Eric Gamazon Archive — Page 1 of 2

Stylized 3D anatomical illustration of a human upper body showing the glowing heart, major blood vessels, and an extensive network of branching vessels against a black background.
May 11, 2026

Multi-organ metabolite ‘signature’ signals increased heart failure risk

A multi-institutional group has identified a “signature” of metabolic molecules associated with exercise-induced physiologic deficits that, when released into the bloodstream, signal heightened heart failure risk.

Futuristic medical illustration showing a tablet with glowing DNA strands, three medicine vials, a syringe, a human figure, a DNA icon, and a magnifying glass on a digital blue interface.
July 15, 2025

Multidisciplinary study develops tools for new ‘genomics of interorgan communication’

The research characterizes the molecular “cargo” of circulating extracellular vesicles in obesity and links the findings to human genetic approaches to identify potential therapeutic targets for metabolic disease.

Conceptual illustration of a human silhouette composed of colorful molecular structures, surrounded by DNA double helices, chemical formulas, and magnified molecular diagrams on a dark blue background.
July 8, 2024

GeneMAP discovery platform will help define functions for ‘orphan’ metabolic proteins 

The combination of genomics and metabolism identified a long-sought mitochondrial choline transporter.

Gloved hand holding a magnifying glass over dense DNA sequence text, highlighting the words “Cancer” and “Cancer Gene” in colored letters.
July 20, 2023

Predicting gene expression may speed discovery: study

Researchers at Vanderbilt University Medical Center and the University of Cambridge have developed a method of or predicting gene expression in hard-to-access tissues like the brain from more accessible tissues, including whole blood.

Stylized blue profile of a human face formed from a wireframe grid, merging with glowing circuit-board traces and digital data patterns.
May 9, 2023

Neural networks probe proteins

A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.

Illustration of intertwined DNA double helices against a glowing blue and purple background.
October 21, 2021

Study links genetic variants, protein expression and human diseases

An international research team has developed a new resource that connects genetic variants and protein expression, which is expected to speed the identification of genes that cause disease — and point to novel treatment strategies.