Uncovering combination therapies for Immune-Mediated Inflammatory Diseases through systems biology analysis on longitudinal patient data 3497

Abstract Description Despite advancements in targeted therapies, most patients with immune-mediated inflammatory diseases (IMIDs) fail to achieve sustained remission. Combining existing drugs has the potential to overcome this. We performed bulk and scRNA-Seq analyses of longitudinal blood samples of patients from six IMIDs including rheumatoid arthritis, psoriasis, psoriatic arthritis, Crohn’s disease, ulcerative colitis, and systemic lupus erythematosus. A total of 186 patients were analyzed at the initiation of a targeted therapy and at the time of clinical response. Using a novel systems biology approach, we determined drug pairs with the highest likelihood of synergy. scRNA-Seq data on 2.1 million PBMCs validated the top drug combinations. Our analysis identified anti-TNF and anti-IL6R therapies as highly complementary for RA. This combination mitigated non-responder molecular signatures, generated transcriptional profiles resembling those of healthy individuals, and demonstrated specificity and non-redundancy. The complementarity was validated using independent data. Longitudinal scRNA-Seq analysis of PBMCs corroborated the combinatorial effect, identifying a population of monocytes as key mediators of efficacy. Through systems biology analysis of patient data, we have found that the combination of anti-TNF and anti-IL6R therapies shows significant potential to overcome the current therapeutic ceiling in RA. The drug combination is currently under evaluation in a clinical study. Funding Sources This work was supported by the DocTIS2 project, funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement N° 848028 Topic Categories Computational and Systems Immunology (COMP)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1293
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
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article

Uncovering combination therapies for Immune-Mediated Inflammatory Diseases through systems biology analysis on longitudinal patient data 3497

Richard H. Myers, Juan D. Cañete, Santos Castañeda, Javier P. Gisbert et al.
The Journal of Immunology
Rheumatoid Arthritis Research and Therapies
article

Uncovering combination therapies for Immune-Mediated Inflammatory Diseases through systems biology analysis on longitudinal patient data 3497

Richard H. Myers, Juan D. Cañete, Santos Castañeda, Javier P. Gisbert, Giampiero Girolomoni, Pere Santamaría, Britta Siegmund, Antonio Fernández‐Nebro, Sara Marsal, Sergio H. Martínez-Mateu, Yolanda Guillén, Jaime Calvo‐Alén, María López‐Lasanta, E. J. S. Fonseca, Carlos Marras, Paloma Vela, J.M. Carrascosa, Eugeni Domènech, Holger Heyn, Ernest Choy, Luís Bujanda, Valle García, Jesús Tornero, Antonio Juli
article en

Abstract

Abstract Description Despite advancements in targeted therapies, most patients with immune-mediated inflammatory diseases (IMIDs) fail to achieve sustained remission. Combining existing drugs has the potential to overcome this. We performed bulk and scRNA-Seq analyses of longitudinal blood samples of patients from six IMIDs including rheumatoid arthritis, psoriasis, psoriatic arthritis, Crohn’s disease, ulcerative colitis, and systemic lupus erythematosus. A total of 186 patients were analyzed at the initiation of a targeted therapy and at the time of clinical response. Using a novel systems biology approach, we determined drug pairs with the highest likelihood of synergy. scRNA-Seq data on 2.1 million PBMCs validated the top drug combinations. Our analysis identified anti-TNF and anti-IL6R therapies as highly complementary for RA. This combination mitigated non-responder molecular signatures, generated transcriptional profiles resembling those of healthy individuals, and demonstrated specificity and non-redundancy. The complementarity was validated using independent data. Longitudinal scRNA-Seq analysis of PBMCs corroborated the combinatorial effect, identifying a population of monocytes as key mediators of efficacy. Through systems biology analysis of patient data, we have found that the combination of anti-TNF and anti-IL6R therapies shows significant potential to overcome the current therapeutic ceiling in RA. The drug combination is currently under evaluation in a clinical study. Funding Sources This work was supported by the DocTIS2 project, funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement N° 848028 Topic Categories Computational and Systems Immunology (COMP)

The Journal of ImmunologyVol. 214(Supplement_1)
University of Verona (IT), Hebron University (PS), United Nations Industrial Development Organization (AT), Hospital Universitario de Guadalajara (ES), Hospital Universitario Rey Juan Carlos (ES), Vall d'Hebron Institut de Recerca (ES), Hospital Universitario Araba (ES), National Institute of Genomic Medicine (MX), Hospital Universitario Reina Sofía (ES), Hospital Universitario de La Princesa (ES), Hospital General Universitario de Alicante Doctor Balmis (ES), Donostiako Unibertsitate Ospitalea (ES), Complexo Hospitalario Universitario A Coruña (ES), HudsonAlpha Institute for Biotechnology (US), Hospital Universitario Virgen de la Arrixaca (ES), Center for Genomic Science (IT), Hospital Universitari Germans Trias i Pujol (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Charité - Universitätsmedizin Berlin (DE), Cardiff University (GB)
European Commission
Openalex Percentile: Top 50%
Rheumatoid Arthritis Research and Therapies
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