@article{26a1fcaca3ac44119ff2cf2adcdea2fe,
title = "Pre-pregnancy gene expression signatures are associated with subsequent improvement/worsening of rheumatoid arthritis during pregnancy",
abstract = "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 (RAimproved) while 5 worsened (RAworsened). 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 RAimproved and RAworsened groups. A neutrophil-related expression signature was also identified in the RAimproved 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.",
keywords = "Co-expression network analysis, Gene expression, Pre-pregnancy biomarkers, Pregnancy, Rheumatoid arthritis, RNA sequencing (RNA-seq)",
author = "Matthew Wright and Smed, {Mette Kiel} and Nelson, {J. Lee} and J{\o}rn Olsen and Hetland, {Merete Lund} and Jewell, {Nicholas P.} and Vibeke Zoffmann and Damini Jawaheer",
note = "Funding Information: This work was supported by funds from the National Institutes of Arthritis, Musculoskeletal and Skin Diseases (NIAMS), USA (Grants R21AR057931 and R01AR073111); Gigtforeningen, Denmark (grant R87-A1477-B512); and The Juliane Marie Center, Rigshospitalet (Denmark). These funders did not have any role in conducting this study or in the interpretation and reporting of the results. Funding Information: We are immensely grateful to the study subjects for their participation in the study. We acknowledge our gratitude towards the leadership team at the Juliane Marie Center in Denmark for supporting this project. The rheumatology departments at the following hospitals in Denmark facilitated the collection of data and samples: Rigshospitalet (Glostrup), Odense Universitetshospital, Dansk Gigthospital (S{\o}nderborg), Aarhus University Hospital (Skejby), and Regionshospitalet Viborg. We also acknowledge our appreciation for Dr. Hanne Kj{\ae}rgaard{\textquoteright}s efforts in setting up all of the complex logistics for this study in Denmark; Dr. Kj{\ae}rgaard passed away in 2013. We thank all members of our project team for making this work possible: Anne-Grethe Rasmussen, Charlotte Sch{\"o}n Frengler, Dorte Heide, Randi Petersen, Tove Thorup Rasmussen, Lone Thomasen, Britta Hvidberg Nielsen, Irene Tarp J{\o}rgensen, Teresa Rozenfeld, Debbie Nadelmann, Kirsten Junker, Lis Kastberg Schubert, Lis Lund, Jette Barlach, Charlotte Drachmann, Dorte Meinke, Helle Bendtsen, Helle Andersen, Marjo Westerdahl, and Jane Alr{\o} B{\o}tkj{\ae}r for their contribution with data and sample collection; Rikke Godtkj{\ae}r Andersen, Mie Rams Rasmussen, Katrine Elmgaard Jensen, Pia Pedersen, Stine Birkelund, Louise Mielke, Andreas Smed, Sofie Ohlsson Svangren, and Emma Sofie Nielsen for the management of data and samples; and Pia Hynne, Majbritt Norman Nielsen, Mie Rams Rasmussen, Emma Victoria Hatley, Thea Guldmann, Trang Xuan Minh Tran, and Isabel Lorenz Gradert for the administrative assistance. We also greatly appreciate the valuable assistance provided by DANBIO personnel. Dr. Damini Jawaheer accepts responsibility for the integrity and validity of the data collected and analyzed. Publisher Copyright: {\textcopyright} 2023, BioMed Central Ltd., part of Springer Nature.",
year = "2023",
doi = "10.1186/s13075-023-03169-6",
language = "English",
volume = "25",
journal = "Arthritis Research and Therapy",
issn = "1478-6354",
publisher = "BioMed Central",
number = "1",
}