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PRJEB58696 ERP143763

Gut multi-kingdom microbiome in gouty arthritis, China

Multi-kingdom characterization of the gut microbiota in patients with gouty arthritis

Case-control study of 26 stool samples from adults in China, comparing gut bacteriome, mycobiome, and virome between gouty arthritis patients and healthy controls via whole-metagenome shotgun sequencing. machine-written summary

26 samples · 26 runs · CN · Adult · 2023 · 9.42 Gbp / sample · cohort Distinct characteristics of the gut virome in pati

Sources
✓Sequence archive 156○Abstract / description✓Full text 78○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 archive156 sample values (collection date, country, health condition, health condition detail, latitude, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text78 sample values (antibiotic exposure, location site, subject id) · PMC10668524
○ 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 sampling locations · 1 country
Age
adult26
Condition
autoimmune_inflammatory26
Country
CN26
Body site
primary26
Collected 2018–2022
2018: 23 samples2022: 3 samples20182022
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: 14 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 12 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 9.42 Gbp per sample0130Gbp
Community composition
Blautia_A 14.5%Escherichia 14.5%Bifidobacterium 9.6%Collinsella 4.3%Streptococcus 4.2%Klebsiella 2.9%Faecalibacterium 2.8%Gemmiger 2.3%Mediterraneibacter 2.0%Enterobacter 1.9%Enterococcus_B 1.7%Enterococcus 1.6%not assigned to a genus 4.8%other genera 32.7%

Genera, mean relative abundance over 24 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category26 100%
country26 100%26
health_condition26 100%26
subject_id26 100%26
antibiotic_exposure26 100%26
collection_date26 100%26
detailed_location26 100%
health_condition_detail26 100%26
latitude26 100%26
location_site26 100%26
longitude26 100%26
Papers (2)
  • Characterizations of the multi-kingdom gut microbiota in Chinese patients with gouty arthritis. 2023 PMID 38001408 PMC10668524 own_data
  • Distinct characteristics of the gut virome in patients with osteoarthritis and gouty arthritis. 2024 PMID 38872164 PMC11170907 unsure
Details
Archive description

The dysbiotic gut microbial composition has been associated with autoimmune diseases in humans, especially patients with arthritis. However, the holistic investigation of the gut bacteriome, mycobiome, and virome in patients with gouty arthritis (GA) remains unclear. In this study, we characterized the multi-kingdom gut microbiome of 25 GA patients and 28 healthy subjects via whole-metagenome shotgun sequencing of their stool samples. We found that the gut bacteriome, mycobiome, and virome of GA patients were substantially altered, characterized by a panel of 1,117 differentially abundant bacterial species, 23 fungal species, and 4,115 viral operational taxonomic units. Our findings uncovered the fecal bacteriome, mycobiome, and virome features of the GA microbiota, which may promote future mechanistic and therapeutic works.

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 · “characterization of the gut microbiota in patients”
  • body site study.description · “The dysbiotic gut microbial composition has”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA113939220antibiotic_exposurenoR30.70paper.fulltext.methodsreceived antibiotics, antifungals, or probiotics treatment in 1 month
SAMEA113939220collection_date2018R10.90biosample.attribute:collection_date2018
SAMEA113939220countryCNR10.90sample.attr.geographic_location_country_and_or_seaChina
SAMEA113939220health_conditionautoimmune_inflammatoryR10.85biosample.attribute:descriptiongouty arthritis (GA)
SAMEA113939220health_condition_detailgouty arthritis (GA)R10.85biosample.attribute:descriptiongouty arthritis (GA)
SAMEA113939220latitude39.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude39 122
SAMEA113939220location_siteSecond Affiliated Hospital of Guizhou University of Chinese MedicineR30.70paper.fulltext.methodsSecond Affiliated Hospital of Guizhou University of Chinese Medicine, China
SAMEA113939220longitude122.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude39 122
SAMEA113939220subject_idSAMEA113939220R30.70design.one_sample_per_subject:fulltextTwenty-six gouty arthritis patients admitted to the Department of Rheumatology and Immunology
Sequencing

26 runs over 26 samples · mean 9.57 Gbp per run (median 9.42 Gbp, total 248.90 Gbp; 26 runs with a base count) · layout PAIRED 26 · platform ILLUMINA 26 · models Illumina NovaSeq 6000 (26) · 92% of runs with a Sandpiper profile · first public 2023-06-26 – 2023-06-29

Authors (43)

Chen C first · Zhang Y · Yao X · Yan Q · Li S · Zhong Q · Liu Z · Tang F · Liu C · Li H · Zhu D · Lan W · Ling Y · Lu D · Xu H · Ning Q · Wang Y · Jiang Z · Zhang Q · Gu G · Sun L · Wang N · Wang G · Zhang A · Ullah H · Sun W · Ma W last · Chen CM first · Yan QL · Guo RC · Wang MH · Yi HZ · Huang CX · Wang QY · Lan WY · Yang YZ · Wang GY · Zhang AQ · Ma J · You W · Li SH · Yao XM · Ma WK last

Downloads

PRJEB58696.csv.gz (1.7 KB) · parquet (71.7 KB) — all 26 samples, every field with route and confidence · PRJEB58696_determinations.csv.gz (2.4 KB) — 234 evidence rows

Samples (26 · every field this project has values for · hover a cell for its source)
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