Project description:Endurance-trained athletes have high oxidative capacity, enhanced insulin sensitivity, and high intracellular lipid accumulation in muscle. These characteristics are likely due to altered gene expression levels in muscle. We used microarrays to detect gene expression profile in endurance-trained athlete skeletal muscle.

2020-07-31 | GSE155271 | GEO

Gene expression in peripheral blood leukocytes in young endurance athletes

Project description:Exercise is beneficial to human’s health, and many of the effects are mediated by changes in immune function. However, the mechanisms underpinning the immune-regulatory effect of exercise remain unclear. We used microarrays to assess the global gene expression in blood leukocytes in young endurance athletes and non-athlete controls, the differential gene expression between two groups was analzyed using bioinformatic methods and enriched biological processes and pathways were identified for up- and down-regulated genes in athletes.

2016-12-31 | GSE68072 | GEO

Integrating Metagenomics and Metabolomics to Study the Gut Microbiome and Host Relationships in Sports Across Different Energy Systems

Project description:This study explores the role of the gut microbiome in modulating host metabolism among Colombian athletes, comparing elite weightlifters (n = 16) and cyclists (n = 13) through integrative omics analysis. Fecal and plasma samples collected one month before an international event underwent metagenomic, metabolomic, and lipidomic profiling. Metagenomic analysis using bioBakery tools identified significant microbial pathways, including L-arginine biosynthesis III and fatty acid biosynthesis initiation (Figure 1). Key metabolic pathways were enriched in both athlete groups, such as phenylalanine, tyrosine, and tryptophan biosynthesis, arginine biosynthesis, and folate biosynthesis. Plasma metabolomics and lipidomics revealed distinct metabolic profiles and a separation between athlete types through multivariate models, with lipid-related pathways such as lipid droplet formation and glycolipid synthesis driving the differences. Notably, elevated carnitine, amino acid, and glycerolipid levels in weightlifters suggest energy system-specific metabolic adaptations. These findings underscore the complex relationship between gut microbiota composition and metabolic responses tailored to athletic demands, laying groundwork for personalized strategies to optimize performance. This research highlights the potential for targeted modulation of gut microbiota as a basis for tailored interventions to support specific energy demands in athletic disciplines.

2024-11-20 | MSV000096474 | MassIVE

Whole blood transcriptomics to define adaptive biochemical pathways of exercise during aging

Project description:The aim of the current study was to characterize the genetic adaptive pathways altered by exercise in veteran athletes and age-matched untrained individuals. Two groups of 50-60 year old males: competitive cyclists and untrained, minimally active individuals were examined. All participants completed an acut bout of submaximal endurance exercise and blood samples pre- and post-exercise were analyzed for gene expression changes utilizing genome-wide DNA microarray analysis. Our results indicate distinct differences in gene expression involving energy metabolism, lipids, insuling signaling and cardiovascular function between the two groups. These findings may lead to new insights into beneficial signaling pathways of healthy aging and help identify surrogate markers for monitoring exercise and training load. Blood samples from the control and athlete groups were analyzed at three time-points: T1 (before exercise); T2 (immediately after exercise) and T3 (24 hours after exercise). There were n = 4 samples in each of control and athlete group at T1 and T3; and n = 7 for control group and n = 8 for athlete group at T2. One athlete sample (Sample # 010201) at time - point T2 had a technical replicate.

2013-09-27 | E-GEOD-51216 | biostudies-arrayexpress

potential bacteriocin producing gut isolates

Project description:Bacteriocin-producing gut isolates, recovered from the faecal microbiome of Irish athletes

| PRJEB48530 | ENA

Morphine treatment induces distinct changes in the gut microbiome at day 3 post treatment

Project description:Opioids such as morphine have many beneficial properties as analgesics, however, opioids may induce multiple adverse gastrointestinal symptoms. We have recently demonstrated that morphine treatment results in significant disruption in gut barrier function leading to increased translocation of gut commensal bacteria. However, it is unclear how opioids modulate the gut homeostasis. By using a mouse model of morphine treatment, we studied effects of morphine treatment on gut microbiome. We characterized phylogenetic profiles of gut microbes, and found a significant shift in the gut microbiome and increase of pathogenic bacteria following morphine treatment when compared to placebo. In the present study, wild type mice (C57BL/6J) were implanted with placebo, morphine pellets subcutaneously. Fecal matter were taken for bacterial 16s rDNA sequencing analysis at day 3 post treatment. A scatter plot based on an unweighted UniFrac distance matrics obtained from the sequences at OTU level with 97% similarity showed a distinct clustering of the community composition between the morphine and placebo treated groups. By using the chao1 index to evaluate alpha diversity (that is diversity within a group) and using unweighted UniFrac distance to evaluate beta diversity (that is diversity between groups, comparing microbial community based on compositional structures), we found that morphine treatment results in a significant decrease in alpha diversity and shift in fecal microbiome at day 3 post treatment compared to placebo treatment. Taxonomical analysis showed that morphine treatment results in a significant increase of potential pathogenic bacteria. Our study shed light on effects of morphine on the gut microbiome, and its role in the gut homeostasis.

2018-04-16 | E-MTAB-5546 | biostudies-arrayexpress

Project description:Athlete Gut Microbiome Metagenomic Sequencing

| PRJNA472785 | ENA