4.7 Article

Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study

Journal

TRANSLATIONAL PSYCHIATRY
Volume 12, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1038/s41398-022-02124-4

Keywords

-

Categories

Ask authors/readers for more resources

Cytochrome P450 drug-metabolizing enzymes, specifically CYP2C19 and CYP2D6 gene variants, have an impact on antidepressant outcomes. Poor metabolizers of CYP2C19 and CYP2D6 show less symptom improvement during treatment with escitalopram alone and are more likely to experience central nervous system side effects when taking escitalopram alone or in combination with aripiprazole.
Cytochrome P450 drug-metabolizing enzymes may contribute to interindividual differences in antidepressant outcomes. We investigated the effects of CYP2C19 and CYP2D6 gene variants on response, tolerability, and serum concentrations. Patients (N=178) were treated with escitalopram (ESC) from weeks 0-8 (Phase I), and at week 8, either continued ESC if they were responders or were augmented with aripiprazole (ARI) if they were non-responders (<50% reduction in Montgomery-angstrom sberg Depression Rating Scale from baseline) for weeks 8-16 (Phase II). Our results showed that amongst patients on ESC-Only, CYP2C19 intermediate and poor metabolizers (IM + PMs), with reduced or null enzyme function, trended towards significantly lower symptom improvement during Phase II compared to normal metabolizers (NMs), which was not observed in ESC + ARI. We further showed that CYP2D6 NMs and IM + PMs had a higher likelihood of reporting a treatment-related central nervous system side effect in ESC-Only and ESC + ARI, respectively. The differences in the findings between ESC-Only and ESC + ARI may be due to the altered pharmacokinetics of ESC by ARI coadministration in ESC + ARI. We provided evidence for this postulation when we showed that in ESC-Only, CYP2C19 and CYP2D6 IM + PMs demonstrated significantly higher ESC concentrations at Weeks 10 and 16 compared to NMs. In contrast, ESC + ARI showed an association with CYP2C19 but not with CYP2D6 metabolizer group. Instead, ESC + ARI showed an association between CYP2D6 metabolizer group and ARI metabolite-to-drug ratio suggesting potential competition between ESC and ARI for CYP2D6. Our findings suggest that dosing based on CYP2C19 and CYP2D6 genotyping could improve safety and outcome in patients on ESC monotherapy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

Response Inhibition and Predicting Response to Pharmacological and Cognitive Behavioral Therapy Treatments for Major Depressive Disorder: A Canadian Biomarker Integration Network for Depression Study

Prabhjot Dhami, Lena C. Quilty, Benjamin Schwartzmann, Rudolf Uher, Timothy A. Allen, Stefan Kloiber, Raymond W. Lam, Glenda MacQueen, Benicio N. Frey, Roumen Milev, Daniel J. Mueller, Stephen C. Strother, Pierre Blier, Claudio N. Soares, Sagar V. Parikh, Gustavo Turecki, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Faranak Farzan

Summary: The neurobiological correlates of response inhibition can predict the response of patients with major depressive disorder (MDD) to pharmacological and cognitive behavioral therapy treatment. The integrity of response inhibition may be crucial for the success of treatment for MDD. Electrophysiological correlates of response inhibition may serve as a general prognostic marker for treatment response in MDD.

BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING (2023)

Review Psychiatry

Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: A Systematic Review and Recommendations of Cannabis use in Bipolar Disorder and Major Depressive Disorder

Smadar V. Tourjman, Gabriella Buck, Didier Jutras-Aswad, Atul Khullar, Shane McInerney, Gayatri Saraf, Jairo V. Pinto, Stephane Potvin, Marie-Josee Poulin, Benicio N. Frey, Sidney H. Kennedy, Raymond W. Lam, Glenda MacQueen, Roumen Milev, Sagar V. Parikh, Arun Ravindran, Roger S. McIntyre, Ayal Schaffer, Valerie H. Taylor, Michael van Ameringen, Lakshmi N. Yatham, Serge Beaulieu

Summary: This task force report examines the association between cannabis use and bipolar disorder, major depressive disorder, and comorbid cannabis use disorder. The results indicate that cannabis use is associated with worsened course and functioning of both mood disorders, particularly in bipolar disorder. However, the treatment of comorbid cannabis use disorder and major depressive disorder did not show significant results.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Review Psychiatry

The Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: Serotonergic Psychedelic Treatments for Major Depressive Disorder

Joshua D. Rosenblat, M. Ishrat Husain, Yena Lee, Roger S. McIntyre, Rodrigo B. Mansur, David Castle, Hilary Offman, Sagar Parikh, Benicio N. Frey, Ayal Schaffer, Kyle T. Greenwaym, Nicolas Garel, Serge Beaulieu, Sidney H. Kennedy, Raymond W. Lam, Roumen Milev, Arun Ravindran, Valerie Tourjman, Michael Van Ameringen, Lakshmi N. Yatham, Valerie Taylor

Summary: There is currently only low-level evidence to support the efficacy and safety of psychedelics for major depressive disorder.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychology, Clinical

Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report

Mehri Sajjadian, Rudolf Uher, Keith Ho, Stefanie Hassel, Roumen Milev, Benicio N. Frey, Faranak Farzan, Pierre Blier, Jane A. Foster, Sagar Parikh, Daniel J. Mueller, Susan Rotzinger, Claudio N. Soares, Gustavo Turecki, Valerie H. Taylor, Raymond W. Lam, Stephen C. Strother, Sidney H. Kennedy

Summary: Predicting treatment outcomes for major depressive disorder can be improved by combining clinical, neuroimaging, and molecular data. Early measurement during treatment can increase precision, but adding more features does not necessarily enhance prediction accuracy.

PSYCHOLOGICAL MEDICINE (2023)

Review Psychiatry

Applications of Speech Analysis in Psychiatry

Katerina Dikaios, Sheri Rempel, Sri Harsha Dumpala, Sageev Oore, Michael Kiefte, Rudolf Uher

Summary: The need for objective measurement in psychiatry has led to research on using speech analysis as an alternative indicator of mental disorders. The findings suggest that speech features can accurately classify and assess the severity of psychiatric illnesses, predict onset, and determine prognosis and treatment outcomes. However, differentiating between types of mental disorders and symptom dimensions remains a challenge.

HARVARD REVIEW OF PSYCHIATRY (2023)

Article Psychiatry

Polygenic Scores and Onset of Major Mood or Psychotic Disorders Among Offspring of Affected Parents

Alyson Zwicker, Janice M. Fullerton, Niamh Mullins, Frances Rice, Danella M. Hafeman, Neeltje E. M. van Haren, Nikita Setiaman, John A. Merranko, Benjamin I. Goldstein, Alessandra G. Ferrera, Emma K. Stapp, Elena de la Serna, Dolores Moreno, Gisela Sugranyes, Sergio Mas Herrero, Gloria Roberts, Claudio Toma, Peter R. Schofield, Howard J. Edenberg, Holly C. Wilcox, Melvin G. McInnis, Victoria Powell, Lukas Propper, Eileen Denovan-Wright, Guy Rouleau, Josefina Castro-Fornieles, Manon H. J. Hillegers, Boris Birmaher, Anita Thapar, Philip B. Mitchell, Cathryn M. Lewis, Martin Alda, John I. Nurnberger, Rudolf Uher

Summary: The authors found that polygenic scores (PGSs) can complement family history to improve identification of risk for major mood and psychotic disorders. PGSs for neuroticism and subjective well-being are significantly associated with the onsets of disorders, and PGSs for psychiatric illness have limited predictive power when family history is known.

AMERICAN JOURNAL OF PSYCHIATRY (2023)

Article Psychiatry

The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 Report

Kate L. Harkness, Trisha Chakrabarty, Sakina J. Rizvi, Raegan Mazurka, Lena Quilty, Rudolf Uher, Roumen V. Milev, Benicio N. Frey, Sagar V. Parikh, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Raymond W. Lam

Summary: This study aims to investigate the differential associations of different types of childhood maltreatment with the response to antidepressant medication, and the role of anhedonia in driving poor response in patients with specific maltreatment histories. The results suggest that the severity of emotional maltreatment perpetrated by the mother is a significant predictor of lower odds of remission at week 16. In contrast, the relationships between paternal-perpetrated emotional maltreatment and physical maltreatment with week 16 remission were mediated through the severity of anhedonia at week 8.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychiatry

Rasch analyses of the Quick Inventory of Depressive Symptomatology Self-Report in neurodegenerative and major depressive disorders

Anthony L. Vaccarino, Sandra E. Black, Susan Gilbert Evans, Benicio N. Frey, Mojib Javadi, Sidney H. Kennedy, Benjamin Lam, Raymond W. Lam, Bianca Lasalandra, Emily Martens, Mario Masellis, Roumen Milev, Sara Mitchell, Douglas P. Munoz, Alana Sparks, Richard H. Swartz, Brian Tan, Rudolf Uher, Kenneth R. Evans

Summary: The study used Rasch Measurement Theory to evaluate the measurement properties of the Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) in neurodegenerative disorders (ND) and major depressive disorder (MDD). The results showed that the QIDS-SR is suitable for assessing and screening depressive symptoms in persons with ND, but there are limitations in differentiating participants at certain severity levels.

FRONTIERS IN PSYCHIATRY (2023)

Article Psychiatry

Influence of CYP2C19, CYP2D6, and ABCB1 Gene Variants and Serum Levels of Escitalopram and Aripiprazole on Treatment-Emergent Sexual Dysfunction: A Canadian Biomarker Integration Network in Depression 1 (CAN-BIND 1) Study

Farhana Islam, Leen Magarbeh, Samar S. M. Elsheikh, Stefan Kloiber, Caroline W. Espinola, Venkat Bhat, Benicio N. Frey, Roumen Milev, Claudio N. Soares, Sagar V. Parikh, Franca Placenza, Stefanie Hassel, Valerie H. Taylor, Francesco Leri, Pierre Blier, Rudolf Uher, Faranak Farzan, Raymond W. Lam, Gustavo Turecki, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Daniel J. Mueller

Summary: Treatment-emergent sexual dysfunction is a common issue in individuals with major depressive disorder on antidepressants. This study found that polymorphisms in genes encoding drug-metabolizing enzymes and the transmembrane efflux pump were associated with changes in sexual function and satisfaction. Specifically, CYP2C19 metabolizer phenotypes were linked to changes in sexual arousal, and higher concentrations of the escitalopram metabolite, S-desmethylcitalopram, were associated with a decline in sexual function and satisfaction in females.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychiatry

Response trajectories during escitalopram treatment of patients with major depressive disorder

John-Jose Nunez, Yang S. Liu, Bo Cao, Benicio N. Frey, Keith Ho, Roumen Milev, Daniel J. Mueller, Susan Rotzinger, Claudio N. Soares, Valerie H. Taylor, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam

Summary: Depression is a complex disorder with a heterogeneous response to treatment. This study used machine learning to cluster patients with depression and found three distinct response patterns. The subjective mood state/anhedonia was identified as the core feature of response to escitalopram, but there were also other patterns related to neurovegetative symptoms, activation, and cognition.

PSYCHIATRY RESEARCH (2023)

Article Psychiatry

Transdiagnostic risk of mental disorders in offspring of affected parents: a meta-analysis of family high-risk and registry studies

Rudolf Uher, Barbara Pavlova, Joaquim Radua, Umberto Provenzani, Sara Najafi, Lydia Fortea, Maria Ortuno, Anna Nazarova, Nader Perroud, Lena Palaniyappan, Katharina Domschke, Samuele Cortese, Paul D. Arnold, Jehannine C. Austin, Michael M. Vanyukov, Myrna M. Weissman, Allan H. Young, Manon H. J. Hillegers, Andrea Danese, Merete Nordentoft, Robin M. Murray, Paolo Fusar-Poli

Summary: The offspring of parents with mental disorders have an increased risk of developing mental disorders themselves, extending beyond the specific disorders present in their parents. This comprehensive meta-analysis provides important insights for targeted prevention and genetic counseling.

WORLD PSYCHIATRY (2023)

Editorial Material Psychiatry

Editorial: Case reports in neuroimaging and stimulation

Simone Battaglia, Andre Schmidt, Stefanie Hassel, Masaru Tanaka

FRONTIERS IN PSYCHIATRY (2023)

Article Psychiatry

Predicting recurrence of major depressive episodes using the Depression Implicit Association Test: A Canadian biomarker integration network in depression (CAN-BIND) report

Katerina Rnic, Joelle Lemoult, Ivan J. Torres, Trisha Chakrabarty, Jane Foster, Benicio N. Frey, Kate L. Harkness, Keith Ho, Qingqin S. Li, Roumen Milev, Lena C. Quilty, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam

Summary: Implicit self-depressed associations (SDAs) may serve as a cognitive biomarker for predicting depression recurrence, as higher baseline SDAs and increasing SDAs over time were found to be associated with shorter time to MDD recurrence among treatment responders.

PSYCHIATRY RESEARCH (2023)

No Data Available