Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation

(1) <b>Background</b>: TNF inhibitors (TNFis) have revolutionized the treatment of rheumatoid arthritis (RA). However, 30-40% of RA patients do not respond adequately to those biologics. In addition to neutralizing soluble TNF, TNFis have the ability to bind the transmembrane form of TNF, tmTNF. Importantly, tmTNF can act itself as a receptor that induces "Reverse Signaling" (RS) in cells. We previously showed that certolizumab, a Fab' TNFi, activates RS in human primary monocytes, at least in part through the transcription factor Nrf2 that is known to regulate the expression of genes involved in anti-inflammatory response and oxidative stress. (2) <b>Methods</b>: Here, we have developed an assay for the prediction of clinical response of RA patients to TNF inhibitors. This assay is based on mRNA quantitation of CD36 activation and of six genes induced by Nrf2 following tmTNF RS in fresh monocytes. (3) <b>Results</b>: We could predict the response to anti-TNF monoclonal antibodies (mAbs) with 93.3% accuracy. However, our method was not suitable for the prediction of the response to TNF soluble receptor etanercept. (4) <b>Conclusions</b>: We have developed a rather simple, short-term test that can be standardized. Predicting the response to TNF mAbs will help physicians offer the best available treatment and provide patients with personalized medicine.

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Publication Details

Journal
Diagnostics
Published
2025-05-14
DOI
https://doi.org/10.3390/diagnostics15101232
Citations
2
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
3.34
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article

Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation

Adeline Ruyssen‐Witrand, Yannick Degboé, Alain Cantagrel, Benjamin Rauwel et al.
2 citations
Diagnostics
Rheumatoid Arthritis Research and Therapies
3.34
article

Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation

Adeline Ruyssen‐Witrand, Yannick Degboé, Alain Cantagrel, Benjamin Rauwel, Anaïs Bellin-Robert, Katy Diallo, J. Davignon, Arnaud Constantin, Michel Baron, Jean‐Frédéric Boyer
article en
2 citations

Abstract

(1) <b>Background</b>: TNF inhibitors (TNFis) have revolutionized the treatment of rheumatoid arthritis (RA). However, 30-40% of RA patients do not respond adequately to those biologics. In addition to neutralizing soluble TNF, TNFis have the ability to bind the transmembrane form of TNF, tmTNF. Importantly, tmTNF can act itself as a receptor that induces "Reverse Signaling" (RS) in cells. We previously showed that certolizumab, a Fab' TNFi, activates RS in human primary monocytes, at least in part through the transcription factor Nrf2 that is known to regulate the expression of genes involved in anti-inflammatory response and oxidative stress. (2) <b>Methods</b>: Here, we have developed an assay for the prediction of clinical response of RA patients to TNF inhibitors. This assay is based on mRNA quantitation of CD36 activation and of six genes induced by Nrf2 following tmTNF RS in fresh monocytes. (3) <b>Results</b>: We could predict the response to anti-TNF monoclonal antibodies (mAbs) with 93.3% accuracy. However, our method was not suitable for the prediction of the response to TNF soluble receptor etanercept. (4) <b>Conclusions</b>: We have developed a rather simple, short-term test that can be standardized. Predicting the response to TNF mAbs will help physicians offer the best available treatment and provide patients with personalized medicine.

DiagnosticsVol. 15(10)
Inserm (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Institut Toulousain des Maladies Infectieuses et Inflammatoires (FR)
Openalex Percentile: Top 9%
Rheumatoid Arthritis Research and Therapies
3.34
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