Search

Inflammatory bowel disease (IBD) is a non-specific chronic intestinal inflammatory disease, often presenting with abdominal pain, diarrhea, bloody stool, anorexia, and body loss. It is difficult to cure completely and a promising treatment is urgently needed. Natural compounds can offer promising chemical agents for treatment of diseases. Polydatin is a natural ingredient extracted from the dried rhizome of Polygonum cuspidatum, which has anti-inflammatory, anti-tumor, and dementia protection activities. The purpose of this study was to evaluate the therapeutic effect of polydatin on IBD and explore its possible mechanism. We found that polydatin could effectively suppress the differentiation of Th17 cells in vitro, but had no effect on the differentiation of Treg cells. Polydatin significantly alleviated colitis induced by dextran sulfate sodium (DSS) and 2, 4, 6-trinitrobenzenesulfonic acid (TNBS) in mice, and dramatically decreased the proportion of Th17 cells in spleen and mesenteric lymph nodes. Mechanism investigations revealed that polydatin specifically inhibited signal transducer and activator of transcription 3 (STAT3) phosphorylation by directly binding to STAT3, leading to Th17 cell reduction and thereby alleviating colitis. These findings provide novel insights into the anti-colitis effect of polydatin, which may be a promising drug candidate for the treatment of IBD. [ABSTRACT FROM AUTHOR]

Cancer cachexia is a metabolic syndrome that is characterized by progressive loss of skeletal muscle mass, and effective therapeutics have yet to be developed. Saikosaponin D (SSD), a major bioactive component of Radix Bupleuri, exhibits antiinflammatory, anti‐tumor, anti‐oxidant, anti‐viral, and hepatoprotective effects. In this study, we demonstrated that SSD is a promising agent for the treatment of cancer cachexia. SSD could alleviate TCM‐induced myotube atrophy and inhibit the expression of E3 ubiquitin ligases muscle RING‐finger containing protein‐1 (MuRF1) and muscle atrophy Fbox protein (Atrogin‐1/MAFbx) in vitro. Moreover, SSD suppressed the progression of cancer cachexia, with significant improvements in the loss of body weight, gastrocnemius muscle, and tibialis anterior muscle mass in vivo. Mechanism investigations demonstrated that SSD could directly bind to STAT3 and specifically inhibit its phosphorylation as well as its transcriptional activity. Overexpression of STAT3 partially abolished the inhibitory effect of SSD on myotube atrophy, indicating that the therapeutic effect of SSD was attributed to STAT3 inhibition. These findings provide novel strategies for treatment of cancer cachexia by targeting STAT3, and SSD may be a promising drug candidate for cancer cachexia. [ABSTRACT FROM AUTHOR]

Backgrounds: (6aS, 10S, 11aR, 11bR, 11cS)-10-methylaminododecahydro-3a, 7a-diaza-benzo (de) anthracene-8-thione (MASM), a novel derivative of matrine, exhibits better anti-inflammatory activity. This study was designed to evaluate the protective effect of MASM on acute and chronic liver injuries and explore the possible mechanisms. Methods: Acute and chronic liver injury models were established by the CCl4 intraperitoneal injection and the protective effect of MASM was assessed by biochemical and histological examination. The infiltration of different monocyte subsets into the liver was characterized and analyzed by flow cytometry. The in vitro effect of MASM on liver nonparenchymal cells was evaluated by real-time PCR and transwell chemotaxis assays. Results: Administration of MASM markedly attenuated acute liver injury and liver fibrosis induced by CCl4 injection. Meanwhile, the infiltrations of Gr1hi monocytes in injured livers and induced hepatic expression of monocyte chemoattractant protein-1 (MCP-1) were greatly inhibited. Cellular experiments demonstrated that MASM not only decreased the expression of MCP-1 but also inhibited its chemotactic activity. Conclusions: This study demonstrates that the protective effect of MASM on liver injury could be contributed to the suppression of Gr1hi monocyte infiltration to the liver and the inhibition of MCP-1 production and activity. These findings provide new insights into the protective role of MASM in liver injury. [ABSTRACT FROM AUTHOR]

Three new pimarane diterpenes, eutypellenoids A–C (1–3), together with a known compound, eutypenoid C (4), were isolated from the culture extract of Eutypella sp. D-1 derived from the Arctic region. Compounds 1–3 possessed an uncommon tetrahydrofuran-fused pimarane diterpene skeleton. The structures of all compounds were determined by detailed spectroscopic analysis, electronic circular dichroism (ECD) analysis, as well as a comparison with the literature data. Antibacterial, antifungal, and cytotoxic activities of these compounds were evaluated. Compound 2 displayed antibacterial activity against Staphylococcus aureus and Escherichia coli with MIC values of 8 and 8 μg/mL, respectively. Additionally, compound 2 showed antifungal activity against Candida parapsilosis, Candida albicans, Candida glabrata, and Candida tropicalis with MIC values of 8, 8, 16, and 32 μg/mL, respectively. Furthermore, compound 2 exhibited moderate cytotoxic activity against HCT-116 cell line with IC50 value of 3.7 μM. [ABSTRACT FROM AUTHOR]

Three new pimarane diterpenes, eutypellenoids A⁻C ( 1 ⁻ 3 ), together with a known compound, eutypenoid C ( 4 ), were isolated from the culture extract of Eutypella sp. D-1 derived from the Arctic region. Compounds 1 ⁻ 3 possessed an uncommon tetrahydrofuran-fused pimarane diterpene skeleton. The structures of all compounds were determined by detailed spectroscopic analysis, electronic circular dichroism (ECD) analysis, as well as a comparison with the literature data. Antibacterial, antifungal, and cytotoxic activities of these compounds were evaluated. Compound 2 displayed antibacterial activity against Staphylococcus aureus and Escherichia coli with MIC values of 8 and 8 μg/mL, respectively. Additionally, compound 2 showed antifungal activity against Candida parapsilosis , Candida albicans , Candida glabrata , and Candida tropicalis with MIC values of 8, 8, 16, and 32 μg/mL, respectively. Furthermore, compound 2 exhibited moderate cytotoxic activity against HCT-116 cell line with IC 50 value of 3.7 μM., Competing Interests: The authors declare no conflict of interest.

Seven new pimarane-type diterpene derivatives, libertellenones O-S (1-5) and eutypellenones A and B (6 and 7), together with two known compounds (8 and 9), were isolated from the culture of Eutypella sp. D-1 obtained from high-latitude soil of the Arctic. Their structures were elucidated from spectroscopic data, as well as experimental and calculated electronic circular dichroism (ECD) analysis. Structurally, compounds 1-5 possess a cyclopropyl-fused pimarane diterpene moiety, whereas compounds 6 and 7 share an unusual cyclobutyl-fused pimarane diterpene skeleton. Compounds 1-9 exhibited cytotoxicities against HeLa, MCF-7, HCT-116, PANC-1, and SW1990 cells, with IC 50 values in the range of 0.3 to 29.4 μM. Compounds 6 and 7 could dose-dependently inhibit the activity of NF-κB and exhibited significantly inhibitory effects on nitric oxide production induced by lipopolysaccharide.

Tree crown projection area and crown volume are the important parameters for the estimation of biomass, tridimensional green biomass and other forestry science applications. Using conventional measurements of tree crown projection area and crown volume will produce a large area of errors in the view of practical situations referring to complicated tree crown structures or different morphological characteristics. However, it is difficult to measure and validate their accuracy through conventional measurement methods. In view of practical problems which include complicated tree crown structure, different morphological characteristics, so as to implement the objective that tree crown projection and crown volume can be extracted by computer program automatically. This paper proposes an automatic untouched measurement based on terrestrial three-dimensional laser scanner named FARO Photon120 using plane scattered data point convex hull algorithm and slice segmentation and accumulation algorithm to calculate the tree crown projection area. It is exploited on VC+6.0 and Matlab7.0. The experiments are exploited on 22 common tree species of Beijing, China. The results show that the correlation coefficient of the crown projection between Av calculated by new method and conventional method A4 reaches 0.964 (p<0.01); and the correlation coefficient of tree crown volume between V(VC) derived from new method and V(C) by the formula of a regular body is 0.960 (p<0.001). The results also show that the average of V(C) is smaller than that of V(VC) at the rate of 8.03%, and the average of A4 is larger than that of A(V) at the rate of 25.5%. Assumed Av and V(VC) as ture values, the deviations of the new method could be attributed to irregularity of the crowns' silhouettes. Different morphological characteristics of tree crown led to measurement error in forest simple plot survey. Based on the results, the paper proposes that: (1) the use of eight-point or sixteen-point projection with fixed angles to estimate crown projections, and (2) different regular volume formula to simulate crown volume according to the tree crown shapes. Based on the high-resolution 3D LIDAR point cloud data of individual tree, tree crown structure was reconstructed at a high rate of speed with high accuracy, and crown projection and volume of individual tree were extracted by this automatical untouched method, which can provide a reference for tree crown structure studies and be worth to popularize in the field of precision forestry.

In order to establish volume model,living trees have to be fallen and be divided into many sections, which is a kind of destructive experiment. So hundreds of thousands of trees have been fallen down each year in China. To solve this problem, a new method called living tree volume accurate measurement without falling tree was proposed in the present paper. In the method, new measuring methods and calculation ways are used by using photoelectric theodolite and auxiliary artificial measurement. The diameter at breast height and diameter at ground was measured manually, and diameters at other heights were obtained by photoelectric theodolite. Tree volume and height of each tree was calculated by a special software that was programmed by the authors. Zhonglin aspens No. 107 were selected as experiment object, and 400 data records were obtained. Based on these data, a nonlinear intelligent living tree volume prediction model with Particle Swarm Optimization algorithm based on support vector machines (PSO-SVM) was established. Three hundred data records including tree height and diameter at breast height were randomly selected form a total of 400 data records as input data, tree volume as output data, using PSO-SVM tool box of Matlab7.11, thus a tree volume model was obtained. One hundred data records were used to test the volume model. The results show that the complex correlation coefficient (R2) between predicted and measured values is 0. 91, which is 2% higher than the value calculated by classic Spurr binary volume model, and the mean absolute error rates were reduced by 0.44%. Compared with Spurr binary volume model, PSO-SVM model has self-learning and self-adaption ability,moreover, with the characteristics of high prediction accuracy, fast learning speed,and a small sample size requirement, PSO-SVM model with well prospect is worth popularization and application.