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PRJNA842425 SRP379125

Gut Microbiome in COVID-19 ICU Patients, Chicago

Alterations of the Microbiome During Critical Illness with short and long term clinical outcomes

Fecal samples from 71 critically ill COVID-19 patients admitted to a Chicago, IL medical ICU were analyzed by shotgun metagenomics in a longitudinal study linking gut microbiome and metabolite composition to respiratory failure and mortality outcomes. machine-written summary

71 samples · 71 runs · US · Age unknown · 2022 · 1.68 Gbp / sample · cohort Fecal Butyrate and Deoxycholic Acid Concentrations

Sources
✓Sequence archive 778○Abstract / description✓Full text 71○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 archive778 sample values (age, bmi, collection date, country, health condition, health condition detail, latitude, location locality)
○ Abstract / descriptionread; no usable statement
✓ Full text71 sample values (subject id) · PMC9633022
○ 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 sampling locations · 1 country
Age
adult39
elderly32
Condition
other_infection71
Sex
male37
female32
Country
US71
Body site
primary71
Collected 2020–2021
2020: 35 samples2021: 36 samples20202021
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 3 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 1 samplesall 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 %)this project, 0.3–1 Gbp: 1 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 62 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 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 1.68 Gbp per sample0130Gbp
! Self-contradictory metadata

age: two sequence archives disagree for 1 sample (e.g. 58.0 vs 21180.5) — withheld.

The sources disagree on 1 sample. 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 (1)
samplefieldvalueother valuehandling
SAMN28789124age58.0 (sequence archive)21180.5 (sequence archive)withheld: neither value published
Community composition
Bacteroides 10.0%Phocaeicola 8.5%Enterococcus_B 6.1%Mediterraneibacter 4.4%Blautia_A 4.2%Alistipes 4.1%Parabacteroides 3.1%Enterocloster 2.9%Klebsiella 2.8%Akkermansia 2.5%Streptococcus 2.3%Escherichia 2.0%not assigned to a genus 6.8%other genera 40.4%

Genera, mean relative abundance over 64 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category71 100%
country71 100%71
health_condition71 100%71
subject_id71 100%71
bmi71 100%71
collection_date71 100%71
detailed_location71 100%
health_condition_detail71 100%71
latitude71 100%71
location_locality71 100%71
location_region71 100%71
longitude71 100%71
age_at_collection_days70 99%70
sex69 97%69
Papers (2)
  • Immunomodulatory fecal metabolites are associated with mortality in COVID-19 patients with respiratory failure. 2022 PMID 36329015 PMC9633022 own_data
  • Fecal Butyrate and Deoxycholic Acid Concentrations Correlate With Mortality in Patients With Liver Disease. 2025 PMID 40574876 PMC12197998 unsure
Details
Archive description

This study is designed to study the variations in the microbiome among critically ill patients and the effect of admission to the medical intensive care unit (MICU) at the University of Chicago. Additionally, we will examine the downstream clinical effects of dysbiosis in ICU patients and how patients maybe effected long term. By longitudinally sampling patients throughout their MICU admission and correlating changes in the microbiome with clinical data, this study will identify factors that impact the composition of the microbiome and their impact on clinical outcomes. These associations will be the foundation for further clinical studies and clinical trials to optimize the human microbiome in patients in the critical care unit.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of elderly and adult by opus_adjudicated with confidence 0.50. Assay shotgun_dna.

  • host study.description · “microbiome among critically ill patients”
  • body site sample.attr.isolation_source · “human stool (n=71/71)”
  • life stage sample.attr.host_age · “63.32876712 (n=36/71)”
  • life stage sample.attr.host_age · “29.20821918 (n=33/71)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN28789121age_at_collection_days34394.0R10.85sample.attr.host_age94.06575342
SAMN28789121bmi22.39R10.90sample.attr.host_body_mass_index22.39
SAMN28789121collection_date2021-02-04R10.90biosample.attribute:collection_date2021-02-04
SAMN28789121countryUSR10.90sample.attr.geo_loc_nameUSA: Chicago, IL
SAMN28789121health_conditionother_infectionR10.85biosample_attrSARS-CoV-2
SAMN28789121health_condition_detailSARS-CoV-2R10.90sample.attr.host_diseaseSARS-CoV-2
SAMN28789121latitude41.7900R10.90biosample.attribute:lat_lon41.79 N 87.60 W
SAMN28789121location_localityChicagoR10.85biosample.attribute:geo_loc_nameUSA: Chicago, IL
SAMN28789121location_regionIllinoisR10.75biosample.attribute:geo_loc_nameUSA: Chicago, IL
SAMN28789121longitude-87.6000R10.90biosample.attribute:lat_lon41.79 N 87.60 W
SAMN28789121sexfemaleR10.90sample.attr.host_sexfemale
SAMN28789121subject_idSAMN28789121R30.70design.one_sample_per_subject:fulltextOf these, 71 patients produced a fecal sample within 72 h of enrollment
Sequencing

71 runs over 71 samples · mean 1.83 Gbp per run (median 1.68 Gbp, total 129.97 Gbp; 71 runs with a base count) · layout PAIRED 71 · platform ILLUMINA 71 · models Illumina NovaSeq 6000 (71) · 90% of runs with a Sandpiper profile · first public 2022-06-21

Authors (44)

Stutz MR first · Dylla NP · Pearson SD · Lecompte-Osorio P · Nayak R · Khalid M · Adler E · Boissiere J · Lin H · Leiter W · Little J · Rose A · Moran D · Mullowney MW · Wolfe KS · Lehmann C · Odenwald M · De La Cruz M · Giurcanu M · Pohlman AS · Hall JB · Chaubard JL · Sundararajan A · Sidebottom A · Kress JP · Pamer EG · Patel BK last · Odenwald MA first · Ramaswamy R · Moran A · Sidebottom AM · Hernandez A · McMillin M · Sulakhe D · D'Souza M · Woodson C · Tanveer T · de Porto A · Dylla N · Burgo V · Cantoral J · Jadczak C · Aronsohn A · Rinella ME last

Downloads

PRJNA842425.csv.gz (3.8 KB) · parquet (75.7 KB) — all 71 samples, every field with route and confidence · PRJNA842425_determinations.csv.gz (7.9 KB) — 849 evidence rows

Samples (71 · every field this project has values for · hover a cell for its source)
Loading the sample table…