the active sites and to allow for the flexible rotations of HSYA. Then, the computation was performed 30 times using Autodock 4.0 and results were saved.
2.10. Statistical Analysis
The data were presented as means ± standard error of the mean (SEM) and differences between mean values of normally distributed data were assessed by the one-way analysis of variance (ANOVA) followed by Duncan’s test for multiple comparisons. Differences were considered significant at .
3.1. PharmMapper Inverse Docking for Potential Target of HSYA
Via pharmacophore mapping approach, 300 potential candidates out of 7302 were listed and sorted according to the fit score (Submission ID 151015052728). Based on the disease information and potential roles in inflammation and redox related signaling pathways, endothelial nitric oxide synthase (PDB ID: 1P6M), NADPH cytochrome P450 reductase (PDB ID: 1J9Z), and XO (PDB ID: 1F04) were selected as potential targets of HSYA. Based on the pharmacophore model, endothelial nitric oxide synthase had one hydrophobic, four donors, and three acceptors; NADPH cytochrome P450 reductase had two hydrophobics, one positive, two negatives, one donor, eight acceptors, and one aromatic; XO had one negative, two donors, and five acceptors. However, since inhibition tests showed that HSYA possessed no depression effects on activities of endothelial nitric oxide synthase and NADPH cytochrome P450 reductase (data not shown), only the pharmacophore model of XO was exhibited in Figure 2.
3.2. HSYA Inhibits the Activity of XO via Direct Combination
To confirm if there is a direct interaction between HSYA and XO, we detected the inhibitory effect of HSYA on XO activity both out of cells and within cells. Febuxostat was used as positive control. Because HSYA liquor appears yellow, we employed fluorescence detection, other than OD detection, to reduce error. Results showed that HSYA exhibited remarkable inhibitory effect on XO activity with IC50 = 40.04 μM out of cells (Figure 3(a)). The IC50 of positive control Febuxostat was 3.24 μM (data not shown). In addition, as shown in Figure 3(b), 50–100 μM HSYA treatment started to exhibit suppression on the activity of XO in LPS-stimulated macrophages (). However, results demonstrated that XO treatment had no noticeable action on the protein and mRNA expression of XO in macrophages () (Figure 4).
3.3. Molecular Docking Studies
Since we confirmed that HSYA inhibits the activity of XO, we tried to further understand the interaction between HSYA and XO by computation docking. From the molecular docking data, we concluded HSYA directly implanted into the activity pocket of XO by hydrophobic characteristic and hydrogen bonds, which are essential to this interacting system with a binding energy of −5.77 kcal/M (Table 1). In this HSYA-XO complex, HSYA was surrounded by Leu 648, Leu 712, His 875, Leu 873, Ser 876, Glu 879, Phe 649, and Asn 650 in hydrophobic interactions (Figures 5(a) and 5(b)). Moreover, Glu 879, Asn 650, and His 875 were observed to form hydrogen bonds with the hydroxyl groups of HSYA (Figure 5(c)).
3.4. HSYA Inhibited ROS Generation in Macrophages
As a main source of ROS, XO in macrophages can be activated by LPS and leads to excessive ROS generation. To investigate if XO inhibition by HSYA results in less ROS production, we evaluated the ROS level via fluorescence detection. As shown in Figure 6, LPS challenge markedly increased the amount of ROS in macrophages (); however, 100 μM HSYA pretreatment for 3 h significantly suppressed LPS-induced ROS generation (), with no remarkable difference compared with 30 μM positive control Febuxostat ().
3.5. HSYA Suppresses the Activation of NLRP3 Inflammasome
Since latest research demonstrated that activation of NLRP3 inflammasome requires the ROS generated by XO, we further detected the effect of HSYA on activation of NLRP3 inflammasome. As shown in Figure 7, 1 μg/mL LPS challenge significantly enhanced the expression of NLRP3, ASC, and procaspase-1 proteins (), indicating that NLRP3 inflammasome was activated by LPS in macrophages. HSYA treatment from 50 to 100 μM notably inhibited the expression of NLRP3 (); however, no significant regulatory effects were observed on expression of ASC and procaspase-1 (). NLRP3 is essential to activate caspase-1 by cleaving procaspase-1 into mature form. Hence, we detected the effect of HSYA on cleaved caspase-1 expression. Result showed that HSYA treatment from 50–100 μM exhibited remarked inhibitory effect on the mature caspase-1 expression in macrophages ().
3.6. HSYA Inhibits the Expression of IL-1β and IL-18 in Macrophages
To further estimate the inhibition of HSYA on NLRP3 inflammasome activation, we checked the expression of NLRP3 downstream cytokines IL-1β and IL-18. As shown in Figure 8(a), HSYA treatment at concentrations from 50 to 100 μM notably decreased the protein expression of IL-1β in a dose-dependent manner (). Results based on Western Blot also displayed that 100 μM HSYA possessed an observable negative regulatory effect on pro-IL-1β expression, but with no significant difference compared with LPS group. Moreover, data in Figure 8(b) showed that, as expected, HSYA treatment at concentrations from 50 to 100 μM markedly decreased the secretion level of IL-1β and IL-18 in supernatant ().
XO is one of the major enzymatic sources of ROS by utilizing molecular oxygen as a substrate to break down xanthine and hypoxanthine into and hydrogen peroxide . It has been well-documented that the activity of XO can be enhanced by kinds of stimuli including LPS and cytokines in macrophages, resulting in many pathologic conditions characterized by oxidative stress and inflammation [21, 22]. Inhibition of XO by pharmacological inhibitors such as Febuxostat and allopurinol markedly decreases XO-induced excessive ROS generation and betters the pathologic conditions, suggesting the essential role of XO in inflammation and providing potential strategy of therapies to cure inflammation diseases [14, 23, 24]. By employing PharmMapper, a server computationally predicting candidates of submitted small molecule, drug, and compounds using inverse docking technique , we found that endothelial nitric oxide synthase, NADPH cytochrome P450 reductase, and XO may be potential disease-related targets of HSYA. However, data from subsequent inhibitory tests showed that HSYA only possessed promising regulatory effect on XO instead of endothelial nitric oxide synthase and NADPH cytochrome P450 reductase. The pharmacophore outcome disposed to the molecule characteristics of HSYA, which convincingly supports the inverse docking result provided by PharmMapper. To better understand the chemical-protein combination information of HSYA and XO, we employed Autodock and AutoGrid to investigate the interaction of HSYA-XO complex. Results demonstrated that HSYA embedded into the active region of XO via hydrophobic interaction, a critical binding force for complex stabilization , with many amino acids including Leu 648, Leu 712, His 875, Leu 873, Ser 876, Glu 879, Phe 649, and Asn 650. Besides, the hydrogen bond interactions between HSYA and XO at residues such as Glu 879, Asn 650, and His 875 also contribute to the combination and endow the inhibitory effect of HSYA on XO activity. Since we proved that HSYA directly inhibits the activity of XO, we tried to further investigate whether HSYA affects the expression of XO and leads to changes in downstream signaling pathways. However, results based on RT-PCR and Western Blot demonstrated that HSYA possesses limited regulatory effect on LPS-induced overexpression of XO at mRNA and protein level, suggesting that HSYA exhibits subsequent regulating properties through inhibiting the activity but not amount of XO in LPS-challenged macrophages.
ROS overproduction triggered by phagocytes is critical for the cellular signaling cascades in macrophages during immune activation [27–29]. Since it has been well-documented that XO plays an important role in ROS generation, we then detected the effect of HSYA on LPS-induced ROS production in RAW264.7 macrophages. Results indicated that 100 μM HSYA pretreatment notably suppressed LPS-induced excessive ROS generation, with no significant difference compared with 30 μM XO inhibitor Febuxostat. Knowing that HSYA owns considerable antioxidant property [30, 31], our findings may partially uncover the mechanism of which HSYA decreases ROS generation. Since it has been proved that XO-induced ROS generation is the dominant trigger of NLRP3 inflammasome , we further investigated the effect of HSYA on NLRP3 inflammasome activation.
NLR family, well-established PRR, is critical for promoting inflammation process in host innate immune response when challenged by infectious stimuli . Among these inflammasomes, NLRP3 has been characterized in most mammalian cells. Studies in macrophages and various animal models demonstrated that the activation of NLRP3 inflammasome can be observed in kinds of autoimmune and inflammatory diseases such as experimental autoimmune encephalomyelitis (EAE) , multiple sclerosis , inflammatory bowel disease including ulcerative colitis, and Crohn’s disease [35, 36]. Moreover, NLRP3 inflammasome activation may contribute to insulin resistance and type II diabetes , uric acid accumulation, and gout . Mechanically, when stimulated by PRRs, NLRP3 inflammasome activates and then promotes the recruitment of ASC and the procaspase-1, resulting in the formation of caspase-1 p10 fragment which contributes to active caspase-1 enzyme that cleaves pro-IL-1β into mature IL-1β form. Results based on Western Blot illustrated that HSYA treatment notably decreased the cleaved caspase-1 expression, indicating that HSYA could suppress LPS-induced activation of NLRP3 inflammasome. To better understand the regulatory effect of HSYA on NLRP3 inflammasome, we detected the protein expression of NLRP3, ASC, and procaspase-1 complex. Results revealed that HSYA notably inhibited LPS-induced NLRP3 expression; however, no noticeable suppressions were observed on the upregulated expression of ASC and procaspase-1. A more recent study in human and mice macrophages demonstrated that ROS generation caused by XO, instead of NOX, is the major source that promotes NLRP3 inflammasome activation . Taken together, we conferred that HSYA treatment restrained the activation of NLRP3 inflammasome via directly binding to XO and inhibiting the ROS overproduction.
IL-1β and IL-18 are two well-documented proinflammatory cytokines that play central role in inflammation and autoinflammatory disorders. It has been established that secretion of IL-1β and IL-18 needs the participation of NLRP3 inflammasome [39, 40]. Hence, we measured the protein expression of pro-IL-1β and IL-1β in macrophages and the secretion of IL-1β and IL-18 in the supernatant. As expected, HSYA pretreatment notably decreased LPS-induced cleaved IL-1β expression, indicating that HSYA inhibited the cleaving process of IL-1β mainly by suppressing the NLRP3 inflammasome activation. Meanwhile, mild abatement of pro-IL-1β expression was observed under HSYA pretreatment. Considering the important role of ROS generation in the activation of NF-κB , a classical nuclear transcription factor that encodes kinds of proinflammatory cytokines including IL-1β, we speculated that ROS scavenging by HSYA partially depressed the activation of NF-κB and led to lower pro-IL-1β protein expression. However, the inhibition of NLRP3 eventually blocked the transformation process from pro-IL-1β to cleaved IL-1β. Detection on secretion of IL-1β and IL-18 by ELISA further proved that HSYA inhibited NLRP3 inflammasome activation and finally suppressed its downstream cytokines secretion. But, since we did not find the suitable antibodies for pro-IL-18 and IL-18 detection, we could not prove whether the downregulation of IL-18 was caused by blocking mature process.
Taken together, we found that XO is a potential target of HSYA using PharmMapper inverse docking and computer simulation. The inhibitory effect of HSYA on XO activity contributes to the ROS scavenging and NLRP3 inflammation suppression triggered by LPS, leading to decreased IL-1β and IL-18 secretion in RAW264.7 macrophages (Figure 9). These findings suggest a potential role of HSYA in pathogenesis of various inflammatory diseases.
The authors confirm that there is no conflict of interests.
This work was supported by grants from National Science and Technology Major Project (no. 2013ZX09102026) and Key Medical Specialty Development Program of Beijing Municipal Administration of Hospitals (no. ZYLX201611).
C. Nathan, “Points of control in inflammation,” Nature, vol. 420, no. 6917, pp. 846–852, 2002.View at: Publisher Site | Google Scholar
N. Lu, L. Wang, H. Cao et al., “Activation of the epidermal growth factor receptor in macrophages regulates cytokine production and experimental colitis,” Journal of Immunology, vol. 192, no. 3, pp. 1013–1023, 2014.View at: Publisher Site | Google Scholar
J. B. Golden, Y. Wang, Y. Fritz et al., “Chronic, not acute, skin-specific inflammation promotes thrombosis in psoriasis murine models,” Journal of Translational Medicine, vol. 13, no. 1, article 382, 2015.View at: Publisher Site | Google Scholar
D. M. Maslove and H. R. Wong, “Gene expression profiling in sepsis: timing, tissue, and translational considerations,” Trends in Molecular Medicine, vol. 20, no. 4, pp. 204–213, 2014.View at: Publisher Site | Google Scholar
C. A. Janeway Jr. and R. Medzhitov, “Innate immune recognition,” Annual Review of Immunology, vol. 20, pp. 197–216, 2002.View at: Publisher Site | Google Scholar
T. Kawai and S. Akira, “Toll-like receptors and their crosstalk with other innate receptors in infection and immunity,” Immunity, vol. 34, no. 5, pp. 637–650, 2011.View at: Publisher Site | Google Scholar
Y.-C. Tsai, H.-W. Chang, T.-T. Chang, M.-S. Lee, Y.-T. Chu, and C.-H. Hung, “Effects of all-trans retinoic acid on Th1- and Th2-related chemokines production in monocytes,” Inflammation, vol. 31, no. 6, pp. 428–433, 2008.View at: Publisher Site | Google Scholar
T. Strowig, J. Henao-Mejia, E. Elinav, and R. Flavell, “Inflammasomes in health and disease,” Nature, vol. 481, no. 7381, pp. 278–286, 2012.View at: Publisher Site | Google Scholar
P. Sagoo, Z. Garcia, B. Breart et al., “In vivo imaging of inflammasome activation reveals a subcapsular macrophage burst response that mobilizes innate and adaptive immunity,” Nature Medicine, vol. 22, no. 1, pp. 64–71, 2016.View at: Publisher Site | Google Scholar
B. Lu, T. Nakamura, K. Inouye et al., “Novel role of PKR in inflammasome activation and HMGB1 release,” Nature, vol. 488, no. 7413, pp. 670–674, 2012.View at: Publisher Site | Google Scholar
V. Hornung, F. Bauernfeind, A. Halle et al., “Silica crystals and aluminum salts activate the NALP3 inflammasome through phagosomal destabilization,” Nature Immunology, vol. 9, no. 8, pp. 847–856, 2008.View at: Publisher Site | Google Scholar
O. Gross, C. J. Thomas, G. Guarda, and J. Tschopp, “The inflammasome: an integrated view,” Immunological Reviews, vol. 243, no. 1, pp. 136–151, 2011.View at: Publisher Site | Google Scholar
A. Ives, J. Nomura, F. Martinon et al., “Xanthine oxidoreductase regulates macrophage IL1β secretion upon NLRP3 inflammasome activation,” Nature Communications, vol. 6, article 6555, 2015.View at: Publisher Site | Google Scholar
J. Nomura, N. Busso, A. Ives et al., “Xanthine oxidase inhibition by febuxostat attenuates experimental atherosclerosis in mice,” Scientific Reports, vol. 4, article 4554, 2014.View at: Publisher Site | Google Scholar
J. Sabán-Ruiz, A. Alonso-Pacho, M. Fabregate-Fuente, and C. de la Puerta González-Quevedo, “Xanthine oxidase inhibitor febuxostat as a novel agent postulated to act against vascular inflammation,” Anti-Inflammatory and Anti-Allergy Agents in Medicinal Chemistry, vol. 12, no. 1, pp. 94–99, 2013.View at: Publisher Site | Google Scholar
Z. Yang, J. Yang, Y. Jia, Y. Tian, and A. Wen, “Pharmacokinetic properties of hydroxysafflor yellow A in healthy Chinese female volunteers,” Journal of Ethnopharmacology, vol. 124, no. 3, pp. 635–638, 2009.View at: Publisher Site | Google Scholar
M. Jin, C.-Y. Sun, and B.-X. Zang, “Hydroxysafflor yellow A attenuate lipopolysaccharide-induced endothelium inflammatory injury,” Chinese Journal of Integrative Medicine, vol. 22, no. 1, pp. 36–41, 2016.View at: Publisher Site | Google Scholar
Y. Lv, Y. Qian, L. Fu, X. Chen, H. Zhong, and X. Wei, “Hydroxysafflor yellow A exerts neuroprotective effects in cerebral ischemia reperfusion-injured mice by suppressing the innate immune TLR4-inducing pathway,” European Journal of Pharmacology, vol. 769, pp. 324–332, 2015.View at: Publisher Site | Google Scholar
Y. He, Q. Liu, Y. Li et al., “Protective effects of hydroxysafflor yellow A (HSYA) on alcohol-induced liver injury in rats,” Journal of Physiology and Biochemistry, vol. 71, no. 1, pp. 69–78, 2016.View at: Publisher Site | Google Scholar
A. G. Porras, J. S. Olson, and G. Palmer, “The reaction of reduced xanthine oxidase with oxygen. Kinetics of peroxide and superoxide formation,” Journal of Biological Chemistry, vol. 256, no. 17, pp. 9006–9103, 1981.View at: Google Scholar
K. Nakai, M. B. Kadiiska, J.-J. Jiang, K. Stadler, and R. P. Mason, “Free radical production requires both inducible nitric oxide synthase and xanthine oxidase in LPS-treated skin,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 12, pp. 4616–4621, 2006.View at: Publisher Site | Google Scholar
P. M. Hassoun, F.-S. Yu, C. G. Cote et al., “Upregulation of xanthine oxidase by lipopolysaccharide, interleukin-1, and hypoxia: role in acute lung injury,” American Journal of Respiratory and Critical Care Medicine, vol. 158, no. 1, pp. 299–305, 1998.View at: Publisher Site | Google Scholar
N. Engberding, S. Spiekermann, A. Schaefer et al., “Allopurinol attenuates left ventricular remodeling and dysfunction after experimental myocardial infarction: a new action for an old drug?” Circulation, vol. 110, no. 15, pp. 2175–2179, 2004.View at: Publisher Site | Google Scholar
R. E. Allen, A. W. D. Claxson, D. R. Blake, and C. J. Morris, “Inhibition of xanthine oxidase by allopurinol: its lack of effect on models of inflammation,” Annals of the Rheumatic Diseases, vol. 49, no. 6, pp. 422–423, 1990.View at: Publisher Site | Google Scholar
X. Liu, S. Ouyang, B. Yu et al., “PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach,” Nucleic Acids Research, vol. 38, no. 2, pp. W609–W614, 2010.View at: Publisher Site | Google Scholar
X. Wang, H. Chen, F. Yang et al., “iDrug: a web-accessible and interactive drug discovery and design platform,” Journal of Cheminformatics, vol. 6, article 28, 2014.View at: Publisher Site | Google Scholar
N. Ivanovska, L. Saso, and P. Dimitrova, “Kinase inhibitors with redox and anti-inflammatory activities,” Current Topics in Medicinal Chemistry, vol. 15, no. 9, pp. 872–885, 2015.View at: Publisher Site | Google Scholar
J. M. Abais, M. Xia, Y. Zhang, K. M. Boini, and P.-L. Li, “Redox regulation of NLRP3 inflammasomes: ROS as trigger or effector?” Antioxidants and Redox Signaling, vol. 22, no. 13, pp. 1111–1129, 2015.View at: Publisher Site | Google Scholar
S. Han, W. Cai, X. Yang et al., “ROS-mediated NLRP3 inflammasome activity is essential for burn-induced acute lung injury,” Mediators of Inflammation, vol. 2015, Article ID 720457, 16 pages, 2015.View at: Publisher Site | Google Scholar
S. Jiang, Z. Shi, C. Li, C. Ma, X. Bai, and C. Wang, “Hydroxysafflor yellow A attenuates ischemia/reperfusion-induced liver injury by suppressing macrophage activation,” International Journal of Clinical and Experimental Pathology, vol. 7, no. 5, pp. 2595–2608, 2014.View at: Google Scholar
S.-Z. Kong, X.-G. Shi, X.-X. Feng et al., “Inhibitory effect of hydroxysafflor yellow A on mouse skin photoaging induced by ultraviolet irradiation,” Rejuvenation Research, vol. 16, no. 5, pp. 404–413, 2013.View at: Publisher Site | Google Scholar
N. A. Bracey, P. L. Beck, D. A. Muruve et al., “The Nlrp3 inflammasome promotes myocardial dysfunction in structural cardiomyopathy through interleukin-1β,” Experimental Physiology, vol. 98, no. 2, pp. 462–472, 2013.View at: Publisher Site | Google Scholar
B.-Z. Shao, W. Wei, P. Ke, Z.-Q. Xu, J.-X. Zhou, and C. Liu, “Activating cannabinoid receptor 2 alleviates pathogenesis of experimental autoimmune encephalomyelitis via activation of autophagy and inhibiting NLRP3 inflammasome,” CNS Neuroscience and Therapeutics, vol. 20, no. 12, pp. 1021–1028, 2014.View at: Publisher Site | Google Scholar
S. J. Lalor, L. S. Dungan, C. E. Sutton, S. A. Basdeo, J. M. Fletcher, and K. H. G. Mills, “Caspase-1-processed cytokines IL-1β and IL-18 promote IL-17 production by γδ and CD4 T cells that mediate autoimmunity,” The Journal of Immunology, vol. 186, no. 10, pp. 5738–5748, 2011.View at: Publisher Site | Google Scholar
W. Guo, W. Liu, B. Jin et al., “Asiatic acid ameliorates dextran sulfate sodium-induced murine experimental colitis via suppressing mitochondria-mediated NLRP3 inflammasome activation,” International Immunopharmacology, vol. 24, no. 2, pp. 232–238, 2015.View at: Publisher Site | Google Scholar
Y. Sun, Y. Zhao, J. Yao et al., “Wogonoside protects against dextran sulfate sodium-induced experimental colitis in mice by inhibiting NF-κB and NLRP3 inflammasome activation,” Biochemical Pharmacology, vol. 94, no. 2, pp. 142–154, 2015.View at: Publisher Site | Google Scholar
P. Ruscitti, P. Cipriani, P. Di Benedetto et al., “Monocytes from patients with rheumatoid arthritis and type 2 diabetes mellitus display an increased production of interleukin (IL)-1β via the nucleotide-binding domain and leucine-rich repeat containing family pyrin 3(NLRP3)-inflammasome activation: a possible implication for therapeutic decision in these patients,” Clinical and Experimental Immunology, vol. 182, no. 1, pp. 35–44, 2015.View at: Publisher Site | Google Scholar
M. C. P. Cleophas, T. O. Crisan, H. Lemmers et al., “Suppression of monosodium urate crystal-induced cytokine production by butyrate is mediated by the inhibition of class I histone deacetylases,” Annals of the Rheumatic Diseases, vol. 75, no. 3, pp. 593–600, 2016.View at: Publisher Site | Google Scholar
X. Li, S. Liu, J. Luo et al., “Helicobacter pylori induces IL-1β and IL-18 production in human monocytic cell line through activation of NLRP3 inflammasome via ROS signaling pathway,” Pathogens and Disease, vol. 73, no. 4, 2015.View at: Publisher Site | Google Scholar
N. Ketelut-Carneiro, G. K. Silva, F. A. Rocha et al., “IL-18 triggered by the Nlrp3 inflammasome induces host innate resistance in a pulmonary model of fungal infection,” Journal of Immunology, vol. 194, no. 9, pp. 4507–4517, 2015.View at: Publisher Site | Google Scholar
Y. Jin, H. Li, G. Xie, S. Chen, S. Wu, and X. Fang, “Sevoflurane combined with ATP activates caspase-1 and triggers caspase-1-dependent pyroptosis in murine J774 macrophages,” Inflammation, vol. 36, no. 2, pp. 330–336, 2013.View at: Publisher Site | Google Scholar