Mathematically modeling the role of triglyceride production on leptin resistance

Yu Zhao, Daniel Burkow, Baojun Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Diet-induced obesity is becoming more common all over the world, which is increasing the prevalence of obesity-induced chronic diseases such as diabetes, coronary heart disease, cancer, and sleep apnea. Many experimental results show that obesity is often associated with an elevated concentration of plasma leptin and triglycerides. Triglycerides inhibit the passage of leptin across the blood–brain barrier (BBB) to signal the hypothalamus to suppress appetite. However, it is still not clear how triglyceride concentration affects leptin transport across the BBB and energy balance. In this paper, we propose a novel ordinary differential equations model describing the role of leptin in the regulation of adipose tissue mass. Analytical and numerical results are analyzed using biologically relevant parameter values. Additionally, we perform sensitivity analysis of the equilibria and study the sensitivity of triglyceride production on leptin resistance. Equilibria analysis and simulation results show that triglyceride production plays an important role in determining the fat mass in an individual. As weight increases, the occurrence of leptin resistance increases. Obesity enhances the likelihood of creating a vicious circle, where more fat mass leads to greater leptin resistance. Thus, control of the triglyceride production may be effective in reducing the occurrence of leptin resistance.

Original languageEnglish
Title of host publicationRecent Developments in Intelligent Computing, Communication and Devices - Proceedings of ICCD 2017
EditorsSrikanta Patnaik, Vipul Jain
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9789811089435
StatePublished - 2019
EventInternational Conference on Intelligent Computing, Communication and Devices, ICCD 2017 - Shenzhen, China
Duration: 9 Dec 201710 Dec 2017

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


OtherInternational Conference on Intelligent Computing, Communication and Devices, ICCD 2017


  • Bifurcation
  • Leptin resistance
  • Sensitivity
  • Triglyceride


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