51 research outputs found

    CSF Chitinase 3–Like 2 Is Associated With Long-term Disability Progression in Patients With Progressive Multiple Sclerosis

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    Multiple Sclerosis; ChitinaseEsclerosis múltiple; QuitinasaEsclerosi múltiple; QuitinasaObjective This study aimed to identify long-term prognostic protein biomarkers associated with disease progression in patients with progressive multiple sclerosis (MS). Methods CSF samples were collected from a discovery cohort of 28 patients with progressive MS who participated in a clinical trial with interferon beta. Patients were classified into high and low disability progression phenotypes according to numeric progression rates (NPR) and step-based progression rates (SPR) after a mean follow-up time of 12 years. Protein abundance was measured by shotgun proteomics. Selected proteins from the discovery cohort were quantified by parallel reaction monitoring in CSF samples from an independent validation cohort of 41 patients with progressive MS classified also into high and low disability progression phenotypes after a mean follow-up time of 7 years. Results Of 2,548 CSF proteins identified in the discovery cohort, 10 were selected for validation based on their association with long-term disability progression: SPATS2-like protein, chitinase 3–like 2 (CHI3L2), plasma serine protease inhibitor, metallothionein-3, phospholipase D4, beta-hexosaminidase, neurexophilin-1, adipocyte enhancer-binding protein 1, cathepsin L1, and lipopolysaccharide-binding protein. Only CHI3L2 was validated, and patients with high disability progression exhibited significantly higher CSF protein levels compared with patients with low disability progression (p = 0.03 for NPR and p = 0.02 for SPR). CHI3L2 levels showed good performance to discriminate between high and low disability progression in patients with progressive MS (area under the curve 0.73; sensitivity 90% and specificity 63%). Conclusions Although further confirmatory studies are needed, we propose CSF CHI3L2 as a prognostic protein biomarker associated with long-term disability progression in patients with progressive MS.This work was funded by grants from the International Progressive MS Alliance (grant no. PA0020), Asociación Esclerosis Múltiple (EME)—Red Española de Esclerosi múltiple (REEM), REEM (RD16/0015/002 and RD16/0015/003) cofunded by the Instituto de Salud Carlos III and Fondo Europeo de Desarrollo Regional (FEDER, Otra manera de hacer Europa)

    CSF SERPINA3 Levels Are Elevated in Patients With Progressive MS

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    Objective: To identify biomarkers associated with progressive phases of MS and with neuroprotective potential. Methods: Combined analysis of the transcriptional and proteomic profiles obtained in CNS tissue during chronic progressive phases of experimental autoimmune encephalomyelitis (EAE) with the transcriptional profile obtained during the differentiation of murine neural stem cells into neurons. Candidate biomarkers were measured by ELISA in the CSF of 65 patients with MS (29 with relapsing-remitting MS [RRMS], 20 with secondary progressive MS, and 16 with primary progressive MS [PPMS]) and 30 noninflammatory neurologic controls (NINCs). Results: Integrative analysis of gene and protein expression data identified 2 biomarkers, the serine protease inhibitor Serpina3n and the calcium-binding protein S100A4, which were upregulated in chronic progressive EAE and whose expression was induced during neuronal differentiation. Immunofluorescence studies revealed a primarily neuronal expression of S100A4 and Serpina3n during EAE. CSF levels of SERPINA3, the human ortholog of murine Serpina3n, and S100A4 were increased in patients with MS compared with NINCs (SERPINA3: 1,320 vs 838.6 ng/mL, p = 0.0001; S100A4: 1.6 vs 0.8 ng/mL, p = 0.02). Within the MS group, CSF SERPINA3 levels were significantly elevated in patients with progressive forms, mainly patients with PPMS compared with patients with RRMS (1,617 vs 1,129 ng/mL, p = 0.02) and NINCs (1,617 vs 838.6 ng/mL, p = 0.0001). Of interest, CSF SERPINA3 levels significantly correlated with CSF neurofilament light chain levels only in the PPMS group (r = 0.62, p = 0.01). Conclusion: These results point to a role of SERPINA3 as a biomarker associated with the progressive forms of MS, particularly PPMS

    Inflammation in multiple sclerosis induces a specific reactive astrocyte state driving non-cell-autonomous neuronal damage

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    An in‐depth understanding of the neurodegenerative component of multiple sclerosis (MS) is crucial for the design of therapeutic approaches that may stop disease progression. Astrocytes have emerged as key contributors to the pathogenesis of MS. 1 However, the mechanisms underlying the regulation of maladaptive astrocytic responses remain unknown. In this report, we show that a high inflammatory activity in MS patients at disease onset induces a specific reactive astrocyte state that triggers synaptopathy and contributes to neuronal damage in vitro and ex vivo suggesting potential mechanisms that may ultimately lead to neurodegeneration. To investigate whether astrocytes are essential contributors to neuronal damage in MS, we cultured purified astrocytes with cerebrospinal fluid (CSF) samples from MS patients with high inflammatory activity at disease onset (MS‐High, Table S1). Then, we examined the effect of astrocytic secretomes on neurons (Figure 1A). Astrocytes became reactive upon high inflammatory CSF exposure (Figure 1B) and induced morphological alterations typically observed in neurodegenerative disorders, such as a less complex dendritic tree due to decreased arborisation (Figure 1C, D). Moreover, these abnormalities were accompanied with synaptic plasticity impairment (Figure 1E, F). Considering that a high lesion load at disease onset has been associated with an increased risk of neurological disability development, 2 we assessed whether the non‐cell‐autonomous effect on neuronal plasticity could be influenced by the degree of inflammatory activity of MS patients (Figure 2A and Table S1). Interestingly, we observed a direct correlation between the degree of inflammatory exposure and the extent of both astrocyte‐mediated synaptopathy (Figure 2B, C) and dendrite arborisation impairment

    Neurofilament light chain level is a weak risk factor for the development of MS

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    Altres ajuts: T Jens Kuhle was supported by an ECTRIMS Research Fellowship Programme and by the Forschungsfonds of the University of Basel, Switzerland.To determine the prognostic value of selected biomarkers in clinically isolated syndromes (CIS) for conversion to multiple sclerosis (MS) and disability accrual. Data were acquired from 2 CIS cohorts. The screening phase evaluated patients developing clinically definite MS (CIS-CDMS) and patients who remained as CIS during a 2-year minimum follow-up (CIS-CIS). We determined levels of neurofascin, semaphorin 3A, fetuin A, glial fibrillary acidic protein, and neurofilament light (NfL) and heavy chains in CSF (estimated mean [95% confidence interval; CI]). We evaluated associations between biomarker levels, conversion, disability, and magnetic resonance parameters. In the replication phase, we determined NfL levels (n = 155) using a 900 ng/L cutoff. Primary endpoints in uni- and multivariate analyses were CDMS and 2010 McDonald MS. The only biomarker showing significant differences in the screening was NfL (CIS-CDMS 1,553.1 [1,208.7-1,897.5] ng/L and CIS-CIS 499.0 [168.8-829.2] ng/L, p < 0.0001). The strongest associations were with brain parenchymal fraction change (r = −0.892) and percentage brain volume change (r = −0.842) at 5 years. NfL did not correlate with disability. In the replication phase, more NfL-positive patients, according to the cutoff, evolved to MS. Every 100-ng/L increase in NfL predicted CDMS (hazard ratio [HR] = 1.009, 95% CI 1.005-1.014) and McDonald MS (HR = 1.009, 95% CI 1.005-1.013), remaining significant for CDMS in the multivariate analysis (adjusted HR = 1.005, 95% CI 1.000-1.011). This risk was lower than the presence of oligoclonal bands or T2 lesions. NfL is a weak independent risk factor for MS. Its role as an axonal damage biomarker may be more relevant as suggested by its association with medium-term brain volume changes
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