Summary of Study ST003710
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002303. The data can be accessed directly via it's Project DOI: 10.21228/M8XZ66 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST003710 |
| Study Title | Integrating Metagenomics and Metabolomics to Study the Gut Microbiome and Host Relationships in Sports Across Different Energy Systems |
| Study Summary | This study explored the role of the gut microbiome in modulating host metabolism among Colombian athletes by 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 via bioBakery tools revealed significant microbial pathways, including L-arginine biosynthesis III and fatty acid biosynthesis initiation. Key metabolic pathways, such as phenylalanine, tyrosine, and tryptophan biosynthesis; arginine biosynthesis; and folate biosynthesis, were enriched in both athlete groups. 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 the gut microbiota composition and metabolic responses tailored to athletic demands, laying the groundwork for personalized strategies to optimize performance. This research highlights the potential for targeted modulation of the gut microbiota as a basis for tailored interventions to support specific energy demands in athletic disciplines. |
| Institute | Universidad del Rosario |
| Last Name | Aya |
| First Name | Viviana |
| Address | calle 13 a sur # 7a 28, Bogota, Bogota, 110411, Colombia |
| jeimmy.aya@urosario.edu.co | |
| Phone | 3143055382 |
| Submit Date | 2025-01-29 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-02-28 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002303 |
| Project DOI: | doi: 10.21228/M8XZ66 |
| Project Title: | Integrating Metagenomics and Metabolomics to Study the Gut Microbiome and Host Relationships in Sports Across Different Energy Systems |
| Project Summary: | This study explored the role of the gut microbiome in modulating host metabolism among Colombian athletes by 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 via bioBakery tools revealed significant microbial pathways, including L-arginine biosynthesis III and fatty acid biosynthesis initiation. Key metabolic pathways, such as phenylalanine, tyrosine, and tryptophan biosynthesis; arginine biosynthesis; and folate biosynthesis, were enriched in both athlete groups. 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 the gut microbiota composition and metabolic responses tailored to athletic demands, laying the groundwork for personalized strategies to optimize performance. This research highlights the potential for targeted modulation of the gut microbiota as a basis for tailored interventions to support specific energy demands in athletic disciplines. |
| Institute: | Universidad del Rosario |
| Last Name: | Aya |
| First Name: | Viviana |
| Address: | calle 13 a sur # 7a 28, Bogota, Bogota, 110411, Colombia |
| Email: | jeimmy.aya@urosario.edu.co |
| Phone: | 3143055382 |
Subject:
| Subject ID: | SU003842 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Age Or Age Range: | 20-45 |
| Weight Or Weight Range: | 60-85 kg |
| Height Or Height Range: | 159-175 cm |
| Gender: | Male and female |
| Human Lifestyle Factors: | Athletes |
| Human Medications: | NO |
| Human Prescription Otc: | NO |
| Human Smoking Status: | NO |
| Human Alcohol Drug Use: | NO |
| Human Nutrition: | Sports nutrition |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Treatment |
|---|---|---|
| SA406494 | GM(+)-LC-23M004-G2_030 | Cyclist |
| SA406495 | GM(+)-LC-23M004-G2_029 | Cyclist |
| SA406496 | GM(+)-LC-23M004-G2_028 | Cyclist |
| SA406497 | GM(+)-LC-23M004-G2_027 | Cyclist |
| SA406498 | GM(+)-LC-23M004-G2_026 | Cyclist |
| SA406499 | GM(+)-LC-23M004-G2_025 | Cyclist |
| SA406500 | GM(+)-LC-23M004-G2_024 | Cyclist |
| SA406501 | GM(+)-LC-23M004-G2_023 | Cyclist |
| SA406502 | GM(+)-LC-23M004-G2_022 | Cyclist |
| SA406503 | GM(+)-LC-23M004-G2_021 | Cyclist |
| SA406504 | GM(+)-LC-23M004-G2_020 | Cyclist |
| SA406505 | GM(+)-LC-23M004-G2_019 | Cyclist |
| SA406506 | GM(+)-LC-23M004-G2_018 | Cyclist |
| SA406507 | GM(+)-LC-23M004-G2_017 | Cyclist |
| SA406508 | GM(+)-LC-23M004-QC19 | Quality control |
| SA406509 | GM(+)-LC-23M004-QC20 | Quality control |
| SA406510 | GM(+)-LC-23M004-QC13 | Quality control |
| SA406511 | GM(+)-LC-23M004-QC15 | Quality control |
| SA406512 | GM(+)-LC-23M004-QC18 | Quality control |
| SA406513 | GM(+)-LC-23M004-QC17 | Quality control |
| SA406514 | GM(+)-LC-23M004-QC10 | Quality control |
| SA406515 | GM(+)-LC-23M004-QC11 | Quality control |
| SA406516 | GM(+)-LC-23M004-QC12 | Quality control |
| SA406517 | GM(+)-LC-23M004-QC16 | Quality control |
| SA406518 | GM(+)-LC-23M004-QC14 | Quality control |
| SA406519 | GM(+)-LC-23M004-G1_044 | Weightlifter |
| SA406520 | GM(+)-LC-23M004-G1_016 | Weightlifter |
| SA406521 | GM(+)-LC-23M004-G1_015 | Weightlifter |
| SA406522 | GM(+)-LC-23M004-G1_014 | Weightlifter |
| SA406523 | GM(+)-LC-23M004-G1_013 | Weightlifter |
| SA406524 | GM(+)-LC-23M004-G1_012 | Weightlifter |
| SA406525 | GM(+)-LC-23M004-G1_007 | Weightlifter |
| SA406526 | GM(+)-LC-23M004-G1_008 | Weightlifter |
| SA406527 | GM(+)-LC-23M004-G1_001 | Weightlifter |
| SA406528 | GM(+)-LC-23M004-G1_002 | Weightlifter |
| SA406529 | GM(+)-LC-23M004-G1_003 | Weightlifter |
| SA406530 | GM(+)-LC-23M004-G1_004 | Weightlifter |
| SA406531 | GM(+)-LC-23M004-G1_005 | Weightlifter |
| SA406532 | GM(+)-LC-23M004-G1_006 | Weightlifter |
| SA406533 | GM(+)-LC-23M004-G1_010 | Weightlifter |
| SA406534 | GM(+)-LC-23M004-G1_009 | Weightlifter |
| SA406535 | GM(+)-LC-23M004-G1_011 | Weightlifter |
| Showing results 1 to 42 of 42 |
Collection:
| Collection ID: | CO003835 |
| Collection Summary: | Sample Collection Participants included elite Colombian athletes divided into two groups: weightlifters (WA; n = 17) and cyclists (CA; n = 14), recruited from professional leagues and measured one month prior to an international competition. Inclusion criteria encompassed athletes’ professional status, training consistency, and health status (free from infections and not on antibiotics or other gut-influencing medications for at least two months prior). Plasma Sample Collection: Venous blood samples were collected in EDTA tubes after a minimum 8-hour fast. Samples were centrifuged at 3,000 x g for 10 minutes at 4°C to separate plasma. The plasma was aliquoted and stored at -80°C until lipidomic and metabolomic analysis |
| Sample Type: | Blood (plasma) |
| Storage Conditions: | -80℃ |
Treatment:
| Treatment ID: | TR003851 |
| Treatment Summary: | No treatment. Participants included elite Colombian athletes divided into two groups: weightlifters (WA; n = 16) and cyclists (CA; n = 13), recruited from professional leagues and measured one month prior to an international competition. Inclusion criteria encompassed athletes’ professional status, training consistency, and health status (free from infections and not on antibiotics or other gut-influencing medications for at least two months prior). |
Sample Preparation:
| Sampleprep ID: | SP003848 |
| Sampleprep Summary: | Plasma Extraction: Plasma samples stored at -80°C were thawed on ice. For metabolomic analysis, 100 µL of plasma was mixed with 400 µL of cold methanol to precipitate proteins. The mixture was vortexed for 30 seconds and centrifuged at 13,000 x g for 10 minutes at 4°C. The supernatant was carefully collected and transferred to a new tube, then dried using a vacuum concentrator. The dried extracts were reconstituted in 100 µL of 50% methanol in water for subsequent analysis. |
Chromatography:
| Chromatography ID: | CH004621 |
| Instrument Name: | Agilent 1260 |
| Column Name: | Agilent InfinityLab Poroshell 120 EC-C18 (100 x 3mm,2.7um) |
| Column Temperature: | 40°C |
| Flow Gradient: | The gradient started with 5% B, which was linearly increased to 95% B over 15 minutes |
| Flow Rate: | 0.4 mL/min |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% Acetonitrile; 0.1% formic acid |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN006087 |
| Analysis Type: | MS |
| Chromatography ID: | CH004621 |
| Num Factors: | 3 |
| Num Metabolites: | 170 |
| Units: | Peak area |
