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From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging
A multidimensional framework for cardiac aging: the A×G×E×D model Cardiac aging arises through the interplay of multiple biological axes that determine cardiac vulnerability and resilience. We define this as the A×G×E×D framework, reflecting the convergence of four axes: age (A), genetics (G), environment (E), and drug (D) exposure (Figure 1). Figure 1 Integrating age, genetics, environment, and drug exposure through new approach methodologies to model cardiac pathophysiology and heterogeneity.
Wound state monitoring by multiplexed, electrochemical, real-time, localized, inflammation-tracking nitric oxide sensor (MERLIN)
Abstract Nitric oxide (NO) released endogenously by induced nitric oxide synthase (iNOS) in macrophages is a key regulatory biomarker for wound inflammation. Detecting NO directly on the wound bed is challenging due to its short half-life time (6 – 50 s), low physiological concentration (nM – μM) and interferences in the complex wound environment. Existing NO sensors suffer from limitations such as rigid substrates, single point of detection and complex measurement setup.
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