Identification of Differential Compositions of Aqueous Extracts of Cinnamomi Ramulus and Cinnamomi Cortex.

Cinnamomi ramulus (CR) and Cinnamomi cortex (CC), both sourced from Cinnamomum cassia Presl, are commonly used Chinese medicines in the Chinese Pharmacopeia. However, while CR functions to dissipate cold and to resolve external problems of the body, CC functions to warm the internal organs. To clarify the material basis of these different functions and clinical effects, a simple and reliable UPLC-Orbitrap-Exploris-120-MS/MS method combined with multivariate statistical analyses was established in this study with the aim of exploring the difference in chemical compositions of aqueous extracts of CR and CC. As the results indicated, a total of 58 compounds was identified, including nine flavonoids, 23 phenylpropanoids and phenolic acids, two coumarins, four lignans, four terpenoids, 11 organic acids and five other components. Of these compounds, 26 significant differential compounds were identified statistically including six unique components in CR and four unique components in CC. Additionally, a robust HPLC method combined with hierarchical clustering analysis (HCA) was developed to simultaneously determine the concentrations and differentiating capacities of five major active ingredients in CR and CC: coumarin, cinnamyl alcohol, cinnamic acid, 2-methoxycinnamic acid and cinnamaldehyde. The HCA results showed that these five components could be used as markers for successfully distinguishing CR and CC. Finally, molecular docking analyses were conducted to obtain the affinities between each of the abovementioned 26 differential components, focusing on targets involved in diabetes peripheral neuropathy (DPN). The results indicated that the special and high-concentration components in CR showed high docking scores of affinities with targets such as HbA1c and proteins in the AMPK-PGC1-SIRT3 signaling pathway, suggesting that CR has greater potential than CC for treating DPN.

[Research Progress on Spatial Differentiation and Influencing Factors of Soil Heavy Metals Based on Geographical Detector].

The geographical detector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it. It can not only reveal the influence of a single factor on dependent variables but also evaluate the influence of two-factor interactions and does not need to consider linearity, while also avoiding the influence of multivariate collinearity. Without strong model assumptions, it solves the limitations of traditional methods in analyzing category variables. The research on the spatial differentiation of heavy metals in soil is increasingly widely used. This study collected 40 research reports on the spatial differentiation of soil heavy metals via geographical detector, combed the discrete methods of independent variables, research scale, dependent variables and types of independent variables, factor detection, exchange detection, risk detection, and ecological detection and put forward the problems that need to be clarified in the future application of this research. It is expected to provide support for the deep application of geo-detector in the field of spatial differentiation of soil heavy metals.

[Spatial Differentiation and Influencing Factor Analysis of Soil Heavy Metal Content at Town Level Based on Geographic Detector].

Geographic detectors can quickly detect spatial stratified heterogeneity and quantitatively reveal the intensity of driving factors of heavy metal content, which is of great significance for the prevention, control, and remediation of soil heavy metal pollution. In order to reveal the spatial differentiation and influencing factors of soil heavy metal content on the town-scale, 788 topsoil samples were collected from a town in the hinterland of Chengdu Plain. Soil heavy metal (Cd, Hg, As, Cu, Pb, Cr, Zn, and Ni) pollution risk assessments were carried out by using the geo-accumulation index method. Additionally, based on the geographic detector model, 15 factors such as soil properties, topography, soil forming factors, and distance were taken as independent variables, and the contents of each heavy metal element were taken as dependent variables to explore the spatial differentiation and influencing factors of heavy metal content in soils. The results showed that:the average contents of Hg, As, Pb, Cr, Cu, Ni, and Zn in the study area were 1.06-1.93 times the background value of Chengdu, and the content of Cd was lower than the background value; among them, Hg reached the light pollution level, and the other seven heavy metals were at the non-pollution level. The spatial distribution of eight heavy metals was significantly different, the correlation among the elements was significant, and a significant correlation was found between most heavy meals with soil properties; however, the correlation with distance factor and topographic factor was relatively weak. The factor detection showed that TP, TK, pH, TOC, elevation, and distance from the railway had the most significant explanatory power for the heavy metal contents. Interaction detection showed that the interaction between soil properties and other factors was the dominant factor for the spatial variation in heavy metals, and elevation, distance from residential area, distance from railways, and distance from industrial areas were also important factors. Risk detection showed that Hg had the most significant difference in the subregion of elevation and distance from railway, whereas the other seven heavy metals had the most significant difference in the sub-regions of influencing factors of soil properties. The spatial distribution of heavy metals varied significantly in soil at the town-scale, which was closely related to soil properties, topography, and human activities in the study area.

[Expression of Raf kinase inhibitor protein and its significance in invasion and metastasis of hepatocellular carcinoma].

OBJECTIVE: To investigate the expression of RKIP, p65 and pERK in hepatocellular carcinoma (HCC) and theIr correlation with invasion and metastasis of HCC. METHODS: Reverse transcription polymerase chain reaction (RT-PCR) was used to detect the expression of RKIP mRNA. The expression levels of RKIP, p65 and pERK proteins in HCC tumor and peritumoral tissues were determined by immunohistochemistry and Western blot analysis. Statistical analysis was performed to determine the relationship between their expression and clinicopathological parameters. RESULTS: RKIP protein expression level (RKIP/actin) was 0.579 ± 0.380 in HCCs, 1.178 ± 0.659 in peritumoral tissues and 1.115 ± 0.442 in normal liver tissues. The pERK protein level was 1.023 ± 0.478, 0.605 ± 0.367 and 0.461 ± 0.293, p65 protein level was 0.83 ± 0.376, 0.63 ± 0.337 and 0.466 ± 0.345, respectively. Immunohistochemistry analysis showed that the RKIP positive rates in HCCs, peritumoral tissues and normal liver tissues, were 22.2%, 86.0%, and 93.8%, positive rates of p65 were 73.6%, 56.0% and 37.5%, positive rates of pERK were 65.3%, 38.0% and 31.3%, respectively. Statistical analysis revealed that there was a significant difference in RKIP protein expression levels (P < 0.05), but no significant difference in RKIP mRNA expression levels (P > 0.05) among HCC tumors, peritumoral tissues and normal liver tissues. The p65-positive and pERK-positive rates were higher in tumor tissues than that in peritumoral tissues and in normal liver tissues (P < 0.05), but RKIP-positive rates were lower in tumor tissues than that in paritumoral tissues and normal liver tissues (P < 0.05). RKIP protein expression levels were significantly lower in HCCs with intrahepatic or lymphatic metastasis than that in without. The RKIP positive rates in moderately and well differentiated HCCs were significantly higher than that in poorly differentiated HCCs. There was a relationship between RKIP and pERK expressions (P = 0.04), but RKIP expression was not correlated with p65 expression in HCCs (P = 0.143). CONCLUSIONS: Our findings indicate that the down-regulation of RKIP expression may serve as a predictive marker for HCC development, progression and metastasis, which may contribute to the elevated ERK activity. The inhibiting effect of RKIP on invasion and metastasis of liver cancer cells may be due to the down-regulation of pERK expression rather than p65 expression.

Expression of vascular endothelial growth factors A and C in human pancreatic cancer.

AIM: To study the expression of vascular endothelial growth factor A (VEGF-A) and VEGF-C and to determine whether the presence of VEGF-A and VEGF-C was associated with the clinicopathologic characteristics of pancreatic cancer. METHODS: VEGF-A and VEGF-C mRNA transcripts were examined by Northern blot in 6 human pancreatic cancer cell lines and 8 normal pancreatic tissues and 8 pancreatic carcinoma specimens. The expression of VEGF-A and VEGF-C proteins was examined by Western blot in the tested cell lines and by immunohistochemical stain in 50 pancreatic carcinoma samples. RESULTS: VEGF-A and VEGF-C mRNA transcripts were present in all the 6 human pancreatic cancer cell lines. Immunoblotting revealed the presence of VEGF-A and VEGF-C proteins in all the cell lines. Northern blot analysis of total RNA revealed 3.0-fold and 3.6-fold increase in VEGF-A and VEGF-C mRNA transcript in the cancer samples, respectively. Immunohistochemical analysis confirmed the expression of VEGF-A and VEGF-C in cancer cells within the tumor mass. Immunohistochemical analysis of 50 pancreatic cancer tissue samples revealed the presence of VEGF-A and VEGF-C immunoreactivity in 50% and 80% of the cancer tissue samples, respectively. The presence of VEGF-A in these cells was associated with larger tumor size and enhanced local spread (c2 = 6.690, P = 0.035<0.05) but was not associated with decreased patient survival. However, the presence of VEGF-C in the cancer cells was associated with increased lymph node metastasis (c2 = 5.710, P = 0.017 < 0.05), but was not associated with decreased patient survival. There was no correlation between the expression of VEGF-A and VEGF-C in the same cancer cells. CONCLUSION: VEGF-A and VEGF-C are commonly overexpressed in human pancreatic cancer and may contribute to tumor growth and lymph node metastasis. There is no relationship between the expression of VEGF-A and VEGF-C in pancreatic cancer.

Interleukin-1alpha, 6 regulate the secretion of vascular endothelial growth factor A, C in pancreatic cancer.

BACKGROUND: Vascular endothelial growth factor (VEGF, namely VEGF-A) is an angiogenic polypeptide and VEGF-C is a lymphangiogenic polypeptide that has been implicated in cancer growth, invasion and metastasis. Several cytokines and growth factors play an important part in cancer progression. These cytokines and growth factors are the principal mediators of cancer cells--stromal cell interaction, which is critical for invasion of cancer cells to the surrounding tissues and metastatic dissemination to distant organs. In this study, we studied VEGF-A, C expression in cultured human pancreatic cancer cell lines and whether the presence of VEGF-A, C in the cell lines is regulated by cytokines interleukin-1alpha(IL-1alpha), and interleukin-6 (IL-6). METHODS: We used Northern blot and Western blot methods to analyze expression of the gene and protein of VEGF-A, C in all 6 tested cell lines (ASPC-1, CAPAN-1, MIA-PaCa-2, PANC-1, COLO-357 and T3M4) respectively. To analyze what is the regulator for this VEGF-A, C expression in pancreatic cancer, we used the reverse transcription-polymerase chain reaction (RT-PCR) method to analyze VEGF-A, C expression in cultured human pancreatic cancer cell lines (CAPAN-1 and COLO-357) under the stimulation with IL-1alpha(10 microg/L) or IL-6 (100 microg/L). RESULTS: Northern blot analysis revealed the presence of the 4.1 kb VEGF-A mRNA transcript and 2.4-kb VEGF-C mRNA transcript in all 6 tested cell lines. Immunoblotting with highly specific anti-VEGF-A, anti-VEGF-C antibody revealed the presence of a molecular weight of 43-kDa VEGF-A protein and 55-kDa VEGF-C protein in all the cell lines. RT-PCR analysis revealed the levels of the VEGF-A and VEGF-C gene were 1-2 fold and a 1-fold increase in the COLO-357 cell line by stimulation with IL-1alpha, however, no effect was found in the CAPAN-1 cell line. The levels of the VEGF-A and VEGF-C gene were 2-5 fold and a 1-fold increase in the CAPAN-1 cell line by stimulation with IL-6, but no effect was found in the COLO-357 cell line. CONCLUSION: These findings suggested that the expression of VEGF-A, C and their regulation by IL-1alpha, IL-6 in pancreatic cancer contributes to the lymphatic and distant metastasis and the disease progression.

[Inhibitory effect of silencing heparanase expression with antisense oligodeoxynucleotide on invasive capability of human esophageal squamous cancer cell line TE-13].

BACKGROUND & OBJECTIVE: Heparanase, a kind of endo-D-glucuronidase, degrades heparin sulfate proteoglycans, and plays important roles in invasion and metastasis of many kinds of malignant tumors. This research was designed to investigate the expression of heparanase in esophageal squamous cancer cell line TE-13 and the effect of heparanase antisense oligodeoxynucleotide (ASODN) transfection on invasion of TE-13 cells. METHODS: Synthesized heparanase ASODN was transfected into TE-13 cells. Before and after transfection, the expression of heparanase mRNA and protein in TE-13 cells was detected by reverse transcription-polymerase chain reaction (RT-PCR), Western blot, and immunocytochemistry. Matrigel invasion assay was used to determine the invasive capability of TE-13 cells. RESULTS: In TE-13 cells, heparanase gene (585 bp) was detected by RT-PCR, and heparanase protein (50 ku) by Western blot. Heparanase protein mainly located in cytoplasm and on cell membrane. After heparanase ASODN transfection, heparanase gene and protein expression and the invasive TE-13 cells were significantly reduced along with the ascending concentration of heparanase ASODN (P<0.05, P<0.05). CONCLUSIONS: Heparanase gene is expressed in TE-13 cells. Heparanase ASODN can obviously inhibit heparanase gene expression, and restrain invasive activity of TE-13 cells.