ArticleScientific reports2018
The observed alteration in BCL2 expression following lithium treatment is influenced by the choice of normalization method.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Targeting Mitochondrial Dysfunction for Bipolar Disorder.Current topics in behavioral neurosciences · 2021Review
- Mitochondrial function parameters as a tool for tailored drug treatment of an individual with psychosis: a proof of concept study.Scientific reports · 2020Article
- Utilization of lithium incorporated mesoporous silica for preventing necrosis and increase apoptosis in different cancer cells.BMC chemistry · 2019Article
- Molecular Mechanisms of Lithium Action: Switching the Light on Multiple Targets for Dementia Using Animal Models.Frontiers in molecular neuroscience · 2018Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Upregulation of B-cell CLL/lymphoma (BCL)2 expression following lithium treatment is seemingly well established and has been related to the neuroprotective property of the drug. However, while demonstrated by some (but not all) studies based on low-throughput techniques (e.g. qPCR) this effect is not reflected in high-throughput studies, such as microarrays and RNAseq. This manuscript presents a systematic review of currently available reports of lithium's effect on BCL2 expression. To our surprise, we found that the majority of the literature does not support the effect of lithium on BCL2 transcript or protein levels. Moreover, among the positive reports, several used therapeutically irrelevant lithium doses while others lack statistical power. We also noticed that numerous low-throughput studies normalized the signal using genes/proteins affected by lithium, imposing possible bias. Using wet bench experiments and reanalysis of publicly available microarray data, here we show that the reference gene chosen for normalization critically impacts the outcome of qPCR analyses of lithium's effect on BCL2 expression. Our findings suggest that experimental results might be severely affected by the choice of normalizing genes, and emphasize the need to re-evaluate stability of these genes in the context of the specific experimental conditions.
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