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PRJEB58436 ERP143494

Obesity and cardiometabolic health, gut microbiome, Colombia

Obesity, and not cardiometabolic health status, drives altered gut microbiome functions in the metabolically unhealthy

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

Sources
✓Sequence archive 2,257✓Abstract / description 452✓Full text 452✓Supplementary tables 1,290–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive2,257 sample values (collection date, country, latitude, location region, longitude)
✓ Abstract / description452 sample values (health condition detail)
✓ Full text452 sample values (antibiotic exposure) · PMC10486298, PMC11334427
✓ Supplementary tables1,290 sample values (age, bmi, sex)
– 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
Samples at a glance
1 sampling locations · 1 country
Age
adult449
adolescent3
Sex
female217
male213
Country
CO452
Body site
primary452
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 26 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 6 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 13 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 180 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 146 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 63 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 17 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 1 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 1.01 Gbp per sample0130Gbp
Community composition
Gemmiger 9.8%Akkermansia 8.5%Vescimonas 5.1%Bifidobacterium 4.5%Faecalibacterium 4.4%Collinsella 3.3%Hominicoprocola 3.2%Escherichia 2.9%Fimenecus 2.7%Alistipes 2.1%UBA11524 1.7%Cryptobacteroides 1.4%not assigned to a genus 22.4%other genera 27.9%

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 coverage
fieldsamplescoverageR1R2R3R4
age_category452 100%
country452 100%452
health_condition0 0%
subject_id0 0%
antibiotic_exposure452 100%452
collection_date452 100%452
health_condition_detail452 100%452
detailed_location451 100%
latitude451 100%451
location_region451 100%451
longitude451 100%451
age_at_collection_days430 95%430
bmi430 95%430
sex430 95%430
Papers (2)
  • 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
Details
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)
samplefieldvaluerouteconf.sourcequote
SAMEA112614108age_at_collection_days11688R20.85paper.supp.msystems.00627-24-s0006.xlsx[Table S2!age (years)]32
SAMEA112614105antibiotic_exposurenoR30.70paper.fulltext.methodsconsumed antibiotics or antiparasitics in the three months prior
SAMEA112614108bmi20.1R20.85paper.supp.msystems.00627-24-s0006.xlsx[Table S2!BMI (kg/m2)]20.1
SAMEA112614105collection_date2014-07-01R10.90biosample.attribute:collection_date2014-07-01
SAMEA112614105countryCOR10.90sample.attr.geographic_location_country_and_or_seaColombia
SAMEA112614105health_condition_detailmixed_case_control: obesity, cardiometabolic disease, or bothR40.50paper.abstractsubjects with OB, unhealthy CHS, or both
SAMEA112614105latitude4.6243R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude4.6243350000000003 -74.063643999999996
SAMEA112614105location_regionBogota D.C.R10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude4.6243350000000003 -74.063643999999996
SAMEA112614105longitude-74.0636R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude4.6243350000000003 -74.063643999999996
SAMEA112614108sexmaleR20.85paper.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

Samples (452 · every field this project has values for · hover a cell for its source)
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