Next Article in Journal
The Energy Status of Astrocytes Is the Achilles’ Heel of eIF2B-Leukodystrophy
Previous Article in Journal
Dysregulation of miRNAs Targeting the IGF-1R Pathway in Pancreatic Ductal Adenocarcinoma
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Age-Dependent Distinct Distributions of Dendritic Cells in Autoimmune Dry Eye Murine Model

1
Department of Ophthalmology, College of Medicine, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea
2
Department of Ophthalmology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
3
Laboratory of Ocular Regenerative Medicine and Immunology, Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
4
Transplantation Research Institute, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea
*
Author to whom correspondence should be addressed.
Equally contributed as 1st author.
Cells 2021, 10(8), 1857; https://doi.org/10.3390/cells10081857
Submission received: 1 June 2021 / Revised: 14 July 2021 / Accepted: 20 July 2021 / Published: 22 July 2021
(This article belongs to the Section Cellular Immunology)

Abstract

:
We investigated whether aging-dependent changes in dendritic cell (DC) distributions are distinct in autoimmune dry eye compared with an aging-related murine model. Corneal staining and tear secretion were evaluated in young and aged C57BL/6 (B6) and NOD.B10.H2b mice (NOD). In the corneolimbus, lacrimal gland (LG), and mesenteric lymph node (MLN), CD11b and CD11b+ DCs, CD103+ DCs and MHC-IIhi B cells were compared between young and aged B6 and NOD mice. With increased corneal staining, tear secretion decreased in both aged B6 and NOD mice (p < 0.001). In both aged B6 and NOD mice, the percentages of corneolimbal CD11b+ DCs were higher (p < 0.05) than those in young mice. While, the percentages of lymph nodal CD103+ DCs were higher in aged B6 and NOD mice (p < 0.05), the percentages of corneolimbal CD103+ DCs were only higher in aged NOD mice (p < 0.05). In aged NOD mice, the proportions of lacrimal glandial and lymph nodal MHC-IIhi B cells were also higher than those in young mice (p < 0.05). It indicates that corneolimbal or lacrimal glandial distribution of CD103+ DCs or MHC-IIhi B cells may be distinct in aged autoimmune dry eye models compared to those in aged immune competent murine models.

1. Introduction

Since Ralph Steinman and Zanvil Cohn discovered the dendritic cell (DC) [1], DCs have been studied as key mediators of innate and adaptive immunity [2,3]. DCs can also activate regulatory T cells (Treg) and tolerize T cells to self-antigens [4,5]. Thus, DCs are being studied for their potential therapeutic benefits against autoimmune diseases [6]. Specific DC subset functions change during aging or in a tissue-specific manner, and a breakdown in the balance between functions may lead to autoimmune diseases [7]. Therefore, changes in corneal or lacrimal glandial DCs during aging should be studied in dry eye models.
DCs are found both in lymphoid and in non-lymphoid organs such as the skin, muscle, lung, kidney, intestine, liver, and eye [1,2,8]. Several studies have identified heterogeneous populations of corneal DCs [8,9,10,11,12], which play immunogenic roles in dry eye syndrome, corneal allotransplant, and autoimmune diseases [12,13,14,15,16,17], or exhibit tolerogenic properties [18]. An imbalance in immunity contributes to the pathogenesis of dry eye diseases (DED) [19,20]. Given its worldwide prevalence, especially in elderly individuals [21,22], DED is a clinically relevant issue in today’s society. Recently, the kinetics and functions of DCs have been investigated in ocular surface inflammation with DED [23,24].
The characteristics of DCs in the ocular surface or lacrimal glands (LGs) have been investigated intensively in experimental dry eye models [14,23,25]. However, a study on the DC distributions in the cornea or LG associated with an autoimmune dry eye models is currently under-investigated. Although existing studies provide some evidence for the role of intestinal dysbiosis in autoimmune dry eyes [26,27,28], there are no pertinent studies on DED directly linking changes in DCs with the ocular–gut axis. Therefore, we investigated whether the distribution of DC subsets is distinct in aged NOD.B10.H2b (NOD) mice that mimic Sjögren’s syndrome-like changes when compared to the distribution in aged C57BL/6 (B6) mice [26]. The study also aimed to uncover whether the difference in distribution is also accompanied by changes in DC subsets of mesenteric lymph nodes (MLNs) as a method to link the variation in DCs to the ocular–gut axis.

2. Materials and Methods

2.1. Animals

Eight C57BL/6 (B6) male mice and eight NOD.B10.H2b male mice (The Jackson Laboratory, Bar Harbor, ME) were used in this study. Eight-week- (n = 4) and 20-month-old (n = 4) B6 mice were included as the young and aged B6 group, while five-week- (n = 4) and 24-week-old (n = 4) NOD.B10.H2b mice were included as the young and aged NOD group. The mice were bred in a specific pathogen-free facility at the Biomedical Research Institute of Seoul National University Hospital (Seoul, Korea), maintained at 22–24 °C with 55 ± 5% relative humidity, and provided free access to food and water.

2.2. Clinical Evaluation of the Dry Eye

Corneal staining and tear secretion tests were performed under anesthesia (using a mixture of zoletil and xylazine at a ratio of 1:3). Corneal staining was blindly assigned by a single experienced ophthalmologist (Y. J.) using the National Eye Institute (NEI) scoring scheme. Fluorescein dye (0.25%) and Lissamine Green B (3%) (Sigma-Aldrich, St. Louis, MO, USA) were used for corneal staining in B6 and NOD.B10.H2b mice, respectively. The different dyes were selected for visualizing dry eyes in the two types of mice both having different levels of iris pigments, as reported in previous studies [29,30,31,32].
After placing one drop of dye on the conjunctival sac for 30 seconds, the ocular surface was gently washed with 1 mL of normal saline. Corneal staining was observed using a microscope (Olympus SZ61; Olympus Corporation, Tokyo, Japan). The B6 and NOD.B10.H2b mice were observed using cobalt blue and white light (LED) illumination, respectively [26,33]. For the tear secretion test, phenol red-impregnated cotton threads (FCI Ophthalmics, Pembroke, MA, USA) were placed into the lateral canthus of mice for 60 s. The average values of corneal staining scores and tear secretion results from both eyes of each mouse were used for the statistical analyses based on a protocol described in a previous study [34]. Tear volume was adjusted by body weight for the analysis based on protocols used in previous studies because LG increased with aging and a positive correlation between body weight and LG size has been reported [32,35,36,37].

2.3. Flow Cytometry for Analyzing Immune Cells

After the mice were euthanized, the cornea and limbal tissue (Co), extraorbital LG, and mesenteric lymph node (MLN) were extracted and collected. Bilateral corneolimbal tissues were pooled in each mouse because the number of immune cells in unilateral corneolimbal tissue is not sufficient to conduct flow cytometric analysis [32]. Whereas, a lacrimal gland was used in each mouse without pooling. To obtain a single-cell suspension, the tissues were treated with 1 mg/mL collagenase type I (Worthington, Lakewood, NJ, USA) for 30 min at 37 °C and homogenized through a 70-μm filter (BD BioSciences, San Diego, CA, USA).
A single cell suspension was prepared by mincing the tissue between the frosted ends of two glass slides in RPMI-1640 medium (WelGENE, Daegu, Korea), 10% fetal bovine serum (FBS), and 1% penicillin-streptomycin. To sort dendritic cells (DCs), antigen-presenting MHC-IIhi B cells, macrophages, and granulocytes, including neutrophils and eosinophils, the cell populations were identified using the sequential gating strategy (Figure 1). To exclude non-immune cells in Co and LG, the cells were gated with CD45 and the percentage of APC subsets was calculated in the CD45+ parent population. The following antibodies were used for a subset: CD11b-PE-Cy7 (Cat no. 25-0112, 0.125 μg/test; eBioscience, San Diego, CA, USA), CD11c-PerCP-Cy5.5 (Cat no. 45-0114, 0.25 μg/test; eBioscience), MHC-II-FITC (Cat no. 11-5321, 0.125 μg/test; eBioscience), CD24-PE (Cat no. 12-0242, 0.03 μg/test; eBioscience), and CD45-APC (Cat no. 17-0451, 0.125 μg/test; eBioscience). To identify CD103+ dendritic cells (cDC), CD103-PE (Cat no. 12-1031, 1 μg/test; eBio-science) was applied to cells stained with CD11b-PE-Cy7, CD11c-PerCP-Cy5.5, MHC-II-FITC, and CD45-APC in the other subset. The stained cells were assayed using a FACSCanto flow cytometer (BD BioSciences, San Jose, CA, USA). Data were analyzed using FlowJo software (version 10.7.1) (Tree Star, Ashland, OR, USA).
After forward-scatter and side-scatter gating, CD45+ cells were gated (Figure 1). The cells were then further divided by CD11b and CD11c expression. Thereafter, each proportion was sorted by the expression of CD24 and MHC-II or by the expression of CD103 and MHC-II (Figure 1). Antigens presenting MHC-IIhi B cells were identified with CD45+CD11bCD11cCD24+MHC-IIhi (Figure 1A) [38]. Antigen-presenting MHC-IIhi macrophages (MHC-IIhi macrophage) or non-antigen-presenting macrophages were identified as CD45+CD11b+CD11cCD24MHC-IIhi or CD45+CD11b+CD11cCD24MHC-IIlo (Figure 1B,C) [39]. Within CD11b+ cells, neutrophils/eosinophils were isolated with CD45+CD11b+CD11cCD24+MHC-IIlo (Figure 1D) [39]. Based on the expression of CD45, CD11c, CD24, and MHC-II as dendritic cells (DCs), DCs were further divided into CD11b DCs and CD11b+ DCs (Figure 1E,F) [39]. CD103+CD11b DCs and CD103+CD11b+ DCs were gated based on CD45+CD11bCD11c+CD103+MHC-IIhi and CD45+CD11b+CD11c+CD103+MHC-IIhi (Figure 1G,H) [40].

2.4. Statistical Analyses

For comparing the two groups, independent t-test was used. Statistical analyses were performed using GraphPad Prism software (version 9.0; GraphPad Software, La Jolla, CA, USA). Differences were considered statistically significant at p < 0.05. Data was expressed as mean ± SD for all experimental measurements.

3. Results

3.1. Dry Eye Is Manifest in Aged B6 and NOD.B10.H2b Mice

In immunocompetent B6 mice, the average corneal stain scores of aged mice were significantly higher (13.63 ± 1.60) than those of young mice (4.75 ± 4.84) (p = 0.013; Figure 2A). Tear secretion was not significantly different between the groups (10.85 ± 2.78 mm in young and 7.45 ± 4.01 mm in aged mice) (p = 0.212). However, when body weight (BW) was adjusted, the corrected value was significantly lower in aged mice (0.17 ± 0.09/BW) than in young mice (0.48 ± 0.13/BW) (p = 0.008; Figure 2B).
In autoimmune-susceptible NOD.B10.H2b mice, the corneal stain scores of aged mice were significantly higher (10.50 ± 2.04) than those of young mice (2.88 ± 2.25) (p = 0.002; Figure 2C). A marked reduction in tear secretion was observed in aged mice. The tear secretion in young and aged mice was 4.86 ± 0.37 mm and 3.44 ± 0.30 mm, respectively (p = −0.001). BW adjusted tear secretion was also significantly lower in the aged group (0.11 ± 0.01/BW) than in the young group (0.19 ± 0.02/BW) (p < 0.001; Figure 2D).

3.2. Changes of Distribution CD11b+DC Are Distinct in Aged Mice

The percentages of the CD45+ cell in corneolimbus, LG, and MLN showed no differences between the young and aged mice. As shown in Figure 3, the percentage of corneolimbal CD11b+ DCs (2.53 ± 0.29%) was significantly higher in aged B6 mice than in young B6 mice (1.43 ± 0.38%) (p = 0.004). The proportions of MLN CD11b+ DCs was also higher in aged B6 mice (4.27 ± 1.07%) than in young B6 mice (2.82 ± 0.09%) (p = 0.035; Figure 3A), which corresponded with the changes of the corneolimbal CD11b+ DCs. Unlike the corneolimbal and nodal DC distributions, lacrimal glandial CD11b+ DCs (18.26 ± 4.14%) in aged mice was not increased compared to those in young mice (25.28 ± 3.65%; (Figure 3A). Similar to aged B6 mice, the percentage of corneolimbal CD11b+ DCs in aged NOD.B10.H2b mice was also higher (6.96 ± 1.85%) than in young mice (0.54 ± 0.48%) (p < 0.001; Figure 3B).

3.3. Changes of Distribution CD103+CD11bDC Subsets in Aged Mice

There was no significant proportions difference of the CD45+ cells in corneolimbal, LG and MLN between the young and aged mice. No significant changes were revealed in B6 mice (Figure 4A). However, notably, the percentages of MLN CD103+CD11b DCs (1.29 ± 0.17%) was significantly higher in aged NOD.B10.H2b mice than in young mice (0.74 ± 0.18%, p = 0.004; Figure 4B). Correspondingly, the percentage of corneolimbal CD103+CD11b DCs was markedly higher in aged mice (8.13 ± 1.63%) than in young mice (0.25 ± 0.29%) (p < 0.001; Figure 4B).

3.4. Changes of Distribution CD103+CD11b+DC Subsets in Aged Mice

Although the percentages of MLN CD103+CD11b+ DCs were increased in the aged B6 mice (0.89 ± 0.03% vs. 1.74 ± 0.29%, p < 0.05; Figure 5A), no differences were observed in corneolimbal or lacrimal glandial CD103+ DC subsets (Figure 5A). Correspondingly, the percentages of MLN CD103+CD11b+ DCs (0.32 ± 0.07%) was significantly higher in aged NOD.B10.H2b mice than in young mice (0.11 ± 0.05% p = 0.002; Figure 5B).

3.5. Distributions of MHC-IIhi B Cells in Aged Mice

In NOD.B10.H2b mice, the percentages of lacrimal glandial MHC-IIhi B cells were significantly higher in aged NOD.B10.H2b mice (11.70 ± 0.36%) compared to young NOD.B10.H2b mice (7.84 ± 2.52%) (p = 0.023; Figure 6B), which was accompanied by the increased proportion of MLN MHC-IIhi B cells in the aged NOD.B10.H2b mice (1.96 ± 0.42% vs. 1.30 ± 0.26% in young mice, p = 0.038; Figure 6B). Unlike NOD.B10.H2b mice, there was no differences in proportion of MHC-IIhi B cells in aged B6 mice (Figure 6A).

3.6. Distributions of Other Antigen Presenting Cell (APC) Subsets in Aged Mice

The proportional changes of corneolimbal MHC-IIhi macrophage or neutrophils/eosinophils were not observed in two dry eye mouse models (Figure 7 and Figure 8). The percentage of MHC-IIhi macrophage revealed considerable decrease in old B6 mice (1.12 ± 0.13%) than young B6 mice (2.03 ± 0.21%) at LG (p < 0.05, Figure 7A). The percentages of lacrimal glandial MHC-IIhi macrophage were also decreased in the aged NOD.B10.H2b mice (MHC-IIhi macrophage; 3.41 ± 0.64 vs. 1.50 ± 0.03, p < 0.05, Figure 7B), although the proportion of nodal MHC-IIhi macrophage was increased in aged NOD.B10.H2b mice (MHC-IIhi macrophage; 0.00 ± 0.00 vs. 0.002 ± 0.00, p < 0.05, Figure 7B).
The percentage of MLN neutrophils/eosinophils was significantly higher in aged B6 mice (1.04 ± 0.15) than young B6 mice (0.62 ± 0.03%, p < 0.05, Figure 8A).
In aged NOD.B10.H2b mice, the percentages of lacrimal glandial neutrophils/eosinophils were decreased (neutrophil/eosinophil; 0.36 ± 0.05 vs. 0.19 ± 0.03, p < 0.05, Figure 8B), although the proportion of nodal neutrophils/eosinophils were increased in aged mice (neutrophil/eosinophil; 0.008 ± 0.00 vs. 0.038 ± 0.01, p < 0.05, Figure 7 and Figure 8B).
Even though they were statistically significant, fractions were too low and it is considered unlikely as biologically relevant.

4. Discussions

To the best of our knowledge, this is the first descriptive study on how distinct dendritic cell subsets are in immune susceptible aged mice when compared with those in immune competent aged mice. This study indicates that CD103+CD11b DCs and MHC-IIhi B cells may be the prevailing APCs in the ocular surface–LG axis of aged immune susceptible mice, whereas changes in CD103+ DCs are not recognizable in aged immune competent mice. Secondly, increased corneolimbal CD11b+ DC subsets are found in both aged B6 and NOD mice. It suggests that CD11b+ DC subsets may be one of the culprit cells for age-dependent ocular surface inflammation regardless of immune susceptible or competent status.
We focused on the changes in three subsets of DCs, namely, CD11b+ DCs, CD11b DCs, and CD103+ DCs [8,41]. CD103+ DCs act in self or foreign antigen recognition or in the induction of gut-related molecules on effector T cells [41]. IFN-α-producing plasmacytoid DCs are pathogenic cells that enhance pro-inflammatory cytokine production in Sjögren’s syndrome [42,43]. CD11c+CD86+ and CD11b+CD11c cells are involved in experimental dry eye models [14,23]. B cells detect and initiate their immune responses to antigens and present antigens to T cells [44,45,46]. Given that B cells are crucial for the pathogenesis of Sjögren’s syndrome [47], some DC subsets or antigen-presenting B cells may be responsible for aggravating the inflammatory responses in either aged immune competent B6 or autoimmune Sjögren’s syndrome-like mice.
Heterogeneous groups of APCs exist in the cornea and [17,48] have been investigated for their role in different inflammatory corneal diseases [49,50,51,52]. In this study, CD11b+ DCs were found to increase on the ocular surface in both aged B6 and NOD mice. Among the APCs, cDCs that express high levels of CD11c and MHC-II and low levels of F4/80 exhibited a superior capacity to present antigens to T cells [53]. cDC can be further sub-classified into type 1 cDC (cDC1) and type 2 cDC (cDC2) [53]. The former induces cytotoxic CD8+ T cell and T helper1 (Th1) responses, while the latter initiates Th2, Th17, and T regulatory (Treg) responses [53]. cDC1 can be identified as CD4CD8α+CD11bCD11c+ and cDC2 can be identified as CD4+CD8αCD11b+CD11c+. In the eye, CD11b+ DC is known to have a crucial role in dry eye or post-keratoplasty rejection [10,14,54,55,56].
Corresponding with previous studies [10,14,54,55,56], this study supports that CD11b+DC may be an important subset in age-related ocular surface inflammation, by showing concomitant increase of corneolimbal CD11b+ DCs in aged mice, regardless of immune competency.
In gut nonlymphoid tissues, cDC1s are classified as CD103+CD11bCD11c+MHC-IIhi, whereas cDC2s comprise both CD103+CD11b+CD11c+MHC-IIhi and CD103CD11b+CD11c+MHC-IIhi [53]. Surprisingly, CD103+CD11b DCs are remarkably increased in both the corneolimbus and MLN in aged NOD mice, suggesting an increase in the number of presumed CD103+ cDC1s. CD45+CD11bCD11c+CD24+MHC-IIhi cells or CD45+CD11b+CD11c+CD24+MHC-IIhi cells are considered as cDC1 (CD11b+ DC) or cDC2 (CD11b DC). However, further detailed identification is needed using additional markers, such as CD8α and CD4. Nevertheless, this outcome provides an insight into how the distribution of CD11b+ DCs or CD103+ DCs changes in the corneolimbus and LG depending on age in either immune competent or immune susceptible murine models. In the present study, the mechanisms underlying the changes in the matured status of each type of APC were not evaluated. Given that the different distributions and maturity of APCs may have an effect on triggering immune responses, the different status of matured DCs should be investigated further using additional markers, namely, CD86 or CD80.
There is a distinct difference between the aging-related and autoimmune-related pathogenesis of dry eyes. Recent evidence indicates that B cells, Th1, Th2, and Th17 cells play major roles in the pathogenesis of Sjögren’s syndrome [14,47,57,58]. NOD.B10-H2b mice exhibit many features of Sjögren’s syndrome, including exocrine gland dysfunction concomitant with leukocyte infiltration of the salivary gland and LGs [57]. Recent studies have shown that both Sjögren’s syndrome patients and NOD.B10-H2b mice exhibit increased B lymphocyte survival, B cell hyper-reactivity, and hyper-gammaglobulinemia with a high production of autoantibodies [57]. In our study, antigen-presenting MHC-IIhi B cells tended to increase in both LG and MLN with aging in NOD.B10-H2b mice, suggesting that B cells may be an important factor, not only as an effector cell to produce antibodies, but also as an APC in autoimmune dry eye. On the other hand, no changes in MHC-IIhi B cells were observed in aged B6 mice, indicating that antigen-presenting B cells may not to be involved in the pathogenesis of immune competent dry eye. This change in the lacrimal glandial DCs is distinct from the change in corneolimbal DCs, suggesting that heterogeneous aging-dependent distributions of DC or other APCs vary depending on the tissues. Given that gut dysbiosis has a significant impact on the maturation and differentiation of B cells [59], an increase in mesenteric nodal MHC-IIhi B cells may be gut-related. Considering that recent studies have shown that intestinal dysbiosis is related to autoimmune dry eyes [26,27,28], the increase in lacrimal glandial MHC-IIhi B cells observed in the present study may correspond to changes in the gut. In primary Sjögren’s syndrome, CD27+ memory B cells, marginal zone B cells, plasmablasts, and plasma cells are the key subsets of B cells [47]. To acknowledge the functional changes of effector B cells, further investigation should be performed using CD19, CD20, and CD38, or measured using antibodies [60]. Th1 and Th17 cells and related cytokines are known to be involved in age-related dry eyes [22,32,61]. The role of B cells in age-related dry eyes has been disputed [22,61]. This study suggests that T cells are related to dry eye pathogenesis in both aged and autoimmune mice by showing an increase in CD11b+ DC subsets in both mice. However, the increase in MHC-IIhi B cells is only shown in immunosusceptible NOD mice, supporting results observed in previous studies [47,57].
This study has several limitations. First, only male mice were used because female NOD.B10.H2b mice tend to develop only sialadenitis instead of dacryoadenitis [62]. Only B6 male mice were included to match the sex with NOD.B10.H2b mice. However, the female sex is one of the highest risk factors for dry eye syndrome, due to the effects of hormones in this disorder [63]. Therefore, it is not possible to apply female-associated dry eye. Second, the sample size was low since only a few animals were used. NOD.B10.H2b mice have low reproductive rates and only male NOD.B10.H2b mice can be used since dacryoadenitis occurs only in males. Additionally, aged B6 mice have low rates of survival, hence the low sample size can be justified with these limitations. Several previous studies also included a small sample size owing to the rarity of experimental animals [26,64,65]. We analyzed the data from as many mice as possible for analysis. However, at the time of the experiment, only four male 20-month-old B6 mice and four male 24-week-old NOD.B10.H2b mice were available. Third, a flow cytometry machine capable of sorting up to five channels was used. Therefore, the use of additional specific markers to differentiate between neutrophil and eosinophil, cDC1 and cDC2, or mature DC and immature DCs was not possible [66]. However, a comprehensive study of the DC subtypes in the corneolimbus, LG, and MLNs of an aging-dependent murine dry eye model is lacking. Therefore, this work sheds light on the distinct age-dependent distributions of APCs in different tissues, such as in the corneolimbus or LG, in aging-related dry eye disease.

5. Conclusions

This study demonstrates that there is a distinct heterogeneous distribution of corneolimbal or lacrimal glandial DCs between immune competent and immune susceptible murine models. In aged Sjögren’s syndrome-like mice, an increase in corneolimbal CD103+ DCs and lacrimal glandial MHC-IIhi B cells is distinctively observed which is accompanied by an increase in nodal CD103+ DCs and MHC-IIhi B cells, whereas increase of corneolimbal CD11b+ DCs is concomitantly found in the aged murine model, irrespective of immune competency.

Author Contributions

Conceptualization, M.-K.K.; methodology, M.-K.K., C.-H.Y., J.-S.R. and Y.-H.J.; software, M.-K.K., C.-H.Y., J.-S.R. and Y.-H.J.; validation, M.-K.K., C.-H.Y., J.-S.R. and Y.-H.J.; formal analysis, M.-K.K., C.-H.Y., J.-S.R. and Y.-H.J.; investigation, M.-K.K., C.-H.Y., J.-S.R. and Y.-H.J.; resources, M.-K.K. and C.-H.Y.; data curation, J.-S.R. and Y.-H.J.; writing—original draft preparation, Y.-H.J.; writing—review and editing, M.-K.K., C.-H.Y. and J.-S.R.; visualization, Y.-H.J.; supervision, M.-K.K. and C.-H.Y.; project administration, M.-K.K.; funding acquisition, M.-K.K. and C.-H.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Seoul National University Hospital Research Fund (grant number: 03-2019-0050) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1F1A1072506).

Institutional Review Board Statement

The protocol was approved by the Institutional Animal Care and Use Committee of the Seoul National University Biomedical Research Institute (IACUC no. 20-0124-S1A1). Animal experiments were performed in accordance with the Association for Research in Vision and Ophthalmology (ARVO) statement for use of animals in ophthalmic vision and research and Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this published article.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Steinman, R.M.; Cohn, Z.A. Identification of a novel cell type in peripheral lymphoid organs of mice. I. Morphology, quantitation, tissue distribution. J. Exp. Med 1973, 137, 1142–1162. [Google Scholar] [CrossRef]
  2. Banchereau, J.; Steinman, R.M. Dendritic cells and the control of immunity. Nature 1998, 392, 245–252. [Google Scholar] [CrossRef] [PubMed]
  3. Steinman, R.M. Lasker Basic Medical Research Award. Dendritic cells: Versatile controllers of the immune system. Nat. Med. 2007, 13, 1155–1159. [Google Scholar] [CrossRef]
  4. Sojka, D.K.; Huang, Y.H.; Fowell, D.J. Mechanisms of regulatory T-cell suppression—A diverse arsenal for a moving target. Immunology 2008, 124, 13–22. [Google Scholar] [CrossRef]
  5. Hasegawa, H.; Matsumoto, T. Mechanisms of Tolerance Induction by Dendritic Cells In Vivo. Front. Immunol. 2018, 9, 350. [Google Scholar] [CrossRef] [PubMed]
  6. Cifuentes-Rius, A.; Desai, A.; Yuen, D.; Johnston, A.P.R.; Voelcker, N.H. Inducing immune tolerance with dendritic cell-targeting nanomedicines. Nat. Nanotechnol. 2020. [Google Scholar] [CrossRef]
  7. Agrawal, A.; Gupta, S. Impact of aging on dendritic cell functions in humans. Ageing Res. Rev. 2011, 10, 336–345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Forrester, J.V.; Xu, H.; Kuffová, L.; Dick, A.D.; McMenamin, P.G. Dendritic cell physiology and function in the eye. Immunol. Rev. 2010, 234, 282–304. [Google Scholar] [CrossRef] [PubMed]
  9. Chinnery, H.R.; Humphries, T.; Clare, A.; Dixon, A.E.; Howes, K.; Moran, C.B.; Scott, D.; Zakrzewski, M.; Pearlman, E.; McMenamin, P.G. Turnover of bone marrow-derived cells in the irradiated mouse cornea. Immunology 2008, 125, 541–548. [Google Scholar] [CrossRef]
  10. Hamrah, P.; Liu, Y.; Zhang, Q.; Dana, M.R. Alterations in corneal stromal dendritic cell phenotype and distribution in inflammation. Arch. Ophthalmol. 2003, 121, 1132–1140. [Google Scholar] [CrossRef] [Green Version]
  11. Liu, Y.; Hamrah, P.; Zhang, Q.; Taylor, A.W.; Dana, M.R. Draining lymph nodes of corneal transplant hosts exhibit evidence for donor major histocompatibility complex (MHC) class II-positive dendritic cells derived from MHC class II-negative grafts. J. Exp. Med. 2002, 195, 259–268. [Google Scholar] [CrossRef] [PubMed]
  12. Hamrah, P.; Liu, Y.; Zhang, Q.; Dana, M.R. The corneal stroma is endowed with a significant number of resident dendritic cells. Investig. Ophthalmol. Vis. Sci. 2003, 44, 581–589. [Google Scholar] [CrossRef] [PubMed]
  13. Schonberg, A.; Hamdorf, M.; Bock, F. Immunomodulatory Strategies Targeting Dendritic Cells to Improve Corneal Graft Survival. J. Clin. Med. 2020, 9, 280. [Google Scholar] [CrossRef]
  14. Maruoka, S.; Inaba, M.; Ogata, N. Activation of Dendritic Cells in Dry Eye Mouse Model. Investig. Ophthalmol. Vis. Sci. 2018, 59, 3269–3277. [Google Scholar] [CrossRef] [Green Version]
  15. Vogelsang, P.; Jonsson, M.V.; Dalvin, S.T.; Appel, S. Role of dendritic cells in Sjögren’s syndrome. Scand. J. Immunol. 2006, 64, 219–226. [Google Scholar] [CrossRef] [PubMed]
  16. Hamrah, P.; Zhang, Q.; Liu, Y.; Dana, M.R. Novel characterization of MHC class II-negative population of resident corneal Langerhans cell-type dendritic cells. Investig. Ophthalmol. Vis. Sci. 2002, 43, 639–646. [Google Scholar]
  17. Dana, M.R. Corneal antigen-presenting cells: Diversity, plasticity, and disguise: The Cogan lecture. Investig. Ophthalmol. Vis. Sci. 2004, 45, 722–727. [Google Scholar] [CrossRef] [Green Version]
  18. Egan, R.M.; Yorkey, C.; Black, R.; Loh, W.K.; Stevens, J.L.; Storozynsky, E.; Lord, E.M.; Frelinger, J.G.; Woodward, J.G. In vivo behavior of peptide-specific T cells during mucosal tolerance induction: Antigen introduced through the mucosa of the conjunctiva elicits prolonged antigen-specific T cell priming followed by anergy. J. Immunol. 2000, 164, 4543–4550. [Google Scholar] [CrossRef] [Green Version]
  19. Luo, L.; Li, D.Q.; Doshi, A.; Farley, W.; Corrales, R.M.; Pflugfelder, S.C. Experimental dry eye stimulates production of inflammatory cytokines and MMP-9 and activates MAPK signaling pathways on the ocular surface. Investig. Ophthalmol. Vis. Sci. 2004, 45, 4293–4301. [Google Scholar] [CrossRef]
  20. Stern, M.E.; Gao, J.; Schwalb, T.A.; Ngo, M.; Tieu, D.D.; Chan, C.C.; Reis, B.L.; Whitcup, S.M.; Thompson, D.; Smith, J.A. Conjunctival T-cell subpopulations in Sjögren’s and non-Sjögren’s patients with dry eye. Investig. Ophthalmol. Vis. Sci. 2002, 43, 2609–2614. [Google Scholar]
  21. Paulsen, A.J.; Cruickshanks, K.J.; Fischer, M.E.; Huang, G.H.; Klein, B.E.; Klein, R.; Dalton, D.S. Dry eye in the beaver dam offspring study: Prevalence, risk factors, and health-related quality of life. Am. J. Ophthalmol. 2014, 157, 799–806. [Google Scholar] [CrossRef] [Green Version]
  22. de Paiva, C.S. Effects of Aging in Dry Eye. Int. Ophthalmol. Clin. 2017, 57, 47–64. [Google Scholar] [CrossRef] [Green Version]
  23. Lee, H.S.; Amouzegar, A.; Dana, R. Kinetics of Corneal Antigen Presenting Cells in Experimental Dry Eye Disease. BMJ Open Ophthalmol. 2017, 1, e000078. [Google Scholar] [CrossRef] [Green Version]
  24. Perez, V.L.; Stern, M.E.; Pflugfelder, S.C. Inflammatory basis for dry eye disease flares. Exp. Eye Res. 2020, 108294. [Google Scholar] [CrossRef] [PubMed]
  25. Ortiz, G.; Chao, C.; Jamali, A.; Seyed-Razavi, Y.; Kenyon, B.; Harris, D.L.; Zoukhri, D.; Hamrah, P. Effect of Dry Eye Disease on the Kinetics of Lacrimal Gland Dendritic Cells as Visualized by Intravital Multi-Photon Microscopy. Front. Immunol. 2020, 11, 1713. [Google Scholar] [CrossRef] [PubMed]
  26. Choi, S.H.; Oh, J.W.; Ryu, J.S.; Kim, H.M.; Im, S.H.; Kim, K.P.; Kim, M.K. IRT5 Probiotics Changes Immune Modulatory Protein Expression in the Extraorbital Lacrimal Glands of an Autoimmune Dry Eye Mouse Model. Investig. Ophthalmol. Vis. Sci. 2020, 61, 42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Moon, J.; Yoon, C.H.; Choi, S.H.; Kim, M.K. Can Gut Microbiota Affect Dry Eye Syndrome? Int. J. Mol. Sci. 2020, 21, 8443. [Google Scholar] [CrossRef] [PubMed]
  28. Moon, J.; Choi, S.H.; Yoon, C.H.; Kim, M.K. Gut dysbiosis is prevailing in Sjögren’s syndrome and is related to dry eye severity. PLoS ONE 2020, 15, e0229029. [Google Scholar] [CrossRef] [PubMed]
  29. Messner, A.; Fischak, C.; Pfister, M.; Schutzenberger, K.; Garreis, F.; Paulsen, F.; Stegmann, H.; Aranha Dos Santos, V.; Garhofer, G.; Schmetterer, L.; et al. Characterization of dry eye disease in a mouse model by optical coherence tomography and fluorescein staining. Biomed. Opt. Express 2019, 10, 4884–4895. [Google Scholar] [CrossRef] [PubMed]
  30. Burade, V.; Zalawadia, R.; Patel, A.; Ogundele, A. Preclinical Efficacy Comparison of Cyclosporine Ophthalmic Solution 0.09% vs Cyclosporine Ophthalmic Emulsion 0.05% vs Ciclosporin Ophthalmic Emulsion 0.1% in a NOD Mouse Model of Dry Eye Disease. Clin. Ophthalmol. 2020, 14, 2747–2755. [Google Scholar] [CrossRef] [PubMed]
  31. Lee, M.J.; Kim, D.H.; Ryu, J.S.; Ko, A.Y.; Ko, J.H.; Kim, M.K.; Wee, W.R.; Khwarg, S.I.; Oh, J.Y. Topical TSG-6 Administration Protects the Ocular Surface in Two Mouse Models of Inflammation-Related Dry Eye. Investig. Ophthalmol. Vis. Sci. 2015, 56, 5175–5181. [Google Scholar] [CrossRef]
  32. Yoon, C.H.; Ryu, J.S.; Hwang, H.S.; Kim, M.K. Comparative Analysis of Age-Related Changes in Lacrimal Glands and Meibomian Glands of a C57BL/6 Male Mouse Model. Int. J. Mol. Sci. 2020, 21, 4169. [Google Scholar] [CrossRef]
  33. Moon, J.; Ryu, J.S.; Kim, J.Y.; Im, S.H.; Kim, M.K. Effect of IRT5 probiotics on dry eye in the experimental dry eye mouse model. PLoS ONE 2020, 15, e0243176. [Google Scholar] [CrossRef] [PubMed]
  34. Yoon, C.H.; Ryu, J.S.; Moon, J.; Kim, M.K. Association between aging-dependent gut microbiome dysbiosis and dry eye severity in C57BL/6 male mouse model: A pilot study. BMC Microbiol. 2021, 21, 106. [Google Scholar] [CrossRef]
  35. Kojima, T.; Wakamatsu, T.H.; Dogru, M.; Ogawa, Y.; Igarashi, A.; Ibrahim, O.M.; Inaba, T.; Shimizu, T.; Noda, S.; Obata, H.; et al. Age-related dysfunction of the lacrimal gland and oxidative stress: Evidence from the Cu,Zn-superoxide dismutase-1 (Sod1) knockout mice. Am. J. Pathol. 2012, 180, 1879–1896. [Google Scholar] [CrossRef] [PubMed]
  36. Zwingenberger, A.L.; Park, S.A.; Murphy, C.J. Computed tomographic imaging characteristics of the normal canine lacrimal glands. BMC Vet. Res. 2014, 10, 116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. de Souza, R.G.; de Paiva, C.S.; Alves, M.R. Age-related Autoimmune Changes in Lacrimal Glands. Immune. Netw. 2019, 19, e3. [Google Scholar] [CrossRef] [PubMed]
  38. Yuan, Y.; Zhou, J.; Zheng, Y.; Xu, Z.; Li, Y.; Zhou, S.; Zhang, C. Beneficial effects of polysaccharide-rich extracts from Apocynum venetum leaves on hypoglycemic and gut microbiota in type 2 diabetic mice. Biomed. Pharm. 2020, 127, 110182. [Google Scholar] [CrossRef]
  39. Misharin, A.V.; Morales-Nebreda, L.; Mutlu, G.M.; Budinger, G.R.; Perlman, H. Flow cytometric analysis of macrophages and dendritic cell subsets in the mouse lung. Am. J. Respir. Cell Mol. Biol. 2013, 49, 503–510. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Merad, M.; Sathe, P.; Helft, J.; Miller, J.; Mortha, A. The dendritic cell lineage: Ontogeny and function of dendritic cells and their subsets in the steady state and the inflamed setting. Annu. Rev. Immunol. 2013, 31, 563–604. [Google Scholar] [CrossRef] [Green Version]
  41. del Rio, M.L.; Bernhardt, G.; Rodriguez-Barbosa, J.I.; Forster, R. Development and functional specialization of CD103+ dendritic cells. Immunol. Rev. 2010, 234, 268–281. [Google Scholar] [CrossRef]
  42. Hillen, M.R.; Pandit, A.; Blokland, S.L.M.; Hartgring, S.A.Y.; Bekker, C.P.J.; van der Heijden, E.H.M.; Servaas, N.H.; Rossato, M.; Kruize, A.A.; van Roon, J.A.G.; et al. Plasmacytoid DCs from Patients With Sjögren’s Syndrome Are Transcriptionally Primed for Enhanced Pro-inflammatory Cytokine Production. Front. Immunol. 2019, 10, 2096. [Google Scholar] [CrossRef] [Green Version]
  43. Gottenberg, J.E.; Cagnard, N.; Lucchesi, C.; Letourneur, F.; Mistou, S.; Lazure, T.; Jacques, S.; Ba, N.; Ittah, M.; Lepajolec, C.; et al. Activation of IFN pathways and plasmacytoid dendritic cell recruitment in target organs of primary Sjögren’s syndrome. Proc. Natl. Acad. Sci. USA 2006, 103, 2770–2775. [Google Scholar] [CrossRef] [Green Version]
  44. Alonso-Ramirez, R.; Loisel, S.; Buors, C.; Pers, J.O.; Montero, E.; Youinou, P.; Renaudineau, Y. Rationale for Targeting CD6 as a Treatment for Autoimmune Diseases. Arthritis 2010, 2010, 130646. [Google Scholar] [CrossRef] [Green Version]
  45. Rock, K.L.; Benacerraf, B.; Abbas, A.K. Antigen presentation by hapten-specific B lymphocytes. I. Role of surface immunoglobulin receptors. J. Exp. Med. 1984, 160, 1102–1113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Batista, F.D.; Harwood, N.E. The who, how and where of antigen presentation to B cells. Nat. Rev. Immunol. 2009, 9, 15–27. [Google Scholar] [CrossRef] [PubMed]
  47. Nocturne, G.; Mariette, X. B cells in the pathogenesis of primary Sjogren syndrome. Nat. Rev. Rheumatol. 2018, 14, 133–145. [Google Scholar] [CrossRef] [PubMed]
  48. Hamrah, P.; Dana, M.R. Corneal antigen-presenting cells. Chem. Immunol. Allergy 2007, 92, 58–70. [Google Scholar] [CrossRef]
  49. Saban, D.R. The chemokine receptor CCR7 expressed by dendritic cells: A key player in corneal and ocular surface inflammation. Ocul. Surf. 2014, 12, 87–99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Jamali, A.; Hu, K.; Sendra, V.G.; Blanco, T.; Lopez, M.J.; Ortiz, G.; Qazi, Y.; Zheng, L.; Turhan, A.; Harris, D.L.; et al. Characterization of Resident Corneal Plasmacytoid Dendritic Cells and Their Pivotal Role in Herpes Simplex Keratitis. Cell Rep. 2020, 32, 108099. [Google Scholar] [CrossRef] [PubMed]
  51. Jamali, A.; Kenyon, B.; Ortiz, G.; Abou-Slaybi, A.; Sendra, V.G.; Harris, D.L.; Hamrah, P. Plasmacytoid dendritic cells in the eye. Prog. Retin. Eye Res. 2020, 100877. [Google Scholar] [CrossRef] [PubMed]
  52. Jamali, A.; Seyed-Razavi, Y.; Chao, C.; Ortiz, G.; Kenyon, B.; Blanco, T.; Harris, D.L.; Hamrah, P. Intravital Multiphoton Microscopy of the Ocular Surface: Alterations in Conventional Dendritic Cell Morphology and Kinetics in Dry Eye Disease. Front. Immunol. 2020, 11, 742. [Google Scholar] [CrossRef]
  53. Sun, T.; Nguyen, A.; Gommerman, J.L. Dendritic Cell Subsets in Intestinal Immunity and Inflammation. J. Immunol. 2020, 204, 1075–1083. [Google Scholar] [CrossRef] [PubMed]
  54. Lee, H.S.; Hattori, T.; Park, E.Y.; Stevenson, W.; Chauhan, S.K.; Dana, R. Expression of toll-like receptor 4 contributes to corneal inflammation in experimental dry eye disease. Investig. Ophthalmol. Vis. Sci. 2012, 53, 5632–5640. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Khandelwal, P.; Blanco-Mezquita, T.; Emami, P.; Lee, H.S.; Reyes, N.J.; Mathew, R.; Huang, R.; Saban, D.R. Ocular mucosal CD11b+ and CD103+ mouse dendritic cells under normal conditions and in allergic immune responses. PLoS ONE 2013, 8, e64193. [Google Scholar] [CrossRef] [Green Version]
  56. Hua, J.; Stevenson, W.; Dohlman, T.H.; Inomata, T.; Tahvildari, M.; Calcagno, N.; Pirmadjid, N.; Sadrai, Z.; Chauhan, S.K.; Dana, R. Graft Site Microenvironment Determines Dendritic Cell Trafficking Through the CCR7-CCL19/21 Axis. Investig. Ophthalmol. Vis. Sci. 2016, 57, 1457–1467. [Google Scholar] [CrossRef] [Green Version]
  57. Nguyen, C.; Cornelius, J.; Singson, E.; Killedar, S.; Cha, S.; Peck, A.B. Role of complement and B lymphocytes in Sjogren’s syndrome-like autoimmune exocrinopathy of NOD.B10-H2b mice. Mol. Immunol. 2006, 43, 1332–1339. [Google Scholar] [CrossRef]
  58. Fasano, S.; Mauro, D.; Macaluso, F.; Xiao, F.; Zhao, Y.; Lu, L.; Guggino, G.; Ciccia, F. Pathogenesis of primary Sjogren’s syndrome beyond B lymphocytes. Clin. Exp. Rheumatol. 2020, 38 (Suppl. S126), 315–323. [Google Scholar] [PubMed]
  59. Zhao, Q.; Elson, C.O. Adaptive immune education by gut microbiota antigens. Immunology 2018, 154, 28–37. [Google Scholar] [CrossRef]
  60. Sundling, C.; Ronnberg, C.; Yman, V.; Asghar, M.; Jahnmatz, P.; Lakshmikanth, T.; Chen, Y.; Mikes, J.; Forsell, M.N.; Sonden, K.; et al. B cell profiling in malaria reveals expansion and remodelling of CD11c+ B cell subsets. JCI Insight 2019, 5. [Google Scholar] [CrossRef]
  61. McClellan, A.J.; Volpe, E.A.; Zhang, X.; Darlington, G.J.; Li, D.Q.; Pflugfelder, S.C.; de Paiva, C.S. Ocular surface disease and dacryoadenitis in aging C57BL/6 mice. Am. J. Pathol. 2014, 184, 631–643. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Doyle, M.E.; Boggs, L.; Attia, R.; Cooper, L.R.; Saban, D.R.; Nguyen, C.Q.; Peck, A.B. Autoimmune dacryoadenitis of NOD/LtJ mice and its subsequent effects on tear protein composition. Am. J. Pathol. 2007, 171, 1224–1236. [Google Scholar] [CrossRef] [Green Version]
  63. Sullivan, D.A.; Rocha, E.M.; Aragona, P.; Clayton, J.A.; Ding, J.; Golebiowski, B.; Hampel, U.; McDermott, A.M.; Schaumberg, D.A.; Srinivasan, S.; et al. TFOS DEWS II Sex, Gender, and Hormones Report. Ocul. Surf. 2017, 15, 284–333. [Google Scholar] [CrossRef] [PubMed]
  64. Paula, C.; Motta, A.; Schmitz, C.; Nunes, C.P.; Souza, A.P.; Bonorino, C. Alterations in dendritic cell function in aged mice: Potential implications for immunotherapy design. Biogerontology 2009, 10, 13–25. [Google Scholar] [CrossRef] [PubMed]
  65. Godoy, G.J.; Paira, D.A.; Olivera, C.; Breser, M.L.; Sanchez, L.R.; Motrich, R.D.; Rivero, V.E. Differences in T regulatory cells between mouse strains frequently used in immunological research: Treg cell quantities and subpopulations in NOD, B6 and BALB/c mice. Immunol. Lett. 2020, 223, 17–25. [Google Scholar] [CrossRef]
  66. Daley, J.M.; Thomay, A.A.; Connolly, M.D.; Reichner, J.S.; Albina, J.E. Use of Ly6G-specific monoclonal antibody to deplete neutrophils in mice. J. Leukoc. Biol. 2008, 83, 64–70. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Gating strategy used to identify myeloid-cell and lymphoid-cell subsets. Following the exclusion of debris and cellular aggregates, forward-scatter and side-scatter gating were performed. The pan-hematopoietic marker CD45 was selected to distinguish immune cells from other corneolimbal or lacrimal gland cells. A sequential gating strategy was used to identify populations expressing specific markers: (A) MHC-IIhi B cells, (B) MHC-IIhi macrophages, (C) MHC-IIlo macrophages, (D) neutrophils and eosinophils, (E) CD11b-DC, (F) CD11b+ DC, (G) CD103+CD11b-DC, and (H) CD103+CD11b+ DC. DC, dendritic cells.
Figure 1. Gating strategy used to identify myeloid-cell and lymphoid-cell subsets. Following the exclusion of debris and cellular aggregates, forward-scatter and side-scatter gating were performed. The pan-hematopoietic marker CD45 was selected to distinguish immune cells from other corneolimbal or lacrimal gland cells. A sequential gating strategy was used to identify populations expressing specific markers: (A) MHC-IIhi B cells, (B) MHC-IIhi macrophages, (C) MHC-IIlo macrophages, (D) neutrophils and eosinophils, (E) CD11b-DC, (F) CD11b+ DC, (G) CD103+CD11b-DC, and (H) CD103+CD11b+ DC. DC, dendritic cells.
Cells 10 01857 g001
Figure 2. (A) Representative images of corneal fluorescein staining of young C57BL/6 (B6) mice (8-week-old; upper row, n = 4) and aged B6 mice (20-month-old; lower low, n = 4). (B) The National Eye Institute (NEI) corneal staining score was significantly higher in aged B6 mice than in young B6 mice (p = 0.013). Body weight (BW) adjusted tear secretion was significantly lower in aged B6 mice than young B6 mice (p = 0.008). (C) Representative images of corneal lissamine green staining of young NOD.B10.H2b mice (5-week-old; upper row) and aged NOD.B10.H2b mice (24-week-old; lower row). (D) The NEI corneal staining score was significantly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p = 0.002). Tear secretion and BW-adjusted tear secretion were significantly lower in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p < 0.001). Clinical scores were analyzed using unpaired, two-tailed, independent t-test. Data are expressed as the mean ± standard error. Each dot represents average values of either corneal staining scores or tear secretion results from both eyes in each mouse. B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01, *** p < 0.001.
Figure 2. (A) Representative images of corneal fluorescein staining of young C57BL/6 (B6) mice (8-week-old; upper row, n = 4) and aged B6 mice (20-month-old; lower low, n = 4). (B) The National Eye Institute (NEI) corneal staining score was significantly higher in aged B6 mice than in young B6 mice (p = 0.013). Body weight (BW) adjusted tear secretion was significantly lower in aged B6 mice than young B6 mice (p = 0.008). (C) Representative images of corneal lissamine green staining of young NOD.B10.H2b mice (5-week-old; upper row) and aged NOD.B10.H2b mice (24-week-old; lower row). (D) The NEI corneal staining score was significantly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p = 0.002). Tear secretion and BW-adjusted tear secretion were significantly lower in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p < 0.001). Clinical scores were analyzed using unpaired, two-tailed, independent t-test. Data are expressed as the mean ± standard error. Each dot represents average values of either corneal staining scores or tear secretion results from both eyes in each mouse. B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01, *** p < 0.001.
Cells 10 01857 g002aCells 10 01857 g002b
Figure 3. Distribution of CD11b+ DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of CD11b+ DCs was higher in corneolimbus and MLN of aged B6 mice (p = 0.004, p = 0.035, respectively). However, CD11b+ DCs of LG were significantly lower than in young B6 mice (p = 0.044). The percentage of corneolimbal CD11b+ DCs in aged NOD.B10.H2b mice was significantly higher than in young NOD.B10.H2b mice (p < 0.001). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01, *** p < 0.001.
Figure 3. Distribution of CD11b+ DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of CD11b+ DCs was higher in corneolimbus and MLN of aged B6 mice (p = 0.004, p = 0.035, respectively). However, CD11b+ DCs of LG were significantly lower than in young B6 mice (p = 0.044). The percentage of corneolimbal CD11b+ DCs in aged NOD.B10.H2b mice was significantly higher than in young NOD.B10.H2b mice (p < 0.001). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01, *** p < 0.001.
Cells 10 01857 g003
Figure 4. Distribution of CD103+CD11b DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of MLN CD103+CD11b DCs was significantly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p = 0.004). Correspondingly, the percentage of corneolimbal CD103+CD11b DCs was markedly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p < 0.001). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. ** p < 0.01, *** p < 0.001.
Figure 4. Distribution of CD103+CD11b DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of MLN CD103+CD11b DCs was significantly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p = 0.004). Correspondingly, the percentage of corneolimbal CD103+CD11b DCs was markedly higher in aged NOD.B10.H2b mice than in young NOD.B10.H2b mice (p < 0.001). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. ** p < 0.01, *** p < 0.001.
Cells 10 01857 g004
Figure 5. Distribution of CD103+CD11b+ DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of MLN CD103+CD11b+ DCs were significantly increased in both mouse models (p = 0.025 in B6, p = 0.002 in NOD.B10.H2b, respectively). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01.
Figure 5. Distribution of CD103+CD11b+ DCs in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of MLN CD103+CD11b+ DCs were significantly increased in both mouse models (p = 0.025 in B6, p = 0.002 in NOD.B10.H2b, respectively). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05, ** p < 0.01.
Cells 10 01857 g005
Figure 6. Distribution of MHC-IIhi B cells in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. No significant proportional changes were observed in the MHC-IIhi B cell in the corneolimbus, LG, and MLN of B6 mice. The percentage of lacrimal glandial MHC-IIhi B cells was significantly higher in aged NOD.B10.H2b mice compared to young NOD.B10.H2b mice (p = 0.023). The percentage of MLN MHC-IIhi B cells was significantly higher in the aged NOD.B10.H2b mice than in the young NOD.B10.H2b mice (p = 0.038). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Figure 6. Distribution of MHC-IIhi B cells in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. No significant proportional changes were observed in the MHC-IIhi B cell in the corneolimbus, LG, and MLN of B6 mice. The percentage of lacrimal glandial MHC-IIhi B cells was significantly higher in aged NOD.B10.H2b mice compared to young NOD.B10.H2b mice (p = 0.023). The percentage of MLN MHC-IIhi B cells was significantly higher in the aged NOD.B10.H2b mice than in the young NOD.B10.H2b mice (p = 0.038). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Cells 10 01857 g006
Figure 7. Distribution of macrophages in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of lacrimal glandial MHC-IIhi macrophage (CD11b+CD11cCD24MHC-IIhi) was significantly lower in aged than young mice in both mice (p = 0.010 in B6, p = 0.024 in NOD.B10.H2b, respectively). In contrast, MLN showed a considerably increased proportion of MHC-IIhi macrophage in aged NOD.B10.H2b mice (p = 0.039). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Figure 7. Distribution of macrophages in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of lacrimal glandial MHC-IIhi macrophage (CD11b+CD11cCD24MHC-IIhi) was significantly lower in aged than young mice in both mice (p = 0.010 in B6, p = 0.024 in NOD.B10.H2b, respectively). In contrast, MLN showed a considerably increased proportion of MHC-IIhi macrophage in aged NOD.B10.H2b mice (p = 0.039). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Cells 10 01857 g007
Figure 8. Distribution of neutrophil/eosinophils in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of neutrophils/eosinophils (CD45+CD11b+CD11cCD24+MHCIIlo) was significantly higher in aged B6 mice than young B6 mice in MLN (p = 0.032). The percentage of neutrophils/eosinophils (CD45+CD11b+CD11cCD24+MHCIIlo) of LG was also lower in aged NOD.B10.H2b mice than in young mice (p = 0.022). However, MLN showed a considerably increased proportion of neutrophils/eosinophils in aged NOD.B10.H2b mice (p = 0.015). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Figure 8. Distribution of neutrophil/eosinophils in B6 (A) (n = 4) and NOD.B10.H2b (B) mice (n = 4). The total number of CD45+ cells was used as the denominator to compensate for the actual fraction of each subset in corneolimbus and LG. In MLN, the percentage of subsets was calculated as the percentage within total cells. The percentage of neutrophils/eosinophils (CD45+CD11b+CD11cCD24+MHCIIlo) was significantly higher in aged B6 mice than young B6 mice in MLN (p = 0.032). The percentage of neutrophils/eosinophils (CD45+CD11b+CD11cCD24+MHCIIlo) of LG was also lower in aged NOD.B10.H2b mice than in young mice (p = 0.022). However, MLN showed a considerably increased proportion of neutrophils/eosinophils in aged NOD.B10.H2b mice (p = 0.015). All experiment results were tested for statistical differences using unpaired, two-tailed independent t-tests. Data are expressed as the mean ± standard error of the mean. B6, C57BL/6; NOD, NOD.B10.H2b; DC, dendritic cell; CO, corneolimbus; LG, lacrimal gland; MLN, mesenteric lymph node; B6(Y), young B6 mice; B6(O), aged B6 mice; NOD(Y), young NOD.B10.H2b mice; NOD(O), aged NOD.B10.H2b mice. * p < 0.05.
Cells 10 01857 g008
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jung, Y.-H.; Ryu, J.-S.; Yoon, C.-H.; Kim, M.-K. Age-Dependent Distinct Distributions of Dendritic Cells in Autoimmune Dry Eye Murine Model. Cells 2021, 10, 1857. https://doi.org/10.3390/cells10081857

AMA Style

Jung Y-H, Ryu J-S, Yoon C-H, Kim M-K. Age-Dependent Distinct Distributions of Dendritic Cells in Autoimmune Dry Eye Murine Model. Cells. 2021; 10(8):1857. https://doi.org/10.3390/cells10081857

Chicago/Turabian Style

Jung, Young-Ho, Jin-Suk Ryu, Chang-Ho Yoon, and Mee-Kum Kim. 2021. "Age-Dependent Distinct Distributions of Dendritic Cells in Autoimmune Dry Eye Murine Model" Cells 10, no. 8: 1857. https://doi.org/10.3390/cells10081857

APA Style

Jung, Y. -H., Ryu, J. -S., Yoon, C. -H., & Kim, M. -K. (2021). Age-Dependent Distinct Distributions of Dendritic Cells in Autoimmune Dry Eye Murine Model. Cells, 10(8), 1857. https://doi.org/10.3390/cells10081857

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop