Modeling of Human Baroreflex: Considerations on the Seidel–herzel Model

Duggento, Andrea; Toschi, Nicola; Guerrisi, Maria

doi:10.1142/s0219477512400172

Cited by 9 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such biomarkers need to be able to chart the spatio-temporal trajectories of complex brain pathophysiological mechanisms, at the same time taking into account interindividual variables. Complex, time varying higher order statistics as well as structural model should also be considered within the systems neurophysiology modeling approach [601–604]. Pathophysiological biomarkers are required to track the pathophysiological mechanisms underlying ND (Figure 8).…”

Section: Discussionmentioning

confidence: 99%

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Hampel

Toschi

Babiloni

et al. 2018

JAD

Self Cite

126

113

View full text Add to dashboard Cite

The Precision Neurology development process implements systems theory with system biology and neurophysiology in a parallel, bidirectional research path: a combined hypothesis-driven investigation of systems dysfunction within distinct molecular, cellular and large-scale neural network systems in both animal models as well as through tests for the usefulness of these candidate dynamic systems biomarkers in different diseases and subgroups at different stages of pathophysiological progression. This translational research path is paralleled by an “omics”-based, hypothesis-free, exploratory research pathway, which will collect multimodal data from progressing asymptomatic, preclinical and clinical neurodegenerative disease (ND) populations, within the wide continuous biological and clinical spectrum of ND, applying high-throughput and high-content technologies combined with powerful computational and statistical modeling tools, aimed at identifying novel dysfunctional systems and predictive marker signatures associated with ND. The goals are to identify common biological denominators or differentiating classifiers across the continuum of ND during detectable stages of pathophysiological progression, characterize systems-based intermediate endophenotypes, validate multi-modal novel diagnostic systems biomarkers, and advance clinical intervention trial designs by utilizing systems-based intermediate endophenotypes and candidate surrogate markers. Achieving these goals is key to the ultimate development of early and effective individualized treatment of ND, such as Alzheimer’s disease (AD). The Alzheimer Precision Medicine Initiative (APMI) and cohort program (APMI-CP), as well as the Paris based core of the Sorbonne University Clinical Research Group “Alzheimer Precision Medicine” (GRC-APM) were recently launched to facilitate the passageway from conventional clinical diagnostic and drug development towards breakthrough innovation based on the investigation of the comprehensive biological nature of aging individuals. The APMI movement is gaining momentum to systematically apply both systems neurophysiology and systems biology in exploratory translational neuroscience research on ND.

show abstract

Section: Discussionmentioning

confidence: 99%

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Hampel

Toschi

Babiloni

et al. 2018

JAD

Self Cite

126

113

View full text Add to dashboard Cite

show abstract

“…It is not representative of lower-level metabolism and cell signaling models, which are currently the most common type of models encountered in systems biology, but it is well suited to showcase what is needed for future multi-scale models, which inevitably have to leave these well-explored levels behind to generate new insights. In fact, the model can already be considered to span multiple scales of time since it includes effects at the sub-second level as well as on the level of multiple minutes 80 .…”

Section: Resultsmentioning

confidence: 99%

Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective

et al. 2021

View full text Add to dashboard Cite

Reuse of mathematical models becomes increasingly important in systems biology as research moves toward large, multi-scale models composed of heterogeneous subcomponents. Currently, many models are not easily reusable due to inflexible or confusing code, inappropriate languages, or insufficient documentation. Best practice suggestions rarely cover such low-level design aspects. This gap could be filled by software engineering, which addresses those same issues for software reuse. We show that languages can facilitate reusability by being modular, human-readable, hybrid (i.e., supporting multiple formalisms), open, declarative, and by supporting the graphical representation of models. Modelers should not only use such a language, but be aware of the features that make it desirable and know how to apply them effectively. For this reason, we compare existing suitable languages in detail and demonstrate their benefits for a modular model of the human cardiac conduction system written in Modelica.

show abstract

“…We need to investigate the benefits of Modelica more closely in regard to the needs of systems biologists. A first step could be to reparameterize the SHM as suggested by Duggento et al (2012) and to incorporate additional components that can simulate vagal stimulation and different disease conditions (which is possible but cumbersome with the C implementation). We also plan to extend the SHM to a multi-scale model, for example by exchanging the heart model with a more detailed representation modeling individual heart cells.…”

Section: Resultsmentioning

confidence: 99%

“…The observed dynamical properties were in good agreement with patients with baroreceptor hypersensitivity and animal experiments. However, results by Duggento et al (2012) show that these bifurcations can actually be triggered by most parameters of the model. They suggest that the model should be reparameterized to make all modeled variables physiologically plausible, and assume that this could lead to a "'unifying theory to account for slow oscillation' in cardiovascular variability".…”

Section: Physiological Relevancementioning

confidence: 97%

Modeling Biology in Modelica: The Human Baroreflex

Schölzel

Goesmann

Ernst

et al. 2015

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

Systems biology is a field that requires complex multiscale models of systems that are evolved rather than engineered. No unifying theory exists for biology as it does for engineering domains. Thus, models appear in very diverse forms. Components can be genes, cells, organs or even whole ecosystems. These components can intuitively be represented as classes in an object-oriented language, making systems biology a perfect application for Modelica. However, we still only see very few models from this domain. In an attempt to change this, we show that Modelica can exactly reproduce the simulation results of a reference implementation of an established biological model of the human baroreflex. Our implementation highlights the strengths of Modelica like the event finding mechanism, which makes the model more precise. We also show that biological systems pose interesting challenges like signals with non-uniform delays and the interaction of complex rhythms.

show abstract

Modeling of Human Baroreflex: Considerations on the Seidel–herzel Model

Cited by 9 publications

References 12 publications

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective

Modeling Biology in Modelica: The Human Baroreflex

Contact Info

Product

Resources

About