Athletemet
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REPOSITORIES: ENA
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Project description:Low-carbohydrate diets enhance lipid metabolism and decrease reliance on glucose oxidation in athletes, but the associated gene expression patterns remain unclear. To provide mechanistic insight, we investigated the skeletal muscle transcriptome in elite ultra-endurance athletes habitually consuming a high-carbohydrate (HC, n=10, 33±6y, VO2max=63.4±6.2 mL O2•kg-1•min-1) or low-carbohydrate (LC, n=10, 34±7y, VO2max=64.7±3.7 mL O2•kg-1•min-1) diet. Skeletal muscle gene expression was measured at baseline (BL), immediately-post (H0), and 2h (H2) after 3h submaximal treadmill running. Exercise induced a coordinated but divergent expression pattern. LC had higher expression of genes associated with lipid metabolism, particularly at BL. At H2, gene expression patterns were associated with differential pathway activity, including inflammation/immunity, suggesting a diet-specific influence on early muscle recovery. These results indicate that a habitual ketogenic diet leads to differences in resting and exercise-induced skeletal muscle gene expression patterns, underlying our previous findings of differential fuel utilization during exercise in elite male ultra-endurance athletes.
2025-03-19 | GSE273041 | GEO
Project description:Immune dysregulation associated with respiratory illness in elite athletes
| PRJEB45648 | ENA
Project description:Thirteen elite handball athletes and 13 sedentary controls. Three timepoints were established: T0 (baseline conditions); T8 (after 8 weeks of supplementation); and T16 (after 8 weeks in the absence of supplementation). The dietary intervention consisted of the oral administration of one daily multivitamin/mineral complex capsule (Multicentrum® Pfizer, Barcelona, Spain) before exercise during the controlled dietary intervention period. Multivitamin/mineral complex intervention adherence/compliance was defined as the percentage of all of the supplement capsules ingested throughout the study period. The expressions of a total 112 of genes were evaluated by RT-qPCR analysis with the QuantStudioTM 12K Flex Real-Time PCR System. 78 genes were finally analized.
2019-11-23 | GSE140874 | GEO
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
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress
Project description:Primary outcome(s): Metagenomic analysis and Metabolome analysis of Intestinal flora before, 2weeks, 1months, 3months, 6months, 12months
| 2636430 | ecrin-mdr-crc