CONTEXT: Cortisol has a distinct circadian rhythm regulated by the brain's central pacemaker. Loss of this rhythm is associated with metabolic abnormalities, fatigue, and poor quality of life. Conventional glucocorticoid replacement cannot replicate this rhythm. OBJECTIVES: Our objectives were to define key variables of physiological cortisol rhythm, and by pharmacokinetic modeling test whether modified-release hydrocortisone (MR-HC) can provide circadian cortisol profiles. SETTING: The study was performed at a Clinical Research Facility. DESIGN AND METHODS: Using data from a cross-sectional study in healthy reference subjects (n = 33), we defined parameters for the cortisol rhythm. We then tested MR-HC against immediate-release hydrocortisone in healthy volunteers (n = 28) in an open-label, randomized, single-dose, cross-over study. We compared profiles with physiological cortisol levels, and modeled an optimal treatment regimen. RESULTS: The key variables in the physiological cortisol profile included: peak 15.5 microg/dl (95% reference range 11.7-20.6), acrophase 0832 h (95% confidence interval 0759-0905), nadir less than 2 microg/dl (95% reference range 1.5-2.5), time of nadir 0018 h (95% confidence interval 2339-0058), and quiescent phase (below the mesor) 1943-0531 h. MR-HC 15 mg demonstrated delayed and sustained release with a mean (sem) maximum observed concentration of 16.6 (1.4) microg/dl at 7.41 (0.57) h after drug. Bioavailability of MR-HC 5, 10, and 15 mg was 100, 79, and 86% that of immediate-release hydrocortisone. Modeling suggested that MR-HC 15-20 mg at 2300 h and 10 mg at 0700 h could reproduce physiological cortisol levels. CONCLUSION: By defining circadian rhythms and using modern formulation technology, it is possible to allow a more physiological circadian replacement of cortisol.
RCT Entities:
CONTEXT: Cortisol has a distinct circadian rhythm regulated by the brain's central pacemaker. Loss of this rhythm is associated with metabolic abnormalities, fatigue, and poor quality of life. Conventional glucocorticoid replacement cannot replicate this rhythm. OBJECTIVES: Our objectives were to define key variables of physiological cortisol rhythm, and by pharmacokinetic modeling test whether modified-release hydrocortisone (MR-HC) can provide circadian cortisol profiles. SETTING: The study was performed at a Clinical Research Facility. DESIGN AND METHODS: Using data from a cross-sectional study in healthy reference subjects (n = 33), we defined parameters for the cortisol rhythm. We then tested MR-HC against immediate-release hydrocortisone in healthy volunteers (n = 28) in an open-label, randomized, single-dose, cross-over study. We compared profiles with physiological cortisol levels, and modeled an optimal treatment regimen. RESULTS: The key variables in the physiological cortisol profile included: peak 15.5 microg/dl (95% reference range 11.7-20.6), acrophase 0832 h (95% confidence interval 0759-0905), nadir less than 2 microg/dl (95% reference range 1.5-2.5), time of nadir 0018 h (95% confidence interval 2339-0058), and quiescent phase (below the mesor) 1943-0531 h. MR-HC 15 mg demonstrated delayed and sustained release with a mean (sem) maximum observed concentration of 16.6 (1.4) microg/dl at 7.41 (0.57) h after drug. Bioavailability of MR-HC 5, 10, and 15 mg was 100, 79, and 86% that of immediate-release hydrocortisone. Modeling suggested that MR-HC 15-20 mg at 2300 h and 10 mg at 0700 h could reproduce physiological cortisol levels. CONCLUSION: By defining circadian rhythms and using modern formulation technology, it is possible to allow a more physiological circadian replacement of cortisol.
Authors: A Balsalobre; S A Brown; L Marcacci; F Tronche; C Kellendonk; H M Reichardt; G Schütz; U Schibler Journal: Science Date: 2000-09-29 Impact factor: 47.728
Authors: J W Tomlinson; N Holden; R K Hills; K Wheatley; R N Clayton; A S Bates; M C Sheppard; P M Stewart Journal: Lancet Date: 2001-02-10 Impact factor: 79.321
Authors: Lalantha Leelarathna; Louise Breen; James K Powrie; Stephen M Thomas; Rustom Guzder; Barbara McGowan; Paul V Carroll Journal: Endocrine Date: 2010-07-03 Impact factor: 3.633
Authors: Timothy E Reddy; Jason Gertz; Gregory E Crawford; Michael J Garabedian; Richard M Myers Journal: Mol Cell Biol Date: 2012-07-16 Impact factor: 4.272
Authors: A M Isidori; G Arnaldi; M Boscaro; A Falorni; C Giordano; R Giordano; R Pivonello; C Pozza; E Sbardella; C Simeoli; C Scaroni; A Lenzi Journal: J Endocrinol Invest Date: 2019-11-26 Impact factor: 4.256