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As an industrial chemical， bisphenol A is widely used in various food packaging materials. However， it is an endocrine disrupting chemical， which has estrogen activity and can cause certain damage to humans. So far， there are few studies on the detection of bisphenol A in self-heating food packaging materials， and there remains a lack of relevant standard. Therefore， it is necessary to establish a simple， sensitive and efficient method for the detection of bisphenol A in self-heating food. This study briefly introduces the pretreatment methods of bisphenol A， such as ultrasonic extraction， solid phase extraction， accelerated solvent extraction， and detection methods， such as gas chromatography-mass spectrometry， high performance liquid chromatography， fluorescent detection， and electrochemical detection.
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【Objective】 To establish a prognostic model of fatty acid metabolism related genes for predicting the prognosis of renal clear cell carcinoma. 【Methods】 The differentially expressed fatty acid metabolism-related genes in renal clear cell carcinoma samples and normal samples in TCGA database were screened by R language software. The Cox proportional hazard regression model was used to select and establish a multigene prognostic model and the prognostic score was calculated. Patients were divided into high-risk group and low-risk group according to the median prognostic score. Kaplan-Meier survival curve was used to analyze the difference in two groups. The clinical pathological factors and prognostic score factors were included in the Cox regression model to analyze the factors affecting the survival of patients with renal clear cell carcinoma. ROC receiver operating curve analysis was used to evaluate the accuracy of the prognostic prediction model. The prognostic model of fatty acid metabolism-related genes and their correlation with clinical factors were analyzed. GSEA enrichment analysis analyzed the differences of gene sets in risk groups. 【Results】 A total of 4 differential genes (CPT1B, HADH, CYP4A11, and ACADSB) were selected to establish a prognostic model for genes related to fatty acid metabolism in renal cell carcinoma. The prognostic risk score (RS) formula is as follows: RS=0.490×CPT1B-0.428×HADH-0.11 × CYP4A11-0.372 × ACADSB. Kaplan-Meier survival analysis confirmed that the overall survival rate of patients with low-risk prognostic score was significantly higher in patients with overall renal clear cell carcinoma, and the difference was statistically significant (P<0.001). Cox regression analysis showed that the prognostic model of genes related to age and fatty acid metabolism is an independent influencing factor for the prognosis of patients with renal clear cell carcinoma (P<0.01). The 5 years’ AUC of the renal clear cell carcinoma ROC curve of the renal cancer fatty acid metabolism related gene model was 0.802. GSEA analysis showed that the difference of 81 gene sets in the low-risk group was statistically significant (P<0.05). 【Conclusion】 The prognostic model of renal cancer fatty acid metabolism-related genes can be used to predict the prognosis of patients with renal clear cell carcinoma, which is conducive to further guide clinical treatment.
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【Objective】 To explore and verify the mechanism of curcumin’s inhibition of the proliferation of renal clear cell carcinoma （RCCC） based on network pharmacology and bioinformatics. 【Methods】 We screened common target genes of RCCC and curcumin from PharmMapper and GeneCards databases. We used TCGA database data analysis to screen out common target genes which not only differentially expressed between RCCC tissue samples and normal tissue samples but also affected prognosis. We also used STRING platform to construct curcumin-RCCC targets interaction network， used R software to perform GO biological process analysis and KEGG pathway enrichment analysis based on the above-mentioned screening target proteins. After curcumin and/or active oxygen inhibitor N-acetyl-L-cysteine （NAC） were incubated in renal cancer 786-O and ACHN cells， CCK8 was used to detect the effects of different concentrations of curcumin on cell proliferation and cell viability. Reactive oxygen detection kit （DCFH-DA） was used to detect the level of intracellular reactive oxygen species， and malondialdehyde （MDA） determination kit （TBA method） to detect intracellular malondialdehyde changes. 【Results】 PharmMapper website and GeneCards database screened out 109 common targets of curcumin and RCCC. TCGA database data analysis screened out 37 differentially expressed genes （DEGs） that might affect the overall survival of patients. The core target proteins of curcumin screened out by protein-protein interaction （PPI） that inhibited the biological behavior of RCCC mainly involved CASP3， EGFR， CHEK1， HSP90AA1， and AR. GO enrichment analysis identified 213 items， mainly including reactive oxygen species metabolic process， response to steroid hormones， fibrinolysis and other biologically active processes. KEGG enrichment analysis identified 24 items， which were mainly related to pyruvate metabolism， glycolysis/gluconeogenesis， FoxO signaling pathway， colorectal cancer， tyrosine metabolism， IL-17 signaling pathway， apoptosis and other signaling pathways. Curcumin reduced the cell viability of 786-O and ACHN in a time- and dose-dependent manner （P<0.05）. After curcumin was incubated with kidney cancer cells， the level of reactive oxygen species and MDA increased significantly （P<0.05）. The addition of NAC reversed the effect of curcumin on the cell viability of 786-O and ACHN cells （P<0.05）. 【Conclusion】 Curcumin may participate in the oxidative stress pathway to inhibit the proliferation of renal cell carcinoma.
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Objective:To explore the feasibility of using multivariate statistical analysis to evaluate the quality of Astmgali radix from different habitats. Methods:The contents of Astragaloside saponinⅠ, Astragalus saponin Ⅱ, Astragaloside Ⅲ and Astragaloside A were determined by UPLC-ELSD. The components of astragalus saponins from different habitats were analyzed by TOPSIS and cluster thermogram.Results:TOPSIS analysis showed that the comprehensive quality of Astmgali radix samples from Shanxi, Gansu and Inner Mongolia was related(were 0.297 3, 0.346 0, 0.322 5), and the whole quality of S13 and S14 from Shanxi and N5 from Inner Mongolia were higher than others. Cluster thermogram showed that Astmgali radix was grouped into three groups according to region, and the quality difference of Astmgali radix was mainly reflected on Astragaloside saponinⅠand Astragalus saponin Ⅱ. Conclusions:The theory of multivariate statistical analysis is perfect, objective and reliable. It can be used as a reference for comprehensive quality evaluation of Traditional Chinese Medicine (TCM), selection of excellent germplasm resources and traceability of origin of TCM.
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Objective To detect the expression of IL-17 in renal transplant recipients by Luminex and evaluate the relationship between the level of serum IL 17 and early acute renal allograft rejection.Methods 38 kidney transplant recipients and healthy controls (HC,healthy volunteers,n =20) were selected in this study from January 2009 to October 2011.All patients were divided into two groups according to their allograft outcome as acute rejection group (ARG,n-18) and non-rejection group (NRG,n=20).The expression of serum IL-17 was detected by Luminex technique in two groups of kidney transplant recipients and HC.To evaluate the correlation between the level of serum IL-17 and early acute renal allograft rejection.Results The mean level of IL-17 in all renal transplant recipients 1.3 ± 1.9 pg/ml at the pre-transplantation was significantly lower than that in HC (6.9± 8.5 pg/ml,t=3.968,P＜0.001).The results highlighted that the level of serum IL-17 in ARG 3.4±5.8 pg/ml was significantly higher than that in NRG (0.5±0.4 pg/ml) on the 7th days post Kidney transplantation (post KTx,t=2.242,P =0.031).Kaplan-Meier survival analysis showed that the probability of rejectionfree survival in the higher levels group of IL-17 on the 7th days post-KTx was significant lower than that in the lower levels group (P＜0.001).The results of receiver operating characteristic curve showed that the sensitivity and specificity of the combined IL-17 to predict acute rejection were 66.67％ and 100％,respectively.Conclusion The serum IL-17 levels in renal transplant recipients on the 4th and 7th post-KTx days can predict early renal transplant rejection.