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1.
Sci Rep ; 14(1): 13209, 2024 06 08.
Artigo em Inglês | MEDLINE | ID: mdl-38851835

RESUMO

Hypertension remains a leading cause of cardiovascular and kidney diseases. Failure to control blood pressure with ≥ 3 medications or control requiring ≥ 4 medications is classified as resistant hypertension (rHTN) and new therapies are needed to reduce the resulting increased risk of morbidity and mortality. Here, we report genetic evidence that relaxin family peptide receptor 2 (RXFP2) is associated with rHTN in men, but not in women. This study shows that adrenal gland gene expression of RXFP2 is increased in men with hypertension and the RXFP2 natural ligand, INSL3, increases adrenal steroidogenesis and corticosteroid secretion in human adrenal cells. To address the hypothesis that RXFP2 activation is an important mechanism in rHTN, we discovered and characterized small molecule and monoclonal antibody (mAb) blockers of RXFP2. The novel chemical entities and mAbs show potent, selective inhibition of RXFP2 and reduce aldosterone and cortisol synthesis and release. The RXFP2 mAbs have suitable rat pharmacokinetic profiles to evaluate the role of RXFP2 in the development and maintenance of rHTN. Overall, we identified RXFP2 activity as a potential new mechanism in rHTN and discovered RXFP2 antagonists for the future interrogation of RXFP2 in cardiovascular and renal diseases.


Assuntos
Hipertensão , Receptores Acoplados a Proteínas G , Receptores de Peptídeos , Humanos , Masculino , Hipertensão/tratamento farmacológico , Hipertensão/genética , Receptores Acoplados a Proteínas G/antagonistas & inibidores , Receptores Acoplados a Proteínas G/genética , Receptores Acoplados a Proteínas G/metabolismo , Animais , Receptores de Peptídeos/genética , Receptores de Peptídeos/metabolismo , Receptores de Peptídeos/antagonistas & inibidores , Ratos , Feminino , Anticorpos Monoclonais/farmacologia , Anticorpos Monoclonais/uso terapêutico , Glândulas Suprarrenais/metabolismo , Glândulas Suprarrenais/efeitos dos fármacos , Resistência a Medicamentos/genética , Anti-Hipertensivos/farmacologia , Aldosterona/metabolismo
2.
Clin Pharmacol Ther ; 111(1): 63-76, 2022 01.
Artigo em Inglês | MEDLINE | ID: mdl-34818443

RESUMO

Even modest improvements in the probability of success of selecting drug targets which are ultimately approved can substantially reduce the costs of research and development. Drug targets with human genetic evidence of disease association are twice as likely to lead to approved drugs. A key enabler of identifying and validating these genetically validated targets is access to association results from genome-wide genotyping, whole-exome sequencing, and whole-genome sequencing studies with observable traits (often diseases) across large numbers of individuals. Today, linkage between genotype and real-world data (RWD) provides significant opportunities to not only increase the statistical power of genome-wide association studies by ascertaining additional cases for diseases of interest, but also to improve diversity and coverage of association studies across the disease phenome. As RWD-genetics linked resources continue to grow in diversity of participants, breadth of data captured, length of observation, and number of participants, there is a greater need to leverage the experience of RWD experts, clinicians, and highly experienced geneticists together to understand which lessons and frameworks from general research using RWD sources are relevant to improve genetics-driven drug discovery and development. This paper describes new challenges and opportunities for phenotypes enabled by diverse RWD sources, considerations in the use of RWD phenotypes for disease gene identification across the disease phenome, and challenges and opportunities in leveraging RWD phenotypes in target validation. The paper concludes with views on the future directions for phenotype development using RWD, and key questions requiring further research and development to advance this nascent field.


Assuntos
Coleta de Dados/métodos , Bases de Dados Genéticas , Desenvolvimento de Medicamentos/métodos , Estudo de Associação Genômica Ampla , Humanos , Fenótipo
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