Home › Studies › PRJNA990354
PRJNA990354 SRP446956

Gut microbiome in IBD patients in Dhaka, Bangladesh

Exploration of the Gut Microbiome of Inflammatory Bowel Disease Patients in Bangladesh

Cross-sectional study of 4 gut microbiome samples from IBD patients in Dhaka, Bangladesh, aiming to characterize microbial composition and identify bacteria potentially targetable by antibiotic therapy. machine-written summary

4 samples · 4 runs · BD · Age unknown · 2024 · 5.31 Gbp / sample

Sources
✓Sequence archive 32–Abstract / description✓Full text 8○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 archive32 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
– Abstract / descriptionno abstract or project description
✓ Full text8 sample values (age, sex) · PMC11737359
○ 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
adult4
Condition
ibd_unspecified4
Sex
male3
female1
Country
BD4
Body site
primary4
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 %)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 5.31 Gbp per sample0130Gbp
Community composition
Prevotella 51.8%Succinivibrio 6.2%Phocaeicola 4.2%Megamonas 3.2%Dialister 3.1%Alistipes 2.8%Alloprevotella 2.3%Haemophilus_D 1.9%Bacteroides 1.7%Sutterella 1.6%Klebsiella 1.4%Acidaminococcus 1.1%not assigned to a genus 4.8%other genera 14.0%

Genera, mean relative abundance over 4 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category4 100%
country4 100%4
health_condition4 100%4
subject_id0 0%
age_at_collection_days4 100%4
collection_date4 100%4
detailed_location4 100%
health_condition_detail4 100%4
latitude4 100%4
location_locality4 100%4
location_region4 100%4
longitude4 100%4
sex4 100%4
Papers (1)
  • A whole-genome metagenomic approach to explore the gut microbiome of inflammatory bowel disease patients in Bangladesh PMC11737359 unsure
Details
Archive description

In Bangladesh, the diagnostic procedure for IBD patients is complex and scarce, and doctors often prescribe broad-spectrum antibiotics based on their prior experiences in the absence of evidence-based therapy. The gut microbiome of Bangladeshi people remains grossly understudied, and no published literature is available on the microbiome composition of IBD patients of Bangladeshi origin. In this research, we present a preliminary characterization of the gut microbial composition of IBD patients from Bangladesh and identify potentially targetable bacteria for antibiotic therapy.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Gut Microbiome of Inflammatory Bowel Disease”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN36266748age_at_collection_days11322.8R30.85paper.body.TABLE 1[Age]31
SAMN36266748collection_date2022-01R10.90biosample.attribute:collection_date2022-01
SAMN36266748countryBDR10.90sample.attr.geo_loc_nameBangladesh: Dhaka
SAMN36266748health_conditionibd_unspecifiedR10.70sample.name_rule:sample_aliasIBD1
SAMN36266748health_condition_detailIBDR10.70sample.name_rule:sample_aliasIBD1
SAMN36266748latitude23.7761R10.90biosample.attribute:lat_lon23.7761057 N 90.4113768 E
SAMN36266748location_localityDhakaR10.85biosample.attribute:geo_loc_nameBangladesh: Dhaka
SAMN36266748location_regionDhakaR10.85biosample.attribute:geo_loc_nameBangladesh: Dhaka
SAMN36266748longitude90.4114R10.90biosample.attribute:lat_lon23.7761057 N 90.4113768 E
SAMN36266748sexmaleR30.85paper.body.TABLE 1[Sex]Male
Sequencing

4 runs over 4 samples · mean 5.10 Gbp per run (median 5.31 Gbp, total 20.39 Gbp; 4 runs with a base count) · layout PAIRED 4 · platform ILLUMINA 4 · models Illumina HiSeq 4000 (4) · 100% of runs with a Sandpiper profile · first public 2024-07-02

Authors (11)

Siam M first · Mondol S · Shakil M · Islam M · Islam I · Saha O · Amiruzzaman · Datta R · Ahmed T · Gomes D · Rahaman M last

Downloads

PRJNA990354.csv.gz (1.0 KB) · parquet (70.2 KB) — all 4 samples, every field with route and confidence · PRJNA990354_determinations.csv.gz (1.0 KB) — 40 evidence rows

Samples (4 · every field this project has values for · hover a cell for its source)
Loading the sample table…