Athletemet
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ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
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:Primary outcome(s): Metagenomic analysis and Metabolome analysis of Intestinal flora before, 2weeks, 1months, 3months, 6months, 12months
| 2636430 | ecrin-mdr-crc
Project description:Focus Panel measurements of Serum microRNAs during different time points before and after strenous exercise in professional athletes, as well as Peripheral Artery Disease patients.
2018-07-26 | GSE117654 | GEO
Project description:HIV-1 elite controllers maintain undetectable levels of viral replication in the absence of antiretroviral therapy, but their underlying immunological and virological characteristics may vary. Here, we used a whole-genome transcriptional profiling approach to characterize gene expression signatures of CD4 T cells from an unselected cohort of elite controllers. In the majority of elite controllers, transcriptional profiles were similar to HAART-treated patients, while being different from HIV-1 negative persons. Yet, a smaller proportion of elite controllers showed an opposite gene expression pattern that was indistinguishable from HIV-1 negative persons, but different from HAART-treated individuals. Elite controllers with this gene expression signature had significantly higher CD4 T cell counts, smaller levels of HIV-1-specific CD8+ T cell responses and tended to have lower residual HIV-1 viremia as determined by ultra-sensitive single-digit PCR, but did not differ from other elite controllers in terms of HLA class I alleles, age or sex. Thus, these data identify a specific subgroup of elite controllers whose clinical, immunological and gene expression characteristics approximate those of HIV-1 negative persons.
2011-01-01 | GSE23879 | GEO
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: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-9191 | biostudies-arrayexpress
Project description:HIV-1 elite controllers maintain undetectable levels of viral replication in the absence of antiretroviral therapy, but their underlying immunological and virological characteristics may vary. Here, we used a whole-genome transcriptional profiling approach to characterize gene expression signatures of CD4 T cells from an unselected cohort of elite controllers. In the majority of elite controllers, transcriptional profiles were similar to HAART-treated patients, while being different from HIV-1 negative persons. Yet, a smaller proportion of elite controllers showed an opposite gene expression pattern that was indistinguishable from HIV-1 negative persons, but different from HAART-treated individuals. Elite controllers with this gene expression signature had significantly higher CD4 T cell counts, smaller levels of HIV-1-specific CD8+ T cell responses and tended to have lower residual HIV-1 viremia as determined by ultra-sensitive single-digit PCR, but did not differ from other elite controllers in terms of HLA class I alleles, age or sex. Thus, these data identify a specific subgroup of elite controllers whose clinical, immunological and gene expression characteristics approximate those of HIV-1 negative persons. PBMC from study persons were stained with monoclonal antibodies against CD3, CD4 and HLA-DR, and subsequently subjected to live sorting at 70 psi using an ARIA cell sorting device (Becton Dickinson) located in a specifically designated biosafety cabinet. Following mRNA extraction form the sorted cells (RNAeasy kit, Qiagen), whole genome transcriptional profiling was performed using WG-DASL microarrays (Illumina) according to standard protocols. We included an unselected cohort of elite controllers (n = 12) and two background populations of HIV-1 negative persons (n = 9) and HIV-1 infected persons effectively treated with HAART (n = 14). Four replicates were included in the study.
2011-01-01 | E-GEOD-23879 | biostudies-arrayexpress
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