1.Quantitative Determination of Agarotetrol in Agarwood by HPLC-DAD
Yufan GU ; Qian ZHANG ; Huixia HUO ; Zheng HUANG ; Jing ZHANG ; Yunfang ZHAO ; Jun LI ; Pengfei TU
World Science and Technology-Modernization of Traditional Chinese Medicine 2014;(12):2643-2646
This study was aimed to establish a quantitative method for the determination of agarotetrol in agarwood to control its quality. The HPLC analysis was performed on a Diamonsil C18 column (4.6 mm í 250 mm, 5 μm), eluted with a mobile phase of water with 0.1% formic acid and acetonitrile in gradient mode with the flow rate of 0.7 mL·min-1. The detection wavelength was set at 252 nm. The column temperature was 30oC. The results showed that the separation of agarotetrol and adjacent peaks were more than 1.5, which achieved a baseline separation. A good lin-earity (r = 0.999 8) was observed in the range of 2.0-125.0 μg·mL-1, with the average recovery of 102.75%. The a-garotetrol cannot be less than 0.15% based on the data of Agarwood samples. It was concluded that the method was accurate and reliable to determine the content of agarotetrol, which can be used for the quality control of agarwood.
2.Retrospective study on the initial clinical manifestations of 1958 hospitalized patients with systemic lupus erythematosus
Yufan GUO ; Lingyun SUN ; Yaohong ZOU ; Wenyou PAN ; Xiangdang WANG ; Jieping PAN ; Miaojia ZHANG ; Juan TAO ; Yu ZHANG ; Kuilin TAN ; Jing LI ; Xiang DING ; Xian QIAN ; Zhanyun DA ; Meimei WANG ; Zhiwei CHEN
Chinese Journal of Rheumatology 2011;15(2):105-107
Objective To investigate the initial manifestation and disease onset feature of systemic lupus erythematosus(SLE) in the past ten years in fifteen hospitals in Jiangsu Province.Methods Data was collected by the same Methodsin all the participated hospitals and then it was summarized for retrospective analysis.Two groups were compared by chi-square test.Results ① One thousand nine hundred and fifty eight patients were investigated and the male-to-female ratio was 1∶15.0.② One thousand seven hundred and ninty eight patients had clear initial manifestations.The most common initial manifestations were skin and mucosal lesions(769 cases,42.8% ) and arthritis (697 cases,38.8% ).The main skin lesion was malar rash (706 cases).Arthritis was found to be more common in female than male.③ All hospitalized patients at their first admission showed multiple organ/system involvement:the most common involvement was skin and mucous membrane (82.3%),hematologic damage (74.0%),in which at least one series of blood cells were involved,arthritis (1156 cases,56.5% ) much more than myositis (51 cases),proteinuria 1046 cases and hematuria in 385 cases.Renal biopsy pathology showed type Ⅳ glomerulonephritis.Conclusion ① SLE patients are mainly female and the male to female ratio is 1∶15.0.② The most common initial manifestations are skin and mucosal lesions.③ The most commonly involved organ/system are skin and mucous membrane,blood,joint and kidney.The most common pathological changes shown in renal biopsy is type Ⅳ glomerulonephritis.
3.Multi-task learning for automated classification of hypertensive heart disease and hypertrophic cardiomyopathy using native T1 mapping
Honglin ZHU ; Yufan QIAN ; Xiao CHANG ; Yan ZHOU ; Jian MA ; Rong SUN ; Shengdong NIE ; Lianming WU
International Journal of Biomedical Engineering 2024;47(4):342-348
Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.
4.Exploring the Mechanism of Sijunzi Decoction in Inhibiting the Development of Adenoma in Chronic Colorectal Inflammation Based on Network Pharmacology and Experimental Validation
Yufan QIAN ; Yujing LIU ; Lu LU ; Hanchen XU
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(6):1446-1457
Objective To predict and validate the core targets of Sijunzi Decoction through network pharmacology and animal experiments,and to explore the mechanism of action of Sijunzi Decoction in inhibiting the occurrence of adenomas in chronic colorectal inflammation.Methods Based on TCMSP,GeneCards and OMIM databases,screen potential targets for active components of Sijunzi Decoction and gene targets related to disease and immunity,construct a potential target regulatory network for active components of Sijunzi Decoction,analyze relevant pathways and core targets through pathway enrichment and protein interaction networks,and explore potential targets of Sijunzi Decoction in inhibiting intestinal diseases.By intervening in the DSS induced chronic colorectal inflammation mouse model with Sijunzi Decoction,the protective effect of Sijunzi Decoction on chronic colorectal inflammation mice was confirmed through changes in intestinal phenotype and pathological staining in each group of mice.Finally,the transcriptional levels and protein expression levels of the core targets related to Sijunzi Decoction predicted based on network pharmacology were verified through qRT PCR and Western Blot,further validating the mechanism of Sijunzi Decoction's inhibitory effect on the occurrence of adenomas in mice with chronic colorectal inflammation.Results Network pharmacology analysis shows that Sijunzi Decoction is related to inflammatory,immune,and tumor related pathways,and 15 related core targets have been screened and predicted.After intervention with Sijunzi Decoction in DSS chronic colorectal inflammation model mice,it slowed down the inflammatory response of the colon and significantly improved the number and size of intestinal tumors.QRT PCR and Western Blot further confirmed that the mechanism of action of Sijunzi Decoction is related to the core targets of network pharmacology prediction,EGFR,MAPK8,and CASP3.Conclusion Sijunzi Decoction can inhibit the expression levels of EGFR,MAPK8,and CASP3,exerting the effect of inhibiting the occurrence of adenomas in chronic colorectal inflammation.This provides a new idea for further exploring the mechanism of Sijunzi Decoction's inhibition of the occurrence of adenomas in chronic colitis.
5.Isogenic human pluripotent stem cell disease models reveal ABRA deficiency underlies cTnT mutation-induced familial dilated cardiomyopathy.
Bin LI ; Yongkun ZHAN ; Qianqian LIANG ; Chen XU ; Xinyan ZHOU ; Huanhuan CAI ; Yufan ZHENG ; Yifan GUO ; Lei WANG ; Wenqing QIU ; Baiping CUI ; Chao LU ; Ruizhe QIAN ; Ping ZHOU ; Haiyan CHEN ; Yun LIU ; Sifeng CHEN ; Xiaobo LI ; Ning SUN
Protein & Cell 2022;13(1):65-71