Gut metagenome in T2D, acarbose vs vildagliptin, Beijing
181 fecal samples from adults with type 2 diabetes in Beijing, China, from a randomized, open-label trial comparing acarbose and vildagliptin treatment, sampled at baseline and 24 weeks to study microbiome-drug interaction. machine-written summary
181 samples · 181 runs · CN · Adult · 2022 · 9.26 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 905 sample values (collection date, country, latitude, location locality, longitude) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 543 sample values (health condition, health condition detail, location site) · PMC11170963, PMC9477956 |
| ✓ Supplementary tables | 980 sample values (age, bmi, intervention, sex, subject id, timepoint) |
| – 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 |
intervention · arms resolved
82 people have samples in more than one arm.
Non-antibiotic pharmaceutical given as the study intervention (metformin design randomized_controlled_trial · population type2_diabetes · Acarbose vs vildagliptin, 24-week RCT in T2D patients
“randomly assigned to the acarbose or vildagliptin group” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal
82 of 82 people sampled more than once (164 samples; median 2, up to 2 per person) · follow-up median 6 mo (max 3.0 y) · median interval between samples 6 mo (time from timepoint labels).
Each row is one person (36 shown of 82); dots are samples at days since that person's first sample.
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 181 | 100% | ||||
| country | 181 | 100% | 181 | |||
| health_condition | 181 | 100% | 181 | |||
| subject_id | 164 | 91% | 164 | |||
| collection_date | 181 | 100% | 181 | |||
| detailed_location | 181 | 100% | ||||
| health_condition_detail | 181 | 100% | 181 | |||
| latitude | 181 | 100% | 181 | |||
| location_locality | 181 | 100% | 181 | |||
| location_site | 181 | 100% | 181 | |||
| longitude | 181 | 100% | 181 | |||
| intervention | 164 | 91% | 164 | |||
| sex | 164 | 91% | 164 | |||
| timepoint_label | 164 | 91% | 164 | |||
| age_at_collection_days | 163 | 90% | 163 | |||
| bmi | 161 | 89% | 161 |
- Metagenomic analysis reveals crosstalk between gut microbiota and glucose-lowering drugs targeting the gastrointestinal tract in Chinese patients with type 2 diabetes: a 6 month, two-arm randomised trial. 2022 PMID 35930018 PMC9477956 own_data
- Deciphering unique and shared interactions between the human gut microbiota and oral antidiabetic drugs. 2024 PMID 38882498 PMC11170963 unsure
Archive description
BJT2D study was designed as an exploratory, randomized, controlled, open-labeled, interventional trial. One hundred newly diagnosed overweight/obese T2D patients were recruited for the study and were randomly assigned to the acarbose or vildagliptin group in a 1:1 ratio. During the 24-week intervention, lifestyle guidance was provided by the investigators at baseline, 24-week (endpoint) visits to assess medication adherence. And fecal samples were selected and sequenced at baseline and 24-week. The aim of this study to investigate the microbiome-drug interaction.
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 · “human gut metagenome Raw sequence”
- body site study.description · “medication adherence. And fecal samples were selected”
- 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 |
|---|---|---|---|---|---|---|
| SAMN27681165 | age_at_collection_days | 23011.0 | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!Age (Years)] | Sample ID=V1-102100001; Age (Years)=63 |
| SAMN27681165 | bmi | 25.12 | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!BMI (kg/m^2)] | Sample ID=V1-102100001; BMI (kg/m^2)=25.12 |
| SAMN27681165 | collection_date | 2017 | R1 | 0.90 | biosample.attribute:collection_date | 2017 |
| SAMN27681165 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China:beijing |
| SAMN27681165 | health_condition | type2_diabetes | R3 | 0.70 | paper.fulltext.methods | newly diagnosed, treatment-naive type 2 diabetes |
| SAMN27681165 | health_condition_detail | Newly diagnosed, treatment-naive type 2 diabetes with overweight/obesity | R3 | 0.70 | paper.fulltext.methods | newly diagnosed, treatment-naive type 2 diabetes |
| SAMN27681165 | intervention | no_intervention | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!Intervention] | Sample ID=V1-102100001; Intervention=Acarbose |
| SAMN27681165 | latitude | 39.5600 | R1 | 0.90 | biosample.attribute:lat_lon | 39.56 N 116.20 E |
| SAMN27681165 | location_locality | Beijing | R1 | 0.85 | biosample.attribute:geo_loc_name | China:beijing |
| SAMN27681165 | location_site | Pinggu Hospital | R3 | 0.70 | paper.fulltext.abstract | recruited from the Pinggu Hospital |
| SAMN27681165 | longitude | 116.2000 | R1 | 0.90 | biosample.attribute:lat_lon | 39.56 N 116.20 E |
| SAMN27681165 | sex | female | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!Sex] | Sample ID=V1-102100001; Sex=female |
| SAMN27681165 | subject_id | P001 | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!Patient ID] | Sample ID=V1-102100001; Patient ID=P001 |
| SAMN27681165 | timepoint_label | D0 | R2 | 0.80 | paper.supp.IMT2-3-e179-s001.xlsx[ Table S2!Time] | Sample ID=V1-102100001; Time=D0 |
Sequencing
181 runs over 181 samples · mean 9.08 Gbp per run (median 9.26 Gbp, total 1,643.18 Gbp; 181 runs with a base count) · layout PAIRED 181 · platform BGISEQ 181 · models BGISEQ-500 (181) · 0% of runs with a Sandpiper profile · first public 2022-04-26
Authors (23)
Zhang X first · Ren H · Zhao C · Shi Z · Qiu L · Yang F · Zhou X · Han X · Wu K · Zhong H · Li Y · Li J · Ji L last · Wang S · Yuan F · Li T · Li M · Zhu J · Zhang Y · Ning G · Kristiansen K · Wang W · Gu Y
Downloads
PRJNA826552.csv.gz (6.2 KB) · parquet (79.6 KB) — all 181 samples, every field with route and confidence · PRJNA826552_determinations.csv.gz (20.1 KB) — 2,428 evidence rows