Obesity and cardiometabolic health, gut microbiome, Colombia
451 fecal metagenome samples from adults (mostly) in Colombia, in a cross-sectional study examining how obesity and cardiometabolic health status relate to gut microbiome composition and function. machine-written summary
452 samples · 2,012 runs · CO · Adult · 2023 · 1.01 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 2,257 sample values (collection date, country, latitude, location region, longitude) |
| ✓ Abstract / description | 452 sample values (health condition detail) |
| ✓ Full text | 452 sample values (antibiotic exposure) · PMC10486298, PMC11334427 |
| ✓ Supplementary tables | 1,290 sample values (age, bmi, sex) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 398 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 | 452 | 100% | ||||
| country | 452 | 100% | 452 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| antibiotic_exposure | 452 | 100% | 452 | |||
| collection_date | 452 | 100% | 452 | |||
| health_condition_detail | 452 | 100% | 452 | |||
| detailed_location | 451 | 100% | ||||
| latitude | 451 | 100% | 451 | |||
| location_region | 451 | 100% | 451 | |||
| longitude | 451 | 100% | 451 | |||
| age_at_collection_days | 430 | 95% | 430 | |||
| bmi | 430 | 95% | 430 | |||
| sex | 430 | 95% | 430 |
- Obesity is the main driver of altered gut microbiome functions in the metabolically unhealthy. 2023 PMID 37680093 PMC10486298 own_data
- Gut microbiome diversity within <i>Clostridia</i> is negatively associated with human obesity. 2024 PMID 39012154 PMC11334427 own_data
Archive description
Obesity (OB) and cardiometabolic disease are public health epidemics linked to changes in the gut microbiome. However, the overlapping occurrence of OB and cardiometabolic health status (CHS) has made it challenging to differentiate unique microbiome associations with either condition. Here, we sought to replicate previously reported associations between microbiome and OB/CHS in a deeply phenotyped cohort and to differentiate features of gut microbiome function associated independently with OB and CHS. Fecal metagenomes were obtained from 408 deeply phenotyped adults from Colombia. OB was defined by body mass index, waist circumference, and body fat CHS as healthy or unhealthy according to blood biochemistry and anthropometric data. We found that most previously reported functional associations were unique to OB or were shared by both conditions, with few functional modules uniquely associated with CHS. Consistent with previous studies, we found that metagenome sequence diversity was higher in lean and cardiometabolically healthy participants we further showed that OB explained a higher proportion of variance in sequence diversity and functional beta-diversity than CHS. Compared to a healthy state, OB and CHS were characterized by reduced fermentative potential and elevated response to oxidative stress, and disease-linked features were mainly contributed by members of the family Enterobacteriaceae. Our results link poor metabolic health with the presence of an inflammatory and oxygenated gut state, consistent across study populations, and suggest that OB is the main driver of microbiome functional differences when CHS is a comorbidity.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.85. Assay shotgun_dna.
- host run.scientific_name · “human metagenome”
- body site study.description · “Fecal metagenomes were obtained”
- life stage study.description · “408 deeply phenotyped adults from Colombia”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA112614108 | age_at_collection_days | 11688 | R2 | 0.85 | paper.supp.msystems.00627-24-s0006.xlsx[Table S2!age (years)] | 32 |
| SAMEA112614105 | antibiotic_exposure | no | R3 | 0.70 | paper.fulltext.methods | consumed antibiotics or antiparasitics in the three months prior |
| SAMEA112614108 | bmi | 20.1 | R2 | 0.85 | paper.supp.msystems.00627-24-s0006.xlsx[Table S2!BMI (kg/m2)] | 20.1 |
| SAMEA112614105 | collection_date | 2014-07-01 | R1 | 0.90 | biosample.attribute:collection_date | 2014-07-01 |
| SAMEA112614105 | country | CO | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Colombia |
| SAMEA112614105 | health_condition_detail | mixed_case_control: obesity, cardiometabolic disease, or both | R4 | 0.50 | paper.abstract | subjects with OB, unhealthy CHS, or both |
| SAMEA112614105 | latitude | 4.6243 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 4.6243350000000003 -74.063643999999996 |
| SAMEA112614105 | location_region | Bogota D.C. | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 4.6243350000000003 -74.063643999999996 |
| SAMEA112614105 | longitude | -74.0636 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 4.6243350000000003 -74.063643999999996 |
| SAMEA112614108 | sex | male | R2 | 0.85 | paper.supp.msystems.00627-24-s0006.xlsx[Table S2!sex at birth] | Male |
Sequencing
2,012 runs over 452 samples · mean 0.49 Gbp per run (median 0.20 Gbp, total 987.10 Gbp; 2,012 runs with a base count) · layout PAIRED 2,012 · platform ILLUMINA 2,012 · models Illumina HiSeq 3000 (2,012) · 64% of runs with a Sandpiper profile · first public 2023-04-26
Authors (9)
de la Cuesta-Zuluaga J first · Huus KE · Youngblut ND · Escobar JS · Ley RE last · Salazar-Jaramillo L first · Chica LA · Cadavid M · Reyes A
Help complete this project
2 of the 4 core fields are below 50% coverage: health_condition, subject_id. Share metadata
Downloads
PRJEB58436.csv.gz (13.7 KB) · parquet (88.9 KB) — all 452 samples, every field with route and confidence · PRJEB58436_determinations.csv.gz (30.5 KB) — 4,451 evidence rows