Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

General model for nutritional responses of higher organisms.

P H Morgan, L P Mercer, N W Flodin

    Proceedings of the National Academy of Sciences of the United States of America
    |November 1, 1975
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Association between HbA<sub>1c</sub> and the development of cystic fibrosis-related diabetes.

    Diabetic medicine : a journal of the British Diabetic Association·2019
    Same author

    Histamine and the neuroregulation of food intake.

    Nutrition (Burbank, Los Angeles County, Calif.)·1997
    Same author

    The metabolic roles, pharmacology, and toxicology of lysine.

    Journal of the American College of Nutrition·1997
    Same author

    Food intake is inversely correlated with central nervous system histamine receptor (H1) concentrations in male Sprague-Dawley rats fed normal, low protein, low energy or poor quality protein diets.

    The Journal of nutrition·1996
    Same author

    Gender affects rats' central nervous system histaminergic responses to dietary manipulation.

    The Journal of nutrition·1996
    Same author

    A mathematical model for analysis of pharmacologically induced changes in the kinetics of cardiac muscle.

    Journal of pharmacological and toxicological methods·1996
    Same journal

    In This Issue.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Correction for Otsuki et al., Extracellular sulfatases support cartilage homeostasis by regulating BMP and FGF signaling pathways.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Hive mind: Microbial communities and the making of memory.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Targets for disease modification in schizophrenia: New findings add to evidence for the involvement of the immune complement system.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Correction for Wang et al., The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013-2023).

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Correction for Mishra, Ecology is not yet ready for AI-and why that matters.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    See all related articles

    A new saturation equation accurately models nutrient-response relationships in organisms. This approach provides parameters similar to enzyme kinetics for assessing nutritional needs and nutrient source efficiency.

    Area of Science:

    • Nutritional Science
    • Biophysics
    • Physiology

    Background:

    • Understanding nutrient-response relationships is crucial for organismal health and development.
    • Existing models may not universally capture the complex interactions between nutrient intake and biological response.
    • Higher organisms exhibit diverse physiological responses to varying nutrient levels.

    Purpose of the Study:

    • To derive a general saturation equation applicable to diverse nutrient-response relationships.
    • To develop a predictive model for nutrient requirements and biological efficiency.
    • To introduce response parameters analogous to enzyme kinetics (Vmax and Km).

    Main Methods:

    • Derivation of a general saturation equation.
    • Application of iterative multiple linear regression for parameter estimation.

    Related Experiment Videos

  • Least squares analysis to define theoretical nutrient-response curves.

    • Main Results:

    • The derived equation effectively describes various nutrient-response relationships.
    • Generated curves accurately predict experimentally observed biological responses.
    • Novel response parameters analogous to Vmax and Km were developed.

    Conclusions:

    • The proposed saturation model offers a robust framework for analyzing nutrient-response dynamics.
    • The model can be utilized for precise evaluation of nutritional requirements.
    • It provides a method for assessing the relative biological efficiency of different nutrient sources.