Gut microbiome intervention in type 1 diabetes, China
213 gut metagenome samples from China in an intervention study examining prebiotic/fibre and probiotic modulation of gut microbiota and secondary bile acid metabolism in type 1 diabetes patients. machine-written summary
213 samples · 213 runs · CN · Age unknown · 2025 · 6.66 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 1,002 sample values (collection date, country, latitude, location region, longitude) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC12147892 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – 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
Prebiotic / dietary fibre supplement Probiotic (live microorganisms; single strain or mixture) design single_arm_before_after · population type1_diabetes · Gut microbiome/bile acid modulating intervention (e.g. FMT/probiotic) in T1D patients
“explores targeted interventions to address them” — abstract:40347938 (study level; per-sample arms are in the intervention column below)
longitudinal — not resolvedFMT donor → recipient — not resolved
Schedule stated by the source: “T0 (baseline pre-WMT), T1W (1 week), T1M (1 month), T3M (3 months) post-WMT” (time origin: intervention start); stated follow-up 3 mo.
Washed microbiota transplantation trial in T1D; patients compared with donor microbiomes; donor/recipient sample mapping not documented.
Genera, mean relative abundance over 212 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 | 213 | 100% | 213 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| collection_date | 213 | 100% | 213 | |||
| latitude | 213 | 100% | 213 | |||
| longitude | 213 | 100% | 213 | |||
| detailed_location | 150 | 70% | ||||
| location_region | 150 | 70% | 150 |
- Restoration of intestinal secondary bile acid synthesis: A potential approach to improve pancreatic β cell function in type 1 diabetes. 2025 PMID 40347938 PMC12147892 own_data
Archive description
This study investigates the role of gut microbiota and its metabolites in type 1 diabetes (T1D). Restoring intestinal secondary bile acid synthesis may provide a new therapeutic approach to improve metabolic and immune balance in T1D.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN46967171 | collection_date | 2017-03-02/2023-10-14 | R1 | 0.90 | biosample.attribute:collection_date | 2017-03-02/2023-10-14 |
| SAMN46967171 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China |
| SAMN46967171 | latitude | 32.0600 | R1 | 0.90 | biosample.attribute:lat_lon | 32.06 N 118.79 E |
| SAMN46967171 | location_region | Jiangsu Sheng | R1 | 0.60 | biosample.attribute:lat_lon | 32.06 N 118.79 E |
| SAMN46967171 | longitude | 118.7900 | R1 | 0.90 | biosample.attribute:lat_lon | 32.06 N 118.79 E |
Sequencing
213 runs over 213 samples · mean 6.81 Gbp per run (median 6.66 Gbp, total 1,451.10 Gbp; 213 runs with a base count) · layout PAIRED 213 · platform ILLUMINA 213 · models Illumina NovaSeq X Plus (213) · 100% of runs with a Sandpiper profile · first public 2025-03-23
Authors (13)
Liu Q first · Hua Y · He R · Xiang L · Li S · Zhang Y · Chen R · Qian L · Jiang X · Wang C · Li Y · Wu H · Liu Y last
Help complete this project
3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata
Downloads
PRJNA1226940.csv.gz (6.0 KB) · parquet (78.8 KB) — all 213 samples, every field with route and confidence · PRJNA1226940_determinations.csv.gz (8.4 KB) — 1,002 evidence rows