Cargando…

Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis

Human endogenous retroviruses (HERVs) are remnants of infections that took place several million years ago and represent around 8% of the human genome. Despite evidence implicating increased expression of HERV type W envelope (HERV-W ENV) in schizophrenia and bipolar disorder, it remains unknown whe...

Descripción completa

Detalles Bibliográficos
Autores principales: Tamouza, Ryad, Meyer, Urs, Foiselle, Marianne, Richard, Jean-Romain, Wu, Ching-Lien, Boukouaci, Wahid, Le Corvoisier, Philippe, Barrau, Caroline, Lucas, Alexandre, Perron, Hervé, Leboyer, Marion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260666/
https://www.ncbi.nlm.nih.gov/pubmed/34230451
http://dx.doi.org/10.1038/s41398-021-01499-0
_version_ 1783718853897879552
author Tamouza, Ryad
Meyer, Urs
Foiselle, Marianne
Richard, Jean-Romain
Wu, Ching-Lien
Boukouaci, Wahid
Le Corvoisier, Philippe
Barrau, Caroline
Lucas, Alexandre
Perron, Hervé
Leboyer, Marion
author_facet Tamouza, Ryad
Meyer, Urs
Foiselle, Marianne
Richard, Jean-Romain
Wu, Ching-Lien
Boukouaci, Wahid
Le Corvoisier, Philippe
Barrau, Caroline
Lucas, Alexandre
Perron, Hervé
Leboyer, Marion
author_sort Tamouza, Ryad
collection PubMed
description Human endogenous retroviruses (HERVs) are remnants of infections that took place several million years ago and represent around 8% of the human genome. Despite evidence implicating increased expression of HERV type W envelope (HERV-W ENV) in schizophrenia and bipolar disorder, it remains unknown whether such expression is associated with distinct clinical or biological characteristics and symptoms. Accordingly, we performed unsupervised two-step clustering of a multivariate data set that included HERV-W ENV protein antigenemia, serum cytokine levels, childhood trauma scores, and clinical data of cohorts of patients with schizophrenia (n = 29), bipolar disorder (n = 43) and healthy controls (n = 32). We found that subsets of patients with schizophrenia (~41%) and bipolar disorder (~28%) show positive antigenemia for HERV-W ENV protein, whereas the large majority (96%) of controls was found to be negative for ENV protein. Unsupervised cluster analysis identified the presence of two main clusters of patients, which were best predicted by the presence or absence of HERV-W ENV protein. HERV-W expression was associated with increased serum levels of inflammatory cytokines and higher childhood maltreatment scores. Furthermore, patients with schizophrenia who were positive for HERV-W ENV protein showed more manic symptoms and higher daily chlorpromazine (CPZ) equivalents, whereas HERV-W ENV positive patients with bipolar disorder were found to have an earlier disease onset than those who were negative for HERV-W ENV protein. Taken together, our study suggest that HERV-W ENV protein antigenemia and cytokines can be used to stratify patients with major mood and psychotic disorders into subgroups with differing inflammatory and clinical profiles.
format Online
Article
Text
id pubmed-8260666
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82606662021-07-23 Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis Tamouza, Ryad Meyer, Urs Foiselle, Marianne Richard, Jean-Romain Wu, Ching-Lien Boukouaci, Wahid Le Corvoisier, Philippe Barrau, Caroline Lucas, Alexandre Perron, Hervé Leboyer, Marion Transl Psychiatry Article Human endogenous retroviruses (HERVs) are remnants of infections that took place several million years ago and represent around 8% of the human genome. Despite evidence implicating increased expression of HERV type W envelope (HERV-W ENV) in schizophrenia and bipolar disorder, it remains unknown whether such expression is associated with distinct clinical or biological characteristics and symptoms. Accordingly, we performed unsupervised two-step clustering of a multivariate data set that included HERV-W ENV protein antigenemia, serum cytokine levels, childhood trauma scores, and clinical data of cohorts of patients with schizophrenia (n = 29), bipolar disorder (n = 43) and healthy controls (n = 32). We found that subsets of patients with schizophrenia (~41%) and bipolar disorder (~28%) show positive antigenemia for HERV-W ENV protein, whereas the large majority (96%) of controls was found to be negative for ENV protein. Unsupervised cluster analysis identified the presence of two main clusters of patients, which were best predicted by the presence or absence of HERV-W ENV protein. HERV-W expression was associated with increased serum levels of inflammatory cytokines and higher childhood maltreatment scores. Furthermore, patients with schizophrenia who were positive for HERV-W ENV protein showed more manic symptoms and higher daily chlorpromazine (CPZ) equivalents, whereas HERV-W ENV positive patients with bipolar disorder were found to have an earlier disease onset than those who were negative for HERV-W ENV protein. Taken together, our study suggest that HERV-W ENV protein antigenemia and cytokines can be used to stratify patients with major mood and psychotic disorders into subgroups with differing inflammatory and clinical profiles. Nature Publishing Group UK 2021-07-06 /pmc/articles/PMC8260666/ /pubmed/34230451 http://dx.doi.org/10.1038/s41398-021-01499-0 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tamouza, Ryad
Meyer, Urs
Foiselle, Marianne
Richard, Jean-Romain
Wu, Ching-Lien
Boukouaci, Wahid
Le Corvoisier, Philippe
Barrau, Caroline
Lucas, Alexandre
Perron, Hervé
Leboyer, Marion
Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title_full Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title_fullStr Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title_full_unstemmed Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title_short Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
title_sort identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with herv-w env antigenemia by unsupervised cluster analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260666/
https://www.ncbi.nlm.nih.gov/pubmed/34230451
http://dx.doi.org/10.1038/s41398-021-01499-0
work_keys_str_mv AT tamouzaryad identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT meyerurs identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT foisellemarianne identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT richardjeanromain identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT wuchinglien identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT boukouaciwahid identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT lecorvoisierphilippe identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT barraucaroline identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT lucasalexandre identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT perronherve identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis
AT leboyermarion identificationofinflammatorysubgroupsofschizophreniaandbipolardisorderpatientswithhervwenvantigenemiabyunsupervisedclusteranalysis