1.Effects of phytohormones on plant regeneration and production of flavonoids in transgenic Saussurea involucrata hairy roots.
Xianli QIAO ; Shuguang JIANG ; Xiaofeng LI ; Fengxia LI ; Dexiu ZHAO
Chinese Journal of Biotechnology 2011;27(1):69-75
We investigated the plant regeneration and production of flavonoids in three high-yield flavonoids transgenic Saussurea involucrata hairy roots C17, C27 and C46 by quantification of two phytohormones GA3 and IAA. The results showed that GA3 concentration at more than 1.0 mg/L could induce adventitious shoots in the hairy root lines. The highest shoot regeneration rate, about 82%, was obtained when the hairy roots C17 were cultured with 2.0 mg/L GA3. The results on HPLC and UV spectrophotometry showed that exogenous application of both GA3 and IAA increased the content of flavonoids in the hairy roots. The contents of flavonoids and apigenin in the hormone-treated hairy roots and regenerates were higher comparing with those in the untreated hairy roots and the regenerates. However, the content of flavonoids was not related to tissue weight, and was negatively related to the regeneration efficiency.
Culture Techniques
;
Flavonoids
;
biosynthesis
;
Gibberellins
;
pharmacology
;
Indoleacetic Acids
;
pharmacology
;
Plant Growth Regulators
;
pharmacology
;
Plant Roots
;
growth & development
;
metabolism
;
Plants, Genetically Modified
;
growth & development
;
metabolism
;
Saussurea
;
genetics
;
growth & development
;
metabolism
2.The vaginal microecology in gynecological outpatients: a report from China
Dai ZHANG ; Chaohui LIU ; Qinping LIAO ; Jiao QIAO ; Fengxia XUE ; Dikai ZHANG ; Shangrong FAN ; Jianhua ZHENG ; Min XUE ; Min HAO ; Zheng′ai XIONG ; Li′na HU
Chinese Journal of Laboratory Medicine 2018;41(4):287-291
Objective To study the vaginal microecology of the patients in the outpatient department of Obstetrics and gynecology in China.Methods A multicenter cross-sectional study was conducted in gynecologic clinic of 9 collaborative hospitals in China.200 consecutive patients were collected in each hospital and their vaginal microecology combined with related factors were analyzed.Results A total of 2 093 specimens were collected in this study.The detection rate of Trichomonas was 5.5%(115/2 093). The detection rate of Candida mycelia was 15.9%(333/2 093), with germinal spores was 4.1%(86/2093).The detection rate of bacterial vaginosis was 18.8%(394/2 093).The distribution results of vaginal flora in patients showed that the normal flora accounted for only 27.3%(571/2 093).The normal flora with the insufficiency of H2O2 accounted for 23%(480/2 093).The bacteria inhibiting flora accounted for 3.8%(79/2 093).The abnormal microflora(non BV type)accounted for 14.9%(312/2 093).The abnormal microflora(BV intermediate type)accounted for 13.4%(280/2 093).The abnormal microflora(BV type)accounted for 17.6%(369/2 093).The average pH of vaginal discharge was 4.58 ±0.495.There was no significant difference of the incidence of trichomonas and bacterial vaginosis between north and south of the Yangtze river, while the detection rate of fungal hyphae and the fungal spores is significantly higher in the south than that in the north.The analysis results of factors affecting the microecology showed that age and contraception methods were two important factors.The patients′age from bacteria inhibition group was 49.64 +16.68 which was significantly higher than that of the other microecology groups.The proportion of abnormal microflora of patients from the oral contraceptive group was 40%(20/50).The proportion of abnormal microflora of patients from IUD group was 36.6%(63/172).Compared with these two contraception methods, the proportion of abnormal microflora of patients from condoms usage group was 27.8%(91/327)which was significantly lower.The incidence of abnormal leucorrhea in the normal group was 37.7%, which was significantly lower than that of other abnormal groups.Conclusion This study showed the vaginal microecology status of the Chinese outpatient ′s clinic and found that the vagina microecology was related to age, region and contraceptive methods.The typical manifestation of microecological abnormality is the increase of leucorrhea.(Chin J Lab Med,2018, 41:287-291)
3.Early fluid therapy guided by optimal urine output threshold in patients with acute pancreatitis
Yun ZHANG ; Qiao NING ; Jia WANG ; Xiaofei HUANG ; Fengxia QIN ; Haibin NI
Chinese Journal of Emergency Medicine 2022;31(10):1384-1388
Objective:To investigate the urine output threshold of acute kidney injury in patients with acute pancreatitis(AP) and to guide early fluid therapy.Methods:The clinical data of AP patients from Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) were collected. The 24-h urine output rate [24-h urine output·kg-1·24-h-1, 24-UR mL/ (kg·h) ] and 48-h urine output rate [48-h urine output·kg-1·48-h-1, 48-UR mL/ (kg·h) ] were calculated, and according to the occurrence of acute kidney injury within 7 days (7-AKI), AP patients were divided into the 7-AKI group and non-7-AKI group. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of 24-UR and 48-UR on 7-AKI in AP patients. 24-UR and 48-UR were grouped according to the optimal cut-off value obtained from the ROC curve. Logistic regression was used to analyze the risk factors of 7-AKI, and Kaplan-Meier (KM) survival curve was drawn to analyze the effect of 24-UR and 48-UR on in-hospital mortality of AP patients.Results:A total of 713 AP patients were included, ROC curve analysis showed that the area under the ROC curve (AUC) of 24-UR in predicting 7-AKI in AP patients was 0.76. Based on the maximum Youden index, the cut-off value of 24-UR was 0.795 mL/ (kg·h) , and the AUC of 48-UR was 0.78 and the cut-off value of 48-UR was 0.975 mL/ (kg·h) . Logistic regression analysis showed that 24-UR≤0.795 mL/ (kg·h) was an independent risk factor for 7-AKI compared with 24-UR>0.795 mL/ (kg·h) ( OR: 4.22, 95% CI:1.50-11.85, P=0.006). Similarly, compared with 48-UR>0.975 mL/ (kg·h) , 48-UR0.975 mL/ (kg·h) was an independent risk factor for 7-AKI ( OR: 3.75, 95% CI: 1.45-9.72, P=0.007). The KM survival curve showed that the cumulative in-hospital survival rate in the high 24-UR group was higher than that in the low 24-UR group. Conclusions:24-UR can be used to guide early fluid therapy in AP patients.
4.Analysis of anticancer compound,indole-3-carbinol,in broccoli using a new ultrasound-assisted dispersive-filter extraction method based on poly(deep eutectic solvent)-graphene oxide nanocomposite
Yanan YUAN ; Huanhuan CHEN ; Yehong HAN ; Fengxia QIAO ; Hongyuan YAN
Journal of Pharmaceutical Analysis 2022;12(2):301-307
Indole-3-carbinol(I3C),an important anticancer compound found in broccoli,has attracted considerable attention.The rapid extraction and accurate analysis of I3C in the pharmaceutical industry in broccoli is challenging as I3C is unstable at low pH and high temperature.In this study,a rapid,accurate,and low-cost ultrasound-assisted dispersive-filter extraction(UADFE)technique based on poly(deep eutectic solvent)-graphene oxide(PDES-GO)adsorbent was developed for the isolation and analysis of I3C in broccoli for the first time.PDES-GO with multiple adsorption interactions and a fast mass transfer rate was synthesized to accelerate adsorption and desorption.UADFE was developed by combining dispersive solid-phase extraction(DSPE)and filter solid-phase extraction(FSPE)to realize rapid extraction and separation.Based on the above two strategies,the proposed PDES-GO-UADFE method coupled with high-performance liquid chromatography(HPLC)allowed the rapid(15-16 min),accurate(84.3%-96.4%),and low-cost(adsorbent:3.00 mg)analysis of I3C in broccoli and was superior to solid-phase extraction,DSPE,and FSPE methods.The proposed method showed remarkable linearity(r=0.9998;range:0.0840-48.0 μg/g),low limit of quantification(0.0840 μg/g),and high precision(relative standard deviation≤5.6%).Therefore,the PDES-GO-UADFE-HPLC method shows significant potential in the field of pharmaceutical analysis for the separation and analysis of anti-cancer compounds in complex plant samples.