1.Low-dose X-ray radiation on pituitary gland area to treat benign prostatic hyperplasia
Difei DING ; Zhaoding SU ; Yusheng WANG ; Kai HU ; Jinghua HOU
Chinese Journal of Primary Medicine and Pharmacy 2006;0(10):-
Objective To investigate the effects of low-dose X-ray radiation on pituitary gland area to treat benign prostatic hyperplasia.Methods Using the linear-accelerator 6mV X-ray to radiation on pituitary gland area,1.2Gy/f,2 times/week,total dose was 4.8~6.0Gy.The uro-flow rate and residual urine volume were measured.Results The immediate effect was 77.5%,the 1-year effect rate was 70%.After treatment,the uro-flow rate was significantly increased(P
2.Sort similarity based on computational method for chemical fingerprinting.
Jinghua ZHONG ; Xiaorong HOU ; Xiaohui FAN
China Journal of Chinese Materia Medica 2010;35(4):477-480
The key parts of chemical fingerprinting. However, the performance of the current whole similarity determining method sometimes is inadequate when the chromatograms of different classes are similar. The present study was focused on developing a sort similarity measure determining method for these problems. In this method, chemical fingerprint features are extracted from original chromatograms for classifying the samples. Further, the fluctuations of chemical compositions among the same class samples are evaluated using an inter-class similarity measure. The proposed method was applied to evaluate the quality of Sarcandra glabra samples through their HPLC fingerprints. The results showed that the different parts of this plant, i.e., the aerial and the whole, were clearly classified, and chemical fluctuations of samples with the same sort were well represented.
Chromatography
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methods
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Chromatography, High Pressure Liquid
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methods
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Magnoliopsida
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chemistry
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Plant Extracts
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analysis
3.Relationship between B10 cells and incidence of autoimmune diabetes in non-obese diabetic mice
Linan LIU ; Jinghua LI ; Suli WANG ; Chen CHENG ; Wenli HOU ; Shumei GUAN ; Hong ZHANG
Chinese Journal of Immunology 2016;32(6):812-814,819
Objective:To study relationship between B10 cells and the incidence of autoimmune diabetes in nonobese diabetic mice. Methods:20 NOD/LT female mice of 6 week old were cultured in normal culture to 30 weeks,and the mice were divided into two groups according the mice’s blood glucose,serum creatinine and body weight detected at their 30 weeks old. IL-10 levels in spleen tissues of the two groups were detected by enzyme-linked immunosorbent assay. We used flow cytometry to detect the proportion of B10 cells in the spleen of mice in the two groups. NOD/LT mice were randomly divided into control group and B10 group. The B10 cells were inoculated in B10 groups,their blood glucose were detected when they were 10,15,20,25 and 30 weeks old. Results: The blood glucose and serum creatinine levels were significantly higher in the group than that in the autoimmune diabetes group (P< 0. 05),and the body weight was significantly lower than that in the autoimmune diabetes group (P<0. 05). The level of IL-10 in the spleen tissues of the autoimmune diabetes mice was significantly higher than that in the non autoimmune diabetes group. The content of B10 cells in the spleen of the mice with autoimmune diabetes mellitus was significantly higher than that in the non autoimmune diabetes group. When mice at the age of 10,15 weeks,the incidence of autoimmune diabetes in B10 group was significantly lower than that in the control group,but the incidence of autoimmune diabetes in B10 group was significantly higher than that in control group at 20,25 and 30 weeks. Conclusion:The over accumulation of B10 cells may be one of the reasons for the further development of autoimmune diabetes in NOD mice.
4.A genome-wide RNAi screen identifies genes regulating the formation of P bodies in C. elegans and their functions in NMD and RNAi.
Yinyan SUN ; Peiguo YANG ; Yuxia ZHANG ; Xin BAO ; Jun LI ; Wenru HOU ; Xiangyu YAO ; Jinghua HAN ; Hong ZHANG
Protein & Cell 2011;2(11):918-939
Cytoplasmic processing bodies, termed P bodies, are involved in diverse post-transcriptional processes including mRNA decay, nonsense-mediated RNA decay (NMD), RNAi, miRNA-mediated translational repression and storage of translationally silenced mRNAs. Regulation of the formation of P bodies in the context of multicellular organisms is poorly understood. Here we describe a systematic RNAi screen in C. elegans that identified 224 genes with diverse cellular functions whose inactivations result in a dramatic increase in the number of P bodies. 83 of these genes form a complex functional interaction network regulating NMD. We demonstrate that NMD interfaces with many cellular processes including translation, ubiquitin-mediated protein degradation, intracellular trafficking and cytoskeleton structure.We also uncover an extensive link between translation and RNAi, with different steps in protein synthesis appearing to have distinct effects on RNAi efficiency. Moreover, the intracellular vesicular trafficking network plays an important role in the regulation of RNAi. A subset of genes enhancing P body formation also regulate the formation of stress granules in C. elegans. Our study offers insights into the cellular mechanisms that regulate the formation of P bodies and also provides a framework for system-level understanding of NMD and RNAi in the context of the development of multicellular organisms.
Animals
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Animals, Genetically Modified
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Caenorhabditis elegans
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genetics
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Cytoplasmic Structures
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Gene Expression Regulation
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Genes, Helminth
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Genome, Helminth
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genetics
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MicroRNAs
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genetics
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Nonsense Mediated mRNA Decay
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physiology
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RNA Interference
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RNA, Helminth
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genetics
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Reverse Transcriptase Polymerase Chain Reaction
5. Efficacy and safety of IA regimen containing different doses of idarubicin in de-novo acute myeloid leukemia for adult patients
Aining SUN ; Xiaopeng TIAN ; Xiangshan CAO ; Jian OUYANG ; Jian GU ; Kailin XU ; Kang YU ; Qingshu ZENG ; Zimin SUN ; Guoan CHEN ; Sujun GAO ; Jin ZHOU ; Jinghua WANG ; Linhua YANG ; Jianmin LUO ; Mei ZHANG ; Xinhong GUO ; Xiaomin WANG ; Xi ZHANG ; Keqian SHI ; Hui SUN ; Xinmin DING ; Jianda HU ; Ruiji ZHENG ; Hongguo ZHAO ; Ming HOU ; Xin WANG ; Fangping CHEN ; Yan ZHU ; Hong LIU ; Dongping HUANG ; Aijun LIAO ; Liangming MA ; Liping SU ; Lin LIU ; Zeping ZHOU ; Xiaobing HUANG ; Xuemei SUN ; Depei WU
Chinese Journal of Hematology 2017;38(12):1017-1023
Objective:
To investigate the efficacy and safety of IA regimen which contains idarubicin (IDA) 8 mg/m2, 10 mg/m2 or 12 mg/m2 as induction chemotherapy for adult patients with de-novo acute myeloid leukemia (AML) .
Methods:
A total of 1 215 newly diagnosed adult AML patients, ranging from May 2011 to March 2015 in the First Affiliated Hospital of Soochow University and other 36 clinical blood centers in China were enrolled in the multicenter, single-blind, non-randomized, clinical controlled study. To compare the response rate of complete remission (CR) , adverse events between different dose idarubicin combined with cytarabine (100 mg/m2) as induction chemotherapy in newly diagnosed patients of adult AML.
Results:
Of 1 207 evaluable AML patients were assigned to this analysis of CR rate. The CR rates of IDA 8 mg/m2 group, IDA 10 mg/m2 group and IDA 12 mg/m2 group were 73.6% (215/292) , 84.1% (662/787) and 86.7% (111/128) , respectively (
6.Construction of AQHI based on joint effects of multi-pollutants in 5 provinces of China
Jinghua GAO ; Chunliang ZHOU ; Jianxiong HU ; Ruilin MENG ; Maigeng ZHOU ; Zhulin HOU ; Yize XIAO ; Min YU ; Biao HUANG ; Xiaojun XU ; Tao LIU ; Weiwei GONG ; Donghui JIN ; Mingfang QIN ; Peng YIN ; Yiqing XU ; Guanhao HE ; Xianbo WU ; Weilin ZENG ; Wenjun MA
Journal of Environmental and Occupational Medicine 2023;40(3):281-288
Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO2, NO2, CO, PM2.5, PM10, and maximum 8 h O3 concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM2.5, NO2, SO2, and O3 were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM2.5, NO2, SO2 and O3 were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.