Home › Studies › PRJNA792726
PRJNA792726 SRP352652

Gut microbiome in COVID-19 severity, China, case-control

Integrated analysis of gut microbiome and host immune responses in COVID-19

38 faecal samples from adults and elderly individuals in China, comparing severe/critical versus mild/moderate COVID-19 cases in a case-control design to study gut microbiota and host immune response links. machine-written summary

38 samples · 38 runs · CN · Adult · 2022 · 12.44 Gbp / sample

Sources
✓Sequence archive 266○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 archive266 sample values (age, collection date, country, health condition, health condition detail, sex, subject id)
○ Abstract / descriptionread; no usable statement
– 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
1 country
Age
adult33
elderly5
Condition
other_infection38
Sex
male28
female10
Country
CN38
Body site
primary38
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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 3 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 35 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 12.44 Gbp per sample0130Gbp
Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category38 100%
country38 100%38
health_condition38 100%38
subject_id38 100%38
age_at_collection_days38 100%38
collection_date38 100%38
health_condition_detail38 100%38
sex38 100%38
Papers (4)
  • Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomes. 2022 PMID 36068270 PMC9446638 unsure
  • Untangling the link between the human gut microbiota composition and the severity of the symptoms of the COVID-19 infection. 2022 PMID 36086955 PMC9538590 unsure
  • Guild-Level Microbiome Signature Associated with COVID-19 Severity and Prognosis. 2023 PMID 36744910 PMC9973266 unsure
  • Guild-level microbiome signature associated with COVID-19 severity and prognosis 2022 unsure
Details
Archive description

To study the interplay between the gut microbiota and host immune response in COVID-19 patients, we profiled the gut microbiome in 14 severe/critical and 24 mild/moderate COVID-19 cases and analyzed gut microbes' diversity, composition, and features between the two groups. Moreover, we investigated the correlation between the gut microbes and the clinical features (including serology, immune cell composition, and markers related to organ damage) and uncovered potential links between the gut microbe diversity and host immune response post-SARS-CoV-2 infection.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.65. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “profiled the gut microbiome in 14 severe/critical”
  • life stage sample.attr.host_age · “26 (n=31/38)”
  • life stage sample.attr.host_age · “72 (n=6/38)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN24451555age_at_collection_days11688.0R10.70sample.attr.host_age32
SAMN24451555collection_date2020R10.90biosample.attribute:collection_date2020
SAMN24451555countryCNR10.90sample.attr.geo_loc_nameChina
SAMN24451555health_conditionother_infectionR10.85biosample_attrCOVID-19
SAMN24451555health_condition_detailCOVID-19R10.90sample.attr.host_diseaseCOVID-19
SAMN24451555sexfemaleR10.90sample.attr.host_sexfemale
SAMN24451555subject_idM1R10.70sample.name_rule:isolateisolate M1; TITLE Mild COVID-19 patient 1
Sequencing

38 runs over 38 samples · mean 12.21 Gbp per run (median 12.44 Gbp, total 463.90 Gbp; 38 runs with a base count) · layout PAIRED 38 · platform ILLUMINA 38 · models Illumina NovaSeq 6000 (38) · 95% of runs with a Sandpiper profile · first public 2022-03-18

Authors (25)

Ke S first · Weiss ST · Liu YY last · Mancabelli L first · Milani C · Fontana F · Lugli GA · Tarracchini C · Viappiani A · Ciociola T · Ticinesi A · Nouvenne A · Meschi T · Turroni F · Ventura M last · Guo M first · Wu G · Tan Y · Li Y · Jin X · Qi W · Guo X · Zhang C · Zhu Z · Zhao L last

Downloads

PRJNA792726.csv.gz (2.1 KB) · parquet (71.1 KB) — all 38 samples, every field with route and confidence · PRJNA792726_determinations.csv.gz (2.8 KB) — 266 evidence rows

Samples (38 · every field this project has values for · hover a cell for its source)
Loading the sample table…