ABSTRACT
OBJECTIVE To compare t he diff erences of the fingerprint and in vitro antioxidant activity between decoction pieces of Polygonum cuspidatum by integrated technology of habitat processing and processing （short for IPDP ）and traditional processing decoction pieces （short for TPDP ）. METHODS Ten batches of IPDP and ten batches of TPDP were prepared by integrated technology and traditional technology ，respectively. HPLC method was used to establish and compare the fingerprints of IPDP and TPDP. The scavenging rates of DPPH free radical ，ABTS free radical ，superoxide free radical and hydroxyl free radical and reducing activity of Fe 3+ were detected for IPDP and TPDP. In vitro antioxidant activities were compared between IPDP and TPDP. RESULTS There were 11 common peaks in the fingerprints of IPDP and TPDP ，among which 17 came from IPDP and 13 came from TPDP. The peak heights of peak 6（polydatin）and peak 15（emodin-8-O-β-D-glucoside）in IPDP were significantly higher than those in the TPDP ，and the peak heights of peak 13（resveratrol），peak 17（emodin）and peak 19（physcion）in the TPDP were significantly higher than those in the IPDP. The results of in vitro antioxidant test showed that IPDP and TPDP had a certain scavenging capacity on DPPH free radical ，ABTS free radical ，superoxide free radical and hydroxyl free radicals ，and also had a certain reducing capacity on Fe 3+. CONCLUSIONS The integrated processing technology of P. cuspidatum has a good retention effect on the glycosides in P. cuspidatum ，and the in vitro antioxidant activity of IPDP is stronger than that of TPDP.
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ObjectiveTo investigate the efficacy and mechanism of berberine hydrochloride （BBH） against lung cancer cells through the mevalonate （MVA） pathway. MethodHuman lung cancer A549 cells and mouse Lewis lung carcinoma （LLC） cells were used as research subjects. Cell proliferation and cell counting kit-8 （CCK-8） assay were performed to detect the inhibitory effect of BBH （10， 20， 30， 40， 50 μmol·L-1） on the proliferation of the two kinds of cells （48 h）. Then cell scratch assay was used to explore the influence of BBH （40 μmol·L-1） on the migration of A549 and LLC cells （24， 48 h）， and colony formation assay was conducted to compare the colony formation ability of the cells under different concentrations of BBH （10， 20， 40 μmol·L-1）. Moreover， the effects of BBH （40 μmol·L-1） on the content of acetyl-coenzyme A （A-CoA） and total cholesterol （TC） in A549 and LLC cells were determined by kit assay. AutoDock Vina was used for the dock of BBH and MVA pathway regulatory protein， sterol regulatory element-binding protein 2 （SREBP2）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to observe the effects of BBH （40 μmol·L-1） on the mRNA expression of nine genes related to the MVA pathway in A549 and LLC cells： hydroxymethylglutaryl-CoA synthase 1 （HMGCS1）， hydroxymethylglutaryl-CoA Reductase （HMGCR）， mevalonate kinase （MVK）， phosphomevalonate kinase （PMVK）， mevalonate 5-pyrophosphate decarboxylase （MVD）， farnesyl diphosphate synthase （FDPS）， squalene epoxidase （SQLE）， farnesyl-diphosphate farnesyltransferase 1 （FDFT1）， and geranylgeranyl diphosphate synthase 1 （GGPS1）. Western blot was performed to clarify the effects of BBH （40 μmol·L-1） on the expression of three key proteins of the MVA pathway： HMGCS1， HMGCR， and FDFT1. The Cancer Genome Atlas （TCGA） database was searched to analyze the relationship between HMGCS1， HMGCR， FDFT1 and transcription gene SREBF2 in non-small cell lung cancer （NSCLC）. ResultCompared with the conditions in the control group， the proliferation， migration， and colony formation of A549 and LLC cells in the BBH group were decreased （P<0.01）， while the cell apoptosis rate was increased （P<0.01）. Molecular docking showed that BBH had good binding activity with SREBP2. In addition， the content of A-CoA and TC of the MVA pathway was reduced （P<0.01）. BBH down-regulated the mRNA expression of HMGCS1， HMGCR， MVK， PMVK， MVD， FDPS， SQLE， FDFT1， and GGPS1 in A549 and LLC cells （P<0.01）， and lowered the levels of HMGCS1， HMGCR， and FDFT1 proteins （P<0.05， P<0.01）. In NSCLC patients， HMGCS1， HMGCR， and FDFT1 were highly correlated with SREBF2 （R=0.54， R=0.57， and R=0.48）. ConclusionBBH can inhibit the proliferation， migration， and colony formation of A549 and LLC cells and promote cell apoptosis， which may be related to the regulation of MVA pathway by BBH binding to SREBP2.
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@#Objective To evaluate the relationship between four classic inflammatory biomarkers, including C-reactive protein (CRP), white blood cell (WBC), IL (interleukin family), tumor necrosis factor-α (TNF-α), and postoperative atrial fibrillation (POAF) after coronary artery bypass grafting (CABG) and valve replacement (VR) surgeries. Methods We searched PubMed, EMBase, the Cochrane Library, Ovid, Chinese Journal Full-text Database, Chinese Biomedical Literature Database, VIP database and WanFang database from the inception to April 2020. Studies on the relationship between POAF and the above four inflammatory biomarkers were analyzed. Two researchers independently reviewed the literature, extracted data and evaluated the quality of the literature. RevMan 5.3 software was used for meta-analysis. Results A total of 47 articles were included, covering 10 711 patients. The levels of preoperative CRP (SMD=0.38, 95%CI 0.14-0.62, Z=3.12, P=0.002) and postoperative CRP (SMD=0.40, 95%CI 0.06-0.74, Z=2.33, P=0.02), IL-6 (SMD=1.34, 95%CI 0.98-1.70, Z=7.26, P<0.001) and TNF-α (SMD=−0.33, 95%CI −0.65-−0.01, Z=2.02, P=0.040) were related to POAF, while preoperative IL-8 (SMD=−0.05, 95%CI −0.28-0.18, Z=0.42, P=0.68) and TNF-α (SMD=−0.43, 95%CI −1.22-0.36, Z=1.07, P=0.28), postoperative WBC (WMD=1.16, 95%CI −0.09-2.42, Z=1.82, P=0.07) and IL-10 (SMD=0.21, 95%CI −0.35-0.77, Z=0.73, P=0.46) were not related to POAF. The relationships between preoperative WBC and IL-10, postoperative IL-8 and POAF were inclusive, which needed further verification. Furthermore, the relationship between postoperative CRP and POAF were not consistent, as they were not significantly correlated in sub-group analysis. Conclusion The inflammatory substrate before the surgery and inflammatory reaction induced by the operation is related to the occurrence and maintenance of POAF. Compared with preoperative inflammatory status, postoperative inflammatory factors may have a greater predictive value for POAF. Preoperative CRP, postoperative IL-6 and TNF-α levels are reliable biomarkers of POAF.