Spicy food & alcohol vs gut microbiome
229 gut metagenome samples from healthy adults in Seoul, South Korea, examining associations between spicy food intake and alcohol consumption with gut microbiome composition and mucin/SCFA metabolism in a cross-sectional design. machine-written summary
229 samples · 229 runs · KR · Adult · 2026 · 12.16 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 687 sample values (collection date, country, location locality) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 687 sample values (health condition, health condition detail, subject id) · PMC13408995 |
| ○ 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 |
| – Human verified | not yet checked by a person · I checked this project — verify it |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 229 | 100% | ||||
| country | 229 | 100% | 229 | |||
| health_condition | 229 | 100% | 229 | |||
| subject_id | 229 | 100% | 229 | |||
| collection_date | 229 | 100% | 229 | |||
| detailed_location | 229 | 100% | ||||
| health_condition_detail | 229 | 100% | 229 | |||
| location_locality | 229 | 100% | 229 |
- Spicy food intake and dietary factors shape the gut microbiome and metabolism of mucin and short-chain fatty acids in healthy adults. 2026 PMID 42174021 PMC13408995 own_data
Archive description
The aim of this study is to explore how spicy food and alcohol intake are associated with changes in the gut microbiome, by analyzing microbial abundance using shotgun meta genomic sequencing.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage reason_code age_unknown_no_evidence”
- body site study.title · “Consumption in Shaping Gut Microbiome and Music”
- body site study.description · “changes in the gut microbiome, by analyzing”
- life stage study.title · “Study in Healthy Adults”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN53301289 | collection_date | 2025-02-17 | R1 | 0.90 | biosample.attribute:collection_date | 2025-02-17 |
| SAMN53301289 | country | KR | R1 | 0.90 | sample.attr.geo_loc_name | South Korea: Seoul |
| SAMN53301289 | health_condition | healthy_control | R3 | 0.70 | paper.fulltext.methods | 240 healthy Korean adults aged 19 years or older |
| SAMN53301289 | health_condition_detail | healthy Korean adults, excluded diagnosed disease or medication | R3 | 0.70 | paper.fulltext.methods | 240 healthy Korean adults aged 19 years or older |
| SAMN53301289 | location_locality | Seoul | R1 | 0.85 | biosample.attribute:geo_loc_name | South Korea: Seoul |
| SAMN53301289 | subject_id | SAMN53301289 | R3 | 0.70 | design.one_sample_per_subject:fulltext | resulting in a cohort of 229 participants. All participants completed a structured questionnaire on dietary and lifestyle habits and provided fecal, urine, and oral epithelial |
Sequencing
229 runs over 229 samples · mean 12.03 Gbp per run (median 12.16 Gbp, total 2,754.74 Gbp; 229 runs with a base count) · layout PAIRED 229 · platform ILLUMINA 229 · models Illumina NovaSeq X (229) · 0% of runs with a Sandpiper profile · first public 2026-05-13
Downloads
PRJNA1366038.csv.gz (6.6 KB) · parquet (79.5 KB) — all 229 samples, every field with route and confidence · PRJNA1366038_determinations.csv.gz (8.6 KB) — 1,374 evidence rows