Unsaturated fat timing and gut microbiome in prediabetes
Fecal samples (N=120) from 60 adults with prediabetes in China studied during a 12-week randomized feeding trial examining effects of unsaturated fat intake timing and type on glucose metabolism via metagenomic sequencing. machine-written summary
120 samples · 120 runs · CN · Adult · 2025 · 6.31 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 960 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint) |
| ✓ Abstract / description | 240 sample values (health condition, health condition detail) |
| ○ Full text | read; no usable statement or table · PMC12056104 |
| ○ 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
Controlled / prescribed diet or feeding regimen design randomized_controlled_trial · population type2_diabetes · USFA (MUFA/PUFA) feeding timed at lunch vs dinner, 12-week RCT
“randomized, controlled, 2 × 2 factorial-designed feeding trial” — abstract:40328731 (study level; per-sample arms are in the intervention column below)
longitudinal
60 of 60 people sampled more than once (120 samples; median 2, up to 2 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 3 mo (time from collection dates). Schedule stated by the source: “Fecal samples collected at baseline and after a 12-week feeding intervention (fixed collection time each visit)” (time origin: intervention start); stated follow-up 3 mo.
Each row is one person (36 shown of 60); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 119 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 | 120 | 100% | ||||
| country | 120 | 100% | 120 | |||
| health_condition | 120 | 100% | 120 | |||
| subject_id | 120 | 100% | 120 | |||
| collection_date | 120 | 100% | 120 | |||
| detailed_location | 120 | 100% | ||||
| health_condition_detail | 120 | 100% | 120 | |||
| latitude | 120 | 100% | 120 | |||
| location_locality | 120 | 100% | 120 | |||
| location_region | 120 | 100% | 120 | |||
| longitude | 120 | 100% | 120 | |||
| timepoint_label | 120 | 100% | 120 |
- Timing of unsaturated fat intake improves insulin sensitivity via the gut microbiota-bile acid axis: a randomized controlled trial. 2025 PMID 40328731 PMC12056104 own_data
Archive description
We conducted a randomized feeding trial to investigate the effects of intake timing and type of USFA on glycemic control in individuals with prediabetes.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.65. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “human gut metagenome”
- body site study.title · “Metagenomic sequencing of fecal samples”
- life stage study.description · “individuals with prediabetes”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN47485679 | collection_date | 2021-09-01 | R1 | 0.90 | biosample.attribute:collection_date | 2021-09-01 |
| SAMN47485679 | country | CN | R1 | 0.90 | sample.attr.geo_loc_name | China: Qiqihar |
| SAMN47485679 | health_condition | type2_diabetes | R4 | 0.50 | paper.abstract | seventy prediabetes participants |
| SAMN47485679 | health_condition_detail | All subjects had prediabetes | R4 | 0.50 | paper.abstract | seventy prediabetes participants |
| SAMN47485679 | latitude | 47.3500 | R1 | 0.90 | biosample.attribute:lat_lon | 47.35 N 123.99 E |
| SAMN47485679 | location_locality | Qiqihar | R1 | 0.85 | biosample.attribute:geo_loc_name | China: Qiqihar |
| SAMN47485679 | location_region | Heilongjiang Sheng | R1 | 0.60 | biosample.attribute:lat_lon | 47.35 N 123.99 E |
| SAMN47485679 | longitude | 123.9900 | R1 | 0.90 | biosample.attribute:lat_lon | 47.35 N 123.99 E |
| SAMN47485679 | subject_id | 1.1 | R1 | 0.70 | sample.name_rule:alias | B1.1 |
| SAMN47485679 | timepoint_label | baseline | R1 | 0.70 | sample.name_rule:alias | B1.1 |
Sequencing
120 runs over 120 samples · mean 6.33 Gbp per run (median 6.31 Gbp, total 759.95 Gbp; 120 runs with a base count) · layout PAIRED 120 · platform ILLUMINA 120 · models Illumina NovaSeq 6000 (120) · 99% of runs with a Sandpiper profile · first public 2025-04-27
Authors (22)
Wei C first · Xu X · Zhang J · Wang X · Han T · Zhang Y · Pan S · Ming Z · Li R · Lou F · Cheng Y · Xu H · Sun X · Geng G · Pan Y · Liu Q · Qi H · Yan X · Dang K · Zhou J · Sun C · Li Y last
Downloads
PRJNA1238858.csv.gz (3.9 KB) · parquet (75.3 KB) — all 120 samples, every field with route and confidence · PRJNA1238858_determinations.csv.gz (8.8 KB) — 1,200 evidence rows