Aim To explore the changes of protein expression pattern of myocardial tissues in mini-pig with coronary heart disease. Methods Based on the model of mini-pig with coronary heart disease,the total proteins of myocardial tissues from each group were separated by two dimensional gel electrophoresis (2-DE).Protein exeprssion pattern in normal and model group was contrasted by Image Master 2D Elite 6.01 analysis software. Then the different proteins were identified by MALDI-TOF-MS. Results Compared with normal group,14 proteins had been determined to change:13 proteins were up-regulated and 1 proteins specifically expressed in mini-pig myocardial tissues of the disease. With the search engine MASCOT,4 proteins including HSPA8 (Hsc70)protein,apolipoprotein A-Ⅳ(apoA-Ⅳ),albumin and desmin were identified.Conclusions These four proteins may play an important role in the occurrence and development of coronary heart disease. The result will be further validated by other biological methods.

Objective:To investigate whether the habenula takes part in the depressor effect of losartan.Methods:Arterial blood pressure,heart rate and the unit dischargings of habenular neurons in rat were recorded simultaneously.Results:Arterial blood pressure was apparently decreased by 10 mg/kg losartan intraperitoneally(ip),but heart rate did not change;63.64% (21/33) unit dischargings of habenular neurons was increased in the rate of discharges.Conclusion:The depressor effect of losartan (ip) may be involved in the excitation of habenular neurons by lsoartan(ip).

Objective To investigate the correlation of ankle-brachial index( ABI)., color doppler ultrasound spectrum and toe-brachial index (TBI) of lower extremity artery in diabetic patients. Methods ABI, TBI and color doppler ultrasound spectrum measurement were carried out on 109 lower extremity artery of 55 diabetic patients. Croups were assigned according to ABI and TBI values and the correlation of ABI and color doppler ultrasound spectrum as well as ABI and TBI. Results The changes of ABI and of color doppler ultrasound spectrum in Group A1(0.9

The radial support capacity of intravascular stent is usually evaluated by the planar compression or the radial compression methods. Based on FEM simulation, the planer and radial compression methods are compared, and the agreement of the evaluation for the radial support capacity between these two methods is found. Moreover, the planer compression method is used to study the geometric parameters' effect on the radial support capacity by numerical simulations and experiments. Results show that, at the beginning of the compression process, the radial support capacity is mainly influenced by the metal-to-artery surface ratio; at large compression rate, the radial support capacity will decrease sharply with the increment of post-expansion diameter and decrement of the thickness and metal-to-artery surface ratio. The results provide guidance to the design and test of stents.
Computer Simulation ; Models, Cardiovascular ; Prosthesis Design ; Software ; Stents

Objective To study the correlation between renal function and arterial stiffness of Uighur population over 35 years old in Xinjiang area. Methods From October 2007 to March 2010, four-stage stratified random sampling method was applied to collect a total of 4312 Uighur people over 35 years old in Urumqi, Karamay, Fukang, Turpan area, Hotan prefecture, Yili Kazak autonomous prefecture and Altai prefecture. The data of these 4312 general urban and rural Uygur residents were complete. Simplified MDRD formula was used to calculate the estimate glomerular filtration rate (eGFR). Arm-ankle pulse wave velocity (b-aPWV) of both sides was measured and the average value was used in correlation analysis with eCFR, and then the associated risk factors were adjusted. Results The eGFR was negatively correlated with b-aPWV (r=-0.174, P<0.01). Multiple linear regression showed that after adjusting some risk factors such as age, sex, body mass index, systolic blood pressure, diastolic blood pressure, waist circumference, hip circumference, uric acid, fasting blood glucose, total cholesterol, triglycerides, low density lipoprotein, eGFR was still negatively correlated with b-aPWV (P=0.012). Conclusions In Uygur population over 35 years old in Xinjiang, the glomerular filtration rate is negatively correlated with arterial stiffness.

Objective To construct a risk prediction score model for serious adverse event (SAE) after cardiac catheterization in patients with adult congenital heart disease (ACHD) and pulmonary hypertension (PH) and verify its predictive effect. Methods The patients with PH who underwent cardiac catheterization in Wuhan Asian Heart Hospital Affiliated to Wuhan University of Science and Technology from January 2018 to January 2022 were retrospectively collected. The patients were randomly divided into a model group and a validation group according to the order of admission. The model group was divided into a SAE group and a non-SAE group according to whether SAE occurred after the catheterization. The data of the two groups were compared, and the risk prediction score model was established according to the results of multivariate logistic regression analysis. The discrimination and calibration of the model were evaluated using the area under the receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test, respectively. Results A total of 758 patients were enrolled, including 240 (31.7%) males and 518 (68.3%) females, with a mean age of 43.1 (18.0-81.0) years. There were 530 patients in the model group (47 patients in the SAE group and 483 patients in the non-SAE group) and 228 patients in the validation group. Univariate analysis showed statistical differences in age, smoking history, valvular disease history, heart failure history, N-terminal pro-B-type natriuretic peptide, and other factors between the SAE and non-SAE groups (P<0.05). Multivariate analysis showed that age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, surgical general anesthesia, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients (P<0.05). The risk prediction score model had a total score of 0-139 points and patients who had a score>50 points were high-risk patients. Model validation results showed an area under the ROC curve of 0.937 (95%CI 0.897-0.976). Hosmer-Lemeshow goodness-of-fit test: χ2=3.847, P=0.797. Conclusion Age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, general anesthesia for surgery, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients. The risk prediction model based on these factors has a high predictive value and can be applied to the risk assessment of SAE after interventional therapy in ACHD-PH patients to help clinicians perform early intervention.

Metabolomics, which mainly studies the metabolite components of organisms, tissues, cells and their dynamic changes, is an emerging omics technology following genomics and proteomics. Metabolites are the final products of cellular regulation, and the concentration of metabolites is considered to be the ultimate response of a biological system to genetic or environmental changes. Secondary metabolites with chemical diversity are widely present in living organisms, thus accurate quantification of secondary metabolites through appropriate analytical platforms is an important task of metabolomics. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is the most commonly used method for the detection of metabolites, providing a basis for the wide application of plant secondary metabolites. This review summarizes the advances of using LC-MS/MS techniques for the detection of phytohormone, folic acid, flavonoids and other secondary metabolites.
Chromatography, Liquid/methods* ; Tandem Mass Spectrometry/methods* ; Metabolomics/methods* ; Plants ; Proteomics