Microbiome in esports players vs athletes & students, Poland
169 fecal samples from Polish male esports players, endurance athletes, and physical education students (Warsaw, Cracow), comparing gut microbiota composition, function, and metabolites in a case-control design. machine-written summary
169 samples · 169 runs · PL · Age unknown · 2023 · 4.35 Gbp / sample · cohort Microbial and Metabolic Gut Profiling across Seven
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 870 sample values (collection date, country, latitude, location locality, location region, longitude) |
| ✓ Abstract / description | 169 sample values (health condition detail) |
| ✓ Full text | 169 sample values (antibiotic exposure) · PMC12298630, PMC9884692 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 158 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 | 0 | 0% | ||||
| country | 169 | 100% | 169 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| antibiotic_exposure | 169 | 100% | 169 | |||
| detailed_location | 169 | 100% | ||||
| health_condition_detail | 169 | 100% | 169 | |||
| latitude | 169 | 100% | 169 | |||
| location_locality | 169 | 100% | 169 | |||
| longitude | 169 | 100% | 169 | |||
| collection_date | 144 | 85% | 144 | |||
| location_region | 50 | 30% | 50 |
- Characteristics of the gut microbiome in esports players compared with those in physical education students and professional athletes. 2022 PMID 36726816 PMC9884692 own_data
- The Gut Microbiome Obesity Index: A New Analytical Tool in the Metagenomics Workflow for the Evaluation of Gut Dysbiosis in Obese Humans. 2025 PMID 40732945 PMC12298630 own_data
- Microbial and Metabolic Gut Profiling across Seven Malignancies Identifies Fecal Faecalibacillus intestinalis and Formic Acid as Commonly Altered in Cancer Patients. 2024 PMID 39125593 PMC11311272 unsure
Archive description
Esports is a category of competitive video games that, in many aspects, may be similar to traditional sports however, the gut microbiota composition of esport players has not been yet studied.</p><p>Here, we investigated the composition and function of the gut microbiota, as well as bacterial metabolites, short chain fatty acids (SCFAs), and amino acids, in a group of 109 well-characterized Polish male esports players. The results were compared with two reference groups: 25 endurance athletes and 36 healthy students of physical education. DNA and metabolites isolated from fecal samples were analyzed using shotgun metagenomic sequencing and mass spectrometry, respectively. Physical activity and nutritional measures were evaluated by questionnaire.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.70. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- host study.description · “109 well-characterized Polish male esports players”
- body site study.description · “DNA and metabolites isolated from fecal samples”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN31248723 | antibiotic_exposure | no | R3 | 0.70 | paper.fulltext.methods | None of the participants had used antibiotics in the 2 months |
| SAMN31248723 | collection_date | 2020-07-28 | R1 | 0.90 | biosample.attribute:collection_date | 2020-07-28 |
| SAMN31248723 | country | PL | R1 | 0.90 | sample.attr.geo_loc_name | Poland:Warsaw |
| SAMN31248723 | health_condition_detail | mixed_case_control: esports players vs endurance athletes vs healthy physical education students | R4 | 0.40 | study.description | 109 well-characterized Polish male esports players. The results were compared with two |
| SAMN31248723 | latitude | 52.1400 | R1 | 0.90 | biosample.attribute:lat_lon | 52.14 N 21 E |
| SAMN31248723 | location_locality | Warszawa | R1 | 0.75 | biosample.attribute:geo_loc_name | Poland:Warsaw |
| SAMN31248783 | location_region | Lesser Poland Voivodeship | R1 | 0.60 | biosample.attribute:lat_lon | 50.03 N 19.56 E |
| SAMN31248723 | longitude | 21.0000 | R1 | 0.90 | biosample.attribute:lat_lon | 52.14 N 21 E |
Sequencing
169 runs over 169 samples · mean 4.35 Gbp per run (median 4.35 Gbp, total 735.83 Gbp; 169 runs with a base count) · layout PAIRED 169 · platform ILLUMINA 169 · models Illumina NovaSeq 6000 (169) · 93% of runs with a Sandpiper profile · first public 2023-01-08
Authors (36)
Kulecka M first · Fraczek B · Balabas A · Czarnowski P · Zeber-Lubecka N · Zapala B · Baginska K · Glowienka M · Szot M · Skorko M · Kluska A · Piatkowska M · Mikula M · Ostrowski J last · Bałabas A · Turkot M · Kruczkowska-Tarantowicz K · Żeber-Lubecka N · Dąbrowska M · Paszkiewicz-Kozik E · Walewski J · Ługowska I · Koseła-Paterczyk H · Rutkowski P · Piątkowska M · Jagiełło-Gruszfeld A · Tenderenda M · Gawiński C · Wyrwicz L · Borucka M · Krzakowski M · Zając L · Kamiński M · Jaworski P · Frączek B · Tarnowski W
Help complete this project
3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata
Downloads
PRJNA885289.csv.gz (5.2 KB) · parquet (77.0 KB) — all 169 samples, every field with route and confidence · PRJNA885289_determinations.csv.gz (7.8 KB) — 1,208 evidence rows