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PRJNA1469445 SRP703027

WGS stool metagenomics, drug therapy case-control, Russia

WGS metagenomics data of stool samples of 109 patients and control group participants from 3 hospitals of Central Region of Russia

218 stool metagenome samples from hospitalized patients and controls across Arkhangelsk and Moscow, Russia, collected before and after hospital therapy to study drug therapy effects on gut microbiome in a case-control design. machine-written summary

218 samples · 218 runs · RU · Age unknown · 2026 · 6.05 Gbp / sample

Sources
✓Sequence archive 1,744✓Abstract / description 218–Full text–Supplementary tables–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,744 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint)
✓ Abstract / description218 sample values (health condition detail)
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Non-antibiotic pharmaceutical given as the study intervention (metformin design observational_with_procedure · Hospital therapy medications; stool sampled before admission and after discharge

“impact of different therapy medications on gut microbiome” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
2 sampling locations · 1 country
Age
unknown218
Country
RU218
Body site
primary218
Collected 2024–2025
2024: 172 samples2025: 46 samples20242025
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 %)this project, 1–3 Gbp: 6 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 203 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 9 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 6.05 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

109 of 109 people sampled more than once (218 samples; median 2, up to 2 per person) · follow-up median 7 d (max 19 d) · median interval between samples 7 d (time from collection dates). Schedule stated by the source: “Stool collected before hospital admission and after discharge (median hospitalization 6 days)” (time origin: admission); stated follow-up 6 d.

A-51A-51: day 0A-51: day 8AO-201AO-201: day 0AO-201: day 7AO-203AO-203: day 0AO-203: day 7AO-205AO-205: day 0AO-205: day 6AO-206AO-206: day 0AO-206: day 10AO-207AO-207: day 0AO-207: day 7AO-208AO-208: day 0AO-208: day 7AOCH-001AOCH-001: day 0AOCH-001: day 6AOCH-002AOCH-002: day 0AOCH-002: day 5AOCH-003AOCH-003: day 0AOCH-003: day 5AOCH-004AOCH-004: day 0AOCH-004: day 5AOCH-005AOCH-005: day 0AOCH-005: day 6AOCH-006AOCH-006: day 0AOCH-006: day 6AOCH-007AOCH-007: day 0AOCH-007: day 6AS-003AS-003: day 0AS-003: day 7AS-004AS-004: day 0AS-004: day 6B-001B-001: day 0B-001: day 6B-002B-002: day 0B-002: day 7B-003B-003: day 0B-003: day 7B-004B-004: day 0B-004: day 8B-005B-005: day 0B-005: day 7B-006B-006: day 0B-006: day 6B-007B-007: day 0B-007: day 6B-008B-008: day 0B-008: day 7B-009B-009: day 0B-009: day 7B-010B-010: day 0B-010: day 7B-011B-011: day 0B-011: day 7B-012B-012: day 0B-012: day 7B-013B-013: day 0B-013: day 7B-014B-014: day 0B-014: day 7B-015B-015: day 0B-015: day 8B-016B-016: day 0B-016: day 7B-017B-017: day 0B-017: day 7B-018B-018: day 0B-018: day 7B-019B-019: day 0B-019: day 7B-020B-020: day 0B-020: day 90 d2 d5 d8 d10 d

Each row is one person (36 shown of 109); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country218 100%218
health_condition0 0%
subject_id218 100%218
collection_date218 100%218
detailed_location218 100%
health_condition_detail218 100%218
latitude218 100%218
location_locality218 100%218
location_region218 100%218
longitude218 100%218
timepoint_label218 100%218
Details
Archive description

This project stores WGS metagenomics data of stool samples of 109 patients and control group participants from 3 hospitals of Central Region of Russia to study the impact of different therapy medications on gut microbiome composition. Faecal metagenomic samples were collected at two timepoints (before admission and after hospital discharge (median time of hospitalization 6 days)), sequenced and analyzed by ARGs and taxonomic composition.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human feces metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN60357914collection_date2024-05-21R10.90biosample.attribute:collection_date2024-05-21
SAMN60357914countryRUR10.90sample.attr.geo_loc_nameRussia: Arkhangelsk
SAMN60357914health_condition_detailmixed_case_control: Study includes both patients (disease status unspecified) and control group participants; no single R40.50study.descriptionpatients and control group participants
SAMN60357914latitude64.5425R10.90biosample.attribute:lat_lon64.542465 N 40.537319 E
SAMN60357914location_localityArkhangelskR10.85biosample.attribute:geo_loc_nameRussia: Arkhangelsk
SAMN60357914location_regionArkhangelskayaR10.60biosample.attribute:lat_lon64.542465 N 40.537319 E
SAMN60358058location_regionMoscowR10.85biosample.attribute:geo_loc_nameRussia: Moscow
SAMN60357914longitude40.5373R10.90biosample.attribute:lat_lon64.542465 N 40.537319 E
SAMN60357914subject_idB-001R10.70sample.name_rule:library_namesB-001-1
SAMN60357914timepoint_labelbefore admissionR10.70sample.name_rule:library_namesB-001-1
Sequencing

218 runs over 218 samples · mean 6.41 Gbp per run (median 6.05 Gbp, total 1,397.35 Gbp; 218 runs with a base count) · layout PAIRED 218 · platform DNBSEQ 218 · models DNBSEQ-G400 (218) · 0% of runs with a Sandpiper profile · first public 2026-06-21

Authors (0)

No author record.

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata

Downloads

PRJNA1469445.csv.gz (7.3 KB) · parquet (80.3 KB) — all 218 samples, every field with route and confidence · PRJNA1469445_determinations.csv.gz (15.3 KB) — 1,962 evidence rows

Samples (218 · every field this project has values for · hover a cell for its source)
Loading the sample table…