基于抗炎及抗氧化作用探讨微生态制剂在非酒精性脂肪肝模型大鼠中的应用价值

目的研究基于抗炎及抗氧化作用探讨微生态制剂在非酒精性脂肪肝(NAFLD)模型大鼠中的应用价值。方法选择成年雄性SD大鼠并随机分为对照组、NAFLD组、蓝莓益生菌(BP)组。后2组采用复合高脂饲料建立NAFLD模型,BP组给予蓝莓联合益生菌干预。比较3组间血清肝功能指标、炎症指标、氧化应激指标含量及肝脏组织中炎症及氧化应激信号分子表达的差异。结果 NAFLD组大鼠血清中ALT、AST、TNF-α、IL-1、IL-6、IL-18、MDA的含量及肝脏中p-p38MAPK、NF-κB的表达量明显高于对照组,血清中SOD、GPX的含量及肝脏中p-AMPK、Nrf-2的表达量明显低于对照组;BP组大鼠血清中ALT、AST、TNF-α、IL-1、IL-6、IL-18、MDA的含量及肝脏中p-p38MAPK、NF-κB的表达量明显低于NALFD组,血清中SOD、GPX的含量及肝脏中p-AMPK、Nrf-2的表达量明显高于NALFD组。结论蓝莓益生菌用于NALFD模型大鼠的干预能够改善肝功能并抑制炎症反应、氧化应激反应。     

新生期大鼠补充罗伊乳杆菌DSM 17938 对肠道菌群及肠道发育的影响

目的探讨新生期应用罗伊乳杆菌DSM 17938对大鼠肠道菌群的影响。方法 24只自然分娩出生的新生SD大鼠随机分为对照组和益生菌组(每组12只),益生菌组大鼠在生后2 d(PND2)开始予罗伊乳杆菌DSM 17938[1×10~6 CFU/(g·bw),1次/d]灌胃,至出生后第6天(PND6),对照组同期予等量生理盐水灌胃。PND7及PND42时,两组分别处死6只SD大鼠,留取空肠、结肠黏膜及其肠内容物标本,采用16S rDNA V4区二代测序法检测空肠、结肠菌群构成;采用Image Pro Plus 6.0测量空肠、结肠绒毛长度及隐窝深度。结果益生菌组和对照组大鼠的体质量增量差异无统计学意义(t值分别为0.410、0.856,均P0.05),PND42时两组大鼠空肠、结肠黏膜绒毛长度及隐窝深度差异均无统计学意义(t值分别为1.796、0.115、1.122和0.715,均P0.05),两组大鼠空肠和结肠菌群的α多样性及β多样性差异在PND7及PND42时差异均无统计学意义(均P0.05),不同组间的肠道菌群LEfSe分析显示PND7及PND42时益生菌组和对照组大鼠肠道菌群组成无差异。结论自然分娩出生的健康SD大鼠生命早期添加罗伊乳杆菌DSM 17938不影响生命早期、远期肠道菌群的总体组成及远期肠道上皮组织结构的发育。     

基于分级过滤的自然水体原核微生物群落分析

自然水体中微生物种类丰富,采集了上海周边的湖水、河水、海(岸)水、井水四类水体各两处样品,设计了含0.1μm终端截留孔径的半自动分级过滤装置分离富集不同粒径的水体微生物,使用原核微生物通用引物对16S rRNA基因V3+V4区扩增,高通量测序获得序列,对四类水体中的微生物群落进行比较分析,关注了能穿透0.22μm常规除菌过滤孔径的超微小微生物。结果显示水体环境主导了微生物的群落差异,河水与湖水中的群落总体接近,不同于海(岸)水和井水;海(岸)水和井水的微生物群落差异较大。0.1μm上截留的优势超微小微生物在河水与湖水样品中均为Proteobacteria门SAR11 clade目的Clade Ⅲ和Actinobacteria门Sporichthyaceae科HgcI clade,海(岸)水中为Proteobacteria门SAR11 clade目的Clade Ia和Nanoarchaeota门Woesearchaeia古菌,井水中为Nanoarchaeota门Woesearchaeia属古菌以及未定域或未分类的微生物。其中未定域的微生物16S rRNA基因在系统发育树上单独成簇,可能是古菌的一个新类型。本研究所使用的分级过滤装置显示了在发掘超微小微生物上的潜力。     

Overview of Strain Characterization in Relation to Serological and Molecular Detection of Citrus tristeza <i>Closterovirus</i>

Tristeza is a devastating viral disease in all the citrus growing countries throughout the world and has killed millions of citrus trees in severely affected orchards. The citrus species grafted on sour orange rootstock are affected by this disease. Predominantly, the sweet orange, grapefruit and lime trees grafted on sour orange exhibit severe symptoms like quick decline, vein clearing, pin holing, bark scaling and degeneration leading to variable symptoms. Symptomatic expression of Citrus tristeza virus (CTV) in different hosts has been attributed to virus isolates which are from severe to mild. Different serological and molecular assays have been deployed to differentiate the strains of CTV. Citrus tristeza virus is diversified towards its strains on the basis of biological, serological and molecular characterization. Phenotypic expression is due to genetic alteration and different molecular basis have now been adopted for strain differentiation. This review will give a brief idea about the different CTV isolates, their characterization based on nucleic acid and serological assays. Different methods along with salient features for strain characterization has also been reviewed. This review will also open the new aspects towards formulation of management strategies through different detection techniques.     

Revealing mechanism of Caulis Sargentodoxae for the treatment of ulcerative colitis based on network pharmacology approach

Objective: The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis (UC), but the mechanism remains unknown. The present study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approaches.Materials and methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to identify effective components. The ligand-based targets prediction was achieved through SwissTargetPrediction and TargetNet. UC-related targets were identified using Gene Expression Omnibus (GEO) data and DisGeNET. The common targets of disease and components were constructed and analyzed by PPI network. Lastly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses are used to explain the functions of these common targets. Components-Targets-Pathways network was visualized and analyzed to further reveal the connection between the components and targets.Results: Eight active components and 102 key targets were identified to play an important role in UC. These targets were related to regulation of protein serine/threonine kinase activity, positive regulation of cell motility, response to molecule of bacterial origin, response to toxic substance, ERK1 and ERK2 cascade, peptidyl-tyrosine modification, inositol lipid-mediated signaling, cellular response to drug, regulation of inflammatory response and leukocyte migration. Moreover, HIF-1 signaling pathway and PI3K-Akt signaling pathway were the key targets involved in UC-related signaling pathways.Conclusion: The eight active components of Caulis Sargentodoxae mainly play a therapeutic role for UC through synergistic regulation of HIF-1 signaling pathway and PI3K-Akt signaling pathway.     

Histone deacetylase 10, a potential epigenetic target for therapy

Histone deacetylase (HDAC) 10, a class II family, has been implicated in various tumors and non-tumor diseases, which makes the discovery of biological functions and novel inhibitors a fundamental endeavor. In cancers, HDAC10 plays crucial roles in regulating various cellular processes through its epigenetic functions or targeting some decisive molecular or signaling pathways. It also has potential clinical utility for targeting tumors and non-tumor diseases, such as renal cell carcinoma, prostate cancer, immunoglobulin A nephropathy (IgAN), intracerebral hemorrhage, human immunodeficiency virus (HIV) infection and schizophrenia. To date, relatively few studies have investigated HDAC10-specific inhibitors. Therefore, it is important to study the biological functions of HDAC10 for the future development of specific HDAC10 inhibitors. In this review, we analyzed the biological functions, mechanisms and inhibitors of HDAC10, which makes HDAC10 an appealing therapeutic target.     

Effects of long-term antibiotic treatment on mice urinary aromatic amino acid profiles

The gut microbiota–host co-metabolites are good indicators for representing the cross-talk between host and gut microbiota in a bi-direct manner. There is increasing evidence that levels of aromatic amino acids (AAAs) are associated with the alteration of intestinal microbial community though the effects of long-term microbial disturbance remain unclear. Here we monitored the gut microbiota composition and host–microbiota co-metabolites AAA profiles of mice after gentamicin and ceftriaxone treatments for nearly 4 months since their weaning to reveal the relationship between host and microbiome in long- term microbial disturbances. The study was performed employing targeted LC-MS measurement of AAA-related metabolites and 16S RNA sequence of mice cecal contents. The results showed obvious decreased gut microbial diversity and decreased Firmicutes/Bacteroidetes ratio in the cecal contents after long-term antibiotics treatment. The accumulated AAA (tyrosine, phenylalanine and tryptophan) and re-distribution of their downstreaming metabolites that produced under the existence of intestinal flora were found in mice treated with antibiotics for 4 months. Our results suggested that the long-term antibiotic treatment significantly changed the composition of the gut microbiota and destroyed the homeostasis in the intestinal metabolism. And the urinary AAA could be an indicator for exploring interactions between host and gut microbiota.     

Novel insights into the pathological mechanisms of metabolic related dyslipidemia

Due to the technological advances, it has been well-established that obesity is strongly correlated with various health problems. Among these problems, dyslipidemia is one of the most important concomitant symptoms under obese status which is the main driving force behind the pathological progression of cardio-metabolic disorder diseases. Importantly, the type of dyslipidemia, arising from concerted action of obesity, has been identified as “metabolic related dyslipidemia”, which is characterized by increased circulating levels of Low density lipoprotein cholesterol (LDL-C), Triglycerides (TG) accompanied by lower circulating levels of High density lipoprotein cholesterol (HDL-C). On the other hand, the metabolic related dyslipidemia is being verified as a vital link between obesity and hypertension, diabetes mellitus, and Cardiovascular disease (CVD). In this review, we summarized the current understanding of metabolic related dyslipidemia and the potential mechanisms which lead to the pathogenesis of obesity. Meanwhile, we also summarized the emerging results which focused on several novel lipid bio-markers in metabolic related dyslipidemia, such as pro-protein convertase subtilisin/kexin type 9 (PCSK9) and sphingosine-1-phosphate (S1P), and their potential use as biomarkers of metabolic related dyslipidemia.