A short-term dynamical model for ghrelin

Pires, Jorge Guerra; Borri, Alessandro; Gaetano, Andrea De; Manes, Costanzo; Palumbo, Pasquale

doi:10.1016/j.ifacol.2017.08.2480

Cited by 7 publications

(13 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Doing so would allow us to disambiguate between the effects due to stomach fullness (e.g., ghrelin release or mechanoreception) and effects due to the small or large intestine. Examples of suitable physiological models are reviewed in [63], and more continue to emerge, such as a recently developed model for ghrelin dynamics [64]. To accurately parametrise such models would require larger-scale data collection but could potentially yield new insights into the ways in which feeding behaviour is controlled.…”

Section: Discussionmentioning

confidence: 99%

The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents

et al. 2019

View full text Add to dashboard Cite

Better understanding of feeding behaviour will be vital in reducing obesity and metabolic syndrome, but we lack a standard model that captures the complexity of feeding behaviour. We construct an accurate stochastic model of rodent feeding at the bout level in order to perform quantitative behavioural analysis. Analysing the different effects on feeding behaviour of peptide YY3-36 (PYY3-36), lithium chloride, glucagon-like peptide 1 (GLP-1), and leptin shows the precise behavioural changes caused by each anorectic agent. Our analysis demonstrates that the changes in feeding behaviour evoked by the anorectic agents investigated do not mimic the behaviour of well-fed animals and that the intermeal interval is influenced by fullness. We show how robust homeostatic control of feeding thwarts attempts to reduce food intake and how this might be overcome. In silico experiments suggest that introducing a minimum intermeal interval or modulating upper gut emptying can be as effective as anorectic drug administration.

show abstract

Section: Discussionmentioning

confidence: 99%

The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents

et al. 2019

View full text Add to dashboard Cite

show abstract

“…On this section, we shall present and discuss on a ghrelin model/dynamics based on insights already discussed somewhere else by the same authors [1][2][3][4], with gastric emptying rate feedback (the gastric emptying rate was added to the model in an attempt to respond to some literatures (e.g., [16]) pinning down this imperative physiological detail); then, we shift to parameter estimation (which is an independent section).…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…How the human body accomplishes bodyweight and food intake control precisely is still an ongoing research (the details of the physiological process), notwithstanding it has been done substantial progress in the last decades by unveiling key hormones such as ghrelin, leptin, and insulin; three key players on food intake and energy homeostasis control. Ghrelin is an orexigenic (i.e., appetite stimulant) hormone [3][4][5]; in fact, the only one of its kind, a peripheral hormone that can influence centrally one's propensity to start a meal [3]; its effect seems to be mediated by a group of neurons in the brain (arcuate nucleus) [6]. This group of neurons is the same aimed by leptin and insulin, mediated for releasing neuropeptide y 1 .…”

Section: Introductionmentioning

confidence: 99%

“…8, is a residual error function that should be minimized, employed for measuring how well or badly is our model performing when compared to experimental data, called parameter estimation/system identification [2]. Our hypothesis is that our model, see for more [1,4] discussions, can be used to experimental data, collected by independent group, in vivo data, from human. And we succeed at a first stage, as can be seen in the simulation section.…”

Section: Introductionmentioning

confidence: 99%

“…3); furthermore, we apply artificial neural networks for supporting the numerical simulations. The work is based on Pires (2017) [1] and Pires at al (2017) [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A hybrid algorithm for parameter estimation of the ghrelin dynamics based on in vivo data

Pires¹

2018

Proceedings XIII Brazilian Congress on Computational Inteligence

View full text Add to dashboard Cite

Food intake, bodyweight and appetite are controlled by a "web of hormones." Recently, from this web of hormones, several hormones have been revealed and investigated with different degrees of success: a key one is ghrelin. Accordingly, ghrelin is an orexigenic (i.e., appetite stimulant) hormone; in fact, the only one of its kind, a peripheral hormone that can influence, centrally, one's propensity to start a meal. On this work, we shall present a problem in parameter estimation using evolutionary algorithms in conjunction with local search, what we have called herein hybrid algorithms (global search + local search); additionally, we apply artificial neural networks (feedforward neural network) for supporting the numerical simulations (what we have named "fake data"). Moreover, we present a mathematical model for ghrelin partially published elsewhere by the same authors; in addition, we have confronted the model mathematically with in vivo data via parameter estimation and got promising results for the novel mathematical formulation for ghrelin dynamics. Thus, our aim is showing that our algorithms can be imperative for fitting the current and future versions of the model. Notwithstanding the parameter estimation was unable to model precisely the experimental data, most likely due to physiological details still unclear in the medical literature, it generated an optimized curve relatively close to the experimental data, leaving promising results for future investigations.

show abstract

A biological rhythm in the hypothalamic system links sleep-wake cycles with feeding-fasting cycles

Tamayo-Molina,

Giraldo,

Rodríguez

et al. 2024

Sci Rep

View full text Add to dashboard Cite

A short-term dynamical model for ghrelin

Cited by 7 publications

References 26 publications

The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents

The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents

A hybrid algorithm for parameter estimation of the ghrelin dynamics based on in vivo data

A biological rhythm in the hypothalamic system links sleep-wake cycles with feeding-fasting cycles

Contact Info

Product

Resources

About