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PRJNA1004858 SRP455078

Gut microbiota in HLA-B27 ankylosing spondylitis, Chengdu

Metagenome AS and Gut microbiota

88 fecal samples from adults in Chengdu, China, comparing HLA-B27-positive AS patients, HLA-B27-positive healthy controls, and HLA-B27-negative healthy controls in a case-control study of gut microbiome and metabolome changes. machine-written summary

88 samples · 88 runs · CN · Adult · 2026 · 6.49 Gbp / sample

Sources
✓Sequence archive 648○Abstract / description✓Full text 264○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 archive648 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text264 sample values (antibiotic exposure, location site, subject id) · PMC12915779
○ 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
Interventions

intervention — arms not resolved

Antibiotic given as the study intervention (incl. eradication therapy design observational_with_procedure · population autoimmune_inflammatory · Human fecal metagenomics cross-sectional; mouse FMT from clinical donors into antibiotic-treated mice

“FMT) from clinical donors into antibiotic-treated mice” — abstract:41698880 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult88
Condition
healthy_control60
Country
CN88
Body site
primary88
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: 88 samplesall 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 6.49 Gbp per sample0130Gbp
Community composition
Blautia_A 12.1%Bifidobacterium 7.9%Roseburia 7.6%Faecalibacterium 6.8%Mediterraneibacter 4.8%Collinsella 4.2%Phocaeicola 4.0%Megamonas 3.1%Bacteroides 3.0%Fusicatenibacter 3.0%Ruminococcoides 2.7%Dorea_A 2.2%not assigned to a genus 3.8%other genera 34.7%

Genera, mean relative abundance over 87 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category88 100%
country88 100%88
health_condition60 68%60
subject_id88 100%88
antibiotic_exposure88 100%88
collection_date88 100%88
detailed_location88 100%
latitude88 100%88
location_locality88 100%88
location_region88 100%88
location_site88 100%88
longitude88 100%88
health_condition_detail60 68%60
Papers (1)
  • HLA-B27-associated gut microbiota and amino acid perturbations promote ankylosing spondylitis through M1 macrophage activation. 2026 PMID 41698880 PMC12915779 own_data
Details
Archive description

Utilizing multi-omics data, our study has provided evidence that HLA-B27 may influence the gut ecosystem by altering the composition of the microbiome and its metabolic functions. We identified disturbances in three amino acid metabolism pathways, including tryptophan metabolism, cysteine metabolism, and biosynthesis of branched-chain amino acid, ornithine, and lysine, as hallmark features in the gut ecosystem of AS. Moreover, our correlation analysis led to the discovery of several novel AS-related species and metabolites. Collectively, these findings highlight the potential role of HLA-B27 in the pathogenesis of AS, as seen through the lens of gut microbiome changes. The further disruption of microbiota-derived metabolism in the context of HLA-B27 may be partially responsible for the eventual development of AS among HLA-B27-positive individuals. Our study also opens up new directions to develop novel therapeutic strategies for AS however, these findings will require further investigation and verification.

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 · “Metagenome AS and Gut microbiota”
  • body site study.description · “may influence the gut ecosystem by altering”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN36958563antibiotic_exposurenoR30.70paper.fulltext.methodstaken antibiotics or probiotics within three months
SAMN36958563collection_date2022-08-25R10.90biosample.attribute:collection_date2022-08-25
SAMN36958563countryCNR10.90sample.attr.geo_loc_nameChina:Chengdu
SAMN36958563health_conditionhealthy_controlR10.70sample.name_rule:aliasB27N_control_1
SAMN36958563health_condition_detailB27N_controlR10.70sample.name_rule:aliasB27N_control_1
SAMN36958563latitude30.6100R10.90biosample.attribute:lat_lon30.61 N 104.03 E
SAMN36958563location_localityChengduR10.85biosample.attribute:geo_loc_nameChina:Chengdu
SAMN36958563location_regionSichuanR10.60biosample.attribute:lat_lon30.61 N 104.03 E
SAMN36958563location_siteWest China Hospital of Sichuan UniversityR30.70paper.fulltext.methodsBiomedical Research Ethics Committee of West China Hospital of Sichuan University
SAMN36958563longitude104.0300R10.90biosample.attribute:lat_lon30.61 N 104.03 E
SAMN36958563subject_idSAMN36958563R30.70design.one_sample_per_subject:fulltextA cohort of 28 AS patients and 60 HCs, ranging in age from 18 to 65 y, was recruited for the study.
Sequencing

88 runs over 88 samples · mean 6.47 Gbp per run (median 6.49 Gbp, total 569.65 Gbp; 88 runs with a base count) · layout PAIRED 88 · platform ILLUMINA 88 · models Illumina NovaSeq 6000 (88) · 99% of runs with a Sandpiper profile · first public 2026-01-01

Authors (10)

Huang T first · Yang H · Zhang L · Wang X · Chen Y · Dai H · Hashimoto K · Luo Y · Pu Y · Liu Y last

Downloads

PRJNA1004858.csv.gz (3.2 KB) · parquet (75.0 KB) — all 88 samples, every field with route and confidence · PRJNA1004858_determinations.csv.gz (6.6 KB) — 912 evidence rows

Samples (88 · every field this project has values for · hover a cell for its source)
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