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PRJNA1247940 SRP577203

Gut Metagenomes in Gestational Diabetes/Hypertension, Indiana

Shotgun Metagenomic Sequences of Host-Associated Gut Microbiomes in Gestational Diseases

73 fecal shotgun metagenome samples from a case-control cohort in Indiana, USA, including adults and 4 neonates, comparing gestational diabetes and gestational hypertension cases to healthy controls (31 samples). machine-written summary

73 samples · 73 runs · US · Adult · 2025 · 2.46 Gbp / sample

Sources
✓Sequence archive 797✓Abstract / description 1✓Full text 1○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 archive797 sample values (age, bmi, collection date, country, health condition, health condition detail, location region, sex)
✓ Abstract / description1 sample values (health condition detail)
✓ Full text1 sample values (sex) · PMC13141881
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult68
neonate4
adolescent1
Condition
pregnancy_postpartum42
healthy_control31
Sex
female38
male35
Country
US73
Body site
primary73
Collected 2019–2022
2019: 46 samples2020: 8 samples2021: 18 samples2022: 1 samples20192022
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 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 49 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 19 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 4 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 2.46 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

14 of 57 people sampled more than once (30 samples; median 2, up to 3 per person) · follow-up median 3 mo (max 7 mo) · median interval between samples 3 mo (time from collection dates). Schedule stated by the source: “Fecal samples collected during mid-to-late gestation across multiple visits (Visit=0,1,2,P); some subjects sampled up to 3 times.”.

HMC-01-1022HMC-01-1022: day 0HMC-01-1022: day 93HMC-01-1030HMC-01-1030: day 0HMC-01-1030: day 56HMC-01-1030: day 206HMC-01-1033HMC-01-1033: day 0HMC-01-1033: day 92HMC-01-1040HMC-01-1040: day 0HMC-01-1040: day 84HMC-01-1041HMC-01-1041: day 0HMC-01-1041: day 81HMC-01-1058HMC-01-1058: day 0HMC-01-1058: day 57HMC-01-1066HMC-01-1066: day 0HMC-01-1066: day 75HMC-01-1075HMC-01-1075: day 0HMC-01-1075: day 91HMC-01-1086HMC-01-1086: day 0HMC-01-1086: day 68HMC-01-1111HMC-01-1111: day 0HMC-01-1111: day 115HMC-01-1119HMC-01-1119: day 0HMC-01-1119: day 134HMC-01-1132HMC-01-1132: day 0HMC-01-1132: day 63HMC-01-1132: day 214HMC-01-2007HMC-01-2007: day 0HMC-01-2007: day 84HMC-01-2027HMC-01-2027: day 0HMC-01-2027: day 700 d54 d4 mo5 mo7 mo

Each row is one person (14 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 6.5%Phocaeicola 6.1%Faecalibacterium 5.7%Prevotella 5.4%Alistipes 5.1%Blautia_A 4.7%Bifidobacterium 4.3%Roseburia 4.0%Gemmiger 3.2%Collinsella 2.6%Mediterraneibacter 2.0%Vescimonas 1.7%not assigned to a genus 7.3%other genera 41.4%

Genera, mean relative abundance over 71 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category73 100%
country73 100%73
health_condition73 100%73
subject_id73 100%73
age_at_collection_days73 100%73
collection_date73 100%73
detailed_location73 100%
health_condition_detail73 100%721
location_region73 100%73
sex73 100%721
smoking_status73 100%73
timepoint_label73 100%73
bmi69 95%69
Papers (1)
  • Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease. 2026 PMID 41879323 PMC13141881 own_data
Details
Archive description

This project contains raw shotgun metagenomic sequencing data from fecal samples collected during mid-to-late gestation as part of a study on gut microbiome alterations associated with gestational conditions. Samples were obtained from participants in a prospective observational cohort, including individuals diagnosed with gestational diabetes mellitus (GDM), gestational hypertension (GH), and those with uncomplicated pregnancies. Sequencing was performed on Illumina platforms across two batches. The data were generated to support investigations into microbiome-driven differences in metabolic and immune-related pathways across gestational phenotypes. This dataset underlies the manuscript titled "Metagenomic Profiling and Predictive Modeling Reveal Gut Microbiome Signatures of Gestational Diseases", which identifies differentially abundant microbial taxa and functional pathways, and applies machine learning models to predict gestational disease status based on microbiome profiles.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_maternal_only”
  • body site study.title · “Sequences of Host-Associated Gut Microbiomes in Gestational”
  • body site study.description · “sequencing data from fecal samples collected during”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_maternal_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN47834585age_at_collection_days14245.0R10.85biosample.attribute:consent_ageconsent_age: 39
SAMN47834587age_at_collection_days10215.0R10.85sample.attr.consent_age28
SAMN47834585bmi24.64R10.90sample.attr.bmi24.64
SAMN47834585collection_date2019-04-18R10.90biosample.attribute:collection_date2019-04-18
SAMN47834585countryUSR10.90sample.attr.geo_loc_nameUSA: Indiana
SAMN47834585health_conditionhealthy_controlR10.80biosample_attrControl
SAMN47834586health_conditionpregnancy_postpartumR10.85biosample.attribute:groupgroup: Case
SAMN47834585health_condition_detailhypertension: noR10.85sample.attr.hypertensionNo
SAMN47834642health_condition_detailmixed_case_control: GDM patients vs GH patients vs healthy pregnant controlsR40.40study.descriptiongestational diabetes mellitus (GDM), gestational hypertension (GH), and those with uncomplicated pregnancies
SAMN47834585location_regionIndianaR10.85biosample.attribute:geo_loc_nameUSA: Indiana
SAMN47834585sexfemaleR10.90sample.attr.ca_ld_sex_of_babyFemale
SAMN47834642sexfemaleR30.70paper.fulltext.methodspregnant with a singleton gestation less than 20 weeks
SAMN47834585smoking_statusneverR10.70biosample.attribute:tobacco_use0
SAMN47834585subject_idHMC-01-1006R10.85sample.attr.subject_idHMC-01-1006
SAMN47834585timepoint_label2R10.85sample.attr.visit2
Sequencing

73 runs over 73 samples · mean 4.21 Gbp per run (median 2.46 Gbp, total 307.31 Gbp; 73 runs with a base count) · layout PAIRED 73 · platform ILLUMINA 73 · models NextSeq 500 (73) · 97% of runs with a Sandpiper profile · first public 2025-04-09 – 2025-04-13

Authors (5)

Mortensen GA first · Schmidt H · Radivojac P · Ye Y · Haas DM last

Downloads

PRJNA1247940.csv.gz (3.8 KB) · parquet (75.7 KB) — all 73 samples, every field with route and confidence · PRJNA1247940_determinations.csv.gz (7.5 KB) — 799 evidence rows

Samples (73 · every field this project has values for · hover a cell for its source)
Loading the sample table…