Cerebrospinal Fluid Proteomics Targeted for Central Nervous System Processes in Bipolar Disorder
Overview
Psychiatry
Authors
Affiliations
The etiopathology of bipolar disorder is largely unknown. We collected cerebrospinal fluid (CSF) samples from two independent case-control cohorts (total n = 351) to identify proteins associated with bipolar disorder. A panel of 92 proteins targeted towards central nervous system processes identified two proteins that replicated across the cohorts: the CSF concentrations of testican-1 were lower, and the CSF concentrations of C-type lectin domain family 1 member B (CLEC1B) were higher, in cases than controls. In a restricted subgroup analysis, we compared only bipolar type 1 with controls and identified two additional proteins that replicated in both cohorts: draxin and tumor necrosis factor receptor superfamily member 21 (TNFRSF21), both lower in cases than controls. This analysis additionally revealed several proteins significantly associated with bipolar type 1 in one cohort, falling just short of replicated statistical significance in the other (tenascin-R, disintegrin and metalloproteinase domain-containing protein 23, cell adhesion molecule 3, RGM domain family member B, plexin-B1, and brorin). Next, we conducted genome-wide association analyses of the case-control-associated proteins. In these analyses, we found associations with the voltage-gated calcium channel subunit CACNG4, and the lipid-droplet-associated gene PLIN5 with CSF concentrations of TNFRSF21 and CLEC1B, respectively. The reported proteins are involved in neuronal cell-cell and cell-matrix interactions, particularly in the developing brain, and in pathways of importance for lithium's mechanism of action. In summary, we report four novel CSF protein associations with bipolar disorder that replicated in two independent case-control cohorts, shedding new light on the central nervous system processes implicated in bipolar disorder.
Epigenome-Wide Association Study of Depressive Symptoms in Black Women in the InterGEN Study.
Taylor B, Zhao Y, Perez N, Potts-Thompson S, Crusto C, Masterson Creber R Int J Mol Sci. 2024; 25(14).
PMID: 39062924 PMC: 11277114. DOI: 10.3390/ijms25147681.
Hidese S Neuropsychopharmacol Rep. 2024; 44(2):314-320.
PMID: 38686540 PMC: 11144604. DOI: 10.1002/npr2.12439.
RNA velocity prediction via neural ordinary differential equation.
Xie C, Yang Y, Yu H, He Q, Yuan M, Dong B iScience. 2024; 27(4):109635.
PMID: 38623336 PMC: 11016905. DOI: 10.1016/j.isci.2024.109635.
Verma M, Chopra M, Kumar H Cell Mol Neurobiol. 2023; 43(7):3375-3391.
PMID: 37477786 PMC: 11409998. DOI: 10.1007/s10571-023-01390-0.
Clinical Utility of Fluid Biomarker in Depressive Disorder.
Serretti A Clin Psychopharmacol Neurosci. 2022; 20(4):585-591.
PMID: 36263634 PMC: 9606424. DOI: 10.9758/cpn.2022.20.4.585.