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PRJNA1167328 SRP535821

Gut microbiome and Long COVID in US outpatients

Gut Microbiome Signatures Predict Long COVID

944 longitudinal stool samples from USA outpatients tested for SARS-CoV-2 (380 positive, 419 negative), collected at acute and post-acute time points to assess whether gut microbiome composition predicts Long COVID. machine-written summary

944 samples · 944 runs · US · Adult · 2026 · 2.56 Gbp / sample

Sources
✓Sequence archive 8,976○Abstract / description✓Full text 944○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 archive8,976 sample values (age, collection date, country, health condition, health condition detail, latitude, longitude, sex)
○ Abstract / descriptionread; no usable statement
✓ Full text944 sample values (location site) · PMC13502034
○ 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
adult651
elderly293
Condition
other_infection480
Sex
female587
male357
Country
US944
Body site
primary944
Collected 2020–2021
2020: 81 samples2021: 863 samples20202021
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 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 751 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 193 samplesall 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 2.56 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

145 of 799 people sampled more than once (290 samples; median 2, up to 2 per person) · follow-up median 22 d (max 9 mo) · median interval between samples 22 d (time from collection dates). Schedule stated by the source: “Two stool samples per subject, at week 0-2 and week 3-5 after initial SARS-CoV-2 test; T1 within 31 d of index date, T2 after.” (time origin: initial SARS-CoV-2 test date (index date)).

Subject_005Subject_005: day 0Subject_005: day 21Subject_010Subject_010: day 0Subject_010: day 21Subject_017Subject_017: day 0Subject_017: day 19Subject_021Subject_021: day 0Subject_021: day 20Subject_038Subject_038: day 0Subject_038: day 17Subject_039Subject_039: day 0Subject_039: day 258Subject_041Subject_041: day 0Subject_041: day 21Subject_086Subject_086: day 0Subject_086: day 21Subject_091Subject_091: day 0Subject_091: day 21Subject_102Subject_102: day 0Subject_102: day 22Subject_104Subject_104: day 0Subject_104: day 24Subject_137Subject_137: day 0Subject_137: day 23Subject_145Subject_145: day 0Subject_145: day 22Subject_150Subject_150: day 0Subject_150: day 16Subject_154Subject_154: day 0Subject_154: day 23Subject_165Subject_165: day 0Subject_165: day 27Subject_166Subject_166: day 0Subject_166: day 27Subject_177Subject_177: day 0Subject_177: day 27Subject_178Subject_178: day 0Subject_178: day 18Subject_189Subject_189: day 0Subject_189: day 15Subject_206Subject_206: day 0Subject_206: day 27Subject_210Subject_210: day 0Subject_210: day 23Subject_218Subject_218: day 0Subject_218: day 25Subject_220Subject_220: day 0Subject_220: day 25Subject_223Subject_223: day 0Subject_223: day 21Subject_227Subject_227: day 0Subject_227: day 17Subject_247Subject_247: day 0Subject_247: day 25Subject_253Subject_253: day 0Subject_253: day 15Subject_259Subject_259: day 0Subject_259: day 27Subject_263Subject_263: day 0Subject_263: day 21Subject_275Subject_275: day 0Subject_275: day 21Subject_288Subject_288: day 0Subject_288: day 22Subject_293Subject_293: day 0Subject_293: day 26Subject_306Subject_306: day 0Subject_306: day 17Subject_314Subject_314: day 0Subject_314: day 19Subject_320Subject_320: day 0Subject_320: day 250 d2 mo4 mo6 mo8 mo

Each row is one person (36 shown of 145); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Blautia_A 20.2%Bifidobacterium 4.2%Roseburia 4.1%Ruminococcoides 3.9%Faecalibacterium 3.7%Collinsella 3.7%Mediterraneibacter 3.5%Streptococcus 3.5%Fusicatenibacter 3.4%Anaerostipes 2.9%Anaerobutyricum 2.6%Dorea_A 1.9%not assigned to a genus 7.7%other genera 34.7%

Genera, mean relative abundance over 935 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category944 100%
country944 100%944
health_condition480 51%480
subject_id944 100%944
age_at_collection_days944 100%944
collection_date944 100%944
detailed_location944 100%
health_condition_detail944 100%944
latitude944 100%944
location_site944 100%944
longitude944 100%944
sex944 100%944
timepoint_label944 100%944
Papers (1)
  • Gut microbiome signatures during acute infection are associated with long COVID. 2026 PMID 42615987 PMC13502034 own_data
Details
Archive description

Longitudinal metagenomic sampling of an outpatient cohort who underwent SARS-CoV-2 respiratory testing prior to enrollment.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.55. Assay shotgun_dna.

  • host study.title · “Gut Microbiome Signatures Predict Long COVID”
  • body site study.title · “Gut Microbiome Signatures Predict Long COVID”
  • life stage study.description · “outpatient cohort who underwent SARS-CoV-2”
  • life stage sample.attr.age · “67 (n=337/944)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN44000795age_at_collection_days19711.0R10.85sample.attr.age54
SAMN44000795collection_date2021-09-23R10.90biosample.attribute:collection_date2021-09-23
SAMN44000795countryUSR10.90sample.attr.geo_loc_nameUSA
SAMN44000795health_conditionother_infectionR10.90biosample_attrPositive
SAMN44000795health_condition_detailPositiveR10.90sample.attr.sars_cov2_statusPositive
SAMN44000795latitude38.8000R10.90biosample.attribute:lat_lon38.80 N 106.53 W
SAMN44000795location_siteMayo Clinic multi-site health systemR30.70paper.fulltext.methodsunderwent SARS-CoV-2 respiratory testing at Mayo Clinic's multi-site health system
SAMN44000795longitude-106.5300R10.90biosample.attribute:lat_lon38.80 N 106.53 W
SAMN44000795sexmaleR10.90sample.attr.sexmale
SAMN44000795subject_idSubject_828R10.85sample.attr.subject_idSubject_828
SAMN44000795timepoint_labelT1R10.85sample.attr.time_pointT1
Sequencing

944 runs over 944 samples · mean 2.58 Gbp per run (median 2.56 Gbp, total 2,436.42 Gbp; 944 runs with a base count) · layout PAIRED 944 · platform ILLUMINA 944 · models Illumina NovaSeq 6000 (944) · 99% of runs with a Sandpiper profile · first public 2026-01-01

Authors (18)

Comba IY first · Mars RAT · Yang L · Dumais M · Chen J · Van Gorp TM · Harrington JJ · Sinnwell JP · Johnson S · Holland LA · Khan AK · Lim ES · Aakre C · Athreya AP · Gerber GK · O'Horo JC · Lazaridis KN · Kashyap PC last

Downloads

PRJNA1167328.csv.gz (30.8 KB) · parquet (114.0 KB) — all 944 samples, every field with route and confidence · PRJNA1167328_determinations.csv.gz (63.7 KB) — 9,920 evidence rows

Samples (944 · every field this project has values for · hover a cell for its source)
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