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PRJNA629755 SRP259579

Gut metagenome in cavernous angioma, case-control, USA

Microbiome Signatures of Cavernous Angioma

154 gut metagenome samples from USA subjects with cavernous angioma (127) and healthy controls (27), using shotgun sequencing in a case-control design to find microbiome signatures linked to disease severity and hemorrhage. machine-written summary

154 samples · 154 runs · US · Age unknown · 2020 · 1.71 Gbp / sample

Sources
✓Sequence archive 1,024○Abstract / description○Full text✓Supplementary tables 381✓External resources 54–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,024 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11264914, PMC11748132, PMC7253448, PMC9984539
✓ Supplementary tables381 sample values (age, sex, subject id)
✓ External resources54 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
adult96
unknown28
elderly14
adolescent9
child4
infant3
Condition
other_disease127
healthy_control27
Sex
female88
male39
Country
US154
Body site
primary154
Collected 2010–2018
2010: 27 samples2017: 78 samples2018: 49 samples20102018
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: 154 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all 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 1.71 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

5 of 122 people sampled more than once (10 samples; median 2, up to 2 per person) · follow-up median 2 mo (max 10 mo) · median interval between samples 2 mo (time from age at collection).

162162: day 0162: day 192165165: day 0165: day 16263263: day 0263: day 14264264: day 0264: day 298385385: day 0385: day 640 d2 mo5 mo7 mo10 mo

Each row is one person (5 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 23.3%Phocaeicola 15.7%Alistipes 7.7%Parabacteroides 3.0%Roseburia 2.9%Prevotella 2.5%Faecalibacterium 2.4%Blautia_A 1.4%Lachnospira 1.4%Gemmiger 1.2%Dialister 1.2%Akkermansia 1.1%not assigned to a genus 9.1%other genera 27.0%

Genera, mean relative abundance over 138 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category126 82%
country154 100%154
health_condition154 100%12727
subject_id127 82%127
collection_date154 100%154
detailed_location154 100%
health_condition_detail154 100%12727
latitude154 100%154
location_region154 100%154
longitude154 100%154
age_at_collection_days127 82%127
sex127 82%127
Papers (4)
  • Permissive microbiome characterizes human subjects with a neurovascular disease cavernous angioma. 2020 PMID 32461638 PMC7253448 own_data
  • Plasma metabolites with mechanistic and clinical links to the neurovascular disease cavernous angioma. 2023 PMID 36869161 PMC9984539 own_data
  • Unassigning bacterial species for microbiome studies. 2024 PMID 38912768 PMC11264914 own_data
  • Circulating molecules reflect imaging biomarkers of hemorrhage in cerebral cavernous malformations. 2025 PMID 39829356 PMC11748132 own_data
Details
Archive description

Cavernous angiomas (CA) are common vascular anomalies causing brain hemorrhage. Based on mouse studies, roles of gram-negative bacteria and altered intestinal homeostasis have been implicated in CA pathogenesis and pilot study had suggested potential microbiome differences between non-CA and CA individuals based on 16S rRNA gene sequencing. We here assess microbiome differences in a larger cohort of human subjects with and without CA, and among subjects with different clinical features, and conduct more definitive microbial analyses using metagenomic shotgun sequencing. Relative abundance of distinct bacterial species in CA patients is shown, consistent with postulated permissive microbiome driving CA lesion genesis via lipopolysaccharide signaling, in humans as in mice. Other microbiome differences are related to CA clinical behavior.

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 study.description · “human subjects with and without CA”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN14786404age_at_collection_days25932.8R20.80paper.supp.41467_2020_16436_MOESM3_ESM.zip::Patient_Matrix.xlsx[CA patient][nan]71
SAMN14786377collection_date2010-01-01R10.90biosample.attribute:collection_date2010-01-01T09:00:00Z
SAMN14786377countryUSR10.90sample.attr.geo_loc_nameUSA
SAMN14786404health_conditionother_diseaseR10.90biosample_attrCavernous Angioma
SAMN14786377health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN14786404health_condition_detailCavernous AngiomaR10.90sample.attr.host_diseaseCavernous Angioma
SAMN14786377health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN14786377latitude41.7890R10.90biosample.attribute:lat_lon41.789 N 87.602 W
SAMN14786377location_regionIllinoisR10.60biosample.attribute:lat_lon41.789 N 87.602 W
SAMN14786377longitude-87.6020R10.90biosample.attribute:lat_lon41.789 N 87.602 W
SAMN14786404sexfemaleR20.80paper.supp.41467_2020_16436_MOESM3_ESM.zip::Patient_Matrix.xlsx[CA patient][nan]F
SAMN14786404subject_id09385-011R20.80paper.supp.41467_2020_16436_MOESM3_ESM.zip::Patient_Matrix.xlsx[CA patient][nan]09385-011
Sequencing

154 runs over 154 samples · mean 1.73 Gbp per run (median 1.71 Gbp, total 266.72 Gbp; 154 runs with a base count) · layout PAIRED 154 · platform ILLUMINA 154 · models Illumina HiSeq 2500 (154) · 90% of runs with a Sandpiper profile · first public 2020-05-03

Authors (60)

Polster SP first · Sharma A · Tanes C · Tang AT · Mericko P · Cao Y · Carrión-Penagos J · Girard R · Koskimäki J · Zhang D · Stadnik A · Romanos SG · Lyne SB · Shenkar R · Yan K · Lee C · Akers A · Morrison L · Robinson M · Zafar A · Bittinger K · Kim H · Gilbert JA · Kahn ML · Shen L · Awad IA last · Srinath A first · Xie B · Li Y · Sone JY · Romanos S · Chen C · Polster S · Dorrestein PC · Weldon KC · DeBiasse D · Moore T · Lightle R · Piedad K · Hagan M · Shkoukani A · Bi D · Ji Y · Sidebottom A · Pamer E · D'Souza M · Sulakhe D · Tu V · Daniel S · Hage SF first · Bi DE · Kinkade S · Vera Cruz D · Jhaveri A · Bindal A · Little JC · Alcazar-Felix RJ · Lee J · Carroll TJ · Koskimaki J

Downloads

PRJNA629755.csv.gz (6.0 KB) · parquet (78.5 KB) — all 154 samples, every field with route and confidence · PRJNA629755_determinations.csv.gz (12.1 KB) — 1,459 evidence rows

Samples (154 · every field this project has values for · hover a cell for its source)
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