Water chlorination & child gut microbiome, Dhaka, Bangladesh
132 gut microbiome samples from children in Tongi and Dhaka Uddan, Bangladesh, studying effects of passive drinking water chlorination on intestinal flora and resistomes, in a cluster-randomized controlled trial. machine-written summary
132 samples · 132 runs · BD · Infant / toddler · 2021 · 11.56 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 395 sample values (collection date, country, subject id) |
| ✓ Abstract / description | 132 sample values (location locality) |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention — arms not resolved
Other administered intervention (see intervention_detail) design randomized_controlled_trial · population healthy_control · Passive water chlorination devices at shared taps
“passive water chlorination devices installed at shared taps” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal — not resolved
2 of 130 people sampled more than once (4 samples; median 2, up to 2 per person).
Genera, mean relative abundance over 120 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 132 | 100% | 132 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 132 | 100% | 132 | |||
| detailed_location | 132 | 100% | ||||
| location_locality | 132 | 100% | 132 | |||
| collection_date | 131 | 99% | 131 |
- (no title) curated
Archive description
Water chlorination is a promising strategy for reducing exposure to diarrheal pathogens and associated antibiotic use among young children in low income countries, with potential benefits for the gut microbiome and long term health. Members of our team recently conducted a cluster randomized trial of passive water chlorination devices installed at shared taps in urban Bangladesh that disinfected all water used for domestic purposes including drinking, cooking, personal hygiene, and cleaning. The objectives of the present study were to examine the impacts of water chlorination on childrens gut microbiomes, including the resistance genes and gastrointestinal pathogens that they harbored, across different phases of gut microbiome development.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of infant / toddler and child by sonnet_x2 with confidence 0.75. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “human feces metagenome”
- life stage study.title · “Effects of drinking water chlorination on childrens intestinal flora”
- life stage study.description · “young children in low income countries”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN18920763 | collection_date | 2016-10-24 | R1 | 0.85 | biosample.attribute:collection_date | 2016-10-24 |
| SAMN18920763 | country | BD | R1 | 0.90 | biosample_attr | Bangladesh: Tongi |
| SAMN18920763 | location_locality | Dhaka | R4 | 0.40 | ena.study_title | childrens intestinal flora and resistomes in Dhaka, Bangladesh |
| SAMN18920763 | subject_id | 1 | R1 | 0.85 | biosample.attribute:source_material_id | 1 |
Sequencing
132 runs over 132 samples · mean 11.71 Gbp per run (median 11.56 Gbp, total 1,546.02 Gbp; 132 runs with a base count) · layout PAIRED 132 · platform ILLUMINA 132 · models Illumina NovaSeq 6000 (132) · 91% of runs with a Sandpiper profile · first public 2021-10-02
Authors (16)
Nadimpalli ML first · Lanza VF · Montealegre MC · Sultana S · Fuhrmeister ER · Worby CJ · Teichmann L · Caduff L · Swarthout JM · Crider YS · Earl AM · Brown J · Luby SP · Islam MA · Julian TR · Pickering AJ last
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata
Downloads
PRJNA726052.csv.gz (4.6 KB) · parquet (75.7 KB) — all 132 samples, every field with route and confidence · PRJNA726052_determinations.csv.gz (4.6 KB) — 527 evidence rows