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Related Concept Videos

Positive and Negative Feedback Loops01:18

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Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
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What is Homeostasis?01:16

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Maintaining homeostasis requires that the body continuously maintain its internal conditions. Each physiological condition has a particular set point, from body temperature to blood pressure to levels of certain nutrients. A set point is the physiological value around which the normal range fluctuates. A normal range is a restricted set of values that is optimally healthful and stable. For example, the set point for normal human body temperature is approximately 37°C (98.6°F).
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Acid-base homeostasis is essential for maintaining normal physiological activities in humans. The pH of various body fluids is strictly regulated because it is critical for the optimal activity of enzymes involved in metabolic reactions. Enzymes are basically proteins, so, any significant change in pH can affect their structure and activity. In humans, pH is regulated using three primary mechanisms— chemical buffer systems, respiratory regulation, and renal regulation.
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The regulation of the cardiovascular system allows the body to adapt to various demands and maintain homeostasis.
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Homeostasis is the maintenance of a stable internal environment within the body, which is crucial for the proper functioning of cells, tissues, organs, and organ systems. The body has various control mechanisms that work together to regulate various physiological parameters such as temperature, blood pressure, pH balance, and fluid balance, to name a few. These control mechanisms are based on feedback loops that can be either positive or negative.
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Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
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Implantation of Combined Telemetric ECG and Blood Pressure Transmitters to Determine Spontaneous Baroreflex Sensitivity in Conscious Mice
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Homeostatic regulation in physiological systems: A versatile Ansatz.

Hugo A van den Berg1, Yury N Kiselev2, Mikhail V Orlov2

  • 1University of Warwick, Coventry, CV4 7AL UK.

Mathematical Biosciences
|August 19, 2015
PubMed
Summary

A new modeling approach simplifies the study of physiological homeostasis. This method effectively analyzes and predicts system behaviors even with incomplete knowledge of regulatory mechanisms.

Keywords:
Body temperatureCardinalis cardinalisHomeostasisLymnaea stagnalisWater and salt balance

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Area of Science:

  • Physiology
  • Systems Biology
  • Computational Biology

Background:

  • Homeostatic dynamics are crucial for physiological systems.
  • Central regulatory components (nervous and endocrine systems) are often complex and not fully characterized.
  • Accurate modeling of physiological regulation is essential for understanding health and disease.

Purpose of the Study:

  • To present a generic modeling formalism for homeostatic dynamics.
  • To apply this formalism to diverse physiological regulation examples.
  • To demonstrate the method's utility in analyzing and predicting system behavior.

Main Methods:

  • Development of a generic modeling formalism for homeostatic dynamics.
  • Application of the formalism to temperature regulation in birds and mammals.
  • Application to hydromineral regulation in a mollusk.

Main Results:

  • The modeling formalism successfully integrated available data for multiple case studies.
  • The method provided physiologically relevant predictions for temperature and hydromineral regulation.
  • The approach proved effective even when central regulatory details were not fully known.

Conclusions:

  • The proposed modeling formalism offers a powerful tool for analyzing physiological homeostasis.
  • This method facilitates comprehensive data integration and predictive modeling in physiological systems.
  • The approach is versatile and applicable across different species and regulatory functions.