ReviewJCI insight2026
From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.
Review in JCI insight, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is a major contributor to cardiovascular disease and mortality in older adults. Yet most preclinical and experimental cardiac studies fail to account for age as a primary biological variable, leaving a critical gap in our understanding of how aging contributes to disease progression. Bridging this gap requires integrating aging biology, cardiac pathophysiology, and cutting-edge biotechnology to uncover the mechanisms underlying age-related cardiac dysfunction. We offer a new approach methodologies (NAMs) perspective on how emerging bioengineering strategies may reshape the study of cardiac aging by enabling multidimensional monitoring of cardiac function, aging trajectories, and therapeutic responses. To capture this complexity, we propose the A×G×E×D framework, where A stands for age, G for genetics, E for environment, and D for drug exposure, as a multidimensional lens for understanding how these factors converge to determine cardiac vulnerability during aging. We highlight the integration of long-term cardiac microtissues with advancements in biotechnology to model age. This Perspective opens new frontiers for understanding how A×G×E×D interactions manifest at the molecular, cellular, and electrophysiological levels and for designing responsive, personalized interventions that align with each individual's evolving physiology. By developing robust bioengineered platforms that recapitulate human cardiac aging, we can advance toward precision geromedicine for cardiovascular health.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.