Ex vivo fermentation of yeast vs whey/soy protein, Belgium
30 samples from an ex vivo SIFR fermentation study (Belgium) modeling older adults' (50-65) gut microbiome, comparing yeast protein to whey and soy protein isolate supplementation; intervention design. machine-written summary
30 samples · 30 runs · BE · Adult · 2025 · 0.58 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 210 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 120 sample values (antibiotic exposure, health condition, health condition detail, sex) · PMC12816187 |
| ○ 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 |
Non-microbial dietary supplement (vitamins · population healthy_control · Ex vivo fermentation: yeast protein vs whey protein vs soy protein isolate, older adults
“comparing its effects to whey protein isolate” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal
6 of 6 people sampled more than once (30 samples; median 5, up to 5 per person) · follow-up median 1 d (max 1 d) · median interval between samples 1 d (time from timepoint labels). Schedule stated by the source: “Single fecal donation per subject, fermented ex vivo in bioreactors with samples taken at 0h and 24h of colonic incubation” (time origin: other).
Each row is one person (6 shown); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 30 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 | 30 | 100% | ||||
| country | 30 | 100% | 30 | |||
| health_condition | 30 | 100% | 30 | |||
| subject_id | 30 | 100% | 30 | |||
| antibiotic_exposure | 30 | 100% | 30 | |||
| collection_date | 30 | 100% | 30 | |||
| detailed_location | 30 | 100% | ||||
| health_condition_detail | 30 | 100% | 30 | |||
| latitude | 30 | 100% | 30 | |||
| location_region | 30 | 100% | 30 | |||
| longitude | 30 | 100% | 30 | |||
| sex | 30 | 100% | 30 | |||
| timepoint_label | 30 | 100% | 30 |
- Yeast protein modulates metabolites derived from the human gut microbiota of older male adults <i>ex vivo</i> to strengthen gut barrier function and reduce inflammation. 2025 PMID 41568030 PMC12816187 own_data
Archive description
Using the clinically predictive ex vivo SIFR technology (Systemic Intestinal Fermentation research), we examined how YP influences the microbiome of older human adults (50-65 years, n = 6), comparing its effects to whey protein isolate (WPI) and soy protein isolate (SPI).
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host study.description · “microbiome of older human adults”
- body site run.scientific_name · “human gut metagenome”
- life stage study.description · “older human adults (50-65 years”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN53287634 | antibiotic_exposure | no | R3 | 0.70 | paper.fulltext.methods | no antibiotic use in the past 3 months |
| SAMN53287634 | collection_date | 2024-03-01 | R1 | 0.90 | biosample.attribute:collection_date | 2024-03-01 |
| SAMN53287634 | country | BE | R1 | 0.90 | sample.attr.geo_loc_name | Belgium |
| SAMN53287634 | health_condition | healthy_control | R3 | 0.70 | paper.fulltext.methods | no gastrointestinal disorders (cancer, ulcers |
| SAMN53287634 | health_condition_detail | no gastrointestinal disorders (cancer, ulcers, IBD) | R3 | 0.70 | paper.fulltext.methods | no gastrointestinal disorders (cancer, ulcers |
| SAMN53287634 | latitude | 51.0500 | R1 | 0.90 | biosample.attribute:lat_lon | 51.05 N 3.73333 E |
| SAMN53287634 | location_region | Flanders | R1 | 0.60 | biosample.attribute:lat_lon | 51.05 N 3.73333 E |
| SAMN53287634 | longitude | 3.7333 | R1 | 0.90 | biosample.attribute:lat_lon | 51.05 N 3.73333 E |
| SAMN53287634 | sex | male | R3 | 0.70 | paper.fulltext.methods | 50–65 years of age, male |
| SAMN53287634 | subject_id | 1 | R1 | 0.70 | sample.name_rule:library_names | 1_0h_INO_1 |
| SAMN53287634 | timepoint_label | 0h | R1 | 0.70 | sample.name_rule:library_names | 1_0h_INO_1 |
Sequencing
30 runs over 30 samples · mean 0.66 Gbp per run (median 0.58 Gbp, total 19.94 Gbp; 30 runs with a base count) · layout PAIRED 30 · platform ILLUMINA 30 · models Illumina NovaSeq 6000 (30) · 100% of runs with a Sandpiper profile · first public 2025-12-20 – 2026-01-20
Authors (8)
Van den Abbeele P first · Vu LD · Poppe J · van Hengel IAJ · Baudot A · Zhang Y · Chen Z · Yan J last
Downloads
PRJNA1365657.csv.gz (1.6 KB) · parquet (71.5 KB) — all 30 samples, every field with route and confidence · PRJNA1365657_determinations.csv.gz (2.8 KB) — 330 evidence rows