Kappa free light chains could predict early disease course in multiple sclerosis
Introduction
Multiple sclerosis (MS) course presents a high variability among individuals ranging from a minimal disability over time to a rapid and severe progression (Tutuncu et al., 2013). Disease-modifying treatments (DMTs) with a different risk to benefit ratios impact on disease history, and the possibility of predicting early MS course is crucial. Many clinical and radiological factors at MS diagnosis have been related to MS prognosis, such as gender, age of onset, disability, number of relapses, magnetic resonance imaging (MRI) measures (Swanton et al., 2014, Wattjes et al., 2015). A similar role has been proposed for cerebrospinal fluid (CSF) biomarkers: notably the presence of oligoclonal IgG bands (OB) has been introduced in the 2017 McDonald criteria for dissemination in time (Thompson et al., 2018). Although OB have been related to clinical isolated syndromes (CIS) conversion to MS (Dobson et al., 2013), a role in predicting progression is still debated (Becker et al., 2015) especially if unrelated to clinical and radiological data (Moroso et al., 2015). Several authors considered not only the presence, but also the number of OB (Avasarala et al., 2001) as a marker for MS prognosis. Moreover, not only the presence of IgG but also of IgM OB at the time of diagnosis has been related to a worse outcome (Mandrioli et al., 2008). However, OB remain a mainly qualitative measure of intrathecal synthesis whose result could be also influenced by operator interpretation (Gastaldi et al., 2017). CSF immunoglobulin free light chains (FLC) have been suggested as quantitative alternative to OB in MS diagnosis (Crespi et al., 2017). CSF-serum ratio of kappa FLC corrected for albumin ratio (Presslauer et al., 2016) has been demonstrated as a valid and rather-independent tool alternative to OB detection in CIS and MS patients. Despite OB were associated to poor disease prognosis, little is known on FLC in predicting MS early progression (Rathbone et al., 2018) and could probably not be related to lesion load (Voortman et al., 2017). Our aim was to evaluate the prognostic value of KFLC in a cohort of Italian MS patients who underwent lumbar puncture in their diagnostic MS work-up.
Section snippets
Methods
We recruited 100 patients (64 females) who underwent lumbar puncture (LP) in their diagnostic MS work-up including who: 1) had a CSF study at the time of their MS work up including OB and FLC measures. 2) had a diagnosis of CIS or MS according to McDonald 2017. 3) had a minimum follow up from LP of 1 year. Control population included 97 neurological non-inflammatory diseases excluding lympho-proliferative disorders.
Demographic and clinical variables at diagnosis were recorded: gender, age at
Results
Baseline features are summarized in Table 1. Median age at onset was 34.4 years (SD ± 10.7). MS course at diagnosis was: 2 radiological isolated syndromes (RIS), 9 CIS, 84 relapsing-remitting (RR) MS, and 5 progressive (PR) MS. Median time from onset to last follow up was 3.9 years (±5.0).
Overall, 92 patient had intrathecal synthesis, 5 had no or indistinct bands, and 3 had similar bands both in serum and CSF; median number of CSF bands was 13 (range 0–42). Mean K index 68.2 (SD 84.4) and CSF
Discussion
Our data suggest a prognostic role of K index for developing early disability in MS: this quantitative marker of intrathecal synthesis showed a direct correlation with MSSS and could be effective in stratifying the risk among those patients who had classically defined OB. In fact, we also confirmed the correlation of disability and OB that remains an established but qualitative and frequent marker to intrathecal synthesis. Notably, the number of bands or CSF IgG did not relate to MSSS in our
Conclusion
We suggest a prognostic value of intrathecal synthesis using K index in terms of disability over time. This quantitative marker is not a substitute for OB in MS diagnosis, but could help also in differentiating patients with intrathecal synthesis according the risk of severe outcomes.
Acknowledgements
None.
Conflict of interest
Dr. Vecchio received a Merk-Serono fellowship.
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