Gut microbiome in hypertension, case-control study, China
196 faecal samples from adults in China, comparing a cardiometabolic/hypertension-related group (n=155) with healthy controls (n=41) in a case-control design involving faecal microbiota transplantation. machine-written summary
196 samples · 196 runs · CN · Adult · 2016 · 5.34 Gbp / sample · cohort Metagenomic analyses of 7000 to 5500 years old cop
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 976 sample values (collection date, country, latitude, longitude, sex) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 588 sample values (location locality, location site, subject id) · PMC10018148, PMC10192909, PMC9035803, PMC9657571 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| ✓ External resources | 587 sample values (antibiotic exposure, health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3) |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention — arms not resolved
Faecal microbiota transplantation design observational_with_procedure · population cardiometabolic_other · FMT from hypertensive/pre-hypertensive patients to germ-free mice
“performed fecal microbiota transplantation from patients to germ-free mice” — abstract:28143587 (study level; per-sample arms are in the intervention column below)
health condition: curatedMetagenomicData and GMrepo disagree for 1 sample (e.g. healthy_control vs cardiometabolic_other) — withheld.
The sources disagree on 1 sample. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).
Contradicted values (1)
| sample | field | value | other value | handling |
|---|---|---|---|---|
| SAMEA3951639 | health condition | healthy_control (curatedMetagenomicData) | cardiometabolic_other (GMrepo) | withheld: neither value published |
Genera, mean relative abundance over 180 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 | 196 | 100% | ||||
| country | 196 | 100% | 196 | |||
| health_condition | 195 | 99% | 195 | |||
| subject_id | 196 | 100% | 196 | |||
| antibiotic_exposure | 196 | 100% | 196 | |||
| collection_date | 196 | 100% | 196 | |||
| detailed_location | 196 | 100% | ||||
| health_condition_detail | 196 | 100% | 196 | |||
| latitude | 196 | 100% | 196 | |||
| location_locality | 196 | 100% | 196 | |||
| location_site | 196 | 100% | 196 | |||
| longitude | 196 | 100% | 196 | |||
| sex | 192 | 98% | 192 |
- A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases. 2021 PMID 34083435 PMC8201803 own_data
- Gut microbiota dysbiosis contributes to the development of hypertension. 2017 PMID 28143587 PMC5286796 own_data
- The Human Gut Virome in Hypertension. 2018 PMID 30619215 PMC6305721 own_data
- Environmental remodeling of human gut microbiota and antibiotic resistome in livestock farms. 2020 PMID 32188862 PMC7080799 own_data
- Alterations of gut microbiota contribute to the progression of unruptured intracranial aneurysms. 2020 PMID 32587239 PMC7316982 own_data
19 more
- Characteristics and variation of fecal bacterial communities and functions in isolated systolic and diastolic hypertensive patients. 2021 PMID 33902467 PMC8077764
- Cigarette smoking status alters dysbiotic gut microbes in hypertensive patients. 2021 PMID 34029428 PMC8678690
- Succession of the Gut Microbiome in the Tibetan Population of Minjiang River Basin. 2022 PMID 35479628 PMC9035803
- The Association between Gut Microbiome and Pregnancy-Induced Hypertension: A Nested Case-Control Study. 2022 PMID 36364844 PMC9657571
- Untargeted metabolomics unravel serum metabolic alterations in smokers with hypertension. 2023 PMID 36935758 PMC10018148
- A cross-sectional study identifying disparities in serum metabolic profiles among hypertensive patients with ISH, IDH and SDH subtypes. 2023 PMID 37215555 PMC10192909
- The human gut archaeome: identification of diverse haloarchaea in Korean subjects. 2020 PMID 32753050 PMC7409454
- Characterizing Enterotypes in Human Metagenomics: A Viral Perspective. 2021 PMID 34659174 PMC8511818
- The Potential of Gut Microbiota Metabolic Capability to Detect Drug Response in Rheumatoid Arthritis Patients. 2022 PMID 35464950 PMC9024311
- Gut virome profiling identifies a widespread bacteriophage family associated with metabolic syndrome. 2022 PMID 35739117 PMC9226167
- Machine learning for data integration in human gut microbiome. 2022 PMID 36419034 PMC9685977
- 2 Hydroxybutyric Acid-Producing Bacteria in Gut Microbiome and Fusobacterium nucleatum Regulates 2 Hydroxybutyric Acid Level In Vivo. 2023 PMID 36984891 PMC10059959
- Metagenomic analyses of 7000 to 5500 years old coprolites excavated from the Torihama shell-mound site in the Japanese archipelago. 2024 PMID 38265980 PMC10807776
- An expanded database and analytical toolkit for identifying bacterial virulence factors and their associations with chronic diseases. 2024 PMID 39278950 PMC11402979
- Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease. 2025 PMID 39810263 PMC11730835
- γBMGC: A Comprehensive and Accurate Database for Screening TMAO-Associated Cardiovascular Diseases. 2025 PMID 40005591 PMC11857547
- Chinese soy-based microbiome and associated microbial risks: a metagenomic investigation. 2025 PMID 40681522 PMC12274573
- Multi-omics integration reveals functional signatures of gut microbiome in atherosclerosis. 2025 PMID 40785047 PMC12341049
- gutMSNP: a comprehensive database for human gut microbial single-nucleotide polymorphisms. 2026 PMID 41359024 PMC12807719
Archive description
Hypertension is one of the most prevalent cardiovascular diseases worldwide. Recent findings have identified a link between gut microbiota and blood pressure, yet the contributions of gut microbes and bacterial metabolites towards hypertension remain largely uncharacterized. We carried out metagenomic and metabonomics analyses, in combination with faecal microbiota transplantation, and elucidate that dysbiosis of gut microbiome triggers the pathogenesis of hypertension through altering the metabolic effects. Notably, we demonstrate similar discrepancy of microbial compositional and functional features in pre-hypertension and hypertension when compared with the controls, highlighting varied intestinal microbiota in prehypertensive populations. The impairment of host metabolism in pre-hypertension and hypertension was identified to be closely linked with dysbiotic gut microbiome. The hypertensive phenotype was transferrable from hypertension patients to germ-free mice by faecal transplant. Overall, our results explicate a novel role for aberrant gut microbiota as key contributor to the pathogenesis of hypertension, and emphasize the significance of early intervention for pre-hypertension.
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 · “a link between gut microbiota and blood”
- body site study.description · “a link between gut microbiota and blood”
- 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 |
|---|---|---|---|---|---|---|
| SAMEA3951606 | antibiotic_exposure | no | R2 | 0.75 | external.cmd source | antibiotics_current_use: No |
| SAMEA3951606 | collection_date | 2015-01-05 | R1 | 0.90 | biosample.attribute:collection_date | 2015-01-05 |
| SAMEA3951606 | country | CN | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | China |
| SAMEA3951606 | health_condition | healthy_control | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA3951606 | health_condition_detail | Healthy | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA3951606 | latitude | 39.9000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 39.9 N 116. 3 E |
| SAMEA3951606 | location_locality | Tangshan | R3 | 0.70 | paper.fulltext.methods | employees of the Kailuan Group Corportion of Tangshan city |
| SAMEA3951606 | location_site | Kailuan Group Corporation | R3 | 0.70 | paper.fulltext.methods | employees of the Kailuan Group Corportion of Tangshan city |
| SAMEA3951606 | longitude | 116.3000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 39.9 N 116. 3 E |
| SAMEA3951606 | sex | female | R1 | 0.70 | sample.name_rule:alias | nHF511704 |
| SAMEA3951606 | subject_id | SAMEA3951606 | R3 | 0.70 | design.one_sample_per_subject:fulltext | we performed deep metagenomic sequencing of stool samples from 196 participants of healthy control, pHTN, |
Sequencing
196 runs over 196 samples · mean 5.60 Gbp per run (median 5.34 Gbp, total 1,098.35 Gbp; 196 runs with a base count) · layout PAIRED 196 · platform ILLUMINA 196 · models Illumina HiSeq 2500 (196) · 92% of runs with a Sandpiper profile · first public 2016-11-16
Authors (36)
Tisza MJ first · Buck CB last · Han M first · Zhang N · Mao Y · Huang B · Ren M · Peng Z · Bai Z · Chen L · Liu Y · Wang S · Huang S · Cheng Z last · Qin F first · Li J · Mao T · Feng S · Lai M last · Yang G first · Tao T · Yu G · Zhang H · Wu Y · Sun S · Guo K · Jia S last · Qian K first · Du M · Tan S · Ding M · Song M · Lu M · Qi C · Cheng L · Zhang X last
Downloads
PRJEB13870.csv.gz (6.0 KB) · parquet (79.4 KB) — all 196 samples, every field with route and confidence · PRJEB13870_determinations.csv.gz (17.6 KB) — 2,151 evidence rows