1.Development status among infants at ages of 0 to 36 months in Xiaoshan District
LI Qing ; ZHONG Bihua ; SUN Jiarui ; DAI Fengpo ; DING Yina ; MIAO Xiangqing ; FU Yaxian ; TU Yuyan ; TAN Wenjuan ; YU Yinfei
Journal of Preventive Medicine 2024;36(3):255-259
Objective:
To learn the status and influencing factors of development among infants at ages of 0 to 36 months in Xiaoshan District, Hangzhou City, so as to provide the reference for promoting healthy development of infants.
Methods:
Infants at ages of 0-36 months who underwent physical examination in Child Health Clinic of Xiaoshan District Community Health Service Center were selected in 2022. General data of infants and their mothers were collected through questionnaires, and the development status of infants was screened by Age and Stages Questionnaire (third edition). Factors affecting the development status were identified using a multivariable logistic regression model.
Results:
A total of 2 519 infants were investigated, including 1 339 males (53.16%) and 1 180 females (46.84%). There were 608 infants with abnormal development of at least one functional area of communication (CM), gross motor (GM), fine motor (FM), problems solving (CG) and personal-social (PS). The abnormal rate was 24.14%, and the abnormal rates of the above functional areas were 9.77%, 6.59%, 7.98%, 6.39% and 9.33%, respectively. Multivariable logistic regression analysis showed that gender (male, OR=1.563, 95%CI: 1.191-2.052), mother's childbearing age (≥35 years, OR=1.411, 95%CI: 1.001-1.988), mother's educational level (lower than junior college, OR=1.460, 95%CI: 1.116-1.912) were factors affecting abnormal development of CM; preterm birth (OR=2.323, 95%CI: 1.315-4.103) was factors affecting abnormal development of GM; gender (male, OR=1.654, 95%CI: 1.225-2.232) was factors affecting abnormal development of FM; gender (male, OR=1.511, 95%CI: 1.086-2.102) and mode of delivery (cesarean section, OR=1.460, 95%CI: 1.060-2.010) were factors affecting abnormal development of CG; gender (male, OR=1.340, 95%CI: 1.019-1.763) and birth weight (low birth weight, OR=1.985, 95%CI: 1.149-3.432) were factors affecting abnormal development of PS.
Conclusions
The rate of abnormal development among infants at ages of 0 to 36 months in Xiaoshan District is 24.14%. Gender, preterm birth, mode of delivery, birth weight, mother's childbearing age and mother's educational level could affect the development status of infants.
2.Purification of anti-HBcAg monoclonal antibodies using immobilized metal ion affinity chromatography.
Ji ZHU ; Yu YI ; Yinfei WU ; Keyin ZHU ; Jianfeng MEI ; Jianshu CHEN ; Guoqing YING
Chinese Journal of Biotechnology 2009;25(10):1572-1578
Anti-HBcAg monoclonal antibodies from mouse ascites were purified by using immobilized metal ion affinity chromatography. We optimized the conditions of sample loading and elution. The results showed that when the pH stepwise elution was used, the best solution for sample loading was 20 mmol/L phosphate buffer containing 0.5 mol/L sodium chloride at pH 8.0 and the mAb was eluted at pH 5.0. The purity of obtained mAb was more than 85% and recovery reached 80%. When the adsorbed proteins were eluted by using gradient elution of an imidazole, the best solution for loading condition was 20 mmolL phosphate buffer containing 5 mmol/L imidazole at pH 8.0. The purity and recovery of antibody were up to 95%.
Animals
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Antibodies, Monoclonal
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isolation & purification
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Chromatography, Affinity
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methods
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Chromatography, Ion Exchange
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methods
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Hepatitis B Core Antigens
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immunology
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Hydrogen-Ion Concentration
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Imidazoles
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chemistry
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Metals
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chemistry
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Mice
3.Chemical compositions of Mongolian medicine compound formula-Shudage-4 in rat serum
Shasha XIN ; Yinfei DU ; Yu DONG ; Tianming ZHANG ; Lu PENG
Journal of Beijing University of Traditional Chinese Medicine 2017;40(9):758-763
Objective To establish in vivo and in vitro the characteristic chromatograms of Mongolian medicine compound formula-Shudage-4,and affiliate and identify in vitro chemical compositions of Shudage-4 and its compositions in vivo absorbed into blood.Methods Wistar rats were intragastrically given Shudage-4 and its different single medicinal,and then serum samples were prepared and determined by using high performance liquid chromatography (HPLC).The HPLC characteristic chromatograms of in vitro samples of Shudage-4 and its different single medicinal and Shudage-4 medicated serum were established and analyzed.The chemical compositions in vitro of Shudage-4 and its compositions in vivo absorbed into blood after taken by rats were compared,affiliated and identified.Results There were totally 64 peaks found after analyzing in vitro HPLC characteristic chromatograms of Shudage-4.There were 23 chemical compositions absorbed into blood,and 17 in vitro ones absorbed directly into blood and 6 speculated as new metabolites.These 23 chemical compositions were all derived from different were derived from Gaoliangjiang (Rhizoma Alpiniae Officinarum,Galangal Rhizome),peak 14,from Muxiang (Radix Aucklandiae,Common Aucklandia Root) and peak 13,from Shichangpu (Rhizoma Acori Tatarinowii,Grassleaf Sweetflag Rhizome).The peaks 15,20,21 and 22 were derived from Gaoliangjiang,Muxiang and Shichangpu,peaks 6,10,17,18 and 19,from Gaoliangjiang and Shichangpu,peaks 7 and 16,from Gaoliangjiang and Muxiang,peak 11,from Muxiang and Shichangpu,and peaks 4,5,8 and 12,from the whole formula of Shudage-4,from which 7 chemical compositions were identified.Conclusion The chemical compositions and metabolites in blood may be the active principles of Shudage-4 with direct effects in vitro,which are derived respectively from different single medicinal in Shudage-4.
4.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
5.The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(4):719-728
Background/Aims:
Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China.
Methods:
A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators.
Results:
Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders.
Conclusions
In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.
6.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
7.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
8.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
9.Forecast of healthcare professionals quantity in China′s primary medical institutions :based on GM(1 ,1) Gray Model
Xiufang LU ; Chang YIN ; Xiaoyuan QU ; Yinfei WU ; Shuaijun YU ; Aitian YIN
Chinese Journal of Hospital Administration 2018;34(1):32-38
Objective To forecast the number of healthcare professionals at China′s primary medical institutions from 2016 to 2020 ,so as to provide the healthcare authorities with references for optimizing healthcare human resource allocation .Methods The Grey model was used to predict numbers of healthcare professionals in China from 2016 to 2020 on the base of health technicians data from 2010 to 2015 .Results The forecast results show that the number of healthcare professionals may be increased to about 600000 people a yearfrom 2015 to 2020 .The number of healthcare professionals at China′s primary medical institutions is expected to grow about 204000 people a year ,and general practitioner is increased to about 22000 people a year .The annual growth rates of medical(assistant) practitioners ,medical practitioners ,registered nurses ,pharmaceutical personnel and examiners in China are expected to be 3.20% ,2.81% ,6.88% ,1.53% and 2.16% respectively. The annual average growth rates of postgraduates ,undergraduates and junior college graduates are expected to be 16.95% ,12.08% and 5.46% respectively .Conclusions in the future ,the requirements for healthcare professionals at primary institutions will still be higher than demand in China ,with a gap to be filled and their professional makeup and academic title make to be optimized. Therefore greater efforts are required for their development to enhance their competence and professionalism ,with reasonable staffing of the human resources .
10.Interaction Between Variations in Dopamine D2 and Serotonin 2A Receptor is Associated with Short-Term Response to Antipsychotics in Schizophrenia.
Liansheng ZHAO ; Huijuan WANG ; Yamin ZHANG ; Jinxue WEI ; Peiyan NI ; Hongyan REN ; Gang LI ; Qiang WANG ; Gavin P REYNOLDS ; Weihua YUE ; Wei DENG ; Hao YAN ; Liwen TAN ; Qi CHEN ; Guigang YANG ; Tianlan LU ; Lifang WANG ; Fuquan ZHANG ; Jianli YANG ; Keqing LI ; Luxian LV ; Qingrong TAN ; Yinfei LI ; Hua YU ; Hongyan ZHANG ; Xin MA ; Fude YANG ; Lingjiang LI ; Chuanyue WANG ; Huiyao WANG ; Xiaojing LI ; Wanjun GUO ; Xun HU ; Yang TIAN ; Xiaohong MA ; Jeremy COID ; Dai ZHANG ; Chao CHEN ; Tao LI ; Chinese Antipsychotics Pharmacogenomics Consortium
Neuroscience Bulletin 2019;35(6):1102-1105