Cerebrospinal fluid immunoglobulin light chain ratios predict disease progression in multiple sclerosis

Rathbone, Emma, Durant, Lindsay, Kinsella, James, Parker, Antony R, Hassan-Smith, Ghaniah, Douglas, Michael R. and Curnow, S. John (2018). Cerebrospinal fluid immunoglobulin light chain ratios predict disease progression in multiple sclerosis. Journal of Neurology, Neurosurgery and Psychiatry ,


Objective To determine whether the ratio of cerebrospinal fluid (CSF) immunoglobulin kappa to lambda light chains at time of multiple sclerosis (MS) diagnosis predicts disease progression and whether this was intrinsic to CSF plasmablasts. Methods CSF and peripheral blood were obtained from patients undergoing elective diagnostic lumbar puncture and included clinically isolated syndrome (CIS) (n=43), relapsing remitting MS (RRMS; n=50), primary progressive MS (PPMS; n=20) and other neurological disease controls, both inflammatory (ONID; n=23) and non-inflammatory (OND; n=114). CSF samples were assayed for free and immunoglobulin-associated light chains and on B cells and plasmablasts. Clinical follow-up data were collected during a 5-year follow-up period where available. Results There was an increased median CSF κ:λ free light chain (FLC) in all MS groups (CIS: 18.2, 95% CI 6.8 to 30.3; RRMS: 4.4, 95% CI 2.7 to 11.4; PPMS: 12.0, 95% CI 3.6 to 37.1) but not controls (OND: 1.61, 95% CI 1.4 to 1.9; ONID: 1.7, 95% CI 1.3 to 2.2; p<0.001). This ratio predicted Expanded Disability Status Scores (EDSS) progression at 5 years, with a lower median EDSS in the group with high (>10) CSF κ:λ FLC (0.0, 95% CI 0 to 2.5 vs 2.5, 95% CI 0 to 4, high vs low; p=0.049). CSF κ:λ FLC correlated with CSF IgG1 κ:λ (r=0.776; p<0.0001) and was intrinsic to CSF plasmablasts (r=0.65; p=0.026). Conclusions These data demonstrate that CSF immunoglobulin κ:λ ratios, determined at the time of diagnostic lumbar puncture, predict MS disease progression and may therefore be useful prognostic markers for early therapeutic stratification.

Publication DOI: https://doi.org/10.1136/jnnp-2018-317947
Divisions: Life & Health Sciences
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Related URLs: http://jnnp.bmj ... nnp-2018-317947 (Publisher URL)
Published Online Date: 2018-05-09
Authors: Rathbone, Emma
Durant, Lindsay
Kinsella, James
Parker, Antony R
Hassan-Smith, Ghaniah
Douglas, Michael R.
Curnow, S. John



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