Swine farm worker skin microbiome vs students, China
232 skin and environmental samples from swine farm workers and students in Guangxi and Guangdong, China, examining how occupational exposure to swine farms alters skin microbiota and antibiotic resistome; cross-sectional design. machine-written summary
224 samples · 232 runs · CN · Age unknown · 2023 · 6.42 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 1,465 sample values (collection date, country, latitude, location locality, location region, longitude, subject id) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10989081 |
| ✓ Supplementary tables | 121 sample values (timepoint) |
| – 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 |
intervention — arms not resolved
Other administered intervention (see intervention_detail) design observational_with_procedure · population healthy_control · Occupational exposure to swine farm environment; skin sampled before/after exposure, no agent administered
“cohort study of swine farm workers and students” — abstract:38868515 (study level; per-sample arms are in the intervention column below)
longitudinal — not resolvedworkplace — not resolved
Schedule stated by the source: “skin sampled at Timepoint-1 (pre-exposure), Timepoint1 (after 5h exposure), and Timepoint2”.
11 swine-farm workers and 11 students (skin study); workers share a farm workplace; per-sample group not decodable.
Genera, mean relative abundance over 99 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 | 224 | 100% | 224 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 121 | 54% | 121 | |||
| collection_date | 224 | 100% | 224 | |||
| detailed_location | 224 | 100% | ||||
| latitude | 224 | 100% | 224 | |||
| location_locality | 224 | 100% | 224 | |||
| location_region | 224 | 100% | 224 | |||
| longitude | 224 | 100% | 224 | |||
| timepoint_label | 121 | 54% | 121 |
- Daily occupational exposure in swine farm alters human skin microbiota and antibiotic resistome. 2024 PMID 38868515 PMC10989081 own_data
Archive description
We collected skin and environmental samples to explore the impact of daily occupational exposure in swine farms on human skin microbiomes.
How this project entered the registry
Classified as human and non-human (mixed) skin / other human site / gut / stool / nasal / nasopharyngeal shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host study.title · “alters human skin microbiota”
- host study.description · “skin and environmental samples”
- body site run.scientific_name · “skin metagenome(121)”
- body site sample.attr.isolation_source · “Human Nasal Vestibule (n=61/232)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN35710412 | collection_date | 2022-07 | R1 | 0.90 | biosample.attribute:collection_date | 2022-07 |
| SAMN35710412 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China:Guangxi,Nanning |
| SAMN35710412 | latitude | 22.4800 | R1 | 0.90 | biosample.attribute:lat_lon | 22.48 N 108.22 E |
| SAMN35710412 | location_locality | Nanning | R1 | 0.85 | biosample.attribute:geo_loc_name | China:Guangxi,Nanning |
| SAMN35710412 | location_region | Guangxi | R1 | 0.85 | biosample.attribute:geo_loc_name | China:Guangxi,Nanning |
| SAMN35710412 | longitude | 108.2200 | R1 | 0.90 | biosample.attribute:lat_lon | 22.48 N 108.22 E |
| SAMN35710412 | subject_id | ZA | R1 | 0.70 | sample.name_rule:alias | ZAS1 |
| SAMN35710412 | timepoint_label | T-1 | R2 | 0.85 | paper.supp.IMT2-3-e158-s002.xlsx[Table S3!Time Point] | T-1 |
Sequencing
232 runs over 224 samples · mean 6.63 Gbp per run (median 6.42 Gbp, total 1,538.32 Gbp; 232 runs with a base count) · layout PAIRED 232 · platform ILLUMINA 232 · models Illumina HiSeq 4000 (232) · 90% of runs with a Sandpiper profile · first public 2023-10-24
Authors (12)
Chen DR first · Cheng K · Wan L · Cui CY · Li G · Zhao DH · Yu Y · Liao XP · Liu YH · D'Souza AW · Lian XL · Sun J last
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata
Downloads
PRJNA982563.csv.gz (6.0 KB) · parquet (77.8 KB) — all 224 samples, every field with route and confidence · PRJNA982563_determinations.csv.gz (9.9 KB) — 1,586 evidence rows