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      Network pharmacology exploration reveals endothelial inflammation as a common mechanism for stroke and coronary artery disease treatment of Danhong injection

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          Although Danhong injection (DHI) is the most widely prescribed Chinese medicine for both stroke and coronary artery disease (CAD), its underlying common molecular mechanisms remain unclear. An integrated network pharmacology and experimental verification approach was used to decipher common pharmacological mechanisms of DHI on stroke and CAD treatment. A compound-target-disease & function-pathway network was constructed and analyzed, indicating that 37 ingredients derived from DH ( Salvia miltiorrhiza Bge., Flos Carthami tinctorii and DHI) modulated 68 common targets shared by stroke and CAD. In-depth network analysis results of the top diseases, functions, pathways and upstream regulators implied that a common underlying mechanism linking DHI’s role in stroke and CAD treatment was inflammatory response in the process of atherosclerosis. Experimentally, DHI exerted comprehensive anti-inflammatory effects on LPS, ox-LDL or cholesterol crystal-induced NF-κB, c-jun and p38 activation, as well as IL-1β, TNF-α, and IL-10 secretion in vascular endothelial cells. Ten of 14 predicted ingredients were verified to have significant anti-inflammatory activities on LPS-induced endothelial inflammation. DHI exerts pharmacological efficacies on both stroke and CAD through multi-ingredient, multi-target, multi-function and multi-pathway mode. Anti-endothelial inflammation therapy serves as a common underlying mechanism. This study provides a new understanding of DHI in clinical application on cardiovascular and cerebrovascular diseases.

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          Causal analysis approaches in Ingenuity Pathway Analysis

          Motivation: Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks constructed from individual relationships curated from the literature are particularly suited for this task, since they create mechanistic hypotheses that explain the expression changes observed in datasets. Results: We present and discuss a suite of algorithms and tools for inferring and scoring regulator networks upstream of gene-expression data based on a large-scale causal network derived from the Ingenuity Knowledge Base. We extend the method to predict downstream effects on biological functions and diseases and demonstrate the validity of our approach by applying it to example datasets. Availability: The causal analytics tools ‘Upstream Regulator Analysis', ‘Mechanistic Networks', ‘Causal Network Analysis' and ‘Downstream Effects Analysis' are implemented and available within Ingenuity Pathway Analysis (IPA, http://www.ingenuity.com). Supplementary information: Supplementary material is available at Bioinformatics online.
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            NLRP3 inflamasomes are required for atherogenesis and activated by cholesterol crystals that form early in disease

            The inflammatory nature of atherosclerosis is well established but the agent(s) that incite inflammation in the artery wall remain largely unknown. Germ-free animals are susceptible to atherosclerosis, suggesting that endogenous substances initiate the inflammation1. Mature atherosclerotic lesions contain macroscopic deposits of cholesterol crystals in the necrotic core but their appearance late in atherogenesis had been thought to disqualify them as primary inflammatory stimuli. However, using a novel microscopic technique, we revealed that minute cholesterol crystals are present in early diet-induced atherosclerotic lesions and that their appearance coincides with the first appearance of inflammatory cells. Other crystalline substances can induce inflammation by stimulating the caspase-1-activating NLRP3 inflammasome2,3, which results in cleavage and secretion of IL-1 family cytokines. Here, we demonstrate that cholesterol crystals also activate the NLRP3 inflammasome in phagocytes in vitro in a process that involves phago-lysosomal damage. Similarly, when injected intraperitoneally, cholesterol crystals induce acute inflammation, which is impaired in mice deficient in components of the NLRP3 inflammasome, cathepsin B, cathepsin L, or IL-1 molecules. Moreover, when low-density lipoprotein receptor (LDLR) deficient mice were reconstituted with NLRP3-, ASC-, or IL-1α/β-deficient bone marrow and fed a high cholesterol diet, they had markedly reduced early atherosclerosis and inflammasome-dependent IL-18 levels. Our results demonstrate that crystalline cholesterol acts as an endogenous danger signal and its deposition in arteries or elsewhere is an early cause rather than a late consequence of inflammation. These findings provide new insights into the pathogenesis of atherosclerosis and point to new potential molecular targets for the therapy of this disease. Cholesterol, an indispensable lipid in vertebrates, is effectively insoluble in aqueous environments and elaborate molecular mechanisms have evolved that regulate cholesterol synthesis and its transport in fluids4. Cholesterol crystals are recognized as a hallmark of atherosclerotic lesions5 and their appearance helps in the histopathological classification of advanced atherosclerotic lesions6. However, crystalline cholesterol is soluble in the organic solvents used in histology, so that the presence of large crystals is identifiable but only indirectly as so-called cholesterol crystal clefts, which delineate the space that was occupied before sample preparation. The large cholesterol crystal clefts in atherosclerotic plaques were typically only observed in advanced lesions and, therefore, crystal deposition was thought to arise late in this disease. However, given that atherosclerosis is intimately linked to cholesterol levels, we were interested to determine when and where cholesterol crystals first appear during atherogenesis. We fed atherosclerosis-prone Apo-E-deficient mice a high cholesterol diet to induce atherosclerosis7,8 and used a combination of laser reflection and fluorescence confocal microscopy3 to identify crystalline materials and immune cells. Many small crystals appeared as early as two weeks after the start of atherogenic diet within small accumulations of subendothelial immune cells in very early atherosclerotic sinus lesions (Fig. 1a, b and Supplementary Fig. 1, 2). The reflective material was identified as being mostly cholesterol crystals by fillipin staining (not shown). Crystal deposition and immune cell recruitment increased steadily with diet feeding and the appearance of crystals correlated with that of macrophages (r2=0.99, p<0.001) (Fig. 1a-d). Cholesterol crystals were not only detected in necrotic cores but also in subendothelial areas that were rich in immune cells. Confocal imaging revealed crystals to localize both inside and outside of cells (Fig. 1b), whereas in corresponding H&E stained sections that were treated with organic solvents during the staining process cholesterol crystal clefts were visible only after 8 weeks of diet and smaller crystals remained invisible (Fig. 1a). As expected, we failed to detect macrophages or accumulation of crystals in the aortic sinus sections in mice on a regular chow diet (Fig. 1a, b; bottom panel). Additional observations in human advanced atherosclerotic lesions showed that areas rich in immune cells also contained smaller crystals inside and outside of cells in addition to the larger crystals that would leave cholesterol crystal clefts in standard histology (Supplementary Fig. 3, 4). These studies establish that crystals emerge at the earliest time points of diet-induced atherogenesis together with the appearance of immune cells in the subendothelial space. Various crystals that are linked to tissue inflammation, as well as pore-forming toxins or extracellular ATP, can activate IL-1 family cytokines via triggering of NLRP39. Of note, NLRP3 inflammasome formation requires a priming step that can be provided by pattern recognition or cytokine receptors that activate NF-κB. Cellular priming leads to induction of pro-forms of IL-1 family cytokines and NLRP3 itself, a step, which is required for NRLP3 activation at least in vitro 10. To test whether cholesterol crystals could activate the release of IL-1β, we incubated LPS-primed human PBMCs with cholesterol crystals. Cholesterol crystals induced a robust, dose-responsive release of cleaved IL-1β in a caspase-1 dependent manner (Fig. 2a, b). Of note, cholesterol crystals added to unprimed cells did not release IL-1β into the supernatant indicating the absence of any contaminants that would be sufficient for priming of cells (Fig. 2a)10. IL-1 cytokines are processed by caspase-1, which can be activated by various inflammasomes9. Since the NLRP3 inflammasome has been reported to recognize a variety of crystals, we next stimulated macrophages from mice deficient in NLRP3 inflammasome components. Cholesterol crystals induced caspase-1 cleavage and IL-1β release in wild-type but not NLRP3- or ASC-deficient macrophages (Fig. 2c, d). Transfected dsDNA (dAdT), a control activator that induces the AIM-2 inflammasome11, activated caspase-1 and induced IL-1β release in an ASC-dependent yet NLRP3-independent manner, as expected (Fig. 2c, d). In addition, mouse macrophages also produced cleaved IL-18, another IL-1 family member that is processed by inflammasomes (Fig. 2e). We also found that chemically pure synthetic cholesterol crystals activated the NLRP3 inflammasome providing further evidence that cholesterol crystals themselves rather than contaminating molecules were the biologically active material (Supplementary Fig. 5a). Notably, priming of cells for NLRP3 activation could be achieved by other pro-inflammatory substances such as cell wall components of Gram-positive bacteria (Supplementary Fig. 5b). Moreover, minimally modified LDL also primes cells for NLRP3 activation (Supplementary Fig. 5c)12. Together, these data establish that crystalline cholesterol leads to NLRP3 inflammasome activation in human and mouse immune cells. Several hypotheses regarding the molecular mechanisms of NLRP3 inflammasome activation have been formulated3,13. To further elucidate the mechanisms involved in cholesterol crystal recognition, we pharmacologically inhibited phagocytosis with cytochalasin D or lantriculin A and found that these agents inhibited NLRP3 inflammasome activation by crystals (Fig. 3 and Supplementary Fig. 6 a, c, d). In contrast, these inhibitors did not block the activation of the NLRP3 inflammasome by the pore-forming toxin nigericin or the AIM2 activator dAdT (Fig. 3a and Supplementary Fig. 6a, c, d). To follow the fate of the internalized particles, we performed combined confocal reflection and fluorescence microscopy in macrophages incubated with cholesterol crystals. This analysis revealed that cholesterol crystals induced profound swelling in a fraction of cells (Fig. 3b) as observed for other aggregated materials3,14. Phago-lysosomal membranes contain lipid raft components15, which allowed us to stain the surface of cells with the raft marker choleratoxin B labeled with one fluorescent color and additionally label internal phago-lysosomal membranes after cell permeabilization with differently fluorescing choleratoxin B. Indeed, in macrophages that had previously ingested cholesterol crystals this staining revealed that some cholesterol crystals lacked phago-lysosomal membranes and resided in the cytosol of a fraction of cells, thus indirectly indicating crystal-induced phago-lysosomal membrane rupture (Fig. 3c). This finding was further supported by crystal-induced translocation of soluble lysosomal markers into the cytosol (see below). Additionally, in mouse macrophages cholesterol crystals dose-responsively led to a loss of lysosomal acridine orange fluorescence further confirming lysosomal disruption (Fig. 3d). These studies suggest that cholesterol crystals induced lysosomal damage in macrophages leads to the translocation of phago-lysosomal content into the cytosol. In further experiments we found that the inhibition of lysosomal acidification or cathepsin activity blocked the ability of cholesterol crystals to induce IL-1β secretion (Fig. 3e). Likewise, analysis of cells from mice deficient in single cathepsins (B or L) also showed that cholesterol crystals led to a diminished IL-1β release when compared to wild-type cells. However, the dependency of cholesterol crystal-induced IL-1β release on single cathepsins was less pronounced at higher doses suggesting functional redundancy of cathepsin B and L or potentially additional proteases (Fig. 3f). Together, these experiments suggest that cholesterol crystals induce translocation of lysosomal proteolytic contents, which can be sensed by the NLRP3 inflammasome by as yet undefined mechanisms. It has previously been demonstrated that oxidized LDL, a major lipid species deposited in vessels, has the potential to damage lysosomal membranes16. We found that macrophages incubated with oxidized LDL internalized this material and nucleated crystals in large, swollen, phago-lysosomal compartments (Fig. 3g); and in some cells these compartments ruptured with translocation of the fluorescent marker dye into the cytosol (Fig. 3g, arrows). A time course analysis revealed that small crystals appeared as early as one hour after incubation with oxidized LDL (not shown) and larger crystals were visible after longer incubation times (Fig. 3h). It is likely that cholesterol crystals form due to the activity of acid cholesterol ester hydolases, which transform cholesteryl esters supplied by oxidized LDL into free cholesterol. As indicated above, minimally modified LDL can prime cells for the NLRP3 inflammasome activation (Supplementary Fig. 5c). Recent evidence suggests that this priming proceeds via the activation of a TLR4/6 homodimer and CD3612. This, together with the propensity of minimally modified LDL to form crystals and to rupture lysosomal membranes, suggests that these LDL species could be sufficient to provide both signals 1 and 2 needed to activate IL-1β release from cells. Indeed, after 24 h incubation we observed spontaneous release of IL-1β in the absence of further NLRP3 inflammasome stimulation (Fig. 3i). In murine atherosclerotic lesions we identified not only macrophages and dendritic cells but also neutrophils accumulated within the intima space (see Supplementary Fig. 2). IL-1β plays a key role in the recruitment of neutrophils, and the IL-1-dependent intraperitoneal accumulation of neutrophils has frequently been used as an in vivo assay for inflammasome activation and IL-1 production2,17,18. Using this acute inflammation model we found that cholesterol crystals induced a robust induction of neutrophil influx into the peritoneum (Fig. 4a). Neutrophil influx into the peritoneum after cholesterol crystal deposition was markedly reduced in mice lacking IL-1 or the IL-1 receptor (IL-1R), indicating that IL-1 production is indeed induced and essential for cholesterol crystal-induced inflammation in vivo. Moreover, mice lacking NLRP3 inflammasome components or cathepsins B or L also recruited significantly fewer neutrophils into the peritoneum after cholesterol crystal injection than wild-type mice. However, the reduction in neutrophilic influx observed after cholesterol crystal deposition was more pronounced in mice lacking IL-1 related genes than in mice lacking NLRP3 inflammasome related genes (Fig. 4a), presumably because of the contribution of IL-1α signaling and/or caspase-1-independent processing of IL-1β19 in vivo. In any case, these data confirm that cholesterol crystals trigger NLRP3 inflammasome-dependent IL-1 production in vivo. To test whether the NLRP3 inflammasome is involved in the chronic inflammation that underlies atherogenesis in vessel walls, we tested whether the absence of NLRP3, ASC or IL-1 cytokines might modulate atherosclerosis development in LDLR-deficient mice20, a model for familial hypercholesterolemia. We reconstituted lethally irradiated LDLR-deficient mice with bone marrow from wild-type or NLRP3-,ASC- or IL1α/β-deficient mice and subjected these mice to 8 weeks of a high cholesterol diet. In these radiation bone marrow chimeras, the LDLR-deficiency radioresistant parenchyma causes the animals to become hypercholesterolemic when placed on a high fat diet, while their bone-marrow derived macrophages and other leukocytes lack the NLRP3-inflammasome or IL-1 pathway components needed to respond to cholesterol crystals. We found that the different groups of mice had similar levels of elevated blood cholesterol (not shown). However, mice reconstituted with NLRP3-, ASC-, or IL-1α/b-deficient bone marrow showed significantly lower plasma IL-18 levels, an IL-1 family cytokine whose secretion is dependent on inflammasomes and a biomarker known to be elevated in atherosclerosis21 (Fig. 4b). Additionally, and most importantly, mice whose bone marrow-derived cells lacked NLRP3 inflammasome components or IL-1 cytokines were markedly resistant to developing atherosclerosis (Fig. 4c, d). The lesional area in the aortas of these mice was reduced on average by 69% compared to chimeric LDLR-deficient mice that had wild-type bone marrow. These data demonstrate that activation of the NLRP3 inflammasome by bone marrow derived cells is a major contributor to diet-induced atherosclerosis in mice. The molecules that incite inflammation in atherosclerotic lesions have presented a long-standing puzzle. While the lesions are absolutely dependent on cholesterol, this abundant, naturally occurring molecule has been viewed as inert. Here, we show that the crystalline form of cholesterol can induce inflammation. The magnitude of the inflammatory response and the mechanism of NRLP3 activation appear identical to that of crystalline uric acid, silica and asbestos2,3,13. All these crystals are known to provoke clinically important inflammation as seen in gout, silicosis and asbestosis, respectively. The chronic inflammation in gout, silicosis and asbestosis is thought to derive from the inability of cells to destroy the ingested aggregates leading to successive rounds of apoptosis and reingestion of the crystalline material22. In the same way, immune cells cannot degrade cholesterol and depend, instead, on exporting the cholesterol to HDL particles, which carry the cholesterol to the liver for disposal. The success of this or any cellular mechanism in clearing crystals may thus depend on the availability of HDL. Low blood HDL levels are among the most prominent risk factors for atherosclerotic disease23, and pharmacologic means for increasing HDL are being actively pursued as treatments. Even though cholesterol cannot be degraded by peripheral cells it may be transformed to cholesteryl ester by the cellular enzyme, acylcoenzyme A:cholesterol acyltransferase (ACAT). Cholesteryl esters form droplets rather than crystals and are considered a storage form of cholesterol4. On the assumption that reduced cholesterol storage would be beneficial for reducing atherosclerosis, ACAT inhibitors were tested in large clinical trials. Studies with two such inhibitors showed not a decrease but an increase in the size of the coronary atheroma24,25. This apparent paradox may be reconciled by our findings that the crystalline form of cholesterol, which would be expected to be increased after inhibition of ACAT, may be key in driving arterial inflammation. Indeed, murine studies of ACAT-deficiency show enhanced atherogenesis with abundant cholesterol crystals26. Based on our findings, therapeutic strategies that would reduce cholesterol crystals or block the inflammasome pathway would be predicted to have clinical benefit by reducing the initiation or progression of atherosclerosis. In this context our findings also point to novel molecular targets for the development of therapeutics to treat this disease. Methods summary Mice Mice were kindly provided as follows: NLRP3−/− and ASC−/− (Millenium Pharmaceuticals); Caspase-1−/− (R. Flavell, Yale University, New Haven, CT). Cathepsin B−/− (T. Reinheckel, Albert-Ludwigs-University, Freiburg, Germany), Cathepsin L−/− (H. Ploegh, Whitehead Institute, Cambridge, MA), IL-1α−/− IL-1β−/−, IL-1α−/−β−/− (Yoichiro Iwakura, The Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan). B6-129 (mixed background), C57BL/6, IL-1R−/−, ApoE−/− and LDLR−/− mice were purchased from The Jackson Laboratories. Animal experiments were approved by the UMass and Massachusetts General Hospital Animal Care and Use Committees. Cell culture media and reagents Immortalized macrophage cell lines and bone-marrow derived cells were cultured as described3 and primed with 10 ng/ml LPS for 2h prior to addition of inflammasome stimuli. Inhibitors were added 30 min prior to stimuli. Crystals and dAdT were applied 6h, ATP (5 mM) and nigericin (10 µM) 1h before supernatant was collected. Poly(dA:dT) was transfected using Lipofectamine 2000 (Invitrogen). Human PBMCs were freshly isolated by Ficoll-Hypaque gradient centrifugation, grown in RPMI medium (Invitrogen), 10% FBS (Atlas Biologicals) 10µg/ml ciprofloxacin (Celgro) at 2 × 105 cells per 96 well and primed with 50 pg/ml LPS for 2 hours before addition of inflammasome stimuli. Supernatants were assessed for IL-1β by ELISA and western blot. Neutrophil recruitment to peritoneal cavity Mice were intraperitoneally injected with 2 mg of cholesterol crystals in 200 µl PBS or PBS alone. After 15 hours, peritoneal lavage cells were stained with fluorescently conjugated mAbs against Ly-6G (Becton Dickinson, clone 1A8) and 7/4 (Serotec) in the presence of mAb 2.4G2 (FcgRIIB/III receptor blocker). The absolute number of neutrophil (Ly-6G+ 7/4+) was determined by flow cytometry. Methods Reagents Bafilomycin A1, cytochalasin D and zYVAD-fmk were from Calbiochem. ATP, acridine orange and poly(dA:dT) sodium salt were form Sigma-Aldrich and ultra-pure LPS was purchased from Invivogen. Nigericin, Hoechst dye, DQ ovalbumin and fluorescent choleratoxin B were purchased from Invitrogen. MSU crystals were prepared as described17. Cholesterol crystal preparation Tissue-culture grade or synthetic cholesterol was purchased from Sigma, solubilized in hot acetone and crystallized by cooling. After 6 cycles of recrystallizations, the final crystallization was performed in the presence of 10% endotoxin-free water to obtain hydrated cholesterol crystals. Cholesterol crystals were analyzed for purity by electron impact GC/MS and thin layer chromatography using silica gel and hexane-ethyl acetate (80:20) solvent. Crystal size was varied using a microtube tissue grinder. Fluorescent cholesterol was prepared by addition of the DiD or DiI dyes (Invitrogen) in PBS. ELISA and Western Blot ELISA measurements of IL-1β (Becton Dickinson) and IL-18 (MBL International) were made according to the manufacturer’s directions. Experiments for caspase-1 Western blot analysis were performed in serum-free DMEM medium. After stimulations, cells were lysed by the addition of a 10X lysis buffer (10% NP-40 in TBS and protease inhibitors), and post-nuclear lysates were separated on 4–20% reducing SDS-PAGE. Anti murine caspase-1 pAb was kindly provided by P. Vandenabeele (University of Ghent, The Netherlands). Anti-human cleaved IL-1β (Cell Signaling) from human PBMCs was analyzed in serum-free supernatants as above without cell lysis. Confocal microscopy ApoE−/− mice that were maintained in a pathogen-free facility were fed a Western-type diet (Teklad Adjusted Calories 88137; 21% fat (wt/wt), 0.15% cholesterol (wt/wt) and 19.5% casein (wt/wt); no sodium cholate) starting at 8 weeks of age and continued for 2, 4, 8 or 12 weeks (three mice in each group). Mice were euthanized and hearts were collected as described27. Hearts were serially sectioned at the origins of the aortic valve leaflets, and every third section (5 µm) was stained with hematoxylin and eosin and imaged by light microscopy. Adjacent sections were fixed in 4% paraformaldehyde, blocked and permeabilized (10% goat serum / 0.5% saponin in PBS) and stained with fluorescent primary antibodies against macrophages (MoMa-2, Serotec), DCs (CD11c, Becton Dickinson) or neutrophils (anti-Neutrophil, Serotec) for 1 h at 37 °C for imaging by confocal microscopy. Human atherosclerotic lesions were obtained directly after autopsy, serially sectioned at 2- to 3-mm intervals and frozen sections (5 mm) were prepared as above. Parallel sections were stained with Masson’s trichrome stain. Tissues were prepared for microscopy as above. Macrophages were stained with anti-CD68 (Serotec), smooth muscle cells were visualized with fluorescent phalloidin (Invitrogen). Human and mouse samples were counterstained with Hoechst dye to visualize nuclei. The atherosclerotic lesions were imaged on a Leica SP2 AOBS confocal microscope where immunofluoroscence staining was visualized by standard confocal techniques and crystals were visualized utilizing laser reflection using enhanced transmittance of the acousto-optical beam splitter as described3. Of note, laser reflection and fluorescence emission occurs at the same confocal plane in this setup. The mean lesion area, amount of crystal deposition and monocyte marker presence was quantified from three digitally captured sections per mouse (Photoshop CS4 Extended). For the quantification of crystal mass and macrophages present, the sum of positive pixels (laser reflection or fluorescence, respectively) was determined and the area calculated from the pixel size. Confocal microscopy of mouse macrophages was performed as described3. DQ ovalbumin only fluoresces upon proteolytic processing and marks phagolysosomal compartments in macrophages. Acridine orange lysosomal damage assay This assay was performed by flow cytometry as described3. Bone marrow transplantation and atherosclerosis model Eight weeks-old female LDLR−/− mice were lethally irradiated (11 Gy). Bone marrow was prepared from femurs and tibias of C57BL/6, NLRP3−/−, ASC−/− and IL-1α−/−b−/− donor mice and T cells were depleted using complement (Pel-Freez Biologicals) and anti-Thy1 mAB (M5/49.4.1, ATCC). Irradiated recipient mice were reconstituted with 3.5 × 106 bone marrow cells administered into the tail vein. After 4 weeks, mice were fed with a Western-type diet (Teklad Adjusted Calories 88137; 21% fat [wt/wt], 0.15% cholesterol [wt/wt] and 19.5% casein [wt/wt]; no sodium cholate) for 8 weeks. Mice were euthanized and intracardially perfused with formalin. Hearts were embedded in OTC (Richard-Allen Scientific, Kalamazoo, MI) medium, frozen, and serially sectioned through the aorta from the origins of the aortic valve leaflets and every single section (10 µm) throughout the aortic sinus (800 µm) was collected. Quantification of average lesion area was done from 12 stained with hematoxylin eosin or Giemsa per mouse by two independent investigators with virtually identical results. Serum cholesterol levels were determined by enzymatic assay (Wako Diagnostics), and serum IL-18 was measured by SearchLight protein array technology (Aushon Biosystems, Billerica, MA). Statistical analyses The significance of differences between groups was evaluated by one–way analysis of variance (ANOVA) with Dunnett’s post- comparison test for multiple groups to control group, or by Student’s t test for 2 groups. R squared was calculated from the Pearson correlation coefficient. Analyses were done using Prism (GraphPad Software, Inc.). Supplementary Material 1 2 3
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              TCM Database@Taiwan: The World's Largest Traditional Chinese Medicine Database for Drug Screening In Silico

              Rapid advancing computational technologies have greatly speeded up the development of computer-aided drug design (CADD). Recently, pharmaceutical companies have increasingly shifted their attentions toward traditional Chinese medicine (TCM) for novel lead compounds. Despite the growing number of studies on TCM, there is no free 3D small molecular structure database of TCM available for virtual screening or molecular simulation. To address this shortcoming, we have constructed TCM Database@Taiwan (http://tcm.cmu.edu.tw/) based on information collected from Chinese medical texts and scientific publications. TCM Database@Taiwan is currently the world's largest non-commercial TCM database. This web-based database contains more than 20,000 pure compounds isolated from 453 TCM ingredients. Both cdx (2D) and Tripos mol2 (3D) formats of each pure compound in the database are available for download and virtual screening. The TCM database includes both simple and advanced web-based query options that can specify search clauses, such as molecular properties, substructures, TCM ingredients, and TCM classification, based on intended drug actions. The TCM database can be easily accessed by all researchers conducting CADD. Over the last eight years, numerous volunteers have devoted their time to analyze TCM ingredients from Chinese medical texts as well as to construct structure files for each isolated compound. We believe that TCM Database@Taiwan will be a milestone on the path towards modernizing traditional Chinese medicine.
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                Author and article information

                Contributors
                yanzhu.harvard@icloud.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 November 2017
                13 November 2017
                2017
                : 7
                : 15427
                Affiliations
                [1 ]Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese, Tianjin, China
                [2 ]ISNI 0000 0001 0213 9311, GRID grid.443590.f, Research and development center of TCM, Tianjin International Joint Academy of Biomedicine, ; Tianjin, China
                [3 ]ISNI 0000 0004 1799 2712, GRID grid.412635.7, Medical Experiment Center, The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, ; Tianjin, China
                [4 ]ISNI 0000 0000 9878 7032, GRID grid.216938.7, College of Life Sciences, Nankai University, ; Tianjin, China
                [5 ]Massachusetts General Hospital, Harvard Medical School, Boston, USA
                Article
                14692
                10.1038/s41598-017-14692-3
                5684234
                29133791
                718a9008-e790-427a-9720-521d2c29314e
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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                : 9 October 2017
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