MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.

According to the expression of miRNA in pathological processes, miRNAs can be divided into oncogenes or tumor suppressors. Prediction of the regulation relations between miRNAs and small molecules (SMs) becomes a vital goal for miRNA-target therapy. But traditional biological approaches are laborious and expensive. Thus, there is an urgent need to develop a computational model. In this study, we proposed a computational model to predict whether the regulatory relationship between miRNAs and SMs is up-regulated or down-regulated. Specifically, we first use the Large-scale Information Network Embedding (LINE) algorithm to construct the node features from the self-similarity networks, then use the General Attributed Multiplex Heterogeneous Network Embedding (GATNE) algorithm to extract the topological information from the attribute network, and finally utilize the Light Gradient Boosting Machine (LightGBM) algorithm to predict the regulatory relationship between miRNAs and SMs. In the fivefold cross-validation experiment, the average accuracies of the proposed model on the SM2miR dataset reached 79.59% and 80.37% for up-regulation pairs and down-regulation pairs, respectively. In addition, we compared our model with another published model. Moreover, in the case study for 5-FU, 7 of 10 candidate miRNAs are confirmed by related literature. Therefore, we believe that our model can promote the research of miRNA-targeted therapy.

BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path.

More and more evidence suggests that circRNA plays a vital role in generating and treating diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA-miRNA interaction (CMI) has become urgent. However, traditional wet experiments are time-consuming and costly, and the results will be affected by objective factors. In this paper, we propose a computational model BCMCMI, which combines three features to predict CMI. Specifically, BCMCMI utilizes the bidirectional encoding capability of the BERT algorithm to extract sequence features from the semantic information of circRNA and miRNA. Then, a heterogeneous network is constructed based on cosine similarity and known CMI information. The Metapath2vec is employed to conduct random walks following meta-paths in the network to capture topological features, including similarity features. Finally, potential CMIs are predicted using the XGBoost classifier. BCMCMI achieves superior results compared to other state-of-the-art models on two benchmark datasets for CMI prediction. We also utilize t-SNE to visually observe the distribution of the extracted features on a randomly selected dataset. The remarkable prediction results show that BCMCMI can serve as a valuable complement to the wet experiment process.

A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.

MOTIVATION: A large number of studies have shown that circular RNA (circRNA) affects biological processes by competitively binding miRNA, providing a new perspective for the diagnosis, and treatment of human diseases. Therefore, exploring the potential circRNA-miRNA interactions (CMIs) is an important and urgent task at present. Although some computational methods have been tried, their performance is limited by the incompleteness of feature extraction in sparse networks and the low computational efficiency of lengthy data. RESULTS: In this paper, we proposed JSNDCMI, which combines the multi-structure feature extraction framework and Denoising Autoencoder (DAE) to meet the challenge of CMI prediction in sparse networks. In detail, JSNDCMI integrates functional similarity and local topological structure similarity in the CMI network through the multi-structure feature extraction framework, then forces the neural network to learn the robust representation of features through DAE and finally uses the Gradient Boosting Decision Tree classifier to predict the potential CMIs. JSNDCMI produces the best performance in the 5-fold cross-validation of all data sets. In the case study, seven of the top 10 CMIs with the highest score were verified in PubMed. AVAILABILITY: The data and source code can be found at https://github.com/1axin/JSNDCMI.

LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model.

LncRNA-protein interaction plays an important role in the development and treatment of many human diseases. As the experimental approaches to determine lncRNA-protein interactions are expensive and time-consuming, considering that there are few calculation methods, therefore, it is urgent to develop efficient and accurate methods to predict lncRNA-protein interactions. In this work, a model for heterogeneous network embedding based on meta-path, namely LPIH2V, is proposed. The heterogeneous network is composed of lncRNA similarity networks, protein similarity networks, and known lncRNA-protein interaction networks. The behavioral features are extracted in a heterogeneous network using the HIN2Vec method of network embedding. The results showed that LPIH2V obtains an AUC of 0.97 and ACC of 0.95 in the 5-fold cross-validation test. The model successfully showed superiority and good generalization ability. Compared to other models, LPIH2V not only extracts attribute characteristics by similarity, but also acquires behavior properties by meta-path wandering in heterogeneous networks. LPIH2V would be beneficial in forecasting interactions between lncRNA and protein.

[Research progress on the role of FOXOs family in cancer].

The Forkhead box class O proteins (FOXOs) family consists of highly conserved transcription factors, including FOXO1, FOXO3, FOXO4 and FOXO6. Each member of the FOXOs family is ubiquitously expressed and involved in regulating many biological activities such as tumor cell proliferation, apoptosis, migration and oxidative stress. The activity of FOXOs is mainly regulated by post-translational modification, and its inactivation is mainly mediated by the over-activation of its upstream modifying enzymes, which provides a possibility to use drugs to recover its activity. It is worth noting that FOXOs can not only inhibit, but also promote the occurrence and development of human tumors due to the complex effects of FOXOs. This review will summarize the structure and activity regulation of FOXOs, and discuss their tumor inhibiting effects by limiting cell proliferation and inducing apoptosis, as well as their tumor promoting effects by maintaining cell homeostasis, promoting metastasis and inducing drug resistance, so as to provide new ideas for the pathological research of related diseases and open up new ways to promote broader prevention and treatment strategies.

Lelliottia steviae sp. nov. isolated from Stevia rebaudiana Bertoni.

A Gram-negative, aerobic, chemoheterotrophic, rod-shaped, and motile bacterium, designated as LST-1T, was isolated from wild Stevia rebaudiana Bertoni and subjected to a polyphasic taxonomic analysis. The LST-1 strain grew optimally at 37 °C and pH 6.0-7.0 in the presence of 0.5% (w/v) NaCl. Phylogenetic analysis based on the 16S rDNA sequence indicated that LST-1 is closely related to Lelliottia jeotgali PFL01T (99.85%), Lelliottia nimipressuralis LMG10245T (98.82%), and Lelliottia amnigena LMG2784T (98.54%). Multi-locus sequence typing of concatenated partial atpD, infB, gyrB, and rpoB genes was performed to improve the resolution, and clear distinctions between the closest related type strains were observed. The results of average nucleotide identify analyses and DNA-DNA hybridization with four species (16S rDNA similarity > 98.65%) were less than 90 and 40%, respectively, verifying the distinct characteristics from other species of Lelliottia. The cellular fatty acid profile of the strain consisted of C16:0, Summed Feature3, and Summed Feature8 (possibly 16:1 w6c/16:1 w7c and 18:1 w6c) as major components. The major polar lipids included phosphatidylethanolamine, phosphatidylglycerol, an aminophospholipid, three non-characteristic phospholipids, and a non-characteristic lipid. The genome of LST-1T was 4,611,055 bp in size, with a G + C content of 55.02%. The unique combination of several phenotypic, chemotaxonomic, and genomic characteristics proved that strain LST-1T belongs to a novel species, for which the name Lelliottia steviae sp. nov. is proposed. The type strain is LST-1T (= CGMCC 1.19175T = JCM 34938T).Repositories: The genbank accession numbers for the 16S rRNA gene and genome sequences of strain LST-1T are MZ497264 and CP063663, respectively.

[Pharmacokinetic characteristics of psoralen,isopsoralen,psoralenoside and isopsoralenoside in rats after oral administration of Psoraleae Fructus extract].

Coumarins are the main active components in Psoraleae Fructus. To study the multi-component pharmacokinetics of Psoraleae Fructus, this study established a sensitive and rapid ultra-pressure liquid chromatography coupled to tandem mass spectrometry(UPLC-MS/MS) method for simultaneous determination of psoralen, isopsoralen, psoralenoside, and isopsoralenoside in rat plasma. After validation, the method was applied to the investigation of pharmacokinetics of psoralen, isopsoralen, psoralenoside, and isopso-ralenoside in rats after single and multiple administration of Psoraleae Fructus extract. The results revealed that the exposure of psoralen and isopsoralen in rat plasma was high after a single intragastric administration of Psoraleae Fructus extract, with an AUC_(0-∞) of 443 619-582 680 and 167 314-276 903 ng·mL~(-1)·h~(-1), respectively. Compared with these two compounds, the exposure of psoralenoside and isopsoralenoside was lower with marked gender difference. After 7-day administration of Psoraleae Fructus extract to rats, the AUC_(0-∞) of psoralen and isopsoralen was 29 701-81 783 and 39 234-89 914 ng·mL~(-1)·h~(-1), respectively, which was significantly lower than that at the first day(P<0.05), and that of psoralenoside and isopsoralenoside was 7 360-19 342 and 8 823-45 501 ng·mL~(-1)·h~(-1), respectively. There was no significant gender difference in exposure of psoralenoside and isopsoralenoside in male and female rats. However, the exposure of psoralenoside and isopsoralenoside in male rats was reduced(P<0.05), and the t_(1/2) and mean residence time(MRT) were shortened, suggesting that the removal of these two compounds from the body was accelerated.

Bioactivity-guided discovery of quality control markers in rhizomes of Curcuma wenyujin based on spectrum-effect relationship against human lung cancer cells.

BACKGROUND: Due to the diversity of the ingredients, the complexity of the mechanism of action, the uncertainty of the effective ingredients, coupled with the multiple species and multiple growing areas, the quality control (QC) of Traditional Chinese Medicines (TCMs) is challenging. Discovering and identifying effective compounds from the complex extracts of TCMs and then establishing a scientific QC method is the key to the holistic QC of TCMs. PURPOSE: To develop an anti-lung-cancer-guided spectrum-effect relationship approach for the discovery of QC markers of the rhizome of Curcuma wenyujin (WEZ) and establish a bioactive compounds-based holistic QC method. METHODS: The chemical profiling of the volatile oil (WVO) from 42 batches of WEZ collected from different growing areas was performed by GC-MS. The anti-lung cancer activity of different WVO samples was determined by CCK-8 assay against human lung cancer cells (A549). The apoptosis and cell cycle analysis under different concentrations of WVO were detected by flow cytometry. SIMCA-P software was used to perform multivariate statistical analysis on the chemical composition of different WVO samples and to find the different components. Active compounds were screened using a PLSR model of the spectrum-effect relationship. Bioactive compounds-based fingerprint and quantification of the leading bioactive compounds were developed by GC-MS and GC-FID, respectively. RESULTS: Seventy-eight compounds were detected in WVO and 54 were successfully identified. The multivariate statistical analysis uncovered that WVO components and the anti-A549 activity of WVO at the concentration of 60 nl/ml differ greatly according to the origin of the plant. The WVO at the concentration of 60 nl/ml (IC50) increased A549 cells apoptosis significantly with late and early apoptosis of 15.61% and 7.80%, and the number of cells in the G2/M phase were also increased significantly under this concentration. The spectrum-effect relationship analysis revealed that 44 compounds were positively correlated with their activities, and the result was verified by A549 cell viability assay. Sixteen positively correlated compounds were further selected as QC markers according to their relative amount > 0.5% and anticancer activity. Finally, the 16 QC markers-based GC-MS fingerprint was established to holistically control the quality of WEZ, and a GC-FID method was developed for the quantification of leading bioactive compounds, ß-elemene and ß-caryophyllene. CONCLUSION: Based on an anti-lung-cancer-guided spectrum-effect relationship approach, the bioactive compounds-based holistic QC method was successfully developed for WEZ, which could provide a valuable reference for the QC of TCMs.

[Rapid and simultaneous determination of 10 active components of Psoraleae Fructus in beagle dog plasma using UPLC-MS/MS and its application in pharmacokinetic study].

An UPLC-MS/MS method for rapid and simultaneous determination of psoralen, isopsoralen, apigenin, genistein, bavaisoflavone, neobavaisoflavone, bavachin, bavachinin, psoralenoside, and isopsoralenoside of Psoraleae Fructus in beagle dog plasma was established, and then the method was applied in the pharmacokinetic study after oral administration of Psoraleae Fructus extract to beagle dogs. The pharmacokinetic parameters were calculated by the software of WinNonlin. A Waters HSS-T3 column(2.1 mm×100 mm,1.8 µm)was used for liquid chromatography separation with acetonitrile-water(containing 0.004% formic acid) as the mobile phase for gradient elution.The mass spectrometry was detected using electrospray ion source(ESI) under multi-reaction monitoring mode(MRM), as well as positive ion mode. Analysis time only takes 8.5 min. The methodological study in terms of specificity, accuracy, precision, linear range, recovery, matrix effect, and stability, was validated. The LC-MS analysis method established in this experiment was simple, specific, accurate, reliable, and meet the requirement of pharmacokinetic study in plasma after administration of Psoraleae Fructus extract to beagle dogs. Six beagle dogs received intragastric administration of Psoraleae Fructus extract, T_(max) of 10 chemical components is 1.92-5.67 h; among them, C_(max) of psoralen, isopsoralen, psoralenoside and isopsoralenoside is 383-3 613 ng·mL~(-1), and AUC_(0-∞) is 3 556-18 949 ng·h·mL~(-1), t_(1/2) is 2.45-4.83 h. C_(max) of the remaining six compounds is 0.81-19.9 ng·mL~(-1), AUC_(0-∞ )is 6.54-178 ng·h·mL~(-1), t_(1/2) is 2.95-7.29 h. The UPLC-MS/MS analysis method established in this study was proved to be accurate and sensitive that it can be applied to the pharmacokinetic study of beagle dogs after oral administration of Psoraleae Fructus extract.

A combination index and glycoproteomics-based approach revealed synergistic anticancer effects of curcuminoids of turmeric against prostate cancer PC3 cells.

ETHNOPHARMACOLOGICAL RELEVANCE: Herbal medicines (HMs) often exert integration effects, including synergistic, additive and antagonistic effects, in such ways that they act on multiple targets and multiple pathways on account of their multiple components. Turmeric, made from the rhizome of Curcuma longa L., is a well-known HM prescribed in the polyherbal formulas for cancer treatment in traditional Chinese medicines (TCMs). However, neither the multiple anticancer compounds of turmeric nor the integration effects of these components are fully known. AIM OF THE STUDY: This work aims to develop a systematic approach to reveal the integration effect mechanisms of multiple anticancer compounds in turmeric against prostate cancer PC3 cells. MATERIALS AND METHODS: Combination index and omics technologies were applied to profile the integration effect mechanisms of bioactive compounds in proportions naturally found in turmeric. PC3 cell line (a prostate cancer cell line) fishing and high resolution mass spectrometry were employed to screen and identify the anticancer compounds from turmeric. The combinations which contain different cell-bound compounds in natural proportions were prepared for further evaluation of anti-cancer activity by using cell viability assays, and assessment of cell apoptosis and cell cycle analysis. Combination index analysis was applied to study the integration effects of the anticancer compounds in their natural proportions. Finally, quantitative glycoproteomics/proteomics and Western blot were implemented to reveal the potential synergistic effect mechanisms of the anticancer compounds based on their natural proportions in turmeric. RESULTS: Three curcuminoids (curcumin, CUR; demethoxycurcumin, DMC; bisdemethoxycurcumin, BDMC) in turmeric were discovered and shown to possess significant synergistic anticancer activities. Combination index analysis revealed an additive effect of CUR combined with DMC or BDMC and a slight synergistic effect of DMC combined with BDMC in natural proportions in turmeric, while a combination of all three curcuminoids (CUR, DMC and BDMC) at a ratio of 1:1:1 yielded superior synergistic effects. Interestingly, the presence of BDMC and DMC are essential for synergistic effect. Glycoproteomics and proteomics demonstrated that different curcuminoids regulate various protein pathways, such as ribosome, glycolysis/gluconeogenesis, biosynthesis of amino acids, and combination of CUR + DMC + BDMC showed the most powerful effects on down-regulation of protein expression. CONCLUSIONS: Our analytical approach provides a systematic understanding of the holistic activity and integration effects of the anti-cancer compounds in turmeric and three curcuminoids of turmeric showed a synergistic effect on PC3 cells.

Discovery and validation of peptide biomarkers for discrimination of Dendrobium species by label-free proteomics and chemometrics.

The stems of Dendrobium officinale, a well-known and expensive food material and herbal medicine in Asia, has recently suffered adulterants and counterfeits by using lower-price confusing Dendrobium species such as D. devonianum or D. transparens in the herbal market. However, robust methods that could authenticate D. officinale from its confusing species effectively are still lacking, especially for the dried samples. This study committed to discover specific peptides biomarkers for the authentication of D. officinale from the other two Dendrobium species using label-free proteomics by nanoLC LTQ Orbitrap mass spectrometry. Multivariate statistical analysis was applied to visualize the difference between the three Dendrobium species. As a result, 29 peptides among a total of 343 measurable peptides were selected to be potential biomarkers for the classification of these Dendrobium species. The validation of the representative peptide biomarkers was carried out by the synthesized peptides and 3 peptide biomarkers were found significant for the authentication of D. officinale. Further analysis showed that peptide ALGLELDLSER may also be a biomarker for the discrimination of the D. officinale originated from different geographical regions.

Contrastive study for coadsorption of copper and two dihydroxybenzene isomers by a multi-amine modified resin.

Coadsorption of Cu(II) and two dihydroxybenzene isomers (hydroquinone, HQ and catechol, CAT) onto a multi-amine modified resin (CEAD) were comparatively studied. The presence of Cu(II) promoted adsorption of both HQ and CAT by a maximum of 25.8% and 41.6%, respectively. However, two diphenols exerted a very different influence on Cu(II) uptake. Higher concentrations of HQ consistently suppressed Cu(II) adsorption while the coexistence of CAT facilitated it, especially at lower CAT concentrations. The interactions among solutes and adsorbents were revealed by means of kinetic tracking, sequential adsorption experiments, and characterizations/calculations (FTIR, XPS, MINTEQ and DFT). Cu(II) and HQ/CAT competed for amine sites with the order of adsorption affinity as HQ > Cu(II) > CAT. The bridging effect of Cu(II) forming ternary complexes (amine-Cu-CAT/HQ) on the resin phase was the dominant mechanism for the enhanced adsorption of diphenols. The [Cu-CAT] complex species showed a lower affinity to bind directly to amine sites compared with free Cu2+. Instead, the complex could be attracted by the polyphenyl matrix of CEAD, contributing to the increase of Cu(II) adsorption. Additionally, Cu(II) and diphenols were successively recovered, and CEAD could be stably reused. The findings will guide adsorbent applications and the environmental fate of concurrent heavy metals and phenolic compounds.

Multifold enhanced synergistic removal of nickel and phosphate by a (N,Fe)-dual-functional bio-sorbent: Mechanism and application.

A novel (N,Fe)-dual-functional biosorbent (N/Fe-DB) capable of efficient synergistic removal of Ni(II) and H2PO4- from aqueous solution was synthesized. The adsorption capacities of Ni(II) and H2PO4- were both remarkably enhanced over 3 times compared with those in single systems. Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy confirmed that complexation of amino groups and ligand exchange of hydrous ferric oxide in N/Fe-DB played dominant roles. The electric double layer compressing and chelating ligand of deprotonated H2PO4- accounted for the enhanced removal of Ni(II) in binary system, while cation bridge interaction promoted uptake of H2PO4-. Furthermore, the coadsorbates were sequentially recovered, with the ratios of more than 99.0%. Besides, the recovered N/Fe-DB remained stable and applicable to the treatment of real electroplating wastewater even after six adsorption-regeneration cycles. Since the electroplating industry is springing up, effective control of heavy metals and phosphate has attracted global concerns. Based on the enhanced coremoval properties and superb regenerability, N/Fe-DB is potentially applicable to practical production.

Herbal compound Teng-Long-Bu-Zhong-Tang inhibits metastasis in human RKO colon carcinoma.

Metastasis is one of the primary obstacles to the successful treatment of colorectal cancer. Teng-Long-Bu-Zhong-Tang (TLBZT) is a modern Chinese herbal formula that may be useful in the treatment of metastatic colorectal cancer. The present study evaluated the effects of TLBZT on lung metastasis in human RKO colon carcinoma cells injected into mice via the tail vein. The results demonstrated that TLBZT inhibited the metastasis of human RKO colon carcinoma cells to the lungs. TLBZT downregulated the expression of LOX and hypoxia-inducible factor 1α. TLBZT also inhibited the expression of integrins αV and ß3 and the phosphorylation of focal adhesion kinase. These results indicate that TLBZT inhibits the lung metastasis of RKO colon carcinoma by regulating the expression of multiple genes. The results of the present study provide a new basis for the management of colorectal cancer metastasis using treatments derived from Chinese herbs.

Ligustrum lucidum Ait. fruit extract induces apoptosis and cell senescence in human hepatocellular carcinoma cells through upregulation of p21.

Nü-zhen-zi, the fruit of Ligustrum lucidum Ait., is one of the most frequently used liver Yin tonifying Chinese herbs for the treatment of liver cancer. However, the effect of Ligustrum lucidum fruit on hepatocarcinoma cells remains unknown. In the present study, we evaluated the effects of a Ligustrum lucidum fruit extract (LLFE) on human hepatocellular carcinoma Bel-7402 cells. The results showed that LLFE inhibited the proliferation of the Bel-7402 cells in a dose- and time-dependent manner. LLFE induced apoptosis in Bel-7402 cells accompanied by activation of caspase-3, -8 and -9. LLFE-induced apoptosis was completely abrogated by a pan caspase inhibitor, Z-VAD-FMK. LLFE treatment also caused a large and flat morphologic cellular change, positive SA-ß-gal staining, and G0/G1 phase cell cycle arrest in the Bel-7402 cells, accompanied by upregulation of p21 and downregulation of RB phosphorylation. Specific knockdown of p21 expression by RNA interference partially abrogated LLFE-induced apoptosis, and significantly abrogated LLFE-induced cell senescence. These observations suggest that Nü-zhen-zi is a potential anticancer herb and support the traditional use of Nü-zhen-zi for hepatocarcinoma treatment.

Highly efficient co-removal of copper (II) and phthalic acid with self-synthesized polyamine resin.

A novel method was proposed for efficient co-removal of Cu (II) and phthalic acid (PA) using self-synthesized polyamine resin (R-NH(2)). The adsorption properties of R-NH(2) were thoroughly investigated by equilibrium, kinetic and dynamic tests in sole and binary systems at pH 5.0. The Freundlich model was a good fit for all the isotherm data, showing higher Kf values in the binary system than the sole system. The pseudo-second-order kinetic equation showed a better correlation to the experimental data in all cases and PA uptake was much faster than that of Cu (II). R-NH(2) showed highest adsorption capacities to both Cu (II) and PA among the five tested resins. Moreover, the presence of PA markedly enhanced the adsorption of Cu (II), being around 3.5 times of that of the sole system. The adsorption of PA was also slightly increased when Cu (II) was coexistent. Furthermore, using Fourier transform infrared spectrometry (FTIR) and species calculations, possible mechanisms were proposed that Cu (II) coordinated with -NH(2) and negative PA species interacted with -NH(3)(+) by electrostatic attraction. [Cu-PA] complex in the binary system possessed a much higher affinity than free Cu (II) to chelating with -NH(2), resulting in mutual enhancement.

Teng-Long-Bu-Zhong-Tang, a Chinese herbal formula, enhances anticancer effects of 5--Fluorouracil in CT26 colon carcinoma.

BACKGROUND: Colorectal cancer remains one of the leading causes of cancer death worldwide. Traditional Chinese Medicine (TCM) has played a positive role in colorectal cancer treatment. There is a great need to establish effective herbal formula for colorectal cancer treatment. Based on TCM principles and clinical practices, we have established an eight herbs composed formula for colorectal cancer treatment, which is Teng-Long-Bu-Zhong-Tang (TLBZT). We have demonstrated the anticancer effects of TLBZT against colorectal carcinoma in vitro. In present study, we evaluated the anticancer potential of TLBZT, used alone or in combination with low dose of 5-Fluorouracil (5-Fu), in CT26 colon carcinoma in vivo. METHODS: CT26 colon carcinoma was established in BALB/c mice and treated with TLBZT, 5-Fu, or TLBZT plus 5-Fu. The tumor volumes were observed. Apoptosis was detected by TUNEL assay. Caspases activities were detected by colorimetric assay. Cell senescence was indentified by senescence ß-galactosidase staining. Gene expression and angiogenesis was observed by immunohistochemistry or western blot. RESULTS: TLBZT significantly inhibited CT26 colon carcinoma growth. TLBZT elicited apoptosis in CT26 colon carcinoma, accompanied by Caspase-3, 8, and 9 activation and PARP cleavage, and downregulation of XIAP and Survivin. TLBZT also induced cell senescence in CT26 colon carcinoma, with concomitant upregulation of p16 and p21 and downregulation of RB phosphorylation. In addition, angiogenesis and VEGF expression in CT26 colon carcinoma was significantly inhibited by TLBZT treatment. Furthermore, TLBZT significantly enhanced anticancer effects of 5-Fu in CT26 colon carcinoma. CONCLUSIONS: TLBZT exhibited significantly anticancer effect, and enhanced the effects of 5-Fu in CT26 colon carcinoma, which may correlate with induction of apoptosis and cell senescence, and angiogenesis inhibition. The present study provides new insight into TCM approaches for colon cancer treatment that are worth of further study.

Synergistic anticancer effects of curcumin and resveratrol in Hepa1-6 hepatocellular carcinoma cells.

Hepatocellular carcinoma remains one of the most prevalent malignancies worldwide. Curcuma aromatica and Polygonum cuspidatum are one of the commonly used paired-herbs for liver cancer treatment. Curcumin and resveratrol are the major anticancer constituents of Curcuma aromatica and Polygonum cuspidatum, respectively. Curcumin and resveratrol have been found to exhibit a synergistic anticancer effect in colon cancer. However, the combined effect of curcumin and resveratrol against hepatocellular carcinoma remains unknown. In the present study, we evaluated the combined effects of curcumin and resveratrol in hepatocellular carcinoma Hepa1-6 cells. The results showed that curcumin and resveratrol significantly inhibited the proliferation of Hepa1-6 cells in a dose- and time-dependent manner. The combination treatment of curcumin and resveratrol elicited a synergistic antiproliferative effect in Hepa1-6 cells. The apoptosis of Hepa1-6 cells induced by the combination treatment with curcumin and resveratrol was accompanied by caspase-3, -8 and -9 activation, which was completely abrogated by a pan caspase inhibitor, Z-VAD-FMK. Combination of curcumin and resveratrol upregulated intracellular reactive oxygen species (ROS) levels in Hepa1-6 cells. The ROS scavenger, NAC, partially attenuated the apoptosis and caspase activation induced by the combination treatment of curcumin and resveratrol. In addition, the combination of curcumin and resveratrol downregulated XIAP and survivin expression. These data suggest that the combination treatment of curcumin and resveratrol is a promising novel anticancer strategy for liver cancer. The present study also provides new insights into the effective mechanism of paired-herbs in traditional Chinese medicine.

[Effect of Solanum nigrum on human colon carcinoma RKO cells ].

OBJECTIVE: To evaluate the effect of Solanum nigrum on adhesion, migration and invasion in human colon carcinoma RKO cells. METHODS: RKO cells were treated with different dose of Solanum nigrum. Cell proliferation was detected by CCK-8 assay. Cell adhesion was observed with CytoSelect 48-Well Cell Adhesion Assay. Cell migration was detected with scratch assay. Cell invasion was analyzed by CytoSelect 24-Well Cell Invasion Assay. RESULTS: At final concentration of 400-1600 microg/mL, Solanum nigrum significantly inhibited proliferation of RKO cells in a dose-dependent manner. At final concentration of 100-400 microg/mL, Solanum nigrum significantly inhibited adhesion,migration and invasion in RKO cells. CONCLUSION: Solanum nigrum may inhibit the proliferation, adhesion, migration and invasive abilities in RKO cells. The present study provides new insight into the application of Solanum nigrum for colon carcinoma treatment that are worthy of further study.