Hepgul, N;
Cattaneo, A;
Agarwal, K;
Baraldi, S;
Borsini, A;
Bufalino, C;
Forton, DM;
Mondelli, V;
Nikkheslat, N;
Lopizzo, N;
et al.
Hepgul, N; Cattaneo, A; Agarwal, K; Baraldi, S; Borsini, A; Bufalino, C; Forton, DM; Mondelli, V; Nikkheslat, N; Lopizzo, N; Riva, MA; Russell, A; Hotopf, M; Pariante, CM
(2016)
Transcriptomics in Interferon-α-Treated Patients Identifies Inflammation-, Neuroplasticity- and Oxidative Stress-Related Signatures as Predictors and Correlates of Depression.
Neuropsychopharmacology, 41 (10).
pp. 2502-2511.
ISSN 0893-133X
https://doi.org/10.1038/npp.2016.50
SGUL Authors: Forton, Daniel Michael
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Abstract
Owing to the unique opportunity to assess individuals before and after they develop depression within a short timeframe, interferon-α (IFN-α) treatment for chronic hepatitis C virus (HCV) infection is an ideal model to identify molecular mechanisms relevant to major depression, especially in the context of enhanced inflammation. Fifty-eight patients were assessed prospectively, at baseline and monthly over 24 weeks of IFN-α treatment. New-onset cases of depression were determined using the Mini International Neuropsychiatric Interview (MINI). Whole-blood transcriptomic analyses were conducted to investigate the following: (1) baseline gene expression differences associated with future development of IFN-α-induced depression, before IFN-α, and (2) longitudinal gene expression changes from baseline to weeks 4 or 24 of IFN-α treatment, separately in those who did and did not develop depression. Transcriptomics data were analyzed using Partek Genomics Suite (1.4-fold, FDR adjusted pless than or equal to0.05) and Ingenuity Pathway Analysis Software. Twenty patients (34%) developed IFN-α-induced depression. At baseline, 73 genes were differentially expressed in patients who later developed depression compared with those who did not. After 4 weeks of IFN-α treatment, 592 genes were modulated in the whole sample, representing primarily IFN-α-responsive genes. Substantially more genes were modulated only in patients who developed depression (n=506, compared with n=70 in patients who did not), with enrichment in inflammation-, neuroplasticity- and oxidative stress-related pathways. A similar picture was observed at week 24. Our data indicate that patients who develop IFN-α-induced depression have an increased biological sensitivity to IFN-α, as shown by larger gene expression changes, and specific signatures both as predictors and as correlates.
Item Type: | Article | |||||||||
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Additional Information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.orglicenses/by/4.0/ | |||||||||
Keywords: | Psychiatry, 11 Medical And Health Sciences, 17 Psychology And Cognitive Sciences | |||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE) Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE) > Centre for Biomedical Education (INMEBE) |
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Journal or Publication Title: | Neuropsychopharmacology | |||||||||
ISSN: | 0893-133X | |||||||||
Publisher License: | Creative Commons: Attribution 4.0 | |||||||||
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URI: | https://openaccess.sgul.ac.uk/id/eprint/109286 | |||||||||
Publisher's version: | https://doi.org/10.1038/npp.2016.50 |
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