scholarly journals Associations between dietary patterns and gene expression pattern in peripheral blood mononuclear cells: A cross-sectional study

2020 ◽  
Vol 30 (11) ◽  
pp. 2111-2122
Author(s):  
Jacob J. Christensen ◽  
Stine M. Ulven ◽  
Magne Thoresen ◽  
Kenneth Westerman ◽  
Kirsten B. Holven ◽  
...  
Keyword(s):  
Gene Expression ◽  
Peripheral Blood Mononuclear Cells ◽  
Dietary Patterns ◽  
Mononuclear Cells ◽  
Gene Expression Pattern ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Peripheral Blood Mononuclear ◽  
Cross Sectional ◽  
Blood Mononuclear Cells

scholarly journals Associations between dietary patterns and gene expression pattern in peripheral blood mononuclear cells: a cross-sectional study

2020 ◽  
Author(s):  
Jacob J. Christensen ◽  
Stine M. Ulven ◽  
Magne Thoresen ◽  
Kenneth Westerman ◽  
Kirsten B. Holven ◽  
...  
Keyword(s):  
Gene Expression ◽  
Network Analysis ◽  
Peripheral Blood Mononuclear Cells ◽  
Dietary Patterns ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Gene Clusters ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells

AbstractBackgroundDiet may alter gene expression in immune cells involved in cardio-metabolic disease susceptibility. However, we still lack a robust understanding of the association between diet and immune cell-related gene expression in humans.ObjectiveOur objective was to examine the associations between dietary patterns (DPs) and gene expression profiles in peripheral blood mononuclear cells (PBMCs) in a population of healthy, Norwegian adults.MethodsWe used factor analysis to define a posteriori DPs from food frequency questionnaire-based dietary assessment data. In addition, we derived interpretable features from microarray-based gene expression data (13 967 transcripts) using two algorithms: CIBERSORT for estimation of cell subtype proportions, and weighted gene co-expression network analysis (WGCNA) for cluster discovery. Finally, we associated DPs with either CIBERSORT-predicted PBMC leukocyte distribution or WGCNA gene clusters using linear regression models. All analyses were gender-stratified (n = 130 women and 105 men).ResultsWe detected three DPs that broadly reflected Western, Vegetarian, and Low carbohydrate diets. CIBERSORT-predicted percentage of monocytes associated strongly and negatively with the Vegetarian DP in both women and men. For women, the Vegetarian DP associated most strongly with a large gene cluster consisting of 600 genes mainly involved in regulation of DNA transcription. For men, the Western DP inversely associated most strongly with a smaller cluster of 36 genes mainly involved in regulation of metabolic and inflammatory processes. In subsequent protein-protein interaction network analysis, the most important driver genes within these WGCNA gene clusters seemed to physically interact in biological networks.ConclusionsDPs may affect percentage monocytes and regulation of key biological processes within the PBMC pool. Although the present findings are exploratory, our analysis pipeline serves a useful framework for studying the association between diet and gene expression.

scholarly journals Detection of Mycobacterium tuberculosis DNA in CD34+ peripheral blood mononuclear cells of Ugandan adults with latent infection: a cross-sectional and nested prospective study

2020 ◽  
Vol 3 ◽  
pp. 34 ◽  
Author(s):  
Jonathan Mayito ◽  
Irene Andia Biraro ◽  
Stephen T. Reece ◽  
Adrian R. Martineau ◽  
David P. Kateete
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Prospective Study ◽  
Mononuclear Cells ◽  
Cross Sectional Study ◽  
Hiv Positive ◽  
Sectional Study ◽  
Peripheral Blood Mononuclear ◽  
Cross Sectional ◽  
Blood Mononuclear Cells ◽  
Copy Gene

Background: Tuberculin skin test and interferon gamma release assay (IGRA) show limitations in diagnosing latent tuberculosis infection (LTBI) and poorly predict progression to active tuberculosis. This study will explore detection of Mycobacterium tuberculosis (M.tb) DNA in CD34+ peripheral blood mononuclear cells (PBMCs) as a biomarker for LTBI and monitoring chemoprophylaxis response. Methods: In a cross-sectional study, 120 household contacts (60 HIV positive and 60 HIV negative) will be recruited. Also, 10 patients with sputum positive pulmonary tuberculosis and 10 visitors from low incidence countries with no history of TB treatment will be recruited as positive and negative controls, respectively. Participants will donate 100 ml (50 ml for TB patients) of blood to isolate PBMCs using density gradient centrifugation. Isolated PBMCs will be separated into CD34+ and CD34- enriched cellular fractions. DNA from each fraction will be purified, quantified and subjected to droplet digital PCR targeting IS6110 (a M.tb Complex multi-copy gene) and rpoB, a single copy gene. Also, 4 ml of blood will be drawn for IGRA. In a nested prospective study, 60 HIV positive participants will be given 300 mg of Isoniazid Preventive Therapy (IPT) daily for six months, after which they will donate a second 100 ml blood sample that will be processed as described above. Data from the cross-sectional study will be analysed to determine the proportion of individuals in whom M.tb DNA is detectable in CD34+ and CD34- fractions and number of M.tb genomes present. Data from the prospective study will be analysed to compare the proportion of individuals with detectable M.tb DNA in CD34+ and CD34- fractions, and median M.tb genome copy number, post vs pre-IPT. Discussion: This study will determine whether detection of M.tb DNA in CD34+ PBMCs holds promise as a biomarker for LTBI and monitoring chemoprophylaxis response.

scholarly journals Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study

2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Annie Bouchard-Mercier ◽  
Ann-Marie Paradis ◽  
Iwona Rudkowska ◽  
Simone Lemieux ◽  
Patrick Couture ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dietary Patterns ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
Healthy Men
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