Diet intervention and gut microbiota in adults with T2D, China
172 samples from adults with type 2 diabetes in China, studied using two diets to modulate gut microbiota; an intervention design linked microbiota changes to improved clinical parameters. machine-written summary
172 samples · 172 runs · CN · Adult · 2018 · 14.77 Gbp / sample
One study deposited as 2 BioProjects (392 catalog samples together): PRJEB14155 · PRJEB15179 · show together
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 516 sample values (collection date, country, subject id) |
| ✓ Abstract / description | 344 sample values (health condition, health condition detail) |
| ○ Full text | read; no usable statement or table · PMC10258454, PMC10435514, PMC10989819, PMC11170963 |
| ○ 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 |
| – Human verified | not yet checked by a person · I checked this project — verify it |
longitudinal — not resolved
43 of 43 people sampled more than once (172 samples; median 4, up to 4 per person).
Genera, mean relative abundance over 159 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 | 172 | 100% | ||||
| country | 172 | 100% | 172 | |||
| health_condition | 172 | 100% | 172 | |||
| subject_id | 172 | 100% | 172 | |||
| collection_date | 172 | 100% | 172 | |||
| health_condition_detail | 172 | 100% | 172 |
- Gut microbiota-derived tryptamine and phenethylamine impair insulin sensitivity in metabolic syndrome and irritable bowel syndrome. 2023 PMID 37591886 PMC10435514 own_data
- The human microbiome encodes resistance to the antidiabetic drug acarbose. 2021 PMID 34819672 PMC10258454 unsure
- A neural network-based framework to understand the type 2 diabetes-related alteration of the human gut microbiome. 2022 PMID 38868565 PMC10989819 unsure
- Deciphering unique and shared interactions between the human gut microbiota and oral antidiabetic drugs. 2024 PMID 38882498 PMC11170963 unsure
Archive description
Two diet were used to modulate gut microbiota of T2D patients. The gut microbiota changed and the host clinical parameters were improved. Several key bacteria were identified.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- body site study.title · “diets to modulate gut microbiota to alleviate”
- body site study.description · “used to modulate gut microbiota of T2D”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA4019151 | collection_date | 2015 | R1 | 0.90 | biosample.attribute:collection_date | 2015 |
| SAMEA4019151 | country | CN | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | China |
| SAMEA4019151 | health_condition | type2_diabetes | R4 | 0.50 | study.description | modulate gut microbiota of T2D patients |
| SAMEA4019151 | health_condition_detail | Type 2 diabetes patients | R4 | 0.50 | study.description | modulate gut microbiota of T2D patients |
| SAMEA4019151 | subject_id | DBH1W001 | R1 | 0.70 | sample.name_rule:alias | DBH1W00101 |
Sequencing
172 runs over 172 samples · mean 15.23 Gbp per run (median 14.77 Gbp, total 2,619.07 Gbp; 172 runs with a base count) · layout PAIRED 172 · platform ILLUMINA 172 · models Illumina HiSeq 2500 (172) · 92% of runs with a Sandpiper profile · first public 2018-03-11
Authors (46)
Balaich J first · Estrella M · Wu G · Jeffrey PD · Biswas A · Zhao L · Korennykh A · Donia MS last · Zhai L first · Xiao H · Lin C · Wong HLX · Lam YY · Gong M · Ning Z · Huang C · Zhang Y · Yang C · Luo J · Zhang L · Zhang C · Lau JY · Lu A · Lau LT · Jia W · Bian ZX last · Guo S first · Zhang H · Chu Y · Jiang Q · Ma Y last · Ren H first · Shi Z · Yang F · Wang S · Yuan F · Li T · Li M · Zhu J · Li J · Wu K · Ning G · Kristiansen K · Wang W · Gu Y · Zhong H last
Downloads
PRJEB14155.csv.gz (4.6 KB) · parquet (75.3 KB) — all 172 samples, every field with route and confidence · PRJEB14155_determinations.csv.gz (5.9 KB) — 860 evidence rows