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. 2018 Nov 26;13(11):e0207726. doi: 10.1371/journal.pone.0207726

CSF macrophage migration inhibitory factor levels did not predict steroid treatment response after optic neuritis in patients with multiple sclerosis

Marc Pawlitzki 1,2,*, Catherine M Sweeney-Reed 1, Sven G Meuth 2, Dirk Reinhold 3, Jens Neumann 1
Editor: Christoph Kleinschnitz4
PMCID: PMC6261107  PMID: 30475854

Abstract

Glucocorticoid (GC) refractory relapses in patients with multiple sclerosis (MS) or clinically isolated syndrome (CIS), who are in potential need of treatment escalation, are a key challenge in routine clinical practice. The pro-inflammatory cytokine macrophage migration inhibitory factor (MIF) has been shown to be an endogenous counter-regulator of GC, and potentiates autoimmune-mediated neuroinflammation. In order to evaluate whether MIF levels are elevated in the cerebrospinal fluid (CSF) of MS patients (CSF-MIF), and whether they are higher still during a GC refractory relapse, we compared CSF-MIF concentrations of CIS/MS patients with acute optic neuritis as their first inflammatory episode (ON, n = 20), CIS/MS patients with a stable disease progression/without relapse (CIS/MS w/o, n = 18), and healthy controls (HC, n = 20) using ANOVA. Mean CSF-MIF concentrations in CIS/MS w/o patients were significantly higher than in ON patients and HCs, whereas ON patients and HCs did not differ. A subgroup analysis of the ON group revealed 10 patients to be responsive to GC-treatment (GC-ON) and 10 patients refractory under GC-treatment (rGC-ON). However, mean CSF-MIF concentrations did not differ between GC-ON and rGC-ON cases. We therefore conclude that MIF is not suitable for distinguishing GC responders from non-responders in a group of patients with acute optic neuritis, but it rather mirrors the ongoing inflammation in long-term MS disease progression.

Introduction

Acute inflammatory relapses are the main hallmark of persisting and ongoing disease-related disability in patients with multiple sclerosis (MS) [1]. Great advances of disease-modifying therapies to reduce annual relapse rates have been made. However, the treatment of acute relapses with intravenous high-dose glucocorticoid (GC) administration has remained largely unaltered [2], even though severe, steroid-refractory relapses are common in clinical routine [3] and not well-understood. The treatment escalation for steroid-refractory relapses includes therapeutic apheresis or immunoadsorption, which have shown promising results, leading to the question of whether such treatment options should be started earlier or even replace steroid therapy [46]. MS is characterized by different inflammatory cascades and changing levels of proinflammatory factors [7,8], which might be the reason why some relapses are responsive to GC-treatment, while others are refractory. These features of MS stand in contrast to other neurological disorders, such as autoimmune-related diseases, where specific humoral factors–in particular autoantibodies–have been recognized [911], leading to more established treatment strategies for these disorders. Similar to the experiences made with disease-modifying therapies, the individual responses to immunosuppression/-modulation differ significantly between individual MS cases, rendering the identification of potential biomarkers an important challenge.

Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine, which is required for antigen-driven T-cell activation and sustained inflammation in autoimmune disorders [12,13]. In addition, MIF exhibits an endogenous counter-regulation of the anti-inflammatory effects of GCs [1416] and leads to a potentially decreased response to GC-treatment in autoimmune diseases [1720]. Evidence indeed suggests that MIF mediates GC resistance [21]. The inhibition of MIF has been shown to act synergistically with GC-treatment in experimental autoimmune encephalomyelitis (EAE), an established animal model of MS, with the potential of providing a steroid sparing treatment approach [19,22]. Elevated MIF levels in the blood and cerebrospinal fluid (CSF) of MS patients have recently been reported and were found to be related to clinical progression [23,24], suggesting that MIF levels could potentially serve as a biomarker in MS.

We hypothesized that elevated CSF-MIF concentrations are related to an acute inflammatory event in CIS/MS and to steroid-refractory relapses. Moreover, we postulated that MIF can potentially provide a valuable biomarker for the earlier initiation of plasma separation techniques as an alternative to GC-treatment.

Material and methods

Patients, controls and clinical assessment

Our pilot study involved measuring MIF-concentrations in the diagnostically obtained CSF from 20 patients with optic neuritis (ON) as first inflammatory episode in clinically isolated syndrome (CIS, n = 9) or relapsing-remitting MS (RRMS, n = 11), according to the McDonald criteria (2010) [25]. The second group of CSF-MIF measurements were from 18 patients who had been diagnosed with CIS (n = 9) / MS (n = 9) but had not presented with an acute clinical relapse within the preceding 4 weeks or received any steroids within the 8 weeks (CIS/MS without acute relapse = CIS/MS w/o) prior to study inclusion (mean [SD] latency between last relapse and lumbar puncture = 31 [39] months). CSF was additionally acquired from a hospital-based cohort of n = 20 healthy controls (HC). In these healthy individuals the presence of a neurological disorder had been suspected, but was not confirmed. In addition to the clinical classification, patients included in the control group also fulfilled the following Reiber laboratory criteria defining a non-inflammatory CSF (< 5 cells/μl, > 500 mg protein/ml, < 2 mmol/l lactate, no disruption of the blood/CSF barrier, no oligoclonal bands (OCB) in the CSF, and no intrathecal immunoglobulin (Ig) G, IgA, or IgM synthesis) [26]. Patients of all three groups were clinically evaluated in accordance with German guidelines (including the Expanded disability status scale [EDSS] [27]). Disease duration was defined as the time in months between symptom onset and lumbar puncture (LP). No patient had received any disease-modifying treatment before LP.

In the ON group, visual acuity was measured preceding GC-treatment, on the last day of GC administration, as well as after therapy escalation including plasma exchange. To verify ON-induced axonal disintegration, visual evoked potentials (VEP) were recorded before GC-treatment in at least two trials for each eye, averaging >150 responses, with electrodes positioned at Oz (active) and Fz, in accordance with the International Society for Clinical Electrophysiology of Vision (ISCEV) standards [28]. Latencies of the P100 exceeding a 2.5 standard deviation (SD) from normative data were considered as abnormal VEPs. P100 peak-latencies were measured to reflect the degree of demyelination. VEPs with no stimulation response were excluded (n = 6/20). Brain MRI scans from patients originated from non-standardized protocols from differing MRI units and magnetic field strengths (1.5 or 3.0 Tesla) conducted close to the LP. All examinations included T1- and T2-weighted spin-echo sequences with the administration of gadolinium (Gd). Abnormalities including T1-hypointesities, T2-hyperintesities and Gd-enhanced T1-lesions were initially identified by a neuroradiologist and they were subsequently verified by a MS specialist (M.P.).

Irrespective of the degree of relapse-induced visual loss, ON patients were treated for at least 5 days with a high daily dose (1 g) of intravenous methylprednisolone. For this group, GC-responsive ON (GC-ON) was defined as visual improvement after 5 days of treatment, with a visual acuity correction of >10% compared to baseline, whereas GC-refractory ON (rGC-ON) was defined by a 0–10% change in visual acuity.

All patients were recruited retrospectively in the Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany, between 2012 and May 2017. Thus, no written informant consent could be obtained, but all parameters were taken from routine clinical diagnostics. The data were anonymized, precluding identification of individual patients. The study was approved by the Local Ethics Committee of the Faculty of Medicine at the University Hospital Magdeburg and Otto-von-Guericke University Magdeburg (No. 07/17).

MIF measurement

Immediately after LP, CSF cell concentration was determined, and total protein, albumin quotient (Qalb), and OCB were measured. The remaining CSF material was centrifuged at 4°C, aliquoted, and stored at -80°C until CSF-MIF analysis took place. The absolute CSF-MIF concentrations were measured using commercially available human MIF Quantikine ELISA (bio-techne, Mineapolis, MN), following the instructions provided by the manufacturer. All samples were run in duplicate, and the mean was used for statistical analysis.

Statistical analysis

Statistical analysis was conducted using SPSS 21 (IBM). A one-way-ANOVA was conducted with group (HC vs. CIS/MS w/o vs. ON cases) as the independent variable, followed by pairwise post-hoc testing (Bonferroni-corrected).

The groups were also compared with respect to categorical variables (using a chi-squared test) and continuous variables (using a t-test or Mann-Whitney U test), to determine group differences between GC-ON and rGC-ON cases, taking into account age, median visual acuity before and after GC administration, P100 latency, CSF cell count, Qalb, and CSF-MIF. A Wilcoxon test was used to determine whether visual improvement occurred after plasma exchange in the rGC-ON group.

Spearman’s rank correlations were performed between CSF-MIF and age, further CSF measures (cell count, Qalb, relative monocyte fraction), disease duration, T2-lesion count and P100 latency. P-values ≤ 0.05 were deemed to be statistically significant.

Results

Comparison between ON patients, CIS/MS w/o, and HC

The demographical, clinical, and CSF data of the cohorts are shown in Table 1. We did not observe significant differences in age, sex, CSF protein, or Qalb between ON cases, CIS/MS w/o, and HCs, whereas CSF cell counts varied between the groups (Table 1). As expected, the mean [SD] disease duration of CIS/MS w/o cases was significantly longer than that in the ON group (940 [1189] vs. 7 [6] days).

Table 1.

HC
(N = 20)
CIS/MS w/o
(N = 18)
ON
(N = 20)

p-values
HC vs. CIS/MS w/o HC vs. ON CIS/MS w/o vs. ON
Age at lumbar puncture (years) 33 [9] (17–46) 37 [13] (17–61) 31 [9] (17–48) 0.6 1.0 0.3
Female sex, N (%) 14 (70) 14 (78) 14 (70) 0.8 0.8 0.8
Disease duration (days) - 940 [1189] (34–3722) 7 [6] (0–25) - - 0.006
Median EDSS (range) - 1.5 (0–3.5) 3 (1.5–4) < 0.001
Cerebral T2 lesion count - 8 [9.0] (2–39) 6 [4.5] (1–19) 0.4
CSF Cell count /μl 2 [1] (0–4) 7 [6] (1–25) 9 [9] (0–35) 0.02 0.002 1.0
CSF protein (mg/dl) 324 [65] (178–460) 393 [118] (255–650) 370 [135] (234–825) 0.2 0.6 1.0
Positive OCB, N (%) 0 18 (100) 20 (100) - - 1.0
Qalb 4.3 [1.1] (2.3–6.4) 4.9 [1.8]
(2.5–8.9)
4.7 [2.2]
(2.6–11.5)
0.9 1.0 1.0
Rel. monocyte fraction 0.30 [0.15] (0.12–0.68) 0.22 [0.20] (0.02–0.62) 0.18 [0.20] (0.03–0.80) 0.6 0.1 1.0
CSF-MIF 8.6 [2.7] (2.0–14.1) 10.9 [2.8] (6.3–16.6) 8.6 [2.8]
(4.0–13.4)
0.04 1.0 0.03

N = number of participants; unless otherwise reported mean [standard deviation] (range) is given. CSF = cerebrospinal fluid, EDSS = Expanded disability status scale, OCB = oligoclonal bands, HC = healthy controls, MIF = Macrophage migration inhibitory factor, MS w/o = Clinically isolated syndrome or multiple sclerosis without an acute relapse, ON = acute optic neuritis group, Qalb = albumin quotient. Rel. = relative. Disease duration was defined as the timespan between symptom onset and the date of lumbar puncture. For group comparisons a chi-squared test or an ANOVA analysis of variance with post-hoc Bonferroni-testing were conducted. P-values ≤ 0.05 were deemed to be statistically significant.

There was a significant effect of group on CSF-MIF (p = 0.02), and post-hoc analysis revealed higher mean [SD] CSF-MIF levels in MS w/o (10.9 [2.8] pg/ml) than in the ON (8.6 [2.8] pg/ml) and HC groups (8.6 [2.7] pg/ml), while the latter two groups showed no difference (Fig 1).

Fig 1. Macrophage migration inhibitory factor (MIF) in cerebrospinal fluid (CSF).

Fig 1

HC = healthy controls. CIS/MS w/o = Clinically isolated syndrome or multiple sclerosis without an acute relapse, ON = optic neuritis. Boxes indicates the interquartile range, bars indicates median CSF-MIF values, and whiskers present the 95% CI. Group comparisons were conducted using an ANOVA with post-hoc Bonferroni-testing. P-values ≤ 0.05 were deemed to be statistically significant. MS w/o patients showed higher CSF-MIF levels than HC and ON patients, while the latter did not differ.

Comparison between GC-ON and rGC-ON

Out of 20 patients with acute ON, 10 cases were categorized as GC-ON or rGC-ON, respectively. Three out of 10 patients in the GC-group and 8 out of 10 patients in the rGC-ON group met the criteria for MS. Mean [SD] age (32 [11] vs. 30 [7]) did not differ, while sex distribution was significantly different between both groups (100% vs. 40%, p = 0.03).

The mean [SD] time between the onset of ON and steroid administration was balanced (10 [7] days vs. 5 [4] days). Eight rGC-ON cases were treated with plasma exchange, with treatment onset averaging at 5 days after the last GC administration. Two rGC-ON cases received methylprednisolone only, and no plasma exchange was performed. Prior to the first GC administration, median [range] visual acuity was significantly lower in the rGC-ON group (0.05 [0–0.3]) compared to the GC-ON cases (0.2 [0.1–0.8]) and remained significantly lower after GC administration (0.05 [0–0.4] vs. 0.69 [0.5–1.0]). Moreover, mean [SD] P100 latency was significantly higher in rGC-ON cases (142 [17] ms vs. 123 [9]) (Table 2). Within the rGC-ON group, median visual acuity markedly increased in 8 of 10 patients after therapy escalation. Despite the clinical and diagnostic difference between both groups (visual acuity, P100 latency), the mean [SD] concentration of MIF in the CSF showed no significant statistical difference (rGC-ON: 8.9 [2.7] pg/ml vs. GC-ON: 8.4 [2.5] pg/ml).

Table 2.

GC-ON
(N = 10)
rGC-ON
(N = 10)
p-values
GC-ON vs. rGC-ON
Age at lumbar puncture (years) 32 [11] (18–49) 30 [7] (25–71) 0.6
Female sex, N (%) 10 (100) 4 (40) 0.03
Median EDSS (range) 2 (1.5–4) 3 (2–4) 0.08
Cerebral T2-lesion count 4.5 [3.4] (1–11) 8.0 [5.1] (3–19) 0.09
Timespan between acute symptom and steroid application (days) 10 [7] (3–24) 5 [4] (0–14) 0.09
Median baseline VA (range) 0.2 (0.1–0.8) 0.05 (0–0.3) 0.004
Median VA after treatment (range) 0.69 (0.5–1.0) 0.05 (0–0.4) < 0.001
Pathological VEP, N (%) 10 (100) 10 (100) 1.0
P 100 latency (ms), N 123 [9] (113–138), 8/10 142 [17] (113–163), 6/10 0.02
    CSF Cell count/μl 8 [8] (0–23) 10 [10] (1–35) 0.6
    CSF protein (mg/dl) 325 [55] (234–402) 420 [180] (250–825) 0.1
    Qalb 3.9 [0.9] (2.6–5.4) 5.7 [3] (3.2–11.5) 0.09
    Rel. monocyte fraction 0.13 [0.25] (0.03–0.25) 0.22 [0.26] (0.05–0.80) 0.3
    CSF-MIF 8.4 [2.5] (4.0–12.2) 8.9 [2.7] (5.3–13.4) 0.7

N = number of participants; unless otherwise reported mean [standard deviation] (range) is given. CON = disease controls, CSF = cerebrospinal fluid, MIF = Macrophage migration inhibitory factor, EDSS = Expanded disability status scale, GC-ON = glucocorticoid responsive optic neuritis, Qalb = albumin quotient, Rel. = relative, rGC-ON = non-glucocorticoid-responsive optic neuritis, VA = visual acuity. Disease duration was defined as the timespan between symptom onset and the date of lumbar puncture. Mean P100 latency only could be estimated from patients with stimulation response. For continuous variables, an independent-samples t test or a Mann-Whitney-U test was conducted, while for binary variables, a chi-squared test was calculated. P-values ≤ 0.05 were deemed to be statistically significant.

MIF correlations between demographic, clinical, and CSF parameters

When including the whole patient sample, correlations with a small to medium effect size were found between CSF-MIF concentration and disease duration (rho = 0.4, p = 0.03), Qalb (rho = 0.5, p = 0.002), and CSF protein (rho = 0.4, p = 0.03), while there was no correlation with sex (Z = -0.2, p = 0.8), CSF cell count (rho = 0.2, p = 0.3), relative fraction of monocytes (rho = 0.1, p = 0.3), EDSS (rho = -0.2, p = 0.3), T2-lesion count (rho = 0.04, p = 0.9) or VEP P100 latency (rho = 0.2, p = 0.6).

Discussion

This study was designed to investigate the levels of the proinflammatory cytokine MIF in the CSF of MS patients (i) with acute optic neuritis (ON) and (ii) in the absence of an acute relapse. Furthermore, we questioned whether MIF levels might indicate GC responsiveness in patients with acute optic neuritis.

MIF has been found to play a role in a diverse range of physiological as well as pathological processes [29], so does not provide a specific physicochemical biomarker for MS-related disease processes, in particular MIF blood concentration [14]. Indeed, MIF may be secreted by a wide range of cells, including macrophages, T-cells, dendritic, endothelial, and epithelial cells [3032] and it is constitutively expressed in cerebral and spinal neurons as well as in microglia [33,34]. Release and detection of MIF reveals activity pertaining to inflammation, chemotaxis, cell survival and proliferation [14,15,35]. Similar to basal MIF levels in sera, MIF can also be detected in non-inflammatory brains, but is greatly increased following inflammatory stimuli [36,37]. In MS, perivascular accumulation of inflammatory cells in the CNS following demyelination and microglial cell activation might lead to higher MIF levels in the CSF [19,23].

In addition to its key role in diverse inflammatory processes, MIF may be secreted by tumors [30,36], and its potential as a (tumor) biomarker has also been investigated [35,37].

The processes of MIF secretion are not well-understood, because of its non-classical secretory pathway [30,32]. Evidence has been found that when MIF is secreted, it is initially stored in vesicles in certain cell types, prior to its release via an ATP-binding cassette transporter [32,36]. The half-life of MIF depends on the cells from which it is secreted. The half-life of MIF secreted by normal prostate cells has been reported as 9 h, with an increased stability when secreted from prostate cancer cells resulting in a half-life of 36 h [37]. The MIF protein half-life in normal human cervical epithelial cells has been reported to exceed 18 h [38]. Cell MIF mRNA protein half-life has been found to be approximately 7 h in human endometrial cells [39] and around 19 h in normal human prostate cells [37]. To our knowledge, the half-life of serum and CSF MIF in patients with MS has not yet been investigated. Inference from the half-life reported elsewhere, in combination with the duration of symptoms in MS, it is unlikely that MIF levels fluctuate rapidly, and we do not expect that the stability of MIF will have influenced our findings. Future work should, however, investigate the serum and CSF half-life of MIF in this patient group.

Furthermore, MIF is capable of overcoming the immune suppressive effects of GC at a transcriptional and post-transcriptional level by overriding the GC-induced MAPK-phosphatase-1 expression and inhibiting cytokine production [20,40]. Apart from its physiological role as a counter-regulator of GC effects, elevated MIF expression seems to play a major role in several autoimmune disorders, including rheumatoid arthritis and autoimmune hepatitis [12,17,18], and renders anti-MIF treatment [41,42] a promising therapeutic strategy. This approach has already been successfully demonstrated in experimental models of MS [22].

GCs are frequently used to treat relapses in MS [2]. While the vast majority of patients benefit from GC-treatment, and recover almost completely, the remaining patients do not respond, and the neurological deficits persist. MIF, with its ability to counteract GC activity, might be a component in GC resistance in some patients, leading to the necessity of applying higher doses with, unfortunately, severe side-effects [43].

Based on the elevated CSF-MIF levels in MS patients [23], we hypothesized that higher CSF-MIF levels would be found in patients during a relapse that shows no improvement after treatment with GCs. Our analysis involving patients with ON, however, did not elicit differences in CSF-MIF levels between GC responders and non-responders.

We found significantly elevated CSF-MIF levels in MS patients without relapse activity compared to ON cases and healthy controls. Although these patients had been recently diagnosed with MS, their medical histories revealed several neurological deficits defined as demyelinating events in the past, such that the mean disease duration across patients was estimated to be approximately three years. The generally elevated CSF-MIF levels in these untreated MS patients could potentially be explained by the extended disease duration, in line with the positive correlation we found between MIF levels and disease duration, as well as with previous findings [23]. Moreover, this interpretation would fit with the higher burden of MS-associated inflammatory lesions, in which an increased expression of the MIF receptor CD74 has been detected [44], and ongoing diffused inflammation [45], in contrast to the short mean disease duration (7 days) across the ON-group.

Here, we selected ON patients with the advantage of objectively assessing the outcome using visual acuity and VEP measures, and thus the response to GCs.

However, ON provokes a localized, well-circumscribed inflammation at a large distance from the lumbar CSF, and accordingly might not trigger the release of sufficient amounts of MIF or other cytokines into the CSF [46,47]. In contrast, the appearance of myelitis could lead to a pronounced inflammation, and in turn, yield higher concentrations of MIF in the CSF [23] due to spinal microglia activation [48]. This issue could be addressed in future investigations. We report here the findings from a pilot study. Limitations include the relatively small sample size and the retrospective design. In conclusion, MIF might not suitable for distinguishing GC responders from non-responders in optic neuritis.

Supporting information

S1 Table. CSF = cerebrospinal fluid, EDSS = Expanded disability status scale, HC = healthy controls, GC-ON = glucocorticoid responsive optic neuritis, MIF = Macrophage migration inhibitory factor, MS w/o = Clinically isolated syndrome or multiple sclerosis without an acute relapse, ON = acute optic neuritis group, rGC-ON = non-glucocorticoid-responsive optic neuritis.

(DOCX)

Acknowledgments

We thank Kerstin Kaiser and Jeanette Witzke, Department of Neurology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany, for excellent medical assistance.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Confavreux C, Vukusic S, Adeleine P (2003) Early clinical predictors and progression of irreversible disability in multiple sclerosis. An amnesic process. Brain: a journal of neurology 126 (Pt 4): 770–782. [DOI] [PubMed] [Google Scholar]
  • 2.Sellebjerg F, Barnes D, Filippini G, Midgard R, Montalban X et al. (2005) EFNS guideline on treatment of multiple sclerosis relapses. Report of an EFNS task force on treatment of multiple sclerosis relapses. European journal of neurology 12 (12): 939–946. 10.1111/j.1468-1331.2005.01352.x [DOI] [PubMed] [Google Scholar]
  • 3.Bevan C, Gelfand JM (2015) Therapeutic management of severe relapses in multiple sclerosis. Current treatment options in neurology 17 (4): 345 10.1007/s11940-015-0345-6 [DOI] [PubMed] [Google Scholar]
  • 4.Ehler J, Koball S, Sauer M, Mitzner S, Hickstein H et al. (2015) Response to Therapeutic Plasma Exchange as a Rescue Treatment in Clinically Isolated Syndromes and Acute Worsening of Multiple Sclerosis. A Retrospective Analysis of 90 Patients. PloS one 10 (8): e0134583 10.1371/journal.pone.0134583 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Koziolek MJ, Tampe D, Bähr M, Dihazi H, Jung K et al. (2012) Immunoadsorption therapy in patients with multiple sclerosis with steroid-refractory optical neuritis. Journal of neuroinflammation 9: 80 10.1186/1742-2094-9-80 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ehler J, Blechinger S, Rommer PS, Koball S, Mitzner S et al. (2017) Treatment of the First Acute Relapse Following Therapeutic Plasma Exchange in Formerly Glucocorticosteroid-Unresponsive Multiple Sclerosis Patients-A Multicenter Study to Evaluate Glucocorticosteroid Responsiveness. International journal of molecular sciences 18 (8). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Keegan M, König F, McClelland R, Brück W, Morales Y et al. (2005) Relation between humoral pathological changes in multiple sclerosis and response to therapeutic plasma exchange. Lancet (London, England) 366 (9485): 579–582. [DOI] [PubMed] [Google Scholar]
  • 8.Jarius S, König FB, Metz I, Ruprecht K, Paul F et al. (2017) Pattern II and pattern III MS are entities distinct from pattern I MS. Evidence from cerebrospinal fluid analysis. Journal of neuroinflammation 14 (1): 171 10.1186/s12974-017-0929-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Jarius S, Ruprecht K, Kleiter I, Borisow N, Asgari N et al. (2016) MOG-IgG in NMO and related disorders. A multicenter study of 50 patients. Part 2: Epidemiology, clinical presentation, radiological and laboratory features, treatment responses, and long-term outcome. Journal of neuroinflammation 13 (1): 280 10.1186/s12974-016-0718-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Srisupa-Olan T, Siritho S, Kittisares K, Jitprapaikulsan J, Sathukitchai C et al. (2018) Beneficial effect of plasma exchange in acute attack of neuromyelitis optica spectrum disorders. Multiple sclerosis and related disorders 20: 115–121. 10.1016/j.msard.2018.01.010 [DOI] [PubMed] [Google Scholar]
  • 11.Schneider-Gold C, Krenzer M, Klinker E, Mansouri-Thalegani B, Müllges W et al. (2016) Immunoadsorption versus plasma exchange versus combination for treatment of myasthenic deterioration. Therapeutic advances in neurological disorders 9 (4): 297–303. 10.1177/1756285616637046 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Assis DN, Takahashi H, Leng L, Zeniya M, Boyer JL et al. (2016) A Macrophage Migration Inhibitory Factor Polymorphism Is Associated with Autoimmune Hepatitis Severity in US and Japanese Patients. Digestive diseases and sciences 61 (12): 3506–3512. 10.1007/s10620-016-4322-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Li C-f, He X-h, Kuang W-y, Han T-x, Zhou Y-f (2006) Macrophage activation syndrome in Chinese children with systemic onset juvenile idiopathic arthritis. Zhonghua er ke za zhi = Chinese journal of pediatrics 44 (11): 806–811. [PubMed] [Google Scholar]
  • 14.Calandra T, Roger T (2003) Macrophage migration inhibitory factor. A regulator of innate immunity. Nature reviews. Immunology 3 (10): 791–800. 10.1038/nri1200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bernhagen J, Calandra T, Mitchell RA, Martin SB, Tracey KJ et al. (1993) MIF is a pituitary-derived cytokine that potentiates lethal endotoxaemia. Nature 365 (6448): 756–759. 10.1038/365756a0 [DOI] [PubMed] [Google Scholar]
  • 16.Calandra T, Bernhagen J, Metz CN, Spiegel LA, Bacher M et al. (1995) MIF as a glucocorticoid-induced modulator of cytokine production. Nature 377 (6544): 68–71. 10.1038/377068a0 [DOI] [PubMed] [Google Scholar]
  • 17.Jong YP de, Abadia-Molina AC, Satoskar AR, Clarke K, Rietdijk ST et al. (2001) Development of chronic colitis is dependent on the cytokine MIF. Nature immunology 2 (11): 1061–1066. 10.1038/ni720 [DOI] [PubMed] [Google Scholar]
  • 18.Lang T, Foote A, Lee JPW, Morand EF, Harris J (2015) MIF. Implications in the Pathoetiology of Systemic Lupus Erythematosus. Frontiers in immunology 6: 577 10.3389/fimmu.2015.00577 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cox GM, Kithcart AP, Pitt D, Guan Z, Alexander J et al. (2013) Macrophage migration inhibitory factor potentiates autoimmune-mediated neuroinflammation. Journal of immunology (Baltimore, Md.: 1950) 191 (3): 1043–1054. [DOI] [PubMed] [Google Scholar]
  • 20.Fan H, Kao W, Yang YH, Gu R, Harris J et al. (2014) Macrophage migration inhibitory factor inhibits the antiinflammatory effects of glucocorticoids via glucocorticoid-induced leucine zipper. Arthritis & rheumatology (Hoboken, N.J.) 66 (8): 2059–2070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ji N, Kovalovsky A, Fingerle-Rowson G, Guentzel MN, Forsthuber TG (2015) Macrophage migration inhibitory factor promotes resistance to glucocorticoid treatment in EAE. Neurology(R) neuroimmunology & neuroinflammation 2 (5): e139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bloom J, Metz C, Nalawade S, Casabar J, Cheng KF et al. (2016) Identification of Iguratimod as an Inhibitor of Macrophage Migration Inhibitory Factor (MIF) with Steroid-sparing Potential. The Journal of biological chemistry 291 (51): 26502–26514. 10.1074/jbc.M116.743328 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Niino M, Ogata A, Kikuchi S, Tashiro K, Nishihira J (2000) Macrophage migration inhibitory factor in the cerebrospinal fluid of patients with conventional and optic-spinal forms of multiple sclerosis and neuro-Behçet's disease. Journal of the neurological sciences 179 (S 1–2): 127–131. [DOI] [PubMed] [Google Scholar]
  • 24.Hagman S, Raunio M, Rossi M, Dastidar P, Elovaara I (2011) Disease-associated inflammatory biomarker profiles in blood in different subtypes of multiple sclerosis. Prospective clinical and MRI follow-up study. Journal of neuroimmunology 234 (1–2): 141–147. 10.1016/j.jneuroim.2011.02.009 [DOI] [PubMed] [Google Scholar]
  • 25.Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA et al. (2011) Diagnostic criteria for multiple sclerosis. 2010 revisions to the McDonald criteria. Annals of neurology 69 (2): 292–302. 10.1002/ana.22366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Reiber H, Lange P (1991) Quantification of virus-specific antibodies in cerebrospinal fluid and serum. Sensitive and specific detection of antibody synthesis in brain. Clinical chemistry 37 (7): 1153–1160. [PubMed] [Google Scholar]
  • 27.Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis. An expanded disability status scale (EDSS). Neurology 33 (11): 1444–1452. [DOI] [PubMed] [Google Scholar]
  • 28.Odom JV, Bach M, Brigell M, Holder GE, McCulloch DL et al. (2010) ISCEV standard for clinical visual evoked potentials (2009 update). Documenta ophthalmologica. Advances in ophthalmology 120 (1): 111–119. 10.1007/s10633-009-9195-4 [DOI] [PubMed] [Google Scholar]
  • 29.Merk M, Baugh J, Zierow S, Leng L, Pal U et al. (2009) The Golgi-associated protein p115 mediates the secretion of macrophage migration inhibitory factor. Journal of immunology (Baltimore, Md.: 1950) 182 (11): 6896–6906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Gupta Y, Pasupuleti V, Du W, Welford SM (2016) Macrophage Migration Inhibitory Factor Secretion Is Induced by Ionizing Radiation and Oxidative Stress in Cancer Cells. PloS one 11 (1): e0146482 10.1371/journal.pone.0146482 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Kawczyk-Krupka A, Bugaj AM, Latos W, Wawrzyniec K, Oleś P et al. (2015) ALA-mediated photodynamic effect on apoptosis induction and secretion of macrophage migration inhibitory factor (MIF) and of monocyte chemotactic protein (MCP-1) by colon cancer cells in normoxia and in hypoxia-like conditions in vitro. Photodiagnosis and photodynamic therapy 12 (1): 27–35. 10.1016/j.pdpdt.2014.12.013 [DOI] [PubMed] [Google Scholar]
  • 32.Merk M, Mitchell RA, Endres S, Bucala R (2012) D-dopachrome tautomerase (D-DT or MIF-2). Doubling the MIF cytokine family. Cytokine 59 (1): 10–17. 10.1016/j.cyto.2012.03.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Schwarz SC, Schwarz J, Sautter J, Oertel WH (1998) Effects of macrophage migration inhibitory factor and macrophage migration stimulatory factor on function and survival of foetal dopaminergic grafts in the 6-hydroxydopamine rat model of Parkinson's disease. Experimental brain research 120 (1): 95–103. [DOI] [PubMed] [Google Scholar]
  • 34.Calandra T, Bernhagen J, Mitchell RA, Bucala R (1994) The macrophage is an important and previously unrecognized source of macrophage migration inhibitory factor. The Journal of experimental medicine 179 (6): 1895–1902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Oliveira CS, Bock CE de, Molloy TJ, Sadeqzadeh E, Geng XY et al. (2014) Macrophage migration inhibitory factor engages PI3K/Akt signalling and is a prognostic factor in metastatic melanoma. BMC cancer 14: 630 10.1186/1471-2407-14-630 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Castro BA, Flanigan P, Jahangiri A, Hoffman D, Chen W et al. (2017) Macrophage migration inhibitory factor downregulation. A novel mechanism of resistance to anti-angiogenic therapy. Oncogene 36 (26): 3749–3759. 10.1038/onc.2017.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Meyer-Siegler K (2000) Increased stability of macrophage migration inhibitory factor (MIF) in DU-145 prostate cancer cells. Journal of interferon & cytokine research: the official journal of the International Society for Interferon and Cytokine Research 20 (9): 769–778. [DOI] [PubMed] [Google Scholar]
  • 38.Lugrin J, Ding XC, Le Roy D, Chanson A-L, Sweep FCGJ et al. (2009) Histone deacetylase inhibitors repress macrophage migration inhibitory factor (MIF) expression by targeting MIF gene transcription through a local chromatin deacetylation. Biochimica et biophysica acta 1793 (11): 1749–1758. 10.1016/j.bbamcr.2009.09.007 [DOI] [PubMed] [Google Scholar]
  • 39.Akoum A, Metz CN, Morin M (2005) Marked increase in macrophage migration inhibitory factor synthesis and secretion in human endometrial cells in response to human chorionic gonadotropin hormone. The Journal of clinical endocrinology and metabolism 90 (5): 2904–2910. 10.1210/jc.2004-1900 [DOI] [PubMed] [Google Scholar]
  • 40.Roger T, Chanson A-L, Knaup-Reymond M, Calandra T (2005) Macrophage migration inhibitory factor promotes innate immune responses by suppressing glucocorticoid-induced expression of mitogen-activated protein kinase phosphatase-1. European journal of immunology 35 (12): 3405–3413. 10.1002/eji.200535413 [DOI] [PubMed] [Google Scholar]
  • 41.Mucke HA (2012) Iguratimod. A new disease-modifying antirheumatic drug. Drugs of today (Barcelona, Spain: 1998) 48 (9): 577–586. [DOI] [PubMed] [Google Scholar]
  • 42.Xu L, Zhang Y, Zheng L, Qiao C, Li Y et al. (2014) Discovery of novel inhibitors targeting the macrophage migration inhibitory factor via structure-based virtual screening and bioassays. Journal of medicinal chemistry 57 (9): 3737–3745. 10.1021/jm401908w [DOI] [PubMed] [Google Scholar]
  • 43.Huscher D, Thiele K, Gromnica-Ihle E, Hein G, Demary W et al. (2009) Dose-related patterns of glucocorticoid-induced side effects. Annals of the rheumatic diseases 68 (7): 1119–1124. 10.1136/ard.2008.092163 [DOI] [PubMed] [Google Scholar]
  • 44.Fagone P, Mazzon E, Cavalli E, Bramanti A, Petralia MC et al. (2018) Contribution of the macrophage migration inhibitory factor superfamily of cytokines in the pathogenesis of preclinical and human multiple sclerosis. In silico and in vivo evidences. Journal of neuroimmunology 322: 46–56. 10.1016/j.jneuroim.2018.06.009 [DOI] [PubMed] [Google Scholar]
  • 45.Komori M, Blake A, Greenwood M, Lin YC, Kosa P et al. (2015) Cerebrospinal fluid markers reveal intrathecal inflammation in progressive multiple sclerosis. Annals of neurology 78 (1): 3–20. 10.1002/ana.24408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Modvig S, Degn M, Horwitz H, Cramer SP, Larsson HBW et al. (2013) Relationship between cerebrospinal fluid biomarkers for inflammation, demyelination and neurodegeneration in acute optic neuritis. PloS one 8 (10): e77163 10.1371/journal.pone.0077163 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Giovannoni G (2006) Multiple Sclerosis Cerebrospinal Fluid Biomarkers. Disease Markers 22 (4): 187–196. 10.1155/2006/509476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wang F, Wu H, Xu S, Guo X, Yang J et al. (2011) Macrophage migration inhibitory factor activates cyclooxygenase 2-prostaglandin E2 in cultured spinal microglia. Neuroscience research 71 (3): 210–218. 10.1016/j.neures.2011.07.1821 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. CSF = cerebrospinal fluid, EDSS = Expanded disability status scale, HC = healthy controls, GC-ON = glucocorticoid responsive optic neuritis, MIF = Macrophage migration inhibitory factor, MS w/o = Clinically isolated syndrome or multiple sclerosis without an acute relapse, ON = acute optic neuritis group, rGC-ON = non-glucocorticoid-responsive optic neuritis.

(DOCX)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.


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