Gut microbiota in atrial fibrillation recurrence, China
93 gut metagenome samples from adults in China, comparing non-AF controls with recurrent and non-recurrent atrial fibrillation patients after ablation; case-control design. machine-written summary
93 samples · 93 runs · CN · Adult · 2019 · 6.85 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 372 sample values (collection date, country, health condition, health condition detail) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 93 sample values (location region) · PMC10623955, PMC6543127, PMC6906738, PMC9467389 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 85 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 | 93 | 100% | ||||
| country | 93 | 100% | 93 | |||
| health_condition | 93 | 100% | 93 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 93 | 100% | 93 | |||
| detailed_location | 93 | 100% | ||||
| health_condition_detail | 93 | 100% | 93 | |||
| location_region | 93 | 100% | 93 |
- Disordered gut microbiota and alterations in metabolic patterns are associated with atrial fibrillation. 2019 PMID 31149718 PMC6543127 own_data
- Duration of Persistent Atrial Fibrillation Is Associated with Alterations in Human Gut Microbiota and Metabolic Phenotypes. 2019 PMID 31822598 PMC6906738 own_data
- Different Types of Atrial Fibrillation Share Patterns of Gut Microbiota Dysbiosis. 2020 PMID 32188747 PMC7082137 own_data
- Metagenomic data-mining reveals enrichment of trimethylamine-N-oxide synthesis in gut microbiome in atrial fibrillation patients. 2020 PMID 32731896 PMC7391570 own_data
- Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation. 2020 PMID 33058365 PMC7701499 own_data
5 more
- Altered synthesis of genes associated with short-chain fatty acids in the gut of patients with atrial fibrillation. 2021 PMID 34465304 PMC8406843
- Association between Gut Microbiota Dysbiosis and the CHA2DS2-VASc Score in Atrial Fibrillation Patients. 2022 PMID 35685549 PMC9159190
- Alterations of gut viral signals in atrial fibrillation: complex linkage with gut bacteriome. 2022 PMID 35985693 PMC9467389
- Aggravated Gut Microbiota and Metabolomic Imbalances Are Associated with Hypertension Patients Comorbid with Atrial Fibrillation. 2022 PMID 36291654 PMC9599445
- Suppression of the gut microbiota-bile acid-FGF19 axis in patients with atrial fibrillation. 2023 PMID 37186335 PMC10623955
Archive description
With the establishment of the heart-gut axis concept, accumulating studies suggest that the gut microbiome plays an important role in the genesis of cardiovascular diseases. Yet, little evidence has been reported characterizing the gut microbiota shift in correspondence to arrhythmia, particularly in atrial fibrillation, the most common type of cardiac arrhythmia with worldwide prevalence. We include the first result of the global alterations that occur in the intestinal microbiota based on a strategy of metagenomic and metabolomic analyses. Our findings characterize the disordered gut microbiota and microbial metabolite profiles in atrial fibrillation. Intervention strategies targeting microbiome composition to counteract the progression of atrial fibrillation are highly suggested.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- body site study.title · “Disordered gut microbiota and alterations”
- body site study.description · “of the heart- gut axis concept, accumulating”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA4867829 | collection_date | 2017-09-01 | R1 | 0.90 | biosample.attribute:collection_date | 2017-09-01 |
| SAMEA4867829 | country | CN | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | China |
| SAMEA4867829 | health_condition | cardiometabolic_other | R1 | 0.70 | sample.name_rule:alias | AF1 |
| SAMEA4867829 | health_condition_detail | atrial fibrillation patient | R1 | 0.70 | sample.name_rule:alias | AF1 |
| SAMEA4867829 | location_region | Northern China | R3 | 0.70 | paper.fulltext.methods | non-valvular AF study |
Sequencing
93 runs over 93 samples · mean 6.49 Gbp per run (median 6.85 Gbp, total 603.20 Gbp; 93 runs with a base count) · layout PAIRED 93 · platform ILLUMINA 93 · models Illumina HiSeq 4000 (49), Illumina NovaSeq 6000 (44) · 91% of runs with a Sandpiper profile · first public 2019-02-27
Authors (18)
Zuo K first · Liu X · Wang P · Jiao J · Han C · Liu Z · Yin X · Li J · Yang X last · Zhang J first · Fang C · Zhong J · Li K · Xu L · Fu Y · Zhu X · Gao Y · Wang H
Downloads
PRJEB28384.csv.gz (3.0 KB) · parquet (73.1 KB) — all 93 samples, every field with route and confidence · PRJEB28384_determinations.csv.gz (3.9 KB) — 465 evidence rows