ABSTRACT: Human gut microbiota in patients with traits of metabolic syndrome before and after Helichrysum italicum and Helichrysum arenarium infusions consumption
Project description:Helichrysum italicum (HI) is a Mediterranean plant with well-reported use in traditional medicine for a wide range of applications, related mostly to respiratory, digestive and dermatologic conditions. The health-beneficial potential of H. italicum has been supported by numerous in vitro and in vivo experiments, however, little is known about the global mechanism behind its pleiotropic activity. The aim of this study was to enhance the understanding of the potential biological processes induced in primary colon fibroblasts by HI infusion exposure for 6 h and 24 h, using a microarray-based transcriptome analysis. Altogether we identified 217 differentially expressed genes compared to non-treated cells, and only 8 were common to both treatments. Gene ontology analysis revealed that 24 h treatment with HI infusion altered the expression of genes involved in cytoskeleton rearrangement and cell growth, whereas pathway analysis further showed the importance of interleukin signaling and transcriptional regulation by TP53. For the 6 h treatment only the process of hemostasis appeared in the results of both analyses. With the careful evaluation of the role of individual genes represented in the enriched pathways and processes, we propose the main mode of HI action, which is wound healing. In addition to its indirect prevention of diseases resulting from impaired barrier integrity, HI also effects inflammation and metabolic processes directly.
Project description:High sugar consumption, as well as high-fat diet, is a known cause of obesity and metabolic syndrome. However, the synergistic effect of high-sugar and high-fat consumption rarely has been evaluated, especially in terms of transcriptional regulation. Therefore, we focused on the effect of high sugar consumption on hepatic transcriptional networks in normal and high fat-fed mice. C57BL/6J mice were divided into four groups and were provided either 23%(w/v) sugar solution or plain water with either high-fat or normal-fat diet for 10 weeks. As a result, high sugar consumption significantly altered lipid metabolism-related genes in normal fat-fed mice; however, in high fat-fed mice, high sugar consumption altered inflammation-responsive genes rather than lipid metabolism. After all, these modulations eventually increased lipid accumulation in the liver and caused systemic metabolic disturbances. These observations for the first time suggested that high sugar consumption along with high-fat diet could lead to the development of severe metabolic syndrome via altering hepatic transcriptional networks.
Project description:In this study, we examined the association of DNA methylation with metabolic traits in humans using adipose tissue samples from the Metabolic Syndrome in Men (METSIM) cohort. The METSIM cohort has been thoroughly characterized for longitudinal clinical data of metabolic traits including a 3-point oral glucose tolerance test, cardiovascular disorders, diabetes complications, drug and diet questionnaire, as well as high density genotyping, and genome-wide expression in adipose. We performed epigenome-wide association studies on clinical traits using reduced representation bisulfite sequencing data and identified 61 signifiant associations for metabolic syndrome traits, corresponding to 25 unique loci. These associations include previously known genes, FASN, RXRA, MSH2, and MSH6, as well as 22 loci harboring 18 new candidate genes for diabetes and obesity in humans.
Project description:The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because metabolic syndrome, which is characterized by several disorders, such as hypertension, increases the risk of lifestyle-related diseases. One approach is to focus on the pre-disease state, a state with high susceptibility before the disease onset, which is considered as the best period for preventive treatment. In order to detect the pre-disease state, we recently proposed mathematical theory called the dynamical network biomarker (DNB) theory based on the critical transition paradigm. Here, we investigated time-course gene expression profiles of a mouse model of metabolic syndrome using 64 whole-genome microarrays based on the DNB theory, and showed the detection of a pre-disease state before metabolic syndrome defined by characteristic behavior of 147 DNB genes. The results of our study demonstrating the existence of a notable pre-disease state before metabolic syndrome may help to design novel and effective therapeutic strategies for preventing metabolic syndrome, enabling just-in-time preemptive interventions.
2019-06-24 | GSE112653 | GEO
Project description:WMT improves patients with metabolic syndrome
Project description:Betel-nut consumption is the fourth most common addictive habit globally and there is good evidence linking the habit to obesity, type 2 diabetes (T2D) and the metabolic syndrome. The aim of our pilot study was to identify gene expression relevant to obesity, T2D and the metabolic syndrome using a genome-wide transcriptomic approach in a human monocyte cell line incubated with arecoline and its nitrosated products.
Project description:Identification of miRNAs in citrus reticulata exosomes；Identification of potential target genes of exosomal miRNAs in penicillium italicum； Comparison of differentially expressed genes between citrus exosome-treatedpenicillium italicum and wild type
Project description:Identification of miRNAs in citrus reticulata exosomes；Identification of potential target genes of exosomal miRNAs in penicillium italicum； Comparison of differentially expressed genes between citrus exosome-treatedpenicillium italicum and wild type
Project description:Identification of miRNAs in citrus reticulata exosomes；Identification of potential target genes of exosomal miRNAs in penicillium italicum； Comparison of differentially expressed genes between citrus exosome-treatedpenicillium italicum and wild type
