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The American journal of physiology1988; 255(5 Pt 1); E688-E695; doi: 10.1152/ajpendo.1988.255.5.E688

Hydrocortisone secretion: production rate and pulse characterization by numerical deconvolution.

Abstract: Based on serial blood sampling over 24 h, hydrocortisone was shown to be secreted episodically in the horse. The purpose of the present experiment was to characterize peaks and troughs by analyzing the instantaneous secretion rate profile obtained by a deconvolution technique rather than from the plasma concentration time profile. Kinetic parameters of hydrocortisone were determined following intravenous bolus and intravenous perfusion of hydrocortisone. Stationary and nonlinearity of hydrocortisone disposition were demonstrated. With the use of clearance values calculated from constant perfusion administration, the 24-h hydrocortisone production rate was estimated at 0.46 +/- 0.08 mg.kg-1.24 h-1. The instantaneous secretory profile was reconstituted by deconvoluting the plasma concentration profile using structural parameters determined from the bolus hydrocortisone administration. When this secretory profile was subjected to a pulse analysis program, the number of detected peaks was found to be 17.25 +/- 1.26 and the mean peak duration 34.01 +/- 5.52 min. The total duration of secretory activity was estimated at 582.5 +/- 63.97 min. By comparison, when the plasma concentration profile was analyzed directly, the number of peaks was only 10.0 +/- 1.41 but their mean duration was much longer, i.e., 105.25 +/- 21.24 min. The origin of these differences and the advantages and limits of deconvolution analysis are discussed.
Publication Date: 1988-11-01 PubMed ID: 3189538DOI: 10.1152/ajpendo.1988.255.5.E688Google Scholar: Lookup
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  • Journal Article

Summary

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The research paper explores how hydrocortisone is secreted in horses, focusing on the rate and pattern of secretion. It demonstrates that hydrocortisone secretion occurs in a fluctuating manner and uses a mathematical technique known as deconvolution to accurately analyse the secretion rate.

Objectives and Methodology

  • The main aim of this research study was to investigate the episodic secretion pattern of hydrocortisone in horses.
  • The researchers studied the secretory pattern by looking at the instantaneous secretion rate profile, which they obtained through a numerical procedure known as deconvolution. Deconvolution is a mathematical process used to reverse the effects of convolution (a mathematical operation) on recorded data.
  • The researchers conducted their study by obtaining blood samples from horses over a 24-hour period. The hydrocortisone levels in these samples were analyzed following intravenous bolus and intravenous infusion of hydrocortisone.

Key Findings

  • The researchers found that hydrocortisone secretion occurs in an episodic manner, meaning it is not continuously secreted but rather emitted sporadically throughout the day.
  • Using the clearance values calculated from constant perfusion administration, the research team estimated that the 24-hour hydrocortisone production rate was approximately 0.46 mg per kg of body weight.
  • When the secretory profile was subjected to a pulse analysis program, the number of detected secretion peaks was found to be approximately 17.2, with the mean peak duration amounting to around 34 minutes. The total duration of secretory activity was estimated at roughly 583 minutes.
  • Interestingly, when the plasma concentration profile was analyzed directly, without the use of deconvolution, the number of recorded peaks was only around 10, but their average duration was much longer (approximately 105 minutes).

Implications and Conclusions

  • The research paper discusses the potential reasons for the differences in results when direct analysis is used as opposed to deconvolution.
  • The researchers highlight the advantages and limitations of the deconvolution analysis method. Although it may be more complex to apply and interpret than direct peak analysis, it evidently offers a more detailed and accurate insight into hydrocortisone secretion patterns.
  • The study’s findings contribute to our understanding of hydrocortisone secretion in horses. They could also have broader implications for studies on hormonal secretion and the evaluation of biological systems.

Cite This Article

APA
Toutain PL, Laurentie M, Autefage A, Alvinerie M. (1988). Hydrocortisone secretion: production rate and pulse characterization by numerical deconvolution. Am J Physiol, 255(5 Pt 1), E688-E695. https://doi.org/10.1152/ajpendo.1988.255.5.E688

Publication

ISSN: 0002-9513
NlmUniqueID: 0370511
Country: United States
Language: English
Volume: 255
Issue: 5 Pt 1
Pages: E688-E695

Researcher Affiliations

Toutain, P L
  • Station de Pharmacologie-Toxicologie, Institut National de la Recherche Agronomique, Toulouse, France.
Laurentie, M
    Autefage, A
      Alvinerie, M

        MeSH Terms

        • Animals
        • Horses / physiology
        • Hydrocortisone / metabolism
        • Hydrocortisone / pharmacokinetics
        • Mathematical Computing
        • Minicomputers
        • Periodicity

        Citations

        This article has been cited 3 times.
        1. Kikuchi M, Nagata SI, Ishige T, Minamijima Y, Hirota KI, Tozaki T, Kakoi H, Kizaki K. Evaluation of the effect of glucocorticoid treatment on adrenocortical functions by monitoring endogenous hydrocortisone in horses. J Vet Med Sci 2023 Jun 13;85(6):647-652.
          doi: 10.1292/jvms.23-0011pubmed: 37150610google scholar: lookup
        2. Held F, Ekstrand C, Cvijovic M, Gabrielsson J, Jirstrand M. Modelling of oscillatory cortisol response in horses using a Bayesian population approach for evaluation of dexamethasone suppression test protocols. J Pharmacokinet Pharmacodyn 2019 Feb;46(1):75-87.
          doi: 10.1007/s10928-018-09617-0pubmed: 30673914google scholar: lookup
        3. Liu PY, Keenan DM, Kok P, Padmanabhan V, O'Byrne KT, Veldhuis JD. Sensitivity and specificity of pulse detection using a new deconvolution method. Am J Physiol Endocrinol Metab 2009 Aug;297(2):E538-44.
          doi: 10.1152/ajpendo.00071.2009pubmed: 19531646google scholar: lookup