Gut microbiome in obese Mongolian adults with/without T2D
18 gut microbiome samples from adults and elderly individuals in Mongolia, comparing those with type 2 diabetes (9) to healthy controls (9), in a cross-sectional design. machine-written summary
18 samples · 18 runs · MN · Adult · 2025 · 5.61 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 144 sample values (age, collection date, country, health condition, health condition detail, latitude, longitude, sex) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 36 sample values (location site, subject id) · PMC11231203, PMC6024022, PMC7261292, PMC9366992 |
| ✓ Supplementary tables | 22 sample values (bmi, medication) |
| – 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 |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 18 | 100% | ||||
| country | 18 | 100% | 18 | |||
| health_condition | 18 | 100% | 18 | |||
| subject_id | 18 | 100% | 18 | |||
| age_at_collection_days | 18 | 100% | 18 | |||
| bmi | 18 | 100% | 18 | |||
| collection_date | 18 | 100% | 18 | |||
| detailed_location | 18 | 100% | ||||
| health_condition_detail | 18 | 100% | 18 | |||
| latitude | 18 | 100% | 18 | |||
| location_site | 18 | 100% | 18 | |||
| longitude | 18 | 100% | 18 | |||
| sex | 18 | 100% | 18 | |||
| medication | 4 | 22% | 4 |
- Urban Diets Linked to Gut Microbiome and Metabolome Alterations in Children: A Comparative Cross-Sectional Study in Thailand. 2018 PMID 29988433 PMC6024022 own_data
- Age-related changes in the gut microbiota and the core gut microbiome of healthy Thai humans. 2020 PMID 32537376 PMC7261292 own_data
- A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. 2022 PMID 35950838 PMC9366992 own_data
- Gut microbiome signatures associated with type 2 diabetes in obesity in Mongolia. 2024 PMID 38983625 PMC11231203 own_data
Archive description
Asia differs substantially among and within its regions populated by diverse ethnic groups, which maintain their own respective cultures and dietary habits. On the other hand, Oriental and Western cultures are now merging at many sites in Asia and affecting our life style, especially daily diets. To inquire into diversity in gut microbiota of Asian people, which must respond to daily diets and link to host health, Asian Microbiome Project (AMP) was established in 2009. AMP aims to build a basal microbiome database of Asians covering entire region and age group and gain an insight into the link between life style and gut microbiota. By sharing information and gained knowledge obtained in this project, we hope to promote health of Asian people.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.62. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site run.scientific_name · “human gut metagenome”
- life stage sample.attr.host_age · “45 (n=16/18)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMD00657900 | age_at_collection_days | 12043.2 | R1 | 0.85 | sample.attr.host_age | 33 |
| SAMD00657900 | bmi | 32.47 | R2 | 0.80 | paper.supp.Table_1.XLSX[Supplementary Table S1][BMI] | 32.46618106139438 |
| SAMD00657900 | collection_date | 2018-12-18 | R1 | 0.90 | biosample.attribute:collection_date | 2018-12-18T12:00:00Z |
| SAMD00657900 | country | MN | R1 | 0.90 | sample.attr.geo_loc_name | Mongolia |
| SAMD00657900 | health_condition | healthy_control | R1 | 0.85 | biosample_attr | Heathy |
| SAMD00657900 | health_condition_detail | Heathy | R1 | 0.90 | sample.attr.host_disease | Heathy |
| SAMD00657900 | latitude | 48.4800 | R1 | 0.90 | biosample.attribute:lat_lon | 48.48 N 103.33 E |
| SAMD00657900 | location_site | Mongolian University of Life Sciences | R3 | 0.70 | paper.fulltext.methods | stored at -80°C in Mongolian University of Life Sciences |
| SAMD00657900 | longitude | 103.3300 | R1 | 0.90 | biosample.attribute:lat_lon | 48.48 N 103.33 E |
| SAMD00657909 | medication | metformin | R2 | 0.80 | paper.supp.Table_1.XLSX[Supplementary Table S1][Metformin] | + |
| SAMD00657900 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
| SAMD00657900 | subject_id | SAMD00657900 | R3 | 0.75 | design.one_sample_per_subject:fulltext | All subjects provided two fresh stool samples for metagenome and metabolome analyses, in separate tubes |
Sequencing
18 runs over 18 samples · mean 5.60 Gbp per run (median 5.61 Gbp, total 100.73 Gbp; 18 runs with a base count) · layout SINGLE 18 · platform DNBSEQ 18 · models DNBSEQ-T7 (18) · 0% of runs with a Sandpiper profile · first public 2025-10-07
Authors (30)
Kisuse J first · La-Ongkham O · Nakphaichit M · Therdtatha P · Momoda R · Tanaka M · Fukuda S · Popluechai S · Kespechara K · Sonomoto K · Lee YK · Nitisinprasert S · Nakayama J last · Keawsompong S · Nassar M first · Rogers AB · Talo' F · Sanchez S · Shafique Z · Finn RD · McEntyre J last · Shinoda A first · Lkhagvajav T · Mishima R · Jamiyan D · Purevdorj C · Sonomtseren S · Chimeddorj B · Namdag B · Demberel S
Downloads
PRJDB5860.csv.gz (1.7 KB) · parquet (72.1 KB) — all 18 samples, every field with route and confidence · PRJDB5860_determinations.csv.gz (2.8 KB) — 202 evidence rows