1.Relative study of serum C-reactive protein level in patients with acute massive cerebral infarction with multiple organ dysfunction syndrome
Yanfang YANG ; Lijun REN ; De ZHANG ; Chunhong LIU ; Zibin ZHANG ; Qiang HAO ; Lihai CUI
Chinese Journal of Postgraduates of Medicine 2008;31(10):26-28
Objective To investigate the serum C-reactive protein (CRP) level in patients with acute cerebral infarction and acute massive cerebral infarction with multiple organ dysfunction syndrome (MODS),and analyze the clinical value of CRP. Methods The serum CRP level of 50 patients of control group and 50 patients of cerebral infarction admitted to hospital within 7 days (30 patients were admitted into acute cerebral infarction group and 20 patients into acute massive cerebral infarction with MODS group) were determined by immune scatter turbidimetry. Results (1)In cerebral infarction patients,serum CRP level in 48 cases(96%) was equal and over 5 mg/L.In control group,serum CRP level in 3 cases(6%) was equal and over 5 mg/L(P<0.0 5).(2)The level of serum CRP acute in cerebral infarction group and in acute massive cerebral infarction with MODS group increased significantly than that in control group (P<0.01).The level of serum CRP in acute massive cerebral infarction with MODS group increased significantly than that in acute cerebral infarction group.(3)When the level of CRP<25 mg/L,the incidence of MODS in patients with acute cerebral infarction was zero.When the level of CRP≥25 mg/L,the incidence of MODS increased gradually with the rise of CRP. Conclusions There is positive correlation between the serum level of CRP and the severity of acute cerebral infarction and the incidence of MODS.CRP is a useful marker in predicting the prognosis of acute massive cerebral infarction with MODS.
2.Ultra Performance Liquid Chromatography-Tandem Mass Spectrometric Method for Detection of Pork Peptide Biomarkers
Guangyun ZHOU ; Guiji WANG ; Haowei REN ; Qian LU ; Yan YANG ; Lihai GUO ; Ning LIU
Chinese Journal of Analytical Chemistry 2017;45(2):205-210
The samples of muscular tissue from pork,beef and lamb which were closely related in the genetic relationship were analyzed by ultra performance liquid chromatography-tandem mass spectrometric (UPLC-MS) technique.The specific peptide biomarkers of pig meat species were found and confirmed.Proteins from three pure meat samples were extracted and digested using trypsin,the digested proteins were identified by UPLC-triple time-of-flight (TOF)-MS,and the total ion chromatogram (TIC) was searched and analyzed against the UniProt database.Three high abundant homologous proteins of three species and 8 potential peptide biomarkers of pork were found.A multiple reaction monitoring (MRM) QTRAP-MS method was established to confirm the specificity of potential peptide biomarkers.As a result,five peptide biomarkers of pig species meat were confirmed,three of which were not reported.
3.Determination of a visco-hyperelastic material law based on dynamic tension test data.
Lihai REN ; Chengyue JIANG ; Yong CHEN ; Yuanzhi HU
Journal of Biomedical Engineering 2018;35(5):767-773
The objective of this study was to determine the visco-hyperelastic constitutive law of brain tissue under dynamic impacts. A method combined by finite element simulations and optimization algorithm was employed for the determination of material variables. Firstly, finite element simulations of brain tissue dynamic uniaxial tension, with a maximum stretch rate of 1.3 and strain rates of 30 s and 90 s , were developed referring to experimental data. Then, fitting errors between the engineering stress-strain curves predicted by simulations and experimental average curves were assigned as objective functions, and the multi-objective genetic algorithm was employed for the optimation solution. The results demonstrate that the brain tissue finite element models assigned with the novel obtained visco-hyperelastic material law could predict the brain tissue's dynamic mechanical characteristic well at different loading rates. Meanwhile, the novel material law could also be applied in the human head finite element models for the improvement of the biofidelity under dynamic impact loadings.