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PRJEB48814 ERP133237

Pediatric gut microbiome in type 1 diabetes and obesity

Effects of Type 1 Diabetes Mellitus and Increased Weight on Metabolomic and Microbiome Profiles in the Pediatric Population

112 gut microbiome samples from pediatric (child and adolescent) subjects, examining links between type 1 diabetes, obesity, and autoimmune/inflammatory conditions; no country or design details specified. machine-written summary

112 samples · 112 runs · Child · 2022 · 0.33 Gbp / sample

Sources
✓Sequence archive 1,006–Abstract / description–Full text–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 archive1,006 sample values (age, antibiotic exposure, bmi, collection date, health condition, health condition detail, medication, medication detail)
– Abstract / descriptionno abstract or project description
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– 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
Age
child69
adolescent42
adult1
Condition
healthy_control32
autoimmune_inflammatory31
obesity25
type1_diabetes24
Sex
male60
female50
Body site
primary112
Collected 2016–2017
2016: 73 samples2017: 39 samples20162017
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 2 samplesall 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: 40 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 70 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all 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 0.33 Gbp per sample0130Gbp
! Self-contradictory metadata

sex differs between samples of the same subject id (1 subjects, 2 samples) — sex withheld; subject ids shared by samples of both sexes (1 ids, 2 samples) — ids withheld.

The sources disagree on 2 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (4)
samplefieldvalueother valuehandling
SAMEA10987220sexfemale (sequence archive)subject OT1D023: female in 1 sample, male in 1 samplewithheld: neither value published
SAMEA10987221sexmale (sequence archive)subject OT1D023: female in 1 sample, male in 1 samplewithheld: neither value published
SAMEA10987220subject idOT1D023female (sequence archive)subject id withheld (samples of both sexes share it)
SAMEA10987221subject idOT1D023male (sequence archive)subject id withheld (samples of both sexes share it)
Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category112 100%
country0 0%
health_condition112 100%112
subject_id110 98%110
age_at_collection_days112 100%112
antibiotic_exposure112 100%112
bmi112 100%112
collection_date112 100%112
health_condition_detail112 100%112
sex110 98%110
medication65 58%65
medication_detail49 44%49
Details
Archive description

Type 1 diabetes (T1D) is the major type of childhood diabetes. In the last few decades, the prevalence of T1D has increased dramatically, particularly in children under 5 years of age. The rapid rise of T1D incidence coincidently follows the same trend as the outbreak of obesity, especially in developed countries. Indeed, epidemiological studies have revealed a strong association between obesity and the risk of T1D. Nearly 40% of pediatric T1D patients ages 2 to 18 years in the U.S. are obese or overweight. Excessive weight puts these children at higher risk for cardiovascular disease, which is the leading cause of death for T1D. However, we still lack the appropriate criteria to diagnose and treat these patients in order to prevent early morbidity and mortality. This is mainly due to the fact that we remain ignorant about how the natural history and disease pathogenesis of T1D are altered by overweight or obesity. To address this unmet need, we will employ a series of cutting-edge techniques to investigate the role of obesity in T1D pathogenesis in human subjects.

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • body site external_curation.infant_catalog · “body_site_call gut”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • life stage study.title · “Profiles in the Pediatric Population”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA10987109age_at_collection_days2593.3R10.90sample.attr.host_age7.1
SAMEA10987109antibiotic_exposurenoR10.90biosample_attrno
SAMEA10987109bmi13.64R10.90sample.attr.host_body_mass_index13.64
SAMEA10987109collection_date2016R10.85biosample.attribute:collection_timestamp2016
SAMEA10987109health_conditionhealthy_controlR10.85biosample.attribute:analysis_disease_stage_groupNH
SAMEA10987141health_conditionautoimmune_inflammatoryR10.85biosample_attryes
SAMEA10987109health_condition_detailnon-T1D + normal weightR10.90sample.attr.analysis_disease_stagenon-T1D + normal weight
SAMEA10987109medicationcorticosteroidR10.90biosample.attribute:med_steroid_inhalation_anyyes
SAMEA10987141medicationantidiabetic_otherR10.85biosample.attribute:med_insulin_injectionmed_insulin_injection: yes
SAMEA10987143medicationantidiabetic_otherR10.85biosample.attribute:med_insulin_injection;total_daily_insulinmed_insulin_injection: yes; total_daily_insulin: 0.87
SAMEA10987184medicationmetforminR10.90biosample.attribute:med_metformin_oralyes
SAMEA10987186medicationlaxativeR10.90biosample.attribute:supp_laxative_oral_miralaxyes
SAMEA10987209medicationcorticosteroid;immunosuppressant_or_biologicR10.90biosample.attribute:med_steroid_topical_fluocinolone_oilyes
SAMEA10987141medication_detailmed_insulin_injection: yesR10.85biosample.attribute:med_insulin_injectionmed_insulin_injection: yes
SAMEA10987143medication_detailmed_insulin_injection: yes; total_daily_insulin: 0.87R10.85biosample.attribute:med_insulin_injection;total_daily_insulinmed_insulin_injection: yes; total_daily_insulin: 0.87
SAMEA10987109sexmaleR10.90sample.attr.sexmale
SAMEA10987109subject_idNH001R10.85sample.attr.host_subject_idNH001
Sequencing

112 runs over 112 samples · mean 0.35 Gbp per run (median 0.33 Gbp, total 38.95 Gbp; 112 runs with a base count) · layout PAIRED 112 · platform ILLUMINA 112 · models Illumina HiSeq 2500 (112) · 0% of runs with a Sandpiper profile · first public 2022-11-16

Authors (0)

No author record.

Downloads

PRJEB48814.csv.gz (5.1 KB) · parquet (77.1 KB) — all 112 samples, every field with route and confidence · PRJEB48814_determinations.csv.gz (9.6 KB) — 1,006 evidence rows

Samples (112 · every field this project has values for · hover a cell for its source)
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