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RISS 인기검색어
- 검색키워드
- 저자 : Eve S. Wurtele (검색결과 3 건)
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Enhancement of Innate and Adaptive Immune Functions by Multiple Echinacea Species
Zili Zhai,Yi Liu,Lankun Wu,David S. Senchina,Eve S. Wurtele,Patricia A. Murphy,Marian L. Kohut,Joan E. Cunnick 한국식품영양과학회 2007 Journal of medicinal food Vol.10 No.3
Echinaceapreparations are commonly used as nonspecific immunomodulatory agents. Alcohol extracts fromthree widely used Echinaceaspecies, Echinacea angustifolia, Echinacea pallida, and Echinacea purpurea, were investigatedfor immunomodulating properties. The three Echinaceaspecies demonstrated a broad difference in concentrations of indi-vidual lipophilic amides and hydrophilic caffeic acid derivatives. Mice were gavaged once a day (for 7 days) with one of theEchinaceaextracts (130 mg/kg) or vehicle and immunized with sheep red blood cells (sRBC) 4 days prior to collection ofimmune cells for multiple immunological assays. The three herb extracts induced similar, but differential, changes in the per-centage of immune cell populations and their biological functions, including increased percentages of CD49. and CD19.lymphocytes in spleen and natural killer cell cytotoxicity. Antibody response to sRBC was significantly increased equally byextracts of all three Echinacea species. Concanavalin A-stimulated splenocytes from E. angustifolia- and E. pallida-treatedmice demonstrated significantly higher T cell proliferation. In addition, the Echinaceatreatment significantly altered the cy-tokine production by mitogen-stimulated splenic cells. The three herbal extracts significantly increased interferon-. produc-tion, but inhibited the release of tumor necrosis factor-. and interleukin (IL)-1.. Only E. angustifolia- and E. pallida-treatedmice demonstrated significantly higher production of IL-4 and increased IL-10 production. Taken together, these findingsdemonstrated that Echinaceais a wide-spectrum immunomodulator that modulates both innate and adaptive immune responses.In particular, E. angustifoliaor E. pallidamay have more anti-inflammatory potential.
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Feng, Yaping,Syrkin-Nikolau, Judith A.,Wurtele, Eve S. Korean Society for Bioinformatics 2013 Interdisciplinary Bio Central (IBC) Vol.5 No.1
High quality publicly-available transcriptomic data representing relationships in gene expression across a diverse set of biological conditions is used as a context network to explore transcriptomics of the CNS. The context network, 18367Hu-matrix, contains pairwise Pearson correlations for 22,215 human genes across18,637 human tissue samples1. To do this, we compute a network derived from biological samples from CNS cells and tissues, calculate clusters of co-expressed genes from this network, and compare the significance of these to clusters derived from the larger 18367Hu-matrix network. Sorting and visualization uses the publicly available software, MetaOmGraph (http://www.metnetdb.org/MetNet_MetaOm-Graph.htm). This identifies genes that characterize particular disease conditions. Specifically, differences in gene expression within and between two designations of glial cancer, astrocytoma and glioblastoma, are evaluated in the context of the broader network. Such gene groups, which we term outlier-networks, tease out abnormally expressed genes and the samples in which this expression occurs. This approach distinguishes 48 subnetworks of outlier genes associated with astrocytoma and glioblastoma. As a case study, we investigate the relationships among the genes of a small astrocytoma-only subnetwork. This astrocytoma-only subnetwork consists of SVEP1, IGF1, CHRNA3, and SPAG6. All of these genes are highly coexpressed in a single sample of anaplastic astrocytoma tumor (grade III) and a sample of juvenile pilocytic astrocytoma. Three of these genes are also associated with nicotine. This data lead us to formulate a testable hypothesis that this astrocytoma outlier-network provides a link between some gliomas/astrocytomas and nicotine.
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Kim, Taehyong,Dreher, Kate,Nilo-Poyanco, Ricardo,Lee, Insuk,Fiehn, Oliver,Lange, Bernd Markus,Nikolau, Basil J.,Sumner, Lloyd,Welti, Ruth,Wurtele, Eve S.,Rhee, Seung Y. American Society of Plant Biologists 2015 Plant Physiology Vol.167 No.4
<P><I>Global patterns of metabolic responses upon single gene perturbations are specific to gene functions, but they are coordinated with characteristics of the perturbed genes.</I></P><P>Metabolomics enables quantitative evaluation of metabolic changes caused by genetic or environmental perturbations. However, little is known about how perturbing a single gene changes the metabolic system as a whole and which network and functional properties are involved in this response. To answer this question, we investigated the metabolite profiles from 136 mutants with single gene perturbations of functionally diverse Arabidopsis (<I>Arabidopsis thaliana</I>) genes. Fewer than 10 metabolites were changed significantly relative to the wild type in most of the mutants, indicating that the metabolic network was robust to perturbations of single metabolic genes. These changed metabolites were closer to each other in a genome-scale metabolic network than expected by chance, supporting the notion that the genetic perturbations changed the network more locally than globally. Surprisingly, the changed metabolites were close to the perturbed reactions in only 30% of the mutants of the well-characterized genes. To determine the factors that contributed to the distance between the observed metabolic changes and the perturbation site in the network, we examined nine network and functional properties of the perturbed genes. Only the isozyme number affected the distance between the perturbed reactions and changed metabolites. This study revealed patterns of metabolic changes from large-scale gene perturbations and relationships between characteristics of the perturbed genes and metabolic changes.</P>
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