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1.
Eur J Pharmacol ; 983: 177008, 2024 Sep 18.
Artículo en Inglés | MEDLINE | ID: mdl-39304109

RESUMEN

Hypertension is the key leading risk factor for death globally, affecting ∼1.3 billion adults, particularly in low- and middle-income countries. Most people living with hypertension have uncontrolled high blood pressure, increasing their likelihood of cardiovascular events. Significant issues preventing blood pressure control include lack of diagnosis, treatment, and response to existing therapy. For example, monotherapy and combination therapy are often unable to lower blood pressure to target levels. New therapies are urgently required to tackle this issue, particularly those that target the mechanisms behind hypertension instead of treating its symptoms. Acting via an increase in systemic and tissue-specific inflammation, the immune system is a critical contributor to blood pressure regulation and is considered an early mechanism leading to hypertension development. Here, we review the immune system's role in hypertension, evaluate clinical trials that target inflammation, and discuss knowledge gaps in pre-clinical and clinical data. We examine the effects of anti-inflammatory drugs colchicine and methotrexate on hypertension and evaluate the blockade of pro-inflammatory cytokines IL-1ß and TNF-α on blood pressure in clinical trials. Lastly, we highlight how we can move forward to target specific components of the immune system to lower blood pressure. This includes targeting isolevuglandins, which accumulate in dendritic cells to promote T cell activation and cytokine production in salt-induced hypertension. We discuss the potential of the dietary fibre-derived metabolites short-chain fatty acids, which have anti-inflammatory and blood pressure-lowering effects via the gut microbiome. This would limit adverse events, leading to improved medication adherence and better blood pressure control.

2.
Cardiovasc Res ; 120(10): 1155-1163, 2024 Sep 02.
Artículo en Inglés | MEDLINE | ID: mdl-38518247

RESUMEN

AIMS: Animal models are regularly used to test the role of the gut microbiome in hypertension. Small-scale pre-clinical studies have investigated changes to the gut microbiome in the angiotensin II hypertensive model. However, the gut microbiome is influenced by internal and external experimental factors, which are not regularly considered in the study design. Once these factors are accounted for, it is unclear if microbiome signatures are reproduceable. We aimed to determine the influence of angiotensin II treatment on the gut microbiome using a large and diverse cohort of mice and to quantify the magnitude by which other factors contribute to microbiome variations. METHODS AND RESULTS: We conducted a retrospective study to establish a diverse mouse cohort resembling large human studies. We sequenced the V4 region of the 16S rRNA gene from 538 samples across the gastrointestinal tract of 303 male and female C57BL/6J mice randomized into sham or angiotensin II treatment from different genotypes, diets, animal facilities, and age groups. Analysing over 17 million sequencing reads, we observed that angiotensin II treatment influenced α-diversity (P = 0.0137) and ß-diversity (i.e. composition of the microbiome, P < 0.001). Bacterial abundance analysis revealed patterns consistent with a reduction in short-chain fatty acid producers, microbial metabolites that lower blood pressure. Furthermore, animal facility, genotype, diet, age, sex, intestinal sampling site, and sequencing batch had significant effects on both α- and ß-diversity (all P < 0.001). Sampling site (6.8%) and diet (6%) had the largest impact on the microbiome, while angiotensin II and sex had the smallest effect (each 0.4%). CONCLUSION: Our large-scale data confirmed findings from small-scale studies that angiotensin II impacted the gut microbiome. However, this effect was modest relative to most of the other factors studied. Accounting for these factors in future pre-clinical hypertensive studies will increase the likelihood that microbiome findings are replicable and translatable.


Asunto(s)
Angiotensina II , Bacterias , Modelos Animales de Enfermedad , Microbioma Gastrointestinal , Animales , Femenino , Masculino , Angiotensina II/farmacología , Bacterias/genética , Bacterias/efectos de los fármacos , Bacterias/metabolismo , Bacterias/crecimiento & desarrollo , Bacterias/clasificación , Disbiosis , Microbioma Gastrointestinal/efectos de los fármacos , Hipertensión/microbiología , Hipertensión/fisiopatología , Hipertensión/tratamiento farmacológico , Hipertensión/metabolismo , Intestinos/microbiología , Intestinos/efectos de los fármacos , Ratones Endogámicos C57BL , Estudios Retrospectivos , Ribotipificación , ARN Ribosómico 16S/genética
3.
J Hum Hypertens ; 35(2): 162-169, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-32733062

RESUMEN

Advances in sequencing technology have increased our understanding of the composition of the gut microbiota and their contribution to health and disease states, including in cardiovascular diseases such as hypertension. The gut microbiota is heavily influenced by diet and produce metabolites such as short-chain fatty acids (SCFAs) and trimethylamine-N-oxide (TMAO) from various food sources. SCFAs, such as acetate, propionate, and butyrate, have been shown to have blood pressure, cardiac hypertrophy, and fibrosis lowering properties, while TMAO has been associated with increased risk of major cardiovascular adverse events and mortality. Some of these metabolites have known ligands (for example, SCFA receptors such as GPR41, GPR43, GPR109a, and Olf78 in mice/OR51E2 in humans) which could potentially be manipulated as therapeutic targets for hypertension. In this review, we discuss several types of diet-related gut microbial metabolites and their sensing mechanisms that are relevant for hypertension, and the future directions for the field.


Asunto(s)
Microbioma Gastrointestinal , Hipertensión , Receptores Odorantes , Animales , Presión Sanguínea , Dieta , Ácidos Grasos Volátiles , Humanos , Hipertensión/etiología , Ratones , Proteínas de Neoplasias
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