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PRJNA690735 SRP301065

Fiber intervention in IBD gut microbiome, Edmonton

Dietary Fibers Promote Inflammation in Inflammatory Bowel Diseases

52 gut metagenome samples from an intervention study in Edmonton, Canada, examining prebiotic/fiber supplementation in relation to inflammatory bowel disease and fiber-fermenting microbiota. machine-written summary

52 samples · 52 runs · CA · Age unknown · 2021 · 13.74 Gbp / sample

Sources
✓Sequence archive 415○Abstract / description–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 archive415 sample values (country, health condition, health condition detail, latitude, location locality, location region, longitude, subject id)
○ Abstract / descriptionread; no usable statement
– 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
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Prebiotic / dietary fibre supplement design randomized_controlled_trial · population ibd_unspecified · β-fructan (oligofructose) fiber supplementation in IBD RCT

“adult IBD randomized controlled trial examining β-fructan supplementation” — abstract:36183751 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
unknown52
Condition
crohns_disease20
ulcerative_colitis17
healthy_control15
Country
CA52
Body site
primary52
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: 4 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 48 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 13.74 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

6 of 45 people sampled more than once (12 samples; median 2, up to 2 per person).

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 25.9%Alistipes 4.5%Flavonifractor 3.8%Sutterella 3.7%Bifidobacterium 3.7%Phyllobacterium 3.5%Devosia 3.3%Phocaeicola 3.2%Mediterraneibacter 3.2%Bacteroides 2.8%Gemmiger 2.6%Collinsella 2.2%not assigned to a genus 10.3%other genera 27.2%

Genera, mean relative abundance over 48 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country52 100%52
health_condition52 100%52
subject_id51 98%51
detailed_location52 100%
health_condition_detail52 100%52
latitude52 100%52
location_locality52 100%52
location_region52 100%52
longitude52 100%52
Papers (1)
  • Unfermented ß-fructan Fibers Fuel Inflammation in Select Inflammatory Bowel Disease Patients. 2023 PMID 36183751 own_data
Details
Archive description

The putative loss of fiber fermenting-microbes populating the IBD gut could lead to dietary fibers not being efficiently broken down into their beneficial biproducts (e.g., short chain fatty acids SCFA), resulting in binding of intact fibers to pro-inflammatory host cell receptors.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.70. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN17258198countryCAR10.90sample.attr.geo_loc_nameCanada:Edmonton
SAMN17258198health_conditionhealthy_controlR10.85biosample.attribute:descriptionnonIBD_sample
SAMN17258198health_condition_detailnonIBD_sampleR10.85biosample.attribute:descriptionnonIBD_sample
SAMN17258198latitude53.5461R10.90biosample.attribute:lat_lon53.5461 N 113.4938 W
SAMN17258198location_localityEdmontonR10.85biosample.attribute:geo_loc_nameCanada:Edmonton
SAMN17258198location_regionAlbertaR10.60biosample.attribute:lat_lon53.5461 N 113.4938 W
SAMN17258198longitude-113.4938R10.90biosample.attribute:lat_lon53.5461 N 113.4938 W
SAMN17258198subject_id51R10.70sample.name_rule:library_namespnt51
Sequencing

52 runs over 52 samples · mean 13.72 Gbp per run (median 13.74 Gbp, total 713.59 Gbp; 52 runs with a base count) · layout PAIRED 52 · platform ILLUMINA 52 · models Illumina NovaSeq 6000 (52) · 92% of runs with a Sandpiper profile · first public 2021-12-24

Authors (33)

Armstrong HK first · Bording-Jorgensen M · Santer DM · Zhang Z · Valcheva R · Rieger AM · Sung-Ho Kim J · Dijk SI · Mahmood R · Ogungbola O · Jovel J · Moreau F · Gorman H · Dickner R · Jerasi J · Mander IK · Lafleur D · Cheng C · Petrova A · Jeanson TL · Mason A · Sergi CM · Levine A · Chadee K · Armstrong D · Rauscher S · Bernstein CN · Carroll MW · Huynh HQ · Walter J · Madsen KL · Dieleman LA · Wine E last

Downloads

PRJNA690735.csv.gz (2.3 KB) · parquet (71.7 KB) — all 52 samples, every field with route and confidence · PRJNA690735_determinations.csv.gz (3.6 KB) — 415 evidence rows

Samples (52 · every field this project has values for · hover a cell for its source)
Loading the sample table…