Home › Studies › PRJNA1043691
PRJNA1043691 SRP473335

Gut microbiota in Saudi children with ulcerative colitis

Microbiota Profile in Saudi Children with Ulcerative Colitis

Cross-sectional shotgun metagenomic study of 84 samples from children in Saudi Arabia (45 with ulcerative colitis, 39 healthy controls), examining gut microbiota dysbiosis associated with the condition. machine-written summary

84 samples · 84 runs · SA · Child · 2024 · 3.20 Gbp / sample

Sources
✓Sequence archive 504○Abstract / description✓Full text 168○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 archive504 sample values (collection date, country, health condition, health condition detail, latitude, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text168 sample values (antibiotic exposure, location locality) · PMC11804965, PMC11804967, PMC12352812
○ 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
child84
Condition
ulcerative_colitis43
healthy_control41
Country
SA84
Body site
primary84
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 %)this project, 0.3–1 Gbp: 1 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 34 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 49 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 3.20 Gbp per sample0130Gbp
Community composition
Bifidobacterium 10.6%Blautia_A 6.5%Faecalibacterium 6.2%Bacteroides 4.0%Mediterraneibacter 3.9%Roseburia 3.8%Streptococcus 3.5%Prevotella 3.3%Ruminococcoides 3.0%Gemmiger 2.5%Collinsella 2.1%Fusicatenibacter 2.0%not assigned to a genus 12.6%other genera 36.1%

Genera, mean relative abundance over 42 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category84 100%
country84 100%84
health_condition84 100%84
subject_id0 0%
antibiotic_exposure84 100%84
collection_date84 100%84
detailed_location84 100%
health_condition_detail84 100%84
latitude84 100%84
location_locality84 100%84
longitude84 100%84
Papers (3)
  • Gut fungal profile in new onset treatment-naïve ulcerative colitis in Saudi children. 2025 PMID 39523762 PMC11804965 cites_accession
  • Bacterial dysbiosis in newly diagnosed treatment naïve pediatric ulcerative colitis in Saudi Arabia. 2025 PMID 38708883 PMC11804967 own_data
  • Gut virome profile in new onset treatment naïve Saudi children with ulcerative colitis. 2025 PMID 40223739 PMC12352812 own_data
Details
Archive description

In view of the emerging condition and lack of information on the role of microbiota in Saudi Arabia, shotgun metagenomic sequencing was used to describe the Microbiota in Saudi Children with Ulcerative Colitis. Microbial dysbiosis was demonstrated in this population and microbiota signature was identified. Results are preliminary and further studies with large sample size are needed.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of child by sonnet_x2 with confidence 0.68. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Microbiota Profile in Saudi Children with Ulcerative Colitis”
  • life stage study.title · “Saudi Children with Ulcerative Colitis”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN38350056antibiotic_exposurenoR30.70paper.body.methodsno antibiotic exposure at least 6 months before sample collection
SAMN38350056collection_date2022/2023R10.90biosample.attribute:collection_date2022/2023
SAMN38350056countrySAR10.90sample.attr.geo_loc_nameSaudi Arabia
SAMN38350056health_conditionhealthy_controlR10.70sample.name_rule:host_diseaseCeD32ST_S63_Control
SAMN38350057health_conditionhealthy_controlR10.90biosample_attrCeD41ST_S64_Control
SAMN38350056health_condition_detailCeD32ST_S63_ControlR10.90sample.attr.host_diseaseCeD32ST_S63_Control
SAMN38350056latitude24.7500R10.90biosample.attribute:lat_lon24.75 N 46.86 E
SAMN38350056location_localityRiyadhR30.70paper.body.methodsKing Saud University in Riyadh, Kingdom of Saudi Arabia
SAMN38350056longitude46.8600R10.90biosample.attribute:lat_lon24.75 N 46.86 E
Sequencing

84 runs over 84 samples · mean 3.45 Gbp per run (median 3.20 Gbp, total 290.21 Gbp; 84 runs with a base count) · layout PAIRED 84 · platform ILLUMINA 84 · models Illumina NovaSeq 6000 (84) · 71% of runs with a Sandpiper profile · first public 2024-11-08 – 2024-12-01

Authors (0)

No author record.

Downloads

PRJNA1043691.csv.gz (3.4 KB) · parquet (74.3 KB) — all 84 samples, every field with route and confidence · PRJNA1043691_determinations.csv.gz (6.2 KB) — 672 evidence rows

Samples (84 · every field this project has values for · hover a cell for its source)
Loading the sample table…