Literature DB >> 18922242

[Predictors of prophylactic response to lithium].

J Rohayem1, J-F Baylé, S Richa.   

Abstract

INTRODUCTION: Since their first utilization in psychiatry as mood stabilizers in the 1940s, lithium salts have been widely studied in the medical literature. The considerable amount of data available to date, supports the use of lithium salts as first-line mood stabilizing agents, with acute antimanic and antidepressant properties and proven efficacy in the long term prevention of manic and depressive relapses. LITERATURE
FINDINGS: Several predictors were reported by different authors in early articles and were confirmed later on by the medical literature. All the psychopathological, environmental, biological, neurophysiologic and genetic predictors known to date are reviewed here. PSYCHOLOGICAL PREDICTORS: Psychopathological predictors of a good response to lithium prophylaxis include: the initial good response to lithium during the first 6-12 months of treatment, considered to date to be the most reliable predictor of a favourable response to lithium; the classical pattern of elated manic episodes; a positive familial history of bipolar disorders, especially those known to be responsive to lithium; the absence of comorbid personality disorders; bipolar type I disorders; melancholic features during depressive episodes; MDI pattern in the illness course and early onset of lithium treatment. In contrast, the following have been confirmed as psychopathological predictors of poor prophylactic lithium response: mixed episodes, considered to be one of the most reliable predictors of poor response to lithium since Kraeplin's description; rapid cycling bipolar disorders; comorbid alcohol and/or drug abuse; mood disorders with incongruent psychotic features; early onset bipolar disorder before the age of 18; discontinuation of lithium treatment; high number of previous affective episodes in the illness course before lithium initiation and DMI pattern. ENVIRONMENTAL PREDICTORS: Among environmental factors, being single was found to be the only predictor of a poor response to lithium treatment in prophylaxis. BIOLOGICAL PREDICTORS: Biological predictors of a good prophylactic response to lithium include a high RBC/plasma-lithium ratio, one of the most controversial predictors of a favourable response to lithium in the literature, a higher platelet serotonin-induced calcium mobilization, and a high rate of red blood cell membrane phospholipids, especially of phosphatidylcholine, and a phospholipid implicated in lithium intracellular transport. Among neurophysiologic predictors of a favourable response to lithium, the following have been reported: brain lithium concentrations above 0.2 mEq/L when measured by 7Li-MRS; decreased cerebral intracellular pH and white matter hyper intensity at (31)P-MRS and a high intensity of loudness dependence auditory-evoked potentials (LDAEP), the latter being one of the best indicators of human cerebral serotoninergic functioning. In contrast, the following have been reported as neurophysiological predictors of a poor lithium response in prophylaxis: epileptiform anomalies with diffuse theta waves on electroencephalography, a predictor of poor response to lithium known since the descriptions of Dalen in 1965 and decreased cerebral phosphocreatine levels at (31)P-MRS, the latter being an indicator of cerebral mitochondrial dysfunction. GENETIC PREDICTORS: Genetic predictors of good response to lithium in prophylaxis include a lower-inositol-monophosphatase (IMPase-2) mRNA expression, IMPase-2 being a key enzyme of the calcium-intracellular-signalling pathway and IMPase-2 gene being studied recently as a candidate gene in bipolar disorder. A higher frequency of phospholipase C isoenzyme gamma1 (PLCG1)-5 repeat allele genes has also been associated with a good response to lithium, PLCG1 being a major enzyme of the phosphatidylinositol second messenger system. Genetic predictors of negative prophylactic lithium response include the homozygotic forms of the short allele of the serotonin transporter gene (5-HTT), the presence of the A/A subtype of tryptophan hydroxylase (TPH) gene and a high frequency of human leukocyte antigens type A3 (HLA-A3), this genotype being associated with cellular membrane anomalies implicated in alteration of lithium intracellular transport. DISCUSSION: The search for new predictors of lithium prophylactic response is currently facing several methodological problems: lack of representativity of the samples of bipolar patients enrolled in research studies, poor reliability of retrospective reconstructions of the course of the bipolar disorder before initiation of lithium treatment, absence of consensus on tools used to assess response to lithium prophylaxis in study designs, difficult access and high costs of most of the laboratory and neuroimaging techniques used in recent studies such as magnetic resonance spectroscopy and LDAEP measures, and problematic evaluation of the impact of treatment on a disorder whose natural intrinsic course is often irregular.

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Year:  2007        PMID: 18922242     DOI: 10.1016/j.encep.2007.05.002

Source DB:  PubMed          Journal:  Encephale        ISSN: 0013-7006            Impact factor:   1.291


  7 in total

1.  Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder.

Authors:  Lakshmi N Yatham; Sidney H Kennedy; Sagar V Parikh; Ayal Schaffer; David J Bond; Benicio N Frey; Verinder Sharma; Benjamin I Goldstein; Soham Rej; Serge Beaulieu; Martin Alda; Glenda MacQueen; Roumen V Milev; Arun Ravindran; Claire O'Donovan; Diane McIntosh; Raymond W Lam; Gustavo Vazquez; Flavio Kapczinski; Roger S McIntyre; Jan Kozicky; Shigenobu Kanba; Beny Lafer; Trisha Suppes; Joseph R Calabrese; Eduard Vieta; Gin Malhi; Robert M Post; Michael Berk
Journal:  Bipolar Disord       Date:  2018-03-14       Impact factor: 6.744

2.  A preliminary study of the neural mechanisms of frustration in pediatric bipolar disorder using magnetoencephalography.

Authors:  Brendan A Rich; Tom Holroyd; Frederick W Carver; Laura M Onelio; Jennifer K Mendoza; Brian R Cornwell; Nathan A Fox; Daniel S Pine; Richard Coppola; Ellen Leibenluft
Journal:  Depress Anxiety       Date:  2010-03       Impact factor: 6.505

3.  Serotonergic dysfunction in patients with bipolar disorder assessed by the loudness dependence of the auditory evoked potential.

Authors:  Kyung-Sang Lee; Young-Min Park; Seung-Hwan Lee
Journal:  Psychiatry Investig       Date:  2012-09-06       Impact factor: 2.505

4.  The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample.

Authors:  Ketil J Oedegaard; Martin Alda; Anit Anand; Ole A Andreassen; Yokesh Balaraman; Wade H Berrettini; Abesh Bhattacharjee; Kristen J Brennand; Katherine E Burdick; Joseph R Calabrese; Cynthia V Calkin; Ana Claasen; William H Coryell; David Craig; Anna DeModena; Mark Frye; Fred H Gage; Keming Gao; Julie Garnham; Elliot Gershon; Petter Jakobsen; Susan G Leckband; Michael J McCarthy; Melvin G McInnis; Adam X Maihofer; Jerome Mertens; Gunnar Morken; Caroline M Nievergelt; John Nurnberger; Son Pham; Helle Schoeyen; Tatyana Shekhtman; Paul D Shilling; Szabolcs Szelinger; Bruce Tarwater; Jun Yao; Peter P Zandi; John R Kelsoe
Journal:  BMC Psychiatry       Date:  2016-05-05       Impact factor: 3.630

Review 5.  Lithium in the treatment of bipolar disorder: pharmacology and pharmacogenetics.

Authors:  M Alda
Journal:  Mol Psychiatry       Date:  2015-02-17       Impact factor: 15.992

6.  Clinical characteristics and long-term response to mood stabilizers in patients with bipolar disorder and different age at onset.

Authors:  Bernardo Dell'Osso; Massimiliano Buoli; Riccardo Riundi; Nazario D'Urso; Sara Pozzoli; Roberta Bassetti; Emanuela Mundo; A Carlo Altamura
Journal:  Neuropsychiatr Dis Treat       Date:  2009       Impact factor: 2.570

7.  Analysis of 23andMe antidepressant efficacy survey data: implication of circadian rhythm and neuroplasticity in bupropion response.

Authors:  Q S Li; C Tian; G R Seabrook; W C Drevets; V A Narayan
Journal:  Transl Psychiatry       Date:  2016-09-13       Impact factor: 6.222

  7 in total

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