Literature DB >> 26674550

Pulsatility of Hypothalamo-Pituitary Hormones: A Challenge in Quantification.

Daniel M Keenan1, Johannes D Veldhuis2.   

Abstract

Neuroendocrine systems control many of the most fundamental physiological processes, e.g., reproduction, growth, adaptations to stress, and metabolism. Each such system involves the hypothalamus, the pituitary, and a specific target gland or organ. In the quantification of the interactions among these components, biostatistical modeling has played an important role. In the present article, five key challenges to an understanding of the interactions of these systems are illustrated and discussed critically. ©2016 Int. Union Physiol. Sci./Am. Physiol. Soc.

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Year:  2016        PMID: 26674550      PMCID: PMC4698454          DOI: 10.1152/physiol.00027.2015

Source DB:  PubMed          Journal:  Physiology (Bethesda)        ISSN: 1548-9221


  63 in total

1.  Tripartite control of dynamic ACTH-cortisol dose responsiveness by age, body mass index, and gender in 111 healthy adults.

Authors:  Johannes D Veldhuis; Ali Iranmanesh; Ferdinand Roelfsema; Paul Aoun; Paul Takahashi; John M Miles; Daniel M Keenan
Journal:  J Clin Endocrinol Metab       Date:  2011-07-13       Impact factor: 5.958

Review 2.  Pathophysiology of the neuroregulation of growth hormone secretion in experimental animals and the human.

Authors:  A Giustina; J D Veldhuis
Journal:  Endocr Rev       Date:  1998-12       Impact factor: 19.871

3.  The pituitary gland secretes in bursts: appraising the nature of glandular secretory impulses by simultaneous multiple-parameter deconvolution of plasma hormone concentrations.

Authors:  J D Veldhuis; M L Carlson; M L Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  1987-11       Impact factor: 11.205

4.  Detection and characterization of peaks and estimation of instantaneous secretory rate for episodic pulsatile hormone secretion.

Authors:  K E Oerter; V Guardabasso; D Rodbard
Journal:  Comput Biomed Res       Date:  1986-04

5.  A comparison of methods that characterize pulses in a time series.

Authors:  D T Mauger; M B Brown; R H Kushler
Journal:  Stat Med       Date:  1995-02-15       Impact factor: 2.373

6.  Episodic luteinizing hormone secretion in man. Pulse analysis, clinical interpretation, physiologic mechanisms.

Authors:  R J Santen; C W Bardin
Journal:  J Clin Invest       Date:  1973-10       Impact factor: 14.808

7.  A biomathematical model of time-delayed feedback in the human male hypothalamic-pituitary-Leydig cell axis.

Authors:  D M Keenan; J D Veldhuis
Journal:  Am J Physiol       Date:  1998-07

8.  Sensitivity and specificity of pulse detection using a new deconvolution method.

Authors:  Peter Y Liu; Daniel M Keenan; Petra Kok; Vasantha Padmanabhan; Kevin T O'Byrne; Johannes D Veldhuis
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-06-16       Impact factor: 4.310

9.  Age-dependent regression analysis of male gonadal axis.

Authors:  Daniel M Keenan; Johannes D Veldhuis
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-07-08       Impact factor: 3.619

10.  Deconvolution of episodic hormone data: an analysis of the role of season on the onset of puberty in cows.

Authors:  F O'Sullivan; J O'Sullivan
Journal:  Biometrics       Date:  1988-06       Impact factor: 2.571

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  10 in total

1.  Bayesian analysis improves pulse secretion characterization in reproductive hormones.

Authors:  Huayu Liu; Alex J Polotsky; Gary K Grunwald; Nichole E Carlson
Journal:  Syst Biol Reprod Med       Date:  2017-12-29       Impact factor: 3.061

2.  A novel measure of glucose homeostasis (or loss thereof) comprising the joint dynamics of glucose, insulin, glucagon, and cortisol.

Authors:  Daniel M Keenan; Johannes D Veldhuis; Ananda Basu; Rita Basu
Journal:  Am J Physiol Endocrinol Metab       Date:  2019-03-12       Impact factor: 4.310

3.  Autonomous push button-controlled rapid insulin release from a piezoelectrically activated subcutaneous cell implant.

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Journal:  Sci Adv       Date:  2022-06-15       Impact factor: 14.957

4.  Modeling pulsativity in the hypothalamic-pituitary-adrenal hormonal axis.

Authors:  Alexander N Churilov; John G Milton
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

5.  Dynamic Pituitary-Adrenal Interactions in the Critically Ill after Cardiac Surgery.

Authors:  Ben Gibbison; Daniel M Keenan; Ferdinand Roelfsema; Jon Evans; Kirsty Phillips; Chris A Rogers; Gianni D Angelini; Stafford L Lightman
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

Review 6.  Astroglial Regulation of Magnocellular Neuroendocrine Cell Activities in the Supraoptic Nucleus.

Authors:  Stephani C Wang; Vladimir Parpura; Yu-Feng Wang
Journal:  Neurochem Res       Date:  2020-11-20       Impact factor: 4.414

7.  Hypothesis: Mechanisms That Prevent Recovery in Prolonged ICU Patients Also Underlie Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Authors:  Dominic Stanculescu; Lars Larsson; Jonas Bergquist
Journal:  Front Med (Lausanne)       Date:  2021-01-28

8.  Reliability of a dried urine test for comprehensive assessment of urine hormones and metabolites.

Authors:  Mark Newman; Desmond A Curran
Journal:  BMC Chem       Date:  2021-03-15

9.  Spatial decoding of endosomal cAMP signals by a metastable cytoplasmic PKA network.

Authors:  Grace E Peng; Veronica Pessino; Bo Huang; Mark von Zastrow
Journal:  Nat Chem Biol       Date:  2021-03-01       Impact factor: 15.040

10.  CRHR1 mediates the transcriptional expression of pituitary hormones and their receptors under hypoxia.

Authors:  Tong Ying Wang; Fang Yuan Xia; Jing Wen Gong; Xiao Kang Xu; Min Chao Lv; Mahanand Chatoo; Bilal Haider Shamsi; Meng Chen Zhang; Qian Ru Liu; Tian Xing Liu; Dan Dan Zhang; Xin Jiang Lu; Yang Zhao; Ji Zeng Du; Xue Qun Chen
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-02       Impact factor: 6.055

  10 in total

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