Literature DB >> 28086010

Threshold of Dopamine D2/3 Receptor Occupancy for Hyperprolactinemia in Older Patients With Schizophrenia.

Yusuke Iwata1,2,3, Shinichiro Nakajima1,2,3,4, Fernando Caravaggio1,5, Takefumi Suzuki3, Hiroyuki Uchida3,4, Eric Plitman1,5, Jun Ku Chung1,5, Wanna Mar1, Philip Gerretsen1,2,4,6, Bruce G Pollock2,4,6, Benoit H Mulsant2,4,6, Tarek K Rajji2,4,6, David C Mamo7, Ariel Graff-Guerrero8,1,2,4,6.   

Abstract

OBJECTIVE: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopamine D2/3 receptor (D2/3R) occupancy for hyperprolactinemia has not been investigated in older patients with schizophrenia. Data were taken from a positron emission tomography (PET) study conducted between August 2007 and August 2015. The present post hoc study included 42 clinically stable outpatients with schizophrenia (DSM-IV) (mean ± SD age = 60.2 ± 6.7 years) taking olanzapine or risperidone. Subjects underwent [¹¹C]-raclopride PET scans to measure D2/3R occupancy before and after reducing their dose of antipsychotic by up to 40%. Blood samples were collected before each PET scan to measure prolactin levels.
METHODS: The relationship between prolactin levels and D2/3R occupancy was examined using stepwise linear regression analyses. The D2/3R occupancy thresholds for hyperprolactinemia were explored using Fisher exact tests.
RESULTS: Prolactin levels decreased following dose reduction (mean ± SD = 24.1 ± 30.2 ng/mL to 17.2 ± 15.1 ng/mL; P < .001). Prolactin levels were associated with female gender (β = .32, P = .006, vs male), antipsychotics (β = .23, P = .02, risperidone vs olanzapine), and D2/3R occupancy (β = .23, P = .04). Those with D2/3R occupancy of 66% or higher were more likely to have hyperprolactinemia than those with D2/3R occupancy lower than 66% (P = .03). Sensitivity, specificity, positive predictive value, and negative predictive value of this threshold were 0.44, 0.81, 0.78, and 0.48, respectively. We identified a D2/3R occupancy threshold for hyperprolactinemia of 66% in older patients with schizophrenia, which is lower than that reported in younger patients (73%) by other researchers.
CONCLUSIONS: Our results suggest a higher sensitivity to antipsychotics in older patients. Prolactin levels could assist in the determination of appropriate antipsychotic dosing to minimize adverse effects. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00716755. © Copyright 2016 Physicians Postgraduate Press, Inc.

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Year:  2016        PMID: 28086010     DOI: 10.4088/JCP.15m10538

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  5 in total

1.  Amisulpride: Real-World Evidence of Dose Adaptation and Effect on Prolactin Concentrations and Body Weight Gain by Pharmacokinetic/Pharmacodynamic Analyses.

Authors:  Anaïs Glatard; Monia Guidi; Aurélie Delacrétaz; Céline Dubath; Claire Grosu; Nermine Laaboub; Armin von Gunten; Philippe Conus; Chantal Csajka; Chin B Eap
Journal:  Clin Pharmacokinet       Date:  2020-03       Impact factor: 6.447

2.  What to Do About Missed Doses? A Retrospective Study of Olanzapine in the Elderly.

Authors:  Tao Xiao; Zhanzhang Wang; Guanlie Li; Shanqing Huang; Xiuqing Zhu; Shujing Liu; Xiaolin Li; Jinqing Hu; Dewei Shang; Yuguan Wen
Journal:  Drug Des Devel Ther       Date:  2021-08-04       Impact factor: 4.162

3.  MAP Bayesian modelling combining striatal dopamine receptor occupancy and plasma concentrations to optimize antipsychotic dose regimens in individual patients.

Authors:  Mohamed Ismail; Thomas Straubinger; Hiroyuki Uchida; Ariel Graff-Guerrero; Shinichiro Nakajima; Takefumi Suzuki; Fernando Caravaggio; Philip Gerretsen; David Mamo; Benoit H Mulsant; Bruce G Pollock; Robert Bies
Journal:  Br J Clin Pharmacol       Date:  2022-03-01       Impact factor: 3.716

4.  Effect of Peony-Glycyrrhiza Decoction on Amisulpride-Induced Hyperprolactinemia in Women with Schizophrenia: A Preliminary Study.

Authors:  Ping Yang; Liang Li; Dong Yang; Chaoying Wang; Hongli Peng; Huiyong Huang; Xuejun Liu
Journal:  Evid Based Complement Alternat Med       Date:  2017-11-26       Impact factor: 2.629

5.  Physiologically Based Modeling Approach to Predict Dopamine D2 Receptor Occupancy of Antipsychotics in Brain: Translation From Rat to Human.

Authors:  Yin Cheong Wong; Maddalena Centanni; Elizabeth C M de Lange
Journal:  J Clin Pharmacol       Date:  2019-01-24       Impact factor: 3.126

  5 in total

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