1.Synthesis and antiangiogenic properties of 2-methoxestradiol-RGD peptide conjugates
Minhang XIN ; Hua XIANG ; Wenbo SI ; Wei ZHAO ; Hong XIAO ; Qidong YOU
Journal of China Pharmaceutical University 2011;42(3):198-205
A series of 2-methoxyestradiol (2-MeO-E2) RGD peptide conjugates with coupling RGD peptides to 3- position or 17-position of 2-MeO-E2 through space linker were synthesized. Their antiangiogenic properties were preliminarily evaluated by cell migration scratch assays against HUVECs. Compound 26c binding RGDV peptide showed the best inhibitory effect. In addition, all 2-MeO-E2 RGD peptide conjugates exhibited obvious activity. These results demonstrate that conjugates with RGD peptides represent a promising means for targeting angiogenesis in cancer therapy.
2.Classification tree model analysis on related factors of early renal damage in type 2 diabetic patients
Wenbo ZHAO ; Ming LI ; Hua TANG ; Xun LIU ; Meijun SI ; Hui PENG ; Tanqi LOU
Chinese Journal of Nephrology 2013;29(8):563-568
Objective To analyze the impact factors for early renal damage in type 2 diabetic patients by the classification tree model.Methods A total of 601 patients with type 2 diabetes were enrolled.According to glomerular filtration rates and urine albumin quantification,the patients were divided into type 2 diabetes group (418 cases) and early diabetic renal damage group (183 cases).The clinical data of the patients were recorded to analyze the main influential factors for the microalbuminuria of type 2 diabetic patients using the Exhaustive CHAID classification tree algorithm.Results Six important explanatory variables were screened out by the classification tree model from the 34 candidate variables related to early renal damage,including fibrinogen,history of hypertension,retinopathy,Cys C levels,SBP and peripheral neuropathy.Elevated fibrinogen was the main factor.Conclusion The classification tree model can analyze the major influential factors of early renal damage in type 2 diabetic patients effectively,and it can help develop the prevention and treatment methods.
3.Application of KDIGO classifcation of chronic kidney disease for analyzing the prevalence of kidney disease and other vascular diseases in 1645 type 2 diabetic patients
Ming LI ; Huiqing CHEN ; Wenbo ZHAO ; Xun LIU ; Meijun SI ; Hua TANG ; Tanqi LOU
Chinese Journal of Nephrology 2013;29(12):877-882
Objective To analyze the prevalence,risk factors of kidney disease in type 2 diabetic patients with KDIGO classification of chronic kidney disease,also to study cardiovascular and cerebrovascular diseases and death in these patients,so as to investigate the significance of the KDIGO classification system.Methods One thousand six hundred and forty-five type 2 diabetic patients who were in hospitalization from June 2008 to December 2012 were grouped according to the KDIGO classification of chronic kidney disease and the incidence of vascular disease was analyzed based on the classification.Clinical features were compared between patients with or without kidney disease.The risk factors of kidney disease and the death of diabetic patients were also investigated.Results There were 915 male and 730 female,aged a median (57.86±12.54) years with (6.35±6.30) years duration of diabetes mellitus among the 1645 cases,and 37.2% of patients had concomitant kidney disease.According to the classi fi cation of CKD,patients in CKD group 3a,group 3b and CKD group 4-5 accounted for 5.7%,3.5% and 7.6%,while 33.4% of patients had proteinuria,among which 19.5% with microalbuminuria,13.5% with macroalbuminuria.On complications,patients with hypertension accounted for 49.5%,hyperlipidemia 67.7%,diabetic retinopathy 27.4%,cardiovascular and cerebrovascular diseases 18.5% (coronary artery disease 16.5%,cerebrovascular diseases 8.8%).Statistical difference was detected in the incidence of diabetic retinopathy,coronary artery disease and cerebrovascular diseases between CKD group 3a and 3b (P < 0.05).The duration of diabetes,concomitant hypertention especially with elevated systolic blood pressure,diabetic retinopathy and hyperuricemia were the independent risk factors for type 2 diabetic patients with kidney disease.Age,Scr,complicating cardiovascular and cerebrovascular diseases and advanced CKD stage were the independent risk factors for the death of type 2 diabetic patients with kidney disease.Conclusion KDIGO classification of chronic kidney disease enables better staging of kidney diseases in diabetic patients for management and prognosis.Diabetic patients have a higher prevalence of renal diseases and cardiovascular and cerebrovascular events than the general population.Early control of factors such as blood pressure and serum uric acid can delay the progression of kidney disease,and the predictive role of diabetic retinopathy should be emphasized.
4.Genetic Characteristics of Coxsackievirus Group A Type 4 Isolated from Patients with Acute Flaccid Paralysis in Shaanxi, China.
Dongyan WANG ; Yi XU ; Yong ZHANG ; Shuangli ZHU ; Yuan SI ; Dongmei YAN ; Hui ZHU ; Qian YANG ; Tianjiao JI ; Wenbo XU
Chinese Journal of Virology 2016;32(2):145-149
We analyzed the genetic characteristics of coxsackievirus A4 (CV-A4) based on the entire VP1 coding region. Samples were isolated from patients with acute flaccid paralysis (AFP) in Shaanxi, China from 2006 to 2010. We wished to ascertain the predominant genotype and the relationship between CV-A4 infection and AFP. Sixty-eight non-polio enteroviruses were inoculated onto RD cells (to increase the virus titer) and molecular typing was undertaken. The entire VP1 coding region was amplified. Percentage of CV-A4 was 10.3% (7/68). Analyses of genetic identify and creation of phylogenetic trees revealed that CV-A4 could be classified into A, B and C genotypes. Seven CV-A4 strains from Shaanxi and other CV-A4 strains from China formed an independent evolution lineage located in group 4 and belonged to the C2 sub-genotype. These data suggested that CV-A4 strains of sub-genotype C2 were the predominant genotypes in China. These strains co-evolved and co-circulated with those from other provinces in China, so continued monitoring of CV-A4 (by clinical and genetic surveillance) should be enhanced.
China
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Enterovirus A, Human
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classification
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genetics
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isolation & purification
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Enterovirus Infections
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virology
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Genotype
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Humans
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Paralysis
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virology
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Phylogeny
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Viral Proteins
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genetics
5.Classification tree model analysis on related factors of different stages of kidney in type 1 diabetic patients
Wenbo ZHAO ; Meijun SI ; Huiqun LI ; Zhouqing GAN ; Tanqi LOU
Chinese Journal of Nephrology 2017;33(9):656-662
Objective To analyze the related factors of micro-albuminuria and macroalbuminuria in type 1 diabetes mellitus (DM) in the classification tree model,and to screen the high risk population of diabetic kidney disease.Methods 394 patients with type 1 diabetes were enrolled in the hospital from 2008 to 2015.According to glomerular filtration rates and urine albumin quantification,the patients were divided into type 1 diabetes group (299 cases),micro-albuminuria group (73 cases) and macro-albuminuria group (22 cases).The classification tree model was utilized to analyze related factors of the different stages of proteinuria,and the high-risk population was screened by node gain analysis.Results Four important explanatory variables were screened out by the classification tree model from the 27 candidate variables related to primary renal damage,including retinopathy,fibrinogen,waist-hip ratio (WHR),red blood cell distribution width (RDW).Retinopathy was an major factor of DKD.The probability of macro-albuminuria in retinopathy and WHR > 0.82 group was 43.8%,and if at the same time RDW > 0.14,the probability of macro-albuminuria was 88.9%.Conclusions The classification tree model can analyze factors of the separate stages of proteinuria in type 1 diabetic patients effectively.Retinopathy is the major influential factors of type 1 diabetic patients with proteinuria.
6. Comparative study on three methods of nucleic acid extraction and three kinds of real-time fluorescence quantitative PCR instrument
Qiuhua WU ; Yongjian ZHANG ; Zhen TIAN ; Hongdong LI ; Zheng LI ; Boyun SI ; Wenbo XU ; Songtao XU
Chinese Journal of Experimental and Clinical Virology 2017;31(2):165-168
Objective:
To explore the differences among three methods of nucleic acid extraction and three kinds of real-time fluorescence quantitative PCR instrument.
Methods:
Twenty-five respiratory virus nucleic acid and 25 enterovirus nucleic acid positive samples were with selected at random and nucleic acids were extracted by using three methods (method A, B, and C). The results among different methods were analyzed by randomized block design. 25 respiratory viral nucleic acid positive specimens and enterovirus nucleic acid positive samples were detected by using three kinds of real-time fluorescence quantitative PCR instrument (instrument A, B, and C). The results among different instruments were analyzed by randomized block design.
Results:
There was a significant difference among three methods of nucleic acid extraction in results(