Literature DB >> 27857690

Interferon-Beta Increases Plasma Ceramides of Specific Chain Length in Multiple Sclerosis Patients, Unlike Fingolimod or Natalizumab.

Florian M Ottenlinger1, Christoph A Mayer2, Nerea Ferreirós3, Yannick Schreiber4, Anja Schwiebs1, Katrin G Schmidt1, Hanns Ackermann5, Josef M Pfeilschifter1, Heinfried H Radeke1.   

Abstract

Fingolimod is used for the treatment of multiple sclerosis (MS) and targets receptors for the bioactive sphingolipid sphingosine-1-phosphate (S1P). Whether fingolimod or other MS therapies conversely affect plasma concentrations of sphingolipids has, however, not yet been analyzed. Herein, we quantified 15 representative sphingolipid species by mass spectrometry in plasma from relapsing-remitting MS patients currently under fingolimod (n = 24), natalizumab (n = 16), or IFN-β (n = 18) treatment. Healthy controls (n = 21) and untreated MS patients (n = 11) served as control groups. IFN-ß treatment strongly increased plasma level of C16:0, C18:0, C20:0, and C24:1 ceramides compared to healthy controls, untreated patients, or patients receiving fingolimod or natalizumab medication. Natalizumab treatment increased plasma concentrations of both S1P and sphinganine-1-phosphate, whereas fingolimod treatment did not affect any of these lipids. Correlations of sphingolipids with the Expanded Disability Status Scale and other disease specific parameters revealed no systemic change of sphingolipids in MS, independent of the respective treatment regime. These results indicate type I interferon treatment to cause a strong and specific increase in ceramide level. If confirmed in larger cohorts, these data have implications for the efficacy and adverse effects of IFN-β. Moreover, quantification of ceramides soon after therapy initiation may help to identify therapy-responsive patients.

Entities:  

Keywords:  ceramides; fingolimod; interferon-beta; multiple sclerosis; natalizumab; sphinganines; sphingolipids

Year:  2016        PMID: 27857690      PMCID: PMC5093125          DOI: 10.3389/fphar.2016.00412

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.810


Introduction

MS is an autoimmune disorder characterized by the destruction of the myelin sheath by auto-reactive immune cells. It is the most common cause for permanent disability in young adults, with an estimated 2.5 million patients worldwide (Brinkmann et al., 2010). Eighty-five percent of MS patients are affected by the RRMS, characterized by isolated relapses followed by complete or incomplete recovery and episodes of relative clinical stability until the next relapse. According to a recently suggested mechanism of relapse induction, myelin-specific memory T cells may reside in lymphoid tissues of the lung, moving from lung-draining lymph nodes to the CNS in a bystander activation process during respiratory infections (Odoardi et al., 2012). At the BBB, T cells slow down, e.g., via interaction of α4-integrins with the vascular cell adhesion molecule VCAM-1, and penetrate the CNS with the help of lytic enzymes, e.g., the MMPs 2 and 9 (Agrawal et al., 2006). Here, T cells are activated by local myelin-presenting perivascular dendritic cells or microglia, resulting in upregulation of costimulatory molecules (e.g., CD80) and the formation of chemokines and cytotoxic cytokines (Greter et al., 2005). During disease progression, and depending on the individual genetic disposition, myelin sheath damage develops into a multi-causal process involving activated B lymphocytes, antibody-dependent pathology, CD8+-driven direct cytotoxicity, autoinflammatory monokines, and reactive oxygen species (ROS)-dependent damage (Brinkmann et al., 2010; Halmer et al., 2014). Sphingolipids, first identified in brain extracts in 1884, play a role in various diseases, and a major role in MS (Tudichum, 1884; Jana and Pahan, 2010). Ceramides are synthesized de novo by ceramide synthases in the endoplasmic reticulum. Here, four enzyme groups convert serine and palmitoyl-CoA to 3-ketosphinganine, and subsequently to sphinganine (also called dihydrosphingosine), which is converted in turn to dihydroceramide and ceramide (Figure ). Subsequently, conjugation of a choline-phosphate group to ceramide leads to the formation of sphingomyelin, while conjugation of galactose to ceramide leads to the formation of galactosylceramide. With the help of ceramidases and sphingosine kinase 1/2, ceramides can be metabolized to sphingosine and subsequently to S1P. Besides de novo generation of ceramides, they can also be produced by “salvage” pathways, either by breaking down S1P to sphingosine and ceramide, or by recycling complex sphingolipids, (e.g., sphingomyelin) via the ASM (Don et al., 2014). Interestingly, ASM and the resulting ceramide release have been identified as a major mechanism of depression. Mice overexpressing ASM exhibit depression-like behavior even in the absence of stress, and antidepressants such as amitriptyline and fluoxetine mediate their therapeutic effects by inhibiting ASM activity. Furthermore, injection of C16:0 ceramide into the hippocampus is sufficient to induce depression-like behavior in WT mice (Gulbins et al., 2013). Downstream of ceramides, S1P is another very important signaling molecule, especially in MS. By activating five known S1PRs on the plasma membrane of various cells, S1P influences cellular processes such as the cell cycle, apoptosis and the regulation of cytokine expression (Schröder et al., 2011; Arlt et al., 2014; Ottenlinger et al., 2016). Furthermore, a steep S1P gradient between blood and secondary lymphoid compartments regulates the egress of lymphocytes out of secondary lymphoid organs. The partial S1PR antagonist fingolimod (Gilenya®, Novartis, Basel, Switzerland; codenamed FTY720), approved by the FDA in 2010 as the first oral treatment for MS, has been shown to reduce the ARR by approximately 50% relative to placebo (Kappos et al., 2010). Its additional effects include activation of astrocytic or neuronal S1PRs by FTY720-P or the inhibition of IFN-γ formation by non-phosphorylated FTY720 (Groves et al., 2013; Ottenlinger et al., 2016). The humanized anti-α4-integrin antibody natalizumab (Tysabri®, Biogen, Cambridge, MA, USA) blocks the migration of T cells across intracerebral vessel walls, resulting in an ARR of 68% (Polman et al., 2006). However, long-term Tysabri-treated patients displayed an increased risk of progressive multifocal leukoencephalopathy (PML), an opportunistic viral infection of the brain which can lead to severe disability or death. Therefore, Tysabri-treated patients are regularly checked for anti-John Cunningham virus (JCV) antibodies (Sadiq et al., 2010). IFN-β (e.g., Avonex®, Biogen, Cambridge, MA, USA) also reduces the relapse rate, reaching an ARR of approximately 34% (The IFNB Multiple Sclerosis Study Group, 1993). MS patients reveal lower levels of circulating type I IFN than healthy controls and it is therefore believed that treatment with recombinant IFN-β suppresses disease progression (Feng et al., 2012). Pharmacodynamically, IFN-β dampens T cell proliferation and migration, reduces IFN-γ-release, diminishes IFN-γ mediated MHC class II expression, inhibits MMPs, increases IL-10 release, and co-activates regulatory T cells (Weinstock-Guttman et al., 2008). Side effects include flu-like symptoms and injection site complications (Walther and Hohlfeld, 1999). However, due to a discrepancy between the physiological and therapeutic effects of IFN-β treatment, its actual mode of action remains unclear. Treatment of patients with MS is still challenging for neurologists: Although an increasing range of drug options is now available, it is not possible to identify therapy non-responders until they suffer further relapse and disability progression. Moreover, most MS drugs are associated with severe side-effects which often necessitate switches of medication. There is therefore a strong need for biomarkers which can guide treatment choices by distinguishing responders from non-responders. Notably, fingolimod specifically targets receptors for the bioactive sphingolipid S1P, but whether fingolimod or other MS medications conversely affect plasma sphingolipid concentrations has yet to be determined. Therefore, we quantified 15 representative sphingolipid metabolites by mass spectrometry in the plasma of relapsing-remitting MS patients currently treated with fingolimod, natalizumab, or IFN-β.

Materials and Methods

Patient Selection

Plasma samples of 69 RRMS patients were obtained from the biobank of the local biobanking project of the Department of Neurology at the University Clinic Frankfurt am Main, Germany. These had been drawn during the routine neurological diagnostic and checkup visits between 2011 and 2015 and stored at -80°C until further preparation. Plasma samples from 21 controls were obtained from healthy blood donors at the blood donation center in Frankfurt am Main (Blutspendedienst Hessen) in 2015. These samples were drawn during blood donation and were prepared and stored likewise. The study was performed in accordance with the Declaration of Helsinki and approved by the local ethics committee (reference number #110-11 for the biobank and #429/14 for sample analysis). All participants gave written informed consent prior to study inclusion. Inclusion criteria were diagnosis of RRMS, treatment with fingolimod or IFN-β (Rebif®, Avonex®, or Extavia®) for more than 3 months or natalizumab for more than 6 months, and an age of 18 – 60 years. Exclusion criteria comprised other disease-modifying treatments, other immunomodulatory treatments and other forms of MS. All patients were diagnosed by specialists in neurology. The EDSS score was not routinely evaluated at every checkup visit and was therefore not available for all patients. Blood from MS patients in relapse was taken before treatment with cortisone or other relapse-specific therapies.

Determination of Sphingolipid Concentrations by High-Performance Liquid Chromatography Tandem Mass Spectrometry

Quantification of plasma sphingolipids was performed by high-performance liquid chromatography tandem mass spectrometry. For quantification of sphingolipids, 20 μl plasma was extracted twice with methanol:chloroform:HCl (15:83:2, v/v/v). The collected organic phases were evaporated at 45°C under a gentle stream of nitrogen and reconstituted in 50 μl methanol. Thereafter, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was used to assess quantities of C14:0 C16:0, C18:1, C18:0, C20:0, C24:1, C24:0 ceramide, C16:0, C18:0, C24:0, C24:1 sphinganine and the internal standard C17:0 ceramide, in addition to sphingosine, sphingosine1-phosphate, sphinganine and sphinganine1-phosphate and the internal standards (sphingosine-D7, sphinganine-D7, and sphingosine1-phosphate-D7). A Luna C18 column (150 mm × 2 mm ID, 5 μm particle size, 100 Å pore size; Phenomenex, Aschaffenburg, Germany) was used for chromatographic separation. The HPLC mobile phases consisted of water-formic acid (100:0.1, v/v) (A) and acetonitrile–tetrahydrofuran–formic acid (50:50:0.1, v/v/v) (B). For separation, a gradient program was used at a flow rate of 0.3 ml/min. The initial buffer composition 60% (A)/40% (B) was held for 0.6 min and then in 3.9 min linearly changed to 0% (A)/100% (B) and held for 6.5 min. Subsequently, the composition was linearly changed within 0.5 min to 60% (A)/40% (B) and then held for another 4.5 min. The running time for every sample (injection volume: 15 μl for determination of ceramides and sphinganines and 10 μl for the other sphingolipids) was 16 min. MS/MS analyses were performed on a API4000 (triple quadrupole mass spectrometer) equipped with an APCI (Atmospheric Pressure Chemical Ionization) ion source (Sciex, Darmstadt, Germany) for determination of ceramides and sphinganines, and with an ESI (Electrospray Ionization) ion source for determination of sphingosine, sphinganine, and their 1-phosphate derivatives. The analysis was done in MRM mode. For every analyte, two transitions were recorded: one for quantification and a second for qualification, to exclude false positive results, with a dwell time of 50 ms. For analysis and quantification, the Analyst Software 1.6 (Sciex, Darmstadt, Germany) was used and the peak area of each analyte was corrected by the peak area of the corresponding internal standard. Linearity of the calibration curve was proven for C16:0, C24:1, C24:0 ceramide; C16:0, C24:1, and C24:0 sphinganine from 12 to 3000 ng/mL, for C18:0, C18:1 ceramide from 1.2 to 300 ng/mL, for C20:0 ceramide, C18:0 sphinganine from 5 to 500 ng/mL and for C14:0 ceramide from 4 to 100 ng/mL. For sphingosine, sphinganine, and their phosphate derivatives, the calibration curve ranged from 0.25 to 250 ng/mL. The coefficient of correlation was at least 0.99. Variations in accuracy were less than 15% over the whole range of calibration, except for the lowest limit of quantification, where a variation in accuracy of 20% was accepted.

Statistical Analysis

Statistical analysis was done using Graph Pad Prism 5 (La Jolla, CA, USA) and SPSS 20 (Chicago, IL, USA). Normal distribution was assessed using a Kolmogorov–Smirnov test. Normally distributed parameters were analyzed with two-tailed t-tests or One-way ANOVAs with Tukey’s post hoc comparison. Non-normally distributed parameters were analyzed using Mann–Whitney’s U and Kruskal–Wallis’ tests with Dunn’s post hoc comparison. Correlations were analyzed using Spearman or Pearson correlation coefficients, respectively. Sphingolipid concentrations are shown as Tukey box plots and statistical significant events are indicated with, ns‘p > 0.05, ∗p ≤ 0.05, ∗∗p < 0.01, and ∗∗∗p < 0.001.

Results

The analysis of 15 representative sphingolipids was performed in plasma from 69 differently medicated RRMS patients and 21 matched healthy controls (Table ). Of the 69 MS patients, 16 were treated with natalizumab, 24 with fingolimod, 18 with IFN-β and 11 were untreated at that time. While some patients were in remission, a high number of relapsing patients were enrolled into the study to enable further analysis of the effect of relapse on plasma sphingolipids. In relapsing patients, blood samples were taken before cortisone therapy was initiated. Of the 15 analytes, C18:1 ceramide, sphingosine and sphinganine did not fulfill the quality control criteria (CV < 20%), because their concentrations were only just above the detection limit (data not shown). These analytes were therefore excluded from further analyses, leaving a total of 12 analytes which were further analyzed. Samples from RRMS patients did not reveal a correlation with storage time (Pearson or Spearman correlation coefficient: -0.29 ≤R ≤ 0.16, data not shown). Additionally, there was no correlation of sphingolipids with age (Pearson or Spearman correlation coefficient: -0,147 ≤R ≤ 0,257, data not shown) and no major influence of gender (data not shown). Concerning the latter, C14:0 ceramide was increased exclusively in female RRMS patients (Mann–Whitney’s U test, p = 0.017), but this was not seen in healthy controls (Mann–Whitney’s U test, p = 0.353). Plasma sphingolipid levels in RRMS patients in remission versus patients in relapse showed no notable difference (Table ). Exclusively C18:0 ceramide was increased in RRMS patients in relapse treated with IFN-β, but this was not seen in other treatment regimes. Therefore, in the subsequent analysis, patients in remission were analyzed together with those in relapse. When sphinganines and ceramides from MS patients were compared to healthy controls, a tendency was observed for all ceramides to be increased in MS patients. However, this increase reached significance only for C24:1 ceramide and C16:0 sphinganine (Table ). dhS1P was elevated in MS patients compared to healthy controls. But, these increases were rather associated with the individual treatment regimens than with the disease itself (see below). Demographic details of RRMS patients and healthy controls. RRMS patients in remission and in relapse reveal no obvious differences in plasma sphingolipid concentrations. RRMS patients reveal a tendency of increased plasma ceramides compared to healthy controls.

IFN-β Treatment Specifically Increased Ceramide Concentrations in Plasma of RRMS Patients

To a large degree, the increase in ceramides and sphinganines was not due to MS in general, but related to treatment, especially IFN-β therapy. IFN-β-treated patients revealed increased C16:0, C18:0, C20:0, and C24:1 ceramides compared to healthy controls (Figures ). These ceramides were also elevated compared to patients receiving other treatment regimens or no treatment, but did not reach statistical significance in all cases. C14:0 ceramide and C24:0 ceramide were unaffected by the treatment (Figures ). C18:1 ceramide did not pass the quality control, but was also elevated in IFN-β-treated patients compared to healthy controls (p < 0.01) or natalizumab-treated patients (p < 0.05, data not shown). Concerning sphinganine species, especially C16:0 and C18:0 sphinganine showed a tendency to be increased in IFN-β-treated patients compared to healthy controls, but this did not reach statistical significance (Figures , p = 0.06). S1P was slightly decreased in untreated patients compared to healthy controls (p = 0.095) and especially natalizumab treatment increased S1P on a level comparable to healthy controls (Figure ). Interestingly, patients treated with the S1PR antagonist fingolimod exhibited no statistically significant difference of S1P levels compared to the control group. Furthermore, patients receiving natalizumab or IFN-β showed increased dhS1P concentrations compared to healthy controls (Figure ). IFN-β-treated RRMS patients demonstrated increased ceramides of specific chain length. (A–F) Ceramides were determined by mass spectrometry from plasma of RRMS patients and healthy controls. Data shown are Tukey box plots with a horizontal line representing the median, whiskers representing the 1.5× interquartile range and dots representing outliers. Healthy controls (n = 21), untreated patients (w/o, n = 11), IFN-β (n = 18), natalizumab (n = 16), and fingolimod (n = 24) treated patients. One-Way ANOVA with Tukey’s post hoc comparison or Kruskal-Wallis’ test with Dunn’s post hoc comparison for normally or non-normally distributed data, respectively. ∗p ≤ 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001. S1P and dhS1P level are affected by the respective treatment regime. (A–D) Sphinganines were determined from plasma of RRMS patients and healthy controls, as well as (E,F) S1P and dhS1P. Data shown are Tukey box plots with a horizontal line representing the median, whiskers representing the 1.5× interquartile range and dots representing outliers. Healthy controls (n = 21), untreated patients (w/o, n = 11), IFN-β (n = 18), natalizumab (n = 16), and fingolimod (n = 24) treated patients. One-Way ANOVA with Tukey’s post hoc comparison test or Kruskal-Wallis’ test with Dunn’s post hoc comparison for normally or non-normally distributed data, respectively. ∗p ≤ 0.05; ∗∗p < 0.01.

Ceramide and Sphinganines are not Affected by the Disease Status of RRMS Patients

Since IFN-β treatment strongly affected ceramide and sphinganine levels, further analysis was required to assess whether sphingolipid concentrations are affected by RRMS independently of the treatment regime. If it can be ruled out that the disease itself exerts an effect on sphingolipids, a specific increase of ceramide species may have potential as a marker of therapy response. Since IFN-β-treated patients were found to have elevated ceramide and sphingosine levels, they were omitted from the subsequent analysis (reduction to n = 56), except for the unaffected analytes C14:0 and C24:0 ceramide, and C24:0 and C24:1 sphinganine. Ceramides and sphinganines were assessed in relation to disease duration, time from sampling to the last or next relapse, and the EDSS score (Table ). Only minor correlations with the disease duration were observed, indicating changes in analyte levels to be predominantly induced by treatment and not by the disease per se. Plasma sphingosines and ceramides are not affected by RRMS, independent from the treatment.

Discussion

The oral prodrug fingolimod is known to act on the receptors for the bioactive sphingolipid S1P in secondary lymphoid organs. To date, no studies have examined a possible inverse effect of fingolimod and other MS drugs on the metabolism of sphingolipids. Our results indicate that no such effect is associated with fingolimod, but did reveal a strong and specific increase of ceramides of specific chain lengths especially in IFN-β-treated MS patients, compared to healthy controls, untreated patients or other treatment groups (Figures and ).

The Therapeutic Effect of IFN-β and Associated Side-Effects

IFN-β is believed to support regulatory functions of the immune system in MS, but the actual mode of action is not completely understood. Major side-effects of IFN-β therapy include injection site reactions and flu-like symptoms. Furthermore, IFN-β has been suggested to cause or exacerbate depression. Whereas this observation failed to reach significance on a single trial level, pooled data from several clinical trials clearly showed that IFN-β increased the rate of depression from 8% in the placebo-treated group to 5–18% in patients treated with 22–44 μg IFN-β via different administration routes (p = 0.017) (Patten et al., 2005). Accordingly, a switch from an injectable disease-modifying therapy (IFN-β or glatiramer acetate) to oral fingolimod improves depressive symptoms in patients with RRMS (Hunter et al., 2016).

Analogous to IFN-β-Treated MS Patients, Patients with Depression, Systemic Lupus Erythematosus or Parkinson’s Disease are Characterized by Increased Plasma Ceramides

Our data reveals that IFN-β specifically increased plasma ceramide level, especially C16:0, C18:0, C20:0, and C24:1 species, compared to healthy controls, untreated patients or other treatment groups (Figure ). C16:0 and C18:0 sphinganine showed a tendency to be increased compared to healthy controls (Figures , p = 0.06). S1P was not affected by IFN-β-treatment, but dhS1P was increased compared to healthy controls (p < 0.01, Figure ). Diverse pro-inflammatory cytokines, such as IFN-α, TNF-α, IL-1β, or IFN-γ induce sphingolipid metabolizing enzymes (Jenkins et al., 2010; Su et al., 2011) and especially IFN-α has already been shown to effect a decrease, for example, in HDL cholesterol in hepatitis C patients treated with IFN-α (Shinohara et al., 1997). Accordingly, a direct influence either of IFN-β itself or of IFN-β-induced cytokines on the metabolism of sphingolipids is to be expected. As mentioned above, ceramides can either be produced by the de novo pathway with the help of ceramide synthases or, alternatively, via “salvage” pathways, e.g., by recycling of sphingomyelin by the ASM or by recycling of S1P by the S1P phosphatases 1/2 (Figure ). Focusing on the “salvage” pathway originating from sphingomyelin, ASM is a ubiquitously expressed enzyme, activated by a variety of stress stimuli, e.g., IFN-α, TNF-α, IL-1β, or IFN-γ (Jenkins et al., 2010; Su et al., 2011). Non-MS patients with severe major depression have been found to have increased ASM activity in peripheral blood mononuclear cells (Kornhuber et al., 2005). Similarly, non-MS study participants with recent major depression within the previous 2 years reveal increased plasma levels of C16:0, C18:0, C20:0, C24:1, and C26:1 ceramide compared to subjects with less recent prior depression (>2 years before) or no history of depression. C22:0, C24:0, and C26:0 were not affected (Gracia-Garcia et al., 2011). These ceramide species are identical to the ones affected by IFN-β in our cohort. Schematic overview of the generation of C Ceramides are produced de novo by serine and palmitoyl-CoA or by “salvage” pathways, with recycling of sphingomyelin or sphingosine-1-phosphate. IFN-β increased e.g., C18:0 ceramide and sphinganine-1-phosphate (with a C18-backbone) as indicated by the arrows in brackets. Accordingly, the de novo synthesis and/or the “salvage” pathway may be activated by IFN-β therapy as indicated by bold arrows. While IFN-β reveals therapeutic effects in MS, increased type I IFN signaling is associated with SLE (Crow, 2010). Checa et al. detected increased concentrations of certain sphingolipids in SLE patients’ plasma compared to healthy controls, namely C16:0, C18:0, C20:0, and C24:1 ceramide, while C14:0, C22:0, and C24:0 were unaffected (Checa et al., in preparation, preliminary results with a lower number of patients published (Checa et al., 2016)). This characteristic pattern of ceramides resembles that observed in IFN-β-treated MS patients in our cohort (Figures and ) or individuals with recent major depression as reported by Gracia-Garcia et al. (2011). The same ceramides are also elevated in patients suffering from sporadic Parkinson’s disease with cognitive impairment (Mielke et al., 2013). Here again, C16:0, C18:0, C20:0, C22:0, C24:1, and C26:1 were elevated compared to patients without cognitive impairment, whereas C22:1, C24:0, and C26:0 ceramides were not affected. The same ceramide species were elevated compared to healthy controls albeit with slight differences in their level of significance. In summary, IFN-β treatment of RRMS specifically increased ceramides of certain specific chain-lengths. These ceramides are also elevated in patients with depression, SLE or sporadic Parkinson’s disease.

No Evidence for a Treatment-Independent Systemic Change of Sphingolipids in RRMS

To evaluate treatment-independent effects in RRMS, the influence of relapse, EDSS score, disease duration and time to the previous and next relapse were analyzed (Tables and ). It is important to note that not only S1P but also a number of other sphingolipids play an important role in the pathophysiology of MS. About 80% of the myelin sheath consists of lipids, predominantly sphingomyelins and galactosylceramides (also called “cerebrosides”). Autoantibodies against these lipids are often found in patients with MS (Menge et al., 2005). C18:0 ceramide accumulates in human MS lesions, while C16:0, C18:0, and C20:0 ceramides were found in lesions in a cuprizone animal model of demyelination (Kim et al., 2012). On contact with neurons, the CSF of MS patients induces bioenergetic dysfunction and oxidative damage, due to increased C16:0 and C24:0 ceramides (Vidaurre et al., 2014). The major cellular source of ceramides in MS is reactive astrocytes, which show enhanced expression of enzymes involved in sphingolipid metabolism (van Doorn et al., 2012). Interestingly, levels of the hexosylceramide HexCer16:0 in CSF correlated with the EDSS score of MS patients, indicating an accumulation over the course of disease (Checa et al., 2015). In neurodegeneration, especially in Alzheimer’s disease, ceramides have been shown to be increased in CSF and most brain regions (Mielke and Lyketsos, 2010). Furthermore, high plasma ceramides have been associated with greater disease progression (Mielke et al., 2012). In RRMS, however, we found no evidence of a treatment-independent systemic change in sphingolipids. Although ceramides have been shown to be locally released in MS lesions, increases in plasma ceramides comparable to those seen in patients with Alzheimer’s disease were not observed. Furthermore, especially untreated RRMS patients failed to show statistically significant differences compared to healthy controls. Therefore, ceramides and sphinganines are not influenced by the disease per se, but are increased due to specific effects of IFN-β therapy. In summary, we identified for the first time a previously unknown effect of IFN-β treatment on plasma ceramides: We found elevated levels of C16:0, C18:0, C20:0, and C24:1 ceramides in MS patients receiving IFN-β. The very same ceramides have already been shown to be elevated in patients with depression, SLE or sporadic Parkinson’s disease, thus indicating a molecular connection. As a prerequisite for biomarker development, we were able to demonstrate that ceramide and sphinganine levels are not affected by RRMS per se. Further research will be necessary to discover whether ceramide induction by IFN-β occurs as a result of increased ASM activity or due to the induction of other enzymes. In addition, further studies are required to assess the utility of ceramide induction as a biomarker in therapy responders, and to discover whether ceramide induction is involved in side-effects of IFN-β therapy.

Author Contributions

FO analyzed all data, wrote the manuscript, performed statistics, and designed the figures. CM helped designing the study, performed and supervised sample collection, and recruitment of patients and corrected the manuscript. NF and YS performed the LC-MS/MS determination of sphingolipids. AS and KS helped by designing the study, data interpretation, and writing the manuscript. HA helped with statistics and data analysis. JP supplied basic lab equipment. HR had the idea, designed and closely supervised all experiments, checked all data in detail and finalized the manuscript.

Conflict of Interest Statement

CM received travel grants from Genzyme pharma. All the other authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 1

Demographic details of RRMS patients and healthy controls.

Treatment groupHealthy controlsw/oIFN-βNatalizumabFingolimod
n2111181624
Sex [w/m]15/67/416/211/517/7
Age [mean]40.437.539.936.539.2
Age [range]22.1–55.623.5–53.823.3–59.3623.9–53.226.0–53.08
In relapse/remission [n]n/a11/05/137/98/16
Disease duration [years, mean]n/a6.07.27.211.9
Disease duration [years, range]n/a0–14.70.1–18.71.2–14.41.69–32.0
EDSS [mean, n]n/a1.5, n = 22.9, n = 72.8, n = 83.8, n = 16
EDSS [range]n/a1–22–41–7.52–6.5
Table 2

RRMS patients in remission and in relapse reveal no obvious differences in plasma sphingolipid concentrations.

Treatment groupIFN-βNatalizumabFingolimodAll (with untreated)
Relapse/remission [n]5/139/716/831/38
C14:0 ceramide0.0590.7580.0760.135
C16:0 ceramide0.7030.5360.0520.101
C18:0 ceramide0.0350.7580.5690.763
C20:0 ceramide0.1430.9180.4660.534
C24:0 ceramide0.1450.7190.6540.321
C24:1 Ceramide0.4790.9370.4750.766
C16:0 sphinganine0.7750.3510.5280.247
C18:0 sphinganine0.3361.0000.6530.914
C24:0 sphinganine0.3870.6070.6970.563
C24:1 sphinganine0.1730.6810.4170.866
S1P0.9130.9580.5800.719
dhS1P0.6330.2520.6100.971
Table 3

RRMS patients reveal a tendency of increased plasma ceramides compared to healthy controls.

RRMS patients [n = 69]
Healthy controls [n = 21]
p-value
meanSDmedianmeanSDmedian
C14:0 ceramide18.98.117.315.57.114.00.111
C16:0 ceramide650.9198.0635.1573.2152.2550.40.128
C18:0 ceramide164.673.8152.0138.644.8126.70.177
C20:0 ceramide385.1161.3370.7335.1104.7323.60.227
C24:0 ceramide6936.62165.26707.66143.71695.66178.50.128
C24:1 ceramide1560.4496.51513.61187.6452.21129.50.003
C16:0 sphinganine31.515.429.324.112.624.50.042
C18:0 sphinganine37.328.032.626.913.723.00.143
C24:0 sphinganine368.7172.6335.1307.9118.5268.70.100
C24:1 sphinganine249.6111.4222.3206.580.3181.20.141
S1P312.3111.6298.8347.878.1335.40.178
dhS1P57.227.550.240.113.239.40.006
Table 4

Plasma sphingosines and ceramides are not affected by RRMS, independent from the treatment.

Correlation withDisease durationTime to last relapseTime to next relapseEDSS
n = (IFN-β/non-IFN-β)69/5667/5429/2733/27
C14:0 ceramidea0.2460.0010.1070.243
C16:0 ceramideb0.152-0.1150.1490.030
C18:0 ceramideb0.006-0.1740.0620.014
C20:0 ceramideb0.101-0.0640.2500.146
C24:0 ceramidea0.2960.1120.0220.112
C24:1 ceramideb0.081-0.2540.0780.218
C16:0 sphinganineb0.2370.0570.201-0.162
C18:0 sphinganineb-0.0920.0080.052-0.331
C24:0 sphinganinea0.0890.1250.171-0.105
C24:1 sphinganinea-0.173-0.049-0.038-0.197
  35 in total

Review 1.  Fingolimod (FTY720): discovery and development of an oral drug to treat multiple sclerosis.

Authors:  Volker Brinkmann; Andreas Billich; Thomas Baumruker; Peter Heining; Robert Schmouder; Gordon Francis; Shreeram Aradhye; Pascale Burtin
Journal:  Nat Rev Drug Discov       Date:  2010-10-29       Impact factor: 84.694

2.  Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis.

Authors:  Melanie Greter; Frank L Heppner; Maria P Lemos; Bernhard M Odermatt; Norbert Goebels; Terri Laufer; Randolph J Noelle; Burkhard Becher
Journal:  Nat Med       Date:  2005-02-27       Impact factor: 53.440

3.  Elevated plasma ceramides in depression.

Authors:  Patricia Gracia-Garcia; Vani Rao; Norman J Haughey; Veera Venkata Ratnam Bandaru; Veera Venkata Ratnam Banduru; Gwenn Smith; Paul B Rosenberg; Antonio Lobo; Constantine G Lyketsos; Michelle M Mielke
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2011       Impact factor: 2.198

4.  The acid sphingomyelinase inhibitors block interferon-α-induced serotonin uptake via a COX-2/Akt/ERK/STAT-dependent pathway in T cells.

Authors:  Hui-Chen Su; Ching-Ting Ma; Chiou-Feng Lin; Hung-Tsung Wu; Yeu-Hui Chuang; Li-Jen Chen; Chiung-Wen Tsao
Journal:  Int Immunopharmacol       Date:  2011-07-30       Impact factor: 4.932

Review 5.  Multiple sclerosis: side effects of interferon beta therapy and their management.

Authors:  E U Walther; R Hohlfeld
Journal:  Neurology       Date:  1999-11-10       Impact factor: 9.910

Review 6.  Sphingolipids in multiple sclerosis.

Authors:  Arundhati Jana; Kalipada Pahan
Journal:  Neuromolecular Med       Date:  2010-07-07       Impact factor: 3.843

7.  A placebo-controlled trial of oral fingolimod in relapsing multiple sclerosis.

Authors:  Ludwig Kappos; Ernst-Wilhelm Radue; Paul O'Connor; Chris Polman; Reinhard Hohlfeld; Peter Calabresi; Krzysztof Selmaj; Catherine Agoropoulou; Malgorzata Leyk; Lixin Zhang-Auberson; Pascale Burtin
Journal:  N Engl J Med       Date:  2010-01-20       Impact factor: 91.245

8.  Impact of a switch to fingolimod on depressive symptoms in patients with relapsing multiple sclerosis: An analysis from the EPOC (Evaluate Patient OutComes) trial.

Authors:  Samuel F Hunter; Mark Agius; Deborah M Miller; Gary Cutter; Luigi Barbato; Kevin McCague; Xiangyi Meng; Neetu Agashivala; Peter Chin; Eric Hollander
Journal:  J Neurol Sci       Date:  2016-03-22       Impact factor: 3.181

Review 9.  Sphingosine-1-phosphate modulates dendritic cell function: focus on non-migratory effects in vitro and in vivo.

Authors:  Olga Arlt; Anja Schwiebs; Lukasz Japtok; Katja Rüger; Elisabeth Katzy; Burkhard Kleuser; Heinfried H Radeke
Journal:  Cell Physiol Biochem       Date:  2014-06-16

10.  Dystroglycan is selectively cleaved at the parenchymal basement membrane at sites of leukocyte extravasation in experimental autoimmune encephalomyelitis.

Authors:  Smriti Agrawal; Per Anderson; Madeleine Durbeej; Nico van Rooijen; Fredrik Ivars; Ghislain Opdenakker; Lydia M Sorokin
Journal:  J Exp Med       Date:  2006-04-03       Impact factor: 14.307

View more
  9 in total

Review 1.  Targeting Sphingosine Kinases for the Treatment of Cancer.

Authors:  Clayton S Lewis; Christina Voelkel-Johnson; Charles D Smith
Journal:  Adv Cancer Res       Date:  2018-06-09       Impact factor: 6.242

2.  Cancer-induced inflammation and inflammation-induced cancer in colon: a role for S1P lyase.

Authors:  Anja Schwiebs; Martina Herrero San Juan; Katrin G Schmidt; Eliza Wiercinska; Martin Anlauf; Florian Ottenlinger; Dominique Thomas; Eiman Elwakeel; Andreas Weigert; Henner F Farin; Halvard Bonig; Klaus Scholich; Gerd Geisslinger; Josef M Pfeilschifter; Heinfried H Radeke
Journal:  Oncogene       Date:  2019-02-28       Impact factor: 9.867

3.  Preanalytical Biases in the Measurement of Human Blood Sphingolipids.

Authors:  Robert Brunkhorst; Waltraud Pfeilschifter; Sammy Patyna; Stefan Büttner; Timon Eckes; Sandra Trautmann; Dominique Thomas; Josef Pfeilschifter; Alexander Koch
Journal:  Int J Mol Sci       Date:  2018-05-07       Impact factor: 5.923

4.  Body Mass Index in Multiple Sclerosis modulates ceramide-induced DNA methylation and disease course.

Authors:  Kamilah Castro; Achilles Ntranos; Mario Amatruda; Maria Petracca; Peter Kosa; Emily Y Chen; Johannes Morstein; Dirk Trauner; Corey T Watson; Michael A Kiebish; Bibiana Bielekova; Matilde Inglese; Ilana Katz Sand; Patrizia Casaccia
Journal:  EBioMedicine       Date:  2019-04-10       Impact factor: 8.143

Review 5.  Viral Infections and Interferons in the Development of Obesity.

Authors:  Yun Tian; Jordan Jennings; Yuanying Gong; Yongming Sang
Journal:  Biomolecules       Date:  2019-11-12

6.  Potential role of indolelactate and butyrate in multiple sclerosis revealed by integrated microbiome-metabolome analysis.

Authors:  Izhak Levi; Michael Gurevich; Gal Perlman; David Magalashvili; Shay Menascu; Noam Bar; Anastasia Godneva; Liron Zahavi; Danyel Chermon; Noa Kosower; Bat Chen Wolf; Gal Malka; Maya Lotan-Pompan; Adina Weinberger; Erez Yirmiya; Daphna Rothschild; Sigal Leviatan; Avishag Tsur; Maria Didkin; Sapir Dreyer; Hen Eizikovitz; Yamit Titngi; Sue Mayost; Polina Sonis; Mark Dolev; Yael Stern; Anat Achiron; Eran Segal
Journal:  Cell Rep Med       Date:  2021-04-20

7.  The Evaluation of Oxidative Stress Parameters in Serum Patients with Relapsing-Remitting Multiple Sclerosis Treated with II-Line Immunomodulatory Therapy.

Authors:  Bożena Adamczyk; Sławomir Wawrzyniak; Sławomir Kasperczyk; Monika Adamczyk-Sowa
Journal:  Oxid Med Cell Longev       Date:  2017-09-12       Impact factor: 6.543

Review 8.  Metabolic Dysfunction and Peroxisome Proliferator-Activated Receptors (PPAR) in Multiple Sclerosis.

Authors:  Véronique Ferret-Sena; Carlos Capela; Armando Sena
Journal:  Int J Mol Sci       Date:  2018-06-01       Impact factor: 5.923

Review 9.  New Insights into Multiple Sclerosis Mechanisms: Lipids on the Track to Control Inflammation and Neurodegeneration.

Authors:  Maria Podbielska; Joan O'Keeffe; Anna Pokryszko-Dragan
Journal:  Int J Mol Sci       Date:  2021-07-07       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.