[Molecular mechanism of resveratrol combined with irinotecan in treatment of colorectal cancer].

This study aimed to investigate the mechanism of resveratrol(RES) combined with irinotecan(IRI) in the treatment of colorectal cancer(CRC). The targets of RES, IRI, and CRC were obtained from databases, and the targets of RES combined with IRI in the treatment of CRC were acquired by Venn diagram. The protein functional cluster analysis, GO and KEGG enrichment analyses were performed. In addition, the protein-protein interaction(PPI) network was constructed. The core target genes were screened out and the target-signaling pathway network was set up. IGEMDOCK was used to dock the core target gene molecules. Besides, the relationship between the expression level of key target genes and the prognosis and immune infiltration of CRC was analyzed. Based on the in vitro cell experiment, the molecular mechanism of RES combined with IRI in the treatment of CRC was explored and analyzed. According to the results, 63 potential targets of RES combined with IRI were obtained for CRC treatment. Furthermore, cluster analysis revealed that protein functions included 23% transmembrane signal receptors, 22% protein modifying enzymes, and 14% metabolite converting enzymes. GO analysis indicated that BPs were mainly concentrated in protein autophosphorylation, CCs in receptor complex and plasma membrane, and MFs in transmembrane receptor protein tyrosine kinase activity. Moreover, KEGG signaling pathways were mainly enriched in central carbon metabolism in cancer. The key targets of RES combined with IRI in the treatment of CRC were PIK3CA, EGFR, and IGF1R, all of which were significantly positively correlated with the immune infiltration of CRC. As shown by the molecular docking results, PIK3CA had the most stable binding with RES and IRI. Compared with the results in the control group, the proliferation ability and EGFR protein expression of CRC cells in the RES-treated group, the IRI-treated group, and the RES+IRI treated group significantly decreased. Moreover, the cell proliferation ability and EGFR protein expression level of CRC cells in the RES+IRI treated group were remarkably lower than those in the IRI-treated group. In conclusion, PIK3CA, EGFR, and IGF1R are the key targets of RES combined with IRI in CRC treatment. In addition, RES can inhibit the proliferation of CRC cells and improve IRI chemoresistance by downregulating the EGFR signaling pathway.

[Hydroxysafflor yellow A inhibits proliferation, migration, and chemoresistance of colorectal cancer cells through Akt/mTOR-autophagy pathway].

In recent years, the clinical treatment of colorectal cancer(CRC) has made great progress, but chemoresistance is still one of the main reasons for reducing the survival rate of patients with colorectal cancer. Therefore, ameliorating chemotherapy resis-tance is an urgent problem to be solved. The purpose of this study was to investigate the regulatory role and related molecular mechanisms of hydroxysafflor yellow A(HSYA) in colorectal cancer cell proliferation, migration, and 5-fluorouracil(5-FU) chemoresistance. In this study, HCT116 and HT-29 cells were used as research subjects. Firstly, methyl thiazolyl tetrazolium(MTT) assay and colony formation assay were used to detect and analyze the effect of HSYA on the proliferation of CRC cells. Secondly, the effect of HSYA on the cell cycle in CRC cells was analyzed by cell cycle assay. Furthermore, the effect of HSYA on the migration of CRC cells was analyzed by wound-healing assay and Transwell assay. Based on the above, the influences of HSYA on 5-FU chemoresistance of CRC cells and related molecular mechanisms were explored and analyzed. The results showed that HSYA significantly inhibited the proliferation and migration of CRC cells, and arrested the cell cycle in G_0/G_1 phase. In addition, HSYA significantly ameliorated the chemoresistance of CRC cells to 5-FU. The results of acridine orange staining and Western blot showed that the autophagy activity of CRC cells in the HSYA and 5-FU combined treatment group was significantly higher than that in the 5-FU single drug treatment group. As compared with the 5-FU single drug treatment group, the phosphorylation levels of protein kinase B(Akt) and mammalian target of rapamycin(mTOR) in the HSYA and 5-FU combined treatment group were significantly reduced, indicating that the Akt/mTOR signaling pathway in the combined treatment group was down-regulated in CRC cells. In conclusion, HSYA may upregulate autophagy activity through the Akt/mTOR signaling pathway, thereby inhibiting the proliferation and migration of CRC cells and ameliorating the chemoresistance to 5-FU.

[Comprehensive evaluation of Pinellia ternata germplasm resources based on phenotypic trait classification].

The evaluation of germplasm resources is the prerequisite for the development, utilization, and conservation of Chinese medicinal resources. The selection of excellent germplasm is the key to the breeding and orderly production of Pinellia ternata. In this study, 21 germplasm materials of P. ternata from major production areas in China were collected and analyzed for population diversity after phenotypic preliminary screening. The results have revealed that the P. ternata population has abundant phenotypic variation, and the phenotypic changes could be divided into five phenotypes in terms of organ trait variation. Further analysis of variation in 20 quantitative traits of the population revealed that the coefficient of variation for adenosine content(339.05%) was the largest, while the coefficient of variation for the underground plant height(16.35%) was the smallest. Correlation analysis showed that there was a strong correlation among various traits, with 52 pairs of traits showing highly significant correlation(P<0.01) and 19 pairs of traits showing a significant correlation(P<0.05). The 21 germplasms in the test could be classified into three major clusters by cluster analysis, with Cluster Ⅱ having the highest number and content of nucleosides, making it suitable for the selection and breeding of P. ternata varieties with high content of nucleosides. The yield in Cluster Ⅲ was higher than that in other groups, making it suitable for the selection and breeding of P. ternata varieties with a high yield. All trait indicators could be simplified into five principal component factors through principal component analysis, and the cumulative contribution rate was up to 86.04%. Further, comprehensive analysis using membership function and stepwise regression analysis identified nine traits, such as plant height, main leaf length, and underground plant height as characteristic indicators for the comprehensive evaluation of germplasm resources of P. ternata. BX007, BX008, and BX005 were identified as germplasms with both high yield and high uridine content, with BX007 having the highest uridine content of 479.51 µg·g~(-1). It belonged to the germplasm of P. ternata with double bulbils and could be cultivated as a potential good variety. Based on the phenotypic classification of P. ternata, systematic resource evaluation was carried out in this study, which could lay a foundation for the excavation of genetic resources and the breeding of new varieties of P. ternata.

[Aggregation and deaggregation behaviors of hematite nanoparticles at different pHs].

The aggregation and deaggregation behaviors have profound impacts on the fate of nanoparticles in the environment. In this work, the aggregation and deaggregation kinetics of hematite nanoparticles at different pHs were examined using a Zetasizer. In the pH range of 7.0-8.7, aggregation occurred quickly(e. g., the average size increased from 31 nm to 1 400 nm with 400 s at pH = 8.2), whereas at pH below 6.2, no aggregation was observed. Deggregation of hematite nanoparticles without aging was slower than aggregation and not completely reversible, demonstrating hysteresis. Aging caused more hematite nanoparticles to aggregate irreversibly. At point of zero charge (pH = 8.2), no deaggregation of aged particles was observed. At pH = 7.0 and 8.9, the average sizes of aged samples (about 500 nm) after deaggregation was greater than those of the samples without aging (about 250 nm). The hyteresis of the aggregation-deaggregation process poses significant difficulty to predict the fate and ecological effects of nanoparticles in the environment.