Objective:To analyze identification of copper death gene related subtypes,construction of prognosis model and influence of immune infiltration in osteosarcoma(OS)on basis of copper death gene.Methods:Survival and prognosis of OS associated copper death gene were analyzed combining by TARGET and GEO database.OS was divided into different subtypes of copper death by consistent clustering method.SSGSEA was used to analyze difference of immune cells in classification of copper death.Setting P value= 0.05 and q value=0.05,GO and KEGG enrichment analysis were performed on differential genes of copper death typing.Prognosis model was constructed according to results of Lasso regression analysis and cross validation,risk assessment analysis and ROC curve were used to evaluate accuracy of model prediction.Combined with clinical characteristics,nomograms were constructed to predict survival time of patients,and risk differences were analyzed.Immune cell infiltration and tumor microenvironment analysis were performed on OS samples."pRRophetic"package in R software was used to analyze drug sensitivity of OS samples.Results:FDX1,GLS,DLAT and PDHB as high-risk genes for OS prognosis were identified.According to copper death classification of OS samples,OS could be divided into two types:CRGclusterA and CRGclusterB.CRGclusterA was associated with Th2 cells,and CRGclusterB was associated with Th1 cells.Most OS copper death genes were highly expressed in CRGclusterA.Immune cell infiltration analysis results showed that γδ T cells,resting mast cells and resting dendritic cells were positively correlated with risk score,while CD8 T cells were negatively correlated with risk score.Drug sensitivity analysis showed that OS showed higher sensitivity to Elesclomol and GW.441756.Conclusion:Two subtypes of CRGclusterA and CRGclusterB are identified in this study.Four high-risk prognostic genes FDX1,GLS,DLAT and PDHB are identified,providing new insights into prognostic evaluation and immunotherapy target candidates for OS.

Objective:To study the common pathogenesis of gout and rheumatoid arthritis(RA)by bioinformatics analysis.Methods:Microarray expression profiles of peripheral blood mononuclear cells in gout and RA were obtained from the GEO public da-tabase.R language and other tools were used to re-annotates the chip,and then the differential genes(DEGs)of the two were screened and the intersection was taken.The protein-protein interaction(PPI)network and topology analysis of common differential genes(CO-DEGs)were constructed by STRING database and Cytoscape software(including CytoNCA plug-in).The HubGene was screened and validated by ROC curve.Finally,the DAVID online analysis tool was used to perform GO and KEGG functional enrichment analysis of HubGene.Results:There were 9 HubGene screened,they were TNF,RGS1,CD69,IL7R,DDX3X,SOCS3,IFIT1,IFIT3,CCL3.GO enrichment showed that HubGene was mainly involves the regulation of virus,STAT receptor signaling pathway and positive regu-lation of neuroinflammatory response.KEGG enrichment showed that HubGene was mainly involved in Toll like receptor signaling pathway,TNF signaling pathway,JAK-STAT signaling pathway,adipocytokine signaling pathway,RIG-Ⅰ-like receptor signaling pathway and osteoclast differentiation.Conclusion:Using bioinformatics analysis,nine HubGene and related signaling pathways in-volved in the pathogenesis of gout and RA have been identified,which may serve as novel biomarkers and potential targets.

Natural products, important sources of innovative drugs, food, spices and daily chemicals, are closely related to people's healthy life. With the development and integration of modern biological and chemical technologies of natural products, the researches on biosynthesis of natural products have made great progresses in recent years. The biosynthetic pathways of a number of natural products have been analyzed. Many pathway enzymes and modifying enzymes involved in the biosynthesis of natural products have been mined and functionally characterized. Furthermore, genes encoding pathway enzymes have been introduced into chassis to construct cell factories producing natural products through synthetic biology technologies. Also, other biotechnologies including genome editing and genome mining, have been used in the biosynthesis of natural products. In order to further promote the development of researches on biosynthesis of natural products, we edited a Special Issue on the topic of "biosynthesis of natural products", focusing on the researches progress in three aspects: the analysis of biosynthetic pathways of natural products, genome-wide mining and functional characterization of genes encoding tool enzymes, and the scale preparation of natural products by biosynthetic technology. Also included in this Special Issue was the prospect of the biosynthesis of natural products. This Special Issue can provide reference and guidance for the further development of natural product biosynthesis.
Biological Products ; Biosynthetic Pathways/genetics* ; Biotechnology ; Genome ; Synthetic Biology

Methyltransferases (MTs) constitute a large group of enzymes that catalyze the transfer of a methyl moiety, most frequently from S-adenosyl-L-methionine, to their substrates. It plays an essential role in regulation of gene expression and synthesis of many natural compounds. Owing to its broad substrate spectrum, MTs make important contributions to diversify the spectrum of products through methylation modifications. Recently, great progress has been made in application of MTs for the biosynthesis of various natural products including phenylpropane compounds, fragrances, hormones and antibiotics, which is summarized in this review. Moreover, we highlighted the strategies of using MTs for efficient production and for expanding the diversity of these methylated natural products, and discussed the current challenges and future prospects in this area.
Biological Products ; Methylation ; Methyltransferases/metabolism*

Objective:To evaluate the accuracy of pRIFLE criterion and KDIGO criterion for the diagnosis of acute kidney injury (AKI) after radical operations for tetralogy of Fallot in children from the perspective of postoperative outcomes.Methods:A total of 375 children, aged<8 yr, undergoing radical operations for tetralogy of Fallot, were selected continuously and retrospectively. According to the pRIFLE and KDIGO diagnostic criteria, postoperative AKI was diagnosed, and the children were classified into different AKI grades. The prognostic parameters (postoperative mechanical ventilation time, duration of intensive care unit (ICU) stay, postoperative length of hospital stay, total costs of hospitalization, and in-hospital mortality, etc.) were collected, and the differences among different AKI grades were compared. Logistic regression method was used to analyze the risk factors for prolonged postoperative length of hospital stay (≥14 days) when two different criteria were used to diagnose AKI. The children diagnosed as non-AKI by KDIGO criterion were further confirmed using pRIFLE criterion, and the prognostic parameters in the children who were diagnosed as AKI and non-AKI were compared.Results:When two different criteria were used to diagnose AKI after radical resection for tetralogy of Fallot, the incidence was 56.8% (pRIFLE criterion) and 40.0% (KDIGO criterion). AKI diagnosed according to the two criteria was the independent risk factor for prolonged postoperative length of hospital stay, and the levels of all the prognostic parameters (postoperative mechanical ventilation time, duration of ICU stay, postoperative length of hospital stay, total costs of hospitalization, and in-hospital mortality) were significantly higher in AKI children than in non-AKI (AKI grade 0) children ( P<0.01). Among the 225 children diagnosed as non-AKI according to the KDIGO criterion, 63 cases were diagnosed as AKI and 162 cases as non-AKI according to the pRIFLE criterion, however, there was no significant difference in each prognostic parameter between children with AKI and non-AKI ( P>0.05). Conclusion:The pRIFLE criterion has a higher sensitivity, while the KDIGO criterion produces better accuracy when used to evaluate the diagnosis of AKI after radical operation for tetralogy of Fallot in children from the perspective of postoperative outcomes.

Environmental protection and energy supply are our two major concerns. Greenhouse gases released from energy consumption have serious impact on the environment. CO₂ fixation can be used to convert CO₂ into fuels or chemicals. However, natural carbon-fixing organisms usually have some disadvantages such as slow growth and low carbon fixation efficiency. Enhancing or remodeling CO₂ fixation pathways in model microorganisms can realize CO₂ recycling, which can further increase fuel or chemical production and reduce greenhouse gas emission. This review describes in detail metabolic engineering of CO₂ fixation pathways to improve chemical production and sugar synthesis, elaborates the role of relevant metabolic pathways and key enzymes in CO₂ fixation, introduces the application of electro-biochemical synthesis system, shows the great potential of CO₂ fixation, and prospects the future research direction of CO₂ fixation.
Carbon Cycle ; Carbon Dioxide ; Heterotrophic Processes ; Metabolic Engineering ; Metabolic Networks and Pathways

As a major factor in determining performances of the electrochemical super capacitor, electrode materials have received wide attentions recently. Bacteria, with their advantages of low cost, abundance, environmental protection and easy to get from nature, have become the promising biomaterials. The composite electrode materials based on bacteria or their related products, have the advantages of large specific surface area, good cycle stability and high capacitance, and become the research focus in the field of super capacitor electrode materials. Herein, the characteristics and related technology of different bacteria on the preparation of electrode materials for super capacitor were summarized. This review systematically elaborates the latest research progress of bacterial composite electrode materials. Moreover, the prospect of super capacitors has been discussed.

To facilitate noninvasive diagnosis of anemia, high-performance and portable near infrared (NIR) spectrometer for human blood constituents was designed and fabricated based on linear variable filter (LVF).Meanwhile, the performance of support vector regression (SVR) model for quantitative analysis of human hemoglobin (Hb) was investigated.Spectral data were collected noninvasively from 100 volunteers by self-designed LVF-NIR spectrometer, then divided into calibration set, validation set 1 and 2.To establish a robust SVR model, grid search method was applied to optimize the penalty parameter and kernel function parameter c=5.28, g=0.33.Then, Hb levels in the validation 1 and 2 sets were quantitatively analyzed.The results showed that the root mean square error of prediction (RMSEP) were 10.20 g/L and 10.85 g/L, respectively, and the relative RMSEP (R-RMSEP) were 6.85% and 7.48%, respectively.The results indicated that the SVR model had high prediction accuracy to Hb level and adaptability to different samples, and could satisfy the requirements of clinical measurement.Based on the SVR algorithm, the self-designed LVF-NIR spectrometer has a wide application prospect in the field of non-invasive anemia diagnosis.

As the components of proteoglycans, glycosaminoglycans (GAGs) are linear polysaccharides consisting of hexose and uronic acid units linked by β-1,3-glycosidic bond. GAGs mainly distribute in extracellular matrix and on cell surfaces. They guide many biological processes, such as proliferation of cells, transmission of signals and mediation of inflammation. Because of their large molecular weights, GAGs have limited biological functions in vitro. However, the appearance of chondroitinase ABC (ChSase ABC), which can lyse polysaccharides, solves the difficulties. Based on our work, we summarized the classification and the crystal structure of ChSase ABC, as well as other recent research progress on ChSase ABCs. The separation and purification methods of ChSase ABC and construction of engineering bacteria are illustrated. The stability and immobilization are also analyzed by taking account of the characterization of ChSase ABC. Finally, problems and future prospect of the ChSase ABC study are summarized.
Bacteria ; Chondroitin ABC Lyase ; chemistry ; Extracellular Matrix ; chemistry ; Glycosaminoglycans ; chemistry ; Proteoglycans ; chemistry

Aim To investigate the effect of iontophoresis on skin permeation of defibrase. Methods Iontophoresis was carried out in side-by-side chambers, excised rat skin membrane (RSM) or human epidermis membrane (HEM). The effects of electrode polarity, permeation medium pH and ionic strength were evaluated. Results Permeation of defibrase caused by anodal iontophoresis was more effective [the apparent permeability coefficient was (1.2±0.4)×10-4 cm·h-1] than that of cathodal iontophoresis[(4.3±1.4)×10-5 cm·h-1]. The amount of permeated defibrase caused by anodal iontophoresis in pH 7.4 medium was (25±5)×10-14 mol·cm-2, which was higher than that of in pH 6.4 permeation medium [(15±4)×10-14 mol·cm-2]. Conclusion Iontophoresis could enhance skin permeation of defibrase. Electroosmotic flow effect played an important role.