The interplay between polygenic score for tumor necrosis factor-α, brain structural connectivity, and processing speed in major depression
Reduced processing speed is a core deficit in major depressive disorder (MDD) and has been linked to altered structural brain network connectivity. Ample evidence highlights the involvement of genetic-immunological processes in MDD and specific depressive symptoms. Here, we extended these findings b...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
October 2024
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| In: |
Molecular psychiatry
Year: 2024, Jahrgang: 29, Heft: 10, Pages: 3151-3159 |
| ISSN: | 1476-5578 |
| DOI: | 10.1038/s41380-024-02577-7 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41380-024-02577-7 Verlag, kostenfrei, Volltext: http://www.nature.com/articles/s41380-024-02577-7 
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| Verfasserangaben: | Kira Flinkenflügel, Marius Gruber, Susanne Meinert, Katharina Thiel, Alexandra Winter, Janik Goltermann, Paula Usemann, Katharina Brosch, Frederike Stein, Florian Thomas-Odenthal, Adrian Wroblewski, Julia-Katharina Pfarr, Friederike S. David, Eva C. Beins, Dominik Grotegerd, Tim Hahn, Elisabeth J. Leehr, Katharina Dohm, Jochen Bauer, Andreas J. Forstner, Markus M. Nöthen, Hamidreza Jamalabadi, Benjamin Straube, Nina Alexander, Andreas Jansen, Stephanie H. Witt, Marcella Rietschel, Igor Nenadić, Martijn P. van den Heuvel, Tilo Kircher, Jonathan Repple and Udo Dannlowski |
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| 245 | 1 | 4 | |a The interplay between polygenic score for tumor necrosis factor-α, brain structural connectivity, and processing speed in major depression |c Kira Flinkenflügel, Marius Gruber, Susanne Meinert, Katharina Thiel, Alexandra Winter, Janik Goltermann, Paula Usemann, Katharina Brosch, Frederike Stein, Florian Thomas-Odenthal, Adrian Wroblewski, Julia-Katharina Pfarr, Friederike S. David, Eva C. Beins, Dominik Grotegerd, Tim Hahn, Elisabeth J. Leehr, Katharina Dohm, Jochen Bauer, Andreas J. Forstner, Markus M. Nöthen, Hamidreza Jamalabadi, Benjamin Straube, Nina Alexander, Andreas Jansen, Stephanie H. Witt, Marcella Rietschel, Igor Nenadić, Martijn P. van den Heuvel, Tilo Kircher, Jonathan Repple and Udo Dannlowski |
| 246 | 3 | 3 | |a The interplay between polygenic score for tumor necrosis factor-alpha, brain structural connectivity, and processing speed in major depression |
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| 520 | |a Reduced processing speed is a core deficit in major depressive disorder (MDD) and has been linked to altered structural brain network connectivity. Ample evidence highlights the involvement of genetic-immunological processes in MDD and specific depressive symptoms. Here, we extended these findings by examining associations between polygenic scores for tumor necrosis factor-α blood levels (TNF-α PGS), structural brain connectivity, and processing speed in a large sample of MDD patients. Processing speed performance of n = 284 acutely depressed, n = 177 partially and n = 198 fully remitted patients, and n = 743 healthy controls (HC) was estimated based on five neuropsychological tests. Network-based statistic was used to identify a brain network associated with processing speed. We employed general linear models to examine the association between TNF-α PGS and processing speed. We investigated whether network connectivity mediates the association between TNF-α PGS and processing speed. We identified a structural network positively associated with processing speed in the whole sample. We observed a significant negative association between TNF-α PGS and processing speed in acutely depressed patients, whereas no association was found in remitted patients and HC. The mediation analysis revealed that brain connectivity partially mediated the association between TNF-α PGS and processing speed in acute MDD. The present study provides evidence that TNF-α PGS is associated with decreased processing speed exclusively in patients with acute depression. This association was partially mediated by structural brain connectivity. Using multimodal data, the current findings advance our understanding of cognitive dysfunction in MDD and highlight the involvement of genetic-immunological processes in its pathomechanisms. | ||
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