TY - JOUR
T1 - Testing pulse detection algorithms with simulations of episodically pulsatile substrate, metabolite, or hormone release
AU - Veldhuis, Johannes D.
AU - Johnson, Michael L.
N1 - Funding Information:
We thank Patsy Craig for skillful preparation of the manuscript and Paula P. Azimi for the artwork. This work was supported in part by National Institutes of Health Grant RR 00847 to the Clinical Research Center of the University of Virginia, Research Career Development Award 1 KO4 HD00634 (J.D.V.), NIH Grant GM-28928 (M.L.J.), the Diabetes and Endocrinology Research Center Grant NIH DK-38942, the NIH-supported Clinfo Data Reduction Systems, the Pratt Foundation, the University of Virginia Academic Enhancement Fund, and the National Science Foundation Center for Biological Timing (NSF Grant DIR89-20162).
Funding Information:
We thank Patsy Craig for skillful preparation of the manuscript and Paula P. Azimi for the artwork. This work was supported in part by National Institutes of Health Grant RR 00847 to the Clinical Research Center of the University of Virginia, RCDA 1 KO4 HD00634 (J.D.V.), NIH Grant GM-28928 (M.L.J.), the Diabetes and Endocrinology Research Center Grant NIH DK-38942, the NIH-supported Clinfo Data Reduction Systems, the Pratt Foundation, the University of Virginia Academic Enhancement Fund, and the National Science Foundation Center for Biological Timing (DIR-8920162).
PY - 1994/1/1
Y1 - 1994/1/1
N2 - Mathematical computer-assisted simulations of episodic hormone, substrate, or metabolite release can be accomplished using explicit algebra and high-speed microprocessors. Such simulations are useful to describe the behavior of single or multiple pulse generators, as well as the expected output of these systems. Simulated series are helpful in evaluating the sensitivity, specificity, positive accuracy, and negative accuracy of discrete peak detection methods, and in deconvolution analysis. Specifically, deconvolution analysis should recover the correct half-life, production rate, frequency, amplitude, mass, and duration of pulsatile hormone secretion, and it should accurately estimate concurrent basal secretion, if present. Finally, multiple pulse generators provide an interesting simulation model for testing random burst concordance, evaluating how the surgelike release of a hormone can be accomplished, and assessing the interactions among several control systems. Lastly, special problems remain in simulating neuroendocrine pulsatility, namely, the impact of multiple binding proteins (see Table 1, p. 392 in this volume), the effects of strong and/or correlated circadian variations in burst frequency or amplitude or basal secretion, the development of improved statements of error and experimental uncertainty in the data, and the description of various modes of basal secretion.
AB - Mathematical computer-assisted simulations of episodic hormone, substrate, or metabolite release can be accomplished using explicit algebra and high-speed microprocessors. Such simulations are useful to describe the behavior of single or multiple pulse generators, as well as the expected output of these systems. Simulated series are helpful in evaluating the sensitivity, specificity, positive accuracy, and negative accuracy of discrete peak detection methods, and in deconvolution analysis. Specifically, deconvolution analysis should recover the correct half-life, production rate, frequency, amplitude, mass, and duration of pulsatile hormone secretion, and it should accurately estimate concurrent basal secretion, if present. Finally, multiple pulse generators provide an interesting simulation model for testing random burst concordance, evaluating how the surgelike release of a hormone can be accomplished, and assessing the interactions among several control systems. Lastly, special problems remain in simulating neuroendocrine pulsatility, namely, the impact of multiple binding proteins (see Table 1, p. 392 in this volume), the effects of strong and/or correlated circadian variations in burst frequency or amplitude or basal secretion, the development of improved statements of error and experimental uncertainty in the data, and the description of various modes of basal secretion.
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U2 - 10.1016/S0076-6879(94)40056-3
DO - 10.1016/S0076-6879(94)40056-3
M3 - Article
C2 - 7823840
AN - SCOPUS:0028673457
SN - 0076-6879
VL - 240
SP - 377
EP - 415
JO - Methods in enzymology
JF - Methods in enzymology
IS - C
ER -