A Novel Molecular Model of Plant Lectin-Induced Programmed Cell Death in Cancer.

Plant lectin, a class of highly diverse non-immune origin and carbohydrate-binding proteins, has been reported to specially induce cancer cell through programmed cell death (PCD) pathways (apoptosis and/or autophagy), shedding lights on screening promising anti-cancer candidate agent for further therapeutic trials. However, the complicated molecular mechanisms by which plant lectins induced the programmed death of tumor cells, have not yet been fully clarified. Here, we summarized a novel model, based on vast amount of research, by which plant lectins eliminate various types of cancer cells via three major pathways, including a) direct ribosome inactivating, b) endocytosis-dependent mitochondrial dysfunction and c) sugar-containing receptors binding. A better understanding of the role of plant lectins played and further elucidation of the strategies targeting PCD would provide a new clue for the applications and modifications of plant lectin as a potential anti-cancer agent from bench to clinic.

Identification of Novel Pathways in Plant Lectin-Induced Cancer Cell Apoptosis.

Plant lectins have been investigated to elucidate their complicated mechanisms due to their remarkable anticancer activities. Although plant lectins seems promising as a potential anticancer agent for further preclinical and clinical uses, further research is still urgently needed and should include more focus on molecular mechanisms. Herein, a Naïve Bayesian model was developed to predict the protein-protein interaction (PPI), and thus construct the global human PPI network. Moreover, multiple sources of biological data, such as smallest shared biological process (SSBP), domain-domain interaction (DDI), gene co-expression profiles and cross-species interolog mapping were integrated to build the core apoptotic PPI network. In addition, we further modified it into a plant lectin-induced apoptotic cell death context. Then, we identified 22 apoptotic hub proteins in mesothelioma cells according to their different microarray expressions. Subsequently, we used combinational methods to predict microRNAs (miRNAs) which could negatively regulate the abovementioned hub proteins. Together, we demonstrated the ability of our Naïve Bayesian model-based network for identifying novel plant lectin-treated cancer cell apoptotic pathways. These findings may provide new clues concerning plant lectins as potential apoptotic inducers for cancer drug discovery.

Discovery of Novel Human Epidermal Growth Factor Receptor-2 Inhibitors by Structure-based Virtual Screening.

BACKGROUND: Human epidermal growth factor receptor-2 (HER2) is a trans-membrane receptor like protein, and aberrant signaling of HER2 is implicated in many human cancers, such as ovarian cancer, gastric cancer, and prostate cancer, most notably breast cancer. Moreover, it has been in the spotlight in the recent years as a promising new target for therapy of breast cancer. OBJECTIVE: Since virtual screening has become an integral part of the drug discovery process, it is of great significant to identify novel HER2 inhibitors by structure-based virtual screening. MATERIALS AND METHODS: In this study, we carried out a series of elegant bioinformatics approaches, such as virtual screening and molecular dynamics (MD) simulations to identify HER2 inhibitors from Food and Drug Administration-approved small molecule drug as potential "new use" drugs. RESULTS: Molecular docking identified top 10 potential drugs which showed spectrum affinity to HER2. Moreover, MD simulations suggested that ZINC08214629 (Nonoxynol-9) and ZINC03830276 (Benzonatate) might exert potential inhibitory effects against HER2-targeted anti-breast cancer therapeutics. CONCLUSION: Together, our findings may provide successful application of virtual screening studies in the lead discovery process, and suggest that our discovered small molecules could be effective HER2 inhibitor candidates for further study. SUMMARY: A series of elegant bioinformatics approaches, including virtual screening and molecular dynamics (MD) simulations were took advantage to identify human epidermal growth factor receptor-2 (HER2) inhibitors. Molecular docking recognized top 10 candidate compounds, which showed spectrum affinity to HER2. Further, MD simulations suggested that ZINC08214629 (Nonoxynol-9) and ZINC03830276 (Benzonatate) in candidate compounds were identified as potential "new use" drugs against HER2-targeted anti-breast cancer therapeutics. Abbreviations used: HER2: Human epidermal growth factor receptor-2, FDA: Food and Drug Administration, PDB: Protein Database Bank, RMSDs: Root mean square deviations, SPC: Single point charge, PME: Particle mesh Ewald, NVT: Constant volume, NPT: Constant pressure, RMSF: Root-mean-square fluctuation.

Osteoinduction by Ca-P biomaterials implanted into the muscles of mice.

The osteoinduction of porous biphasic calcium phosphate ceramics (BCP) has been widely reported and documented, but little research has been performed on rodent animals, e.g., mice. In this study, we report osteoinduction in a mouse model. Thirty mice were divided into two groups. BCP materials (Sample A) and control ceramics (Sample B) were implanted into the leg muscle, respectively. Five mice in each group were killed at 15, 30, and 45 d after surgery. Sample A and Sample B were harvested and used for hematoxylin and eosin (HE) staining, immunohistochemistry (IHC) staining, and Alizarin Red S staining to check bone formation in the biomaterials. Histological analysis showed that no bone tissue was formed 15 d after implantation (0/5) in either of the two groups. Newly-formed bone tissues were observed in Sample A at 30 d (5/5) and 45 d (5/5) after implantation; the average amounts of newly-formed bone tissues were approximately 5.2% and 8.6%, respectively. However, we did not see any bone tissue in Sample B until 45 d after implantation. Bone-related molecular makers such as bone morphogenesis protein-2 (BMP-2), collagen type I, and osteopontin were detected by IHC staining in Sample A 30 d after implantation. In addition, the newly-formed bone was also confirmed by Alizarin Red S staining. Because this is the report of osteoinduction in the rodent animal on which all the biotechnologies were available, our results may contribute to further mechanism research.

Osteogenic differentiation of mesenchymal stem cells promoted by overexpression of connective tissue growth factor.

OBJECTIVE: Large segmental bone defect repair remains a clinical and scientific challenge with increasing interest focusing on combining gene transfection with tissue engineering techniques. The aim of this study is to investigate the effect of connective tissue growth factor (CTGF) on the proliferation and osteogenic differentiation of the bone marrow mesenchymal stem cells (MSCs). METHODS: A CTGF-expressing plasmid (pCTGF) was constructed and transfected into MSCs. Then expressions of bone morphogenesis-related genes, proliferation rate, alkaline phosphatase activity, and mineralization were examined to evaluate the osteogenic potential of the CTGF gene-modified MSCs. RESULTS: Overexpression of CTGF was confirmed in pCTGF-MSCs. pCTGF transfection significantly enhanced the proliferation rates of pCTGF-MSCs (P<0.05). CTGF induced a 7.5-fold increase in cell migration over control (P<0.05). pCTGF transfection enhanced the expression of bone matrix proteins, such as bone sialoprotein, osteocalcin, and collagen type I in MSCs. The levels of alkaline phosphatase (ALP) activities of pCTGF-MSCs at the 1st and 2nd weeks were 4.0- and 3.0-fold higher than those of MSCs cultured in OS-medium, significantly higher than those of mock-MSCs and normal control MSCs (P<0.05). Overexpression of CTGF in MSCs enhanced the capability to form mineralized nodules. CONCLUSION: Overexpression of CTGF could improve the osteogenic differentiation ability of MSCs, and the CTGF gene-modified MSCs are potential as novel cell resources of bone tissue engineering.