4.5 Article

Escape from homeostasis

期刊

MATHEMATICAL BIOSCIENCES
卷 257, 期 -, 页码 104-110

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2014.08.015

关键词

Thermoregulation; Homocysteine; Dopamine; Myogenic response; Feed forward inhibition; Chair curve

资金

  1. NSF [EF-1038593]
  2. NSF through the Mathematical Biosciences Institute [0112050]
  3. NSF CAREER Award
  4. Alfred P. Sloan Foundation
  5. NIH [R01 ES019876]
  6. Direct For Biological Sciences
  7. Emerging Frontiers [1038593] Funding Source: National Science Foundation
  8. Division Of Mathematical Sciences
  9. Direct For Mathematical & Physical Scien [0956057] Funding Source: National Science Foundation

向作者/读者索取更多资源

Many physiological systems, from gene networks to biochemistry to whole organism physiology, exhibit homeostatic mechanisms that keep certain variables within a fairly narrow range. Because homeostatic mechanisms buffer traits against environmental and genetic variation they allow the accumulation of cryptic genetic variation. Homeostatic mechanisms are never perfect and can be destabilized by mutations in genes that alter the kinetics of the underlying mechanism. We use mathematical models to study five diverse mechanisms of homeostasis: thermoregulation; maintenance of homocysteine concentration; neural control by a feed forward circuit; the myogenic response in the kidney; and regulation of extracellular dopamine levels in the brain. In all these cases there are homeostatic regions where the trait is relatively insensitive to genetic or environmental variation, flanked by regions where it is sensitive. Moreover, mutations or environmental changes can place an individual closer to the edge of the homeostatic region, thus predisposing that individual to deleterious effects caused by additional mutations or environmental changes. Mutations and environmental variables can also reduce the size of the homeostatic region, thus releasing potentially deleterious cryptic genetic variation. These considerations of mutations, environment, homeostasis, and escape from homeostasis help to explain why the etiology of so many diseases is complex. (C) 2014 Elsevier Inc. All rights reserved.

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