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PRJEB24557 ERP106388

Gut microbiome in retinal artery occlusion, Switzerland

Alterations of the intestinal microbiome in patients with retinal artery occlusion

Case-control study of 59 gut metagenome samples from Switzerland, comparing patients with non-arteritic retinal artery occlusion to age- and sex-matched healthy controls. machine-written summary

59 samples · 59 runs · CH · Age unknown · 2019 · 7.42 Gbp / sample

Sources
✓Sequence archive 355○Abstract / description✓Full text 177○Supplementary tables✓External resources 117–User contribution–Human verified

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

what each source gave
✓ Sequence archive355 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text177 sample values (location locality, location site, subject id) · PMC10202153, PMC6814871, PMC7463023, PMC8523055
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources117 sample values (antibiotic exposure, health condition, health condition detail) · from GMrepo v3, Meta2DB (LLNL)
– 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
unknown59
Condition
healthy_control30
other_disease29
Country
CH59
Body site
primary59
Collected 2015–2016
2015: 11 samples2016: 48 samples20152016
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: 2 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 41 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 16 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 7.42 Gbp per sample0130Gbp
Community composition
Prevotella 10.8%Alistipes 7.9%Bacteroides 6.6%Faecalibacterium 5.8%Gemmiger 4.9%Phocaeicola 4.8%Vescimonas 3.8%Hominicoprocola 2.1%Roseburia 1.9%Oscillibacter 1.8%Akkermansia 1.7%CAG-170 1.6%not assigned to a genus 6.0%other genera 40.3%

Genera, mean relative abundance over 54 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country59 100%59
health_condition59 100%3029
subject_id59 100%59
antibiotic_exposure59 100%59
collection_date59 100%59
detailed_location59 100%
health_condition_detail59 100%3029
latitude59 100%59
location_locality59 100%59
location_region59 100%59
location_site59 100%59
longitude59 100%59
Papers (4)
  • Retinal artery occlusion is associated with compositional and functional shifts in the gut microbiome and altered trimethylamine-N-oxide levels. 2019 PMID 31653902 PMC6814871 own_data
  • Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration. 2020 PMID 32922859 PMC7463023 unsure
  • The importance of age in compositional and functional profiling of the human intestinal microbiome. 2021 PMID 34662347 PMC8523055 unsure
  • Metagenomic Sequencing Analysis Identifies Cross-Cohort Gut Microbial Signatures Associated With Age-Related Macular Degeneration. 2023 PMID 37195657 PMC10202153 unsure
Details
Archive description

Purpose: Retinal artery occlusion usually occurs on a background of atherosclerotic disease and patients are at risk for cerebral stroke and ischemic heart disease. Atherosclerosis has been associated with alterations in the intestinal microbiome. Methods: Twenty nine patients with clinically confirmed non-arteritic retinal artery occlusion and 30 age- and sex-matched controls were included. The gut metagenome was sequenced using metagenomic shotgun sequencing following standard pipelines of the Illumina HiSeq 3000 platform. The taxonomic composition of the gut microbiomes was described and the functional profiles of the identified microbes were identified. Results: On the phylum level, the relative abundance of Bacteriodetes was decreased in patients with retinal artery occlusion (39.2 ± 16.7%) compared to controls (46.7 ± 17.6%) whereas the opposite applied for the phylum of Firmicutes (39.6 ± 20.0% in RAO and 40.8 ± 16.0% (s.d.) in controls). Several genera and species such as Actinobacter, Bacteroides stercoris, Faecalibacterium prausnitzii were relatively enriched in patients with retinal artery occlusion, whereas others such as Odoribacter or Lachnospiraceae were significantly lower. Patient’s gut microbiomes were enriched in genes of the cholesterol metabolism pathway. Conclusions: Alterations in the gut microbiome are associated with retinal artery occlusion, suggesting that retinal artery occlusion could be targeted by microbiome-altering interventions.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.scientific_name · “Homo sapiens”
  • body site study.description · “gut metagenome was sequenced using metagenomic shotgun sequencing”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA104500027antibiotic_exposurenoR20.70external.meta2db sourceantibiotics: FALSE
SAMEA104500027collection_date2015-11-23R10.90biosample.attribute:collection_date2015-11-23
SAMEA104500027countryCHR10.90sample.attr.geographic_location_country_and_or_seaSwitzerland
SAMEA104500056health_conditionhealthy_controlR10.85biosample.attribute:descriptioncontrol
SAMEA104500027health_conditionother_diseaseR20.75external.gmrepo sourcephenotype: Retinal Artery Occlusion
SAMEA104500056health_condition_detailcontrolR10.85biosample.attribute:descriptioncontrol
SAMEA104500027health_condition_detailRetinal Artery OcclusionR20.75external.gmrepo sourcephenotype: Retinal Artery Occlusion
SAMEA104500027latitude46.9167R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude46.9167 7.4667
SAMEA104500027location_localityBernR30.70paper.fulltext.methodsUniversity Hospital Bern (Inselspital), Switzerland
SAMEA104500027location_regionBernR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude46.9167 7.4667
SAMEA104500027location_siteDepartment of Ophthalmology, University Hospital Bern (Inselspital)R30.70paper.fulltext.methodsrecruited from the Department of Ophthalmology of the University Hospital Bern
SAMEA104500027longitude7.4667R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude46.9167 7.4667
SAMEA104500027subject_idSAMEA104500027R30.70design.one_sample_per_subject:fulltextParticipants (n = 59) were recruited from the Department of Ophthalmology
Sequencing

59 runs over 59 samples · mean 8.30 Gbp per run (median 7.42 Gbp, total 489.85 Gbp; 59 runs with a base count) · layout PAIRED 59 · platform ILLUMINA 59 · models Illumina HiSeq 3000 (59) · 92% of runs with a Sandpiper profile · first public 2019-03-21

Authors (43)

Zysset-Burri DC first · Keller I · Berger LE · Neyer PJ · Steuer C · Wolf S · Zinkernagel MS last · Largiadèr CR · Wittwer M · Herzog EL first · Wäfler M · Xue W first · Peng P · Wen X · Meng H · Qin Y · Deng T · Guo S · Chen T · Li X · Liang J · Zhang F · Xie Z · Jin M · Liang Q · Wei L last · Argentini C first · Lugli GA · Tarracchini C · Fontana F · Mancabelli L · Viappiani A · Anzalone R · Angelini L · Alessandri G · Longhi G · Bianchi MG · Taurino G · Bussolati O · Milani C · van Sinderen D · Turroni F · Ventura M last

Downloads

PRJEB24557.csv.gz (2.8 KB) · parquet (73.7 KB) — all 59 samples, every field with route and confidence · PRJEB24557_determinations.csv.gz (5.9 KB) — 649 evidence rows

Samples (59 · every field this project has values for · hover a cell for its source)
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