Sixty years of recurrence prevention in mood disorders. / Szescdziesiat lat profilaktyki nawrotów chorób afektywnych.

This year, we observe sixty's anniversary of the article by a British psychiatrist, Geoffrey Hartigan, demonstrating, for the first time, the possibility of preventing of the recurrence of mood disorders by using lithium salts. Herein, a history of prevention of recurrences of mood disorders both worldwide and in Poland will be presented concerning both lithium and other mood-stabilizing drugs. The merit for verifying the prophylactic lithium effect in the 1960-1970s should be given to Danish researchers, Mogens Schou and Poul Baastrup. In Poland, the first paper on prophylactic lithium appeared already in 1971. In the 1970s, French researchers showed prophylactic activity of valproic acid amide, and Japanese researchers - carbamazepine. In the 1980th, studies on valproic acid amide were performed in the 2nd Psychiatric Clinic of the Institute of Psychiatry and Neurology led by Prof. Puzynski. Since the mid-1990s, 2nd generation of mood-stabilizing drugs has been introduced, including some atypical antipsychotics (clozapine, olanzapine, quetiapine, aripiprazole, risperidone) and anticonvulsant drug, lamotrigine, showing prophylactic activity in bipolar mood disorder. The studies on lithium resulted in the identification of factors connected with its prophylactic efficacy as well as the antisuicidal, antiviral, and neuroprotective effects of this drug. From a sixty-year perspective following Hartigan's article, it seems that his pioneering concept on the possibility of pharmacological influence on the course of mood disorders was fully confirmed. Current Polish recommendations on pharmacological prophylaxis of mood disorders were presented in the books "Standardy leczenia niektórych zaburzen psychicznych" and "Psychofarmakologia kliniczna", both published in 2022.

Pharmacotherapeutic value of inflammatory and neurotrophic biomarkers in bipolar disorder: A systematic review.

BACKGROUND: The various pharmacological interventions, ranging from mood stabilizers and antipsychotics to antidepressants, reflect the diff/iculty of treating depressive/manic symptomatology of bipolar disorder (BD). Among a broad range of mechanisms implicated, immune dysregulation may contribute to the increased inflammation that influences the course of BD. Inflammatory, neurotrophic and oxidative stress factors may be identified as promising peripheral biomarkers in brain functioning, perhaps serving as predictors of an effective response to treatment for BD. The present systematic review aimed to examine the evidence supporting the pharmacotherapeutic value of inflammatory and neurotrophic biomarkers in BD. METHODS: PubMed, PsychINFO, Scopus and Web of Science were searched from inception to May 2024 by two independent reviewers. A total of 40 studies with 3371 patients with diagnosis and intervention of BD were selected. RESULTS: Inconsistencies in the effects of pharmacological treatments on the connection between the expected anti-inflammatory response and symptomatologic improvement were identified. Mood stabilizers (lithium), antipsychotics (quetiapine), antidepressants (ketamine) or their combination were described to increase both pro-inflammatory (TNFα, IL-6) and anti-inflammatory (IL-4, IL-8) factors. Other medications, such as memantine and dextromethorphan, autoimmune (infliximab) non-steroidal anti-inflammatory (aspirin, celecoxib) drugs, antidiabetics (pioglitazone), and even dietary supplementation (omega-3), or their combination, clearly decrease inflammatory factors (TNFα, IL-6, IL-1ß, C-reactive protein) and/or increase the neurotrophic factor BDNF in BD patients. CONCLUSION: Inflammation in BD requires further investigation to understand the underlying immunologic mechanism, to identify predictors of treatment response, and to make informed decisions about the use and development of more effective pharmacological interventions for BD.

Challenges in the Treatment of Psychotic Bipolar Depression.

BACKGROUND: Psychotic bipolar depression (PBD) is a prevalent yet understudied psychiatric illness, and there are no specific guidelines or Food and Drug Administration-approved medications for its treatment. Recent studies suggest that some antipsychotics and mood stabilizers may be effective in managing bipolar depression; however, their effectiveness for PBD remains unclear. Given the urgent need for more focused research for managing PBD, we conducted a literature review to summarize the existing literature on PBD. METHODS: We conducted an electronic literature search from the 1960s to 2023, utilizing PubMed, MEDLINE, EMBASE, and Google, and selected studies based on their relevance to PBD. FINDINGS: PBD is a complex disorder, with 50%-75% of patients with bipolar disorder exhibiting psychotic features. This likelihood increases among those with a history of psychotic mania. Treatment guidelines often recommend a combination of mood stabilizers, antipsychotics, or electroconvulsive therapy, but they do not specify a first-line treatment. PBD symptoms can be masked by mixed high mood and energy feelings, potentially delaying diagnosis and treatment while increasing suicide risk. Limited research has evaluated outcomes of various treatments for PBD, and despite the lack of evidence for superior efficacy, in clinical practice, antipsychotics are frequently prescribed. Notably, combining an antipsychotic with selective noradrenaline reuptake inhibitors or tricyclic antidepressants may be effective, but including a mood stabilizer is necessary. CONCLUSION: PBD poses a significant challenge in mental health due to its severity and the lack of consensus on optimal treatment approaches. There is a critical need for more dedicated clinical trials and research to answer key questions about the effective treatment of acute PBD, ideal follow-up care, traits of responders to different therapies, and decision models for subsequent treatments.

In-silico functional analyses identify TMPRSS15-mediated intestinal absorption of lithium as a modulator of lithium response in bipolar disorder.

BACKGROUND: The therapeutic response to lithium in patients with bipolar disorder is highly variable and has a polygenic basis. Genome-wide association studies investigating lithium response have identified several relevant loci, though the precise mechanisms driving these associations are poorly understood. We aimed to prioritise the most likely effector gene and determine the mechanisms underlying an intergenic lithium response locus on chromosome 21 identified by the International Consortium on Lithium Genetics (ConLi+Gen). METHODS: We conducted in-silico functional analyses by integrating and synthesising information from several publicly available functional genetic datasets and databases including the Genotype-Tissue Expression (GTEx) project and HaploReg. RESULTS: The findings from this study highlighted TMPRSS15 as the most likely effector gene at the ConLi+Gen lithium response locus. TMPRSS15 encodes enterokinase, a gastrointestinal enzyme responsible for converting trypsinogen into trypsin and thus aiding digestion. Convergent findings from gene-based lookups in human and mouse databases as well as co-expression network analyses of small intestinal RNA-seq data (GTEx) implicated TMPRSS15 in the regulation of intestinal nutrient absorption, including ions like sodium and potassium, which may extend to lithium. LIMITATIONS: Although the findings from this study indicated that TMPRSS15 was the most likely effector gene at the ConLi+Gen lithium response locus, the evidence was circumstantial. Thus, the conclusions from this study need to be validated in appropriately designed wet-lab studies. CONCLUSIONS: The findings from this study are consistent with a model whereby TMPRSS15 impacts the efficacy of lithium treatment in patients with bipolar disorder by modulating intestinal lithium absorption.

Effects of Plasmapheresis on Serum Lithium Levels in an ICU Patient with Bipolar Disorder: A Case Study.

ABSTRACT: This is a case description of a patient with bipolar disorder undergoing lithium therapy who received plasmapheresis for neuromyelitis optica spectrum disorder. Plasmapheresis resulted in lower and subtherapeutic serum lithium levels. Using therapeutic drug monitoring, a dose escalation of 80% was necessary to maintain therapeutic serum lithium levels. This underscores the importance of individualized therapy through therapeutic drug monitoring.

Mortality risk and mood stabilizers in bipolar disorder: a propensity-score-weighted population-based cohort study in 2002-2018.

AIMS: Accumulating studies have assessed mortality risk associated with mood-stabilizers, the mainstay treatment for bipolar disorder (BD). However, existing data were mostly restricted to suicide risk, focused on lithium and valproate and rarely adequately adjusted for potential confounders. This study aimed to assess comparative mortality risk with all, natural and unnatural causes between lithium, valproate and three frequently prescribed second-generation antipsychotics (SGA), with adjustment for important confounders. METHODS: This population-based cohort study identified 8137 patients with first-diagnosed BD, who had exposed to lithium (n = 1028), valproate (n = 3580), olanzapine (n = 797), quetiapine (n = 1975) or risperidone (n = 757) between 2002 and 2018. Data were retrieved from territory-wide medical-record database of public healthcare services in Hong Kong. Propensity-score (PS)-weighting method was applied to optimize control for potential confounders including pre-existing chronic physical diseases, substance/alcohol use disorders and other psychotropic medications. PS-weighted Cox proportional-hazards regression was conducted to assess risk of all-, natural- and unnatural-cause mortality related to each mood-stabilizer, compared to lithium. Three sets of sensitivity analyses were conducted by restricting to patients with (i) length of cumulative exposure to specified mood-stabilizer ≥90 days and its medication possession ratio (MPR) ≥90%, (ii) MPR of specified mood-stabilizer ≥80% and MPR of other studied mood-stabilizers <20% and (iii) monotherapy. RESULTS: Incidence rates of all-cause mortality per 1000 person-years were 5.9 (95% confidence interval [CI]: 4.5-7.6), 8.4 (7.4-9.5), 11.1 (8.3-14.9), 7.4 (6.0-9.2) and 12.0 (9.3-15.6) for lithium-, valproate-, olanzapine-, quetiapine- and risperidone-treated groups, respectively. BD patients treated with olanzapine (PS-weighted hazard ratio = 2.07 [95% CI: 1.33-3.22]) and risperidone (1.66 [1.08-2.55]) had significantly higher all-cause mortality rate than lithium-treated group. Olanzapine was associated with increased risk of natural-cause mortality (3.04 [1.54-6.00]) and risperidone was related to elevated risk of unnatural-cause mortality (3.33 [1.62-6.86]), relative to lithium. The association between olanzapine and increased natural-cause mortality rate was consistently affirmed in sensitivity analyses. Relationship between risperidone and elevated unnatural-cause mortality became non-significant in sensitivity analyses restricted to low MPR in other mood-stabilizers and monotherapy. Valproate- and lithium-treated groups did not show significant differences in all-, natural- or unnatural-cause mortality risk. CONCLUSION: Our data showed that olanzapine and risperidone were associated with higher mortality risk than lithium, and further supported the clinical guidelines recommending lithium as the first-line mood-stabilizer for BD. Future research is required to further clarify comparative mortality risk associated with individual SGA agents to facilitate risk-benefit evaluation of alternative mood-stabilizers to minimize avoidable premature mortality in BD.

New Advances in the Pharmacology and Toxicology of Lithium: A Neurobiologically Oriented Overview.

Over the last six decades, lithium has been considered the gold standard treatment for the long-term management of bipolar disorder due to its efficacy in preventing both manic and depressive episodes as well as suicidal behaviors. Nevertheless, despite numerous observed effects on various cellular pathways and biologic systems, the precise mechanism through which lithium stabilizes mood remains elusive. Furthermore, there is recent support for the therapeutic potential of lithium in other brain diseases. This review offers a comprehensive examination of contemporary understanding and predominant theories concerning the diverse mechanisms underlying lithium's effects. These findings are based on investigations utilizing cellular and animal models of neurodegenerative and psychiatric disorders. Recent studies have provided additional support for the significance of glycogen synthase kinase-3 (GSK3) inhibition as a crucial mechanism. Furthermore, research has shed more light on the interconnections between GSK3-mediated neuroprotective, antioxidant, and neuroplasticity processes. Moreover, recent advancements in animal and human models have provided valuable insights into how lithium-induced modifications at the homeostatic synaptic plasticity level may play a pivotal role in its clinical effectiveness. We focused on findings from translational studies suggesting that lithium may interface with microRNA expression. Finally, we are exploring the repurposing potential of lithium beyond bipolar disorder. These recent findings on the therapeutic mechanisms of lithium have provided important clues toward developing predictive models of response to lithium treatment and identifying new biologic targets. SIGNIFICANCE STATEMENT: Lithium is the drug of choice for the treatment of bipolar disorder, but its mechanism of action in stabilizing mood remains elusive. This review presents the latest evidence on lithium's various mechanisms of action. Recent evidence has strengthened glycogen synthase kinase-3 (GSK3) inhibition, changes at the level of homeostatic synaptic plasticity, and regulation of microRNA expression as key mechanisms, providing an intriguing perspective that may help bridge the mechanistic gap between molecular functions and its clinical efficacy as a mood stabilizer.

An algorithm for pharmacological treatment of mania during hospitalisation.

Current evidence for pharmacological treatment of mania during hospitalisation is insufficient as there are no larger well-designed randomised trials of comparative medical treatments of mania during inpatient stays. Moreover, there is considerable variation in pharmacological medication in clinical practice during hospitalisation for mania. Based on a hospital data overview, a systematic search of the literature and a three-day consensus meeting, this narrative review proposed an algorithm for optimised pharmacological treatment of mania during hospitalisation and its subsequent scientific evaluation.

Phenotypic clustering of bipolar disorder supports stratification by lithium responsiveness over diagnostic subtypes.

INTRODUCTION: The aim of this study was to determine whether the clinical profiles of bipolar disorder (BD) patients could be differentiated more clearly using the existing classification by diagnostic subtype or by lithium treatment responsiveness. METHODS: We included adult patients with BD-I or II (N = 477 across four sites) who were treated with lithium as their principal mood stabilizer for at least 1 year. Treatment responsiveness was defined using the dichotomized Alda score. We performed hierarchical clustering on phenotypes defined by 40 features, covering demographics, clinical course, family history, suicide behaviour, and comorbid conditions. We then measured the amount of information that inferred clusters carried about (A) BD subtype and (B) lithium responsiveness using adjusted mutual information (AMI) scores. Detailed phenotypic profiles across clusters were then evaluated with univariate comparisons. RESULTS: Two clusters were identified (n = 56 and n = 421), which captured significantly more information about lithium responsiveness (AMI range: 0.033 to 0.133) than BD subtype (AMI: 0.004 to 0.011). The smaller cluster had disproportionately more lithium responders (n = 47 [83.8%]) when compared to the larger cluster (103 [24.4%]; p = 0.006). CONCLUSIONS: Phenotypes derived from detailed clinical data may carry more information about lithium responsiveness than the current classification of diagnostic subtype. These findings support lithium responsiveness as a valid approach to stratification in clinical samples.

Lithium response in bipolar disorder: Epigenome-wide DNA methylation signatures and epigenetic aging.

Lithium (Li) is the first-line treatment for bipolar disorder (BD) even though only 30 % of BD patients are considered excellent responders. The mechanisms by which Li exerts its action are not clearly understood, but it has been suggested that specific epigenetic mechanisms, such as methylation processes, may play a role. In this regard, DNA methylation patterns can be used to estimate epigenetic age (EpiAge), which is accelerated in BD patients and reversed by Li treatment. Our first aim was to compare the DNA methylation profile in peripheral blood between BD patients categorized as excellent responders to Li (Ex-Rp) and non-responders (N-Rp). Secondly, EpiAge was estimated to detect differential age acceleration between the two groups. A total of 130 differentially methylated positions (DMPs) and 16 differentially methylated regions (DMRs) between Ex-Rp (n = 26) and N-Rp (n = 37) were identified (FDR adjusted p-value < 0.05). We found 122 genes mapping the DMPs and DMRs, nine of which (HOXB6, HOXB3, HOXB-AS3, TENM2, CACNA1B, ANK3, EEF2K, CYP1A1, and SORCS2) had previously been linked to Li response. We found genes related to the GSK3ß pathway to be highly represented. Using FUMA, we found enrichment in Gene Ontology Cell Component for the synapse. Gene network analysis highlighted functions related to the cell cycle, nervous system development and function, and gene expression. No significant differences in age acceleration were found between Ex-Rp and N-Rp for any of the epigenetic clocks analysed. Our findings indicate that a specific methylation pattern could determine the response to Li in BD patients. We also found that a significant portion of the differentially methylated genes are closely associated with the GSK3ß pathway, reinforcing the role of this system in Li response. Future longitudinal studies with larger samples will help to elucidate the epigenetic mechanisms underlying Li response.

Lithium versus anticonvulsants and the risk of physical disorders - Results from a comprehensive long-term nation-wide population-based study emulating a target trial.

Bipolar disorder is associated with increased rates of many physical disorders, but the effects of medication are unclear. We systematically investigated the associations between sustained use of first line maintenance agents, lithium versus lamotrigine and valproate, and the risk of physical disorders using a nation-wide population-based target trial emulation covering the entire 5.9 million inhabitants in Denmark. We identified two cohorts. Cohort 1: patients with a diagnosis of bipolar disorder prior to first purchase (N = 12.607). Cohort 2: all 156.678 adult patients who had their first ever purchase (since 1995) of either lithium, lamotrigine or valproate between 1997 and 2021 regardless of diagnosis. Main analyses investigated the effect of sustained exposure defined as exposure for all consecutive 6-months periods during a 10-year follow-up. Outcomes included a diagnosis of incident stroke, arteriosclerosis, angina pectoris, myocardial infarction, diabetes mellitus, myxedema, osteoporosis, dementia, Parkinson's disease, chronic kidney disease and cancer (including subtypes). In both Cohorts 1 and 2, there were no systematic statistically significant differences in associations between sustained use of lithium versus lamotrigine and valproate, respectively, and any physical disorder, including subtypes of disorders, except myxedema, for which exposure to lithium increased the absolute risk of myxedema with 7-10 % compared with lamotrigine or valproate. In conclusion, these analyses emulating a target trial of "real world" observational register-based data show that lithium does not increase the risk of developing any kind of physical disorders, except myxedema, which may be a result of detection bias.

The Association Between Mood Stabilizers, Sleep Quality, and Functioning in Patients With Remitted Bipolar Disorder.

PURPOSE/BACKGROUND: The current study aimed to examine the differences in sleep quality, illness severity, and functioning in remitted bipolar disorder patients who are using mood stabilizers and antipsychotics either as monotherapy or as combination/additional therapy. METHODS/PROCEDURES: A total of 113 remitted outpatients with Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) bipolar disorder were recruited. The patients were classified on the basis of their current treatment regimen: 44 patients were receiving a single mood stabilizer, 21 patients were receiving a single antipsychotic, and 48 patients were receiving a combination therapy of a single mood stabilizer and a single antipsychotic. The Pittsburgh Sleep Quality Index (PSQI), Global Assessment of Functioning (GAF), and Insomnia Severity Index (ISI) were applied. FINDINGS/RESULTS: The GAF score was significantly lower in the combination group compared with the other 2 groups. Scores on the PSQI and ISI did not differ between the 3 groups. More than half (66.4%) of all patients had poor sleep quality. Total score on the PSQI was significantly correlated with age, body mass index, and GAF. Insomnia Severity Index was significantly correlated with the duration of illness, total number of episodes, and GAF. Multiple linear regression analysis indicated that GAF ( ß = -0.114) and ISI ( ß = 0.661) were significantly associated with the PSQI total score. IMPLICATIONS/CONCLUSIONS: Our findings suggest that implementing interventions to enhance functioning is crucial for improving sleep quality in remitted bipolar patients.

Total valproate versus free valproate in therapeutic drug monitoring for bipolar disorder: A cross-sectional study.

INTRODUCTION: The debate about observing total versus free serum valproate levels for therapeutic drug monitoring (TDM) has been unresolved for decades. This study was planned to assess the agreement between the total versus free valproate levels and the advantage of one method over the other in TDM. METHODS: The present cross-sectional study was done on 93 patients with bipolar disorder. The intraclass correlation coefficient, Bland Altman analysis, and Lin's concordance analysis were done to assess the agreement between the total and free valproate concentrations. Linear and polynomial models were constructed to evaluate the relation between the two measurements. Receiver operating characteristics analysis was done to compare the accuracy for differentiating remission from non-remission on Young's mania rating scale (YMRS). RESULTS: The intraclass correlation coefficient and Lin's concordance correlation coefficient were 0.491 (p = .002) and 0.055 (95% CI:0.037, 0.073), respectively. Bland Altman's analysis showed proportional bias. A polynomial model of second order was found to be the best fit for the prediction of free valproate from the data for total valproate, and 81.4% of the variability in free valproate could be explained when adjusted for albumin levels. The area under the curve for total valproate was 0.60 when compared to free valproate 0.56 for differentiating between remission and non-remission, but the comparison between the two ROC analyses was not statistically significant. CONCLUSION: Free valproate does not provide any added advantage over the total valproate levels; hence, total valproate levels may continue to be used as the marker for drug monitoring.

Existing and Emerging Technologies for Therapeutic Monitoring of Lithium: A Scoping Review.

BACKGROUND/PURPOSE: Lithium is an effective psychoactive drug. It has a narrow therapeutic margin, with subtherapeutic levels or intoxication commonly occurring. Therapeutic drug monitoring (TDM) of lithium has several barriers. This scoping review aims to describe and analyze existing and emerging technologies for lithium TDM and to describe the lithium quantification parameters (precision, accuracy, detection limit) attributed to each technology. METHOD: PubMed, Scopus, Web of Science, and Google Scholar were searched. Studies that described lithium quantification and complied with PRISMA-ScR guidelines were included. Articles selection was conducted by 2 researchers. Good precision was defined if its relative standard deviation <3%; acceptable, from 3% to 5%; and low, >5%. Accuracy was considered good if the error <5%; acceptable, 5%1 to 0%; and low if it was >10%. RESULTS: Of the 2008 articles found, 22 met the inclusion criteria. Of these, 14 studies concerned laboratory devices, in which precision was found to be low in one third of cases, and half had good precision. Accuracy of one third was good, another third was low, and the remaining third did not report accuracy. The other 8 studies concerned portable devices, in which precision was low in more than 60% of the cases and good in 25% of the studies. Accuracy was low in 50% of the cases, and good in just over a third. Limits of detection included the therapeutic range of lithium in all studies. CONCLUSIONS: Among emerging technologies for lithium TDM, precision and accuracy remain a challenge, particularly for portable devices.