1.Research on the determination of molecular weight distribution and the peptide content of Ganlong capsule
Kaige NA ; Hongxia MAN ; Qiaoyun TAN ; Yongshou YANG ; Peiyun XIAO
Chinese Journal of Biochemical Pharmaceutics 2015;(3):159-161
Objective To establish the molecular weight distribution of Ganlong capsule by HPSEC the content of the peptide determined by Lowry and Methods The superdex peptide 10/300 GL (10 mm ×300 mm) column was used.The pH=6.0 and phosphate buffer of 0.05 mol/L was used as the mobile phase, containing 0.1 mol/L NaCl.The flow rate was set at 0.7 mL/min;The column temperature was 25℃;The detection wavelength was 214 nm.Results The content of the peptide ranged from 0.08 mg to 0.4 mg ( r =0.9996 ) .The RSDs of measurement precision of molecular weight and content were 0.08% and 0%(n=6), respectively.The RSDs of the repeatability were 1.3% and 1.1%(n=6);The regression equation of standard material was logMr =5.1455 -0.0871tR, r =0.9983,the relative molecular weight ranged from 2.68 ×102 Da ~5.73 ×103 Da(r =0.9983). Conclusion on The method is simple and rapid for determining the peptide content and the molecular weight distribution of Ganlong capsule.It can be used quality control method for Ganlong capsule.
2.The value of early changes in platelet counts in assessing the prognosis of aged patients with severe pneumonia
Jianfeng YU ; Tiewu TAN ; Yi ZHOU ; Qiaoyun YANG ; Jianhong JIANG ; Wenming LIU
Chinese Journal of Geriatrics 2018;37(11):1238-1242
Objective To explore the predictive value of early changes in platelet counts in the prognosis of severe pneumonia in aged patients.Methods This retrospective study included elderly patients with severe pneumonia,who were ≥65 years old and whose length of ICU stay ≥72 hours,admitted to the intensive care unit(ICU)of NO.2 People's Hospital of Changzhou from January 2014 to January 2017.They were divided into a survival group and a death group according to the 28-day outcome.General information and serum platelet levels at 0,24,36,and 72 hours after admission were collected.Receiver operating characteristic curve (ROC)was plotted according to platelet counts,changes in platelet counts and rates of change in platelet counts to evaluate their predictive value for 28-day prognosis.Kaplan-Meier survival curve was used to analyze the 28-day cumulative survival rate between different groups of patients,who were further divided according to platelet counts at 0 and 72 hours after admission to ICU,changes in platelet counts and rates of change in platelet counts at 72 hours after admission.Results (1)One hundred elderly patients with severe pneumonia were enrolled,among whom 41 cases were in the death group,thus with a mortality of 41.0%.The acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ),sequential organ failure assessment (SOFA),C-reactive protein (CRP),and procalcitonin(PCT)in the death group were significantly higher than those in the survival group.2)Serum platelet levels showed a downward trend in both the death group and the survival group.The level of serum platelets at 72 hours after admission to ICU in the death group was significantly lower than that in the survival group(80.00 × 109/L vs.171.00 × 109/L,Z=5.786,P<0.05);changes in platelet counts and rates of change in platelet counts in the death group were significantly higher than those in the survival group,especially at 72 hours after admission to ICU(/△PLT72:-79.00 × 109/L vs.-38.00 × 109/L,Z =4.938,P <0.05;△PLT 72%:43.6% vs.-17.7%,Z=6.816,P<0.05).(3)ROC curve analysis showed that platelet levels,changes in platelet counts,and rates of change in platelet counts could predict 28-day mortality in aged patients with severe pneumonia.The largest area under ROC curve was 0.902 when plotted with the rate of platelet counts at 72 hours after admission to ICU.Using the cut-off value of-36.14% in the rate of change at 72 hours after admission to evaluate the predictive value in 28 day mortality,the sensitivity and specificity were 89.8% and 75.6%,respectively.(4)Kaplan-Meier survival analysis showed that the 28 day survival rate was significantly higher and the length of survival was significantly greater when platelet counts at 0 and 72 hours after admission to ICU were higher than the cut-off value,and this also occurred in changes in platelet count and rates of change at 72 hours after admission to ICU.Conclusions Continuous decline in serum p[atelet levels indicates poor prognosis.When combined with platelet counts,changes in platelet counts and rates of change in platelet counts at 72 hours after admission to ICU,it may play an important role in assessing the prognosis of aged patients with severe pneumonia.
3.In vitro expression and analysis of the 826 human G protein-coupled receptors.
Xuechen LV ; Junlin LIU ; Qiaoyun SHI ; Qiwen TAN ; Dong WU ; John J SKINNER ; Angela L WALKER ; Lixia ZHAO ; Xiangxiang GU ; Na CHEN ; Lu XUE ; Pei SI ; Lu ZHANG ; Zeshi WANG ; Vsevolod KATRITCH ; Zhi-Jie LIU ; Raymond C STEVENS
Protein & Cell 2016;7(5):325-337
G protein-coupled receptors (GPCRs) are involved in all human physiological systems where they are responsible for transducing extracellular signals into cells. GPCRs signal in response to a diverse array of stimuli including light, hormones, and lipids, where these signals affect downstream cascades to impact both health and disease states. Yet, despite their importance as therapeutic targets, detailed molecular structures of only 30 GPCRs have been determined to date. A key challenge to their structure determination is adequate protein expression. Here we report the quantification of protein expression in an insect cell expression system for all 826 human GPCRs using two different fusion constructs. Expression characteristics are analyzed in aggregate and among each of the five distinct subfamilies. These data can be used to identify trends related to GPCR expression between different fusion constructs and between different GPCR families, and to prioritize lead candidates for future structure determination feasibility.
Animals
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Computational Biology
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Crystallography, X-Ray
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Gene Expression
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Humans
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Plasmids
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genetics
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metabolism
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Protein Domains
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Receptors, Adrenergic, beta-1
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Receptors, G-Protein-Coupled
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classification
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genetics
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metabolism
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Receptors, Odorant
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metabolism
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Receptors, Purinergic P1
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genetics
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metabolism
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Sf9 Cells
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Spodoptera