Can Araman1, Miriam E van Gent1, Nico J Meeuwenoord2, Nicole Heijmans3, Mikkel H S Marqvorsen1, Ward Doelman1, Bart W Faber4, Bert A 't Hart3,5, Sander I Van Kasteren1. 1. Leiden Institute of Chemistry and Institute for Chemical Immunology , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands. 2. Leiden Institute of Chemistry and Department of Bioorganic Synthesis , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands. 3. Department of Immunobiology , Biomedical Primate Research Centre , 2288 GJ Rijswijk , The Netherlands. 4. Department of Parasitology , Biomedical Primate Research Centre , 2288 GJ Rijswijk , The Netherlands. 5. Department of Neuroscience , University of Groningen, University Medical Centre , 9700 AB Groningen , The Netherlands.
Abstract
Multiple sclerosis (MS) is an autoimmune disorder manifested via chronic inflammation, demyelination, and neurodegeneration inside the central nervous system. The progressive phase of MS is characterized by neurodegeneration, but unlike classical neurodegenerative diseases, amyloid-like aggregation of self-proteins has not been documented. There is evidence that citrullination protects an immunodominant peptide of human myelin oligodendrocyte glycoprotein (MOG34-56) against destructive processing in Epstein-Barr virus-infected B-lymphocytes (EBV-BLCs) in marmosets and causes exacerbation of ongoing MS-like encephalopathies in mice. Here we collected evidence that citrullination of MOG can also lead to amyloid-like behavior shifting the disease pathogenesis toward neurodegeneration. We observed that an immunodominant MOG peptide, MOG35-55, displays amyloid-like behavior upon site-specific citrullination at positions 41, 46, and/or 52. These amyloid aggregates are shown to be toxic to the EBV-BLCs and to dendritic cells at concentrations favored for antigen presentation, suggesting a role of amyloid-like aggregation in the pathogenesis of progressive MS.
Multiple sclerosis (MS) is an autoimmune disorder manifested via chronic inflammation, demyelination, and neurodegeneration inside the central nervous system. The progressive phase of MS is characterized by neurodegeneration, but unlike classical neurodegenerative diseases, amyloid-like aggregation of self-proteins has not been documented. There is evidence that citrullination protects an immunodominant peptide of humanmyelin oligodendrocyte glycoprotein (MOG34-56) against destructive processing in Epstein-Barr virus-infected B-lymphocytes (EBV-BLCs) in marmosets and causes exacerbation of ongoing MS-like encephalopathies in mice. Here we collected evidence that citrullination of MOG can also lead to amyloid-like behavior shifting the disease pathogenesis toward neurodegeneration. We observed that an immunodominant MOG peptide, MOG35-55, displays amyloid-like behavior upon site-specific citrullination at positions 41, 46, and/or 52. These amyloid aggregates are shown to be toxic to the EBV-BLCs and to dendritic cells at concentrations favored for antigen presentation, suggesting a role of amyloid-like aggregation in the pathogenesis of progressive MS.
Multiple
sclerosis (MS) is a
group of autoimmune-driven neuroinflammatory disorders that are pathologically
characterized by myelin sheath loss (demyelination) and axonal damage.[1] The disease starts in ±85% of the patients
with alternating episodes of neurological defects (relapse) and recovery
(remission), so-called relapsing–remitting MS (RRMS), which
in ±60% of MS patients converts to secondary progressive disease
with chronic progression. Approximately 10–15% of MS patients
show chronic progression from disease onset, a course called primary
progressive multiple sclerosis (PPMS).[2] While there are several therapies available for the treatment of
RRMS, few therapeutic options yet exist for PPMS. This is due to their
fundamentally different pathophysiology.[3] Recently, anti-B-cell antibody therapy was approved for the treatment
of PPMS,[3] which ties in with the hypothesis
that—aside from genetic predispositions and well-characterized
environmental factors such as smoking and sun exposure (vitamin D)—viral
infections play a role in MS pathogenesis, especially in PPMS.[4] In particular, Epstein-Barr virus (EBV) infection,
which has a selective tropism for B-lymphocytes (BLCs), has been
considered to be a prerequisite for MS pathogenesis.[5,6] One of the presumed effects of viral infection upon MS emergence
is the qualitative alteration of the protein composition of myelin,
especially myelin oligodendrocyte glycoprotein (MOG).[7,8] Studies in mouse and non-human primate models of experimental autoimmune
encephalomyelitis (EAE) revealed that MOG is an essential myelin component
for the experimental induction of T- and B-cell autoimmunity in chronic
progressive disease.[9,10] Moreover, the marmoset EAE model
has been reported to share pathological hallmarks of progressive MS
when immunized with an immunorelevant CD8+ T-cell epitope of humanMOG, MOG34–56, and incomplete Freund’s adjuvant
(IFA).[11,12]MOG is expressed as a homodimer on
the surface of oligodendrocytes,
the myelin-forming glial cells of the central nervous system (CNS),
and on the outermost lamellae of the myelin sheaths that wrap around
axons, forming a protective layer that is essential for fast pulse
conduction and trophic support of energy-demanding axons.[13] The exact biological function of MOG is not
known, but there is evidence that the N-linked glycan at position
31 interacts with the C-type lectin receptor DC-SIGN, which is expressed
on microglial cells and on antigen-presenting cells within the brain-draining
cervical lymph nodes (CLNs).[14] As ligands
of DC-SIGN are known to suppress maturation of dendritic cells to
a full immunogenic state, we previously posited that MOG may have
a role in the avoidance of autoreactive T-cell activation and neuroinflammation.[15,16]In addition to the findings described above, there is solid
evidence
for a link between the chronic inflammation via the production of
reactive oxygen/nitrogen species (ROS/RNS)[17] and the dysregulation of the ionic balance, especially due to an
increase in intracellular Ca2+-ion concentrations.[18] The latter event in turn upregulates the activation
of peptidyl arginine deiminases (PADs), which then convert arginines
(Arg) into citrullines (Cit). Citrullinated self-proteins have been
shown to become antigenic, as described by Toes and co-workers for
vinculin (VCL) in another autoimmune disease, rheumatoid arthritis
(RA).[19] Moreover, myelin basic protein
(MBP), a major component of the myelin sheath, has been found to be
progressively hypercitrullinated[20,21] (∼45%
citrullinated MBP in MS and ∼100% in the acute neuroinflammatory
disorder Marburg’s disease). More recently, Woodroofe and colleagues
showed that glial fibrillary acidic protein (GFAP) can be detected
as an additional, aberrantly citrullinated protein in MS.[22] Finally, the MS relevant murine T-cell epitope
of MOG, MOG35–55, has been reported to exacerbate
EAE in mice if citrullinated[23] at position
41, a contact residue for T-cell receptors (TCRs).[24] Moreover, in this study, an exacerbation of disease progression
was observed when T-cells specific for citrullinated MOG35–55 were transferred to mice with ongoing, native peptide-induced EAE.
Taken together, these data suggested a critical role for citrullination
of MOG and other components of the myelin sheath in MS progression.One essential question that remains unanswered is whether neurodegeneration
or peripheral inflammation is the primary cause of PPMS, as neuronal
atrophy occurs away from immune cell-containing zones in this disease.
Neuronal damage may therefore not be due to direct immune cell–sheath
contact. As many other neurodegenerative diseases are characterized
by post-translational modification (PTM) of proteins leading to aggregation
and accumulation of aggregates within brain tissue [e.g., in transmissible
spongiform encephalopathies (TSEs; prion protein, PrP),[25] Alzheimer’s disease (amyloid-β
and tau protein),[26,27] and Parkinson’s disease
(α-synuclein)],[28] we hypothesized
that PPMS may also have an aggregation-induced component to its disease
pathology. However, unlike for these classical neurodegenerative diseases,
a misfolded autoantigen has not been documented for progressive MS.[29,30] Comparing the structures of misfolded PrP models[31] with the β-sheet rich crystal structure of native
MOG protein (depicted in Figure ),[32] we hypothesized that
MOG or a PTM variant of MOG could be the species forming amyloid fibrils
in PPMS due to potential structural changes (i.e., conversion from
β-sheet to cross-β-sheet) upon citrullination, which are
ordered structures of misfolding proteins usually described by seeding
nucleation or nucleation-dependent polymerization models.[33]
Figure 1
Strategy and proposed mechanism for amyloid aggregation-driven
cytotoxicity of MOG. (1) Crystal structure of rMOG (Protein Data Bank
entry 1PKO)
with critical arginine residues 41 and 46 (highlighted as Arg 41 and
46, respectively). The image was generated with PyMOL. For our strategy,
rMOG is degraded into immunorelevant epitope 35–55 with either
none or double Arg → Cit mutations at position 41, 46, or 52.
(2) MOG35–55 is subjected to misfolding at acidic
pH as can be found in microvesicles (MVs) intracellularly and forms
amyloid-like aggregates in vitro. (3) In
cellulo mechanism of cytotoxicity. Monomeric MOG35–55 is taken up by the cells via MVs and undergoes amyloid-like aggregation
in the acidic environment of MVs, and upon release, amyloid aggregates
cause cytotoxicity in certain cell types such as phagocytes.
Strategy and proposed mechanism for amyloid aggregation-driven
cytotoxicity of MOG. (1) Crystal structure of rMOG (Protein Data Bank
entry 1PKO)
with critical arginine residues 41 and 46 (highlighted as Arg 41 and
46, respectively). The image was generated with PyMOL. For our strategy,
rMOG is degraded into immunorelevant epitope 35–55 with either
none or double Arg → Cit mutations at position 41, 46, or 52.
(2) MOG35–55 is subjected to misfolding at acidic
pH as can be found in microvesicles (MVs) intracellularly and forms
amyloid-like aggregates in vitro. (3) In
cellulo mechanism of cytotoxicity. Monomeric MOG35–55 is taken up by the cells via MVs and undergoes amyloid-like aggregation
in the acidic environment of MVs, and upon release, amyloid aggregates
cause cytotoxicity in certain cell types such as phagocytes.Here we test the hypothesis that
PPMS carries an amyloid component
by assessing the aggregation characteristics of MOG as well as the
key MOG-derived immunodominant peptides containing the relevant T-cell
epitopes in vitro. These characteristics were investigated in vitro using a thioflavin T (ThT) assay[34] and in vivo using a novel bioorthogonal
chemistry-based approach. We found that the recombinant MOG protein
was non-immunogenic but that the peptide fragments indeed displayed
amyloid behavior (Figure ). Moreover, they displayed this behavior only upon citrullination
at specific positions and showed enhanced aggregation at the pH values
found in the B-cell lysosome. The resulting fibrils were shown to
be toxic to phagocytes, such as bone marrow-derived dendritic cells
(BMDCs) and the BLCs in which they were generated. Furthermore, amyloid-like
aggregation altered the antigenicity of citrullinated MOGpeptides
in a concentration-dependent manner, resulting in high cytotoxicity
at physiological concentrations. This study provides the first evidence
that amyloid fibril formation may play a role in PPMS pathogenesis
and disease progression.
Materials and Methods
Fmoc SPPS, Peptide Analysis,
and Purification
Peptides
were prepared either manually or on automated synthesizer (PTI Tribute
UV-IR synthesizer, Gyros Protein Technologies). For manual synthesis,
Fmoc deprotection was achieved with 20% piperidine in dimethylformamide
(DMF) using two cycles of 3 and 7 min. All amino acids (2.5 equiv)
were coupled using HCTU (2.38 equiv) and DIEPA (5 equiv) for 30 mins,
unless stated otherwise. For
automated peptide synthesis, 5.0 equiv of each amino acid (aa) on
a 100–200 μmol scale and 6.0 equiv of each aa on a 50
μmol scale with respect to the resin loading were used. An equimolar
quantity of HCTU was used as an activator. Coupling cycles of 1 h
were utilized, and unreacted amines were capped after each cycle using
a solution of 500 μL of acetic anhydride, 250 μL of DIPEA,
and 4.25 mL of DMF for 5 min at room temperature twice. Peptides were
globally deprotected and cleaved from dried resin with a mixture of
TFA, triisopropylsilane (TIS), and water [92.5:5:2.5 (v/v)] for at
least 3 h at room temperature. Precipitation of crude peptides was
achieved by addition of cold diethyl ether. Isolated peptides were
lyophilized overnight. Peptides were characterized using electrospray
ionization mass spectrometry (ESI-MS) on a Thermo Finnigan LCQ Advantage
Max LC-MS instrument with a Surveyor PDA plus UV detector or an Agilent
6120 Quadrupole LC-MS instrument with an Agilent 1260 Infinity high-performance
liquid chromatography (HPLC) system. On both systems, a Gemini-NX
C18 column (Phenomenex, 3 μm, 110 Å, 50 mm × 4.6 mm)
was used. Peptides were analyzed using a gradient from 10 to 90% or
from 10 to 50% of B over 10–20 min (eluent A, H2O; eluent B, acetonitrile; eluent C, 1% TFA in H2O; eluent
D, methanol). Peptide masses were calculated from the experimental
mass to charge (m/z) ratios from
all of the observed protonation states of the peptides using the Xcalibur
Qual Browser or LC-MS_6120B software. Lyophilized peptides were dissolved
in a mixture of tert-butanol, acetonitrile (ACN),
and water [1:1:1 (v/v)] unless stated otherwise and purified using
a preparative HPLC system (Gilson Inc.) with a Gemini-NX C18 semipreparative
column (Phenomenex, 5 μm, 110 Å, 250 mm × 10.0 mm)
with a linear gradient from 20 to 30% B in 30 min (eluent A, 0.2%
TFA in H2O; eluent B, ACN). Fractions containing the peptides
were pooled and lyophilized overnight.
Biophysical Characterization
Circular
Dichroism (CD) Spectroscopy
Circular dichroism
spectroscopy was performed at room temperature using a Jasco J-815
CD spectrometer with a 1 mm path-length cell and a bandwidth of 2.0
nm. The proteins were prepared either in 20 mM Tris buffer (pH 7.5)
or in 20 mM NaOAc buffer (pH 5.0). Further analysis was performed
via addition of 2–4 mM SDS (β-sheet enhancer) or 50%
TFE (α-helix enhancer) with a final peptide concentration of
0.1–0.2 mg/mL. Spectra were recorded from 260 to 190 nm at
an interval of 1 nm. Each spectrum was the average of five scans and
blank subtraction.
ThT Fluorescence Aggregation Assay
Aggregation assays
were modified from those described by Araman et al.[67] The experiments were performed in 96-well plates at 37
°C using the Infinite M1000 Pro Tecan plate reader with an excitation
wavelength of 444 nm and an emission wavelength of 485 nm with a bandwidth
of 10 nm. A mixture of 199 μL of peptide (200 μM to 2
μM) and 1 μL of ThT was measured in each well at a 20000
μm z-position over time with a kinetic interval of 10 min.
Transmission Electron Microscopy (TEM)
TEM imaging
was conducted on a JEOL 1010 instrument operated with an accelerating
voltage of 70 kV. Samples were diluted to final concentrations of
1–5 μM. A single drop (approximately 1 μL) was
applied on the grid (PELCO Center-Marked Grids, 75 mesh, 3.0 mm outside
diameter, copper) and drained with the corner of a tissue. The grid
was left to dry for 1–3 h prior to measurement.
Dynamic Light
Scattering (DLS)
The hydrodynamic diameter
(Rhyd) of amyloid fibrils of MOGpeptides 5 and 7 was assessed by dynamic light scattering
(DLS) spectroscopy on a Zetasizer Nano S (Malvern Instruments, Malvern,
U.K.) using PMMA small-volume cuvettes (VWR international, Leuven,
Belgium). Hereby, the working concentration was ∼20 μM
in 20 mM NaOAc (pH 5).
Cell Biology
B3Z T-Cell Hybridoma Culture
Mouse B3Z T-cell hybridomas
were cultured as described previously.[68]
B-Cell Culture
HumanEBV-infected lymphoblastoid cell
line BSM (ECACC 88052032) was purchased from Sigma-Aldrich and cultured
in polystyrene tissue culture flasks in RPMI 1640 (GIBCO), 2 mM glutamine
(GIBCO, catalog no. 35050-038), 10% FCS (TIC Europ, catalog no. 61024-C05),
and 100 units/mL penicillin/streptomycin (GIBCO, catalog no. 15140-122)
in a 5% CO2 atmosphere at 37 °C and diluted every
3–4 days at a concentration of ∼0.5 × 106 cells/mL.
Bone Marrow Dendritic Cell Culture
Bone marrow (BM)
was isolated from 8–12-week-old C57BL/6 mice (strain C57Bl/6NHsd,
H-2b haplotype; Envigo Inc., Huntingdon, U.K.) as described
previously[69] with some modifications; 8–12-week-old
mice were kept under specific pathogen-free (SPF) conditions in our
own facilities. Femurs and tibiae of female or male mice were removed
and cleaned from the surrounding muscle tissue. Then, intact bones
were left in 70% ethanol for 2–5 min for disinfection and washed
with sterile phosphate-buffered saline (PBS). Next, both ends were
cut with scissors, and bone marrow was flushed from femurs and tibiae
with prewarmed IMDM (Sigma) using a 20 mL syringe with a 0.45 mm ×
23 mm hypodermic needle (G26, Terumo Europe, NN-2623R) through a 70
μm cell strainer (Falcon). Isolated BM cells were centrifuged
for 5 min at 350g and resuspended in 10 mL of IMDM
supplemented with 8% heat-inactivated fetal calf serum (FCS, Sigma),
2 mM Glutamax (GIBCO), 20 μM 2-mercaptoethanol (Gibco), 50 IU/mL
penicillin, and 50 μg/mL streptomycin in the presence of 20
ng/mL rmGM-CSF (Peprotech). The cell suspension was diluted to ∼0.5–1
× 106 cells/mL in complete medium, and cells were
incubated in non-adhesive Petri dishes (Sarstedt) at 37 °C and
5% CO2 for 6–7 days.
Cell Viability Assay with
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
Bromide (MTT)
The cell viability of BMDCs and B3Zs was tested
via the MTT assay. For this purpose, the following protocols were
used. BMDCs and B3Zs were seeded in a 96-well plate at a density of
2.5 × 104 cells/well and treated with varying amounts
of peptides 1, 5, and 7 in
IMDM (20, 10, 5, and 3 μM) incubated overnight at 37 °C
and 5% CO2. Medium with (control) and medium without 2.5
× 104 cells (blank) were used as controls. After incubation
for 24 h, cells were centrifuged (350g for 5 min
at 4 °C), the supernatant was discarded, and 100 μL of
0.5 mg/mL MTT [diluted 1:10 (v/v) from a 5 mg/mL MTT stock solution
in PBS] was added to each well. Upon incubation for 3–4 h at
37 °C and formation of intracellular formazan crystals, the supernatant
was removed and the solubilizing solution (DMSO, 100 μL) was
added. The plate was incubated for a further 30 min at 37 °C,
and the absorbance was measured at 540 nm (A540) as well as 570 nm (Tecan M1000 plate reader). The following
equation was used to assess cell viability:
T-Cell Culture Assay
Mononuclear cells (MNC) isolated
from axillary lymph nodes (ALN) were obtained from two adult common
marmosets (Callithrix jacchus) that had been enrolled
in earlier EAE studies. The cells have been stored deep-frozen directly
after being isolated. All marmosets were acquired from the purpose-bred
colony at the Biomedical Primate Research Centre and declared in good
health by veterinary staff prior to enrollment in the study. Health
checks included physical examination and tests for hematological,
serological, and microbiological abnormalities. The used EAE model
was induced with a synthetic peptide representing residues 34–56
of humanmyelin oligodendrocyte glycoprotein (MOG34–56; Cambridge Research Biochemicals Ltd., Cleveland, U.K.; sequence
of GMEVGWYRPPFSRVVHLYRNGKD) emulsified
with IFA (Difco Laboratories, Detroit, MI) as previously described.[68] As antigen-presenting cells, EBV-infected marmoset
B-lymphoblastoid cells (BLCs) were used. BLC lines were generated
by infection of blood MNC with humanEpstein-Barr virus propagated
in marmoset cell line B95-8.[70] Briefly,
PBMCs were cultured with supernatants from the EBV-producing B95-8
cell line for 1.5 h at 37 °C. Following incubation, cells were
diluted at a 1:1 ratio with RPMI-1640 (GIBCO) containing 1 μg/mL
phytohemeagglutinin (PHA) and supplemented with 10% fetal calf serum
(FCS), l-alanyl-l-glutamine (GIBCO), and penicillin/streptomycin
as antibiotics. Following successful transformation, cells were maintained
in culture medium without PHA until further use. For proliferation
experiments, marmosetEBV-BLCs were collected, washed in PBS, and
irradiated with 70 Gy in RPMI-1640 without FCS. Cells were plated
in round-bottom 96-well plates (Greiner) at a concentration of 1 ×
103 cells/well together with different concentrations of
the peptides (30, 10, 3, and 1 μg/mL; the medium was taken as
a negative control) in a humidified atmosphere of 5% CO2 in culture medium with 10% FCS at 37 °C. After 1 h, freshly
thawed marmoset ALN cells were added to the BLCs at a density of 1
× 105 cells/well. After 48 h, 25 μL of [methyl-3H]thymidine (0.1 mCi/mL stock; PerkinElmer)
was added, and 18 h later, the cells were harvested using a FilterMate
Harvester (PerkinElmer) on a microfilter plate. After the plate had
dried, 25 μL of microscinttm-E (PerkinElmer) was
added, and [3H]thymidine incorporation was measured in
a microBeta microplate counter (PerkinElmer).
For peptide toxicity assessment, EBV-BLCs were prestained
with CellTrace (Molecular Probes) for 20 min at room temperature.
Labeled cells were plated in round-bottom 96-well plates (Greiner)
at a concentration of 1 × 103 cells/well and incubated
with different concentrations of the peptides (30, 10, 3, and 1 μg/mL;
the medium was taken as a negative control) for 1 h in a humidified
atmosphere of 5% CO2 in culture medium with 10% FCS at
37 °C. After 1 h, freshly thawed mononuclear cells isolated from
the axillary lymph nodes of an EAE marmoset were added to the BLCs
at a density of 1 × 105 cells/well. After incubation
for 24 h, the cells were harvested and stained with life/death marker
(ebioscience, catalog no. 65-0866-14) to exclude dead cells. Subsequently,
cells were stained for apoptosis with AnnexinV-APC (BD, catalog no.
550474). Cells were fixed in 1% PFA/AnnexinV binding buffer (BD Biosciences)
prior to measurement of fluorochrome binding. Flow cytometric measurements
were performed utilizing the FACS LSRII instrument fitted with FACSDiva
5.0 (BD Biosciences), and data were analyzed with FlowJo software
(Treestar, Ashland, OR). On FACS plots, cells were gated as CellTrace+
or CellTrace– cells; both groups were gated for AnnexinV and
the LD marker.
Immunofluorescence Microscopy
Cultures
of 1.5 ×
106 BSM BLCs/well were set up with different concentrations
of the peptides (25 and 6.25 μM; the medium was taken as a negative
control) in R0 medium. The cells were incubated for 16 h in a humidified
atmosphere at 37 °C. Cytospin preparations were made by centrifuging
(3 min at 28g) 5 × 104 cells on microscopy
glass slides using a Shandon Cytospin 4 Thermo centrifuge. Slides
were air-dried overnight at room temperature and stored at −80
°C. Before being stained, slides were thawed and air-dried for
30 min at room temperature. Postfixation was performed with 4% PFA
(Affymetrix, catalog no. 19943 1LT) for 15 min, and cells were permeabilized
and blocked with block/permeabilization buffer [0.1% fish gelatin
(Sigma-Aldrich, catalog no. 67041), 0.1% BSA (Sigma-Aldrich, catalog
no. A9647), and 0.5% Triton X-100 (Sigma-Aldrich, catalog no. T8787)
in PBS (GIBCO)] for 1 h at room temperature. Cells were stained with
LC3 (nanotools, catalog no. 0231-100/LC3-5F10) in a 1:20 ratio in
blocking buffer overnight at 4 °C and stained with anti-mouseFITC in a 1:400 ratio in blocking buffer for 1 h at room temperature
in the dark. The peptides were detected using a click mixture [0.064
mM CuSO4, 0.038 mM sodium ascorbate, 0.25 mM tris-hydroxypropyltriazolylmethylamine
(THPTA), and fluorophore AF-647-azide 1:160 in 100 mM Tris (pH 8.0)]
for 1 h at room temperature in the dark, washed, and mounted with
prolonged diamond antifade mounting medium with DAPI (life technologies,
catalog no. P36971). Pictures were taken using the fluorescence microscope
(Leica, catalog no. DFC 365 FX) with Leica application suite X 3.4,2.18368
and analyzed using ImageJ 1.50i (http://imagej.nih.gov/ij).
Results
Citrullination
of MOG35–55 Peptides Alters
Their Structural Behavior
We first analyzed the aggregation
properties of the extracellular portion of recombinant MOG (aa 1–125,
hereafter termed rMOG) and its percitrullinated counterpart, cit-rMOG,
using a ThT assay. ThT is a fluorogenic dye, which becomes fluorescent
upon binding to cross-β-sheet structures, such as those found
in amyloid aggregates.[34] In brief, proteins
were dissolved in 20 mM NaOAc buffer (pH 5.0). Upon addition of ThT
and incubation under gentle agitation, the fluorescence emission was
recorded at 485 nm over a period of at least 15 h to monitor the propensity
of the proteins toward amyloid-like aggregation. rMOG and cit-rMOG
were assessed for aggregation under these conditions, but neither
protein showed any aggregation (Figure S1). We thus hypothesized that it was not rMOG that was the aggregating
species but a fragment produced by proteolytic processing. We focused
on the immuno-dominant peptide 35–55 and synthesized eight
peptides spanning aa 35–55 of the native MOG sequence carrying
TCR contact residues (aa 41–48) and site-specific citrulline
residues at the respective (aa 41, 46, and/or 52) positions (Scheme and Table , 1–8).
Elongated variants (aa 31–55) were also prepared, as were bioorthogonal
variants carrying propargylglycine (Pg) as a bioorthogonal handle
at position 31 that would allow in-cell visualization (Scheme and Table , 9–12). All peptides
were synthesized in good yields (5.3–34.9%) and very good purity
[>95%; determined by integrating the peak areas on analytical HPLC
measurements (Table )]. All MOG35–55 peptides were analyzed by liquid
chromatography and mass spectrometry (LC–MS) (Figures S2–S9) and circular dichroism (CD) spectroscopy
(Figure a–c
and Figure S10). We observed predominantly
random coil structures at two pH values (5.0 and 7.5; chosen for their
pathophysiological relevance of being the pH in the endosomal pathway
of BLCs and the extracellular pH, respectively), which are in good
agreement with the results reported by Albouz-Abo et al.[35] for mouseMOG35–55. All our
synthetic peptides adopted an α-helical structure upon addition
of 50% 2,2,2-trifluoroethanol (TFE), a known stabilizer of α-helical
conformations in proteins and peptides[36] (Figure a–c
and Figure S10). In our hands, in the presence
of SDS, nonmicellar (β-sheet enhancer)[37] peptides 1 and 4 adopted β-sheet
rich structures (Figure b and Figure S10C). Peptides 2, 3, 6, and 7, however, seemed
to adopt a random coil structure under the same conditions (Figure S10A,B,D for 2, 3, and 6 and Figure c for 7). Moreover, 5 and 8 adopted α-helical structures. This indicates that
the peptides have distinct structures depending on the external solution
conditions.
Scheme 1
Schematic Representation of MOG-Derived Peptides MOG35–55 and MOG31–55 with Their Amino
Acid Sequences and
Positions for Arg → Cit Mutations (colored pink)
Table 1
Synthesized MOG Derivatives
Figure 2
(a–c) Biophysical characterization and (d–h)
ThT
aggregation assay for peptides 1, 5, and 7. (a) CD spectrum of 1 at pH 5.0 and 7.5 and
with additives (TFE and SDS) at 50 μM. (b) CD spectrum of 5 at pH 5.0 and 7.5 and with additives (TFE and SDS) at 50
μM. (c) CD spectrum of 7 at pH 5.0 and 7.5 and
with additives (TFE and SDS) at 50 μM. All spectra were recorded
from 190 to 260 nm and reflect an average of at least five independent
measurements: (black circles) sample in 20 mM Tris buffer (pH 7.5),
(gray squares) sample in 20 mM sodium acetate (NaOAc) buffer, (red
triangles) sample treated with 50% (v/v) TFE, and (blue triangles)
sample treated with micellar concentrations of SDS (2–4 mM).
(d–f) ThT fluorescence spectra of peptides 1, 5, and 7, respectively. All data were recorded
at an excitation wavelength of 444 ± 9 nm and an emission wavelength
of 485 ± 9 nm. All samples were used at a pH of 5.0 with varying
concentrations: (black circles) 200 μM, (gray squares) 160 μM,
(dark blue triangles) 120 μM, (light blue triangles) 80 μM,
(purple diamonds) 40 μM, (red circles) 20 μM, (red squares)
10 μM, (pink triangles) 3 μM, and (white triangles) 1
μM. The fluorescence change is normalized to 20 mM NaOAc (pH
5) treated with an equal amount of ThT as in the samples. (g and h)
ThT fluorescence spectral data (d–f) of peptides 7 and 5 at time point t = 15 h (representing
the end point of aggregation kinetics). All aggregation assays were
performed at least three times and with experimental triplicates.
(a–c) Biophysical characterization and (d–h)
ThT
aggregation assay for peptides 1, 5, and 7. (a) CD spectrum of 1 at pH 5.0 and 7.5 and
with additives (TFE and SDS) at 50 μM. (b) CD spectrum of 5 at pH 5.0 and 7.5 and with additives (TFE and SDS) at 50
μM. (c) CD spectrum of 7 at pH 5.0 and 7.5 and
with additives (TFE and SDS) at 50 μM. All spectra were recorded
from 190 to 260 nm and reflect an average of at least five independent
measurements: (black circles) sample in 20 mM Tris buffer (pH 7.5),
(gray squares) sample in 20 mM sodium acetate (NaOAc) buffer, (red
triangles) sample treated with 50% (v/v) TFE, and (blue triangles)
sample treated with micellar concentrations of SDS (2–4 mM).
(d–f) ThT fluorescence spectra of peptides 1, 5, and 7, respectively. All data were recorded
at an excitation wavelength of 444 ± 9 nm and an emission wavelength
of 485 ± 9 nm. All samples were used at a pH of 5.0 with varying
concentrations: (black circles) 200 μM, (gray squares) 160 μM,
(dark blue triangles) 120 μM, (light blue triangles) 80 μM,
(purple diamonds) 40 μM, (red circles) 20 μM, (red squares)
10 μM, (pink triangles) 3 μM, and (white triangles) 1
μM. The fluorescence change is normalized to 20 mM NaOAc (pH
5) treated with an equal amount of ThT as in the samples. (g and h)
ThT fluorescence spectral data (d–f) of peptides 7 and 5 at time point t = 15 h (representing
the end point of aggregation kinetics). All aggregation assays were
performed at least three times and with experimental triplicates.
Citrullinated MOG Peptides
Show Amyloid-like Aggregation
Next, we asked whether the
peptides were prone to amyloid-like aggregation.
To investigate amyloid-like aggregation using the aforementioned ThT
fluorescence assay, peptides (200 μM, Figure and Figure S11) were dissolved in buffers with a pH range of 3.0–7.0. Noncitrullinated
peptide 1 did not show any aggregation at any pH or at
any of the concentrations tested (Figure S11 and Figure d). Citrullinated
peptides 2–7, on the other hand, showed pH-dependent
aggregation characteristics with the strongest aggregation observed
at pH 4.0 or 5.0, which is the pH range found within the B-cell lysosomal
pathway (Figure S11). At all other pH values
tested, either no increase or only a slight (<2-fold) increase
in fluorescence intensity was observed, suggesting that the lysosome-like
pH value of 4.0–5.0 was essential for amyloid-like behavior
of the citrullinated MOGpeptides. Note that peptide 8 showed aggregation behavior different from those of all of the other
peptides tested aggregating at pH 6 (∼3-fold compared to pH
5) and pH 7 (∼4-fold compared to pH 5) the fastest. On the
basis of the results presented above, we subsequently analyzed the
concentrations at which amyloid-like aggregation was observed for
the citrullinated MOG35–55 variants 2–8. Each of the citrullinated peptides displayed distinct aggregation
behavior, underlining the hypothesis that specific arginines are responsible
for characteristics of amyloid aggregation for MOG35–55. Peptide 2 aggregated only at concentrations of >4
μM (Figure S12A). Peptides 3, 5, and 8 on the other hand did
aggregate at concentrations of >4 μM but not at a final concentration
of 1 μM (Figure S12B,E and Figure ). Peptides 6 and 7 showed aggregation at all concentrations
tested (Figure S12D and Figure f). Peptide aggregation at
lower concentrations is regarded a hallmark of nucleation-dependent
aggregation and is thus a strong indication to prove our hypothesis.
The most prominent aggregation behavior at low concentrations (<10
μM) was observed with peptides 5 and 7 (plotted data, Figure g,h and Figure S25). Hence, these peptides
were used for further analysis.
Citrullinated Peptides
Induce Seeded Nucleation and Show a Heterogeneous
Fibril Morphology
A further characteristic of amyloid behavior
is the observation of seeded nucleation,[33] in which amyloid precipitation can be accelerated by the addition
of amyloid seeds. In the lag phase, only negligible amounts of self-propagated
amyloid fibrils (also called seeds or nuclei) are formed, whereas
upon their formation, an exponential increase in the level of fibril
growth can be explored, which ends up reaching a plateau phase.Peptides 1 (Arg41, Arg46, and Arg52), 5 (Cit41, Cit46, and Arg52), and 7 (Arg41, Cit46, and
Cit52) were therefore dissolved in 20 mM NaOAc (pH 5.0) at a concentration
of 0.1 mg/mL (40 μM) and incubated for at least 24 h at 37 °C
under constant agitation to produce seeds for the experiment. We then
separated the supernatant and pellet via centrifugation (20000g for 30 min) and analyzed by CD spectroscopy (Figure S13). The seeds were then homogenized
in 20 mM NaOAc buffer (the same amount of buffer that was used for
the incubation reaction) to an estimated final concentration of 0.1
mg/mL for further use in seeded nucleation assays.The seed
homogenate of peptide 5 formed a β-sheet-like
structure, while the supernatant contained only random coil structures
(Figure S13A). However, the minimum of
the spectrum was observed at a wavelength (222 nm) higher than that
normally observed for β-sheets (218 nm), which has also been
observed for certain Aβ peptides[38] and scrapie PrP (PrPSc).[39] The seed homogenate of peptide 7 seems to reach a transition
state-like conformation with characteristics of both α-helices
and β-sheets (Figure S13B), and similar
to that of 5, the peptide in the supernatant fraction
of 7 was mainly random coil. As expected, no seeds for
peptide 1 could be collected.The collected seeds
(3–300 ng per experiment) were then
incubated with solutions of peptides 1, 5, and 7 (40 μM, 200 μL) to determine whether
an acceleration of aggregation kinetics was observed (Figure and Figure S14). This would confirm the amyloid characteristic of small
amounts (submicrograms) of already aggregated species being able to
act as seeds and drive faster amyloid aggregation by interacting with
template peptides in solution. Indeed, faster aggregation kinetics
for peptides 5 and 7 but not for 1 were observed. Sigmoidal curves were interpolated (eq E1 and Tables S1 and S2) and used to determine the time
shift of aggregation at a relative intensity of 0.9-fold with all
peptides starting to aggregate at this value. For seeded aggregation
of peptide 1, under all conditions, no aggregation was
observed (Figure S14A). For peptide 5, however, a positive time shift (thus faster aggregation)
was observed. The most pronounced time shift was observed upon seeding
with 0.3 μg of peptide 7 [Δt1/2 = 2.9 h (Figure b)]. In addition, seeding with 0.03 μg of 5 resulted in significantly faster aggregation [Δt1/2 = 1.1 h (Figure a)], indicating a synergistic effect of both
seeds with peptide 5.
Figure 3
Seeded aggregation of peptides 5 and 7. Peptides 1, 5, and 7 were
subjected to aggregation in the presence of seeds from either peptide 5 (depicted as “seed 5”) or 7 (depicted
as “seed 7”) with different amounts (3, 30, and 300
ng in 200 μL, depicted in corresponding diagrams in brackets).
For aggregation-prone peptides 5 (a and b) and 7 (c and d), aggregation curves were fitted according to eq E1 in the Supporting Information (depicted
as “fit”) to determine the change in t1/2 as a measure of aggregation kinetics. All data were
recorded at an excitation wavelength of 444 ± 9 nm and an emission
wavelength of 485 ± 9 nm. All samples were used at a pH of 5.0
and a concentration of 40 μM.
Seeded aggregation of peptides 5 and 7. Peptides 1, 5, and 7 were
subjected to aggregation in the presence of seeds from either peptide 5 (depicted as “seed 5”) or 7 (depicted
as “seed 7”) with different amounts (3, 30, and 300
ng in 200 μL, depicted in corresponding diagrams in brackets).
For aggregation-prone peptides 5 (a and b) and 7 (c and d), aggregation curves were fitted according to eq E1 in the Supporting Information (depicted
as “fit”) to determine the change in t1/2 as a measure of aggregation kinetics. All data were
recorded at an excitation wavelength of 444 ± 9 nm and an emission
wavelength of 485 ± 9 nm. All samples were used at a pH of 5.0
and a concentration of 40 μM.Likewise, peptide 7 showed a prominent shift
in time
upon seeding with 0.003 μg of 5 (Figure c) (Δt1/2 = 3.5 h). Additionally, seeding with 0.03 μg
of peptide 7 resulted in significantly faster aggregation
[Δt1/2 = 1.2 h (Figure d)]. This indicates a synergistic
effect of both seeds with 7. It is therefore likely that
peptides 5 and 7 act as a substrate for
either seed leading to faster aggregation kinetics. This kind of seeded
aggregation is also observed for other amyloids, as has been shown
for Aβ peptides, PrP, and α-syn.[40−42] TEM was next
used to obtain information about the morphology of the fibrils (Figure a,b). Both fibrils
showed different morphologies. Peptide 7 formed needle-like,
long (>100 nm) assemblies of fibrils with partially amorphous structures
(Figure b), while
fibrils of peptide 5 showed shorter (<100 nm) assemblies
with tight packing corresponding to the higher susceptibility to aggregation
over peptide 7in vitro (Figure a). Additionally, DLS measurements
were performed to determine the size of the fibrils (Figure c,d). The fibrils have hydrodynamic
radii (Rhyd) of 78 ± 3.1 and 175
± 2.5 nm for peptide 5 and 7 seeds,
respectively. The Rhyd values are larger
than expected for amyloid-like structures, which typically have a
diameter of ∼10 nm in an oligomeric state.[43] Therefore, we concluded that the seeds of peptides 5 and 7 can be considered as mixed fibrils with
amyloid-like structural characteristics as reported previously.[44,45]
Figure 4
Morphology
of amyloid fibrils of 5 and 7. (a) Image
of seeds generated from peptide 5 (scale
bar, 200 nm). (b) TEM image of seeds generated from peptide 7 (scale bar, 200 nm). (c) Determination of the apparent hydrodynamic
diameter (Rhyd) of seeds generated from
peptide 5 with dynamic light scattering (DLS). (d) Determination
of Rhyd values of seeds generated from
peptide 7 with DLS.
Morphology
of amyloid fibrils of 5 and 7. (a) Image
of seeds generated from peptide 5 (scale
bar, 200 nm). (b) TEM image of seeds generated from peptide 7 (scale bar, 200 nm). (c) Determination of the apparent hydrodynamic
diameter (Rhyd) of seeds generated from
peptide 5 with dynamic light scattering (DLS). (d) Determination
of Rhyd values of seeds generated from
peptide 7 with DLS.
Citrullinated Peptides Aggregate inside BLCs
We next
asked whether this aggregation of citrullinated peptides also occurred
within EBV-infected BLCs. To date, visualization of protein and peptide
aggregation inside cells is a challenging task as fluorescence microscopy
with thioflavin S (ThS), a derivative of ThT, is difficult due to
aspecific binding to all amyloid proteins.[46] Super-resolution fluorescence microscopy[47] and cryo-electron microscopy[48] have recently
been used but are yet too complex for routine analysis. Having recently
shown that bioorthogonal modifications affect peptide behavior only
minimally inside antigen-presenting cells,[49,50] we opted for a bioorthogonal approach to visualize MOG–peptide
aggregation in the EBV-infected BLCs. Bioorthogonal reactions are
chemoselective reactions in living systems, which do not interfere
with other biochemical processes.[51,52] Four new peptides
that are N-terminally extended (aa 31–55) harboring an N →
Pg mutation at position 31 were generated (Scheme and Table , peptides 10–12). Position 31
was chosen to avoid any interference with the immunorelevant epitope
35–55 by using three additional amino acids of the native MOG
sequence as linkers (aa 32–34). Aside from the traceable Pg,
the peptides were synthesized without Cit (10) or double
citrulline substitutions at critical positions (positions 41 and 46
and positions 46 and 52 for 11 and 12, respectively),
and a nonbioorthogonal variant of noncitrullinated 10, peptide 9, was additionally generated. Neither 9 nor 10 aggregated (Figures S9, S17, and S20), and the aggregation behavior of 11 and 12 was not affected by the four-amino acid extension
or by the presence of Pg compared to 5 and 7 (Figures S15–S20), confirming
their suitability for tracing amyloid aggregation in cells. EBV-infected
BLCs were therefore incubated under serum-free conditions with 10, 11, and 12 (0, 6.2, and 25 μM
depicted in Figure ; 3.1 and 12.5 μM depicted in Figures S21 and 22) for 48 h. After incubation, cells were centrifuged
onto glass slides and fixed with PFA. The peptides were visualized
by the copper-catalyzed azide alkyne cycloaddition (CuAAC)[53,54] reaction with Alexa647-azide (Thermo Fisher). Cells were co-stained
with DAPI (blue channel) and LC3 (green channel), as this protein—which
becomes post-translationally lipidated during autophagy as a marker
of autophagic activity—is recruited to phagosomes containing
aggregates (Figure ). Peptides 11 and 12 in the absence of
cells showed large aggregates, while peptide 10 had formed
no aggregates. When peptides 11 and 12 were
incubated with EBV-infected BLCs, spherical structures of different
sizes (small spheres for 11 and large agglomerates for 12) were found, contained within LC3 positive vesicles, indicating
intracellularly aggregated peptide. To our surprise, noncitrullinated
peptide 10 also aggregated, once it was taken up by BLCs.
This may be due to citrullination of peptide 10 by elevated
levels of PAD enzymes present in EBV-infected B-cells.[18] Earlier work from our group showed that EBV
infection of B-cells increases the level of degradation of MOG35–55 in those cells. Thus, the aggregation behavior
might not be restricted to B-cells but is likely a consequence of
elevated PAD2 or PAD4 levels.[71]
Figure 5
Monitoring
the uptake and aggregation of bioorthogonal, site-specific
citrullinated MOG peptides via confocal microscopy. Human EBV-infected
BLCs were incubated for 48 h with either no peptide (0 μM) or
6.2 or 25 μM peptide 10, peptide 11, or peptide 12 (highlighted in yellow). Cells were
fixed with 4% PFA and processed for immunofluorescence with the following
primary antibodies. The nucleus was stained with DAPI (blue), and
LC3 was used as an autophagosome marker (green). The bioorthogonal
peptides were stained using CuAAC chemistry with azide Alexa-647 (Thermo
Fisher). The scale bar is 25 μm (white bar).
Monitoring
the uptake and aggregation of bioorthogonal, site-specific
citrullinated MOGpeptides via confocal microscopy. HumanEBV-infected
BLCs were incubated for 48 h with either no peptide (0 μM) or
6.2 or 25 μM peptide 10, peptide 11, or peptide 12 (highlighted in yellow). Cells were
fixed with 4% PFA and processed for immunofluorescence with the following
primary antibodies. The nucleus was stained with DAPI (blue), and
LC3 was used as an autophagosome marker (green). The bioorthogonal
peptides were stained using CuAAC chemistry with azideAlexa-647 (Thermo
Fisher). The scale bar is 25 μm (white bar).
Citrullination Converts Antigenic MOG Peptides
into Cytotoxic
Aggregates in Distinct Cell Types
We next tested whether
amyloid aggregation of the peptides resulted in them becoming toxic
to cells. We aimed to assess the toxicity of the peptides toward the
core autoimmune process, which is the antigen-mediated cross-talk
of EBV-infected BLCs with autoaggressive T-cells. In a first experiment,
lethally irradiated marmosetEBV-BLCs (104 per milliliter)
were incubated for 1 h with titrating doses of peptides 10–12 or MOG14–36 as an irrelevant peptide (Figure a). Subsequently,
a mixed lymphocyte population harvested from ALN of a marmoset immunized
with MOG34–56 was added and cultured for 72 h. Proliferation
of the lymphocytes was assayed via the incorporation of [3H]thymidine during the final 18 h. Figure a shows a dose-dependent stimulation of proliferation
by the nonmodified peptide 10, while both citrullinated
peptides (11 and 12) induced dose-dependent
inhibition of proliferation even beneath the background response against
antigens expressed by the EBV-BLCs. Peptide 10 showed
stimulation of T-cell proliferation at all concentrations tested.
To assess the targets of the citrullinated peptides, we stained the
EBV-BLCs with the CellTrace dye, prior to the incubation with peptides
and lymphocytes. After 24 h, cells were harvested, stained with Annexin
V, a cellular probe binding phosphatidylserine, a marker of apoptotic
and dead cells, and analyzed via fluorescence-activated cell sorting
(FACS). Figure b shows
that Annexin V staining, marking cytotoxicity, stains the CellTrace+ve and CellTrace–ve fraction of cells incubated
with the aggregation-prone peptides 11 and 12. As expected, for 11 and 12, an increased
level of apoptosis was observed at concentrations of >1 μg/mL
(Figure b, white circles),
whereas peptide 10 did not show any cytotoxic effects
in EBV-BLCs or in a co-culture with the lymphocytes. Furthermore,
the toxicity of MOG35–55 peptides 5 and 7 was assessed toward murine bone marrow-derived
dendritic cells (mBMDCs), which have the capacity to phagocytose aggregates,
and to the T-cell hybridoma cell line B3Z[55] as a nonphagocytosing cell line (Figure S24). Four different concentrations of peptides were tested (40, 20,
10, and 3 μM). Peptides 5 and 7 were
toxic to mBMDCs [cell viability down to 70% for 5 and
62% for 7 (Figure c)] when compared to a nontreated control (Figure c, control). Both 5 and 7 showed cytotoxicity at concentrations of ≤10
μM. Additionally, 5 showed significant cytotoxicity
at 40 μM. As expected, no decrease in cell viability was measured
when B3Zs were incubated with increasing concentrations of peptides 5 and 7.
Figure 6
Cytotoxicity of MOG derived peptides (a and
b) 10–12 and (c) 5 and 7 in EBV-BLC co-cultures
with lymph node cells from EAE marmosets and in mBMDCs. (a) Marmoset
EBV-induced BLCs were lethally irradiated and incubated for 1 h with
titrating concentrations of peptide 10, 11, or 12 or an irrelevant peptide. Subsequently, lymph
node or spleen cells from marmosets immunized with MOG34–56 were added. The responses of T-cells to the peptides were assayed
by proliferation and are expressed as the stimulation index per culture
condition. The experiment was conducted six times (marmosets) and
with three biological replicates. Data are presented as means ±
the standard error of the mean. (b) To test which cell type is targeted
by the peptides, EBV-BLCs (from two marmosets, M1 and M2) were incubated
with CellTrace dye before incubation with peptide (white circles)
and a mixture with the spleen/lymph node cells (red triangles). Lymphocytes
that are not subjected to co-culturing were used as controls (black
circles). Cultured cells were harvested and stained for Annexin V
as a marker of late apoptotic/dead cells. The final analysis was done
utilizing FACS. (c) Cytotoxicity assays with citrullinated MOG peptides
in BMDCs. *p < 0.05, **p <
0.005, ***p < 0.0005, and ****p < 0.00005. n.s., not significant. The experiment was conducted
twice and with three biological replicates. Group mean values were
analyzed by one-way analysis of variance with the Bonferroni post
hoc significant difference test using GraphPad Prism 6.0. Data are
represented as means ± the standard deviation.
Cytotoxicity of MOG derived peptides (a and
b) 10–12 and (c) 5 and 7 in EBV-BLC co-cultures
with lymph node cells from EAE marmosets and in mBMDCs. (a) MarmosetEBV-induced BLCs were lethally irradiated and incubated for 1 h with
titrating concentrations of peptide 10, 11, or 12 or an irrelevant peptide. Subsequently, lymph
node or spleen cells from marmosets immunized with MOG34–56 were added. The responses of T-cells to the peptides were assayed
by proliferation and are expressed as the stimulation index per culture
condition. The experiment was conducted six times (marmosets) and
with three biological replicates. Data are presented as means ±
the standard error of the mean. (b) To test which cell type is targeted
by the peptides, EBV-BLCs (from two marmosets, M1 and M2) were incubated
with CellTrace dye before incubation with peptide (white circles)
and a mixture with the spleen/lymph node cells (red triangles). Lymphocytes
that are not subjected to co-culturing were used as controls (black
circles). Cultured cells were harvested and stained for Annexin V
as a marker of late apoptotic/dead cells. The final analysis was done
utilizing FACS. (c) Cytotoxicity assays with citrullinated MOGpeptides
in BMDCs. *p < 0.05, **p <
0.005, ***p < 0.0005, and ****p < 0.00005. n.s., not significant. The experiment was conducted
twice and with three biological replicates. Group mean values were
analyzed by one-way analysis of variance with the Bonferroni post
hoc significant difference test using GraphPad Prism 6.0. Data are
represented as means ± the standard deviation.
Discussion
MOG has been accepted
as a key autoantigen in MS. Nevertheless,
the pathophysiological role of MOG remains complex. The response of
T-cells to MOG epitopes depends on the genetic background of the species
(human, marmoset, and mouse) as well as on environmental factors (especially
EBV infection) and post-translational modifications (e.g., N-glycosylation
and glucosylation).[14,56,57] In the marmoset model, two key epitopes were identified, an MHC
class II restricted epitope of inflammatory T-cells (MOG24–36) and an MHC class Ib restricted epitope of cytotoxic T-cells (MOG40–48).[58] The latter pathway
is particularly interesting for MS, as it leads to lesions in brain
gray matter,[12] which have the strongest
impact on the disease.[59]A key finding
underlining this complexity has been that the antigenicity
of the MOG40–48 epitope is dependent on pathogenic
post-translational citrullination. We have shown that citrullination
of a peptide containing the MOG40–48 epitope at
position 46 alters its proteolytic sensitivity to the endolysosomal
serine protease cathepsin G in BLCs.[60] Interestingly,
it was shown in EBV-infected BLCs that expression levels of PAD2 and
PAD4 are increased and that the autophagic flux is activated in infected
cells, providing a protection mechanism for the peptide against rapid
destruction. This mechanism putatively explains the requisite involvement
of EBV-infected BLCs in the activation of autoreactive CD8+CD56+ T-cells,
which drive disease progression in the marmoset EAE model.[61] On the other hand, earlier in vivo experiments
in mice showed that the two arginine residues in the MOG40–48 epitope are TCR contact residues of the pro-inflammatory CD4+ T-cells.[23] The study presented
here shows that this may also be the case in the marmoset EAE model,
as T-cells from marmosets immunized with MOG34–56 are not stimulated (proliferation) by EBV-infected BLCs presenting
citrullinated MOG34–56. In this study, we synthesized
and characterized site-specifically citrullinated peptides as well
as three bioorthogonal variants thereof to analyze processing and
presentation of MOG-derived epitopes and their contribution to neurodegeneration.
We showed that site-specific citrullination of MOG35–55 peptides resulted in amyloid-like aggregation behavior with formation
of heterogeneous fibrils. This aggregation behavior was strongest
at pH 5.0 (Figure S11), highlighting the
potential involvement of intracellular vesicular proteolysis, like
that found in the autophagy pathway.[62] Moreover,
above peptides aggregated at low concentrations (≤10 μM),
the best and the fastest renders this concentration the critical aggregation
concentration. One possible explanation for high concentrations (≥160
μM) not yielding to higher/faster aggregation susceptibility
is that those are not within the critical aggregation concentration
range and therefore might slow aggregation as shown for other proteins.[63] Furthermore, Hevehan et al. reported refolding
of aggregated lysozyme at high concentrations. These findings might
explain the altered aggregation behavior of aforementioned MOG35–55 variants at high concentrations.[64] Two doubly citrullinated peptides, 5 and 7, also showed characteristics of seeded nucleation,[33] thus supporting the hypothesis that these peptides
display amyloid behavior. Collectively, these findings may shed new
light on the role of EBV-infected BLCs and the immunodominant MOG34–56 peptide in the pathogenesis of MS and the role
of EBV-infected BLCs and the immunodominant MOG34–56 peptide in the pathogenesis of MS.This finding was further
supported when using bioorthogonal variants
of MOG31–55 in EBV-infected BLCs. Peptides were
shown to aggregate within 48 h in these cells in a concentration-dependent
manner (the higher the concentration, the larger the number of aggregates).
Additionally, we could show that the autophagy pathway was stimulated,
when using concentrations of ≤6.2 μM (Figure ). We hypothesized that above
this concentration, the aggregates are formed already before uptake
in the cells and hence only a small portion of the peptides aggregate
intracellularly and enter the autophagic pathway; instead, the aggregates
may be taken up via alternative routes such as phagocytosis, endocytosis,
or micropinocytosis as observed for amyloid β (Aβ)-40
and -42.[65,66]To provide further evidence for a
link between the amyloid behavior
of these citrullinated MOG fragments and PPMS, the aggregates showed
enhanced cytotoxicity toward phagocytes (EBV-BLCs and mBMDCs) in a
concentration-dependent manner (≥10 μM for BLCs and ≤10
μM for mBMDCs).In summary, we were able to show for the
first time that citrullination
is a protection mechanism against fast, physiological degradation
of MOGpeptides harboring T-cell epitopes and enhances antigenicity
but promotes amyloid aggregation as a potential neurotoxic mechanism.
These results provide evidence for the theory that a pathogenic mechanism
initiated by EBV infection is one of the driving forces behind autoimmunity
in MS. Our future work is directed toward live cell imaging amyloid-like
aggregation, antigen processing, and presentation events in APCs incubated
with MOG-derived peptides in marmoset EAE.
Authors: Paul A Smith; Nicole Heijmans; Boudewijn Ouwerling; Esther C Breij; Nicholas Evans; Johannes M van Noort; Arianne C Plomp; Cécile Delarasse; Bert 't Hart; Danielle Pham-Dinh; Sandra Amor Journal: Eur J Immunol Date: 2005-04 Impact factor: 5.532
Authors: S Mazzucco; S Matà; M Vergelli; R Fioresi; E Nardi; B Mazzanti; M Chelli; F Lolli; M Ginanneschi; F Pinto; L Massacesi; A M Papini Journal: Bioorg Med Chem Lett Date: 1999-01-18 Impact factor: 2.823
Authors: Gal Bitan; Marina D Kirkitadze; Aleksey Lomakin; Sabrina S Vollers; George B Benedek; David B Teplow Journal: Proc Natl Acad Sci U S A Date: 2002-12-27 Impact factor: 11.205
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Authors: Bert A 't Hart; Antonio Luchicchi; Geert J Schenk; Peter K Stys; Jeroen J G Geurts Journal: Ann Clin Transl Neurol Date: 2021-06-22 Impact factor: 4.511