Gut microbiota in Chinese elite athletes vs controls
Case-control study of 91 stool samples from professional athletes (road cycling, handball, shooting, weightlifting) and university student controls in Shanghai, China, comparing gut microbiota composition and function across training patterns. machine-written summary
91 samples · 91 runs · CN · Adult · 2025 · 7.78 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 273 sample values (collection date, country, location locality) |
| ✓ Abstract / description | 91 sample values (subject id) |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 89 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 91 | 100% | ||||
| country | 91 | 100% | 91 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 91 | 100% | 91 | |||
| collection_date | 91 | 100% | 91 | |||
| detailed_location | 91 | 100% | ||||
| location_locality | 91 | 100% | 91 |
Archive description
Previous studies have compared the gut microbiota between athletes and sedentary individuals, but the influence of diverse training patterns on the gut microbiota of professional athletes re-mains unclear. This study aimed to explore these differences among professional athletes from road cycling, handball, shooting, and weightlifting, and a control group of university students. Stool samples from 69 professional athletes and 22 controls were analyzed, revealing significant differences in microbiota composition, function, and metabolic phenotypes.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.70. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “gut metagenome”
- life stage study.description · “professional athletes and 22 controls”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN44752676 | collection_date | 2023-07-10 | R1 | 0.90 | biosample.attribute:collection_date | 2023-07-10 |
| SAMN44752676 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China: Shanghai |
| SAMN44752676 | location_locality | Shanghai | R1 | 0.85 | biosample.attribute:geo_loc_name | China: Shanghai |
| SAMN44752676 | subject_id | SAMN44752676 | R4 | 0.60 | design.one_sample_per_subject:description | Stool samples from 69 professional athletes and 22 controls were analyzed |
Sequencing
91 runs over 91 samples · mean 7.75 Gbp per run (median 7.78 Gbp, total 705.68 Gbp; 91 runs with a base count) · layout PAIRED 91 · platform ILLUMINA 91 · models Illumina NovaSeq X Plus (91) · 98% of runs with a Sandpiper profile · first public 2025-05-04
Authors (0)
No author record.
Downloads
PRJNA1186265.csv.gz (3.2 KB) · parquet (73.4 KB) — all 91 samples, every field with route and confidence · PRJNA1186265_determinations.csv.gz (2.8 KB) — 364 evidence rows