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Algorithms for the study of episodic hormone secretion.

G R Merriam, K W Wachter

    The American Journal of Physiology
    |October 1, 1982
    PubMed
    Summary
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    This study introduces a novel algorithm for detecting ultradian pulsations in hormone data by removing trends and identifying peaks. The method aids in analyzing hormone secretion patterns and frequency.

    Area of Science:

    • Endocrinology
    • Biostatistics
    • Physiology

    Background:

    • Identifying ultradian pulsations in hormonal time series lacks a standardized procedure.
    • Hormonal rhythms, particularly ultradian pulsations, are crucial for physiological regulation but challenging to quantify.

    Purpose of the Study:

    • To develop and validate a robust computational approach for identifying and characterizing ultradian pulsations in hormonal time series.
    • To provide a method for resolving overlapping secretory episodes within hormonal data.

    Main Methods:

    • A novel algorithm involving robust smoothing to remove long-term trends (e.g., diurnal rhythms).
    • Identification of peaks in the residual series based on user-defined criteria (G(n)) related to peak width and magnitude.
    • Iterative refinement of smoothing and peak detection, followed by resolution of overlapping peaks.

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    Main Results:

    • The algorithm successfully identifies both narrow, high-amplitude peaks and broader, lower-amplitude peaks.
    • It provides statistics on the average frequency and amplitude of detected ultradian pulsations.
    • Computer programs have been developed to implement this analytical approach.

    Conclusions:

    • The proposed method offers a systematic and adaptable approach to analyzing ultradian hormonal rhythms.
    • This technique can enhance the understanding of hormone secretion dynamics and physiological processes.
    • The developed algorithm and software provide a valuable tool for researchers in endocrinology and related fields.