Gut microbiota and metformin failure in T2DM, Zhengzhou
50 faecal samples from adult type 2 diabetes mellitus patients in Zhengzhou, China, in a prospective intervention study examining gut microbiota and metformin monotherapy drug therapy response. machine-written summary
72 samples · 72 runs · CN · Adult · 2025 · 10.58 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 373 sample values (age, collection date, country, health condition, health condition detail, intervention, latitude, location locality) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 124 sample values (health condition, health condition detail) · PMC12145038 |
| ○ 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 |
intervention — arms not resolved
Non-antibiotic pharmaceutical given as the study intervention (metformin design observational_with_procedure · population type2_diabetes · Metformin monotherapy in newly diagnosed T2DM patients
“newly diagnosed type 2 diabetes mellitus (T2DM) patients treated with metformin monotherapy” — abstract:40487637 (study level; per-sample arms are in the intervention column below)
longitudinal
36 of 36 people sampled more than once (72 samples; median 2, up to 2 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 3 mo (time from visit codes mapped to the stated schedule). Schedule stated by the source: “Monthly follow-up visits; stool sampled before and after metformin monotherapy treatment” (time origin: intervention_start).
Each row is one person (3 shown of 36); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 44 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 | 72 | 100% | ||||
| country | 72 | 100% | 72 | |||
| health_condition | 72 | 100% | 10 | 62 | ||
| subject_id | 72 | 100% | 72 | |||
| health_condition_detail | 72 | 100% | 10 | 62 | ||
| detailed_location | 50 | 69% | ||||
| intervention | 50 | 69% | 50 | |||
| location_locality | 50 | 69% | 50 | |||
| timepoint_label | 50 | 69% | 50 | |||
| age_at_collection_days | 10 | 14% | 10 | |||
| collection_date | 10 | 14% | 10 | |||
| latitude | 10 | 14% | 10 | |||
| longitude | 10 | 14% | 10 | |||
| sex | 10 | 14% | 10 | |||
| location_region | 9 | 12% | 9 |
- A critical role for <i>Phocaeicola vulgatus</i> in negatively impacting metformin response in diabetes. 2025 PMID 40487637 PMC12145038 own_data
Archive description
In this study, we designed a prospective clinical trial to examine metformin monotherapy failure patients pertinent to gut microbiota.
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 · “Study of Gut Microbiota Mediated Metformin”
- body site study.description · “patients pertinent to gut microbiota.”
- 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 |
|---|---|---|---|---|---|---|
| SAMN37155418 | age_at_collection_days | 17897.2 | R1 | 0.70 | sample.attr.host_age | 49 |
| SAMN37155418 | collection_date | 2019-05 | R1 | 0.90 | biosample.attribute:collection_date | 2019-05 |
| SAMN25888864 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China:Zhengzhou |
| SAMN37155418 | health_condition | type2_diabetes | R1 | 0.90 | biosample_attr | Type 2 Diabetes Mellitus |
| SAMN25888864 | health_condition | type2_diabetes | R3 | 0.70 | paper.fulltext.methods | Chinese Han patients with naïve T2DM were recruited |
| SAMN37155418 | health_condition_detail | Type 2 Diabetes Mellitus | R1 | 0.90 | sample.attr.host_disease | Type 2 Diabetes Mellitus |
| SAMN25888864 | health_condition_detail | newly diagnosed type 2 diabetes mellitus treated with metformin monotherapy | R3 | 0.70 | paper.fulltext.methods | Chinese Han patients with naïve T2DM were recruited |
| SAMN25888864 | intervention | no_intervention | R1 | 0.70 | sample.name_rule:title | NRBM |
| SAMN37155418 | intervention | no_intervention | R1 | 0.85 | biosample.attribute:chem_administration | chem_administration: NO |
| SAMN37155418 | latitude | 34.7600 | R1 | 0.90 | biosample.attribute:lat_lon | 34.76 N 113.62 E |
| SAMN25888864 | location_locality | Zhengzhou | R1 | 0.85 | biosample.attribute:geo_loc_name | China:Zhengzhou |
| SAMN37155418 | location_region | Henan Sheng | R1 | 0.60 | biosample.attribute:lat_lon | 34.76 N 113.62 E |
| SAMN37155418 | longitude | 113.6200 | R1 | 0.90 | biosample.attribute:lat_lon | 34.76 N 113.62 E |
| SAMN37155418 | sex | male | R1 | 0.90 | sample.attr.host_sex | male |
| SAMN25888864 | subject_id | C49 | R1 | 0.70 | sample.name_rule:source_material_id | 160468G_C49_1 |
| SAMN25888865 | subject_id | F2 | R1 | 0.70 | sample.name_rule:library_name | 160468G_F2_1 |
| SAMN37155418 | subject_id | S4 | R1 | 0.85 | biosample.attribute:isolate | isolate: S4 |
| SAMN25888864 | timepoint_label | 1 | R1 | 0.70 | sample.name_rule:source_material_id | 160468G_C49_1 |
| SAMN37155418 | timepoint_label | the non-responder (before metformin treatment) | R1 | 0.85 | biosample.attribute:DESCRIPTION | DESCRIPTION: the non-responder (before metformin treatment) |
Sequencing
72 runs over 72 samples · mean 10.81 Gbp per run (median 10.58 Gbp, total 778.22 Gbp; 72 runs with a base count) · layout PAIRED 72 · platform ILLUMINA 72 · models Illumina NovaSeq 6000 (72) · 89% of runs with a Sandpiper profile · first public 2025-01-29 – 2025-05-16
Authors (17)
Chen M first · Peng Y · Hu Y · Kang Z · Chen T · Zhang Y · Chen X · Li Q · Yuan Z · Wu Y · Xu H · Zhou G · Liu T · Zhou H · Yuan C · Huang W · Zhang W last
Downloads
PRJNA806510.csv.gz (3.2 KB) · parquet (75.2 KB) — all 72 samples, every field with route and confidence · PRJNA806510_determinations.csv.gz (5.3 KB) — 497 evidence rows