Evidence map›Paper›PMID 39095573›Full record

ArticleActa neurologica Belgica2024

Association between peripheral blood immunological status and intrathecal inflammatory markers differentiate multiple sclerosis clinical phenotypes.

Ana Turčić, Josip Knežević, Ljiljana Zaninović, Mario Habek, Magdalena Krbot Skorić, Antonija Babić, Željka Vogrinc

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Article in Acta neurologica Belgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ana TurčićDepartment of Laboratory Diagnostics, University Hospital Centre Zagreb, Kispaticeva 12, Zagreb, HR-10 000, Croatia. ana.turcic@kbc-zagreb.hr.ORCID http://orcid.org/0000-0001-8138-4170
Josip KneževićDepartment of Laboratory Diagnostics, University Hospital Centre Zagreb, Kispaticeva 12, Zagreb, HR-10 000, Croatia.
Ljiljana ZaninovićDepartment of Laboratory Diagnostics, University Hospital Centre Zagreb, Kispaticeva 12, Zagreb, HR-10 000, Croatia.
Mario HabekDepartment of Neurology, University of Zagreb School of Medicine, Zagreb, Croatia.
Magdalena Krbot SkorićReferral Center for Autonomic Nervous System Disorders, Department of Neurology, University Hospital Centre Zagreb, Zagreb, Croatia.
Antonija BabićDepartment of Laboratory Diagnostics, University Hospital Centre Zagreb, Kispaticeva 12, Zagreb, HR-10 000, Croatia.
Željka VogrincDepartment of Laboratory Diagnostics, University Hospital Centre Zagreb, Kispaticeva 12, Zagreb, HR-10 000, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe difference in the clinical course, response to therapy, and distribution of CNS inflammation in primary-progressive (PPMS) and relapsing-remitting multiple sclerosis (RRMS) suggests differences in the underlying immunological characteristics of the disease. We aimed to investigate differences in immunological profiles in relation to intrathecal inflammation in different MS forms.

methodsThe peripheral blood (PB) proportions of CD4 + and CD8 + T-cells and CD19 + B-cells were retrospectively compared with the markers of intrathecal immunoglobulin G (IgG) synthesis at diagnosis: IgG index, percentage of intrathecal IgG synthesis (IF IgG), the number of oligoclonal bands (OCB), depending on the blood-brain barrier (BBB) function, and antibody specific index to neurotrophic viruses (MRZH reaction).

resultsThirty-six controls, 71 RRMS and 25 PPMS were enrolled. PPMS had higher percentage of CD4 + T-cells compared to RRMS (P = 0.043) and controls (P = 0.003). The percentage of CD8 + T-cells and CD19 + B-cells, and respective absolute cell counts did not differ according to the MS phenotype. In RRMS with the dysfunctional BBB, the IgG index (r = 0.642, P = 0.012) correlated significantly with the CD19 + B-cells while the CD4 + T-cells inversely correlated with IF IgG (r=-0.574, P = 0.039). Interestingly, in PPMS the number of OCB was positively associated with CD4+ (r = 0.603, P = 0.015) and negatively associated with CD8 + T-cells (r=-0.554, P = 0.033), while IF IgG negatively correlated with CD8 + T-cells (r=-0.689, P = 0.003), but only in the preserved BBB function.

conclusionsThe PB CD4 + T-cells and B-cells were associated with the intrathecal inflammation in RRMS with BBB dysfunction while CD8 + T-cells were involved in PPMS with CNS-compartmentalized inflammation.

Indexed as

Immunoglobulin GAdultBiomarkersBlood-Brain BarrierB-LymphocytesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleHumansMaleMiddle AgedMultiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingOligoclonal BandsPhenotypeBiomarkersImmunoglobulin GOligoclonal BandsBlood-brain barrierCerebrospinal fluidFlow-cytometryMultiple sclerosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.