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PRJNA1113191 SRP508525

Gut microbiome in healthy Seoul adults, cross-sectional

Gut microbiome analysis of health screening participants at Seoul National University Hospital

44 gut microbiome samples from healthy adult and elderly health-screening participants in Seoul, South Korea, analyzed in a cross-sectional design. machine-written summary

44 samples · 88 runs · KR · Age unknown · 2025 · 10.73 Gbp / sample

Sources
✓Sequence archive 220○Abstract / description✓Full text 176○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive220 sample values (age, collection date, country, location locality, sex)
○ Abstract / descriptionread; no usable statement
✓ Full text176 sample values (health condition, health condition detail, location site, subject id) · PMC13633279
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult31
elderly13
Condition
healthy_control44
Sex
female30
male14
Country
KR44
Body site
primary44
Collected 2017–2018
2017: 39 samples2018: 5 samples20172018
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 16 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 28 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 10.73 Gbp per sample0130Gbp
Community composition
Bifidobacterium 12.5%Blautia_A 12.3%Collinsella 5.8%Streptococcus 5.4%Escherichia 4.5%Faecalibacterium 3.1%Anaerostipes 2.9%Gemmiger 2.8%Anaerobutyricum 2.5%Ruminococcoides 2.4%Catenibacterium 2.3%Dorea_A 2.0%not assigned to a genus 5.6%other genera 36.0%

Genera, mean relative abundance over 37 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category44 100%
country44 100%44
health_condition44 100%44
subject_id44 100%44
age_at_collection_days44 100%44
collection_date44 100%44
detailed_location44 100%
health_condition_detail44 100%44
location_locality44 100%44
location_site44 100%44
sex44 100%44
Papers (1)
  • Linking visceral fat accumulation to gut microbiota: key bacterial taxa and their roles in the glycogen synthesis pathway. 2026 PMID 42722700 PMC13633279 own_data
Details
Archive description

This is a study analyzing the composition of the gut microbiome and its health effects in healthy Koreans who have undergone health screenings at Seoul National University Hospital.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.60. Assay shotgun_dna.

  • host run.scientific_name · “Homo sapiens”
  • body site study.title · “Gut microbiome analysis”
  • life stage sample.attr.age · “61 (n=23/44)”
  • life stage sample.attr.age · “64 (n=21/44)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN41449817age_at_collection_days23376.0R10.70sample.attr.age64
SAMN41449817collection_date2017-02-24R10.90biosample.attribute:collection_date2017-02-24
SAMN41449817countryKRR10.90sample.attr.geo_loc_nameSouth Korea: Seoul
SAMN41449817health_conditionhealthy_controlR30.70paper.body.textconfirmed to be free of any serious illnesses at the time of examination
SAMN41449817health_condition_detailconfirmed to be free of any serious illnesses at the time of examinationR30.70paper.body.textconfirmed to be free of any serious illnesses at the time of examination
SAMN41449817location_localitySeoulR10.85biosample.attribute:geo_loc_nameSouth Korea: Seoul
SAMN41449817location_siteSeoul National University HospitalR30.70paper.body.textparticipated in the health screening program at Seoul National University Hospital
SAMN41449817sexmaleR10.90sample.attr.sexmale
SAMN41449817subject_idSAMN41449817R30.70design.one_sample_per_subject:fulltextwe further analyzed the metagenomic taxa of 44 participants selected on the basis of their obesity score.
Sequencing

88 runs over 44 samples · mean 5.39 Gbp per run (median 2.97 Gbp, total 474.66 Gbp; 88 runs with a base count) · layout PAIRED 87, SINGLE 1 · platform ILLUMINA 88 · models Illumina NovaSeq 6000 (88) · 42% of runs with a Sandpiper profile · first public 2025-06-18

Authors (0)

No author record.

Downloads

PRJNA1113191.csv.gz (2.6 KB) · parquet (72.9 KB) — all 44 samples, every field with route and confidence · PRJNA1113191_determinations.csv.gz (3.9 KB) — 396 evidence rows

Samples (44 · every field this project has values for · hover a cell for its source)
Loading the sample table…