Key result
RNA editing blood biomarkers accurately discriminate bipolar disorder from unipolar depression and healthy controls.
Why the study?
ADAR1-mediated RNA editing regulates inflammation, a key feature of bipolar disorder, motivating the validation of an RNA editing-based blood biomarker panel in a new patient cohort.
Does an RNA editing-based blood biomarker panel discriminate bipolar disorder from healthy controls and among bipolar disorder subgroups?
Observational
Does an RNA editing-based blood biomarker panel discriminate bipolar disorder from healthy controls and among bipolar disorder subgroups?
RNA editing-based blood biomarkers can accurately discriminate bipolar disorder from healthy controls and differentiate between bipolar disorder subgroups.
RNA editing biomarkers may aid bipolar differentiation; hypothesis-generating and requires prospective validation before clinical use.
Bipolar disorder (BD) is a worldwide leading cause of disability. Inflammation roles in this disease is well established. ADAR1-mediated RNA editing is one of the key mechanisms regulating the inflammatory response. We have identified a panel of RNA editing-based blood biomarkers which allowed to discriminate unipolar from BD depression with high accuracy. We confirmed here the diagnostic value of this panel in a new cohort of BD patients recruited in Brazil. We also identified new combinations which allow a clear discrimination of BD from healthy controls and among BD subgroups, confirming that RNA editing is a key mechanism in BD.
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Hayashi et al. (2023) conducted an observational in Bipolar disorder. RNA editing-based blood biomarkers vs. Healthy controls and unipolar depression was evaluated on Discrimination of unipolar from bipolar depression, bipolar disorder from healthy controls, and among bipolar subgroups. A panel of RNA editing-based blood biomarkers discriminated bipolar disorder from unipolar depression, healthy controls, and among bipolar subgroups with high accuracy.
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