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A game theory appraisal of the insurance hypothesis: Specific polymorphisms in the energy homeostasis network as imprints of a successful minimax strategy

Published online by Cambridge University Press:  11 May 2017

Tobias A. Mattei
Tobias A. Mattei*
Affiliation:
Interdisciplinary Research Group in Cognitive Psychology, Neuroeconomics and Game Theory – Neurosurgery and Spine Specialists, Eastern Maine Medical Center, Bangor, ME 04401. [email protected]
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Abstract

The existence of specific polymorphisms in genes of key hormones of the energy homeostasis network that have been shown to predispose to obesity and the so-called metabolic syndrome provides further biological support for the proposed insurance hypothesis. In a broader sense, such polymorphisms can be understood as biological imprints of an evolutionarily successful minimax strategy employed by ancient Homo sapiens subpopulations in a one-player game against nature.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e123
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Copyright
Copyright © Cambridge University Press 2017 

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References

Chang, C.-S., Lu, Y.-J., Chang, H.-H., Hsu, S.-H., Kuo, P.-H., Shieh, C.-C., Yao, W.-J., Hsu, M.-C., Young, K.-C., Lin, W.-Y., Huang, K.-C., Wu, C.-H. & Tsai, Y.-S. (2016) Role of adiponectin gene variants, adipokines and hydrometry-based percent body fat in metabolically healthy and abnormal obesity. Obesity Research & Clinical Practice pii:S1871–403X(16)30031-X. doi: 10.1016/j.orcp.2016.05.003.CrossRefGoogle Scholar
Chen, B.-S. & Ho, S.-J. (2014) The stochastic evolutionary game for a population of biological networks under natural selection. Evolutionary Bioinformatics Online 10:17–38. doi: 10.4137/EBO.S13227. eCollection 2014.Google Scholar
Mărginean, C. O., Mărginean, C., Voidăzan, S., Meliţ, L., Crauciuc, A., Dauicu, C. & Bănescu, C. (2016) Correlations between leptin gene polymorphisms 223 a/G, 1019 G/a, 492 G/C, 976 C/a, and anthropometrical and biochemical parameters in children with obesity: a prospective case-control study in a Romanian population – The Nutrichild Study. Medicine (Baltimore) 95(12):e3115. doi: 10.1097/MD.0000000000003115.Google Scholar
Meier, U. & Gressner, A. M. (2004) Endocrine regulation of energy metabolism: Review of pathobiochemical and clinical chemical aspects of leptin, ghrelin, adiponectin, and resistin. Clinical Chemistry 50(9):1511–25.CrossRefGoogle ScholarPubMed
Milnor, J. W. (1951) Games against nature. RM-679; U. S. Air Force Project RAND Research Memorandum. RAND. Available at: http://www.rand.org/pubs/research_memoranda/RM0679.html.Google Scholar
Mora, M., Adam, V., Palomera, E., Blesa, S., Diaz, G., Buquet, X., Serra-Prat, M., Martin-Escudero, J. C., Palanca, A., Chaves, J. F., Puig-Domingo, M. & The Matarό Aging Study Group (2015) Ghrelin gene variants influence on metabolic syndrome components in aged Spanish population. PLoS ONE 10(9):e0136931. doi: 10.1371/journal.pone.0136931.Google Scholar
Neel, J. V. (1999) The “thrifty genotype” in 1998. Nutrition Reviews 57(5 Pt 2):S2–S9.Google Scholar
Pfeiffer, T. & Schuster, S. (2005) Game-theoretical approaches to studying the evolution of biochemical systems. Trends in Biochemical Sciences 30(1):20–25.Google Scholar
Schuster, S., Kreft, J. U., Schroeter, A. & Pfeiffer, T. (2008) Use of game-theoretical methods in biochemistry and biophysics. Journal of Biological Physics 34(1–2):1–17. doi: 10.1007/s10867-008-9101-4.Google Scholar
Schuster, S., de Figueiredo, L. F., Schroeter, A. & Kaleta, C. (2011) Combining metabolic pathway analysis with evolutionary game theory: explaining the occurrence of low-yield pathways by an analytic optimization approach. Biosystems 105(2):147–53.Google Scholar
Speakman, J. R. (2008) Thrifty genes for obesity, an attractive but flawed idea, and an alternative perspective: The “drifty gene” hypothesis. International Journal of Obesity 32(11):1611–17. Available at: http://doi.org/10.1038/ijo.2008.161.Google Scholar
Thaler, R. H. (1988) Anomalies: The winner's curse. Journal of Economic Perspectives 2(1):191–202. doi: 10.1257/jep.2.1.191. JSTOR 1942752.Google Scholar
von Neumann, J. & Morgenstern, O., (1947) Theory of games and economic behavior. Princeton University Press.Google Scholar
Zhu, X., Jiang, L., Ye, M., Sun, L., Gragnoli, C & Wu, R. (2016) Integrating evolutionary game theory into mechanistic genotype-phenotype mapping. Trends in Genetics 32(5):256–68. doi: 10.1016/j.tig.2016.02.004.Google Scholar