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Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy
BACKGROUND: While many women with rheumatoid arthritis (RA) improve during pregnancy and others worsen, there are no biomarkers to predict this improvement or worsening. In our unique RA pregnancy cohort that includes a pre-pregnancy baseline, we have examined pre-pregnancy gene co-expression networ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548620/ https://www.ncbi.nlm.nih.gov/pubmed/37794420 http://dx.doi.org/10.1186/s13075-023-03169-6 |
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author | Wright, Matthew Smed, Mette Kiel Nelson, J. Lee Olsen, Jørn Hetland, Merete Lund Jewell, Nicholas P. Zoffmann, Vibeke Jawaheer, Damini |
author_facet | Wright, Matthew Smed, Mette Kiel Nelson, J. Lee Olsen, Jørn Hetland, Merete Lund Jewell, Nicholas P. Zoffmann, Vibeke Jawaheer, Damini |
author_sort | Wright, Matthew |
collection | PubMed |
description | BACKGROUND: While many women with rheumatoid arthritis (RA) improve during pregnancy and others worsen, there are no biomarkers to predict this improvement or worsening. In our unique RA pregnancy cohort that includes a pre-pregnancy baseline, we have examined pre-pregnancy gene co-expression networks to identify differences between women with RA who subsequently improve during pregnancy and those who worsen. METHODS: Blood samples were collected before pregnancy (T0) from 19 women with RA and 13 healthy women enrolled in our prospective pregnancy cohort. RA improvement/worsening between T0 and 3rd trimester was assessed by changes in the Clinical Disease Activity Index (CDAI). Pre-pregnancy expression profiles were examined by RNA sequencing and differential gene expression analysis. Weighted gene co-expression network analysis (WGCNA) was used to identify co-expression modules correlated with the improvement/worsening of RA during pregnancy and to assess their functional relevance. RESULTS: Of the 19 women with RA, 14 improved during pregnancy (RA(improved)) while 5 worsened (RA(worsened)). At the T0 baseline, however, the mean CDAI was similar between the two groups. WGCNA identified one co-expression module related to B cell function that was significantly correlated with the worsening of RA during pregnancy and was significantly enriched in genes differentially expressed between the RA(improved) and RA(worsened) groups. A neutrophil-related expression signature was also identified in the RA(improved) group at the T0 baseline. CONCLUSION: The pre-pregnancy gene expression signatures identified represent potential biomarkers to predict the subsequent improvement/worsening of RA during pregnancy, which has important implications for the personalized treatment of RA during pregnancy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-023-03169-6. |
format | Online Article Text |
id | pubmed-10548620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105486202023-10-05 Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy Wright, Matthew Smed, Mette Kiel Nelson, J. Lee Olsen, Jørn Hetland, Merete Lund Jewell, Nicholas P. Zoffmann, Vibeke Jawaheer, Damini Arthritis Res Ther Research BACKGROUND: While many women with rheumatoid arthritis (RA) improve during pregnancy and others worsen, there are no biomarkers to predict this improvement or worsening. In our unique RA pregnancy cohort that includes a pre-pregnancy baseline, we have examined pre-pregnancy gene co-expression networks to identify differences between women with RA who subsequently improve during pregnancy and those who worsen. METHODS: Blood samples were collected before pregnancy (T0) from 19 women with RA and 13 healthy women enrolled in our prospective pregnancy cohort. RA improvement/worsening between T0 and 3rd trimester was assessed by changes in the Clinical Disease Activity Index (CDAI). Pre-pregnancy expression profiles were examined by RNA sequencing and differential gene expression analysis. Weighted gene co-expression network analysis (WGCNA) was used to identify co-expression modules correlated with the improvement/worsening of RA during pregnancy and to assess their functional relevance. RESULTS: Of the 19 women with RA, 14 improved during pregnancy (RA(improved)) while 5 worsened (RA(worsened)). At the T0 baseline, however, the mean CDAI was similar between the two groups. WGCNA identified one co-expression module related to B cell function that was significantly correlated with the worsening of RA during pregnancy and was significantly enriched in genes differentially expressed between the RA(improved) and RA(worsened) groups. A neutrophil-related expression signature was also identified in the RA(improved) group at the T0 baseline. CONCLUSION: The pre-pregnancy gene expression signatures identified represent potential biomarkers to predict the subsequent improvement/worsening of RA during pregnancy, which has important implications for the personalized treatment of RA during pregnancy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-023-03169-6. BioMed Central 2023-10-04 2023 /pmc/articles/PMC10548620/ /pubmed/37794420 http://dx.doi.org/10.1186/s13075-023-03169-6 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wright, Matthew Smed, Mette Kiel Nelson, J. Lee Olsen, Jørn Hetland, Merete Lund Jewell, Nicholas P. Zoffmann, Vibeke Jawaheer, Damini Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title | Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title_full | Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title_fullStr | Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title_full_unstemmed | Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title_short | Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
title_sort | pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548620/ https://www.ncbi.nlm.nih.gov/pubmed/37794420 http://dx.doi.org/10.1186/s13075-023-03169-6 |
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