Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction

Procopio, Anna; Cosentino, Carlo; Rosa, Salvatore De; García, Míriam R.; Covello, C.; Merola, Alessio; Sabatino, Jolanda; Luca, Alessia De; Indolfi, Ciro; Amato, Francesco

doi:10.1109/tcst.2018.2849068

Cited by 11 publications

(4 citation statements)

References 32 publications

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“…Mathematical modeling applied to drug delivery and its release represents a new and promising scientific field, from which medicine [144,145], the pharmaceutical industry, and research [146], can greatly benefit. Taking advantage of the vast knowledge on well-known physical processes, such as diffusion, degradation, a model appropriately designed and correctly defined from a mathematical point of view can, in short time and with relatively low costs, bring improvements in the design of new [143] therapeutic plans that optimize the administered dose, improving the results of the treatment.…”

Section: In Silico Modelsmentioning

confidence: 99%

Recent Fabrication Methods to Produce Polymer-Based Drug Delivery Matrices (Experimental and In Silico Approaches)

et al. 2022

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The study of novel drug delivery systems represents one of the frontiers of the biomedical research area. Multi-disciplinary scientific approaches combining traditional or engineered technologies are used to provide major advances in improving drug bioavailability, rate of release, cell/tissue specificity and therapeutic index. Biodegradable and bio-absorbable polymers are usually the building blocks of these systems, and their copolymers are employed to create delivery components. For example, poly (lactic acid) or poly (glycolic acid) are often used as bricks for the production drug-based delivery systems as polymeric microparticles (MPs) or micron-scale needles. To avoid time-consuming empirical approaches for the optimization of these formulations, in silico-supported models have been developed. These methods can predict and tune the release of different drugs starting from designed combinations. Starting from these considerations, this review has the aim of investigating recent approaches to the production of polymeric carriers and the combination of in silico and experimental methods as promising platforms in the biomedical field.

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Section: In Silico Modelsmentioning

confidence: 99%

Recent Fabrication Methods to Produce Polymer-Based Drug Delivery Matrices (Experimental and In Silico Approaches)

et al. 2022

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“…Based on the abovementioned dynamics of an AMI, a three-compartmental model composed of three ordinary differential equations describing the variation in the concentration of the cardiac troponin T, cTnT, in sarcomere (C s ), cytosol (C c ), and plasma (C p ), was defined, [29][30][31], as follows:…”

Section: Nonlinear Model Of Cardiac Troponin T (Ctnt) Release In Ami ...mentioning

confidence: 99%

Analysis of a Cardiac-Necrosis-Biomarker Release in Patients with Acute Myocardial Infarction via Nonlinear Mixed-Effects Models

et al. 2022

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The release of the cardiac troponin T (cTnT) in patients with acute myocardial infarction (AMI) has been analyzed through a methodology based on nonlinear mixed-effects (NME) models. The aim of this work concerns the investigation of any possible relationship between clinical covariates and the dynamics of the release of cTnT to derive more detailed and useful clinical information for the correct treatment of these patients. An ad-hoc mechanistic model describing the biomarker release process after AMI has been devised, assessed, and exploited to evaluate the impact of the available clinical covariates on the cTnT release dynamic. The following approach was tested on a preliminary dataset composed of a small number of potential clinical covariates: employing an unsupervised approach, and despite the limited sample size, dyslipidemia, a known risk factor for cardiovascular disease, was found to be a statistically significant covariate. By increasing the number of covariates considered in the model, and patient cohort, we envisage that this approach may provide an effective means to automatically classify AMI patients and to investigate the role of interactions between clinical covariates and cTnT release.

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“…Finally, examples at the macro-scale level are the control systems for the regulation of cardiovascular processes, neuromuscular activities, respiration dynamics, etc. [7,[24][25][26][27][28][29][30][31]. This category of systems incorporates a negative feedback control scheme, within a closed-loop configuration, which permits the values of the physiological parameters to be kept near to the equilibrium itself in order to preserve the homeostatic equilibrium [7,32].…”

Section: Introductionmentioning

confidence: 99%

A General Approach for the Modelling of Negative Feedback Physiological Control Systems

et al. 2023

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Mathematical models can improve the understanding of physiological systems behaviour, which is a fundamental topic in the bioengineering field. Having a reliable model enables researchers to carry out in silico experiments, which require less time and resources compared to their in vivo and in vitro counterparts. This work’s objective is to capture the characteristics that a nonlinear dynamical mathematical model should exhibit, in order to describe physiological control systems at different scales. The similarities among various negative feedback physiological systems have been investigated and a unique general framework to describe them has been proposed. Within such a framework, both the existence and stability of equilibrium points are investigated. The model here introduced is based on a closed-loop topology, on which the homeostatic process is based. Finally, to validate the model, three paradigmatic examples of physiological control systems are illustrated and discussed: the ultrasensitivity mechanism for achieving homeostasis in biomolecular circuits, the blood glucose regulation, and the neuromuscular reflex arc (also referred to as muscle stretch reflex). The results show that, by a suitable choice of the modelling functions, the dynamic evolution of the systems under study can be described through the proposed general nonlinear model. Furthermore, the analysis of the equilibrium points and dynamics of the above-mentioned systems are consistent with the literature.

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Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction

Cited by 11 publications

References 32 publications

Recent Fabrication Methods to Produce Polymer-Based Drug Delivery Matrices (Experimental and In Silico Approaches)

Recent Fabrication Methods to Produce Polymer-Based Drug Delivery Matrices (Experimental and In Silico Approaches)

Analysis of a Cardiac-Necrosis-Biomarker Release in Patients with Acute Myocardial Infarction via Nonlinear Mixed-Effects Models

A General Approach for the Modelling of Negative Feedback Physiological Control Systems

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