Obesity: an evolutionary context

John R Speakman* (Corresponding Author), Joel K Elmquist

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)
3 Downloads (Pure)

Abstract

People completely lacking body fat (lipodystrophy/lipoatrophy) and those with severe obesity both show profound metabolic and other health issues. Regulating levels of body fat somewhere between these limits would, therefore, appear to be adaptive. Two different models might be contemplated. More traditional is a set point (SP) where the levels are regulated around a fixed level. Alternatively, dual-intervention point (DIP) is a system that tolerates fairly wide variation but is activated when critically high or low levels are breached. The DIP system seems to fit our experience much better than an SP, and models suggest that it is more likely to have evolved. A DIP system may have evolved because of two contrasting selection pressures. At the lower end, we may have been selected to avoid low levels of fat as a buffer against starvation, to avoid disease-induced anorexia, and to support reproduction. At the upper end, we may have been selected to avoid excess storage because of the elevated risks of predation. This upper limit of control seems to have malfunctioned because some of us deposit large fat stores, with important negative health effects. Why has evolution not protected us against this problem? One possibility is that the protective system slowly fell apart due to random mutations after we dramatically reduced the risk of being predated during our evolutionary history. By chance, it fell apart more in some people than others, and these people are now unable to effectively manage their weight in the face of the modern food glut. To understand the evolutionary context of obesity, it is important to separate the adaptive reason for storing some fat (i.e. the lower intervention point), from the nonadaptive reason for storing lots of fat (a broken upper intervention point). The DIP model has several consequences, showing how we understand the obesity problem and what happens when we attempt to treat it.

Original languageEnglish
Pages (from-to)10-24
Number of pages15
JournalLife metabolism
Volume1
Issue number1
Early online date29 Apr 2022
DOIs
Publication statusPublished - 1 Aug 2022

Bibliographical note

This work was supported by the Shenzhen Key Laboratory of Metabolic Health (ZDSYS20210427152400001) to JRS and by the US National Institutes of Health grants R01DK100659, R01DK118725, P01DK119130 and R01DK12724 to JKE.

Keywords

  • obesity
  • BMI
  • body fat
  • adiposity
  • evolution
  • selection
  • adaptive
  • leptin resistance
  • metabolic programming
  • dual-intervention point model
  • set-point model

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