Gut microbiome in Alzheimer's disease vs healthy elderly, Germany
Case-control study of 175 gut microbiome samples from elderly and adult participants in Germany, comparing amyloid-positive Alzheimer's disease patients with cognitively healthy controls. machine-written summary
175 samples · 175 runs · DE · Elderly · 2022 · 5.13 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 1,893 sample values (age, bmi, collection date, country, health condition, health condition detail, latitude, location region) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10464408, PMC11334437, PMC11954268, PMC13035836, PMC9063165 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| ✓ External resources | 20 sample values (bmi) · from Meta2DB (LLNL) |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 156 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 | 175 | 100% | ||||
| country | 175 | 100% | 175 | |||
| health_condition | 175 | 100% | 175 | |||
| subject_id | 175 | 100% | 175 | |||
| age_at_collection_days | 175 | 100% | 175 | |||
| collection_date | 175 | 100% | 175 | |||
| detailed_location | 175 | 100% | ||||
| health_condition_detail | 175 | 100% | 175 | |||
| latitude | 175 | 100% | 175 | |||
| location_region | 175 | 100% | 175 | |||
| longitude | 175 | 100% | 175 | |||
| sex | 175 | 100% | 175 | |||
| bmi | 163 | 93% | 143 | 20 |
- Signature of Alzheimer's Disease in Intestinal Microbiome: Results From the AlzBiom Study. 2022 PMID 35516807 PMC9063165 own_data
- A metagenomic study of gut viral markers in amyloid-positive Alzheimer's disease patients. 2023 PMID 37608325 PMC10464408 own_data
- Meta-analysis of the human gut microbiome uncovers shared and distinct microbial signatures between diseases. 2024 PMID 39078158 PMC11334437 unsure
- Modeling microbiome-trait associations with taxonomy-adaptive neural networks. 2025 PMID 40158141 PMC11954268 unsure
- Cross-domain metabolic interactions link Methanobrevibacter smithii to colorectal cancer microbial ecosystems. 2026 PMID 41720792 PMC13035836 unsure
Archive description
Changes in intestinal microbiome composition have been described in animal models of Alzheimer`s disease (AD) and AD patients. Here we investigated how well taxonomic and functional intestinal microbiome data can be used to discriminate between amyloid-positive AD patients and cognitively healthy elderly controls.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of elderly and adult by sonnet_x2 with confidence 0.72. Assay shotgun_dna.
- host run.scientific_name · “Homo sapiens”
- body site study.title · “intestinal microbiome”
- life stage study.description · “cognitively healthy elderly controls”
- life stage sample.attr.host_age · “67 (n=38/175)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA13959528 | age_at_collection_days | 17897.2 | R1 | 0.70 | sample.attr.host_age | 49 |
| SAMEA13959528 | bmi | 18.0 | R1 | 0.90 | sample.attr.bmi | 18.00 |
| SAMEA13959539 | bmi | 20.1022 | R2 | 0.70 | external.meta2db source | host_body_mass_index: 20.1022 kilogram per meter squared |
| SAMEA13959528 | collection_date | 2018 | R1 | 0.90 | biosample.attribute:collection_date | 2018 |
| SAMEA13959528 | country | DE | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Germany |
| SAMEA13959528 | health_condition | neurological_psychiatric | R1 | 0.85 | biosample.attribute:DESCRIPTION | Stool Sample from amyloid positive Participant |
| SAMEA13959528 | health_condition_detail | Stool Sample from amyloid positive Participant | R1 | 0.85 | biosample.attribute:DESCRIPTION | Stool Sample from amyloid positive Participant |
| SAMEA13959528 | latitude | 48.5216 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 48.5216364 9.0576448 |
| SAMEA13959528 | location_region | Baden-Wuerttemberg | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 48.5216364 9.0576448 |
| SAMEA13959528 | longitude | 9.0576 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 48.5216364 9.0576448 |
| SAMEA13959528 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
| SAMEA13959528 | subject_id | 89 | R1 | 0.85 | sample.attr.subject_id | 89 |
Sequencing
175 runs over 175 samples · mean 5.20 Gbp per run (median 5.13 Gbp, total 910.61 Gbp; 175 runs with a base count) · layout PAIRED 175 · platform ILLUMINA 175 · models Illumina HiSeq 2000 (175) · 89% of runs with a Sandpiper profile · first public 2022-04-16
Authors (38)
Laske C first · Müller S · Preische O · Ruschil V · Munk MHJ · Honold I · Peter S · Schoppmeier U · Willmann M last · Ghorbani M first · Ferreira D · Maioli S last · Jin DM first · Morton JT · Bonneau R last · Jiang Y first · Aton M · Zhu Q · Lu YY last · Mohammadzadeh R first · Mahnert A · Zurabishvili T · Wink L · Kumpitsch C · Habisch H · Sprengel J · Filek K · Mertelj P · Pernitsch D · Hingerl K · Durdevic M · Gorkiewicz G · Diener C · Loy A · Kolb D · Trautwein C · Madl T · Moissl-Eichinger C last
Downloads
PRJEB47976.csv.gz (6.6 KB) · parquet (79.3 KB) — all 175 samples, every field with route and confidence · PRJEB47976_determinations.csv.gz (15.5 KB) — 1,913 evidence rows