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PRJNA762199 SRP337805

Gut microbiota in depression vs healthy adults, Moscow

Metagenomic analysis of gut microbiota of people with depression disorders for determination of the composition of the marker genes.

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

Sources
✓Sequence archive 552✓Abstract / description 148○Full text✓Supplementary tables 29✓External resources 188–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive552 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
✓ Abstract / description148 sample values (location site, subject id)
○ Full textread; no usable statement or table · PMC10671666, PMC11876151, PMC12174422, PMC13470864, PMC9209496, PMC9496097
✓ Supplementary tables29 sample values (bmi)
✓ External resources188 sample values (age, health condition, health condition detail, sex) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
adult74
Condition
healthy_control38
neurological_psychiatric36
Sex
female37
male37
Country
RU74
Body site
primary74
Collected 2020–2021
2020: 55 samples2021: 19 samples20202021
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 74 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 12.69 Gbp per sample0130Gbp
Community composition
Blautia_A 7.5%Faecalibacterium 7.2%Bifidobacterium 6.0%Roseburia 5.1%Prevotella 4.4%Bacteroides 4.1%Phocaeicola 3.0%Collinsella 2.9%Ruminococcoides 2.6%Alistipes 2.4%Mediterraneibacter 2.0%Gemmiger 2.0%not assigned to a genus 4.3%other genera 46.4%

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 coverage
fieldsamplescoverageR1R2R3R4
age_category74 100%
country74 100%74
health_condition74 100%3638
subject_id74 100%74
age_at_collection_days74 100%74
collection_date74 100%74
detailed_location74 100%
health_condition_detail74 100%3638
latitude74 100%74
location_locality74 100%74
location_region74 100%74
location_site74 100%74
longitude74 100%74
sex74 100%3638
bmi29 39%29
Papers (6)
  • 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
Details
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)
samplefieldvaluerouteconf.sourcequote
SAMN21380290age_at_collection_days13879.5R20.75external.gmrepo sourcehost_age: 38.0
SAMN21380304bmi28.00R20.85paper.supp.Supplementary Table S1.xlsx[Supplementary Table S1!BMI, kg/m2]BMI, kg/m2: 28
SAMN21380290collection_date2020-06-05R10.90biosample.attribute:collection_date2020-06-05
SAMN21380290countryRUR10.90sample.attr.geo_loc_nameRussia: Moscow
SAMN21380290health_conditionneurological_psychiatricR10.70sample.name_rule:aliasPD_2
SAMN21380304health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN21380290health_condition_detailPDR10.70sample.name_rule:aliasPD_2
SAMN21380304health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN21380290latitude55.4500R10.90biosample.attribute:lat_lon55.45 N 37.37 E
SAMN21380290location_localityMoscowR10.85biosample.attribute:geo_loc_nameRussia: Moscow
SAMN21380290location_regionMoscowR10.85biosample.attribute:geo_loc_nameRussia: Moscow
SAMN21380290location_siteMental-health clinic No. 1 named after N.A. AlexeevR40.40ena.study_descriptionMental-health clinic No. 1 named after N.A. Alexeev
SAMN21380290longitude37.3700R10.90biosample.attribute:lat_lon55.45 N 37.37 E
SAMN21380290sexmaleR10.70sample.name_rule:descriptionMetagenome was isolated from feces of a patient with major depressive disorder (male, 38 years
SAMN21380304sexmaleR20.75external.gmrepo sourcesex: male
SAMN21380290subject_idSAMN21380290R40.60design.one_sample_per_subject:abstractWe 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

Samples (74 · every field this project has values for · hover a cell for its source)
Loading the sample table…