ArticleInternational journal of bipolar disorders2023
Methylomic biomarkers of lithium response in bipolar disorder: a clinical utility study.
Article in International journal of bipolar disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Genetic predictors of lithium response in an ethiopian cohort of patients with bipolar disorder.Annals of general psychiatry · 2026Article
- Response and Adverse Effects to Lithium Treatment in Patients With Bipolar Disorder at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.BioMed research international · 2026Article
- Cellular and proteomic differences associated with lithium response in olfactory neuroepithelium cells of bipolar disorder patients.Molecular medicine (Cambridge, Mass.) · 2025Article
- Alterations of subcortical structure volume in pediatric bipolar disorder patients with manic or depressive first-episode.BMC psychiatry · 2024Article
- Review
- Effectiveness of ultra-long-term lithium treatment: relevant factors and case series.International journal of bipolar disorders · 2024Review
- Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder.Translational psychiatry · 2024Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundResponse to lithium (Li) is highly variable in bipolar disorders (BD). Despite decades of research, no clinical predictor(s) of response to Li prophylaxis have been consistently identified. Recently, we developed epigenetic Methylation Specific High-Resolution Melting (MS-HRM) assays able to discriminate good responders (GR) from non-responders (NR) to Li in individuals with BD type 1 (BD-I). This study examined whether a combination of clinical and epigenetic markers can distinguish NR from other types of Li responders.
methodsWe recorded clinical variables that are potentially associated with Li response in 64 individuals with BD-I. MS-HRM assays were performed on DNA isolated from peripheral blood. We used backward stepwise logistic regression analyses, followed by receiver operating characteristic (ROC) curve analysis to estimate the performance of the clinical variables, alone then in combination with the epigenetic biomarkers, to identify GR and partial responders (PaR) vs NR.
resultsPolarity at onset, psychotic symptoms at onset and family history of BD classified correctly 70% of individuals according to their Li response (PaR + GR = 86%; NR = 35%). When combined with the epigenetic biomarkers, these three clinical variables plus alcohol misuse (and one DMR: Differentially Methylated Region) correctly classified 86% of individuals, improving the prediction of PaR + GR (93%) and of NR (70%). The ROC analysis demonstrated an improvement in the area under the curve from 0.75 (clinical variables alone) to 0.87 (combination of clinical and epigenetic markers).
conclusionsCombining clinical predictors and DNA methylation markers of Li response may have greater utility in clinical practice than relying on clinical characteristics alone.
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