Specific detection of Lysobacter antibioticus strains in agricultural soil using PCR and real-time PCR.

Lysobacter antibioticus is an important biocontrol bacteria against phytopathogens in soil, and with the ability to produce nonvolatile antimicrobial metabolites has been extensively characterised. It is important to establish applicable techniques to detect and monitor L. antibioticus directly and accurately in soil samples. We developed and tested 13 primer sets according to phenazine gene (phzA, phzB, phzD, phzF, phzS) and the cyclohexanone monooxygenase gene (phzNO1); a pair of primer phzNO1 F1/phzNO1 R1 based on the cyclohexanone monooxygenase (phzNO1) gene of L. antibioticus strain OH13 was selected and optimized polymerase chain reaction (PCR) amplification conditions for rapid and accurate detection. After screening eight strains of L. antibioticus, two strains of Lysobacter enzymogenes, one strain of Lysobacter capsici, Arthrobacterium, Bacillus, Microbacterium, Burkholderia, Pseudomonas and other bacterial strains isolated from different agricultural soils, the phzNO1 F1/phzNO1 R1 primers amplified a single PCR band of about 229 bp from L. antibioticus. The detection sensitivity with primers phzNO1 F1/phzNO1 R1 was 5.14 × 104 fg/25µL of genomic DNA and 2.254 × 1010 to 2.254 × 1011 colony-forming units/mL for the soil samples. Quantitative PCR assays were to develope as a specific method to monitor the L. antibioticus population in soil as well as guide soil micro-ecological management.

Effects of S-1 Combined with Radiotherapy in the Treatment of Nasopharyngeal Cancer: A Meta-analysis Based on Randomized Controlled Trials.

The aim of this meta-analysis was to evaluate the effects and toxicity of S-1 combined with radiotherapy in the treatment of nasopharyngeal cancer (NPC). Through a search of the databases of PubMed, Embase, the Chinese Biomedicine Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang system and Chongqing VIP Information (CQVIP), the efficacy and side effects data of S-1 combined with radiotherapy in the treatment of NPC patients from open published randomized controlled trials (RCTs) were collected. The pooled complete response (CR), partial response (PR), objective response rate (ORR), 2-year survival rate and treatment related toxicity were analyzed by Stata12.0 software. Eight RCTs with 599 cases were included and analyzed in this meta-analysis. The general quality of the 8 studies were deemed as having moderate risk of bias. Adequate sequence generation was reported in 4 studies. Incomplete outcome data address was reported in 7 publications. Five studies indicated to be free of selective reporting. Seven studies reported the treatment complete response (CR) between S-1 combined with radiotherapy and radiotherapy alone. With significant heterogeneity, the data was pooled by random effect model. The pooled results indicated that S-1 combined with radiotherapy can significant increase the CR rate compared to radiotherapy alone (RR=1.52, 95%CI:1.33-1.74, P<0.05). Eight studies reported the partial response (PR) rate between the combined treatment and radiotherapy alone. The pooled results showed that there was no statistical difference for PR between combined treatment and radiotherapy alone (RR=0.85, 95%CI:0.62-1.16, P>0.05). For the effect size of objective response rate (ORR), pooled results indicated that S-1 combined with radiotherapy can significantly increased the ORR by random effect model (RR=1.39, 95%CI:1.23-1.57, P<0.05). The pooled results showed that S-1 combined with radiotherapy significant increase the risk of developing bone marrow suppression (RR=1.94, 95%CI:1.40-2.69, P<0.05) and gastrointestinal reaction (RR=1.81, 95%CI:1.38-2.38, P<0.05) with fixed effect model. However, the pooled oral mucositis (RR=1.22, 95%CI:0.99-1.50, P>0.05) and radiodermatitis (RR=0.93, 95%CI:0.77-1.12, P<0.05) were not statistically different. Two studies reported the 2-year survival rate between the two groups. The pooled results showed the combined treatment significantly increased the 2-year survival rate for patients with nasopharyngeal carcinoma (RR=1.14, 95%CI:1.01-1.28, P<0.05). The funnel plot demonstrated significant publication bias for complete response, partial response, objective response rate and oral mucositis. The egger's line regression test indicated significant publication bias for complete response (t=5.98, P=0.002) and objective response rate(t=6.23, P=0.003). Conclusion S-1 combined with radiotherapy can significant improve the clinical efficacy with more treatment related toxicity compared to radiotherapy alone in the treatment of nasopharyngeal carcinoma.

Potential molecular mechanism of the Xiexin capsule in the intervention of dyslipidemia based on bioinformatics and molecular docking / Posible mecanismo molecular de la cápsula Xiexin en la intervención de la dislipidemia basada en la bioinformática y el acoplamiento molecular

Objective: bioinformatic methods and molecular docking technology were used to predict the active components, targets, and related biological pathways of the Xiexin capsule in the intervention for dyslipidemia, exploring its mechanism. Methods: the active components and targets of the Xiexin capsule were screened by the TCMSP (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform )database. Genecards (The Human Gene Database), OMIM (Online Mendelian Inheritance in Man), PharmGkb (Pharmacogenomics Knowledge Base database), TTD (Therapeutic Target Database), and Drugbank platforms were used to search the disease targets of dyslipidemia. The Cytoscape 3.8.0 software was used to construct the 'component-target' network diagram, and the STRING (functional protein association networks) platform was used to analyze protein-protein interaction (PPI). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomics (KEGG) enrichment analyses were performed by R language data packets to predict the mechanism of action. The AutoDockVina and PyMol software were used to dock the key active components in the Xiexin capsule and the core proteins in PPI. Results: a total of 66 effective components were screened, involving 114 targets; 87 key active compounds were screened from the 'drug-component-target' diagram. The PPI network mainly involved core proteins such as PTGS2 (prostaglandin-endoperoxide synthase 2), PTGS1 (prostaglandin-endoperoxide synthase 1), and HSP90AA1 (heat shock protein 90 alpha family class A member 1). GO and KEGG enrichment analysis results of common targets mainly involved hormone-mediated signaling pathway, steroid hormone response, lipid transport and metabolism, regulation of cholesterol storage, cyclooxygenase pathway, and other biological pathways, as well asMM PPAR (peroxisome proliferators-activated receptor) signaling pathway, IL-17 (interleukin 17) signaling pathway (AU)

Objetivo: se utilizaron métodos bioinformáticos y técnicas de acoplamiento molecular para predecir los componentes efectivos, los objetivos y las vías biológicas relacionadas de la cápsula Xiexin en la intervención de la dislipidemia y explorar su mecanismo. Métodos: los componentes activos y los objetivos de la cápsula Xiexin fueron seleccionados por la base de datos TCMSP. Se utilizaron las plataformas Genecards, OMIM, PharmGkb, TTD (Therapeutic Target Database) y Drugbank para buscar las dianas de la enfermedad en la dislipidemia. El diagrama reticular “componente-diana” fue construido por el software Cytoscape 3.7.0, y la interacción proteína-proteína (PPI) fue analizada por la plataforma STRING. Los análisis de enriquecimiento de Gene Ontology (GO) y Kyoto Encyclopedia of Genes and Genomics (KEGG) se realizaron mediante paquetes de datos en lenguaje R para predecir el mecanismo de acción. El software AutoDockVina y PyMol se utilizó para unir los componentes activos clave de la cápsula Xiexin y las proteínas clave de la PPI. Resultados: se seleccionaron 65 componentes activos y 114 dianas. Veintitrés compuestos activos clave fueron seleccionados a partir de la tabla “componentes farmacéuticos-dianas”. Las redes PPI incluyen principalmente proteínas básicas como PTGS2, PTGS1 y HSP90AA1. Los resultados del análisis de enriquecimiento de GO y KEGG en los objetivos comunes se refieren principalmente a la vía de señalización mediada por esteroides, la respuesta hormonal esteroidea, el transporte y metabolismo lipídicos, la regulación del almacenamiento de colesterol, la vía de la ciclooxigenasa y otras vías biológicas, así como la vía de señalización de PPAR, la vía de señalización de IL-17, la vía de señalización de PI3K-Akt (AU)