Foraging theory and the propensity to be obese: an alternative to thrift
| Autor: | Milind Watve, Lavanya Lokhande, Poortata Lalwani, Ulfat Baig, Suraj Chawla |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Leptin
Cart Appetitive Behavior Body Weight Foraging Evolutionary medicine Fear Anxiety Biology medicine.disease Biological Evolution Models Biological Obesity Cocaine and amphetamine regulated transcript Predation Anthropology Physical Optimal foraging theory Risk perception Metabolism Evolutionary biology Anthropology medicine Humans Adaptation |
| Zdroj: | HOMO. 70:193-216 |
| ISSN: | 0018-442X |
| Popis: | The evolutionary origin of obesity is classically believed to be genetic or developmentally induced thrift, as an adaptation to ancestral feast and famine conditions. However, recently the thrift family of hypotheses have attracted serious criticism necessitating alternative thinking. Optimization of foraging behaviour is an important aspect of behavioural evolution. For a species evolved for optimizing nutritional benefits against predation or other foraging risks, reduction in foraging risk below a threshold dramatically increases the steady-state body weight. In modern life where feeding is detached from foraging, the behavioural regulation mechanisms are likely to fail resulting into escalation of adiposity. At a proximate level the signalling pathways for foraging optimization involve fear induced signal molecules in the brain including Cocaine and Amphetamine Regulated Transcript (CART) interacting with adiposity signals such as leptin. While leptin promotes the expression of the fear peptides, the fear peptides promote anorectic action of leptin. This interaction promotes foraging drive and risk tolerance when the stored energy is low and suppresses hunger and foraging drive when the perceived risk is high. The ecological model of foraging optimization and the molecular model of interaction of these peptides converge in the outcome that the steady state adiposity is an inverse square root function of foraging risk. The foraging optimization model is independent of thrift or insurance hypotheses, but not mutually exclusive. We review existing evidence and suggest testable predictions of the model. Understanding obesity simultaneously at proximate and ultimate levels is likely to suggest effective means to curb the obesity epidemic. |
| Databáze: | OpenAIRE |
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