The ketogenic diet, a non-pharmacotherapy, simulates the state of fasting to induce the liver to metabolize fatty acids into ketones as fuel source. It also possesses anti-inflammatory effects and impacts the occurrence and progression of various diseases among which is polycystic ovary syndrome(PCOS). Ketogenic diet effectively manages body weight, improves ovarian function, regulates metabolic disorder, and enhances mental health. The growing body of evidence substantiates the safety and efficacy profile.

Objective To obtain the range of anatomical parameters of healthy knee joints in Chinese males and validate a statistical shape model(SSM)based on the geometric shape of a healthy knee to provide references for the design of knee SSM-based prostheses.Methods Computed tomography(CT)images of knee joints from 112 healthy males were acquired to build three-dimensional(3D)knee joint models.Each model was the target model separately,and the remaining models were used as the training set for principal component analysis(PCA).The obtained knee SSM was fitted to the target model to predict the SSM.The exact anatomical measurement points were marked on the sample and SSM prediction models,and 17 linear and 3 angular parameters were derived.The values of the anatomical parameters were statistically tested using an independent samples t-test and Mann-Whitney U-test,and the validity of the SSM in terms of geometric shape was demonstrated if the resulting P-values were all greater than 0.05.Results Qualitative and quantitative comparative analyses of anatomical parameters showed that the mean deviation of linear parameters was less than 6 mm,and that of angular parameters was less than 2.5°.The results of statistical tests showed P＞0.05 for all anatomical parameters,proving that the knee SSM prediction model was not statistically different from the true healthy model in terms of geometric shape.Conclusions This study derived a reference range of anatomical parameters for a healthy knee and demonstrated that the knee SSM model was consistent with the real healthy model in terms of shape.The results provide a reference for the design of knee SSM-based prostheses.

Chromatin immunoprecipitation sequencing (ChIP-seq) and the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) have become essential technologies to effectively measure protein–DNA interactions and chromatin accessibility. However, there is a need for a scalable and reproducible pipeline that incorporates proper normalization between samples, correction of copy number variations, and integration of new downstream analysis tools. Here we present Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis (CoBRA), a modularized computational workflow which quantifies ChIP-seq and ATAC-seq peak regions and performs unsupervised and supervised analyses. CoBRA provides a comprehensive state-of-the-art ChIP-seq and ATAC-seq analysis pipeline that can be used by scientists with limited computational experience. This enables researchers to gain rapid insight into protein–DNA interactions and chromatin accessibility through sample clustering, differential peak calling, motif enrichment, comparison of sites to a reference database, and pathway analysis. CoBRA is publicly available online at https://bitbucket. org/cfce/cobra.

Glutamine synthetase is a key enzyme in plant nitrogen assimilation. To study the structure of wheat glutamine synthetase isoenzymes, GS1, GSr, GSe, GS2 and GS2p of wheat were cloned into pET-21a, and the expression condition was optimized. Although wheat glutamine synthetase isoenzymes had 70%-80% amino acid sequence homology, the isoforms expressed with different characteristics. Induced at 30 °C, the most expression level of GSr, GSe and GS2 was after 3 h, and of GS1 was at the 7 h whereas no GS2p was expressed, and the GS isoenzymes showed different expression level, with the order of GS1 (22%)>GSr (15%)>GS2 (12%)>GSe (5%). GSe expressed as soluble protein, and GS1 expressed mainly as soluble protein whereas GSr and GS2 expressed as insoluble proteins. Induced at 30 °C for 3 h, mRNA transcript levels of GS isoforms were different, with the order of GSr (7.59)>GS2 (1.84)>GS2p (1.66)>GSe (1.46)>GS1 (1.00). The levels of mRNA transcription were not consistent with the level of the protein translation. The analysis of mRNA secondary structure showed the free energy of translation initiation region of glutamine synthetase isoforms was different, with the order of GS1 (14.4)GSr (13%)>GS2 (10%)>GSe (7%), and different activities with GS1>GSe>GS2, and the activity of GSr was not detected. The gene sequence of glutamine synthetase isoenzymes determines the amount, status and activity of proteins expressed in prokaryotic cells.