PubMed Health⌕ Search

PubMed · 8898782

NHLBI workshop panel discussion: a scientific perspective.

Abstract

THE WORKSHOP ON THE EPIDEMIOLOGY OF HYPERTENSION in Hispanic Americans, Native Americans, and Asian/Pacific Islander Americans concluded with a panel discussion of the findings from a scientific perspective. Panel members presented their ideas for research direction on measuring and identifying more accurately the frequency, distribution, and determinants of hypertension in minority populations, evaluating mechanisms leading to hypertension, and identifying the implications for public health and medical practice. Several members stressed the need for additional data collections, using standardized methods. They stated that future studies, including longitudinal ones, should target specific ethnic populations and subpopulations and address the role of acculturation, assimilation, modernization, and socio-economic status. They also recommended comparative and collaborative studies among groups. They emphasized the importance of obesity and diabetes or impaired glucose tolerance as determinants of hypertension in all three populations, and suggested that there may be differences in the etiology and pathophysiology of hypertension among the groups, with visceral adiposity or insulin resistance syndrome being more important in Asian populations. The potential for identification of genes involved in blood pressure variation and hypertension risk may help understand the interaction of genes with the environment. Minority groups in the United States share the problem of high prevalence of high blood pressure and low rates of control. For this reason, the panel urged a new era of community-based, culturally sensitive prevention and control projects.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J B Keller. 1996. NHLBI workshop panel discussion: a scientific perspective.. https://pubmed.ncbi.nlm.nih.gov/8898782/

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↗