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PRJDB41006 DRP017692

Gut microbiome in osteoarthritis patients

Human gut microbiome (PRJCA023753)

This dataset includes 228 gut microbiome samples from patients with osteoarthritis. Sample location and participant ages are not specified, and the study design is listed as "other." machine-written summary

228 samples · 228 runs · Age unknown · 2026 · 10.79 Gbp / sample

Sources
✓Sequence archive 684✓Abstract / description 456–Full text–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 archive684 sample values (collection date, subject id, timepoint)
✓ Abstract / description456 sample values (health condition, health condition detail)
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
Age
unknown228
Condition
autoimmune_inflammatory228
Body site
primary228
Collected 2020–2021
2020: 60 samples2021: 168 samples20202021
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: 5 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 223 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 10.79 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

60 of 60 people sampled more than once (228 samples; median 4, up to 4 per person) · follow-up median 4 mo (max 4 mo) · median interval between samples 31 d (time from collection dates).

GJC1GJC1: day 0GJC1: day 31GJC1: day 90GJC1: day 121GJC12GJC12: day 0GJC12: day 31GJC12: day 90GJC12: day 121GJC13GJC13: day 0GJC13: day 31GJC13: day 90GJC13: day 121GJC15GJC15: day 0GJC15: day 31GJC15: day 90GJC15: day 121GJC16GJC16: day 0GJC16: day 31GJC16: day 90GJC16: day 121GJC18GJC18: day 0GJC18: day 31GJC18: day 90GJC18: day 121GJC2GJC2: day 0GJC2: day 31GJC2: day 90GJC2: day 121GJC21GJC21: day 0GJC21: day 31GJC21: day 90GJC21: day 121GJC22GJC22: day 0GJC22: day 31GJC22: day 90GJC22: day 121GJC24GJC24: day 0GJC24: day 31GJC24: day 90GJC24: day 121GJC25GJC25: day 0GJC25: day 31GJC25: day 90GJC25: day 121GJC26GJC26: day 0GJC26: day 31GJC26: day 90GJC26: day 121GJC27GJC27: day 0GJC27: day 31GJC27: day 90GJC27: day 121GJC28GJC28: day 0GJC28: day 31GJC28: day 90GJC28: day 121GJC29GJC29: day 0GJC29: day 31GJC29: day 90GJC29: day 121GJC3GJC3: day 0GJC3: day 31GJC3: day 90GJC3: day 121GJC30GJC30: day 0GJC30: day 31GJC30: day 90GJC30: day 121GJC31GJC31: day 0GJC31: day 31GJC31: day 90GJC31: day 121GJC32GJC32: day 0GJC32: day 31GJC32: day 90GJC32: day 121GJC7GJC7: day 0GJC7: day 31GJC7: day 90GJC7: day 121GJC9GJC9: day 0GJC9: day 31GJC9: day 90GJC9: day 121GJP1GJP1: day 0GJP1: day 31GJP1: day 90GJP1: day 121GJP12GJP12: day 0GJP12: day 31GJP12: day 90GJP12: day 121GJP13GJP13: day 0GJP13: day 31GJP13: day 90GJP13: day 121GJP15GJP15: day 0GJP15: day 31GJP15: day 90GJP15: day 121GJP21GJP21: day 0GJP21: day 31GJP21: day 90GJP21: day 121GJP22GJP22: day 0GJP22: day 31GJP22: day 90GJP22: day 121GJP23GJP23: day 0GJP23: day 31GJP23: day 90GJP23: day 121GJP25GJP25: day 0GJP25: day 31GJP25: day 90GJP25: day 121GJP26GJP26: day 0GJP26: day 31GJP26: day 90GJP26: day 121GJP28GJP28: day 0GJP28: day 31GJP28: day 90GJP28: day 121GJP29GJP29: day 0GJP29: day 31GJP29: day 90GJP29: day 121GJP3GJP3: day 0GJP3: day 31GJP3: day 90GJP3: day 121GJP33GJP33: day 0GJP33: day 31GJP33: day 90GJP33: day 121GJP35GJP35: day 0GJP35: day 31GJP35: day 90GJP35: day 121GJP37GJP37: day 0GJP37: day 31GJP37: day 90GJP37: day 1210 d30 d2 mo3 mo4 mo

Each row is one person (36 shown of 60); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country0 0%
health_condition228 100%228
subject_id228 100%228
collection_date228 100%228
health_condition_detail228 100%228
timepoint_label228 100%228
Details
Archive description

The gut microbiome of patients with osteoarthritis

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Human gut microbiome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD01841323collection_date2020-12-01R10.90biosample.attribute:collection_date2020-12-01
SAMD01841323health_conditionautoimmune_inflammatoryR40.50study.descriptionpatients with osteoarthritis
SAMD01841323health_condition_detailOsteoarthritisR40.50study.descriptionpatients with osteoarthritis
SAMD01841323subject_idGJC1R10.70sample.name_rule:sample_titleGJC1A (SAMC3421970)
SAMD01841323timepoint_labelAR10.70sample.name_rule:sample_titleGJC1A (SAMC3421970)
Sequencing

228 runs over 228 samples · mean 10.90 Gbp per run (median 10.79 Gbp, total 2,485.73 Gbp; 228 runs with a base count) · layout PAIRED 228 · platform ILLUMINA 228 · models Illumina NovaSeq 6000 (228) · 0% of runs with a Sandpiper profile · first public 2026-06-02

Authors (0)

No author record.

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, country. Share metadata

Downloads

PRJDB41006.csv.gz (6.2 KB) · parquet (77.3 KB) — all 228 samples, every field with route and confidence · PRJDB41006_determinations.csv.gz (9.2 KB) — 1,140 evidence rows

Samples (228 · every field this project has values for · hover a cell for its source)
Loading the sample table…