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PRJNA954584 SRP432180

Gut microbiome in bullous pemphigoid vs controls, Germany

The gut microbiome in bullous pemphigoid

132 samples from bullous pemphigoid patients and age-, sex-, and study center-matched controls with non-inflammatory skin diseases, mainly elderly, collected across Germany, Bulgaria, and Finland in a case-control study. machine-written summary

132 samples · 132 runs · DE, BG, FI · Age unknown · 2023 · 6.43 Gbp / sample

Sources
✓Sequence archive 655✓Abstract / description 132✓Full text 135✓Supplementary tables 266–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive655 sample values (collection date, country, health condition, health condition detail, location locality)
✓ Abstract / description132 sample values (subject id)
✓ Full text135 sample values (antibiotic exposure, collection date) · PMC10668026
✓ Supplementary tables266 sample values (age, health condition, health condition detail, sex)
– 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
3 countries
Age
elderly124
adult8
Condition
autoimmune_inflammatory66
other_disease65
healthy_control1
Sex
male86
female46
Country
DE116
BG10
FI6
Body site
primary132
Collected 2015–2020
2015: 8 samples2016: 54 samples2017: 39 samples2018: 24 samples2019: 1 samples2020: 6 samples20152020
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: 12 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 89 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 31 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 6.43 Gbp per sample0130Gbp
Community composition
Bacteroides 8.8%Prevotella 6.0%Alistipes 5.7%Phocaeicola 4.7%Akkermansia 1.7%Escherichia 1.6%Vescimonas 1.3%Faecalibacterium 1.3%Cryptobacteroides 1.0%Roseburia 0.9%Ruminococcoides 0.9%UMGS775 0.7%not assigned to a genus 53.9%other genera 11.5%

Genera, mean relative abundance over 123 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category132 100%
country132 100%132
health_condition132 100%1311
subject_id132 100%132
age_at_collection_days132 100%132
antibiotic_exposure132 100%132
collection_date132 100%1293
detailed_location132 100%
health_condition_detail132 100%1311
location_locality132 100%132
sex132 100%132
Papers (1)
  • The gut microbiome in bullous pemphigoid: implications of the gut-skin axis for disease susceptibility. 2023 PMID 38022583 PMC10668026 own_data
Details
Archive description

The gut microbiome in bullous pemphigoid: implications of the gut-skin axis for disease susceptibility

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.78. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN34154367age_at_collection_days25202R20.85paper.supp.DataSheet_2.xlsx[Table S1!Age]69
SAMN34154367antibiotic_exposurenoR30.70paper.fulltext.methodsno antibiotic therapy four weeks prior to sampling
SAMN34154367collection_date2017-01-23R10.90biosample.attribute:collection_date2017-01-23
SAMN34154390collection_date2015-06/2020-07R30.60paper.fulltext.resultsfrom June 2015 to July 2020
SAMN34154367countryDER10.90sample.attr.geo_loc_nameGermany: Dresden
SAMN34154367health_conditionother_diseaseR10.70sample.name_rule:titleBP_DD_K150003
SAMN34154429health_conditionhealthy_controlR20.80paper.supp.DataSheet_2.xlsx[Table S1!Disease Status]controls
SAMN34154367health_condition_detailNon-inflammatory skin disease control e.g. basal/squamous cell carcinomaR10.70sample.name_rule:titleBP_DD_K150003
SAMN34154429health_condition_detailcontrolsR20.85paper.supp.DataSheet_2.xlsx[Table S1!Disease Status]controls
SAMN34154367location_localityDresdenR10.85biosample.attribute:geo_loc_nameGermany: Dresden
SAMN34154367sexmaleR20.85paper.supp.DataSheet_2.xlsx[Table S1!Gender]Male
SAMN34154367subject_idSAMN34154367R40.60design.one_sample_per_subject:abstract66 age-, sex-, and study center-matched controls (CL) with non-inflammatory skin diseases (132 total participants)
Sequencing

132 runs over 132 samples · mean 7.31 Gbp per run (median 6.43 Gbp, total 964.79 Gbp; 132 runs with a base count) · layout PAIRED 132 · platform ILLUMINA 132 · models Illumina NovaSeq 6000 (132) · 93% of runs with a Sandpiper profile · first public 2023-10-30

Authors (28)

Liu X first · van Beek N · Cepic A · Andreani NA · Chung CJ · Hermes BM · Yilmaz K · Benoit S · Drenovska K · Gerdes S · Gläser R · Goebeler M · Günther C · von Georg A · Hammers CM · Holtsche MM · Hübner F · Kiritsi D · Schauer F · Linnenmann B · Huilaja L · Tasanen-Määttä K · Vassileva S · Zillikens D · Sadik CD · Schmidt E · Ibrahim S · Baines JF last

Downloads

PRJNA954584.csv.gz (5.5 KB) · parquet (77.8 KB) — all 132 samples, every field with route and confidence · PRJNA954584_determinations.csv.gz (10.7 KB) — 1,188 evidence rows

Samples (132 · every field this project has values for · hover a cell for its source)
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