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Monfort A, Cardoso E, Eap CB, Ansermot N, Crettol S, Fischer Fumeaux CJ, Graz MB, Harari MM, Weisskopf E, Gandia P, Allegaert K, Annaert P, Nordeng H, Hascoët JM, Claris O, Epiney M, Ferreira E, Leclair G, Csajka C, Panchaud A, Guidi M. A population pharmacokinetic model for sertraline in women during the perinatal period-A contribution from the ConcePTION project. Br J Clin Pharmacol 2024. [PMID: 39030897 DOI: 10.1111/bcp.16177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 05/17/2024] [Accepted: 06/17/2024] [Indexed: 07/22/2024] Open
Abstract
AIMS Sertraline is frequently prescribed for mental health conditions in both pregnant and breastfeeding women. According to the limited available data, only small amounts of sertraline are transferred into human milk, yet with a large amount of unexplained interindividual variability. This study aimed to develop a population pharmacokinetic (popPK) model to describe the pharmacokinetics of sertraline during the perinatal period and explain interindividual variability. METHODS Pregnant women treated with sertraline were enrolled in the multicenter prospective cohort SSRI-Breast Milk study. A popPK model for sertraline maternal plasma and breast milk concentrations was developed and allowed estimating the milk-to-plasma ratio (MPR). An additional fetal compartment allowed cord blood concentrations to be described. Several covariates were tested for significance. Ultimately, model-based simulations allowed infant drug exposure through placenta and breast milk under various conditions to be predicted. RESULTS Thirty-eight women treated with sertraline were included in the study and provided 89 maternal plasma, 29 cord blood and 107 breast milk samples. Sertraline clearance was reduced by 42% in CYP2C19 poor metabolizers compared to other phenotypes. Doubling milk fat content increased the MPR by 95%. Simulations suggested a median daily infant dosage of 6.9 μg kg-1 after a 50 mg maternal daily dose, representing 0.95% of the weight-adjusted maternal dose. Median cord blood concentrations could range from 3.29 to 33.23 ng mL-1 after maternal daily doses between 25 and 150 mg. CONCLUSIONS Infant exposure to sertraline, influenced by CYP2C19 phenotype and breast milk fat content, remains low, providing reassurance regarding the use of sertraline during pregnancy and breastfeeding.
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Affiliation(s)
- Anaëlle Monfort
- CHU Sainte-Justine, Montréal, QC, Canada
- Faculty of Pharmacy, Université de Montréal, Montréal, QC, Canada
| | - Evelina Cardoso
- Service of Pharmacy, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Chin B Eap
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva and University of Lausanne, Lausanne and Geneva, Switzerland
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Nicolas Ansermot
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Severine Crettol
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Céline J Fischer Fumeaux
- Clinic of Neonatology, Department Mother-Woman-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Myriam Bickle Graz
- Clinic of Neonatology, Department Mother-Woman-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Mathilde Morisod Harari
- Division of Child and Adolescent Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Etienne Weisskopf
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Peggy Gandia
- Laboratory of Pharmacokinetics and Toxicology, Purpan Hospital, University Hospital of Toulouse, Toulouse, France
| | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
- Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands
| | - Pieter Annaert
- Drug Delivery and Disposition Lab, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Hedvig Nordeng
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Jean-Michel Hascoët
- Department of Neonatology, Maternité Régionale, Université de Lorraine, Nancy, France
| | - Olivier Claris
- Department of Neonatology, Hospices Civils de Lyon, Lyon, France
- Claude Bernard University, Lyon, France
| | - Manuella Epiney
- Department of Women, Child and Adolescent, Geneva University Hospital, Geneva, Switzerland
| | - Ema Ferreira
- CHU Sainte-Justine, Montréal, QC, Canada
- Faculty of Pharmacy, Université de Montréal, Montréal, QC, Canada
| | - Grégoire Leclair
- Faculty of Pharmacy, Université de Montréal, Montréal, QC, Canada
| | - Chantal Csajka
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva and University of Lausanne, Lausanne and Geneva, Switzerland
| | - Alice Panchaud
- Service of Pharmacy, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Monia Guidi
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva and University of Lausanne, Lausanne and Geneva, Switzerland
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Hart XM, Spangemacher M, Defert J, Uchida H, Gründer G. Update Lessons from PET Imaging Part II: A Systematic Critical Review on Therapeutic Plasma Concentrations of Antidepressants. Ther Drug Monit 2024; 46:155-169. [PMID: 38287888 DOI: 10.1097/ftd.0000000000001142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/29/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Compared with antipsychotics, the relationship between antidepressant blood (plasma or serum) concentrations and target engagement is less well-established. METHODS We have discussed the literature on the relationship between plasma concentrations of antidepressant drugs and their target occupancy. Antidepressants reviewed in this work are citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, sertraline, venlafaxine, duloxetine, milnacipran, tricyclic antidepressants (amitriptyline, nortriptyline, and clomipramine), bupropion, tranylcypromine, moclobemide, and vortioxetine. Four electronic databases were systematically searched. RESULTS We included 32 articles published 1996-2022. A strong relationship between serotonin transporter (SERT) occupancy and drug concentration is well established for selective serotonin reuptake inhibitors. Lower limits of recommended therapeutic reference ranges largely corroborate with the findings from positron emission tomography studies (80% SERT occupancy). Only a few novel studies have investigated alternative targets, that is, norepinephrine transporters (NETs), dopamine transporters (DATs), or monoamine oxidase A (MAO-A). For certain classes of drugs, positron emission tomography study data are inconclusive. Low DAT occupancy after bupropion treatment speculates its discussed mechanism of action. For MAO inhibitors, a correlation between drug concentration and MAO-A occupancy could not be established. CONCLUSIONS Neuroimaging studies are critical in TDM-guided therapy for certain antidepressants, whereas for bupropion and MAO inhibitors, the available evidence offers no further insight. Evidence for selective serotonin reuptake inhibitors is strong and justifies a titration toward suggested ranges. For SNRIs, duloxetine, and venlafaxine, NETs are sufficiently occupied, well above the SERT efficacy threshold. For these drugs, a titration toward higher concentrations (within the recommended range) should be considered in case of no response at lower concentrations.
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Affiliation(s)
- Xenia M Hart
- Department of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; and
| | - Moritz Spangemacher
- Department of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Julie Defert
- Department of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; and
| | - Gerhard Gründer
- Department of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Scherf-Clavel M, Baumann P, Hart XM, Schneider H, Schoretsanitis G, Steimer W, Zernig G, Zurek G. Behind the Curtain: Therapeutic Drug Monitoring of Psychotropic Drugs from a Laboratory Analytical Perspective. Ther Drug Monit 2024; 46:143-154. [PMID: 36941240 DOI: 10.1097/ftd.0000000000001092] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
PURPOSE Therapeutic drug monitoring (TDM) is a well-established tool for guiding psychopharmacotherapy and improving patient care. Despite their established roles in the prescription of psychotropic drugs, the "behind the curtain" processes of TDM requests are invariably obscure to clinicians, and literature addressing this topic is scarce. METHODS In the present narrative review, we provide a comprehensive overview of the various steps, starting from requesting TDM to interpreting TDM findings, in routine clinical practice. Our goal was to improve clinicians' insights into the numerous factors that may explain the variations in TDM findings due to methodological issues. RESULTS We discussed challenges throughout the TDM process, starting from the analyte and its major variation forms, through sampling procedures and pre-analytical conditions, time of blood sampling, sample matrices, and collection tubes, to analytical methods, their advantages and shortcomings, and the applied quality procedures. Additionally, we critically reviewed the current and future advances in the TDM of psychotropic drugs. CONCLUSIONS The "behind the curtain" processes enabling TDM involve a multidisciplinary team, which faces numerous challenges in clinical routine. A better understanding of these processes will allow clinicians to join the efforts for achieving higher-quality TDM findings, which will in turn improve treatment effectiveness and safety outcomes of psychotropic agents.
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Affiliation(s)
- Maike Scherf-Clavel
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
| | - Pierre Baumann
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- German Society for Clinical Chemistry and Laboratory Medicine e. V. (DGKL), Section Therapeutic Drug Monitoring and Clinical Toxicology, Berlin/Bonn, Germany
| | - Xenia M Hart
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Department of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Heike Schneider
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Institute of Clinical Chemistry and Pathobiochemistry, Technical University Munich, Munich, Germany
- German Society for Clinical Chemistry and Laboratory Medicine e. V. (DGKL), Section Therapeutic Drug Monitoring and Clinical Toxicology, Berlin/Bonn
- INSTAND e.V. Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany
- German Society for Clinical Chemistry and Laboratory Medicine e. V. (DGKL), Section Therapeutic Drug Monitoring and Clinical Toxicology, Berlin/Bonn, Germany
| | - Georgios Schoretsanitis
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York
- Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Werner Steimer
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Institute of Clinical Chemistry and Pathobiochemistry, Technical University Munich, Munich, Germany
- German Society for Clinical Chemistry and Laboratory Medicine e. V. (DGKL), Section Therapeutic Drug Monitoring and Clinical Toxicology, Berlin/Bonn
| | - Gerald Zernig
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Department of Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
- Private Practice for Psychotherapy and Court-certified Expert Witness, Hall in Tirol, Austria; and
| | - Gabriela Zurek
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) Work Group on "Therapeutic Drug Monitoring" (Chair: Prof. Dr Med. Dipl.-Psych. Stefan Unterecker, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Germany)
- Medical Laboratory Bremen, Bremen, Germany
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Lense XM, Hiemke C, Funk CSM, Havemann-Reinecke U, Hefner G, Menke A, Mössner R, Riemer TG, Scherf-Clavel M, Schoretsanitis G, Gründer G, Hart XM. Venlafaxine's therapeutic reference range in the treatment of depression revised: a systematic review and meta-analysis. Psychopharmacology (Berl) 2024; 241:275-289. [PMID: 37857898 PMCID: PMC10806172 DOI: 10.1007/s00213-023-06484-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/10/2023] [Indexed: 10/21/2023]
Abstract
INTRODUCTION The selective serotonin and norepinephrine reuptake inhibitor venlafaxine is among the most prescribed antidepressant drugs worldwide and, according to guidelines, its dose titration should be guided by drug-level monitoring of its active moiety (AM) which consists of venlafaxine (VEN) plus active metabolite O-desmethylvenlafaxine (ODV). This indication of therapeutic drug monitoring (TDM), however, assumes a clear concentration/effect relationship for a drug, which for VEN has not been systematically explored yet. OBJECTIVES We performed a systematic review and meta-analysis to investigate the relationship between blood levels, efficacy, and adverse reactions in order to suggest an optimal target concentration range for VEN oral formulations for the treatment of depression. METHODS Four databases (MEDLINE (PubMed), PsycINFO, Web of Science Core Collection, and Cochrane Library) were systematically searched in March 2022 for relevant articles according to a previously published protocol. Reviewers independently screened references and performed data extraction and critical appraisal. RESULTS High-quality randomized controlled trials investigating concentration/efficacy relationships and studies using a placebo lead-in phase were not found. Sixty-eight articles, consisting mostly of naturalistic TDM studies or small noncontrolled studies, met the eligibility criteria. Of them, five cohort studies reported a positive correlation between blood levels and antidepressant effects after VEN treatment. Our meta-analyses showed (i) higher AM and (ii) higher ODV concentrations in patients responding to VEN treatment when compared to non-responders (n = 360, k = 5). AM concentration-dependent occurrence of tremor was reported in one study. We found a linear relationship between daily dose and AM concentration within guideline recommended doses (75-225 mg/day). The population-based concentration ranges (25-75% interquartile) among 11 studies (n = 3200) using flexible dosing were (i) 225-450 ng/ml for the AM and (ii) 144-302 ng/ml for ODV. One PET study reported an occupancy of 80% serotonin transporters for ODV serum levels above 85 ng/ml. Based on our findings, we propose a therapeutic reference range for AM of 140-600 ng/ml. CONCLUSION VEN TDM within a range of 140 to 600 ng/ml (AM) will increase the probability of response in nonresponders. A titration within the proposed reference range is recommended in case of non-response at lower drug concentrations as a consequence of VEN's dual mechanism of action via combined serotonin and norepinephrine reuptake inhibition. Drug titration towards higher concentrations will, however, increase the risk for ADRs, in particular with supratherapeutic drug concentrations.
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Affiliation(s)
- X M Lense
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Heidelberg 68159 University J5, Mannheim, Germany.
| | - C Hiemke
- Clinic of Psychiatry and Psychotherapy, University of Mainz, Mainz, Germany
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
| | - C S M Funk
- Institute of Clinical Pharmacology and Toxicology, Charité University, Berlin, Germany
| | - U Havemann-Reinecke
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Clinic of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - G Hefner
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Vitos Clinic of Forensic Psychiatry, Eltville, Germany
| | - A Menke
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Psychosomatic Clinic Medical Park Chiemseeblick, Bernau a. Chiemsee, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - R Mössner
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany
| | - T G Riemer
- Institute of Clinical Pharmacology and Toxicology, Charité University, Berlin, Germany
| | - M Scherf-Clavel
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany
| | - G Schoretsanitis
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Zürich, Zürich, Switzerland
| | - G Gründer
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Heidelberg 68159 University J5, Mannheim, Germany
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
| | - X M Hart
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Heidelberg 68159 University J5, Mannheim, Germany
- Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), Working Group "Therapeutic Drug Monitoring", Munich, Germany
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Gareeva AE, Borodina LS, Pozdnyakov SA, Timerbulatov IF. [Pharmacogenomic and pharmacometabolomic biomarkers of the efficacy and safety of antidepressants: focus on selective serotonin reuptake inhibitors]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:26-35. [PMID: 39072563 DOI: 10.17116/jnevro202412406126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
The efficacy and safety of psychopharmacotherapy with antidepressants is of great medical importance. The search for clinical and biological predictors for choosing the optimal psychopharmacotherapy with antidepressants is actively underway all over the world. Research is mainly devoted to searching for associations of polymorphic gene variants with the efficacy and safety of therapy. However, information about a patient's genetic polymorphism is often insufficient to predict the efficacy and safety of a drug. Modern research on the personalization of pharmacotherapy should include, in addition to genetic, phenotypic biomarkers. This is important because genotyping, for example, cannot accurately predict the actual metabolic activity of an isoenzyme. To personalize therapy, a combination of methods is required to obtain the most complete profile of the efficacy and safety of the drug. Successful treatment of depression remains a challenge, and inter-individual differences in response to antidepressants are common. About half of patients with depressive disorders do not respond to the first attempt at antidepressant therapy. Serious side-effects of antidepressant pharmacotherapy and discontinuation of treatment due to their intolerance are associated with ineffective therapy. This review presents the results of the latest studies of «omics» biomarkers of the efficacy and safety of antidepressants.
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Affiliation(s)
- A E Gareeva
- Institute of Biochemistry and Genetics of the Ufa Federal Research Center of the Russian Academy of Sciences, Ufa, Russia
- Kemerovo State University, Kemerovo, Russia
- Russian Medical Academy of Continuing Professional Education, Moscow, Russia
| | - L S Borodina
- Republican Narcological Dispensary No. 1, Ufa, Russia
| | - S A Pozdnyakov
- Moscow Scientific and Practical Center for Narcology of the Moscow Health Department, Moscow, Russia
| | - I F Timerbulatov
- Russian Medical Academy of Continuing Professional Education, Moscow, Russia
- Usoltsev Central Clinical Psychiatric Hospital, Moscow, Russia
- Russian University of Medicine, Moscow, Russia
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Fang Z, Zhang H, Guo J, Guo J. Overview of therapeutic drug monitoring and clinical practice. Talanta 2024; 266:124996. [PMID: 37562225 DOI: 10.1016/j.talanta.2023.124996] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/29/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023]
Abstract
With the rapid development of clinical pharmacy in China, therapeutic drug monitoring (TDM) has become an essential tool for guiding rational clinical drug use and is widely concerned. TDM is a tool that combines pharmacokinetic and pharmacodynamic knowledge to optimize personalized drug therapy, which can improve treatment outcomes, reduce drug-drug toxicity, and avoid the risk of developing drug resistance. To effectively implement TDM, accurate and sophisticated analytical methods are required. By researching the literature published in recent years, we summarize the types of commonly monitored drugs, therapeutic windows, and clinical assays and track the trends and hot spots of therapeutic drug monitoring. The purpose is to provide guidelines for clinical blood drug concentration monitoring, to implement individualized drug delivery programs better, to ensure the rational use of drugs for patients, and to provide a reference for the group to carry out related topics in the future.
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Affiliation(s)
- Zijun Fang
- University of Southwest Petroleum University, College of Mechanical and Electrical Engineering, Chengdu, China
| | - He Zhang
- University of Southwest Petroleum University, College of Mechanical and Electrical Engineering, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China.
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Vos CF, Ter Hark SE, Schellekens AFA, Spijker J, van der Meij A, Grotenhuis AJ, Mihaescu R, Kievit W, Donders R, Aarnoutse RE, Coenen MJH, Janzing JGE. Effectiveness of Genotype-Specific Tricyclic Antidepressant Dosing in Patients With Major Depressive Disorder: A Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2312443. [PMID: 37155164 PMCID: PMC10167565 DOI: 10.1001/jamanetworkopen.2023.12443] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
Importance Evidence of the clinical benefit of pharmacogenetics-informed treatment (PIT) with antidepressants is still limited. Especially for tricyclic antidepressants (TCAs), pharmacogenetics may be of interest because therapeutic plasma concentrations are well defined, identification of optimal dosing can be time consuming, and treatment is frequently accompanied by adverse effects. Objective To determine whether PIT results in faster attainment of therapeutic TCA plasma concentrations compared with usual treatment in patients with unipolar major depressive disorder (MDD). Design, Setting, and Participants This randomized clinical trial compared PIT with usual treatment among 111 patients at 4 centers in the Netherlands. Patients were treated with the TCAs nortriptyline, clomipramine, or imipramine, with clinical follow-up of 7 weeks. Patients were enrolled from June 1, 2018, to January 1, 2022. At inclusion, patients had unipolar nonpsychotic MDD (with a score of ≥19 on the 17-item Hamilton Rating Scale for Depression [HAMD-17]), were aged 18 to 65 years, and were eligible for TCA treatment. Main exclusion criteria were a bipolar or psychotic disorder, substance use disorder, pregnancy, interacting comedications, and concurrent use of psychotropic medications. Intervention In the PIT group, the initial TCA dosage was based on CYP2D6 and CYP2C19 genotypes. The control group received usual treatment, which comprised the standard initial TCA dosage. Main Outcomes and Measures The primary outcome was days until attainment of a therapeutic TCA plasma concentration. Secondary outcomes were severity of depressive symptoms (measured by HAMD-17 scores) and frequency and severity of adverse effects (measured by Frequency, Intensity, and Burden of Side Effects Rating scores). Results Of 125 patients randomized, 111 (mean [SD] age, 41.7 [13.3] years; 69 [62.2%] female) were included in the analysis; of those, 56 were in the PIT group and 55 were in the control group. The PIT group reached therapeutic concentrations faster than the control group (mean [SD], 17.3 [11.2] vs 22.0 [10.2] days; Kaplan-Meier χ21 = 4.30; P = .04). No significant difference in reduction of depressive symptoms was observed. Linear mixed-model analyses showed that the interaction between group and time differed for the frequency (F6,125 = 4.03; P = .001), severity (F6,114 = 3.10; P = .008), and burden (F6,112 = 2.56; P = .02) of adverse effects, suggesting that adverse effects decreased relatively more for those receiving PIT. Conclusions and Relevance In this randomized clinical trial, PIT resulted in faster attainment of therapeutic TCA concentrations, with potentially fewer and less severe adverse effects. No effect on depressive symptoms was observed. These findings indicate that pharmacogenetics-informed dosing of TCAs can be safely applied and may be useful in personalizing treatment for patients with MDD. Trial Registration ClinicalTrials.gov Identifier: NCT03548675.
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Affiliation(s)
- Cornelis F Vos
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Sophie E Ter Hark
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Arnt F A Schellekens
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Nijmegen Institute for Scientist Practitioners in Addiction, Radboud University, Nijmegen, the Netherlands
| | - Jan Spijker
- Depression Expertise Centre, Pro Persona, Nijmegen, the Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | | | | | - Raluca Mihaescu
- Department of Psychiatry, Catharina Hospital, Eindhoven, the Netherlands
| | - Wietske Kievit
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rogier Donders
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marieke J H Coenen
- Department of Clinical Chemistry, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Joost G E Janzing
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
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8
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Darnaud L, Delage C, Daali Y, Trouvin AP, Perrot S, Khoudour N, Merise N, Labat L, Etain B, Bellivier F, Lloret-Linares C, Bloch V, Curis E, Declèves X. Phenotyping Indices of CYP450 and P-Glycoprotein in Human Volunteers and in Patients Treated with Painkillers or Psychotropic Drugs. Pharmaceutics 2023; 15:pharmaceutics15030979. [PMID: 36986840 PMCID: PMC10054647 DOI: 10.3390/pharmaceutics15030979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/02/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Drug-metabolizing enzymes and drug transporters are key determinants of drug pharmacokinetics and response. The cocktail-based cytochrome P450 (CYP) and drug transporter phenotyping approach consists in the administration of multiple CYP or transporter-specific probe drugs to determine their activities simultaneously. Several drug cocktails have been developed over the past two decades in order to assess CYP450 activity in human subjects. However, phenotyping indices were mostly established for healthy volunteers. In this study, we first performed a literature review of 27 clinical pharmacokinetic studies using drug phenotypic cocktails in order to determine 95%,95% tolerance intervals of phenotyping indices in healthy volunteers. Then, we applied these phenotypic indices to 46 phenotypic assessments processed in patients having therapeutic issues when treated with painkillers or psychotropic drugs. Patients were given the complete phenotypic cocktail in order to explore the phenotypic activity of CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A, and P-glycoprotein (P-gp). P-gp activity was evaluated by determining AUC0-6h for plasma concentrations over time of fexofenadine, a well-known substrate of P-gp. CYP metabolic activities were assessed by measuring the CYP-specific metabolite/parent drug probe plasma concentrations, yielding single-point metabolic ratios at 2 h, 3 h, and 6 h or AUC0-6h ratio after oral administration of the cocktail. The amplitude of phenotyping indices observed in our patients was much wider than those observed in the literature for healthy volunteers. Our study helps define the range of phenotyping indices with "normal" activities in human volunteers and allows classification of patients for further clinical studies regarding CYP and P-gp activities.
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Affiliation(s)
- Léa Darnaud
- Biologie du Médicament-Toxicologie, AP-HP, Hôpital Cochin, 27 rue du Faubourg St. Jacques, 75679 Paris, France
| | - Clément Delage
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
- Service de Pharmacie, Hôpital Lariboisière-Fernand Widal, AP-HP, 75010 Paris, France
| | - Youssef Daali
- Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
| | | | - Serge Perrot
- Centre de la Douleur, AP-HP, Hôpital Cochin, 75679 Paris, France
| | - Nihel Khoudour
- Biologie du Médicament-Toxicologie, AP-HP, Hôpital Cochin, 27 rue du Faubourg St. Jacques, 75679 Paris, France
| | - Nadia Merise
- Biologie du Médicament-Toxicologie, AP-HP, Hôpital Cochin, 27 rue du Faubourg St. Jacques, 75679 Paris, France
| | - Laurence Labat
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
- Laboratoire de Toxicologie, Hôpital Lariboisière, AP-HP, 75010 Paris, France
| | - Bruno Etain
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
- Département de Psychiatrie et de Médecine Addictologique, Hôpital GHU Lariboisière-Fernand Widal, AP-HP, 75010 Paris, France
| | - Frank Bellivier
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
- Département de Psychiatrie et de Médecine Addictologique, Hôpital GHU Lariboisière-Fernand Widal, AP-HP, 75010 Paris, France
| | | | - Vanessa Bloch
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
- Service de Pharmacie, Hôpital Lariboisière-Fernand Widal, AP-HP, 75010 Paris, France
| | - Emmanuel Curis
- Faculté de Pharmacie de Paris, Université Paris Cité, UR 7537 BioSTM, 75006 Paris, France
- Laboratoire d'hématologie, Hôpital Lariboisière, AP-HP, 75010 Paris, France
| | - Xavier Declèves
- Biologie du Médicament-Toxicologie, AP-HP, Hôpital Cochin, 27 rue du Faubourg St. Jacques, 75679 Paris, France
- Faculty of Health, Université Paris Cité, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France
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9
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Mercolini L, Protti M, Mandrioli R. On the benefits of therapeutic drug monitoring for patients undergoing treatment with antipsychotic agents. Int Clin Psychopharmacol 2023; 38:121-122. [PMID: 36719340 DOI: 10.1097/yic.0000000000000446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Laura Mercolini
- Research Group of Pharmaco-Toxicological Analysis (PTA Laboratory), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Bologna
| | - Michele Protti
- Research Group of Pharmaco-Toxicological Analysis (PTA Laboratory), Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum, University of Bologna, Bologna
| | - Roberto Mandrioli
- Department for Life Quality Studies (QuVi), Alma Mater Studiorum, University of Bologna, Rimini Campus, Rimini, Italy
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10
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Pronk AC, van Poelgeest EP, Seppala LJ, Ploegmakers KJ, Stricker BH, Swart KMA, van Dijk SC, Oliai Araghi S, de Groot LCPGM, van Schoor NM, Mathôt RAA, van der Velde N. Are higher antidepressant plasma concentrations associated with fall risk in older antidepressant users? Eur Geriatr Med 2023; 14:89-97. [PMID: 36656485 PMCID: PMC9902404 DOI: 10.1007/s41999-022-00742-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/29/2022] [Indexed: 01/20/2023]
Abstract
PURPOSE Antidepressants are well-established fall-risk increasing drugs (FRIDs) and therefore falls should be considered an important adverse drug event (ADE) of antidepressants. However, not all antidepressant users experience fall incidents and factors associated with increased fall risk among antidepressant users are incompletely understood. Our objective was to explore whether antidepressant plasma concentrations are associated with falls in older antidepressant users. METHODS For this study, we included antidepressant users of the multicenter B-PROOF study. Fall incidents were recorded prospectively using fall calendars. Antidepressant plasma concentrations were analyzed by Liquid chromatography-mass spectrometry (LC-MS) at baseline and at 2 years follow-up. The associations between the observed antidepressant concentration and fall risk were assessed using Cox proportional hazard and logistic regression models and adjusted for potential confounders. RESULTS In total 93 selective serotonin reuptake inhibitor (SSRI) and 41 antidepressant (TCA) users were identified. There was a significant association between baseline TCA plasma concentration and fall risk within users (HR 2.50, 95% CI 1.07-5.87, crude model). In the adjusted model, there were no significant associations between concentrations of SSRIs and fall risk. CONCLUSION There might be an association between plasma concentrations of TCAs and the risk of falling in older users. However, these results needs to be interpreted with caution considering the small sample size and accompanying limitation of confinement to crude analyses. Therefore, these novel findings need to replicated in a larger cohort, preferably including adjustment for potential confounders and more frequent measures of plasma concentrations is needed.
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Affiliation(s)
- A C Pronk
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. .,Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands.
| | - E P van Poelgeest
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands
| | - L J Seppala
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands
| | - K J Ploegmakers
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands
| | - B H Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K M A Swart
- General Practice, Amsterdam UMC location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
| | - S C van Dijk
- Department of Geriatrics, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
| | - S Oliai Araghi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - L C P G M de Groot
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - N M van Schoor
- Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands.,Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, Netherlands
| | - R A A Mathôt
- Hospital Pharmacy-Clinical Pharmacology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - N van der Velde
- Internal Medicine, Section of Geriatric Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Aging and Later Life, Amsterdam Public Health, Amsterdam, The Netherlands
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11
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Suhas S, Malo PK, Kumar V, Issac TG, Chithra NK, Bhaskarapillai B, Reddy YCJ, Rao NP. Treatment strategies for serotonin reuptake inhibitor-resistant obsessive-compulsive disorder: A network meta-analysis of randomised controlled trials. World J Biol Psychiatry 2023; 24:162-177. [PMID: 35615998 DOI: 10.1080/15622975.2022.2082525] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES Treatment-resistant obsessive-compulsive disorder is a chronic debilitating illness. We conducted a network meta-analysis [NMA] to compare the efficacy of all interventions in SRI-resistant OCD from published Randomised controlled trials [RCT]. METHODS We performed an NMA of RCTs in SRI resistant OCD from all modalities of treatments; pharmacological, psychological, neuromodulation, neurosurgery including deep brain stimulation. The design-by-treatment interaction inconsistency model within the frequentist framework was adopted with a change in Yale-Brown Obsessive-Compulsive Scale score as the primary outcome. We conducted sensitivity analyses excluding studies examining neurosurgical interventions, deep brain stimulation, studies in the paediatric population, and studies from a single geographical region. We also conducted analyses of interventions categorised into treatment groups. RESULTS 55 RCTs examining 19 treatments or placebo involving 2011 participants were included in the NMA. Ondansetron [Standardised mean difference -2.01 (95% CI: -3.19, -0.83)], deep TMS [- 1.95 (-3.25, -0.65)], therapist administered Cognitive Behavioural Therapy [CBT-TA] [-1.46 (-2.93, 0.01)] and aripiprazole [-1.36 (-2.56, -0.17)] were ranked as the best four treatments on using the Surface Under the Cumulative Ranking [SUCRA] percentage values (85.4%, 83.2%, 80.3%, 67.9% respectively). While all four interventions had large effect sizes, CBT[TA] narrowly missed statistical significance in our analysis. In sensitivity analyses, deep TMS was ranked as the best treatment strategy for SRI-resistant OCD. The small number of subjects in individual studies, higher confidence interval limits, and wider prediction interval for most agents warrant a cautious interpretation. CONCLUSIONS Considering the principal analysis and sensitivity analyses together, deep TMS, ondansetron, CBT[TA], and aripiprazole may be considered a first-line intervention for SRI-resistant OCD in adults. OTHER This work was not funded. The NMA has been registered with PROSPERO, [Registration number: CRD42020173589].
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Affiliation(s)
- Satish Suhas
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Palash Kumar Malo
- Department of Biostatistics, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Vijay Kumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Thomas Gregor Issac
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Nellai K Chithra
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Binukumar Bhaskarapillai
- Department of Biostatistics, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
| | - Naren P Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences [NIMHANS], Bangalore, India
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12
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Pennazio F, Brasso C, Villari V, Rocca P. Current Status of Therapeutic Drug Monitoring in Mental Health Treatment: A Review. Pharmaceutics 2022; 14:pharmaceutics14122674. [PMID: 36559168 PMCID: PMC9783500 DOI: 10.3390/pharmaceutics14122674] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022] Open
Abstract
Therapeutic drug monitoring (TDM) receives growing interest in different psychiatric clinical settings (emergency, inpatient, and outpatient services). Despite its usefulness, TDM remains underemployed in mental health. This is partly due to the need for evidence about the relationship between drug serum concentration and efficacy and tolerability, both in the general population and even more in subpopulations with atypical pharmacokinetics. This work aims at reviewing the scientific literature published after 2017, when the most recent guidelines about the use of TDM in mental health were written. We found 164 pertinent records that we included in the review. Some promising studies highlighted the possibility of correlating early drug serum concentration and clinical efficacy and safety, especially for antipsychotics, potentially enabling clinicians to make decisions on early laboratory findings and not proceeding by trial and error. About populations with pharmacokinetic peculiarities, the latest studies confirmed very common alterations in drug blood levels in pregnant women, generally with a progressive decrease over pregnancy and a very relevant dose-adjusted concentration increase in the elderly. For adolescents also, several drugs result in having different dose-related concentration values compared to adults. These findings stress the recommendation to use TDM in these populations to ensure a safe and effective treatment. Moreover, the integration of TDM with pharmacogenetic analyses may allow clinicians to adopt precise treatments, addressing therapy on an individual pharmacometabolic basis. Mini-invasive TDM procedures that may be easily performed at home or in a point-of-care are very promising and may represent a turning point toward an extensive real-world TDM application. Although the highlighted recent evidence, research efforts have to be carried on: further studies, especially prospective and fixed-dose, are needed to replicate present findings and provide clearer knowledge on relationships between dose, serum concentration, and efficacy/safety.
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Affiliation(s)
- Filippo Pennazio
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
| | - Claudio Brasso
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
- Correspondence:
| | - Vincenzo Villari
- Psychiatric Emergency Service, Department of Neuroscience and Mental Health, A.O.U. “Città della Salute e della Scienza di Torino”, 10126 Turin, Italy
| | - Paola Rocca
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
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13
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Cytochromes P450 and P-Glycoprotein Phenotypic Assessment to Optimize Psychotropic Pharmacotherapy: A Retrospective Analysis of Four Years of Practice in Psychiatry. J Pers Med 2022; 12:jpm12111869. [PMID: 36579580 PMCID: PMC9693601 DOI: 10.3390/jpm12111869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/24/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
Abstract
Altered cytochromes P450 enzymes (CYP) and P-glycoprotein transporter (P-gp) activity may explain variabilities in drug response. In this study, we analyzed four years of phenotypic assessments of CYP/P-gp activities to optimize pharmacotherapy in psychiatry. A low-dose probe cocktail was administered to evaluate CYP1A2, 2B6, 2D6, 2C9, 2C19, 3A4, and P-gp activities using the probe/metabolite concentration ratio in blood or the AUC. A therapeutic adjustment was suggested depending on the phenotyping results. From January 2017 to June 2021, we performed 32 phenotypings, 10 for adverse drug reaction, 6 for non-response, and 16 for both reasons. Depending on the CYP/P-gp evaluated, only 23% to 56% of patients had normal activity. Activity was decreased in up to 57% and increased in up to 60% of cases, depending on the CYP/P-gp evaluated. In 11/32 cases (34%), the therapeutic problem was attributable to the patient's metabolic profile. In 10/32 cases (31%), phenotyping excluded the metabolic profile as the cause of the therapeutic problem. For all ten individuals for which we had follow-up information, phenotyping allowed us to clearly state or clearly exclude the metabolic profile as a possible cause of therapeutic failure. Among them, seven showed a clinical improvement after dosage adaptation, or drug or pharmacological class switching. Our study confirmed the interest of CYP and P-gp phenotyping for therapeutic optimization in psychiatry.
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14
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Masi G. Controversies In The Pharmacotherapy Of Adolescent Depression. Curr Pharm Des 2022; 28:1975-1984. [PMID: 35619257 DOI: 10.2174/1381612828666220526150153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/08/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Although fluoxetine and, in the USA, escitalopram are approved for depression in adolescence, substantial concern surrounds antidepressant use in youth. Major controversies regarding efficacy and safety (increased suicidality). INTRODUCTION The cathegory of depression is very broad and overinclusive, in terms of etiology, role of psychosocial adversities severity, episodicity, presentation, relationship with bipolarity. This heterogeneity, not fully controlled considered in Randomized Controlled Trials (RCTs), may account for the disappointing results on both efficacy and safety. METHOD Based on the available literature, we will address the following topics: a) controversies regarding the definition of depression as a unique homogeneous condition with a unique type of pharmacological treatment; b) controversies about the interpretation of data from Randomized Controlled Trials (RCTs) on the efficacy of pharmacological treatments in adolescent depression; c) the interpretation of data regarding the safety of antidepressant treatment in adolescent depression, particularly in terms of increased suicidal risk. RESULTS According to RCTs, antidepressants are minimally to moderately more effective than placebo, principally based on very high placebo responses, and only fluoxetine showed more evidence of efficacy. These differences in meta-analyses are sometimes statistically, but not clinically significant. Depression is a heterogeneous condition in terms of etiology, role of psychosocial adversities severity, episodicity, presentation, relationship with bipolarity. This heterogeneity may partly explain the low drug-placebo difference and the high placebo response (possibly related to a high level of natural recovery of the adolescent depression). In the National Institute of Mental Health (NIMH)-funded studies, including a lower number of study sites and more reliable enrollment procedures, lower placebo response rates and greater group differences between medication and placebo were found. Robust evidence supports an increased risk of emergent suicidality after starting antidepressants. A clear age effect on suicidal risk after antidepressants is supported by a comprehensive meta-analysis, showing that suicidal risk increased with decreasing age, being markedly greater in subjects aged between 18 and 25 years. However, the term suicidality is too broad, as it includes suicidal ideation, suicidal attempts, and completed suicide, with a hugely wide range of severity and pervasiveness. If emergent suicidality should be actively and carefully explored, empirical evidence, albeit weak, suggests that combined pharmacotherapy (antidepressant and/or lithium) associated with psychotherapy may be helpful in reducing pretreatment suicidal ideation and suicidal risk. DISCUSSION Moderate to severe depression should be treated with psychotherapy and/or fluoxetine, the best-supported medication, and treatment-resistant adolescents should always receive combined treatment with psychotherapy. Suicidal ideation, particularly with a plan, should be actively explored before starting an antidepressant, as a reason for the closest monitoring. Emergent suicidality after starting antidepressants, as well as antidepressant-related activation, should also be closely monitored and may lead to antidepressant discontinuation. Although no response to pharmacotherapy and psychotherapy may occur in up to 40% of depressed adolescents, possible predictors or mediators of poorer response in adolescents are uncertain, and only a few studies support possible treatment strategies. Finally, studies exploring the efficacy of antidepressants in specific depression subtypes, i.e., based on prevalent psychopathological dimensions (apathy, withdrawal, impulsivity), are warranted.
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Affiliation(s)
- Gabriele Masi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Calambrone, Pisa, Italy
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15
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Zampatti S, Fabrizio C, Ragazzo M, Campoli G, Caputo V, Strafella C, Pellicano C, Cascella R, Spalletta G, Petrosini L, Caltagirone C, Termine A, Giardina E. Precision Medicine into Clinical Practice: A Web-Based Tool Enables Real-Time Pharmacogenetic Assessment of Tailored Treatments in Psychiatric Disorders. J Pers Med 2021; 11:jpm11090851. [PMID: 34575628 PMCID: PMC8471120 DOI: 10.3390/jpm11090851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 12/16/2022] Open
Abstract
The management of neuropsychiatric disorders involves different pharmacological treatments. In order to perform efficacious drug treatments, the metabolism of CYP genes can help to foresee potential drug–drug interactions. The NeuroPGx software is an open-source web-based tool for genotype/diplotype/phenotype interpretation for neuropharmacogenomic purposes. The software provides information about: (i) the genotypes of evaluated SNPs (single nucleotide polymorphisms); (ii) the main diplotypes in CYP genes and corresponding metabolization phenotypes; (iii) the list of neuropsychiatric drugs with recommended dosage adjustment (according to CPIC and DPWG guidelines); (iv) the list of possible (rare) diplotypes and corresponding metabolization phenotypes. The combined application of NeuroPGx software to the OpenArray technology results in an easy, quick, and highly automated device ready to be used in routine clinical practice.
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Affiliation(s)
- Stefania Zampatti
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Carlo Fabrizio
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Michele Ragazzo
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
| | - Giulia Campoli
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Valerio Caputo
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
| | - Claudia Strafella
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Clelia Pellicano
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (C.P.); (G.S.)
| | - Raffaella Cascella
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
- Department of Biomedical Sciences, Catholic University Our Lady of Good Counsel, 1000 Tirana, Albania
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (C.P.); (G.S.)
| | - Laura Petrosini
- Department of Experimental Neuroscience, IRCCS Fondazione Santa Lucia, 00143 Rome, Italy;
| | - Carlo Caltagirone
- Department of Clinical and Behavioral Neurology, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy;
| | - Andrea Termine
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
| | - Emiliano Giardina
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy; (S.Z.); (C.F.); (G.C.); (C.S.); (R.C.); (A.T.)
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; (M.R.); (V.C.)
- Correspondence:
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16
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de Leon J. Commentary on 'tools for optimizing pharmacotherapy in psychiatry (therapeutic drug monitoring, molecular brain imaging and pharmacogenetic tests): focus on antidepressants'. Pharmacogenomics 2021; 22:805-808. [PMID: 34344160 DOI: 10.2217/pgs-2021-0090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Jose de Leon
- Mental Health Research Center, Eastern State Hospital, Lexington, KY 40511, USA.,Psychiatry & Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Granada, Spain.,Biomedical Research Centre in Mental Health Net (CIBERSAM), Santiago Apóstol Hospital, University of the Basque Country, Vitoria, Spain
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17
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Hart XM, Eichentopf L, Lense X, Riemer T, Wesner K, Hiemke C, Gründer G. Therapeutic Reference Ranges for Psychotropic Drugs: A Protocol for Systematic Reviews. Front Psychiatry 2021; 12:787043. [PMID: 34899439 PMCID: PMC8653700 DOI: 10.3389/fpsyt.2021.787043] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 10/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background: For many psychotropic drugs, monitoring of drug concentrations in the blood (Therapeutic Drug Monitoring; TDM) has been proven useful to individualize treatments and optimize drug effects. Clinicians hereby compare individual drug concentrations to population-based reference ranges for a titration of prescribed doses. Thus, established reference ranges are pre-requisite for TDM. For psychotropic drugs, guideline-based ranges are mostly expert recommendations derived from a conglomerate of cohort and cross-sectional studies. A systematic approach for identifying therapeutic reference ranges has not been published yet. This paper describes how to search, evaluate and grade the available literature and validate published therapeutic reference ranges for psychotropic drugs. Methods/Results: Following PRISMA guidelines, relevant databases have to be systematically searched using search terms for the specific psychotropic drug, blood concentrations, drug monitoring, positron emission tomography (PET) and single photon emission computed tomography (SPECT). The search should be restricted to humans, and diagnoses should be pre-specified. Therapeutic references ranges will not only base upon studies that report blood concentrations in relation to clinical effects, but will also include implications from neuroimaging studies on target engagement. Furthermore, studies reporting concentrations in representative patient populations are used to support identified ranges. Each range will be assigned a level of underlying evidence according to a systematic grading system. Discussion: Following this protocol allows a comprehensive overview of TDM literature that supports a certain reference range for a psychotropic drug. The assigned level of evidence reflects the validity of a reported range rather than experts' opinions.
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Affiliation(s)
- Xenia M Hart
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Luzie Eichentopf
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Xenija Lense
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Thomas Riemer
- Berlin Institute of Health, Institute of Clinical Pharmacology and Toxicology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Katja Wesner
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Christoph Hiemke
- Department of Psychiatry and Psychotherapy, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center of Mainz, Mainz, Germany
| | - Gerhard Gründer
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
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