Summary:
“A first-of-its-kind blood test that uses biomarkers to distinguish bipolar disorder from depression could slash the time it takes to get an accurate diagnosis from years to weeks, according to the company that developed the test — but some scientists have raised concerns about its validity. …”
https://www.nature.com/articles/d41586-024-03616-7
and
AI algorithm combined with RNA editing-based blood biomarkers to discriminate bipolar from major depressive disorders in an external validation multicentric cohort
Abstract: “Bipolar disorder (BD) is a leading cause of disability worldwide, as it can lead to cognitive and functional impairment and premature mortality. The first episode of BD is usually a depressive episode and is often misdiagnosed as major depressive disorder (MDD). Growing evidence indicates that peripheral immune activation and inflammation are involved in the pathophysiology of BD and MDD. Recently, by developing a panel of RNA editing-based blood biomarkers able to discriminate MDD from depressive BD, we have provided clinicians a new tool to reduce the misdiagnosis delay observed in patients suffering from BD. The present study aimed at validating the diagnostic value of this panel in an external independent multicentric Switzerland-based cohort of 143 patients suffering from moderate to major depression. The RNA-editing based blood biomarker (BMK) algorithm developped allowed to accurately discriminate MDD from depressive BD in an external cohort, with high accuracy, sensitivity and specificity values (82.5 %, 86.4 % and 80.8 %, respectively). These findings further confirm the important role of RNA editing in the physiopathology of mental disorders and emphasize the possible clinical usefulness of the biomarker panel for optimization treatment delay in patients suffering from BD.”
Salvetat N, Checa-Robles FJ, Delacrétaz A, Cayzac C, Dubuc B, Vetter D, Dainat J, Lang JP, Gamma F, Weissmann D. AI algorithm combined with RNA editing-based blood biomarkers to discriminate bipolar from major depressive disorders in an external validation multicentric cohort. J Affect Disord. 2024 Jul 1;356:385-393. doi: 10.1016/j.jad.2024.04.022. Epub 2024 Apr 13. PMID: 38615844.
https://www.sciencedirect.com/science/article/pii/S0165032724006177
