Abstract
In multiple sclerosis, while remarkable progress has been accomplished to control the inflammatory component of the disease, repair of demyelinated lesions is still an unmet need. Despite encouraging results generated in experimental models, several candidates favouring or promoting remyelination have not reached the expected outcomes in clinical trials. One possible reason for these failures is that, in most cases, during preclinical testing, efficacy was evaluated on histology only, while functional recovery had not been assessed.
We have generated a Xenopus laevis transgenic model Tg(mbp:GFP-NTR) of conditional demyelination in which spontaneous remyelination can be accelerated using candidate molecules. Xenopus laevis is a classic model for in vivo studies of myelination because tadpoles are translucent. We reasoned that demyelination should translate into loss of sensorimotor functions followed by behavioural recovery upon remyelination. To this end, we measured the swimming speed and distance travelled before and after demyelination and during the ongoing spontaneous remyelination and have developed a functional assay based on the visual avoidance of a virtual collision.
Here we show that alteration of these functional and clinical performances correlated well with the level of demyelination and that histological remyelination, assayed by counting in vivo the number of myelinating oligodendrocytes in the optic nerve, translated in clinical–functional recovery. This method was further validated in tadpoles treated with pro-remyelinating agents (clemastine, siponimod) showing that increased remyelination in the optic nerve was associated with functional improvement.
Our data illustrate the potential interest of correlating histopathological parameters and functional–clinical parameters to screen molecules promoting remyelination in a simple in vivo model of conditional demyelination.
Keywords: Xenopus, visual system, optic nerve, myelin, regeneration
Repair of demyelinated lesions remains an unmet need in multiple sclerosis. Henriet et al. generate a transgenic Xenopus laevis model allowing conditional ablation of myelinating oligodendrocytes. As the tadpoles are translucent, demyelination and remyelination can be monitored in vivo and changes compared with those in visual and motor functions.
Introduction
Myelin, synthetized by oligodendrocytes in the CNS and Schwann cells in the peripheral nervous system, consists of a membrane spirally wrapped around large axons—with a diameter usually larger than 0.5 µm1—forming a sheath, which is interrupted at more or less regular spacing, known as nodes of Ranvier. It was Louis Ranvier who initially proposed that the function of myelin was to protect and separate the axons from their surroundings.2 In myelinated axons voltage-gated sodium channels (Nav) are aggregated at the nodes of Ranvier and the action potential ‘jumps’ from one node to the next, a mode of propagation known as saltatory conduction, which allows a 50- to 100-fold acceleration of propagation of the action potential along the axon. Neurons rely on their myelinating partners not only for setting conduction speed, but also for regulating the ionic environment and fuelling their energy demands with metabolites. Indeed, another function of the myelin sheath is to provide nutrients, mostly lactate, to the axon along the length of the axon.3,4
Demyelination in CNS diseases, including multiple sclerosis, alters axonal function and can result in permanent disability. Myelin loss around axons leads to slowing down of nerve conduction and even to conduction block when several adjacent internodes are demyelinated, and finally to degeneration of denuded axons and neuronal loss. These neuropathological features translate into clinical signs, such as paraparesis, paralysis or sensory deficit and finally irreversible neurological disability.5 Despite an important array of experimental models mostly developed in rodents, the precise link between a given demyelinated lesion and a definite sensorimotor deficit is often missing.
To investigate myelin formation and remyelination, we have generated a Xenopus laevis transgenic line allowing conditional ablation of myelinating oligodendrocytes. In this Tg(mbp:GFP-NTR) transgenic line, the green fluorescent protein (GFP) reporter fused to Escherichia coli nitroreductase (NTR) is expressed specifically in myelinating oligodendrocytes. Nitroreductase converts the innocuous pro-drug metronidazole (MTZ) to a cytotoxin. To induce conditional demyelination, MTZ is introduced into the aquarium water and withdrawal of MTZ leads to spontaneous remyelination. As tadpoles are transparent, these events can be monitored in vivo and quantified.6 Due to optical accessibility, we focused on the optic nerve. We confirmed that counting the number of GFP+ cells per optic nerve is a reliable indicator of the extent of demyelination and remyelination by electron microscopy analysis. Furthermore, to ascertain that demyelination translates into loss of sensorimotor functions we adapted a virtual collision visual avoidance paradigm in Xenopus tadpole7,8 to test the behavioural consequence of demyelination and the return to normal after spontaneous remyelination. Quantitative evaluation of behavioural perturbation was confronted to the degree of demyelination–remyelination assayed by counting the number of GFP+ oligodendrocytes.
Materials and methods
Animals
All experiments were performed on stage 50–52 X. laevis tadpoles staged according to Nieuwkoop and Faber normal tables.9 Animals were obtained following injection of pairs of adults, selected from our colony of either transgenic Tg(mbp:GFP-NTR)6 or wild-type raised in our animal facility (agreement # A75-13-19), with human chorionic gonadotrophin (1000 i.u./ml; Sigma-Aldrich). Eggs were collected and reared in trays at temperatures between 20 and 23°C until they had reached the desired development stage, after 15–25 days. Tadpoles of either sex were anaesthetized in 0.05% MS-222 (ethyl-3-aminobenzoate methanesulphonate; Cayman Chemical) before quantification of GFP+ cells and returned to normal water to recover. Before brain and spinal cord dissection, tadpoles were euthanized in 0.5% MS-222. Stages NF50–NF55 correspond to pre-metamorphosis and represent stages in which myelination is ongoing (see https://www.xenbase.org/entry/anatomy/alldev.do). In the optic nerve at the EM level, myelination begins in the middle portion at stage NF48/49 and the number of myelinated axons increases 7-fold between stages 50 and 57.10
Animal care was in accordance with institutional and national guidelines. All animal procedures conformed to the European Community Council 1986 directive (86/609/EEC) as modified in 2010 (2010/603/UE) and have been approved by the ethical committee of the French Ministry of Higher Education and Research (APAFIS#5842-2016101312021965).
Metronidazole preparation and use
Metronidazole (Sigma Aldrich) was dissolved in filtered tap water containing 0.1% dimethyl sulphoxide (DMSO; Sigma Aldrich). MTZ was used at concentration of 10 mM with an exposure length of 10 days. Transgenic or non-transgenic sibling tadpoles were maintained in 600 ml of MTZ solution (maximum 10 tadpoles/600 ml) at 20°C in complete darkness (MTZ is light-sensitive) and the solution was changed every other day throughout the duration of treatment. For regeneration experiments, MTZ-exposed animals were allowed to recover for 3 and 8 days in normal water in ambient laboratory lighting (12 h light/12 h dark).
Antibodies
For double or triple immune labelling the following antibodies were used: rabbit anti-GFP (1:500; InVitrogen), rabbit anti-pan neurofascin (NFC2; 1:500; a generous gift of Dr P. Brophy),11 chicken anti-myelin basic protein (MBP; 1:500; Millipore); mouse Mab IgG1 anti-neurofilament, clone 3A10 (1:500) was from Developmental Studies Hybridoma Bank, Iowa City, IA. Alexa fluorescent secondary antibodies were from InVitrogen (ThermoFisher Scientific) and all were used at a dilution of 1/1000.
Immunolabelling
Whole-mount immunolabelling of optic nerve
Fixed tadpole optic nerves were carefully dissected and rinsed in Triton® X-100 [0.3% in phosphate buffer saline (PBS) 1× = PBT 0.3%] for 1 h with change in PBT 0.3% every 15 min. Samples were then incubated in blocking solution [normal goat serum (Thermoscientific) diluted 5% in PBT 0.3%] for 2 h. Anti-GFP antibody was added in the blocking solution and incubated overnight on a gentle shaker at 4°C. The primary antibody was removed and rinsed for 2 h in PBT 0.1%, with changes every 15 min. Secondary antibody was used in blocking solution and incubated 2 h at room temperature on a gentle rotating shaker. The secondary antibody was removed and the labelled optic nerves rinsed in PBT 0.1% for 2 h with changes every 15 min. DAPI (InVitrogen) was used to label the nuclei and rinsed in PBT 0.1% for 5 min and mounted on a glass slide in tissue-clearing solution (RapiClear 1.49 medium, Nikon).
Immunohistochemistry
Dissected tadpole brains were fixed by immersion in 4% paraformaldehyde rinsed in PBS (1×) and cryoprotected in sucrose (20% in PBS). Cryoprotected brains were embedded in OCT® (Tissue Tek). Horizontal cryosections (16-μm thick) were blocked in normal goat serum (5% in PBS) containing 0.1% Triton® X-100 and incubated overnight at 4°C with primary antibodies. Slides were rinsed in PBT 0.1% and secondary antibody added. The slides were mounted with DAPI-coated Vectashield antifade mounting medium® (Vectorlabs).
Electron microscopy
Larvae were fixed in a mixture of 2% paraformaldehyde, 2% glutaraldehyde, in 0.1 M cacodylate buffer pH 7.4% and 0.002% calcium chloride overnight at 4°C, washed in 0.1 M cacodylate buffer and postfixed in 1% osmium tetraoxide, 1% potassium ferricyanide in 0.1 M cacodylate buffer. After washing in cacodylate buffer and water, larvae were incubated in 2% uranyl acetate aqueous solution at 4°C overnight. After rinsing twice in water, larvae were dehydrated in increasing concentrations of ethanol, with the final dehydration in 100% acetone (twice, 10 min each). Samples were infiltrated with 50% acetone 50% Epon for 2 h and then embedded in Epon (EMBed 812, Electron Microscopy Sciences Cat 14 120). Blocks were heated at 56°C for 48 h. Ultrathin sections (70 nm) were examined on an HT7700 electron microscope (Hitachi) operated at 70 kV.
Quantification of myelinated axons
The number of myelinated axons per optic nerve and brainstem was determined on coronal semi-thin sections 0.5-µm thick. Sections were stained with toluidine blue for 5 min. Images were acquired at ×63 or ×100 magnification. Quantification in the optic nerve was performed at D0, D10, R3 and R8 and three nerves were counted for each stage. Evaluation of MTZ-induced demyelination in the brainstem was at D10; on average, 10–12 sections of 5–6 animals were counted.
Quantification of GFP+ cells
GFP was detected directly by fluorescence in live MBP-GFP-NTR transgenic Xenopus embryos using an AZ100 Nikon Zoom Macroscope. The total number of GFP+ cells was counted in the optic nerve, from the emergence of the nerve (i.e. after the chiasm) to the retinal end. For stage 50 tadpoles the length of the optic nerve is on average 1700 µm ± 100 µm for a diameter of 50 µm. GFP+ cells were counted before (D0) and at the end of MTZ exposure (D10) and after being returned to normal water for either 3 or 8 days (R3 or R8, respectively) or water containing the molecule to be tested on the same embryos. The following molecules were used: clemastine (200 nM; clemastine fumarate salt, SML0445, Sigma Aldrich), siponimod (3 nM; Abmole M2428 BAF312), siramesine (5 µM; SML0976, Sigma Aldrich) and sildenafil (1 µM; S4684, Selleckchem). Counts were performed independently by two researchers. Difference in numbers obtained by each researcher was below 10%. Data were compared to control untreated animals of the same developmental stage.
Behavioural testing
Tadpoles were tested in the morning before being fed. The setup consists of a CRT monitor (Dell Model #M570, 100–240 V, 60/50 Hz, 1.4 A, refresh rate used 60 Hz). The screen was covered with a 10 mm diameter mask, adapted to a Petri dish. Movements of tadpoles were recorded with a Dragonfly2 DR2-HIBW camera at 30 pfs and the Computar M3Z1228C-MP2/3′ 12–36 mm Varifocal, Manual Iris Megapixel (C mount) lens. The video recording system used was FlyCapture2 (Supplementary Fig. 2).
The setup was localized in a darkroom; the light was turned off so that the only light perceived by tadpoles came from the screen. Each animal was tested separately in the Petri dish filled up to 1 cm with MMR 0.1 X medium. Tadpoles were placed in the Petri dish and left to adapt to the screen light for 5–10 s. Spontaneous swimming was recorded for 30 s and average speed for this period analysed. If the animal was immobile at first it was touched with a plastic pipette to initiate movement, this first acceleration being excluded from analysis.
The virtual avoidance collision test was performed after all animals had been tested for spontaneous swimming behaviour. A black dot (18 pixel = 8 mm on the screen) was presented on the screen, the experimenter targeted the eye of the tadpole by changing the direction and speed of the dot. On average, 5–6 try outs were performed to assess visual avoidance. The virtual collision setup can be found on the AK website https://github.com/khakhalin/Xenopus-Behavior.
Analysis of videos recordings was with Noldus Ethovision XT 11.5 software. For each experiment detection settings were calibrated. After tracking of the tadpole and the moving black dot the trajectories were individually verified and modified in case of swapping identity between tadpole and dot or in case of failure of automated detection. To determine visual avoidance several escape responses were analysed and it was determined that a successful avoidance response corresponded to an acceleration swim of the tadpole >50 cm/s2 and a change in direction (C-start) verified by the experimenter, initiated for a distance between the tadpole and the dot of 1–1.3 cm. Data are presented as an avoidance rate, i.e. the ratio of the number of encounters that resulted in a successful avoidance.
Statistical analysis
We used Prism GraphPad software (GraphPad Prism version 8) for statistical analyses. Data presented are the mean ± SEM of number of GFP+ cells counted on at least 16 tadpoles per condition. For the analysis of two groups, an unpaired two-tailed Student t-test or a Mann–Whitney test were applied. For more than two group analyses, a one-way ANOVA with Tukey’s multiple comparison test or a Kruskal–Wallis with Dunn’s multiple comparisons test were applied. Statistical significance was defined as *P < 0.05, **P < 0.01 and ***P < 0.001.
Data availability
All data are available upon reasonable request. Data supporting this article are given in the text and Supplementary material.
Results
Description of the Tg(mbp:GFP-NTR) Xenopus model
When planning our transgenic construct to drive the expression of the GFP-NTR transgene into myelin-forming oligodendrocytes, the 1.9 kb proximal portion of mouse MBP regulatory sequence was chosen. We had previously shown that this portion of mouse DNA upstream of the ATG start codon of MBP contains sequences restricting the expression of reporter transgene to mature myelin-forming oligodendrocytes.12 Within this 1.9 kb non-coding sequence the initial 256 bp of MBP non-coding sequence is highly conserved between human and mouse13 and comparison between mouse and X. laevis show 81% homology and 49 mismatches (<http://www.xenbase.org/genomes/blastSeq.do>). In the Tg(mbp:GFP-NTR) Xenopus line, similar to the observation in the 1.9 kb Tg(mbp:lacZ) transgenic mouse,14 the transgene is expressed only in myelin-forming oligodendrocytes, but not in cells earlier in the oligodendroglial lineage [oligodendrocyte precursor cells (OPCs) are Sox10+/GFP–; see figure 3 in Mannioui et al.15].
Metronidazole-induced demyelination
Our transgene construct is formed by the fusion of GFP with the E. coli NTR. This enzyme, absent from vertebrates, reduces nitro residues of compounds such as metronidazole (nitro-imidazol), into a highly toxic hydroxylamine derivative, [2-(5-(hydroxyamino)-2-methyl-1H-imidazol-1-yl-) ethanol]. Therefore, addition of metronidazole into the swimming water of Tg(mbp:GFP-NTR) tadpoles induces a dramatic cell death of cells expressing the transgene, which in our transgenic line are the myelin forming oligodendrocytes. Thanks to the transparency of Xenopus tadpoles, oligodendrocyte depletion during metronidazole exposure can be monitored on live animals (Fig. 1A–E). We have previously shown that the extent of oligodendrocyte ablation depends on metronidazole concentration and duration of exposure, which we routinely set as 10 mM for 10 days, resulting in the average between 75% and 90% depletion in the number of oligodendrocytes in the optic nerve.6,15
Figure 1.
Confocal and electron microscopic illustration of conditional demyelination and spontaneous remyelination of tg(mbp:GFP-NTR) transgenic X. laevis. (A) Flow chart showing the sequence of events tested and the number of tadpoles throughout the experiment. (B–E) Optic nerve of Tg(mbp:GFP-NTR) X. laevis (stage 50 tadpole) before (D0), at the end of metronidazole exposure (D10) and after 3 days (R3) and 8 days (R8) spontaneous recovery; scale bar = 20 µm. (F–I) Electron micrographs of transversal ultrathin sections (70 nm) of optic nerve of transgenic Tg(mbp:GFP-NTR) X. laevis tadpole before (F), at the end of metronidazole exposure (G) and after 3 days (H) and 8 days (I) of spontaneous recovery; in G arrows point to two axons that resisted MTZ-induced demyelination and arrowheads point to myelin debris; scale bar = 5 µm. (J) Quantification of the number of GFP+ oligodendrocytes per optic nerve. (K) Quantification of myelinated axons counted on optic nerve semi-thin (0.5 µm) sections stained with toluidine blue between D0 and R8. (L) Evolution of g-ratio measured on D0, R3 and R8. Data are expressed as mean ± SEM (in K and L, n = 3–4 tadpoles per group), with **P < 0.01, ***P < 0.001 and ****P < 0.0001 calculated using an unpaired two-tailed Student’s t-test between two groups with a 95% confidence interval.
Although oligodendrocyte cell death is ubiquitous, quantification was better performed in the optic nerve because this anatomical structure is more easily identified, allowing precise counting between the nerve exit at the papilla of the eye bulb (retinal portion) and its entry into the diencephalon (chiasmatic extremity; Fig. 1B–E). In stage NF50-52 (i.e. 25 days post-fertilization), Tg(mbp:GFP-NTR) transgenic tadpoles treated for 10 days with metronidazole (10 mM) show a decreased number of GFP+ cells per optic nerve from 21.0 ± 1.2 down to 2.7 ± 0.3 (D0, n = 62, D10, n = 43, P < 0.001; Fig. 1J). As expected from previous experiments, ablation of myelin-forming oligodendrocytes resulted in an extensive demyelination, which was verified by electron microscopy in the optic nerve of stages 50–52 Tg(mbp:GFP-NTR) transgenic tadpoles, showing the vast disappearance of myelinated axons (compare Fig. 1F and G). These data were strengthened by western blot of total brain extract probed with anti-MBP antibodies showing a clear decrease of the MBP signal at D10 (Supplementary Fig. 1). Quantification of extent of demyelination was performed on semi-thin sections by counting the number of myelinated axons [109 ± 12.6 before (D0) and at the end of metronidazole exposure (D10) (28.3 ± 1.2; n = 3 m ± SEM; Fig. 1K].
Spontaneous remyelination
At the end of 10 days exposure to MTZ the tadpoles were returned to normal water. The number of GFP+ oligodendrocytes per optic nerve reached 8.7 ± 0.9 (n = 27) and 15.3 ± 0.6 (n = 16) at 3 and 8 days of recovery, respectively (Fig. 1D, E and J). The number of myelinated axons on semi-thin sections of optic nerve was restored after 3 (R3) and 8 (R8) days of recovery (131 ± 7.7 and 138 ± 21.5, respectively; n = 3 m ± SEM; Fig. 1H, I and K). The ratio of number of oligodendrocytess to axons was 5.1 on D0 and 9.0 on R8. Analysis of the g-ratio showed that at R3 myelin was significantly thinner than at D0 (0.8694 ± 0.0032 and 0.8943 ± 0.0035 for D0 and R3, respectively). At R8 although myelin thickness had notably improved (g = 0.8832 ± 0.0026), myelin was still thinner than prior to demyelination (Fig. 1L).
Effect of demyelination and remyelination on swimming behaviour
We then assessed the behavioural sensorimotor consequences of demyelination and myelin regeneration. To this end we measured the swimming speed and distance travelled before and after demyelination and during the ongoing spontaneous remyelination. Each tadpole was placed in the Petri dish above the CRT monitor (Supplementary Fig. 2) and left to adapt to the light for 5–10 s before recording the swimming behaviour for 30 s (Fig. 2A and B and Supplementary Video 1). After 10 days in MTZ (10 mM) demyelinated animals swam a shorter distance than before demyelination: 87.7 ± 4.6 cm versus 55.6 ± 2.1 cm at D0 and D10, respectively (mean ± SEM, n = 75; P = 0.0081; Fig. 2A, C and D and Supplementary Video 2). Similarly, the average speed of swimming of Tg(mbp:GFP-NTR) tadpoles (3.18 ± 0.15 cm/s) was significantly decreased at the end of the demyelination treatment (1.99 ± 0.06 cm/s; m ± SEM, n = 75; P = 0.001; Fig. 2C and E and Supplementary Video 2). To verify that alteration in swimming behaviour was not the consequence of introduction of MTZ in the medium, wild-type (WT) tadpoles were exposed to MTZ (10 mM). Ten days MTZ treatment of WT tadpoles had no significant effect either on the distance travelled [73.4 ± 9.8 cm versus 59.4 ± 7.3 cm (P = 0.42)] or on the average speed [2.2 ± 0.3 cm/s versus 2.8 ± 0.3 cm/s (P = 0.22; n = 19 WT versus n = 23 Tg(mbp:GFP-NTR)].
Figure 2.
Swimming behaviour of Tg(mbp:GFP-NTR). (A) Traces of distance swam recorded for a period of 30 s on D0, D10 and during the recovery period on R3 and R8. (B and C) Live imaging of the swimming behaviour of a tadpole before demyelination (See Supplementary Video 1) and after 10 days of exposure to MTZ (see Supplementary Video 2). (D and E) Average distance expressed in cm (D) and speed of swimming in cm/s (E) before (n = 62) and at the end of MTZ treatment (n = 43) and during the recovery period R3 (n = 27) and R8 (n = 13). Note that on R3, despite the partial increase in the number of GFP+ cells per optic nerve (Fig. 1J), tadpoles did not improve their performance; however, the recovery was complete on R8.
At R3, despite the increase of the number of both GFP+ cells and myelinated axons (measured in the optic nerve; Fig. 1J and K), the average speed and the distance travelled over a period of 30 s did not improve (distance: 50.7 ± 7.8 cm; speed: 1.72 ± 0.26 cm/s; n = 41). However, at R8 both parameters had returned to control levels before demyelination (distance: 83.6 ± 15.6 cm; speed: 2.88 ± 0.53 cm/s; n = 13; Fig. 2D and E).
Effect of demyelination and remyelination on a visual avoidance test
What are the functional consequences of the demyelination of the optic nerve? Does this extensive demyelination translate into a loss of vision similar to what is observed in multiple sclerosis patients with optic neuritis? To address this question we set up a visual avoidance test, which is based on the principle that if tadpoles have a normal vision they will avoid collisions with a projected black dot.8,16 Tadpoles swimming freely in a Petri dish positioned on top of a CRT monitor are confronted with an approaching black dot shown on the screen (Supplementary Fig. 2). It has been shown that visual avoidance response of tadpoles is characterized by a sharp turn (C-start) and acceleration (71.8 ± 4.1 cm/s2) to avoid the approaching moving dot7,17 (Fig. 3A and Supplementary Video 3). Because this visual avoidance behaviour involves the retino-tectal projection we predict that it may be altered following demyelination of the optic nerve.
Figure 3.
Live tracking of the visual avoidance paradigm. Tg(mbp:GFP-NTR) was recorded before (A and Supplementary Video 3) and at the end of 10 days of exposure to MTZ (end of demyelination period) (B and Supplementary Video 4). The ratio of the number of encounters that resulted in a successful avoidance allowed definition of an avoidance rate (C). Note that the sharp decrease in the avoidance index was not a consequence of an alteration of the swimming behaviour because demyelinated animals were still responding to a touch stimulus with a plastic pipette, as illustrated in Supplementary Video 4 at 22 s.
In a first series of experiments we observed that not every tadpole avoided the black dot when it was presented on the screen. We therefore adjusted some parameters to increase the responsiveness of the tadpoles. Timing of feeding was one criterion; tadpoles fed just before the test had an average avoidance index of 0.09, compared to 0.51 for tadpoles fed the evening before (P = 0.008, n = 10). Tadpoles tested in the morning had a better response rate in the visual avoidance than in the afternoon, 0.63 versus 0.29, respectively (P = 0.031, n = 7). To test the reproducibility of the response stage 50–52 tadpoles were submitted daily for 10 days to the collision avoidance paradigm. Tadpoles that initially avoided the virtual collision continue to avoid it for the period tested, whereas those unresponsive in the initial test remained non-responsive. Therefore, this prompted us to select ‘responders’ tadpoles before starting the demyelination–remyelination experiment. On average, 47.9% ± 4.5% tadpoles at stage 50–52 (n = 222) avoided the projected black dot more than 50% of the time. As a consequence, when planning a behaviour experiment we always test twice more tadpoles than the number necessary to achieve the experiment. Having set these parameters, animals were tested on D0, at the end of the MTZ-induced demyelination treatment (D10), then 3 and 8 days after stopping MTZ exposure (R3 and R8, respectively). At the end of the demyelination period, tadpoles had lost the capability to avoid the threatening stimulus represented by the virtual collision with the black dot (compare Fig. 3A and B and Supplementary Videos 3 and 4). The avoidance index measured at D0 significantly decreased after 10 days of demyelination from 0.4 ± 0.04 to 0.16 ± 0.02; n = 74 (mean ± SEM; P < 0.0001; Fig. 3C). To test whether this sharp decrease in the avoidance rate was not a consequence of an alteration of the swimming behaviour (see below) we verified that demyelinated animals were still responding to a touch reflex by submitting them to a touch stimulus with a plastic pipette (Supplementary Video 4 at 22 s). Three and 8 days after MTZ exposure was stopped, animals recovered rapidly with avoidance index of 0.27 ± 0.03 and 0.42 ± 0.07 at R3 (n = 27) and R8 (n = 13) (mean ± SEM), respectively (Fig. 3C).
Demyelination consequence on the C-type startle response
The ability to detect a threatening stimulus, such as illustrated here by the virtual collision with a black dot initiating an escape response is essential for survival and is driven by a small reticulo-spinal network.18,19 Demyelination was quantified on transversal semi-thin sections stained with toluidine blue (Supplementary Fig. 3) showing that at the end of MTZ exposure the number of myelinated axons had decreased from 25.8 ± 11.3/1000 µm2 (mean ± SEM; n = 5) in control WT animals down to 12.8 ± 3.8/1000 µm2 in Tg(mbp:GFP-NTR) (mean ± SEM; n = 6). However, demyelinated axons were not homogeneously distributed. Mauthner axons as well as axons in their vicinity, i.e. on the medio-dorsal portion of the transversal section, were still myelinated, suggesting they were more resistant to the MTZ exposure compared to the latero-ventral axons (Fig. 4 and Supplementary Fig. 3). Therefore, this observation led us to conclude that the decrease in the avoidance index at the end of the demyelination period was most likely due to a loss of visual acuity.
Figure 4.
Immunostaining of brainstem at the level of Mauthner axons. Horizontal cryostat section of the brainstem of transgenic Tg(mbp:GFP-NTR) Xenopus tadpoles immunostained for GFP (mature oligodendrocytes), 3A10 (axons) and MBP (myelin sheath around axons) before demyelination (A) and at the end of MTZ exposure (B) causing ablation of about two-thirds of GFP+ oligodendrocytes. Demyelination in B is evidenced by loss of MBP staining around 3A10+ axons. However, demyelination is incomplete and notably the very large Mauthner axons (at higher magnification in A′ and B′) remained MBP positive. Scale bar = 50 µm (A and B) and 20 µm (A′ and B′).
Visual avoidance correlates with drug-induced improved remyelination
Having shown the direct link between a failure or recovery of the visual avoidance index and a given demyelinated lesion or spontaneous myelin recovery of the optic nerve, respectively, we questioned whether this functional test could also apply to evaluate a drug-induced acceleration of remyelination. We have previously shown that among a panel of candidates favouring remyelination, clemastine and siponimod were the most efficient drugs to accelerate remyelination in our model of conditionally demyelinated tadpoles.15 It has been shown that in murine neonatal hypoxic injury clemastine promotes OPC differentiation and myelination, via an effect on the M1 muscarinic receptor on OPC.20 Siponimod, a potent and highly selective sphingosine 1-phosphate receptor 1 and 5 (S1P1/5) modulator, has been shown to promote remyelination by a dual effect on both the innate immune system and maturation of oligodendrocytes.15,21 In the last series of experiments the number of GFP+ oligodendrocytes per optic nerve was counted before conditional demyelination, at the end of MTZ-induced demyelination and after 3 days of either spontaneous or clemastine- or siponimod-driven recovery (Fig. 5A). At R3 the number of GFP+ cells per optic nerve in tadpoles treated with clemastine (200 nM) was 1.5-fold higher (13.5 ± 0.3, mean ± SEM; n = 13) compared to control animals (8.8 ± 0.4 mean ± SEM; n = 13; P = 0.0003). As expected, this clemastine-driven increase in remyelination translated into a functional improvement of all three behavioural assays: distance travelled was increased by 1.58-fold versus control (71.2 ± 6.7 cm versus 45.0 ± 5.8 cm), velocity by 1.58-fold (2.05 ± 0.19 cm/s versus 1.3 ± 0.17 cm/s) and visual avoidance index by 1.4-fold versus control (76.6% ± 4.6% versus 53.3% ± 6.4) (mean ± SEM, n = 13; Fig. 5B–E, light grey columns). Treatment of demyelinated tadpoles with siponimod (3 nM) increased the number of GFP+ cells by a factor of 1.26 compared to control (10.7 ± 0.2 versus 8.5 ± 0.2; n = 9) and by 1.37-fold the visual avoidance index (75.0 ± 4.5 versus 54.5 ± 5.4; mean ± SEM, n = 9). However, siponimod treatment did not result in a significant improvement of either average swimming speed or distance travelled (Fig. 5B–E, dark grey columns). We had previously shown that in our Xenopus model of conditional de/remyelination, siramesine and sildenafil had no appreciable effect on remyelination.15 Siramesine (5 µM) or sildenafil (1 µM) were added for 3 days at the end of the demyelination process. We confirmed that neither siramesine nor sildenafil improved remyelination, evaluated by counting the number of GFP+ cells per optic nerve, and as expected, they had no significant effect on any of the three functional behavioural tests (Fig. 5F–I). Altogether these data confirm the usefulness of our conditional demyelination model to screen drugs for their potency to promote functional remyelination.
Figure 5.
Improvement of visual avoidance index upon remyelination. Transgenic Tg(mbp:GFP-NTR) Xenopus tadpoles (stage 48–50) were treated for 10 days with metronidazole (10 mM) then returned to either fresh water (controls, Ctrl) or water containing the compound to be tested. Three days after the demyelination period (R3) tadpoles were first submitted to the visual avoidance test in the morning and in the afternoon the number of GFP+ cells per optic nerve was counted in vivo. (A) Flow chart showing the sequence of events tested and the number of tadpoles throughout the experiments. B–E show the results for clemastine (200 nM; light grey columns) and siponimod (3 nM; dark grey columns), two molecules which were shown to promote remyelination in our Xenopus model.15 Four parameters have been evaluated: number of GFP+ cells per optic nerve (B), distance travelled (in cm) during 30 s (C), average speed of swimming (in cm/s) (D) and avoidance index (E). F–I show the results for siramesine (5 µM; light grey columns) and sildenafil (1 µM; dark grey columns), two molecules that were previously tested as inefficacious to promote remyelination.15 Neither siramesine nor sildenafil had any pro-remyelination effect either on number of GFP+ cells (F) or on any of the behaviour tests (G–I).
Discussion
Numerous drugs targeting the inflammatory component of multiple sclerosis are now available, some of them having a positive impact on disability progression.22 However, despite this therapeutic progress, there is still a need to find drugs that can halt silent progression, which correlates with chronic demyelination and related neurodegeneration. Loss of the myelin sheath perturbs normal axon functioning and persistent demyelination renders them vulnerable to irreversible damage leading to axonal transection, with consequent disability accumulation. It is established from experimental, neuropathological and imaging studies that remyelination is neuroprotective, although in most cases insufficient in multiple sclerosis, this remyelination failure being a key player of irreversible axonal damage and neuronal loss.23 Several candidates based on promising efficacity in animal models have reached clinical trials but then failed. One possible reason for these failures is that, in most of the cases, during preclinical testing, efficacy was evaluated mostly on histology only, while behavioural improvement had not been experimented. A typical example is that screening procedures are often based on oligodendrocyte precursor cell proliferation and differentiation, events preceding and different from efficacious wrapping around axons, in as much as there is some evidence that these processes may be independently regulated.24,25 Keeping in mind that histopathological analysis does not allow us to ascertain the functional consequences of demyelination and recovery after remyelination,26 we developed functional assays in the experimental model of conditional demyelination in Xenopus, our reasoning being that behavioural testing should bridge the gap between the evaluation criteria used in experimental models and clinical trials, therefore providing an alternative evaluation of preclinical therapeutic interventions. Here we have been using two types of functional testing: (i) distance travelled and speed of swimming evaluated motor behaviour, which can be compared to several motor tests developed in rodents, such as rotarod, pole tests, beam walking, open field tests, complex wheel, walking ladder, foot print; and (ii) avoidance of a virtual collision tested the visual system, which in rodent are evaluated by different approaches such as electroretinogram or optokinetic tracking or visual evoked potentials (VEP).
The rotarod is the most frequently used test for neuromotor performance in rodents. Developed more than 50 years ago,27 it measures the ability of mice or rats to maintain balance on a rotating rod; therefore, it evaluates cerebellar function and motor coordination. The basic principle is the ability to hold and the general parameter measured is the latency to fall and number of flip/fall as illustrated in the cuprizone (CPZ)-induced demyelination/remyelination model.28 In our Xenopus model, locomotion was tested by measuring the distance and the speed of swimming, two parameters significantly altered at the end of demyelination process and restored following remyelination. In rodents the distance travelled is more easily performed in the open field, which explores both locomotor activity and anxiety-like behaviour. In this test rodents are placed in a circular or square open environment and the total distance travelled and velocity are explored in addition to curiosity-like activities. Of note, data presented in the CPZ-induced demyelination model were inconsistent and contradictory; some reported that CPZ-treated mice spent more time with locomotion, their mean velocity was significantly higher and the distance they travelled was longer than untreated mice.29,30 In contrast, some authors reported that CPZ feeding significantly decreased distance moved and movement velocity compared to the control group,31,32 while others claimed the locomotor activity data showed that the total distance travelled was similar in mice with CPZ treatment and control mice, suggesting intact motor function in the CPZ-treated animals.33 These discrepancies may be due to the fact that demyelination-related impairment of locomotor activity may occur at different levels of the motor tracts and may not be simple to monitor.
In this respect, demyelination-induced visual impairment allows a more precise localization of demyelinated lesions. Visual disturbances are the most frequent initial manifestation of multiple sclerosis.34 In rodents, demyelination of visual tracks are inferred when altered performances are measured in tests depending on visual cues, such as running wheel or the Y-maze.35 More specific tests are also developed, such as multifocal electroretinograms 36 or quantification of mouse spatial vision using a virtual optomotor system.37 In multiple sclerosis patients, demyelination of the optic nerve is most often associated with the loss of retinal ganglion cells, evaluated by optical coherence tomography, a technique well adapted to mouse and rats.21 VEP, i.e. visual system responses to repeated visual stimuli, allowed the latency and amplitude of a signal from the retina to the visual cortex to be recorded. VEP provides a tool to investigate signal processing through the visual system along the optic nerve and optic track, although lacking specificity about lesion location in the case of concomitant pre- and retrochiasmatic lesions.38–40 In multiple sclerosis and optic neuritis, VEP tests are useful in detecting abnormality in patients, monitoring the progression of lesions, including remyelination, and correlating well with optical coherence tomography.41,42
In this context, our transgenic model of conditional demyelination in which, thanks to the transparency of tadpoles, the extent of remyelination can be monitored in vivo and coupled to the restoration of function including a visual avoidance index, represents a reliable and simple assay to ascertain functional recovery after demyelination, therefore providing a way to de-risk and be predictive of the outcome of therapeutic trials targeting remyelination.
Supplementary Material
Acknowledgements
We are thankful to Dr Cheryl-Ann Friedman (McGill University) for helpful discussion on interspecies comparison of mbp regulatory sequences. Rabbit anti-pan neurofascin was a generous gift from Dr P.J. Brophy (University of Edinburgh); mouse monoclonal antibody IgG1 anti-neurofilament, clone 3A10, developed by Jessel/Dodd/Brenner-Morton, was obtained from the Developmental Studies Hybridoma Bank, developed under the auspices of the NICDH and maintained by the University of Iowa, Department of Biology, Iowa City, IA, USA (52 242). We thank David Akbar and ICM-QUANT imaging facility for help in generating micrograph illustrations.
Contributor Information
Esther Henriet, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Elodie M Martin, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Pauline Jubin, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Dominique Langui, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Abdelkrim Mannioui, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Bruno Stankoff, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France; AP-HP, Saint-Antoine Hospital, F-75012 Paris, France.
Catherine Lubetzki, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France; AP-HP, GH Pitié-Salpêtrière, F-75013 Paris, France.
Arseny Khakhalin, Bard College, 30 Campus Rd, Annandale-on-Hudson, NY 12504, USA.
Bernard Zalc, Sorbonne Université, Inserm, CNRS, ICM-GH Pitié-Salpêtrière, F-75013 Paris, France.
Funding
Our laboratory is supported by Inserm, CNRS, Sorbonne University, Paris Brain Institute (ICM), the program ‘Investissements d’avenir’ programs ANR-10-IAIHU-06 (IHU-A-ICM) and NeurATRIS. The study was partially funded by research grants to BZ from the European Union’s Horizon 2020 Research and Innovation Program ENDpoiNTs project Grant Agreement number: 825759, grant BRECOMY funded jointly by DFG and ANR, grant MADONA from ANSES and grant IONESCO from NeurATRIS.
Competing interests
The authors report no competing interests.
Supplementary material
Supplementary material is available at Brain online.
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Data Availability Statement
All data are available upon reasonable request. Data supporting this article are given in the text and Supplementary material.