Gut microbiome in atherosclerosis and obesity, Kazakhstan
Cross-sectional shotgun metagenomic study of 34 samples from Kazakhstan, examining gut microbiome composition in relation to atherosclerosis and obesity status. machine-written summary
34 samples · 34 runs · KZ · Age unknown · 2024 · 2.58 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 268 sample values (age, bmi, collection date, country, latitude, location locality, longitude, sex) |
| ✓ Abstract / description | 34 sample values (health condition detail) |
| ○ Full text | read; no usable statement or table · PMC11636347 |
| ○ 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 |
Genera, mean relative abundance over 25 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 | 32 | 94% | ||||
| country | 34 | 100% | 34 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| bmi | 34 | 100% | 34 | |||
| collection_date | 34 | 100% | 34 | |||
| detailed_location | 34 | 100% | ||||
| health_condition_detail | 34 | 100% | 34 | |||
| latitude | 34 | 100% | 34 | |||
| location_locality | 34 | 100% | 34 | |||
| longitude | 34 | 100% | 34 | |||
| age_at_collection_days | 32 | 94% | 32 | |||
| sex | 32 | 94% | 32 |
- Metagenomic analysis reveals higher Coriobacteriia abundance in mare's milk consumers. 2024 PMID 39498981 PMC11636347 own_data
- Enterococcus dysbiosis as a mediator of vitamin D deficiency-associated memory impairments. 2025 PMID 39906849 PMC11791146 own_data
- Distinct gut microbiome profiles characterize obese and non-obese patients with atherosclerosis: a metagenomic analysis. 2026 PMID 42618929 PMC13491917 own_data
Archive description
Vitamin D
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “human gut metagenome”
- life stage sample.attr.host_age · “63 (n=20/34)”
- life stage sample.attr.host_age · “66 (n=10/34)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN40587810 | age_at_collection_days | 14975.2 | R1 | 0.70 | sample.attr.host_age | 41 |
| SAMN40587810 | bmi | 22.8 | R1 | 0.90 | sample.attr.host_body_mass_index | 22.8 |
| SAMN40587810 | collection_date | 2021-09-11 | R1 | 0.90 | biosample.attribute:collection_date | 2021-09-11 |
| SAMN40587810 | country | KZ | R1 | 0.90 | sample.attr.geo_loc_name | Kazakhstan |
| SAMN40587810 | health_condition_detail | mixed_case_control: obese AS patients vs non-obese AS patients | R4 | 0.50 | paper.abstract | obese and non-obese patients with atherosclerosis |
| SAMN40587810 | latitude | 51.1000 | R1 | 0.90 | biosample.attribute:lat_lon | 51.10 N 71.26 E |
| SAMN40587810 | location_locality | Akzhar | R1 | 0.85 | biosample.attribute:locality | Akzhar |
| SAMN40587810 | longitude | 71.2600 | R1 | 0.90 | biosample.attribute:lat_lon | 51.10 N 71.26 E |
| SAMN40587810 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
Sequencing
34 runs over 34 samples · mean 3.08 Gbp per run (median 2.58 Gbp, total 104.60 Gbp; 34 runs with a base count) · layout PAIRED 34 · platform ILLUMINA 34 · models Illumina NovaSeq 6000 (34) · 74% of runs with a Sandpiper profile · first public 2024-04-14
Authors (28)
Mukhanbetzhanov N first · Jarmukhanov Z · Kozhakhmetov S · Kushugulova A last · Vinogradova E first · Nurgaziyev M · Kossumov A · Nurgozhina A · Sergazy S · Chulenabyeva L · Issilbayeva A · Askarova S · Kaiyrlykyzy A · Rakhimova S · Kozhamkulov U · Kairov U · Khassenbekova Z · Tarzhanova D · Akilzhanova A · Lee JH · Terwilliger J · Sailybayeva A · Bekbossynova M · Zhumadilov Z · Chulenbayeva L · Myrzakhmetova G · Umriukhin A · Andossova S
Downloads
PRJNA1091163.csv.gz (2.1 KB) · parquet (72.1 KB) — all 34 samples, every field with route and confidence · PRJNA1091163_determinations.csv.gz (3.1 KB) — 302 evidence rows