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PRJNA909223 SRP411992

Gut/oropharyngeal microbiome in COVID-19 vs controls, Berlin

Study of microbiome alterations in hospitalized COVID-19 patients and non-infected controls

192 samples (stool, oropharyngeal swabs, tracheobronchial secretions) from hospitalized adult and elderly COVID-19 patients and non-infected controls in Berlin, Germany, in a case-control study of microbiome alterations linked to COVID-19 severity. machine-written summary

192 samples · 192 runs · DE · Age unknown · 2024 · 3.50 Gbp / sample

Sources
✓Sequence archive 1,911✓Abstract / description 192✓Full text 192○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 archive1,911 sample values (age, bmi, collection date, country, latitude, location locality, location region, longitude)
✓ Abstract / description192 sample values (health condition detail)
✓ Full text192 sample values (location site) · PMC11291933
○ 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
adult108
elderly84
Sex
male135
female57
Country
DE192
Body site
excluded111
primary81
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: 18 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 21 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 18 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 35 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 91 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 9 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 3.50 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

27 of 41 people sampled more than once (67 samples; median 2, up to 6 per person) · follow-up median 6 d (max 29 d) · median interval between samples 6 d (time from collection dates). Schedule stated by the source: “Controls sampled day 1 and again 3–7 days later; patients classified early (≤10d) or late (>10d) post symptom onset, repeated stool/OP/TBS sampling” (time origin: other).

C19-CB-114C19-CB-114: day 0C19-CB-114: day 5C19-CB-114: day 11C19-CB-115C19-CB-115: day 0C19-CB-115: day 1C19-CB-120C19-CB-120: day 0C19-CB-120: day 1C19-CB-120: day 2C19-CB-120: day 8C19-CB-120: day 15C19-CB-120: day 22C19-CB-135C19-CB-135: day 0C19-CB-135: day 7C19-CB-135: day 10C19-CB-135: day 17C19-CB-135: day 24C19-CB-157C19-CB-157: day 0C19-CB-157: day 5C19-CB-164C19-CB-164: day 0C19-CB-164: day 6C19-CB-164: day 13C19-CB-164: day 29C19-CB-179C19-CB-179: day 0C19-CB-179: day 2C19-CB-179: day 7C19-CB-198C19-CB-198: day 0C19-CB-198: day 5C19-CB-66C19-CB-66: day 0C19-CB-66: day 3C19-CB-75C19-CB-75: day 0C19-CB-75: day 5C19-CB-86C19-CB-86: day 0C19-CB-86: day 4C19-CB-86: day 6C19-CB-87C19-CB-87: day 0C19-CB-87: day 0C19-CB-87: day 3K-01K-01: day 0K-01: day 7K-02K-02: day 0K-02: day 6K-03K-03: day 0K-03: day 8K-04K-04: day 0K-04: day 6K-05K-05: day 0K-05: day 10K-06K-06: day 0K-06: day 4K-07K-07: day 0K-07: day 7K-08K-08: day 0K-08: day 3K-09K-09: day 0K-09: day 7K-10K-10: day 0K-10: day 7K-11K-11: day 0K-11: day 7K-12K-12: day 0K-12: day 5K-13K-13: day 0K-13: day 6K-14K-14: day 0K-14: day 7K-15K-15: day 0K-15: day 20 d7 d14 d22 d29 d

Each row is one person (27 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 5.8%Phocaeicola 5.0%Ruminococcoides 4.2%Enterococcus_B 3.9%Faecalibacterium 3.8%Blautia_A 3.8%Prevotella 3.6%Alistipes 3.6%Bifidobacterium 3.5%Gemmiger 3.0%Mediterraneibacter 2.6%Roseburia 2.5%not assigned to a genus 4.3%other genera 50.3%

Genera, mean relative abundance over 75 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category192 100%
country192 100%192
health_condition0 0%
subject_id192 100%192
age_at_collection_days192 100%192
collection_date192 100%192
detailed_location192 100%
health_condition_detail192 100%192
latitude192 100%192
location_locality192 100%192
location_region192 100%192
location_site192 100%192
longitude192 100%192
sex192 100%192
bmi183 95%183
Papers (1)
  • Gut microbiota dysbiosis is associated with altered tryptophan metabolism and dysregulated inflammatory response in COVID-19. 2024 PMID 39085233 PMC11291933 own_data
Details
Archive description

The clinical course of the 2019 coronavirus disease (COVID-19) is variable and largely unpredictable, especially in persons who have neither been vaccinated nor recovered from previous infection. We hypothesized that disease progression and inflammatory responses were associated with alterations in the microbiome. To test this, we characterized the metagenome of longitudinally collected stool samples and oropharyngeal swabs from hospitalized COVID-19 patients and non-infected controls, as well as tracheobronchial secretions from ventilated patients with COVID-19. Severe COVID-19 was directly associated with a depletion of potentially beneficial intestinal microbes mainly belonging to Clostridiales, whereas oropharyngeal microbiota disturbance appeared to be mainly driven by antibiotic use. Collectively, our study identifies microbiome alterations in severe COVID-19.

How this project entered the registry

Classified as human gut / stool / oral cavity / lower respiratory / multiple sites / nasal / nasopharyngeal shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host run.scientific_name · “human metagenome”
  • body site study.description · “stool samples and oropharyngeal swabs”
  • body site study.description · “tracheobronchial secretions from ventilated patients”
  • body site sample.attr.env_medium · “oropharyngeal (OP) swabs [UBERON:0001729] (n=93/192)”
  • life stage sample.attr.host_age · “63 (n=108/192)”
  • life stage sample.attr.host_age · “76 (n=74/192)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN32072363age_at_collection_days13504.0R10.85sample.attr.host_age37
SAMN32072363bmi41.52R10.90sample.attr.host_body_mass_index41.52
SAMN32072363collection_date2020-04-01R10.90biosample.attribute:collection_date2020-04-01
SAMN32072363countryDER10.90sample.attr.geo_loc_nameGermany: Berlin
SAMN32072363health_condition_detailmixed_case_control: severe COVID-19 patients vs healthy controlsR40.40study.descriptionhospitalized COVID-19 patients and non-infected controls
SAMN32072363latitude52.4422R10.90biosample.attribute:lat_lon52.4422263 N 13.3211978 E
SAMN32072363location_localityBerlinR10.85biosample.attribute:geo_loc_nameGermany: Berlin
SAMN32072363location_regionBerlinR10.60biosample.attribute:lat_lon52.4422263 N 13.3211978 E
SAMN32072363location_siteCharité-Universitätsmedizin BerlinR30.70paper.fulltext.methodstreated at Charité-Universitätsmedizin Berlin
SAMN32072363longitude13.3212R10.90biosample.attribute:lat_lon52.4422263 N 13.3211978 E
SAMN32072363sexfemaleR10.90sample.attr.host_sexfemale
SAMN32072363subject_idC19-CB-43R10.70sample.name_rule:titletitle: C19-CB-43
Sequencing

192 runs over 192 samples · mean 4.26 Gbp per run (median 3.50 Gbp, total 818.18 Gbp; 192 runs with a base count) · layout PAIRED 192 · platform ILLUMINA 192 · models Illumina NovaSeq 6000 (192) · 66% of runs with a Sandpiper profile · first public 2024-06-10

Authors (29)

Essex M first · Millet Pascual-Leone B · Löber U · Kuhring M · Zhang B · Brüning U · Fritsche-Guenther R · Krzanowski M · Fiocca Vernengo F · Brumhard S · Röwekamp I · Anna Bielecka A · Lesker TR · Wyler E · Landthaler M · Mantei A · Meisel C · Caesar S · Thibeault C · Corman VM · Marko L · Suttorp N · Strowig T · Kurth F · Sander LE · Li Y · Kirwan JA · Forslund SK · Opitz B last

Downloads

PRJNA909223.csv.gz (7.0 KB) · parquet (79.9 KB) — all 192 samples, every field with route and confidence · PRJNA909223_determinations.csv.gz (18.3 KB) — 2,295 evidence rows

Samples (192 · every field this project has values for · hover a cell for its source)
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