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From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.

From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.

期刊: JCI insight 日期: 2026-08-10 PMID: 42579795 DOI: 10.1172/jci.insight.203447 浏览: 11
作者: Chaddha K, Bartlett M, Cohen-Karni T, Gurkar A
K, C., M, B., T, C.K., & A, G. (2026). From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.. JCI insight. https://doi.org/10.1172/jci.insight.203447
K C, M B, T CK, A G. From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.. JCI insight. 2026; doi: 10.1172/jci.insight.203447
K C, M B, T CK, et al. From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.[J]. JCI insight. 2026. DOI: 10.1172/jci.insight.203447.
@article{k2026,
  author = {Chaddha K and Bartlett M and Cohen-Karni T and Gurkar A},
  title = {From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.},
  journal = {JCI insight},
  year = {2026},
  doi = {10.1172/jci.insight.203447},
  note = {PMID: 42579795},
}
TY  - JOUR
AU  - Chaddha K
AU  - Bartlett M
AU  - Cohen-Karni T
AU  - Gurkar A
TI  - From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.
T2  - JCI insight
PY  - 2026
DO  - 10.1172/jci.insight.203447
AN  - PMID:42579795
ER  - 

摘要

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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