Immunological patterns identifying disease course and evolution in multiple sclerosis patients

Roberto Furlan; Marco Rovaris; Filippo Martinelli Boneschi; Mohsen Khademi; Alessandra Bergami; Maira Gironi; Michela Deleidi; Federica Agosta; Diego Franciotta; Elio Scarpini; Antonio Uccelli; Mauro Zaffaroni; Asli Kurne; Giancarlo Comi; Tomas Olsson; Massimo Filippi; Gianvito Martino

doi:10.1016/j.jneuroim.2005.04.012

Immunological patterns identifying disease course and evolution in multiple sclerosis patients

Roberto Furlan, Marco Rovaris, Filippo Martinelli Boneschi, Mohsen Khademi, Alessandra Bergami, Maira Gironi, Michela Deleidi, Federica Agosta, Diego Franciotta, Elio Scarpini, Antonio Uccelli, Mauro Zaffaroni, Asli Kurne, Giancarlo Comi, Tomas Olsson, Massimo Filippi, Gianvito Martino

Research output: Contribution to journal › Article › peer-review

Abstract

Reliable, and easy to measure, immunological markers able to denote disease characteristics in multiple sclerosis (MS) patients are still lacking. We applied a multivariate statistical analysis on results obtained by measuring-by real-time RT-PCR-mRNA levels of 25 immunological relevant molecules in PBMCs from 198 MS patients. The combined measurement of mRNA levels of IL-1β, TNF-α, TGF-β, CCL20 and CCR3 was able to distinguish MS patients from healthy individuals. CXCR5, CCL5, and CCR3 combined mRNA levels identify primary progressive MS patients while TNF-α, IL-10, CXCL10 and CCR3 differentiate relapsing MS patients. Our results indicate that multi-parametric analysis of mRNA levels of immunological relevant molecules in PBMCs may represent a successful strategy for the identification of putative peripheral markers of disease state and disease activity in MS patients.

Original language	English
Pages (from-to)	192-200
Number of pages	9
Journal	Journal of Neuroimmunology
Volume	165
Issue number	1-2
DOIs	https://doi.org/10.1016/j.jneuroim.2005.04.012
Publication status	Published - Aug 2005

Keywords

Chemokines
Cytokines
Multiple sclerosis
Multivariate analysis
Real-time RT-PCR

ASJC Scopus subject areas

Immunology
Clinical Neurology
Immunology and Allergy
Neurology

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Furlan, R., Rovaris, M., Boneschi, F. M., Khademi, M., Bergami, A., Gironi, M., Deleidi, M., Agosta, F., Franciotta, D., Scarpini, E., Uccelli, A., Zaffaroni, M., Kurne, A., Comi, G., Olsson, T., Filippi, M., & Martino, G. (2005). Immunological patterns identifying disease course and evolution in multiple sclerosis patients. Journal of Neuroimmunology, 165(1-2), 192-200. https://doi.org/10.1016/j.jneuroim.2005.04.012

Immunological patterns identifying disease course and evolution in multiple sclerosis patients. / Furlan, Roberto ; Rovaris, Marco ; Boneschi, Filippo Martinelli; Khademi, Mohsen; Bergami, Alessandra; Gironi, Maira; Deleidi, Michela; Agosta, Federica ; Franciotta, Diego ; Scarpini, Elio; Uccelli, Antonio; Zaffaroni, Mauro; Kurne, Asli; Comi, Giancarlo; Olsson, Tomas; Filippi, Massimo ; Martino, Gianvito.

In: Journal of Neuroimmunology, Vol. 165, No. 1-2, 08.2005, p. 192-200.

Research output: Contribution to journal › Article › peer-review

Furlan, R , Rovaris, M , Boneschi, FM, Khademi, M, Bergami, A, Gironi, M, Deleidi, M, Agosta, F , Franciotta, D , Scarpini, E, Uccelli, A, Zaffaroni, M, Kurne, A, Comi, G, Olsson, T, Filippi, M & Martino, G 2005, 'Immunological patterns identifying disease course and evolution in multiple sclerosis patients', Journal of Neuroimmunology, vol. 165, no. 1-2, pp. 192-200. https://doi.org/10.1016/j.jneuroim.2005.04.012

Furlan, Roberto ; Rovaris, Marco ; Boneschi, Filippo Martinelli ; Khademi, Mohsen ; Bergami, Alessandra ; Gironi, Maira ; Deleidi, Michela ; Agosta, Federica ; Franciotta, Diego ; Scarpini, Elio ; Uccelli, Antonio ; Zaffaroni, Mauro ; Kurne, Asli ; Comi, Giancarlo ; Olsson, Tomas ; Filippi, Massimo ; Martino, Gianvito. / Immunological patterns identifying disease course and evolution in multiple sclerosis patients. In: Journal of Neuroimmunology. 2005 ; Vol. 165, No. 1-2. pp. 192-200.

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abstract = "Reliable, and easy to measure, immunological markers able to denote disease characteristics in multiple sclerosis (MS) patients are still lacking. We applied a multivariate statistical analysis on results obtained by measuring-by real-time RT-PCR-mRNA levels of 25 immunological relevant molecules in PBMCs from 198 MS patients. The combined measurement of mRNA levels of IL-1β, TNF-α, TGF-β, CCL20 and CCR3 was able to distinguish MS patients from healthy individuals. CXCR5, CCL5, and CCR3 combined mRNA levels identify primary progressive MS patients while TNF-α, IL-10, CXCL10 and CCR3 differentiate relapsing MS patients. Our results indicate that multi-parametric analysis of mRNA levels of immunological relevant molecules in PBMCs may represent a successful strategy for the identification of putative peripheral markers of disease state and disease activity in MS patients.",

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AU - Gironi, Maira

AU - Deleidi, Michela

AU - Agosta, Federica

AU - Franciotta, Diego

AU - Scarpini, Elio

AU - Uccelli, Antonio

AU - Zaffaroni, Mauro

AU - Kurne, Asli

AU - Comi, Giancarlo

AU - Olsson, Tomas

AU - Filippi, Massimo

AU - Martino, Gianvito

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AB - Reliable, and easy to measure, immunological markers able to denote disease characteristics in multiple sclerosis (MS) patients are still lacking. We applied a multivariate statistical analysis on results obtained by measuring-by real-time RT-PCR-mRNA levels of 25 immunological relevant molecules in PBMCs from 198 MS patients. The combined measurement of mRNA levels of IL-1β, TNF-α, TGF-β, CCL20 and CCR3 was able to distinguish MS patients from healthy individuals. CXCR5, CCL5, and CCR3 combined mRNA levels identify primary progressive MS patients while TNF-α, IL-10, CXCL10 and CCR3 differentiate relapsing MS patients. Our results indicate that multi-parametric analysis of mRNA levels of immunological relevant molecules in PBMCs may represent a successful strategy for the identification of putative peripheral markers of disease state and disease activity in MS patients.

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Immunological patterns identifying disease course and evolution in multiple sclerosis patients

Abstract

Keywords

ASJC Scopus subject areas

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