Modulation of Blood Pressure through Microbiome Exchange between Milan Normotensive and Hypertensive Rat Strains
Bibliographic record
Abstract
Background: Hypertension constitutes a major health problem leading to cardiovascular diseases. A number of studies showed gut microbiome changes in hypertension, suggesting kidney-gut axis in hypertension. A congenic strain of Milan hypertensive (NA) rats with a mutation in α-adducin gene develops hypertension at 3 months age. Our preliminary study revealed diverse expression of renal sodium transporters in NA rats compared with normotensive strain (MN) rats, indicating abnormal renal salt handling in NA rats. Present study aimed at investigating a possible connection between gut microbiome and blood pressure phenotype in these two strains. We evaluated whether exchange of faeces between two strains may transfer phenotypes via gut microbiome, and mechanisms underlying altered phenotypes were investigated. Methods: NA and MN rats were subjected to ‘homogenization (HOM)’ of the microbiome, consisted of exchanges of bedding with faeces, followed by co-housing in the same cage (MN-HOM and NA-HOM groups). For the baseline (BSL) condition, rats were homogenized within the same strain (MN-BSL and NA-BSL). Systolic blood pressure (SBP) was measured every month. Faeces were collected for microbiota metataxonomic analysis using next generation sequencing of 16S ribosome encoding DNA. Results: At 5 month, SBP in MN-BSL was averaged at 143.6 mmHg, while SBP of NA-BSL was 163.3 mmHg, confirming the hypertensive phenotype in NA rats at baseline. MN-HOM showed a significantly enhanced SBP compared to MN-BSL, reaching 153.5 mmHg. The average SBP of NA-HOM was163.7 mmHg, indicating that homogenization did not have impact on SBP in NA rats. The SBP of MN-HOM was still significantly lower than both the NA-BSL and NA-HOM groups. Different gut microbiota compositions were observed in the two strains of rats at baseline, and HOM altered both. Conclusion: We have demonstrated that the hypertensive phenotype in NA rats was transferred to MN rats through homogenization, indicating that the intestinal microbiota or metabolites derived therefrom could eventually modulate SBP. Further studies are required to unveil the molecular mechanisms by which the gut microbiome modulates blood pressure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".