Assessing Blood-Based Biomarkers to Define a TherapeuticWindow for Natalizumab

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2021Author
Granell Geli, Júlia
Izquierdo, Cristina
Sellés Rius, Ares
Teniente Serra, Aina
Presas Rodríguez, Silvia
Mansilla, Maria Jose
Sotoca, Javier
Mañé Martínez, Maria Alba
Moral, Ester
Bragado, Irene
Goelz, Susan
Martínez Cáceres, Eva
Ramo Tello, Cristina
Suggested citation
Granell Geli, Júlia;
Izquierdo, Cristina;
Sellés Rius, Ares;
Teniente Serra, Aina;
Presas Rodríguez, Silvia;
Mansilla, Maria Jose;
...
Ramo Tello, Cristina.
(2021)
.
Assessing Blood-Based Biomarkers to Define a TherapeuticWindow for Natalizumab.
Journal of Personalized Medicine, 2021, vol. 11, n. 12.
https://doi.org/10.3390/jpm11121347.
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Natalizumab is a monoclonal antibody that binds CD49d. Although it is one of the most effective treatments for Relapsing-Remitting Multiple Sclerosis (RRMS), a dosing regimen has not been optimized for safety and efficacy in individual patients. We aimed to identify biomarkers to monitor Natalizumab treatment and to establish a personalized dose utilizing an ongoing longitudinal study in 29 RRMS patients under Natalizumab with standard interval dose (SD) of 300 mg/4wks or extended interval dose (EID) of 300 mg/6wks. Blood samples were analyzed by flow cytometry to determine CD49d saturation and expression in several T and B lymphocytes subpopulations. Each patient was analyzed at two different timepoints separated by 3 Natalizumab administrations. Natalizumab and sVCAM-1 levels in serum were also analyzed using ELISA. To determine the reproducibility of various markers, two different timepoints were compared and no significant differences were observed for CD49d expression nor for saturation; SD patients had higher saturation levels (~80%) than EID patients (~60%). A positive correlation exists between CD49d saturation and Natalizumab serum levels. CD49d expression and saturation are stable parameters that could be used as biomarkers in the immunomonitoring of Natalizumab treatment. Moreover, Natalizumab and sVCAM-1 serum levels could be used to optimize an individual’s dosing schedule
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Journal of Personalized Medicine, 2021, vol. 11, n. 12European research projects
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