Objective:To establish the quality standard of sinapine thiocyanate in Qingrehuashiyangyin granules by HPLC.Methods:HPLC was performed on Phenomenex C18 Column(250mm?4.6mm,5?m) with acetonitrile-0.08mol/L KH2PO4(15:85) as mobile phase.Flow rate was 1.0ml/min and detecting wave length was 326nm.Column temperature at 30℃.Results:The good linear relationship was obtained in the range of 0.3976--1.988?g(r=0.9998),and the average recovery was 99.0%.Conclusion:This method is simple,fast and accurate for the quality control of Qingrehuashiyangyin granules.

Objective To investigate the relationship between heart rate variability ( HRV) and chronic complications in pa-tients with type 2 diabetes mellitus (T2DM).Methods A total of 96 patients with T2DM was given chronic complication assessment . Demographic data were obtained .Diabetic retinopathy , diabetic kidney disease , diabetic peripheral neuropathy ( DPN) , and peripher-al artery disease ( PAD) were diagnosed according to international clinical classification .The parameters of HRV in the patients with diabetes and non-diabetes were examined with24 h Holter recorder .Results The HRV parameters of type 2 diabetic patients were significantly lower than those of non-diabetes ( P <0.05 ) .HRV time domain parameters [ standard deviation of normal RR intervals (SDNN), standard deviation of 5-minute mean RR intervals (SDANN), root mean square difference among successive RR normal in-tervals ( RMSSD) ] were especially impaired in diabetic patients with retinopathy compared to those without retinopathy .HRV parame-ters except low-to-high frequency ratio ( LF/HF) and MNN were lower in diabetic patients with kidney disease than those without kid-ney disease .HRV parameters were no significant difference between patients with or without PAD .Conclusions HRV of diabetic pa-tient is lower.Diabetic retinopathy and kidney disease impact on the HRV .

Protein phosphorylation is a ubiquitous protein post-translational modification, which plays an important role in cellular signaling systems underlying various physiological and pathological processes. Current in silico methods mainly focused on the prediction of phosphorylation sites, but rare methods considered whether a phosphorylation site is functional or not. Since functional phosphorylation sites are more valuable for further experimental research and a proportion of phosphorylation sites have no direct functional effects, the prediction of functional phosphorylation sites is quite necessary for this research area. Previous studies have shown that functional phosphorylation sites are more conserved than non-functional phosphorylation sites in evolution. Thus, in our method, we developed a web server by integrating existing phosphorylation site prediction methods, as well as both absolute and relative evolutionary conservation scores to predict the most likely functional phosphorylation sites. Using our method, we predicted the most likely functional sites of the human, rat and mouse proteomes and built a database for the predicted sites. By the analysis of overall prediction results, we demonstrated that protein phosphorylation plays an important role in all the enriched KEGG pathways. By the analysis of protein-specific prediction results, we demonstrated the usefulness of our method for individual protein studies. Our method would help to characterize the most likely functional phosphorylation sites for further studies in this research area.
Animals ; Cyclin-Dependent Kinase Inhibitor p27 ; metabolism ; Databases, Protein ; Humans ; Mice ; Phosphorylation ; Proteins ; metabolism ; Rats ; Software ; Tumor Suppressor Protein p53 ; metabolism

Objective:To observe the clinical efficiency, duration of action and adverse reactions of lip contour after local injection of type A botulinum toxin into the orbicularis oculi muscle.Methods:From March 2019 to June 2019, a total of 11 patients (6 males and 5 females, mean age 42.2 years) received superficial injection of botulinum toxin A in the orbicular muscle in our hospital. The change of lip thickness was assessed by Medicis lip fullness scale (MLFS) and the 3D structured light camera was used to collect and analyze the facial data. Pre- and post-treatment effects, duration of action and complications were evaluated.Results:Improvement of upper lip thickness was noted in 11 cases (100%). The average onset time after injection was 14.6 days and average effect maintenance time was 124.1 days. The height of the red lips ( Z=-2.940, P<0.05), the distance from the upper lip to the Ricketts line ( Z=-2.137, P<0.05) and nasolabial angle ( Z=-2.137, P<0.05) were significantly changed one month after the injection. No allergic reaction was observed, and the adverse reactions were mild and reversible. Conclusion:Local injection of botulinum toxin type A can achieve mild lip augmentation.

TSCI have dyskinesia and sensory disturbance that can cause various life-threaten complications. The patients with traumatic spinal cord injury (TSCI), seriously affecting the quality of life of patients. Based on the epidemiology of TSCI and domestic and foreign literatures as well as expert investigations, this expert consensus reviews the definition, injury classification, rehabilitation assessment, rehabilitation strategies and rehabilitation measures of TSCI so as to provide early standardized rehabilitation treatment methods for TSCI.

With the gradual maturity of sequencing technology, many microbiome studies have published, driving the emergence and advance of related analysis tools. R language is the widely used platform for microbiome data analysis for powerful functions. However, tens of thousands of R packages and numerous similar analysis tools have brought major challenges for many researchers to explore microbiome data. How to choose suitable, efficient, convenient, and easy-to-learn tools from the numerous R packages has become a problem for many microbiome researchers. We have organized 324 common R packages for microbiome analysis and classified them according to application categories (diversity, difference, biomarker, correlation and network, functional prediction, and others), which could help researchers quickly find relevant R packages for microbiome analysis. Furthermore, we systematically sorted the integrated R packages (phyloseq, microbiome, MicrobiomeAnalystR, Animalcules, microeco, and amplicon) for microbiome analysis, and summarized the advantages and limitations, which will help researchers choose the appropriate tools. Finally, we thoroughly reviewed the R packages for microbiome analysis, summarized most of the common analysis content in the microbiome, and formed the most suitable pipeline for microbiome analysis. This paper is accompanied by hundreds of examples with 10,000 lines codes in GitHub, which can help beginners to learn, also help analysts compare and test different tools. This paper systematically sorts the application of R in microbiome, providing an important theoretical basis and practical reference for the development of better microbiome tools in the future. All the code is available at GitHub github.com/taowenmicro/EasyMicrobiomeR.
Software ; Microbiota ; Sequence Analysis, DNA ; Language