Novel alterations in corneal neuroimmune phenotypes in mice with central nervous system tauopathy

Abstract

Background

Tauopathy in the central nervous system (CNS) is a histopathological hallmark of frontotemporal dementia (FTD) and Alzheimer’s disease (AD). Although AD is accompanied by various ocular changes, the effects of tauopathy on the integrity of the cornea, which is densely innervated by the peripheral nervous system and is populated by resident dendritic cells, is still unknown. The aim of this study was to investigate if neuroimmune interactions in the cornea are affected by CNS tauopathy.

Methods

Corneas from wild type (WT) and transgenic rTg4510 mice that express the P301L tau mutation were examined at 2, 6, 8, and 11 months. Clinical assessment of the anterior segment of the eye was performed using spectral domain optical coherence tomography. The density of the corneal epithelial sensory nerves and the number and field area of resident epithelial dendritic cells were assessed using immunofluorescence. The immunological activation state of corneal and splenic dendritic cells was examined using flow cytometry and compared between the two genotypes at 9 months of age.

Results

Compared to age-matched WT mice, rTg4510 mice had a significantly lower density of corneal nerve axons at both 8 and 11 months of age. Corneal nerves in rTg4510 mice also displayed a higher percentage of beaded nerve axons and a lower density of epithelial dendritic cells compared to WT mice. From 6 months of age, the size of the corneal dendritic cells was significantly smaller in rTg4510 compared to WT mice. Phenotypic characterization by flow cytometry demonstrated an activated state of dendritic cells (CD86⁺ and CD45⁺ CD11b⁺CD11c⁺) in the corneas of rTg4510 compared to WT mice, with no distinct changes in the spleen monocytes/dendritic cells. At 2 months of age, there were no significant differences in the neural or immune structures between the two genotypes.

Conclusions

Corneal sensory nerves and epithelial dendritic cells were altered in the rTg4510 mouse model of tauopathy, with temporal changes observed with aging. The activation of corneal dendritic cells prior to the gradual loss of neighboring sensory nerves suggests an early involvement of corneal immune cells in tau-associated pathology originating in the CNS.

Introduction

Alzheimer’s disease (AD) and tau-related variants of frontotemporal dementia (FTD) are neurodegenerative diseases characterized by the pathological accumulation of tau in the central nervous system (CNS). The accumulation of hyperphosphorylated tau, concomitant with the progressive formation of neurofibrillary tangles (NFTs), further drives impairment of cellular trafficking [1], synaptic dysfunction [2, 3], cognitive deficits [4], and neuronal loss [5, 6]. The effect of CNS degeneration on ocular health [7], such as retinal nerve fiber thinning and retinal neuronal loss, has been described both in patients [8–10] and mouse models of tauopathy [11–13]. As one of the most highly innervated tissues of the body, the cornea has recently been used in clinical studies to non-invasively examine peripheral nervous system pathology secondary to CNS neurodegeneration in vivo [14–20]. However, there is a paucity of preclinical studies aiding the elucidation of causative factors behind corneal changes in neurodegenerative disorders.

The cornea is supplied by sensory nerve axons that form part of the peripheral nervous system (PNS) [21, 22]. A rich supply of sensory nerves originates from the ophthalmic branch of the trigeminal nerve and ramifies to form a plexus in the sub-basal region of the corneal epithelium. Nerve axons branching from the sub-basal nerve plexus (SBNP) extend processes, which ramify and terminate through the entirety of the epithelium where they form the superficial nerve terminals (SNT) [23]. Corneal nerves provide trophic support to maintain both the homeostasis of the corneal epithelium and functional integrity of the ocular surface [24]. Among the resident immune cells, epithelial dendritic cells (DCs) predominantly reside in the basal epithelium of the human [25, 26] and mouse cornea [27, 28], where they not only serve as immune sentinels [29, 30] but also act as a bridge between the innate and adaptive immune systems [31]. Most DCs in the corneal epithelium are located peripherally, with a decline in numbers centrally [26]. Growing evidence shows the involvement of resident corneal DCs in maintaining the homeostasis of corneal nerves [32], suggesting a direct interaction between the immune system and peripheral nerves at the ocular surface.

Corneal epithelial DCs and nerves can be visualized and quantified by corneal confocal microscopy, which is a non-invasive ophthalmic imaging tool [33, 34]. Emerging evidence indicates a decline in the corneal nerve fiber density in patients with Parkinson’s disease (PD) [35, 36], small fiber neuropathy [17] and Multiple Sclerosis (MS) [14, 15]. Recently, reduced corneal sensitivity and altered tear production were reported in individuals with Alzheimer’s disease (AD) [37]. Corneal nerve fiber loss has been shown in patients with mild cognitive impairment (MCI) and dementia, with a strong correlation evident between corneal nerve fiber loss and decreasing cognitive function [16]. However, the precise changes that occur to the neuroimmune interactions between corneal nerves and resident DCs are still unknown in the context of CNS degenerative diseases.

In order to understand the peripheral manifestations of CNS degeneration at the ocular surface, we characterized the temporal effect of CNS tauopathy on the integrity of corneal nerves and resident DCs using the rTg(tauP301L)4510 mouse model of tauopathy [4]. The rTg4510 model overexpresses doxycycline-repressible human mutant tau with the MAPT P301L mutation, which is associated with genetic forms of FTD-tau, under the control of the Ca²⁺-calmodulin-dependent protein kinase II (CaMKII) promoter [4]. It is important to note that these random insertions led to disruptions in a number of endogenous genes [38], which exacerbate phenotypic changes in rTg4510 [39]. Nonetheless, among the models of tauopathy, the hTau in these mice promotes progressive age-related NFTs, neuronal loss concomitant with the tau accumulation in the forebrain and hippocampus, followed by the substantial neurodegeneration [4, 6, 40–43], reminiscent of tauopathy in patients with FTD-tau [44]. In this animal model, we report that both peripheral nerves in the cornea and epithelial DCs were altered in mice with the age-related accumulation of pathological tau. Corneal DC morphology was affected prior to corneal nerve degeneration, suggesting that DCs may be involved in the peripheral nerve abnormalities in the presence of CNS tauopathy. This study implicates the potential utility of using corneal neuroimmune phenotypes as landmarks to identify peripheral neuropathology secondary to the CNS degeneration.

Methods

Animals

Male and female wild type (WT) and tau transgenic littermates (rTg4510) were bred and housed under specific pathogen-free conditions at the Florey Institute of Neuroscience and Mental Health. Age-matched WT and rTg(tauP301)4510 mice were examined at 2, 6, 8, and 11 months of age (n = 6–8 per group per age). All animal procedures were approved by the Animal Ethics Committee at the Florey Institute of Neuroscience and Mental Health and complied with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research.

Spectral domain optical coherence tomography

The anterior segment was examined using SD-OCT to ensure there were no clinical signs of inflammation (i.e., inflammatory cells, corneal edema, corneal opacity, or epithelial erosions) or other structural abnormalities in the anterior segment of the eye. Euthanized mice were placed on the animal imaging platform and rodent alignment stage (AIM-RAS) attached to an SD-OCT imaging device (Bioptigen Envisu R22200 VHR; Bioptigen, Inc., Durham, NC, USA). Volumetric 3 mm × 3 mm rectangular scans of the anterior segment were captured using an OCT device with an 18-mm telecentric lens. Central corneal thickness was determined by measuring the distance from the tear film to the endothelium using the ImageJ software (http://imagej.nih.gov/ij/; National Institutes of Health, Bethesda, MD, USA), as previously described [45].

Wholemount immunofluorescence and confocal microscopy

Corneas from age-matched WT and rTg4510 mice were collected at 2, 6, 8, and 11 months of age and fixed in 100% methanol for 1 h at −20 °C. After three washes in PBS, corneas were permeabilized in 20 mM EDTA for 40 min at 37 °C and then blocked in PBS containing 3% BSA-PBS and 0.3% Triton X-100 for 1 h at room temperature. Tissues were stained using a combination of primary antibodies to identify nerves (rabbit α-β-tubulin III, 1:500, Sigma T2200, St Louis, MO, USA) and DCs (rat α-CD45, 1:500, BD Biosciences, Franklin Lakes, NJ, USA). The primary antibody incubation was kept at 4 °C overnight and the corneas were washed and incubated with corresponding secondary antibodies goat α-rabbit 647 and goat α-rat Cy3 (1:1000, Invitrogen, Carlsbad, CA, USA) for 2 h at room temperature. Corneas were examined with a fluorescence microscope (Olympus BX511, Zeiss) to measure dendritic cell density and morphology, and with a confocal microscope (Leica TCS SP8; Leica, Germany) to visualize corneal nerves.

Confocal Z-projections were generated for the SBNP and SNT. Area thresholds, which measure the percentage field area occupied by corneal nerves, were quantified separately for the SBNP and SNT in the central and peripheral corneal regions, as previously described [46, 47]. All image analyses were carried out in a masked fashion, with the genotypes unmasked after the data acquisition for each age cohort. Corneal nerve beading was measured using the Z-stacked images of the SBNP. A series of binary conversions were performed using the default method of thresholding in Image J ("Auto-Threshold"). The image was further processed to create the binary images (total nerve projections, continuous and beaded) for each confocal image using 'Subtracting Background' and "Shape Filter". The percentage of 'nerve beading' was calculated (raw integrated density of "nerve beads"/full nerve length × 100) for the central and peripheral cornea. DC morphometric analyses were carried out on images of CD45⁺ DCs using × 10 objective (600 μm × 900 μm). One field from the central cornea and two fields from the peripheral cornea were used for image analysis (DC cell density and morphometric parameters). DC morphometric analyses included DC field area, cell area, total dendrite length (TDL), and number of dendrites per cell using the established protocol in humans [48, 49] and mice [50, 51]. In brief, each cell of interest, isolated by a ROI, was processed through a local threshold and skeletonized, for the cell area and TDL analysis, respectively (Fig. 3). Each parameter had a total of 20–30 cells included for the peripheral cornea and 1–3 cells for the central cornea. Each datapoint on the graph represents the mean for an individual mouse.

Fig. 3.

Dendritic cells in the central and peripheral corneal epithelium of WT and rTg4510 mice at 2, 6, 8, and 11 months. a–f Representative images of CD45⁺ DCs show higher abundance in the peripheral versus central cornea for both genotypes, with few DCs across the peripheral area in rTg4510 mice at 11 months (d–f). c, f In rTg4510 mice, CD45⁺ DCs had an altered, amoeboid morphology compared to WT at 11 months. g The central cornea showed no significant inter-group differences at any age (P > 0.05). h Substantial differences were observed in the peripheral cornea, whereby there was a significantly lower DC density in rTg4510 mice compared to WT mice, at both 8 and 11 months (P < 0.05). i–p DCs were analyzed for field area, cell area, total dendrite length (TDL), and number of dendrites per cell. There was no genotype difference in the central cornea except for a larger cell area in the 8-month-old WT mice compared to rTg4510 mice (j, P < 0.05). m–p In the peripheral cornea, DC field areas were significantly smaller in rTg4510 mice compared to WT, at 6, 8, and 11 months of age (m, P < 0.05). Cell area analysis shows no significant genotype difference (n). TDL and number of dendrites per cell were less in the 11-month-old rTg4510 mice compared to WT (o, p; P < 0.05). q Morphometric methods for field area, cell area, TDL, and number of dendrites per cell. Scale bars represent 100 μm. Date are shown as mean ± SEM, where * indicates P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 as determined using the two-way ANOVA and Tukey’s multiple comparisons

Quantitative real-time polymerase chain reaction (qPCR)

Corneas were stabilized in RNAlater solution overnight at 4 °C before being dissected and processed for RNA extraction (n = 11 per genotype) using PureLink RNA Mini Kit (Invitrogen, Life Technologies) according to manufacturer’s instructions. Each sample containing two corneas per mouse was homogenized in lysis buffer containing β-mercaptoethanol using QIAGEN TissueLyser II. PureLink DNase was added to each spin column containing the resulting RNA to prevent contamination. RNA concentration and quality were assessed by ND-2000 spectrophotometer (Nanodrop technologies, USA) for each sample and stored at −80 °C. cDNA was prepared from 500 ng of each RNA sample using Tetro cDNA Synthesis Kit (Bioline, London, UK) according to manufacturer’s protocol.

Gene expression changes were measured via qPCR using Taqman assays for Gapdh (Mm99999915_g1, Entrez Gene ID: 131530) and CaMKIIa (Mm00437967_m1 Entrez Gene ID: 304088) and Taqman Gene Expression Master Mix (Thermo Fisher Scientific). Each qPCR (duplicates) was run using the QuantStudio 12 K Flex software on the Vii7A Real-Time PCR system at the Melbourne Brain Centre (Applied Biosystems, USA). Analysis was performed using the 2 − ΔΔCt method, which was normalized to the expression of the housekeeping gene.

Flow cytometry of corneas and spleens

Corneas from 9-month-old WT and rTg4510 mice (n = 6 per genotype) were excised and pooled (4 corneas, 2 animals per tube, n = 3). Excised corneas were digested in sodium medium containing 2 mg/mL collagenase D (Roche, Indianapolis, IN) and 0.5 mg/mL DNase I (Roche, Indianapolis, IN) for 30 min at 37 °C. Repetitive trituration was performed after the digestion using a sterilized glass Pasteur pipette. Single cell suspensions were filtered through a 70 μm mesh (BD Biosciences) and centrifuged at 4 °C, 600g for 5 min. The pellet was resuspended in sodium medium [52] (145 mM NaCl, 5 mM KCl, 0.1 mM Ca²⁺, 10 mM HEPES, 0.1% BSA, 5 mM d-glucose pH 7.5) containing CD16/32 receptor block to avoid non-specific staining. Flow cytometry antibodies, including CD11b-PE, CD45-FITC, and CD11c-PeCy7 (1:400, BD Biosciences, Franklin Lakes, NJ, USA) along with isotype control antibodies, were used to isolate DCs from the mouse corneas, while CD86, MHC-class II, and CD80 all conjugated to allophycocyanin fluorophore (APC) were used to separately visualize the activation status of the DCs. The staining process for the aliquoted single cell suspension was performed on an orbital shaker at 4 °C for 30 min. Unstained controls omitting the above antibodies were also included to confirm the positive and negative cell population. Following the staining, the cells were washed twice in Dulbecco’s phosphate-buffered saline (DPBS), centrifuged at 4 °C, 600g for 5 min and resuspended in sodium medium. The single-cell suspension was assessed on CytoFlex S Flow Cytometer (Beckman Coulter). UltraComp eBeads Compensation Beads (Invitrogen, 01-2222-41) and single-stained corneal samples were used to establish and validate compensation gates for the above antibody combinations. The FlowJo software (v10) was used to analyze the data in both genotypes.

Statistical analyses

All statistical analyses were performed using Prism 7 (GraphPad Software, CA, USA). Statistical significance was assessed using a one-way ANOVA or two-way ANOVA (as appropriate). Unpaired Student's t-tests were performed to compare WT and rTg4510 mice for corneal thickness, while a two-way ANOVA was performed to compare the corneal cellular characteristics (nerve and DC parameters in the different age groups). Tukey’s post hoc tests were applied where multiple statistical comparisons were performed. Unpaired Student's t tests were performed to assess the comparisons at each age group. An alpha of 0.05 was used to define statistical significance.

Results

Structural integrity in the anterior segment of rTg4510 mice

The anterior segment of WT and rTg4510 mice aged 11 months were examined using SD-OCT to determine if CNS tauopathy was associated with any overt structural or cellular corneal pathology (Fig. 1). There were no structural abnormalities observed in the anterior segment (i.e., cellular infiltrates, epithelial disruption, stromal edema) of rTg4510 compared to WT mice (Fig. 1a–f). There were also no significant differences in central corneal epithelial thickness (Fig. 1g, P > 0.05) or stromal thickness in rTg4510 mice compared to WT (Fig. 1h, P > 0.05).

Fig. 1.

Spectral domain optical coherence tomography (SD-OCT) images of the anterior segment from wild type mice and rTg4510 mice aged 11 months. aEn face view of the WT mouse eye (3 mm × 3 mm rectangular scan) and b corresponding SD-OCT scan of the anterior segment. Red arrowed line represents the en face location of the scan. c, f Structure of the corneal epithelium and stroma, as shown using SD-OCT. No visible differences in the corneal structure or anterior segment were observed between WT (a-c) and rTg4510 mice (d-f). g, h There were no quantitative differences in corneal epithelial (g) or stromal thickness (h) between WT and rTg4510 mice. Data are shown as mean ± SEM where NS represents a comparison that is not statistically significant (n = 8 per group) as assessed using unpaired Student's t-test. Scale bars represent 200 μm in Fig. 1a and d, and 100 μm (vertical axis), and 200 μm (horizontal axis) in Fig. 1b and e

Disrupted corneal nerve architecture in rTg4510 mice

Corneal sensory nerve density and morphology were assessed in WT and rTg4510 mice aged 2, 6, 8, and 11 months using β-tubulin wholemount immunostaining. In the superficial epithelial layer, there was a higher density of SNTs (Fig. 2a, b) in the central corneas of WT mice compared to rTg4510 mice (Fig. 2c, d) at 11 months of age. Area threshold analysis confirmed that the density of the SNTs, in the central cornea, was significantly lower in rTg4510 mice compared to WT, at 11 months (Fig. 2e, P < 0.05), but not at 2, 6, or 8 months of age (Fig. 2e, P > 0.05 at each time point). In the peripheral region, there was no significant difference in the density of the SNTs between rTg4510 and WT mice across the age groups (Fig. 2f, P > 0.05).

Fig. 2.

Regional distribution, density and morphology of corneal sensory nerves in WT and rTg4510 mice at 2, 6, 8, and 11 months. a–d Representative images of the superficial nerve terminals (SNT) in the corneas of WT and rTg4510 mice at 11 months. β-tubulin III⁺ SNTs can be abundantly seen in the central and peripheral cornea of WT mice (a, b), while rTg4510 mice had a relatively sparse distribution in the central cornea but were spared in the peripheral cornea (c, d). e, f Percentage area demonstrates a significantly lower density of SNTs in the central cornea of rTg4510 compared to WT mice at 11 months (P < 0.05), while the peripheral cornea showed no significant intergroup difference across the age groups (P > 0.05). g–n Representative images of the sub-basal nerve plexus (SBNP) in corneas of WT and rTg4510 mice showing a lower abundance of SBNPs that appeared in a beaded morphology in the central and peripheral areas of rTg4510 mouse corneas (m, n; yellow arrowheads). o, p The density of SBNPs was significantly lower in the central cornea of rTg4510 compared to WT mice at 11 months (P < 0.05), while the lower SBNP density occurred in the peripheral cornea from 8 months and persisted to 11 months (P < 0.05). q, r The extent of nerve beading that characterizes the morphology of SBNPs was analyzed; the percentage of beaded nerves was remarkably higher in both central and peripheral regions of rTg4510 mouse corneas at 11 months (P < 0.05) but not in the younger age cohorts (P > 0.05). Data are shown as mean ± SEM, where * indicates P ≤ 0.05 (n = 6 per group) as demonstrated using two-way ANOVA and Tukey’s multiple comparisons. Scale bars represent 100 μm for all images except for f–n where the scale bars are 10 μm

In the basal epithelial layer, the density of β-tubulin⁺ nerve axons forming the SBNP was lower and appeared to demonstrate a highly beaded morphology in both the central and peripheral cornea of rTg4510 compared to WT mice at 11 months of age (Fig. 2g–n). The density of β-tubulin⁺ nerve axons was lower in both central corneal (11 months) and peripheral corneal regions (8 and 11 months) of rTg4510 compared to WT mice (Fig. 2o, p, P < 0.05 for both comparisons). Additionally, the nerve axons in both corneal regions displayed a significantly higher proportion of nerve beading in rTg4510 compared to WT mice at 11 months of age (Fig. 2 q, r, P < 0.05).

Altered morphology and distribution of epithelial dendritic cells in rTg4510 mice

Corneal epithelial DCs were visualized by CD45 immunohistochemistry. CD45⁺ cells were visible in the central and peripheral corneal epithelium of WT (Fig. 3a–c) and rTg4510 mice (Fig. 3d–f). There was no significant difference in DC density between WT and rTg4510 mice in the central cornea at 2, 6, 8, and 11 months of age (Fig. 3g, P > 0.05 for each comparison). In the peripheral corneal epithelium, DC density was significantly lower in rTg4510 mice aged 8 and 11 months compared to WT mice (Fig. 3h, P < 0.05 at both time points). DC morphometric parameters (DC field area, cell area, TDL, and number of dendrites per cell) used clinically as an indicator of DC “maturity” in the corneal epithelium [48] revealed no significant intergroup differences in the central cornea (Fig. 3i–l), except for a higher cell area in the 8-month-old WT mouse corneas compared to rTg4510 mice (Fig. 3j, P < 0.05). In the peripheral cornea, DC field area was significantly smaller in rTg4510 mice at 6 months of age, and this small field area persisted at 8 and 11 months (Fig. 3m, P < 0.05). Cell area did not differ between WT and rTg4510 for any age group (Fig. 3n, P > 0.05). TDL and number of dendrites per cell were substantially lower in the 11-month-old rTg4510 mouse corneas compared to the aged-matched WT (Fig. 3o, p, P < 0.05).

Phenotypic analysis of corneal DCs in the presence of tauopathy

Previous flow cytometry studies of the mouse cornea have demonstrated that resident epithelial DCs are CD11c⁺CD11b⁻, whereas the stromal DCs are CD11c⁺CD11b⁺ [53, 54]. Using this paradigm to quantitatively assess corneal DC phenotype, we next investigated the effect of tauopathy on the immunophenotype of corneal DC populations. Here, we adopted a similar gating strategy to compare the activation status of CD11c⁺CD11b⁻ “epithelial” DCs and CD11c⁺CD11b⁺ “stromal” DCs in WT and rTg4510 mice at 9 months of age (Fig. 4a, b). While the total frequency of each population was not markedly different between WT and rTg4510 mice (Fig. 4b), the proportion of CD86⁺ cells was substantially higher in CD11c⁺CD11b⁻ epithelial DC and CD11c⁺CD11b⁺ stromal DC populations of rTg4510 mice (stromal, 48.8%; epithelial, 4.74%) compared to WT mice (stromal, 30.2%; epithelial, 1.87%) (Fig. 4c). The percentage of CD11c⁺CD11b⁻ CD80⁺ “epithelial” DCs was also higher in the rTg4510 mouse corneas (epithelial, 6.94%) compared to WT mice (epithelial, 2.08%) (Fig. 4d). Flow cytometric plots of absolute numbers show that the epithelial DC had a higher number of CD86⁺ and CD80⁺ population in rTg4510 mouse corneas compared to WT (Fig. 4e). The stromal DCs also demonstrated a higher number of CD86⁺ and CD80⁺ cells in the corneas of rTg4510 mice compared to WT (Fig. 4e). These data suggest an activated phenotype of corneal DC subsets in this mouse model of tauopathy.

Fig. 4.

Representative flow cytometric plots showing different populations of dendric cells in the cornea of WT and rTg4510 mice at 9 months of age. a, b Gating strategies for enumeration of CD45⁺CD11c⁺ CD11b⁺ stromal DCs and CD45⁺CD11c⁺ CD11b⁻ epithelial DCs in WT and rTg4510 mice. c Frequencies of CD86⁺ stromal and epithelial DCs in two genotypes. rTg4510 mice had a higher proportion of CD86⁺ stromal DCs (48.8%) compared to WT (30.3%). Proportion of CD86⁺ epithelial DCs were also substantially higher in rTg4510 (4.74%) compared to WT (1.87%). d Proportion of CD80⁺ stromal DCs was 82.5% in WT and 88.% in rTg4510. Epithelial DCs, however, comprise a higher proportion of the CD80⁺ population in rTg4510 (6.94%) than WT (2.08%). e The corneas from rTg4510 mice had a higher percentage of CD86⁺ epithelial DCs and stromal DCs compared to WT as well as higher percentage of CD80⁺ epithelial DCs and stromal DCs at 9 months of age

Phenotypes of splenic immune cells in rTg4510 mice

To interrogate whether the presence of systemic inflammation accompanied the altered corneal DC phenotype, we analyzed the frequency and activation profile of CD45⁺ CD11b⁺ CD11c⁺ and CD45⁺ CD11b⁻ CD11c⁺ populations in spleens of rTg4510 and WT mice at 9 months of age (Fig. 5). In the rTg4510 mouse cornea, CD45⁺ leukocyte frequency of live splenocytes was similar to age-matched WT mice (Fig. 5a, b). In the CD45⁺CD11b⁺ and CD45⁺CD11c⁺ populations, the percentages of CD86⁺ and CD80⁺ populations were similar between WT and rTg4510 mice (Fig. 5c). The comparative plots of absolute cell numbers demonstrate that there was a rise in the abundance of CD86⁺ and CD80⁺ cells in the CD11b⁺ splenocyte populations of the rTg4510 mice compared to WT mice (Fig. 5d). The splenic CD11c⁺ population, on the other hand, showed no notable differences in the size of CD86⁺ and CD80⁺ populations between WT and rTg4510 mice (Fig. 5d).

Fig. 5.

Spleen flow cytometric plots showing the phenotypes of CD45⁺ cell populations in WT and rTg4510 at 9 months. a Gating scheme for splenocytes isolation showing DAPI-population was used for the downstream analysis. b Total CD45⁺ cells were not different between WT (99.9%) and rTg4510 mice (99.8%). c The proportion of CD86⁺ and CD80⁺ population was low in WT and displayed no substantial changes in rTg4510 mice. d The absolute number of CD86⁺ and CD80⁺ showed no difference in the CD11c⁺ splenocytes between the two genotypes, but a higher number of CD86⁺ and CD80⁺ cells in the CD11b⁺ splenic immune subset of rTg4510 mice compared to WT mice

Quantification of flow cytometry data

In corneas, the proportion of CD45⁺ leukocytes was significantly lower in rTg4510 cohorts at 9 months of age compared to WT mice (Fig. 6a, P < 0.05). Representative dot plots demonstrate the shift towards an elevated population of CD11c⁺CD80⁺ and CD11c⁺ CD86⁺ in rTg4510 mice (Fig. 6b). The positive populations of CD80 and CD86 were then confirmed by the unstained control and isotype control antibodies, which depict the negative populations in both cornea and spleen tissues (Fig. 6c and Supplementary Fig. 2S). Among CD11c⁺CD11b⁺ DCs, rTg4510 mouse corneas had a significantly higher proportion of CD80⁺ and CD86⁺ “activated” populations compared to WT mice (Fig. 6d, e, P < 0.05). This shift towards the “activated” DC phenotypes in rTg4510 cohort was also significant in the “stromal” CD11c⁺CD11b⁺ DC subsets (Fig. 6f, g, P < 0.05). Among CD11c⁺ and CD11b⁺ immune cell subsets existing in the spleen, the proportion of CD45 leukocytes (Fig. 6h, P > 0.05), CD80⁺, and CD86⁺ DCs was not statistically different between WT and rTg4510 cohorts (Fig. 6i–l, P > 0.05).

Fig. 6.

Quantification of cornea and spleen flow cytometry data in WT and rTg4510 cohorts. a There was a significantly lower frequency of CD45⁺ leukocytes in rTg4510 corneas compared to WT mice. b Representative dot plots demonstrate the shift in the “activated” DC phenotypes (CD80⁺ and CD86⁺) that are more prominent in rTg4510 cohorts. c Unstained samples of cornea and spleen tissues show the negative populations thus serving as a guide for identifying the positive population of CD80/CD86. d, e In the CD11c⁺CD11b⁺ corneal DC subset, the proportion of CD80⁺ and CD86⁺ DCs was reduced in WT mice compared to rTg4510 mice (P < 0.05). f, g Similar declines in the CD80⁺ and CD86⁺ DC populations were observed in CD11c⁺CD11b⁻ subset (P < 0.05). h–l Comparing WT and rTg4510 spleen tissues, no significant change in CD45, CD80, and CD86 populations was found in splenic CD11c⁺ or CD11b⁺ immune cell subsets (P > 0.05). Data are shown as mean ± SEM, where * indicates P ≤ 0.05 (n = 3 per group for corneas and n = 4 per group for spleens) as determined using the unpaired Student's t-test

Gene expression of CaMKIIa in the mouse cornea

In this mouse model of tauopathy, tau transgene expression is dependent on the CaMKIIa promoter which drives transgene expression in the forebrain. We investigated whether CaMKIIa is expressed locally within the corneas of WT and rTg4510 (Supplementary Fig. 1S). There was no detectable expression of CaMKIIa in the corneas, as well as no significant difference in its expression between WT and rTg4510 cohorts at 4 months of age (Supplementary Fig. 1S, P > 0.05). This observation confirms that the corneal neuropathology was not driven by local tau transgene expression.

Discussion

In this study, we characterized the temporal effects of CNS pathological tau accumulation on the corneal neuroimmune phenotype in mice. Our data demonstrate, for the first time, that corneal nerves and DCs are altered in a mouse model of tauopathy, indicating a peripheral manifestation of CNS tauopathy and/or neurodegeneration. Furthermore, in rTg4510 mice, corneal DCs displayed an altered immunophenotype (lower field area, total dendrite length, and number of dendrites per cell), a lower cell density, and an activated status. The differences in DC morphology were most apparent in the peripheral cornea, with the lower field area apparent by 6 months in rTg4510 mice, which occurred prior to the nerve differences. Lastly, there was a minimal effect of CNS tauopathy on the immunophenotype of analogous cell populations in the spleen. These unexpected findings highlight the possibility that examining corneal neuroimmune features could provide a novel strategy to detect the peripheral manifestations of CNS tauopathy, and further reflect the severity of the tau-driven neurodegenerative processes.

The axonal atrophy of neurons is a pathological hallmark of neurodegenerative conditions, such as AD [55, 56] and other tauopathies [57]. Tau that aggregates in neurons can propagate via cell-to-cell spreading, leading to the impairment of neuronal networks [58]. Our data, showing the temporal pattern of corneal nerve axonopathy in the presence of CNS tauopathy, suggest a PNS manifestation in rTg4510 mice that expresses forebrain-specific hyperphosphorylated tau. The occurrence of the corneal neuropathology coincided with the reported increasing levels of tau burden in the cortex and hippocampus at 8 months of age, along with severe brain atrophy and cognitive impairment at 12 months [6, 42]. Furthermore, our CaMKIIa gene expression data confirm that these corneal neuropathological phenotypes were not driven by local tau transgene expression, which is under the control of the CaMKIIa promoter, suggesting a likelihood of a secondary manifestation of CNS pathology. This concept of peripheral manifestation of CNS pathology is reported in the PS19Tg mouse model of tauopathy where mice develop motor dysfunction and sciatic nerve pathology, accompanied by a high abundance of mutated tau proteins in the sciatic nerves [59].

The mechanism underlying the impaired corneal nerves in rTg4510 mice is not entirely understood. In cross-sectional studies of individuals with PD, evidence of a decrement in the anisotropic component of white matter fibers in the early trigeminal nerve was detected by magnetic resonance imaging [60]. In addition, lower corneal nerve density and nerve length has been reported in individuals with PD [20, 35, 36]. Tau propagation is reported to depend on neural connectivity. For example, an abundance of hyperphosphorylated tau is reported in the brainstem and spinal cord [61]. While evidence for the propagation of misfolded tau proteins is emerging [61, 62], future studies are necessary to confirm the presence of abnormal tau in the trigeminal ganglion where the neuronal cell bodies of the corneal nerves are located and merge into a single, large sensory root entering the brainstem.

The alterations to corneal nerve architecture already identified clinically in PD [35, 36], MS [14, 15], and AD [16, 37], led us to postulate that, in addition to corneal neuropathology, corneal DCs might also be affected in the mouse model of tauopathy due to the known intimate neuroimmune crosstalk in the corneal epithelium. DCs secrete neurotrophins, such as ciliary neurotrophic factor, that regulate corneal sensory nerves during homeostasis and following nerve injury [47]. Pharmacological depletion of DCs in the mouse cornea has been shown to correlate with lower corneal nerve densities under homeostatic conditions [32] and following injury [47]. We found that the lower density of corneal nerve axons in the peripheral cornea paralleled a lower DC density in the mouse model of tauopathy. The gradual age-related increase in SBNP measurements in the aged WT mice may be explained by a true physiological increase in SBNP, as has been reported in rats [63]. However, other studies in mice report a decline in nerve density with aging [50, 64]. Furthermore, corneal nerve density differs according to strain [65]. In our study, all mice were on an Agouti background; thus, it is possible that this strain may have different nerve densities compared to the C57BL/6 strain. It is also worthwhile to note that a range of approaches have been used to measure corneal nerves, including thresholding [46, 47, 66], nerve tracing [46, 50], Scholl analysis [67], or a combination of manual tracing and thresholding [65]. This is an ongoing challenge in the literature, and thus while we acknowledge that thresholding has its limitations, we have controlled for this as best as possible by performing all immunostaining runs for age-matched cohorts in parallel.

The presence of corneal nerve beading in the rTg4510 aged cohort may indicate a nerve repair process, as has been described in individuals with dry eye disease [68], ultraviolet keratitis [69], and diabetes [70]. Nerve beading may indicate an abnormal accumulation of organelles that results in disrupted axonal transport [71]. Further studies are warranted to investigate the underlying mechanisms that drive corneal nerve axonopathy in the mouse model of tauopathy. Furthermore, measurements of physiological parameters, such as tear production, tear osmolarity, and corneal sensitivity, are of interest to determine if the described corneal nerve changes relate to altered ocular surface function.

In addition to direct tau-induced axonal impairment, the diminishing presence of corneal DCs may also impair the trophic support provided to the corneal nerves [57] in the rTg4510 mice. However, other studies have reported that higher corneal DC densities are associated with a lower nerve density in individuals with MS [14] and diabetes [72]. This discrepancy may be explained by the chronic systemic inflammation that occurs in these disease conditions. This systemic inflammation was not evident in our mouse model of tauopathy, as shown by the minimal effect of tauopathy on the population of activated splenic immune cell subsets.

Our study provides novel evidence of an altered corneal DC morphology and activated phenotype in the mouse model of pathological tau accumulation. Corneal DCs adopt different patterns in their distribution, density, and morphology under local and systemic inflammatory conditions in mice [51, 73]. Here, we report that the abnormalities in DC morphology reflect an activated phenotype in the transgenic mouse model of FTD. To interrogate the activation state of corneal DCs with a smaller field area, we focused on epithelial and stromal DC subsets [53] due to their central role in corneal immunity [74], their clinical relevance [48], and their capacity to undergo maturation through enhanced expression of activation markers, such as CD86 and CD80 in inflamed corneas [27, 73]. We found that the proportion of both CD86⁺ and CD80⁺ epithelial DCs were higher in tau transgenic mice, suggesting that morphological and density differences in the epithelial DCs were associated with upregulated cell surface expression of activation markers. In the context of CNS diseases, similar activation phenotypes have been reported in peripheral blood DCs from AD patients [75]. In double-transgenic amyloid precursor protein (APP)/presenilin 1 (PS1) murine models of AD, the role of DCs in amyloid plaque accumulation in the brain parenchyma is supported by evidence of increased formation of amyloid plaques following the systemic depletion of DCs [76]. Furthermore, the activated DCs engaged with T cells at sites of entry into the brain, presumably in response to the amyloid plaques [77, 78]. Although T cell infiltration of the cornea was not measured in this study, our data highlighting DC maturation (i.e., density, immunophenotype, and morphology) suggest a dysregulation in corneal immunity associated with the CNS degenerative disorders.

Recent evidence implicates that random insertions of the MAPT P301L and associated transgenes disrupt endogenous mouse genes and contribute to the neuropathological phenotypes in the rTg4510 mouse model [39]. Thus, it is relevant to examine the corneal nerves and DC phenotype in tau transgenic mice where transgene insertion has not disrupted endogenous genes (such as the PS19 tau transgenic mouse [39]), and also in APP/PS1 models to determine whether these neuroimmune changes also occur in related mouse models of dementia.

We also found subtle changes to the subpopulations of splenic immune cells (CD11b⁺ and CD11c⁺) in the presence of CNS tauopathy. Growing evidence supports a role for systemic inflammation as an exacerbating force in the pathogenesis of CNS degeneration (reviewed in [79, 80]), with misfolded proteins [81, 82], altered peripheral immune cells [83–85], and peripheral metabolic dysregulation [86] all reported. Here, the minor changes in the splenic CD86⁺ and CD80⁺CD11c⁺ populations and the elevation of CD86⁺ and CD80⁺CD11b⁺ populations in the rTg4510 mice suggest that the CD11b⁺ myeloid lineage cells may be altered in rTg4510 mice. This phenomenon is supported in part by the evidence from peripheral blood myeloid DCs in AD where the monocytic DCs have an increased expression of proinflammatory markers [75]. It is hypothesized that peripheral myeloid cells migrate to the CNS where they phagocytose tau aggregates or tau-laden neurons [87]; however, the contribution of peripheral myeloid cells to the pathogenesis of AD is still under debate.

Conclusion

Our data show that not only were corneal nerves altered, but that epithelial DCs were phenotypically activated and exhibited morphological changes in the corneas from rTg4510 mice, suggesting a peripheral manifestation of the CNS tauopathy. The changes to epithelial DCs, followed by a loss of corneal nerve fibers, provide new insights into the effect of CNS tauopathy on the peripheral nervous system. These findings provide rationale for evaluating the diagnostic accuracy, including sensitivity and specificity, of corneal imaging of epithelial DC parameters as a disease marker in clinical populations with tauopathy.

Abbreviations

AD

Alzheimer’s disease

APP

Amyloid beta precursor proteins

CaMKII

Ca²⁺-calmodulin-dependent protein kinase II

CNS

Central nervous system

DCs

Dendritic cells

EDTA

Ethylenediaminetetraacetic acid

FTD

Frontotemporal dementia

MS

Multiple sclerosis

MCI

Mild cognitive impairment

OCT

Optical coherence tomography

PD

Parkinson’s disease

PNS

Peripheral nervous system

PS1

Presenilin 1

rTg4510

Transgenic tauopathy mouse model

SBNP

Sub-basal nerve plexus

SD-OCT

Spectral domain optical coherence tomography

SNT

Superficial nerve terminals

WT

Wild type

Authors’ contributions

H.J contributed to the experimental design and conduct, data acquisition and analysis, and manuscript writing. L.E.D contributed to the experimental concept, design, and manuscript revision. X.H. assisted with the flow cytometry panel design. M.W contributed to the data analysis. S.O. and R.J.K assisted with experimental conduct and manuscript revision. L.H.J. contributed to the experimental concept, design, and manuscript revision. H.R.C contributed to the experimental design, data analysis, and manuscript revision. All authors read and approved the final manuscript.

Funding

University of Melbourne Medicine, Dentistry and Health Sciences Seed Funding (H.R.C, L.H.J and L.E.D), University of Melbourne Early Career Researcher Grant (H.J), and NH&MRC Project Grant APP1126540 (H.R.C)

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request

Ethics approval and consent to participate

All animal procedures were approved by the Animal Ethics Committee at the Florey Institute of Neuroscience and Mental Health and complied with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12974-020-01803-7.