Two animal models were established in this experiment to investigate the relationships between muscle damage and plasma activity of CK and its isoenzymes of rats after different modes of exercise.Model 1: untrained male Sprague-Dawley rats undertook swimming exercise of three different durations:25 minutes, 50 minutes and exhaustion. Model 2:after 2-week′s downhill running, male Wister rats undertook a 3-graded downhill running finally. Plasma and soleus muscle samples were taken to observe the changes of CK, CK isoenzymes and muscle damage. The linear correlation coefficients between plasma CK activity, CK-MM% and the Z-band abnormity rate of soleus muscle immediately after swimming in model 1 were 0.875 ( P

Objective To explore the clinical curative effect of theTaohong-Siwu decoction combined with manipulation in the treatment of the acute phase of lumbar disc herniation (LDH) and its effect on serum inflammatory factors.Methods According to the random number table method, 102 patients with the acute phase of LDH were divided into control group and research group from May 2014 to September 2016, 51 cases in each group. Patients in control group were treated by traction and non-steroidal anti-inflammatory drug for a month, while patients in research group were treated by manipulation combined withTaohong-Siwu decoction for a month. After treatment, the overall efficacy was observed. The Visual analogous scale (VAS) and JOA scores were recorded before and after the treatment. The IL-1β, IL-6 and TNF-α levels of inflammatory factors were detected by enzyme-linked immunosorbent assay.Results The total effective rate of patients in research roup was significantly higher than that of the control group [90.20％ (46/51)vs. 43.14％ (22/51),χ2=19.329, P=0.006]. After treatment, the VAS scores of patients in both groups were significantly decreased, and JOA score increased markedly, which the differences were statistically significant (Ps<0.05). After treatment, the VAS score of research group was significantly lower than the control group (4.26 ± 0.56vs. 5.13 ± 0.87;t=4.843, P=0.027), and JOA score was significantly higher than the control group (18.42 ± 3.92vs.17.33 ± 4.21;t=5.127, P=0.022). After treatment, the IL-1β, IL-6 and TNF-α levels of of patients in the research group were significantly lower than those of the control group (0.57 ± 0.11μg/Lvs. 0.90 ± 0.13μg/L, 112.26 ± 15.17μg/Lvs. 130.38 ± 18.29μg/L, 2.01 ± 0.34μg/Lvs. 2.37 ± 0.51μg/L;t=5.429, 6.317, 5.011,P<0.05). ConclusionsThe Taohong-Siwu decoction combined with manipulation on treatment of the acute phase of LDH was effective. The combined therapy can improve the VAS score and JOA score, and reduce the levels of inflammatory cytokines.

Objective To study the curative effects of jejunal exclusion surgery for STZ-induced T2DM SD rats.Methods 60 SD rats were induced to be the T2DM SD rats by intraperitoneal injection of streptozotocini.As a result,55 T2DM SD rats were successfully acquired which were randomly divided into 3 groups,20 rats in the jejunal exclusion group (A),20 rats in the sham operation group (B) and 15 rats in the control group (C).Jejunal exclusion surgery was performed in group A,jejunojejunostomy was performed in group B,and group C were fed normally.The body weight,fasting blood glucose,fasting plasma insuhn level and GLP-1 level were measured before operation and at the 1st,2rid,4th,8th and 16th week after operation.Results As compared with that before operation and that of the control group,the body weight in group A markedly declined at the 2nd,4th,8th and 16th week (352.14±9.00,342.84±8.90,336.64±10.26,330.34±9.12,P＜0.05).The fasting plasma glucose levels in group A markedly declined at the 2nd,4th,8th and 16th week (14.62±1.10,12.12±1.38,8.75± 1.06,7.55±1.00,P＜0.05).The fasting plasma insulin level in group A was maikedly increased at the 2nd,4th,8th and 16th week (14.62±3.10,16.12±3.38,17.75±4.06,17.55±3.10,P＜0.05).GLP-1 level in group A was markedly increased at the 1st,2nd,4th,8th and 16th week (11.02±0.85,14.42±1.18,16.02±1.59,17.62±1.02,18.12±0.71,P＜0.05).Conclusions The jejunal exclusion surgery is effective in controlling blood glucose,which is an ideal and lasting method.This surgery has also showed influence on body weight.

Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases. Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specific scoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively, demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%-42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.
Amino Acid Sequence ; Amino Acids ; metabolism ; Deep Learning ; Humans ; Internet ; Neural Networks (Computer) ; Nitrosation ; Proteins ; chemistry ; metabolism ; Reproducibility of Results ; Software