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PRJNA650244 SRP293037

Gut metagenomes in COVID-19 patients vs controls, Hong Kong

Gut metagenomes of patients with COVID-19

274 stool samples from adults in Shatin, Hong Kong, comparing gut microbiome composition between COVID-19 patients and healthy controls in a cross-sectional study, including serial samples after SARS-CoV-2 clearance. machine-written summary

274 samples · 274 runs · HK · Adult · 2021 · 5.50 Gbp / sample · cohort Variation in the metagenomic analysis of fecal mic

Sources
✓Sequence archive 1,684○Abstract / description○Full text○Supplementary tables✓External resources 156–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,684 sample values (collection date, country, health condition, health condition detail, latitude, location locality, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10411309, PMC7804842
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources156 sample values (health condition, health condition detail) · from GMrepo v3
– 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
adult274
Condition
other_infection196
healthy_control78
Country
HK274
Body site
primary274
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 %)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: 3 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 15 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 22 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 203 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 27 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 2 samplesall projects, 100–300 Gbp: 106 samples (0 %)this project, 100–300 Gbp: 1 samplesall projects, ≥ 300 Gbp: 9 samples (0 %)project median 5.50 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

Schedule stated by the source: “Serial stool samples from COVID-19 patients during hospitalisation and up to 30 days after SARS-CoV-2 clearance; 41/100 patients provided multiple samples”; stated follow-up 30 d.

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 8.9%Bacteroides 8.2%Phocaeicola 7.6%Blautia_A 7.5%Mediterraneibacter 4.6%Faecalibacterium 3.6%Collinsella 3.3%Gemmiger 3.0%Roseburia 3.0%Parabacteroides 2.6%Ruminococcoides 2.4%Prevotella 2.0%not assigned to a genus 4.2%other genera 39.1%

Genera, mean relative abundance over 241 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category274 100%
country274 100%274
health_condition274 100%19678
subject_id0 0%
detailed_location274 100%
health_condition_detail274 100%19678
latitude274 100%274
location_locality274 100%274
longitude274 100%274
collection_date196 72%196
Papers (11)
  • Gut microbiota composition reflects disease severity and dysfunctional immune responses in patients with COVID-19. 2021 PMID 33431578 PMC7804842 own_data
  • Association Between Altered Microbiota Composition and Immune System-Related Genes in COVID-19 Infection. 2025 PMID 38456962 own_data
  • Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomes. 2022 PMID 36068270 PMC9446638 unsure
  • Robust cross-cohort gut microbiome associations with COVID-19 severity. 2023 PMID 37550964 PMC10411309 unsure
  • Deciphering Microbial Shifts in the Gut and Lung Microbiomes of COVID-19 Patients. 2024 PMID 38930440 PMC11205787 unsure
6 more
  • Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach. 2024 PMID 39475247 PMC11619352
  • Dysrupted microbial tryptophan metabolism associates with SARS-CoV-2 acute inflammatory responses and long COVID. 2024 PMID 39551951 PMC11581176
  • gutMSNP: a comprehensive database for human gut microbial single-nucleotide polymorphisms. 2026 PMID 41359024 PMC12807719
  • <i>Akkermansia muciniphila</i> primes lung-resident antiviral immunity via the gut-lung axis during SARS-CoV-2 infection. 2026 PMID 41836373 PMC12982362
  • Dissecting the Role of the Human Microbiome in COVID-19 via Metagenome-assembled Genomes 2022
  • Two dimensions of chemical variation of the human microbiome across body sites and in COVID-19 patients 2023
Details
Archive description

Stool samples were collected from in-hospital COVID-19 patients to characterise gut microbiome community composition associated with this disease.

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_adult_only”
  • body site study.title · “Gut metagenomes of patients”
  • body site study.description · “Stool samples were collected”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN15723009collection_date2020-03R10.90biosample.attribute:collection_date2020-03
SAMN15722979countryHKR10.90sample.attr.geo_loc_nameHong Kong: Shatin
SAMN15723009health_conditionother_infectionR10.85biosample.attribute:descriptionCOVID-19
SAMN15722979health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN15723009health_condition_detailCOVID-19R10.85biosample.attribute:descriptionCOVID-19
SAMN15722979health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN15722979latitude22.3800R10.90biosample.attribute:lat_lon22.38 N 114.2 E
SAMN15722979location_localityShatinR10.85biosample.attribute:geo_loc_nameHong Kong: Shatin
SAMN15722979longitude114.2000R10.90biosample.attribute:lat_lon22.38 N 114.2 E
Sequencing

274 runs over 274 samples · mean 6.79 Gbp per run (median 5.50 Gbp, total 1,859.20 Gbp; 274 runs with a base count) · layout PAIRED 274 · platform ILLUMINA 274 · models Illumina NovaSeq 6000 (274) · 88% of runs with a Sandpiper profile · first public 2021-01-12 – 2021-01-13

Authors (41)

Ahmadi Badi S first · Kariman A · Bereimipour A · Shojaie S · Aghsadeghi M · Khatami S · Masotti A last · Pusadkar V first · Mazumder A · Azad A · Patil D · Azad RK last · Tarracchini C first · Lugli GA · Mancabelli L · van Sinderen D · Turroni F · Ventura M · Milani C last · Xu Z first · Yeoh YK · Tun HM · Fei N · Zhang J · Morrison M · Kamm MA · Yu J · Chan FKL · Ng SC last · Qian K first · Du M · Tan S · Ding M · Song M · Lu M · Qi C · Cheng L · Zhang X last · Ke S first · Weiss ST · Liu Y last

Downloads

PRJNA650244.csv.gz (7.4 KB) · parquet (80.0 KB) — all 274 samples, every field with route and confidence · PRJNA650244_determinations.csv.gz (11.2 KB) — 1,840 evidence rows

Samples (274 · every field this project has values for · hover a cell for its source)
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