Gut microbiota in depression vs healthy adults, Moscow
74 gut metagenome samples from adults in Moscow, Russia, comparing individuals with depression disorders (36 samples) to healthy controls (38 samples) in a case-control study. machine-written summary
74 samples · 74 runs · RU · Adult · 2021 · 12.69 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 552 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude) |
| ✓ Abstract / description | 148 sample values (location site, subject id) |
| ○ Full text | read; no usable statement or table · PMC10671666, PMC11876151, PMC12174422, PMC13470864, PMC9209496, PMC9496097 |
| ✓ Supplementary tables | 29 sample values (bmi) |
| ✓ External resources | 188 sample values (age, health condition, health condition detail, sex) · from GMrepo v3 |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 64 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 | 74 | 100% | ||||
| country | 74 | 100% | 74 | |||
| health_condition | 74 | 100% | 36 | 38 | ||
| subject_id | 74 | 100% | 74 | |||
| age_at_collection_days | 74 | 100% | 74 | |||
| collection_date | 74 | 100% | 74 | |||
| detailed_location | 74 | 100% | ||||
| health_condition_detail | 74 | 100% | 36 | 38 | ||
| latitude | 74 | 100% | 74 | |||
| location_locality | 74 | 100% | 74 | |||
| location_region | 74 | 100% | 74 | |||
| location_site | 74 | 100% | 74 | |||
| longitude | 74 | 100% | 74 | |||
| sex | 74 | 100% | 36 | 38 | ||
| bmi | 29 | 39% | 29 |
- Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder. 2022 PMID 36140263 PMC9496097 own_data
- Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder. 2025 PMID 40041700 PMC11876151 own_data
- Deep embeddings to comprehend and visualize microbiome protein space. 2022 PMID 35725732 PMC9209496 unsure
- Metagenomics reveals unique gut mycobiome biomarkers in major depressive disorder - a non-invasive method. 2025 PMID 40535544 PMC12174422 unsure
- Gut microbial biomarkers for major depressive disorder: a cross-sectional study. 2026 PMID 42598412 PMC13470864 unsure
1 more
- Unveiling the Connection between Microbiota and Depressive Disorder through Machine Learning 2023 PMC10671666
Archive description
Gut metagenomes were isolated from patients with depression disorders and a group of healthy volunteers. The project is being conducted by Vavilov Institute of General Genetics RAS and Mental-health clinic No. 1 named after N.A. Alexeev
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 · “Metagenomic analysis of gut microbiota of people”
- body site study.description · “Gut metagenomes were isolated”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- life stage study.description · “group of healthy volunteers . The project”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN21380290 | age_at_collection_days | 13879.5 | R2 | 0.75 | external.gmrepo source | host_age: 38.0 |
| SAMN21380304 | bmi | 28.00 | R2 | 0.85 | paper.supp.Supplementary Table S1.xlsx[Supplementary Table S1!BMI, kg/m2] | BMI, kg/m2: 28 |
| SAMN21380290 | collection_date | 2020-06-05 | R1 | 0.90 | biosample.attribute:collection_date | 2020-06-05 |
| SAMN21380290 | country | RU | R1 | 0.90 | sample.attr.geo_loc_name | Russia: Moscow |
| SAMN21380290 | health_condition | neurological_psychiatric | R1 | 0.70 | sample.name_rule:alias | PD_2 |
| SAMN21380304 | health_condition | healthy_control | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMN21380290 | health_condition_detail | PD | R1 | 0.70 | sample.name_rule:alias | PD_2 |
| SAMN21380304 | health_condition_detail | Health | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMN21380290 | latitude | 55.4500 | R1 | 0.90 | biosample.attribute:lat_lon | 55.45 N 37.37 E |
| SAMN21380290 | location_locality | Moscow | R1 | 0.85 | biosample.attribute:geo_loc_name | Russia: Moscow |
| SAMN21380290 | location_region | Moscow | R1 | 0.85 | biosample.attribute:geo_loc_name | Russia: Moscow |
| SAMN21380290 | location_site | Mental-health clinic No. 1 named after N.A. Alexeev | R4 | 0.40 | ena.study_description | Mental-health clinic No. 1 named after N.A. Alexeev |
| SAMN21380290 | longitude | 37.3700 | R1 | 0.90 | biosample.attribute:lat_lon | 55.45 N 37.37 E |
| SAMN21380290 | sex | male | R1 | 0.70 | sample.name_rule:description | Metagenome was isolated from feces of a patient with major depressive disorder (male, 38 years |
| SAMN21380304 | sex | male | R2 | 0.75 | external.gmrepo source | sex: male |
| SAMN21380290 | subject_id | SAMN21380290 | R4 | 0.60 | design.one_sample_per_subject:abstract | We looked at the GM of 36 MDD patients, compared with that of 38 healthy volunteers |
Sequencing
74 runs over 74 samples · mean 12.73 Gbp per run (median 12.69 Gbp, total 941.93 Gbp; 74 runs with a base count) · layout PAIRED 74 · platform ILLUMINA 74 · models HiSeq X Ten (74) · 86% of runs with a Sandpiper profile · first public 2021-09-21 – 2021-11-02
Authors (12)
Odrzywolek K first · Karwowska Z · Majta J · Byrski A · Milanowska-Zabel K · Kosciolek T last · Wang X first · Cao D · Zhang H · Chen W · Sun J · Hu H last
Downloads
PRJNA762199.csv.gz (3.5 KB) · parquet (75.8 KB) — all 74 samples, every field with route and confidence · PRJNA762199_determinations.csv.gz (9.1 KB) — 917 evidence rows