Objective To investigate the influence of high-fat diet on blood pressure and metabolism in Sprague-Dawley(SD) rats and its mechanism.Methods Forty male SD rats were randomly divided into 4 groups which were fed with a diet containing 53% calorie as fat(HF) or a normal diet(ND) for 5 or 10 weeks.Systolic blood pressure(SBP),body weight,abdominal adipose tissue,blood lipids,fasting insulin(FINS),and fasting plasma glucose(FPG) were measured after 5 and 10 weeks respectively.Results SBP of HF groups were higher than that of ND groups [HF5 vs.ND5,(105.506?4.634)mmHg vs.(100.060?4.773)mmHg,P

Objective To investigate the disease assessment and prognosis value of serum copeptin level in patients with acute cerebral infarction (ACI). Methods One hundred first diagnosed ACI patients were selected as ACI group. According to the National Institutes of Health stroke score (NIHSS), the ACI patients were divided into mild (NIHSS<7 scores), moderate (NIHSS 7-15 scores) and severe (NIHSS>15 scores). Sixty cases of healthy subjects were selected as control group. The serum copeptin level was measured by double antibody sandwich enzyme linked immunosorbent assay method in control group and ACI group (onset within 24 h). The NIHSS, Alberta stroke program early CT score (ASPECTS) and modified Rankin score (mRS) onset within 24 h and 14 d were evaluated in patients with ACI, and the mRS 90 d and 180 d after ACI were evaluated. The neurological impairment was assessed by mRS 180 d after ACI, mRS ≤ 2 scores was good prognosis, ≥ 3 scores was poor prognosis. The correlation was analyzed. Results Among the 100 patients with ACI, mild was in 52 cases, moderate in 34 cases, and severe in 14 cases; good prognosis was in 79 cases and poor prognosis in 21 cases. The serum copeptin levels within 24 h of ACI in mild, moderate and severe patients of ACI group were significantly higher than that in control group:(4.82 ± 1.25), (6.39 ± 2.21) and (9.28 ± 3.82) pmol/L vs. (1.95 ± 0.28) pmol/L. The serum copeptin level within 24 h of ACI in moderate patients was significantly higher than that in mild patients, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P<0.05). Within 24 h of ACI , the ASPECTS in moderate and severe patients were significantly lower than that in mild patients:(10.02 ± 2.10) and (6.24 ± 3.05) scores vs. (12.16 ± 0.84) scores, in severe patients was significantly lower than that in moderate patients, and there were statistical differences (P<0.05). The NIHSS in moderate and severe patients were significantly higher than that in mild patients:(10.68 ± 3.14) and (16.20 ± 4.26) scores vs. (4.35 ± 1.52) scores, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P<0.05). The serum copeptin levels within 24 h of ACI and NIHSS in each time point in good prognosis patients were significantly lower than those in poor prognosis patients:(3.52 ± 1.26) pmol/L vs. (8.68 ± 3.06) pmol/L and (5.68 ± 2.11) scores vs. (15.36 ± 3.25) scores, (4.85 ± 1.86) scores vs. (12.60 ± 3.89) scores, (3.68 ± 1.21) scores vs. (6.35 ± 2.96) scores, (2.16 ± 0.75) scores vs. (5.21 ±1.96) scores, and the ASPECTS within 24 h of ACI was significantly higher than that in poor prognosis patients:(11.38 ± 2.21) scores vs. (7.86 ± 2.49) scores, and there were statistical differences (P<0.05). The single factor Logistic regression analysis results showed that the age, ASPECTS, NIHSS and serum copeptin level were the influencing factors of severity of illness in patients with ACI (OR = 1.21, 5.36, 5.61 and 6.62;95%CI 0.99-1.39, 3.34-9.21, 2.86-7.52 and 1.38-12.64;P=0.04, 0.01, 0.01 and 0.00), and the influencing factors of poor prognosis (OR=1.32, 5.21, 4.86 and 6.82;95%CI 0.84-1.43, 3.52-8.39, 2.62-5.35 and 2.67-11.85;P=0.04, 0.01, 0.01 and 0.00). ROC analysis results showed that the area under curve of NIHSS, serum copeptin level and ASPECTS in predicting poor prognosis in patients with ACI were 0.926, 0.863 and 0.624. In the mild, moderate and severe patients, the serum copeptin level was negative correlated with ASPECTS ( r=-0.682,-0.594 and-0.572;P<0.01), and the serum copeptin level was positively correlated with NIHSS ( r = 0.652, 0.614 and 0.586; P<0.01). Conclusions The serum copeptin level in patients with ACI is significantly elevated. The serum copeptin level is positively correlated with neurologic impairment severity and prognosis in patients with ACI, and it has important significance in evaluating pathogenetic condition and prognosis.

Purpose To compare the CTPA image quality by using contrast agent with different concentration at different injection rate so as to provide suitable contrast agent injection for patients.Materials and Methods A total of 346 patients with suspected acute pulmonary embolism who required to undergo CTPA examination were randomly assigned to high (370 mgI/ml) and low (320 mgI/ml) concentration groups,and each group was further divided into six subgroups with different velocity (3.0,3.2,3.4,3.6,3.8 and 4.0 ml/s).The CT value of the main pulmonary artery,right pulmonary upper lobe artery and right lung under leaf posterior basal segmental artery was measured.Results In the high concentration group,there were no significant differences in pulmonary artery average CT value,noise,single to noise ratio (SNR) and contrast to noise ratio (CNR) among the subgroups with different velocity (P＞0.05).In the low concentration group,the difference was not statistically significant in pulmonary artery average CT value (P＞0.05) among the subgroups with different velocity;however,the noise,SNR and CNR of 3.0 ml/s subgroup had significant differences compared with other subgroups (P＜0.05).There was no significant difference in average CT value of pulmonary artery between the subgroups with the same velocity in the two concentration groups (P＞0.05).In addition,except that the noise,SNR and CNR of 3.0 ml/s subgroup showed significant differences with other subgroups either in high concentration group or in low concentration group (P＜0.05),there were no significant differences in the above-mentioned parameters among other subgroups with the same velocity in both groups (P＞0.05).Conclusion Compared with high concentration contrast agent,the image obtained by using low concentration contrast agent shows no difference in pulmonary artery average CT value but with low iodine flow and iodine flow rate,which can reduce the risks of contrast media induced nephropathy (CIN) and contrast agent extravasation.

Objective To investigate the dynamic changes of serum interleukin(IL)-18,IL-1β and copeptin in acute cerebral infarction(ACI),and analyze the relationship with the serious degree of ACI.Methods The levels of serum IL-18,IL-1β and copeptin were measured by Double-antibody sanduicb enzyme-linked immunosorbent assay(ELISA)in 83 patients with ACI who were admitted to the hospital within 24 h,and neurological impairment were evaluated by European stroke scale(ESS)at the 1st,3rd and 7th day respectively after hospitalization.At the same time,the patients with ACI were compared with 32 normal adults.Results The levels of serum IL-18,IL-1β and copeptin at the 1st,3rd and 7th day after hospitalization were(131.30±31.62),(168.30±28.12),(141.26±24.23)ng/L,(0.35±0.04),(0.82±0.10),(0.52±0.21)μ g/L,and(3.64±0.26),(4.18±0.53),(3.26±2.41)μ g/L respectively.There were significant differences among different times respectively(P＜0.05),furthermore they were higher than those in normal adults[(119.12±27.42)ng/L,(0.21±0.08)μ g/L,(2.63±0.23)μ g/L](P＜0.05).Univariate Logistic regression analysis showed that age,copeptin,IL-18,IL-1β and ESS score was the influencing factor in the serious degree of ACI.There was no significant difference in assessing the serious degree of ACI by receiver operating characteristic(ROC)curve between IL-18 and age,copeptin,IL-1 β,ESS score(P＞0.05).Conclusions The serum levels of IL-18,IL-1β and copeptin are increasing after ACI,indicating that the inflammatory and immune factors may be involved in the development process of ACI.The serum levels of IL-18,IL-1β and copeptin can reflect the serious degree of ACI.

To evaluate whether Shenfu injection (SFI) protects against cardiac myocyte injury induced by Fupian injection (FPI) in vitro.

Objective To explore the characteristics of intestinal Microbiota in T2DM patients by two molecular fingerprint technologies,and investigate the correlation of intestinal microbiota and T2DM,and evaluate the application value of two fin-gerprint technologies.Methods Fecal samples of 8 healthy groups and 7 diabetes patients were collected.Then the total DNA of gut microbiota was extracted.Through the analysis of products by two molecular fingerprints of ERIC-PCR and DGGE-PCR,ecological characteristics of diversity and similarity of gut microbiota were obtained in healthy groups and dia-betes patients.Results Compared to healthy groups,the number of bands and Shannon-Wiener index of gut microbiota in di-abetes patients was decreased but no statistical significance.The similarity in patients group was declining(P <0.05),and the construction of gut microbiota was inclined to differ.Two fingerprint technologies of ERIC and DGGE could directly re-flect the diversity of gut microbiota and were the modern molecular biological techniques without depending on cultivation. ERIC was simple and convenient,had a better reflection of microbial diversity,but gel band cutting and regarded asa proper approach with higher diffraction efficiency and excellent repetition to studysequencing couldn’t be performed since there were more influencing factors on the experiment.DGGE could better reflect the ecological characteristics such as microbial diversity and similarity,and selecting bands,gel band cutting and sequencing could be done.Conclusion The composition and construction of gut microbiota in diabetes patients were changed,which suggests the occurrence of the disease had the correlation with gut microbiota.ERIC and DGGE is regarded as a proper approach with higher diffraction efficiency and ex-cellent repetition to study intestinal microbiota,but also gel band cutting,sequencing,bacteria identification can be performed by DGGE,both can be used in combination.