Gut microbiome in Takayasu arteritis, China, cross-sectional
67 gut metagenome samples from China, studied in a cross-sectional design examining gut microbiome, metabolome, and lipidome alterations in Takayasu arteritis. machine-written summary
67 samples · 67 runs · CN · Age unknown · 2023 · 7.85 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 268 sample values (collection date, country, latitude, longitude) |
| ○ Abstract / description | read; no usable statement |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 60 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 67 | 100% | 67 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| collection_date | 67 | 100% | 67 | |||
| latitude | 67 | 100% | 67 | |||
| longitude | 67 | 100% | 67 |
- Alterations of Gut Microbiome, Metabolome, and Lipidome in Takayasu Arteritis. 2023 PMID 36054683 own_data
Archive description
Mounting evidences have linked microbiome and metabolome to systemic autoimmunity and cardiovascular diseases. A rare overlapped disease, Takayasu arteritis(TA), has limited information. This study aimed to characterize discriminatory gut dysbiosis, host metabolite and lipid profiles, and their crosstalk with disease phenotypes in TA.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.75. Assay shotgun_dna.
- host run.scientific_name · “human gut metagenome”
- host study.description · “host metabolite and lipid profiles”
- body site study.title · “Alterations of gut microbiome”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA7689959 | collection_date | 2019-01-10 | R1 | 0.90 | biosample.attribute:collection_date | 2019-01-10 |
| SAMEA7689959 | country | CN | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | China |
| SAMEA7689959 | latitude | 39.9000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 39.9 N 116.3 E |
| SAMEA7689959 | longitude | 116.3000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 39.9 N 116.3 E |
Sequencing
67 runs over 67 samples · mean 7.91 Gbp per run (median 7.85 Gbp, total 529.97 Gbp; 67 runs with a base count) · layout PAIRED 67 · platform ILLUMINA 67 · models Illumina NovaSeq 6000 (67) · 90% of runs with a Sandpiper profile · first public 2023-01-03
Authors (0)
No author record.
Help complete this project
3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata
Downloads
PRJEB41539.csv.gz (2.6 KB) · parquet (72.2 KB) — all 67 samples, every field with route and confidence · PRJEB41539_determinations.csv.gz (2.2 KB) — 268 evidence rows