2017
DOI: 10.1111/bcp.13466
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Results and evaluation of a first‐in‐human study of RG7342, an mGlu5 positive allosteric modulator, utilizing Bayesian adaptive methods

Abstract: Single oral doses of RG7342 were generally tolerated up to 0.6 mg under fasting and 0.9 mg under fed conditions in healthy subjects. Bayesian adaptive methods describing the probability of DLEs were applied effectively to support dose escalation. MTDs (fasting, fed) were associated with a C of 6.5 ng ml . The development of RG7342 was discontinued owing to the potential challenges associated with a long half-life in context of the observed adverse events.

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Cited by 11 publications
(25 citation statements)
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“…The modified CRM (mCRM) with control for the probability of over‐dosing was used for the assessment of safety/tolerability. This part of the Bayesian framework has been described in detail previously . In addition, the mCRM was further modified to allow for the estimation of PD parameters by means of the following maximum effect (E max ) model with an additive error: yi=Emax×doseivED50v+doseiv+εi where ν denotes the Hill parameter, the residual errors ε i are normally distributed around 0 with variance of σ 2 s .…”
Section: Methodsmentioning
confidence: 99%
“…The modified CRM (mCRM) with control for the probability of over‐dosing was used for the assessment of safety/tolerability. This part of the Bayesian framework has been described in detail previously . In addition, the mCRM was further modified to allow for the estimation of PD parameters by means of the following maximum effect (E max ) model with an additive error: yi=Emax×doseivED50v+doseiv+εi where ν denotes the Hill parameter, the residual errors ε i are normally distributed around 0 with variance of σ 2 s .…”
Section: Methodsmentioning
confidence: 99%
“…As for mGlu 5 agonists, a PAM of mGlu 5 , VU0409551, has shown robust cognitive and behavioral effects in several animal models of schizophrenia . Another Phase II trial has recently been initiated …”
Section: Treatment Based On Glutamate Hypothesismentioning
confidence: 99%
“…wherein d * is an arbitrary fixed reference dose to improve numerical stability, and log denotes the natural logarithm . Assuming a distribution for the parameters α and β as being bivariate normal with mean μ and covariance matrix Σ will define a typically wide range of a priori possible relationships between the human dose and the EA rate as illustrated in Figure .…”
Section: The Continual Reassessment Methodsmentioning
confidence: 99%
“…Under these assumptions, we chose a logistic regression model for the relationship between a dose d and the likelihood p for an individual to experience an EA at dose d via the equation wherein d* is an arbitrary fixed reference dose to improve numerical stability, and log denotes the natural logarithm. 32 Assuming a distribution for the parameters α and β as being bivariate normal log (p∕(1 − p)) = α+β ⋅ log (d∕d * ), Derived from the minimally informative prior distribution curve; for doses of 450 mg and 1,750mg, a p(EA > 5%) of 45.3% and 91.8%, respectively, was estimated. c p(EA > 5%) for 225 mg includes the scenario that 12 subjects were enrolled into the preceding 150 mg dose step and no EAs had been noted.…”
Section: Mathematical Conceptmentioning
confidence: 99%