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PRJEB82904 ERP166569

Gut microbiota in CKD: case-control study, China

Gut microbiota in CKD

99 gut metagenome samples from adults in China, comparing chronic kidney disease (stages 2–5) patients and non-CKD controls in a case-control design. machine-written summary

99 samples · 99 runs · CN · Adult · 2025 · 1.50 Gbp / sample

Sources
✓Sequence archive 396✓Abstract / description 99–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 archive396 sample values (collection date, country, latitude, longitude)
✓ Abstract / description99 sample values (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
1 sampling locations · 1 country
Age
adult99
Country
CN99
Body site
primary99
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 %)this project, 1–3 Gbp: 99 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all 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 1.50 Gbp per sample0130Gbp
Community composition
Bacteroides 8.9%Bifidobacterium 7.0%Faecalibacterium 6.3%Phocaeicola 6.2%Blautia_A 6.2%Prevotella 4.3%Roseburia 3.8%Ruminococcoides 2.7%Gemmiger 2.7%Collinsella 2.2%Escherichia 2.1%Alistipes 2.1%not assigned to a genus 7.4%other genera 38.1%

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 coverage
fieldsamplescoverageR1R2R3R4
age_category99 100%
country99 100%99
health_condition0 0%
subject_id0 0%
collection_date99 100%99
health_condition_detail99 100%99
latitude99 100%99
longitude99 100%99
Details
Archive description

Chronic kidney disease (CKD) is a globally prevalent condition that poses a significant health burden, necessitating early diagnosis and intervention to improve patient outcomes. The gut microbiota has been implicated in CKD, yet there is still a lack of well-defined microbial and functional biomarkers associated with disease progression. In this study, we performed a population-scale metagenome-wide analysis of the gut microbiome of 745 CKD patients across stages 2 to 5, and 336 non-CKD normal controls.

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_adult_only”
  • body site study.title · “Gut microbiota in CKD”
  • body site study.description · “patient outcomes. The gut microbiota has been”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA120423101collection_date2024R10.90biosample.attribute:collection_date2024
SAMEA120423101countryCNR10.90sample.attr.geographic_location_country_and_or_seaChina
SAMEA120423101health_condition_detailmixed_case_control: 745 CKD patients (stages 2-5) vs 336 non-CKD normal controlsR40.50study.descriptionCKD patients across stages 2 to 5, and 336 non-CKD normal controls
SAMEA120423101latitude30.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude30 114
SAMEA120423101longitude114.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude30 114
Sequencing

99 runs over 99 samples · mean 1.50 Gbp per run (median 1.50 Gbp, total 148.69 Gbp; 99 runs with a base count) · layout SINGLE 99 · platform ILLUMINA 99 · models Illumina NovaSeq 6000 (99) · 100% of runs with a Sandpiper profile · first public 2025-10-28 – 2025-10-30

Authors (0)

No author record.

Help complete this project

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

Downloads

PRJEB82904.csv.gz (2.4 KB) · parquet (72.5 KB) — all 99 samples, every field with route and confidence · PRJEB82904_determinations.csv.gz (3.1 KB) — 495 evidence rows

Samples (99 · every field this project has values for · hover a cell for its source)
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