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Whole blood transcriptome analysis in bipolar disorder reveals strong lithium effect.
Krebs, Catharine E; Ori, Anil P S; Vreeker, Annabel; Wu, Timothy; Cantor, Rita M; Boks, Marco P M; Kahn, Rene S; Olde Loohuis, Loes M; Ophoff, Roel A.
Afiliação
  • Krebs CE; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
  • Ori APS; Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA.
  • Vreeker A; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
  • Wu T; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
  • Cantor RM; Department of Medical Genetics, University Medical Center Utrecht, Utrecht, Netherlands.
  • Boks MPM; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
  • Kahn RS; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
  • Olde Loohuis LM; Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA.
  • Ophoff RA; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
Psychol Med ; 50(15): 2575-2586, 2020 11.
Article em En | MEDLINE | ID: mdl-31589133
ABSTRACT

BACKGROUND:

Bipolar disorder (BD) is a highly heritable mood disorder with complex genetic architecture and poorly understood etiology. Previous transcriptomic BD studies have had inconsistent findings due to issues such as small sample sizes and difficulty in adequately accounting for confounders like medication use.

METHODS:

We performed a differential expression analysis in a well-characterized BD case-control sample (Nsubjects = 480) by RNA sequencing of whole blood. We further performed co-expression network analysis, functional enrichment, and cell type decomposition, and integrated differentially expressed genes with genetic risk.

RESULTS:

While we observed widespread differential gene expression patterns between affected and unaffected individuals, these effects were largely linked to lithium treatment at the time of blood draw (FDR < 0.05, Ngenes = 976) rather than BD diagnosis itself (FDR < 0.05, Ngenes = 6). These lithium-associated genes were enriched for cell signaling and immune response functional annotations, among others, and were associated with neutrophil cell-type proportions, which were elevated in lithium users. Neither genes with altered expression in cases nor in lithium users were enriched for BD, schizophrenia, and depression genetic risk based on information from genome-wide association studies, nor was gene expression associated with polygenic risk scores for BD.

CONCLUSIONS:

These findings suggest that BD is associated with minimal changes in whole blood gene expression independent of medication use but emphasize the importance of accounting for medication use and cell type heterogeneity in psychiatric transcriptomic studies. The results of this study add to mounting evidence of lithium's cell signaling and immune-related mechanisms.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Expressão Gênica / Compostos de Lítio Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Expressão Gênica / Compostos de Lítio Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article