P.0877 Lithium treatment influences blood transcriptome during manic but not depressive episode in bipolar patients

2021 ◽  
Vol 53 ◽  
pp. S642
Author(s):  
O. Szczepankiewicz ◽  
M. Dmitrzak-Węglarz ◽  
K. Bilska ◽  
P. Kapelski ◽  
J. Nowakowska ◽  
...  
Keyword(s):  
Depressive Episode ◽  
Lithium Treatment ◽  
Bipolar Patients ◽  
Blood Transcriptome

Potential positive effect of lithium treatment on neurocognitive deficit in bipolar patients

2011 ◽  
Vol 26 ◽  
pp. e173
Author(s):  
Adele Quartini ◽  
Tecla Petrucci ◽  
Giorgiana Manuali ◽  
Francesco Saverio Bersani ◽  
Giuseppe Bersani
Keyword(s):  
Lithium Treatment ◽  
Neurocognitive Deficit ◽  
Bipolar Patients ◽  
Positive Effect

Increased Anterior Cingulate Cortex Volume in Bipolar I Disorder

2007 ◽  
Vol 41 (11) ◽  
pp. 910-916 ◽  
Author(s):  
Ali Javadapour ◽  
Gin S. Malhi ◽  
Belinda Ivanovski ◽  
Xiaohua Chen ◽  
Wei Wen ◽  
...  
Keyword(s):  
Anterior Cingulate Cortex ◽  
Matched Control ◽  
Functional Neuroimaging ◽  
Lithium Treatment ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Control Subjects ◽  
History Of ◽  
Bipolar Patients ◽  
Objective Functional

Objective: Functional neuroimaging studies have implicated the anterior cingulate cortex (ACC) in the pathophysiology of bipolar disorder (BD), but findings from volumetric studies have been less consistent, therefore the purpose of the present study was to further investigate the existence of volumetric abnormalities in the ACC cortex of individuals with BD. In addition to methodological inconsistencies many previous studies have been lacking robustness clinically with respect to characterizing bipolar patients and comparison subjects. Hence, the present study matched the groups closely across a number of demographic parameters. Methods: Using magnetic resonance imaging, ACC volumes of 24 bipolar patients were compared to 24 gender-, age-, and education-matched control subjects, and these findings were further investigated in relation to both illness and treatment factors. Results: A significantly larger (26%) right ACC in bipolar patients than control subjects was seen, and this difference was not associated with a history of psychosis, familiality, or lithium treatment, after controlling for potential confounds. Patients reporting fewer affective episodes did, however, have significantly larger ACC volumes than controls, suggesting ACC volumetric changes early in the course of BD. Conclusions: An increase in the size of the ACC may have important implications for the neurobiology of BD. It is suggested that attempts to control affective instability during the early stages of the illness necessitates greater ACC mediation via its role in conflict resolution and hence this is reflected in the increased size of the ACC early in the course of the illness.

Predictors of Lithium Treatment Responsiveness in Bipolar Patients

1998 ◽  
Vol 37 (3) ◽  
pp. 146-149 ◽  
Author(s):  
Maria Kusalic ◽  
Frank Engelsmann
Keyword(s):  
Lithium Treatment ◽  
Bipolar Patients ◽  
Treatment Responsiveness

Correlation between drug treatment adherence and lithium treatment attitudes and knowledge by bipolar patients

2007 ◽  
Vol 31 (1) ◽  
pp. 217-224 ◽  
Author(s):  
Adriane Ribeiro Rosa ◽  
Marion Marco ◽  
Jandyra M.G. Fachel ◽  
Flávio Kapczinski ◽  
Airton Tetelbom Stein ◽  
...  
Keyword(s):  
Drug Treatment ◽  
Treatment Adherence ◽  
Lithium Treatment ◽  
Attitudes And Knowledge ◽  
Bipolar Patients ◽  
Treatment Attitudes

scholarly journals Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 474
Author(s):  
Andy R. Eugene ◽  
Jolanta Masiak ◽  
Beata Eugene
Keyword(s):  
Gene Expression ◽  
Machine Learning ◽  
Linear Models ◽  
Learning Algorithm ◽  
Lithium Treatment ◽  
Study Data ◽  
Differentially Expressed ◽  
Specific Gene ◽  
Pre Treatment ◽  
Bipolar Patients

Background: We sought to test the hypothesis that transcriptiome-level genes signatures are differentially expressed between male and female bipolar patients, prior to lithium treatment, in a patient cohort who later were clinically classified as lithium treatment responders. Methods: Gene expression study data was obtained from the Lithium Treatment-Moderate dose Use Study data accessed from the National Center for Biotechnology Information’s Gene Expression Omnibus via accession number GSE4548. Differential gene expression analysis was conducted using the Linear Models for Microarray and RNA-Seq (limma) package and the Random Forests machine learning algorithm in R. Results: In pre-treatment lithium responders, the following genes were found having a greater than 0.5 fold-change, and differentially expressed indicating a male bias: RBPMS2, SIDT2, CDH23, LILRA5, and KIR2DS5; while the female-biased genes were: HLA-H, RPS23, FHL3, RPL10A, NBPF14, PSTPIP2, FAM117B, CHST7, and ABRACL. Conclusions: Using machine learning, we developed a pre-treatment gender- and gene-expression-based predictive model selective for lithium responders with an ROC AUC of 0.92 for men and an ROC AUC of 1 for women.

Decreased leukocyte telomere length in male patients with chronic bipolar disorder: lack of effect of long-term lithium-treatment

2021 ◽  
pp. 1-25
Author(s):  
Ewa Ferensztajn-Rochowiak ◽  
Ewa Kurczewska ◽  
Błażej Rubiś ◽  
Michalina Lulkiewicz ◽  
Hanna Hołysz ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Telomere Length ◽  
Lithium Treatment ◽  
Quantitative Polymerase Chain Reaction ◽  
Accelerated Aging ◽  
Control Group ◽  
Duration Of Treatment ◽  
Control Male ◽  
Bipolar Patients

Abstract Objectives: Bipolar disorder (BD) may be connected with accelerated aging, the marker of this can be shorter telomere length (TL). Some data suggest that lithium may exert a protective effect against telomere shortening. The study aimed to compare the telomere length between patients with bipolar disorder and control subjects. The effect of long-term lithium treatment was also assessed. Methods: The study group comprised 41 patients with BD, including 29 patients treated longitudinally with lithium (mean 16.5 years) and 20 healthy people. Telomere length was assessed by the quantitative polymerase chain reaction (qPCR). Results: In the control group, the TL was significantly longer in males than in females. Male bipolar patients had significantly shorter TL compared with the control male group. In bipolar patients, there was no correlation between TL and duration of treatment. The TL was negatively correlated with age in male bipolar patients. Conclusion: The study did not confirm the lithium effect on TL in bipolar patients. TL showed gender differences, being shorter in BD males, compared to control males, and longer in healthy males, compared to control females.

Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE‐II‐MIX study

2020 ◽  
Author(s):  
Maria Antonietta Furio ◽  
Dina Popovic ◽  
Eduard Vieta ◽  
Yelena Stukalin ◽  
Michal Hagin ◽  
...  
Keyword(s):  
Depressive Episode ◽  
Major Depressive Episode ◽  
Rapid Cycling ◽  
Major Depressive ◽  
Bipolar Patients

Social Support and Long-Term Lithium Outcome

1985 ◽  
Vol 147 (3) ◽  
pp. 272-275 ◽  
Author(s):  
Ralph A. O'Connell ◽  
Julia A. Mayo ◽  
Leonard K. Eng ◽  
J. Sidney Jones ◽  
Richard H. Gabel
Keyword(s):  
Social Support ◽  
Psychosocial Factors ◽  
Social Adjustment ◽  
Lithium Treatment ◽  
Bipolar Affective Disorder ◽  
Global Assessment Scale ◽  
Factors Affecting ◽  
One Year ◽  
Bipolar Patients

SummaryThe failure rate in long-term lithium treatment of bipolar affective disorder is in the range of 20 to 30%, even with rigorous diagnostic criteria and adequate serum lithium levels. This may be due to a variety of biologic and psychosocial factors. Psychosocial factors affecting treatment outcome were studied in 60 RDC diagnosed bipolar patients treated with lithium for one year. Outcome was measured using an affective episode score, a social adjustment scale and a global assessment scale. Social support was the factor most strongly correlated with a good outcome on all three measures.

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