1.Study on New Technology of PVA-film Coating for Dengzhanxixin Capsules(Herba Erigerontis)
Chinese Traditional Patent Medicine 1992;0(02):-
The fluid-bed spray dryer was developed for PVA-film coating of the granules made of extract from Chinese traditional medicine. The experiment result indicated that the dissolution rate of granules from Dengzhanxixin Capsules wash't affected by PVA-film coating. The coated granules could be filled into capsules easily. Their stability was highly raised. This new technology basicalcy solved such problems as: easy moisture-absorbing of extract after vacuum drying at low temperature, difficult capsule-filling and poor stability, which led to the assurance and lift of preparation quality.
2.The effect of anxiety on attentional orienting of heroin addicts
Jingyi WANG ; Jingwei BIAN ; Lixia SHENG ; Yunxia JIA ; Yunkun MO ; Junfa LI ; Yanlin LUO
Chinese Journal of Nervous and Mental Diseases 2016;42(10):586-590
Objective To investigate the effect of state anxiety and trait anxiety on attentional orienting of heroin addicts. Methods State anxiety and trait anxiety was measured by State-Trait Anxiety Inventory (STAI). Forty heroin ad?dicts (36 males and 4 females) and 40 healthy controls (36 males and 4 females) participated in cue-target task. Atten?tional orienting and reorienting were measured in valid cue trials and invalid cue trails. Results Heroin addicts had sig?nificantly greater state anxiety [(42.65 ± 6.58) vs. (36.60 ± 8.91)] and trait anxiety [(44.43 ± 7.67) vs. (37.00 ± 8.63)] values than controls (P<0.05). The state anxiety was significantly correlated with orientation RT difference (r=-0.259, P=0.020) and disengaging/reorientation RT difference (r=0.333, P=0.003) in heroin addicts. Trait anxiety was also significantly cor?related with orientation RT difference (r=-0.248, P=0.026) and disengaging/reorientation RT difference (r=0.356, P=0.001) in heroin addicts. Conclusion Heroin addicts have significantly greater anxiety than healthy controls. Both their state anxiety and trait anxiety are associated with attentional orienting and disengaging/reorienting.
3.Assessing the Role of Matrix Metalloproteinase-9 in Rheumatoid Arthritis
Shuilian OU ; Zhifeng PAN ; Zhuojun XU ; Yingliang LIANG ; Jingyi WU ; Heguo MO
Journal of Modern Laboratory Medicine 2016;31(3):81-83
Objective To assess the role of Matrix Metalloproteinase-9 (MMP-9)in rheumatoid arthritis (RA).Methods Peripheral blood from 45 RA patients and 28 healthy individuals (HV)were collected to detect RF and hs-CRP by immuno-turbidimetry,ESR by westergren method and MMP-9 by ELISA.The correlation was analysed between MMP-9 and RF, ESR or hs-CRP,respectively,by pearson correlation analysis.Results Levels of RF,ESR,hs-CRP and MMP-9 were signifi-cantly higher in RA patients than HV group (t=3.93~5.96,P<0.001),respectively.RF high titer patients or patients with a high inflammation response showed a higher MMP-9 levels than the RF low titer or slight inflammation patients (P<0.05).MMP-9 was positively correlated to RF,ESR and hs-CRP in RA patients(P<0.05),respectively.Conclusion MMP-9 maybe a sensitive tool in the diagnosis and management of RA patients.
4.Overexpression of P53 is prognostic for aromatase inhibitor resistance in early stage postmenopausal patients with ER-positive breast cancer
Xiaoqing JIA ; Qi HONG ; Jingyi CHENG ; Jianwei LI ; Yujie WANG ; Miao MO ; Zhimin SHAO ; Zhenzhou SHEN ; Guangyu LIU
China Oncology 2014;(5):354-360
Background and purpose:Tumor suppressor gene P53 has long been studied in tumors, including breast cancer. More studies focused on the relationship between P53 and prognosis of breast cancer and found that P53 overexpression suggested a bad prognosis. However, the effect of P53 on early stage postmenopausal patients with ER-positive breast cancer has not been clariifed yet. This study was to investigate the role of P53 plays in aromatase inhibitor (AI) resistance among early stage postmenopausal patients with ER-positive breast cancer patients. Methods:A total number of 293 operable breast cancer patients who received surgical treatment during Jul. 2000 to Jul. 2006 in Fudan University Shanghai Cancer Center were enrolled into this study. All patients received AI treatment. The SPSS 12.0 software was used to estimate the survival rate. Univariate and multivariate analysis were also performed via above software. Results:The median follow-up time is 72 months (6-140 months). The 5 year disease free survival (DFS) of P53 positive and negative were 78%and 89%. The results showed that P53 overexpression (HR=1.729, 95%CI:1.038-2.880, P=0.035), pathological stage (HR=2.270, 95%CI:1.399-3.681, P=0.001);histological grade (HR=2.328, 95%CI:1.312-4.133, P=0.004); age (HR=1.988, 95%CI:1.511-2.617, P<0.005) were still the independent risk factors of recurrence and metastasis in breast cancer patients treated with AI. Conclusion:P53 overexpression correlated strongly with AI resistance in early stage postmenopausal patients with ER-positive breast cancer patients who were treated with AI and conifrmed the relevance of previously described prognostic factors. It is reasonable to take P53 expression into account when we evaluate the risk of breast cancer patients and decide the anti-cancer treatment strategy.
5.Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation.
Cheng LI ; Xiaojing MA ; Jingyi LU ; Rui TAO ; Xia YU ; Yifei MO ; Wei LU ; Yuqian BAO ; Jian ZHOU ; Weiping JIA
Frontiers of Medicine 2023;17(1):68-74
Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.
Humans
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Glucose
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Blood Glucose
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Insulin Resistance/physiology*
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Diabetes Mellitus, Type 2/diagnosis*
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Blood Glucose Self-Monitoring
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Time Factors
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Insulin