PubMed Health⌕ Search

PubMed · 15351948

[Familial hyperaldosteronism].

Abstract

Primary aldosteronism is a disorder characterized by hypertension and hypokalemia due to aldosterone secretion out of renin-angiotensin control. It is generally caused by aldosterone-producing adenoma or adrenocortical hyperplasia but, in some cases, it is due to genetic alterations. Familial type I hyperaldosteronism is the result of anomalous regulation of aldosterone secretion from ACTH (which normally regulates cortisol synthesis). Aldosterone hypersecretion can be suppressed by exogenous glucocortcoids such as dexamethasone. This autosomal dominant disorder is caused by unequal cross-over between two genes with wide sequence homology: CYP11B1 and CYP11B2. The hybrid gene is the product of fusion between the ACTH-responsive regulatory portion of the 11b-hydroxylase gene (CYP11B1) and the coding region of the aldosterone synthase gene (CYP11B2). Familial type I hyperaldosteronism is a disease with incomplete penetration and variable expressivity, especially in relation to hypertension. The marked variability in hypertension severity can mirror an interaction between the hybrid gene and other hereditary factors involved in the regulation of blood pressure. Familial type II hyperaldosteronism is another autosomal dominant form of hyperaldosteronism due to aldosterone hyper-secretion not suppressible by dexamethasone. This disorder is unrelated to mutation of the hybrid gene. The genetic cause of type II hyperaldosteronism is presently unknown, but a genome-wide search has revealed that the disorder is linked with a locus on chromosome 7 in a region that corresponds to cytogenetic band 7p22.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

B Spoto, G Furlò, A Gervasi, G Bresolin, C Zoccali. [Familial hyperaldosteronism].. https://pubmed.ncbi.nlm.nih.gov/15351948/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗