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  Comparative serum proteomic analysis of a selected protein panel in individuals with schizophrenia and bipolar disorder and the impact of genetic risk burden on serum proteomic profiles

Kohshour, M. O., Kannaiyan, N. R., Falk, A. J., Papiol, S., Heilbronner, U., Budde, M., et al. (2022). Comparative serum proteomic analysis of a selected protein panel in individuals with schizophrenia and bipolar disorder and the impact of genetic risk burden on serum proteomic profiles. TRANSLATIONAL PSYCHIATRY, 12(1): 471. doi:10.1038/s41398-022-02228-x.

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Kohshour, Mojtaba Oraki, Author
Kannaiyan, Nirmal R., Author
Falk, August Jernbom, Author
Papiol, Sergi, Author
Heilbronner, Urs, Author
Budde, Monika, Author
Kalman, Janos L.1, Author           
Schulte, Eva C., Author
Rietschel, Marcella, Author
Witt, Stephanie, Author
Forstner, Andreas J., Author
Heilmann-Heimbach, Stefanie, Author
Noethen, Markus M., Author
Spitzer, Carsten, Author
Malchow, Berend, Author
Mueller, Thorsten, Author
Wiltfang, Jens, Author
Falkai, Peter, Author
Schmitt, Andrea, Author
Rossner, Moritz J., Author
Nilsson, Peter, AuthorSchulze, Thomas G., Author more..
Affiliations:
1IMPRS Translational Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_3318616              

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 Abstract: The diagnostic criteria for schizophrenia (SCZ) and bipolar disorder (BD) are based on clinical assessments of symptoms. In this pilot study, we applied high-throughput antibody-based protein profiling to serum samples of healthy controls and individuals with SCZ and BD with the aim of identifying differentially expressed proteins in these disorders. Moreover, we explored the influence of polygenic burden for SCZ and BD on the serum levels of these proteins. Serum samples from 113 individuals with SCZ and 125 with BD from the PsyCourse Study and from 44 healthy controls were analyzed by using a set of 155 antibodies in an antibody-based assay targeting a selected panel of 95 proteins. For the cases, genotyping and imputation were conducted for DNA samples and SCZ and BD polygenic risk scores (PRS) were calculated. Univariate linear and logistic models were used for association analyses. The comparison between SCZ and BD revealed two serum proteins that were significantly elevated in BD after multiple testing adjustment: "complement C9" and "Interleukin 1 Receptor Accessory Protein". Moreover, the first principal component of variance in the proteomics dataset differed significantly between SCZ and BD. After multiple testing correction, SCZ-PRS, BD-PRS, and SCZ-vs-BD-PRS were not significantly associated with the levels of the individual proteins or the values of the proteome principal components indicating no detectable genetic effects. Overall, our findings contribute to the evidence suggesting that the analysis of circulating proteins could lead to the identification of distinctive biomarkers for SCZ and BD. Our investigation warrants replication in large-scale studies to confirm these findings.

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 Dates: 2022
 Publication Status: Published online
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Title: TRANSLATIONAL PSYCHIATRY
Source Genre: Journal
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Pages: - Volume / Issue: 12 (1) Sequence Number: 471 Start / End Page: - Identifier: ISSN: 2158-3188