Cytokines and Prognosis in MOGAD
Author Information
Author(s): Javier Villacieros-Álvarez, Carmen Espejo, Georgina Arrambide, Alessandro Dinoto, Patricia Mulero, Laura Rubio-Flores, Pablo Nieto, Carmen Alcalá, Jose E. Meca-Lallana, Jorge Millan-Pascual, Pedro Martínez-García, Raphael Bernard-Valnet, Inés González-Suárez, Aída Orviz, Raquel Téllez, Laura Navarro Cantó, Silvia Presas-Rodríguez, Sergio Martínez-Yélamos, Juan Pablo Cuello, Ana Alonso, Raquel Piñar Morales, Gary Álvarez Bravo, Lakhdar Benyahya, Sophie Trouillet-Assant, Virginie Dyon-Tafan, Caroline Froment Tilikete, Aurélie Ruet, Bertrand Bourre, Romain Deschamps, Caroline Papeix, Elisabeth Maillart, Philippe Kerschen, Xavier Ayrignac, Àlex Rovira, Cristina Auger, Bertrand Audoin, Xavier Montalban, Mar Tintore, Sara Mariotto, Alvaro Cobo-Calvo, Romain Marignier
Primary Institution: Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron
Hypothesis
Can serum cytokine profiles predict relapses and disability in patients with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD)?
Conclusion
Higher baseline levels of BAFF in MOGAD patients are associated with a lower risk of relapses.
Supporting Evidence
- Patients with MOGAD showed higher IL6, IL8, and IL18 baseline levels compared to those with MS.
- Baseline BAFF levels correlated with disease severity at MOGAD onset.
- Higher baseline BAFF levels predicted lower risk of relapses.
Takeaway
This study looked at blood proteins called cytokines in patients with a specific brain disease to see if they can help predict how the disease will progress.
Methodology
This was a retrospective multicentric cohort study that included patients aged 16 and older with MOGAD, comparing their serum cytokine levels to those of age-matched MS patients.
Potential Biases
Potential influence of treatment on cytokine dynamics.
Limitations
The study's retrospective design and variability in follow-up sampling times may affect the results.
Participant Demographics
Patients aged 16 years and older, including 73 females (60.3%) in the cohort.
Statistical Information
P-Value
p = 0.024
Confidence Interval
0.19; 0.89
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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