Gut microbiome in hypertension vs normotensive controls, Spain
Case-control study of 61 fecal samples from Spain comparing non-treated hypertensive and normotensive adults, analyzing gut microbiota composition, bacterial function, and microbial metabolites (SCFA, TMAO). machine-written summary
61 samples · 61 runs · ES · Age unknown · 2020 · 0.29 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 305 sample values (collection date, country, latitude, location region, longitude) |
| ✓ Abstract / description | 61 sample values (health condition detail) |
| ✓ Full text | 183 sample values (location locality, location site, subject id) · PMC7160119, PMC8231825 |
| ○ 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 · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 61 | 100% | 61 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 61 | 100% | 61 | |||
| collection_date | 61 | 100% | 61 | |||
| detailed_location | 61 | 100% | ||||
| health_condition_detail | 61 | 100% | 61 | |||
| latitude | 61 | 100% | 61 | |||
| location_locality | 61 | 100% | 61 | |||
| location_region | 61 | 100% | 61 | |||
| location_site | 61 | 100% | 61 | |||
| longitude | 61 | 100% | 61 |
- Gut metagenomic and short chain fatty acids signature in hypertension: a cross-sectional study. 2020 PMID 32296109 PMC7160119 own_data
- Gut Microbiota Profile and Its Association with Clinical Variables and Dietary Intake in Overweight/Obese and Lean Subjects: A Cross-Sectional Study. 2021 PMID 34199239 PMC8231825 own_data
Archive description
Background: The potential role of gut microbiome in metabolic diseases has been revealed, especially in cardiovascular diseases. Hypertension is one of the most prevalent cardiovascular diseases worldwide, yet whether gut microbiota participates in the development of hypertension remains largely unknown. To investigate this issue, we carried out comprehensive gut microbiota analysis and targeted metabolomics in a cohort of 29 non-treated hypertensive (HT) subjects and 32 normotensive (NT) controls. We assessed fecal microbiota composition by 16S rRNA gene sequencing and bacterial functions by metagenomic analysis. The microbial metabolites analysed were short chain fatty acids (SCFA) both in plasma and feces, and trimethylamine N-oxide (TMAO) in plasma.Results: The overall bacterial composition and the richness and diversity of bacterial community in the two groups were not significantly different. When the relative abundance of bacteria at OTU level was tested, Ruminococcaceae NK4A214, Ruminococcaceae_UCG-010, Christensenellaceae_R-7, Faecalibacterium prausnitzii and Roseburia hominis were found to be significantly enriched in NT group, whereas, Bacteroides coprocola Intestimonas and genera of Lachnospiraceae were increased in HT patients. We found a positive correlation between the HT-associated species and systolic blood pressure and diastolic blood pressure after adjusted for measured confounders. SCFA showed antagonistic results in plasma and feces, detecting in HT subjects significant higher levels in feces and lower levels in plasma compared to NT group. TMAO did not show significant differences between groups.Conclusions: Overall, our results present a disease classifier based on microbiota and bacterial metabolites to discriminate hypertensive individuals from NT controls in a first disease stage prior to drug treatment. HT subjects showed a particular SCFA profile in feces and plasma that could indicate a less efficient SCFA absorption in HT subjects.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.45. Assay shotgun_dna.
- host study.description · “29 non-treated hypertensive (HT) subjects”
- host run.scientific_name · “human gut metagenome”
- body site study.description · “fecal microbiota composition”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA5605024 | collection_date | 2016 | R1 | 0.90 | biosample.attribute:collection_date | 2016 |
| SAMEA5605024 | country | ES | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Spain |
| SAMEA5605024 | health_condition_detail | mixed_case_control: 29 non-treated hypertensive subjects vs 32 normotensive controls | R4 | 0.50 | study.description | 29 non-treated hypertensive (HT) subjects and 32 normotensive (NT) controls |
| SAMEA5605024 | latitude | 41.1561 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 41.1561203 1.1068701 |
| SAMEA5605024 | location_locality | Reus | R3 | 0.70 | paper.fulltext.methods | Participants were recruited in Reus (Spain) |
| SAMEA5605024 | location_region | Catalonia | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 41.1561203 1.1068701 |
| SAMEA5605024 | location_site | Hospital Universitari Sant Joan (HUSJ) | R3 | 0.70 | paper.fulltext.methods | advertisements in the Hospital Universitari Sant Joan (HUSJ) |
| SAMEA5605024 | longitude | 1.1069 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 41.1561203 1.1068701 |
| SAMEA5605024 | subject_id | SAMEA5605024 | R3 | 0.75 | design.one_sample_per_subject:fulltext | a cross-sectional study of 29 non-treated hypertensive (HT) and 32 normotensive (NT) subjects |
Sequencing
61 runs over 61 samples · mean 0.27 Gbp per run (median 0.29 Gbp, total 16.74 Gbp; 61 runs with a base count) · layout PAIRED 61 · platform ILLUMINA 61 · models Illumina MiSeq (61) · 0% of runs with a Sandpiper profile · first public 2020-07-02
Authors (18)
Calderón-Pérez L first · Gosalbes MJ · Yuste S · Valls RM · Pedret A · Llauradó E · Jimenez-Hernandez N · Artacho A · Pla-Pagà L · Companys J · Ludwig I · Romero MP · Rubió L · Solà R last · Jiménez-Hernández N · Sandoval-Ramirez BA · Del Bas JM · Caimari A
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata
Downloads
PRJEB32411.csv.gz (2.6 KB) · parquet (73.0 KB) — all 61 samples, every field with route and confidence · PRJEB32411_determinations.csv.gz (4.0 KB) — 549 evidence rows