Open Access
Cornea & External Disease  |   August 2024
Multimodal Approach in Dry Eye Disease Combining In Vivo Confocal Microscopy and HLA-DR Expression
Author Affiliations & Notes
  • Benjamin Blautain
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
  • Ghislaine Rabut
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
  • Bénédicte Dupas
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
  • Luisa Riancho
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
  • Hong Liang
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
  • Jade Luzu
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
  • Antoine Labbé
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
    Ambroise Paré, APHP, Service d'Ophtalmologie, Université Paris Saclay, Boulogne, France
  • Jean-Sébastien Garrigue
    SANTEN SAS, Ophthalmic Innovation Center, Evry-Courcouronnes, France
  • Françoise Brignole-Baudouin
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
    Hôpital National de la Vision des 15-20, Laboratoire d'Ophtalmobiologie, Paris, France
    Université Paris Cité, Faculté de Pharmacie, Paris, France
  • Christophe Baudouin
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
    Ambroise Paré, APHP, Service d'Ophtalmologie, Université Paris Saclay, Boulogne, France
  • Karima Kessal
    Hôpital National de la Vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, Paris, France
    Hôpital National de la Vision des 15-20, Service 3, Paris, France
    Sorbonne Université UM80, INSERM UMR 968, CNRS UMR 7210, Institut de la Vision, IHU ForeSight, Paris, France
  • Correspondence: Karima Kessal, Hôpital National de la vision des 15-20, INSERM-DGOS CIC1423, IHU FOReSight, 28 Rue de Charenton, Paris 75571, France. e-mail: karima.kessal@inserm.fr 
Translational Vision Science & Technology August 2024, Vol.13, 39. doi:https://doi.org/10.1167/tvst.13.8.39
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Benjamin Blautain, Ghislaine Rabut, Bénédicte Dupas, Luisa Riancho, Hong Liang, Jade Luzu, Antoine Labbé, Jean-Sébastien Garrigue, Françoise Brignole-Baudouin, Christophe Baudouin, Karima Kessal; Multimodal Approach in Dry Eye Disease Combining In Vivo Confocal Microscopy and HLA-DR Expression. Trans. Vis. Sci. Tech. 2024;13(8):39. https://doi.org/10.1167/tvst.13.8.39.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: The purpose of this study was to determine the association between corneal images provided by in vivo confocal microscopy (IVCM) with clinical parameters and conjunctival expression of HLA-DR antigen in patients with dry eye disease (DED).

Methods: Two hundred fourteen eyes of 214 patients with DED were analyzed, consisting of 2 groups of patients – 63 with autoimmune dry eye disease (AIDED) and 151 with non-autoimmune dry eye disease (NAIDED). Patients underwent a full clinical examination, including symptom screening, using the Ocular Surface Disease Index (OSDI) questionnaire, and objective analysis of DED signs by Schirmer's testing, tear break-up time (TBUT), Oxford's test, and IVCM corneal imaging. The IVCM scoring criteria were based on corneal sub-basal nerve density (ND), nerve morphology (NM), and inflammatory cell (IC) density. Quantification of conjunctival HLA-DR antigen was performed by flow cytometry.

Results: The total IVCM score (T-IVCM) as well as the IVCM-IC subscore (sc) were positively correlated with HLA-DR levels with r = 0.3, P < 0.001 and r = 0.3, P < 0.01, respectively in the total population of patients with DED. The IVCM-NDsc was negatively correlated with TBUT in patients with AIDED (r = −0.2, P < 0.05) and with the Schirmer's test in patients with NAIDED (r = −0.24, P < 0.05). However, the IVCM-NMsc was positively correlated with the Oxford score only in patients with AIDED (r = 0.3, P < 0.05).

Conclusions: The proposed IVCM scoring system showed significant correlations with clinical parameters along with conjunctival HLA-DR quantification in patients with DED.

Translational Relevance: The IVCM grading score represents an interesting point of commonality among clinical parameters, imaging, and molecular investigation of the ocular surface.

Introduction
Dry eye disease (DED) is a complex, significant health concern and a frequently disabling disease, the definition of which has recently been refined by the Tear Film and Ocular Surface Society Dry Eye Workshop (TFOS DEWS) II expert group,1 as a “multifactorial disease of the ocular surface characterized by a loss of homeostasis of the tear film, and accompanied by ocular symptoms, in which tear film instability and hyperosmolarity, ocular surface inflammation and damage, and neurosensory abnormalities play etiological roles.” Its diagnosis, often challenging, and its causes, varied and frequently intertwined, make DED a disease in its own right within ophthalmology. Diagnosis of DED requires meticulous clinical examination, including symptom screening via the use of specific questionnaires, such as the Ocular Surface Disease Index (OSDI),2 corneal and conjunctival staining for the Oxford score,3 and assessment of the quantity and the quality of tear production via the Schirmer's test and tear break-up time (TBUT), respectively.4,5 However, the lack of a gold standard symptom or clinical sign, along with the insufficiently understood discordance6 between symptoms and signs, make DED evaluation and stratification a major challenge for clinicians and researchers. This issue has contributed to a growing interest in developing multimodal methods of evaluating DED, in particular, imaging7,8 and biological markers, including proteomic,911 transcriptomic,12,13 and lipidomic14,15 approaches. 
Among imaging techniques, in vivo confocal microscopy (IVCM) allows a morphological, minimally invasive, high-resolution, real-time evaluation of the ocular surface, including the cornea.16 In DED, the corneal sensory nerves and inflammatory cells, located at the level of the sub-Bowman layer, represent two parameters of interest, widely described using IVCM imaging.1719 Morphological parameters of corneal nerves fibers, such as reflectivity, tortuosity, and density, allow qualitative and quantitative assessment of the cornea by IVCM imaging.19 Indeed, several studies demonstrate the correlation between the alteration of corneal sensory nerves and disease severity.2025 Additionally, corneal IVCM images allow visualization of immune and inflammatory cells, mainly dendritic cells (DCs). Indeed, the DCs are known to play a role in regulating corneal homeostasis and responding to foreign antigens, including infectious agents.26 In patients with DED, the density of DCs, as well as their morphological patterns, have been correlated with disease severity.2730 Interestingly, several studies suggested a close interaction between corneal sensory nerves and DCs in both healthy patients and patients with DED.19,3133 This intimate relationship between DCs and corneal nerves has also been reported in an experimental DED mouse model,34 suggesting a role of corneal nerves in mediating immune responses. Unfortunately, due to a lack of consensus in the interpretation of IVCM images differentiating physiological from pathological parameters remains a point of debate.35 However, the use of imaging scores based on changes in the corneal parameters described above might facilitate IVCM evaluation, and, therefore, patient management. Recently, IVCM scores have been described in ocular surface diseases, including Meibomian gland dysfunction (MGD)36 and nephropathic cystinosis.37 Nevertheless, no consensual IVCM score taking into account the DCs and nerves has yet been described for DED. Moreover, in order to refine the evaluation of patients with DED through morphological assessment, molecular identification of the ocular surface might lead to a better description of cellular events. Indeed, considering the complexity of a DED diagnosis, several studies have been conducted in search of reliable biological markers correlated with pathophysiological disease patterns. During the past decade, the assessment of human leukocyte antigen-DR (HLA-DR) expression in conjunctival cells, has demonstrated usefulness in clinical trials reflecting levels of ocular surface inflammation.38,39 Conjunctival expression of HLA-DR has been correlated with clinical symptoms and signs39 and has been used for monitoring the effects of topical anti-inflammatory drugs in patients with DED.40 Therefore, based on changes in HLA-DR expression in patients with DED and its evaluation in several multicenter clinical trials, HLA-DR has been found to be a potential biomarker of DED severity and prognosis. Thus, in order to better understand the ocular surface dysregulation occurring in patients with DED, we aimed to describe a more specific profile of patients with DED via IVCM corneal images and to assess the interplay between clinical data and conjunctival HLA-DR expression with IVCM stratification. Herein, we propose a simplified IVCM score, which we found to be correlated with clinical parameters and HLA-DR molecular assessment of the ocular surface in a large population of patients with DED. 
Materials and Methods
Study Design
This retrospective study was conducted at the “Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts,” Paris, France. All patients provided written informed consent. The described research methods and analyses adhered to the tenets of the 1964 Declaration of Helsinki, and the Committee for Protection of Persons (CPP Ile-de-France A02800-55) has provided a favorable approval to this study. 
Participants
The study population (Table 1) included 214 eyes of 214 patients with DED – 63 patients with auto immune dry eye disease (AIDED) and 151 with non-auto immune dry eye disease (NAIDED). Inclusion criteria consisted of a minimum age of 18 years and a comprehensive examination at the Clinical Investigation Center specialized in DED. The diagnosis was adapted through the clinical information attested by the clinician, according to the biological indication and previous care visits. The classification of a patient with DED was tailored by the TFOS DEWS II Definition and Classification Report and Diagnostic Methodology report.1,41 The diagnosis of autoimmune context was made by the referring internist, in accordance with the criteria defined by American College of Rheumatology (ACR) and European League Against Rheumatism (EULAR).42 All of the referred patients received a variety of dedicated medical care to prevent DED, such as artificial tears, topical cyclosporine, topical antibiotics, punctal plugs, eyelid hygiene, and/or topical anti-allergic treatment. Additionally, the included population correspond to a heterogeneous population to capture a broad spectrum of patients with DED. Briefly, the clinical examination included the OSDI, Schirmer's test, TBUT, and Oxford score. Clinical assessment of symptoms and signs related to DED was followed by acquisition of IVCM images of the corneal sub-basal plexus. The worst eye of each patient was selected, based on the Oxford score. If both eyes had similar Oxford scores, the most painful eye was selected. In case of equal discomfort or pain in both eyes, a randomization between the two eyes was performed. 
Table 1.
 
Demographic and Dry Eye Parameters
Table 1.
 
Demographic and Dry Eye Parameters
Acquisition and Scoring of IVCM Images
Following topical anesthesia (oxybuprocaine hydrochloride 0.4%; Théa Pharma, France), the central four millimeters of the patients’ corneas were analyzed at the level of the sub-Bowman layer, where the sub-basal nerve plexus and inflammatory cells are located. The Heidelberg Retina Tomograph II combined with the Rostock Cornea Module (HRT II-RCM; Heidelberg Engineering, Heidelberg, Germany) were used to obtain IVCM images covering an area of 400 × 400 µm, digitally converted into images of 384 × 384 pixels. An IVCM grading score was then constructed, based on the three following parameters: subjective evaluation of sub-basal nerve density,9 nerve morphology (NM), and inflammatory cell (IC) density (Table 2). All linear hyper-reflective branching structures were considered to be nerves. All observed cells, from round, presumed immature cells to well-defined, presumably mature dendriform cells, were considered to be ICs. For IC density evaluation, the five sharpest images of each eye were chosen, based on the quality of contrast and focus (ImageJ software, U. S. National Institutes of Health, Bethesda, MD, USA, https://imagej.nih.gov/ij/). ImageJ software (1997–2018) was used to count the number of cells per image, using the multipoint tool in manual mode. The average density of ICs was then calculated and classified into the 4 categories reported in Table 2. The Total IVCM score (T-IVCM) was obtained by adding the scores of each of the three IVCM subscore (sc) parameters: NDsc (range = 0–1), NMsc (range = 0–2), and ICsc (range = 0–3). The morphometric evaluations of the corneal IVCM images were carried out in a manner blinded with regard to diagnosis and clinical outcomes, and the test-retest reliability coefficient of the IVCM score was 0.88 (P < 0.0001). Representative corneal IVCM images of the patients are presented in Figure 1. In a second time, analysis of (1) corneal nerve fiber density (NFD) as numbers per square millimeter (n/mm²), (2) corneal nerve fiber length (NFL) as millimeters per square millimeter (mm/mm²) defined as the sum of the nerve branches observed within a frame, and cell inflammatory density as n/mm²) was performed manually using Neuron J. Nerve tracing was examined using Neuron J a Java-based image analysis software package that includes a nerve-tracing plugin module. 
Table 2.
 
IVCM Grading Score Composition
Table 2.
 
IVCM Grading Score Composition
Figure 1.
 
Representative images of in vivo confocal microscopy at the level of the corneal sub-basal nerve plexus in patients with DED, along with the IVCM grading score. Cellular and sensory nerve morphometric criteria were used to score images. Dendritic cells (DCs) are indicated with yellow arrows highlighting the increase in IC density from scores of IC-0 to IC-3. Nerve alterations are considered according to their density and their morphological patterns, reflectivity, tortuosity, or both. ICs, inflammatory cells; ND, nerve density; NM, nerve morphology; NM1-T, tortuosity; NM1-R, reflectivity; NM-2, both reflectivity and tortuosity.
Figure 1.
 
Representative images of in vivo confocal microscopy at the level of the corneal sub-basal nerve plexus in patients with DED, along with the IVCM grading score. Cellular and sensory nerve morphometric criteria were used to score images. Dendritic cells (DCs) are indicated with yellow arrows highlighting the increase in IC density from scores of IC-0 to IC-3. Nerve alterations are considered according to their density and their morphological patterns, reflectivity, tortuosity, or both. ICs, inflammatory cells; ND, nerve density; NM, nerve morphology; NM1-T, tortuosity; NM1-R, reflectivity; NM-2, both reflectivity and tortuosity.
Flow Cytometry Analysis of Conjunctival HLA-DR Expression
Conjunctival cells were collected using conjunctival imprints (EyePrim device; Opia, France) from each patient with DED, and the polyether sulfone membranes were placed on the superior or superotemporal bulbar conjunctiva. The collected membranes were then placed into a tube containing 0.05% paraformaldehyde in phosphate-buffered saline solution and processed as soon as possible. Briefly, as described previously,38,39 cells were extracted from the membranes then analyzed after indirect HLA-DR antigen immunostaining (DAKO, Denmark, M0746 mouse monoclonal anti-human HLA-DR antigen alpha-chain clone TAL.1B5 as the primary antibody and F0479 goat F(ab’)2 anti-mouse FITC-conjugated as the secondary antibody) using a flow cytometer (Cytomics FC500 MCL; Beckman Coulter, USA). The quantified fluorescence intensity was derived from the HLA-DR mean fluorescence intensities (MFIs) converted into arbitrary units of fluorescence (AUF) using fluorescence calibrated beads (QIFIKIT; Dako, Denmark). 
Statistical Analysis
Statistical analyses were carried out with Prism software, version 8.0.1 (GraphPad Software Inc., San Diego, USA). A Spearman's correlation was conducted to correlate the T-IVCM score and the three related subscores (ICsc, NDsc, and NMsc), as well as HLA-DR levels, with the clinical parameters. The mean values of each quantified parameter were compared using Mann-Whitney tests. Any P values < 0.05 were considered statistically significant for comparison and correlation and marked with an asterisk. 
Results
Correlations of IVCM Scores With Clinical Parameters and HLA-DR Levels in the Total Population of Patient With DED
The clinical parameters and levels of HLA-DR were correlated with the T-IVCM score and its related subscores, ICsc, NDsc, and NMsc. Significant correlations are described in Figure 2a, by Spearman’s rank correlation coefficient (r). The T-IVCM score and ICsc showed significant correlation with HLA-DR levels, r = 0.3, P < 0.01, respectively. However, the T-IVCM score showed no correlation with either symptoms or signs. Nevertheless, the IVCM subscores showed significant correlation with signs and symptoms. Neuronal abnormalities, represented by nerve density (ND), were negatively correlated with Schirmer's test (r = −0.2, P < 0.05). ICsc, reflecting the inflammatory state, was positively correlated with both ocular symptoms and vision-related function OSDI subscores, both r = 0.2 and P < 0.05. Finally, patient age was correlated with nerve abnormalities through its correlation with NDsc and NMsc as well as the T-IVCM score (r = 0.23, P < 0.001). However, no correlation was found between inflammatory state, represented by ICsc, and age. This proposed grading system also shows a close result when a linear quantification grade was performed (Supplementary Tables S1a and S1b). The correlation for HLA DR level and density of ICs/mm² remain significant r = 0.2 and P < 0.05 as well as nerve length with the Schirmer strip r = 0.2 and P < 0.05 and aging r = −0.2 and P < 0.01. 
Figure 2.
 
Correlations between IVCM scores and individual clinical indicators as well as with conjunctival HLA-DR expression in patients with DED. Significant correlations between parameters are represented by a correlogram for all patients, combining AIDED and NAIDED (a), and by separating DED subgroups according to their autoimmune status in AIDED and NAIDED (b). Statistically significant Spearman's correlation coefficients (r) are highlighted in red for a positive correlation and in blue for a negative correlation, whereas the empty boxes represent nonsignificant correlations. The P values are indicated as follows: *P < 0.05; **P < 0.01, ***P < 0.001. HLA-DR, human leukocyte antigen-DR; IC, inflammatory cells; IVCM, in vivo confocal microscopy; ND, nerve density; NM, nerve morphology; OSDI, Ocular Surface Index; TBUT, tear break up-time.
Figure 2.
 
Correlations between IVCM scores and individual clinical indicators as well as with conjunctival HLA-DR expression in patients with DED. Significant correlations between parameters are represented by a correlogram for all patients, combining AIDED and NAIDED (a), and by separating DED subgroups according to their autoimmune status in AIDED and NAIDED (b). Statistically significant Spearman's correlation coefficients (r) are highlighted in red for a positive correlation and in blue for a negative correlation, whereas the empty boxes represent nonsignificant correlations. The P values are indicated as follows: *P < 0.05; **P < 0.01, ***P < 0.001. HLA-DR, human leukocyte antigen-DR; IC, inflammatory cells; IVCM, in vivo confocal microscopy; ND, nerve density; NM, nerve morphology; OSDI, Ocular Surface Index; TBUT, tear break up-time.
Comparisons Between Patients With AIDED and Patients With NAIDED Through Correlations Between IVCM Total Score and Subscores
Correlations between T-IVCM scores and clinical parameters were further analyzed by considering patients with DED according to their auto-immune status. Significant correlations are reported in Table 2b. ICsc showed the most significant correlation with HLA-DR levels in both groups (r = 0.4, P < 0.05) in patients with AIDED and (r = 0.3, P < 0.01) in patients with NAIDED. Nevertheless, the correlation between T-IVCM scores and HLA-DR levels was significant only in patients with NAIDED (r = 0.32, P < 0.05).NDsc was preferentially and negatively correlated with TBUT in patients with AIDED (r = −0.2, P < 0.05) and with Schirmer's test in patients with NAIDED (r = −0.24, P < 0.05). NMsc was positively correlated only with Oxford score in patients with AIDED (r = 0.3, P < 0.05). Finally, the correlation between T-IVCM score and subscores with OSDI showed a different distribution between groups. The T-IVCM score was correlated with the OSDI (r = 0.2, P < 0.05), exclusively with ocular symptoms of patients with NAIDED (r = 0.2, P < 0.05). Nevertheless, a negative correlation was seen with the OSDI environmental triggers score (r = −0.3, P < 0.05) only in patients with AIDED. Likewise, ICsc was correlated exclusively in patients with NAIDED. 
Conjunctival Expression of HLA-DR Within IVCM Subscore Groups
To better characterize the association between corneal and conjunctival changes, the morphometric criteria presented in Figure 1 and Table 2 were considered. Similarly, after analyzing the global correlation between IVCM score and subscores and the clinical and molecular parameters, a specific stratification according to IVCM subscores, ICsc, NDsc, and NMsc, was performed. The resultant comparison between low ICsc (IC-0 to IC-2) and high ICsc (IC-3 to IC-4) showed a significant increase in conjunctival expression of HLA-DR in all patients with DED (Fig. 3a) as well as in both subgroups (Fig. 3b). Nevertheless, no significant difference was observed when stratification of the patients with DED was performed using corneal sensory nerve IVCM subscores (data not shown). 
Figure 3.
 
Conjunctival expression of HLA-DR according to IVCM-ICsc, which is related to ICs. Comparison between low IVCM-ICsc (IC-0 to IC-2) and high IVCM-ICsc (IC-3 to IC-4) showed a significant increase in conjunctival expression of HLA-DR in all patients with DED (a), as well as in both subgroups (b). Error bars represent standard errors of the mean (SEM). Data are expressed as mean ± SEM, and nonparametric comparisons between groups using the Mann-Whitney test were performed, with significant P values as follows: *P < 0.05; **P < 0.01; ***P < 0.001. AIDED, autoimmune dry eye disease; DED, dry eye disease; NAIDED, non-autoimmune dry eye disease.
Figure 3.
 
Conjunctival expression of HLA-DR according to IVCM-ICsc, which is related to ICs. Comparison between low IVCM-ICsc (IC-0 to IC-2) and high IVCM-ICsc (IC-3 to IC-4) showed a significant increase in conjunctival expression of HLA-DR in all patients with DED (a), as well as in both subgroups (b). Error bars represent standard errors of the mean (SEM). Data are expressed as mean ± SEM, and nonparametric comparisons between groups using the Mann-Whitney test were performed, with significant P values as follows: *P < 0.05; **P < 0.01; ***P < 0.001. AIDED, autoimmune dry eye disease; DED, dry eye disease; NAIDED, non-autoimmune dry eye disease.
Correlations Between Clinical Signs and Symptoms Among the Highest T-IVCM Scores
In order to enrich the meaningfulness of the IVCM scores, the patients with DED were stratified according to their total scores. Moreover, in order to homogenize the composition of the subgroups, extreme values of the T-IVCM score were considered separately, allowing the formation of two groups: group 1, consisting of the 39 eyes with the lowest T-IVCM scores (≤2), and group 2, consisting of the 45 eyes with the highest T-IVCM scores (≥5). Figure 4 summarizes the significant correlations between symptoms and signs in these two groups stratified according to their total IVCM scores. In both groups of patients with DED, TBUT values show a similar negative correlation between OSDI scores and Oxford test results. Nevertheless, in group 2, a new significant correlation appeared between OSDI and Oxford test (r = 0.34, P < 0.05). Additionally, the Schirmer's test was positively correlated with TBUT (r = 0.4, P < 0.01) and negatively correlated with the Oxford test (r = −0.34, P < 0.05) and TBUT (r = 0.4, P < 0.01). These results highlight the importance of IVCM morphological criteria in severe DED, taking into account the increase in DCs and the alterations in corneal sensory nerves. 
Figure 4.
 
Summary of correlations between IVCM score and clinical parameters among low and high IVCM scores. Statistically significant correlations between clinical parameters are presented, including clinical symptoms and signs (OSDI, Oxford score, Schirmer test, and TBUT). The significant Spearman's correlation factor r is indicated between each set of parameters. Positive correlation is represented by red lines, and negative correlation by blue lines. Correlation strength is proportional to the thickness of the lines.
Figure 4.
 
Summary of correlations between IVCM score and clinical parameters among low and high IVCM scores. Statistically significant correlations between clinical parameters are presented, including clinical symptoms and signs (OSDI, Oxford score, Schirmer test, and TBUT). The significant Spearman's correlation factor r is indicated between each set of parameters. Positive correlation is represented by red lines, and negative correlation by blue lines. Correlation strength is proportional to the thickness of the lines.
Discussion
In this study, we aimed to develop and evaluate a new IVCM scoring system based on nerve abnormalities and inflammatory cell density. Indeed, in recent years, growing interest in nerve damage and inflammation have encouraged the search for new biomarkers in DED.23,25,43,44 Thus, in order to develop a simplified imaging metric analysis, the proposed IVCM score took into consideration the densities of both ICs and sensory nerves as well as morphological nerve damage, to reflect corneal changes in DED. Thus, the T-IVCM score was subdivided into three subscores as follows: (i) ICsc, (ii) NDsc, and (iii) NMsc. The T-IVCM, as well as its related subscores, were subjected to correlation analyses with both clinical patterns and conjunctival HLA-DR levels in patients with DED. 
We demonstrated a significant correlation between some clinical parameters and the molecular assessment with the T-IVCM score and subscores. The significant correlation between IVCM scores and clinical parameters was consistent with previous studies of sub-basal nerves25 and corneal DCs.45 Indeed, patient age was correlated with decreased NDsc and alterations in nerve morphology, and an increase in DCs was positively correlated with OSDI scores and subscores. Likewise, HLA-DR levels were higher in the presence of higher numbers of DCs in the cornea, which confirms the involvement of adapted immune responses during DED progression. The close association between conjunctival HLA-DR expression and age in patients with DED confirms the physiological link between inflammation and disease severity, as well as the aging process.4650 Interestingly, our results highlight the fact that DED symptoms, qualified by total OSDI score, are correlated with IVCM-ICsc, supporting the relationship between inflammation and subjective symptoms. Additionally, the use of IVCM-ICsc, related to DC density, separately appears to be more suitable for estimating corneal changes compared to the sensory nerve subscore, IVCM-NDsc, alone. Indeed, even if nerve alterations reflect a pathologic state, quantification of them remains subjective. A recent review19 compiling corneal IVCM studies, in which the authors used nerve alterations and inflammation as principal parameters to differentiate DED subtypes, has suggested that using DCs is a better indicator of DED associated with systemic immune-mediated processes. Indeed, infiltration of activated DCs within the cornea represents an important sign for defining corneal inflammation, DCs being key players in the regulation of cell-mediated immunity.2729 Likewise, inflammatory cellular components are considered excellent indicators of inflammatory activity and clinical severity.16,50 Interestingly, the ratio of immature to mature DCs, defined by their cellular shape, has been used to stratify patients with infectious keratitis.51 Additionally, the positive significant correlation between T-IVCM score, and specifically ICsc, with conjunctival HLA-DR expression reflects the close relationships between the mucosal response of the conjunctiva with the immune response in the cornea. Likewise, highly expressed HLA-DR in the conjunctiva was associated with an increase in corneal DCs under conditions of inflammation. This reflects the perpetuation of inflammation in the ocular surface. Similarly, decreased conjunctival HLA-DR expression after cyclosporine treatment was associated with ICsc decrease in the cornea (Supplementary Fig. S1). The close association between corneal changes and HLA-DR increase encourages and justifies further research on some promising targets of interest involved in inflammation, as previously identified by our team.13,52 Moreover, corneal sensory nerve parameters were preferentially related to DED signs, such as the quantity and quality of the tear film (TF). This observation reinforces the involvement of corneal nerves in TF homeostasis.5355 Likewise, corneal innervation is vital for maintenance of corneal health and is involved in the protective mechanisms against harmful factors, as well as being essential for epithelial and endothelial integrity.5658 Neurosensory dysfunction also contributes to DED.1 Nevertheless, across the literature, none of these sub-basal nerve metrics have been consistent in differentiating specific DED subtypes.19 This lack of specificity is due to both the heterogeneity within each etiology and the overlapping of clinical features between them. More discriminative criteria are needed to elucidate the significance of these corneal sensory nerve alterations. 
In the second part of our study, patients with DED were clustered into two groups, patients with AIDED and patients with NAIDED, and similar relationships were confirmed. Interestingly, the positive correlation between the Oxford score and NMsc appeared to be more obvious in the AIDED group. These results reinforce the interest in deciphering the close connection between altered corneal epithelial cells and sensory nerve morphometric changes in chronic DED.34,59,60 Interestingly, NDsc was more closely related to TF volume in patients with NAIDED and to TF quality in patients with AIDED. However, the IVCM score and its subscores do not help in distinguishing between systemic auto-immune and non-autoimmune status. These observations have also been reported in several studies based on these corneal parameters in patients with DED.44 Moreover, the use of IVCM subscores was helpful in distinguishing between two main groups of patients showing sensory nerve alterations with or without inflammation. Interestingly, conjunctival HLA-DR expression was significantly different between these two groups. Nevertheless, no significant differences were reported in terms of clinical signs and symptoms between both groups (data not shown). However, the correlations between signs and symptoms within each group were significantly different. Indeed, the highest T-IVCM scores were related to a more severe state with an exacerbation of all ocular surface criteria. These observations highlight the fact that both alterations in nerves and increases in ICs in the cornea are associated with more severe DED. These results support the use of a simplified IVCM score to evaluate disease severity. Moreover, consideration of IVCM subscores separately might be helpful in understanding the relationship between associated symptomatology and morphological changes as the disease progresses. This also argues in favor of early evaluation of the cornea to assess the onset of abnormalities, whether in the presence or absence of inflammation. 
Among the key points of our study, it is worth mentioning the value of evaluating this IVCM score in a longitudinal study or clinical trials to appreciate slight morphometric changes in regard to signs and symptoms. Similarly, it might be interesting to pursue the description of this score as a monitoring tool for evaluating topical or systemic treatments or other etiologies of DED, such as environmental exposures61 or contact lens wear.62 Nonetheless, the heterogeneity in terms of disease chronicity and the panel of treatments and duration of the included population could represent a limitation of the study. Moreover, the field of molecular biomarker research of the ocular surface will be strengthened with the additional clinical phenotyping available through this IVCM score. Indeed, the correlations between emerging molecular targets of interest and morphometric alterations in the cornea will shed light on pathophysiological mechanisms involved in the initiation and perpetuation of the disease. Interestingly, for future exploration, there may be a role for machine learning, which has been shown to be effective in classification by evaluating corneal nerves and DCs.63,64 This stratification will be used to analyze a high number of images and bring a modern approach to DED through artificial intelligence. 
Conclusions
In this study, we propose the use of a simplified IVCM score and subscore system to quantify morphometric alterations in the corneas of patients with DED. The clinical relevance of this simplified IVCM score was evaluated by the analysis of its correlation with signs and symptoms as well as with the inflammatory response as measured by conjunctival HLA-DR expression. Our findings suggest that the use of this IVCM score, particularly the consideration of its separate subscores, may be a useful method to establish a stratification system for DED diagnosis and biomarker investigation. 
Acknowledgments
Supported by Sorbonne Université and the Institut National de la Santé et de la Recherche Médicale, ANR, LabEx LIFESENSES (ANR-10-LABX-65), and IHU FOReSIGHT (ANR-18-IAHU-01), and was funded by Laboratoire Santen, within the framework of research collaboration with Sorbonne Université/Institut de la Vision. The authors thank Kevin Clark for editing advice. 
Institutional Review Board Statement: The study was approved by the Ethics Committee CPP–Ile-de-France (number: 2018-A02800-55). 
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study, in accordance with the Ethics Committee CPP–Ile-de-France (number: 2018-A02800-55). 
Disclosure: B. Blautain, None; G. Rabut, None; B. Dupas, None; L. Riancho, None; H. Liang, None; J. Luzu, None; A. Labbé, None; J.-S. Garrigue, None; F. Brignole-Baudouin, None; C. Baudouin, None; K. Kessal, None 
References
Craig JP, Nichols KK, Akpek EK, et al. TFOS DEWS II Definition and Classification Report. Ocul Surf. 2017; 15: 276–283. [CrossRef] [PubMed]
Schiffman RM, Christianson MD, Jacobsen G, Hirsch JD, Reis BL. Reliability and validity of the Ocular Surface Disease Index. Arch Ophthalmol. 2000; 118: 615–621. [CrossRef] [PubMed]
Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003; 22: 640–650. [CrossRef] [PubMed]
Kallarackal GU, Ansari EA, Amos N, Martin JC, Lane C, Camilleri JP. A comparative study to assess the clinical use of fluorescein meniscus time (FMT) with tear break up time (TBUT) and Schirmer's tests (ST) in the diagnosis of dry eyes. Eye (Lond). 2002; 16: 594–600. [CrossRef] [PubMed]
Paugh JR, Tse J, Nguyen T, et al. Efficacy of the fluorescein tear breakup time test in dry eye. Cornea. 2020; 39: 92–98. [CrossRef] [PubMed]
Ong ES, Felix ER, Levitt RC, Feuer WJ, Sarantopoulos CD, Galor A. Epidemiology of discordance between symptoms and signs of dry eye. Br J Ophthalmol. 2018; 102: 674–679. [CrossRef] [PubMed]
Villani E, Bonsignore F, Cantalamessa E, Serafino M, Nucci P. Imaging biomarkers for dry eye disease. Eye Contact Lens. 2020; 46(Suppl 2): S141–S145. [PubMed]
Binotti WW, Bayraktutar B, Ozmen MC, Cox SM, Hamrah P. A review of imaging biomarkers of the ocular surface. Eye Contact Lens. 2020; 46(Suppl 2): S84–S105. [PubMed]
Zhou L, Beuerman RW, Chan CM, et al. Identification of tear fluid biomarkers in dry eye syndrome using iTRAQ quantitative proteomics. J Proteome Res. 2009; 8: 4889–4905. [CrossRef] [PubMed]
Versura P, Nanni P, Bavelloni A, et al. Tear proteomics in evaporative dry eye disease. Eye (Lond). 2010; 24: 1396–1402. [CrossRef] [PubMed]
Soria J, Acera A, Merayo LJ, et al. Tear proteome analysis in ocular surface diseases using label-free LC-MS/MS and multiplexed-microarray biomarker validation. Sci Rep. 2017; 7: 17478. [CrossRef] [PubMed]
Kawasaki S, Kawamoto S, Yokoi N, et al. Up-regulated gene expression in the conjunctival epithelium of patients with Sjogren's syndrome. Exp Eye Res. 2003; 77: 17–26. [CrossRef] [PubMed]
Kessal K, Liang H, Rabut G, et al. Conjunctival inflammatory gene expression profiling in dry eye disease: correlations with HLA-DRA and HLA-DRB1. Front Immunol. 2018; 9: 2271. [CrossRef] [PubMed]
Lam SM, Tong L, Yong SS, et al. Meibum lipid composition in Asians with dry eye disease. PLoS One. 2011; 6: e24339. [CrossRef] [PubMed]
Lam SM, Tong L, Reux B, et al. Lipidomic analysis of human tear fluid reveals structure-specific lipid alterations in dry eye syndrome. J Lipid Res. 2014; 55: 299–306. [CrossRef] [PubMed]
Matsumoto Y, Ibrahim OMA. Application of in vivo confocal microscopy in dry eye disease. Invest Ophthalmol Vis Sci. 2018; 59: DES41–DES47. [CrossRef] [PubMed]
Machetta F, Fea AM, Actis AG, de Sanctis U, Dalmasso P, Grignolo FM. In vivo confocal microscopic evaluation of corneal Langerhans cells in dry eye patients. Open Ophthalmol J. 2014; 8: 51–59. [CrossRef] [PubMed]
Liu Y, Chou Y, Dong X, et al. Corneal subbasal nerve analysis using in vivo confocal microscopy in patients with dry eye: analysis and clinical correlations. Cornea. 2019; 38: 1253–1258. [CrossRef] [PubMed]
Hwang J, Dermer H, Galor A. Can in vivo confocal microscopy differentiate between sub-types of dry eye disease? A review. Clin Exp Ophthalmol. 2021; 49: 373–387. [CrossRef] [PubMed]
Kokot J, Wylegala A, Wowra B, Wojcik L, Dobrowolski D, Wylegala E. Corneal confocal sub-basal nerve plexus evaluation: a review. Acta Ophthalmol. 2018; 96: 232–242. [CrossRef] [PubMed]
Villani E, Galimberti D, Viola F, Mapelli C, Ratiglia R. The cornea in Sjogren's syndrome: an in vivo confocal study. Invest Ophthalmol Vis Sci. 2007; 48: 2017–2022. [CrossRef] [PubMed]
Cruzat A, Pavan-Langston D, Hamrah P. In vivo confocal microscopy of corneal nerves: analysis and clinical correlation. Semin Ophthalmol. 2010; 25: 171–177. [CrossRef] [PubMed]
Cruzat A, Qazi Y, Hamrah P. In vivo confocal microscopy of corneal nerves in health and disease. Ocul Surf. 2017; 15: 15–47. [CrossRef] [PubMed]
Labbe A, Alalwani H, Van Went C, Brasnu E, Georgescu D, Baudouin C. The relationship between subbasal nerve morphology and corneal sensation in ocular surface disease. Invest Ophthalmol Vis Sci. 2012; 53: 4926–4931. [CrossRef] [PubMed]
Labbe A, Liang Q, Wang Z, et al. Corneal nerve structure and function in patients with non-Sjogren dry eye: clinical correlations. Invest Ophthalmol Vis Sci. 2013; 54: 5144–5150. [CrossRef] [PubMed]
Stepp MA, Menko AS. Immune responses to injury and their links to eye disease. Transl Res. 2021; 236: 52–71. [CrossRef] [PubMed]
Hamrah P, Huq SO, Liu Y, Zhang Q, Dana MR. Corneal immunity is mediated by heterogeneous population of antigen-presenting cells. J Leukoc Biol. 2003; 74: 172–178. [CrossRef] [PubMed]
Mastropasqua L, Nubile M, Lanzini M, et al. Epithelial dendritic cell distribution in normal and inflamed human cornea: in vivo confocal microscopy study. Am J Ophthalmol. 2006; 142: 736–744. [CrossRef] [PubMed]
Lin H, Li W, Dong N, et al. Changes in corneal epithelial layer inflammatory cells in aqueous tear-deficient dry eye. Invest Ophthalmol Vis Sci. 2010; 51: 122–128. [CrossRef] [PubMed]
Kheirkhah A, Rahimi Darabad R, Cruzat A, et al. Corneal epithelial immune dendritic cell alterations in subtypes of dry eye disease: a pilot in vivo confocal microscopic study. Invest Ophthalmol Vis Sci. 2015; 56: 7179–7185. [CrossRef] [PubMed]
Colorado LH, Markoulli M, Edwards K. The relationship between corneal dendritic cells, corneal nerve morphology and tear inflammatory mediators and neuropeptides in healthy individuals. Curr Eye Res. 2019; 44: 840–848. [CrossRef] [PubMed]
Kowtharapu BS, Stachs O. Corneal cells: fine-tuning nerve regeneration. Curr Eye Res. 2020; 45: 291–302. [CrossRef] [PubMed]
Tepelus TC, Chiu GB, Huang J, et al. Correlation between corneal innervation and inflammation evaluated with confocal microscopy and symptomatology in patients with dry eye syndromes: a preliminary study. Graefes Arch Clin Exp Ophthalmol. 2017; 255: 1771–1778. [CrossRef] [PubMed]
Jamali A, Seyed-Razavi Y, Chao C, et al. Intravital multiphoton microscopy of the ocular surface: alterations in conventional dendritic cell morphology and kinetics in dry eye disease. Front Immunol. 2020; 11: 742. [CrossRef] [PubMed]
De Silva MEH, Zhang AC, Karahalios A, Chinnery HR, Downie LE. Laser scanning in vivo confocal microscopy (IVCM) for evaluating human corneal sub-basal nerve plexus parameters: protocol for a systematic review. BMJ Open. 2017; 7: e018646. [CrossRef] [PubMed]
Randon M, Aragno V, Abbas R, Liang H, Labbe A, Baudouin C. In vivo confocal microscopy classification in the diagnosis of meibomian gland dysfunction. Eye (Lond). 2019; 33: 754–760. [CrossRef] [PubMed]
Liang H, Baudouin C, Tahiri Joutei Hassani R, Brignole-Baudouin F, Labbe A. Photophobia and corneal crystal density in nephropathic cystinosis: an in vivo confocal microscopy and anterior-segment optical coherence tomography study. Invest Ophthalmol Vis Sci. 2015; 56: 3218–3225. [CrossRef] [PubMed]
Baudouin C, Brignole F, Becquet F, Pisella PJ, Goguel A. Flow cytometry in impression cytology specimens. A new method for evaluation of conjunctival inflammation. Invest Ophthalmol Vis Sci. 1997; 38: 1458–1464. [PubMed]
Brignole-Baudouin F, Riancho L, Ismail D, Deniaud M, Amrane M, Baudouin C. Correlation between the inflammatory marker HLA-DR and signs and symptoms in moderate to severe dry eye disease. Invest Ophthalmol Vis Sci. 2017; 58: 2438–2448. [CrossRef] [PubMed]
Leonardi A, Messmer EM, Labetoulle M, et al. Efficacy and safety of 0.1% ciclosporin A cationic emulsion in dry eye disease: a pooled analysis of two double-masked, randomised, vehicle-controlled phase III clinical studies. Br J Ophthalmol. 2019; 103: 125–131. [CrossRef] [PubMed]
Wolffsohn JS, Arita R, Chalmers R, et al. TFOS DEWS II diagnostic methodology report. Ocul Surf. 2017; 15: 539–574. [CrossRef] [PubMed]
Shiboski CH, Shiboski SC, Seror R, et al., International Sjogren's Syndrome Criteria Working, Group. 2016 American College of Rheumatology/European League Against Rheumatism classification criteria for primary Sjogren's syndrome: a consensus and data-driven methodology involving three international patient cohorts. Ann Rheum Dis. 2017; 76: 9–16. [CrossRef] [PubMed]
Giannaccare G, Pellegrini M, Sebastiani S, Moscardelli F, Versura P, Campos EC. In vivo confocal microscopy morphometric analysis of corneal subbasal nerve plexus in dry eye disease using newly developed fully automated system. Graefes Arch Clin Exp Ophthalmol. 2019; 257: 583–589. [CrossRef] [PubMed]
Xu J, Chen P, Yu C, Liu Y, Hu S, Di G. In vivo confocal microscopic evaluation of corneal dendritic cell density and subbasal nerve parameters in dry eye patients: a systematic review and meta-analysis. Front Med (Lausanne). 2021; 8: 578233. [CrossRef] [PubMed]
Shetty R, Sethu S, Deshmukh R, et al. Corneal dendritic cell density is associated with subbasal nerve plexus features, ocular surface disease index, and serum vitamin D in evaporative dry eye disease. Biomed Res Int. 2016; 2016: 4369750. [CrossRef] [PubMed]
Baudouin C, Irkec M, Messmer EM, et al. Clinical impact of inflammation in dry eye disease: proceedings of the ODISSEY group meeting. Acta Ophthalmol. 2018; 96: 111–119. [CrossRef] [PubMed]
de Paiva CS . Effects of aging in dry eye. Int Ophthalmol Clin. 2017; 57: 47–64. [CrossRef] [PubMed]
Pflugfelder SC, de Paiva CS. The pathophysiology of dry eye disease: what we know and future directions for research. Ophthalmology. 2017; 124: S4–S13. [CrossRef] [PubMed]
Rhee MK, Mah FS. Inflammation in dry eye disease: how do we break the cycle? Ophthalmology. 2017; 124: S14–S19. [CrossRef] [PubMed]
Aggarwal S, Kheirkhah A, Cavalcanti BM, Cruzat A, Jamali A, Hamrah P. Correlation of corneal immune cell changes with clinical severity in dry eye disease: an in vivo confocal microscopy study. Ocul Surf. 2021; 19: 183–189. [CrossRef] [PubMed]
Smedowski A, Tarnawska D, Orski M, et al. Cytoarchitecture of epithelial inflammatory infiltration indicates the aetiology of infectious keratitis. Acta Ophthalmol. 2017; 95: 405–413. [CrossRef] [PubMed]
Liang H, Kessal K, Rabut G, et al. Correlation of clinical symptoms and signs with conjunctival gene expression in primary Sjogren syndrome dry eye patients. Ocul Surf. 2019; 17: 516–525. [CrossRef] [PubMed]
Dartt DA, Willcox MD. Complexity of the tear film: importance in homeostasis and dysfunction during disease. Exp Eye Res. 2013; 117: 1–3. [CrossRef] [PubMed]
Situ P, Begley CG, Simpson TL. Effects of tear film instability on sensory responses to corneal cold, mechanical, and chemical stimuli. Invest Ophthalmol Vis Sci. 2019; 60: 2935–2941. [CrossRef] [PubMed]
Zhang J, Begley CG, Situ P, Simpson T, Liu H. A link between tear breakup and symptoms of ocular irritation. Ocul Surf. 2017; 15: 696–703. [CrossRef] [PubMed]
Muller LJ, Marfurt CF, Kruse F, Tervo TM. Corneal nerves: structure, contents and function. Exp Eye Res. 2003; 76: 521–542. [CrossRef] [PubMed]
Eguchi H, Hiura A, Nakagawa H, Kusaka S, Shimomura Y. Corneal nerve fiber structure, its role in corneal function, and its changes in corneal diseases. Biomed Res Int. 2017; 2017: 3242649. [CrossRef] [PubMed]
Labetoulle M, Baudouin C, Calonge M, et al. Role of corneal nerves in ocular surface homeostasis and disease. Acta Ophthalmol. 2019; 97: 137–145. [CrossRef] [PubMed]
Veres TZ, Rochlitzer S, Shevchenko M, et al. Spatial interactions between dendritic cells and sensory nerves in allergic airway inflammation. Am J Respir Cell Mol Biol. 2007; 37: 553–561. [CrossRef] [PubMed]
Hamrah P, Pavan-Langston D, Dana R. Herpes simplex keratitis and dendritic cells at the crossroads: lessons from the past and a view into the future. Int Ophthalmol Clin. 2009; 49: 53–62. [CrossRef] [PubMed]
Wang MTM, Muntz A, Mamidi B, Wolffsohn JS, Craig JP. Modifiable lifestyle risk factors for dry eye disease. Cont Lens Anterior Eye. 2021; 44: 101409. [CrossRef] [PubMed]
Ramamoorthy P, Khanal S, Nichols JJ. Inflammatory proteins associated with contact lens-related dry eye. Cont Lens Anterior Eye. 2022; 45: 101442. [CrossRef] [PubMed]
McCarron ME, Weinberg RL, Izzi JM, et al. Combining in vivo corneal confocal microscopy with deep learning-based analysis reveals sensory nerve fiber loss in acute simian immunodeficiency virus infection. Cornea. 2021; 40: 635–642. [CrossRef] [PubMed]
Setu MAK, Schmidt S, Musial G, Stern ME, Steven P. Segmentation and evaluation of corneal nerves and dendritic cells from in vivo confocal microscopy images using deep learning. Transl Vis Sci Technol. 2022; 11: 24. [CrossRef] [PubMed]
Figure 1.
 
Representative images of in vivo confocal microscopy at the level of the corneal sub-basal nerve plexus in patients with DED, along with the IVCM grading score. Cellular and sensory nerve morphometric criteria were used to score images. Dendritic cells (DCs) are indicated with yellow arrows highlighting the increase in IC density from scores of IC-0 to IC-3. Nerve alterations are considered according to their density and their morphological patterns, reflectivity, tortuosity, or both. ICs, inflammatory cells; ND, nerve density; NM, nerve morphology; NM1-T, tortuosity; NM1-R, reflectivity; NM-2, both reflectivity and tortuosity.
Figure 1.
 
Representative images of in vivo confocal microscopy at the level of the corneal sub-basal nerve plexus in patients with DED, along with the IVCM grading score. Cellular and sensory nerve morphometric criteria were used to score images. Dendritic cells (DCs) are indicated with yellow arrows highlighting the increase in IC density from scores of IC-0 to IC-3. Nerve alterations are considered according to their density and their morphological patterns, reflectivity, tortuosity, or both. ICs, inflammatory cells; ND, nerve density; NM, nerve morphology; NM1-T, tortuosity; NM1-R, reflectivity; NM-2, both reflectivity and tortuosity.
Figure 2.
 
Correlations between IVCM scores and individual clinical indicators as well as with conjunctival HLA-DR expression in patients with DED. Significant correlations between parameters are represented by a correlogram for all patients, combining AIDED and NAIDED (a), and by separating DED subgroups according to their autoimmune status in AIDED and NAIDED (b). Statistically significant Spearman's correlation coefficients (r) are highlighted in red for a positive correlation and in blue for a negative correlation, whereas the empty boxes represent nonsignificant correlations. The P values are indicated as follows: *P < 0.05; **P < 0.01, ***P < 0.001. HLA-DR, human leukocyte antigen-DR; IC, inflammatory cells; IVCM, in vivo confocal microscopy; ND, nerve density; NM, nerve morphology; OSDI, Ocular Surface Index; TBUT, tear break up-time.
Figure 2.
 
Correlations between IVCM scores and individual clinical indicators as well as with conjunctival HLA-DR expression in patients with DED. Significant correlations between parameters are represented by a correlogram for all patients, combining AIDED and NAIDED (a), and by separating DED subgroups according to their autoimmune status in AIDED and NAIDED (b). Statistically significant Spearman's correlation coefficients (r) are highlighted in red for a positive correlation and in blue for a negative correlation, whereas the empty boxes represent nonsignificant correlations. The P values are indicated as follows: *P < 0.05; **P < 0.01, ***P < 0.001. HLA-DR, human leukocyte antigen-DR; IC, inflammatory cells; IVCM, in vivo confocal microscopy; ND, nerve density; NM, nerve morphology; OSDI, Ocular Surface Index; TBUT, tear break up-time.
Figure 3.
 
Conjunctival expression of HLA-DR according to IVCM-ICsc, which is related to ICs. Comparison between low IVCM-ICsc (IC-0 to IC-2) and high IVCM-ICsc (IC-3 to IC-4) showed a significant increase in conjunctival expression of HLA-DR in all patients with DED (a), as well as in both subgroups (b). Error bars represent standard errors of the mean (SEM). Data are expressed as mean ± SEM, and nonparametric comparisons between groups using the Mann-Whitney test were performed, with significant P values as follows: *P < 0.05; **P < 0.01; ***P < 0.001. AIDED, autoimmune dry eye disease; DED, dry eye disease; NAIDED, non-autoimmune dry eye disease.
Figure 3.
 
Conjunctival expression of HLA-DR according to IVCM-ICsc, which is related to ICs. Comparison between low IVCM-ICsc (IC-0 to IC-2) and high IVCM-ICsc (IC-3 to IC-4) showed a significant increase in conjunctival expression of HLA-DR in all patients with DED (a), as well as in both subgroups (b). Error bars represent standard errors of the mean (SEM). Data are expressed as mean ± SEM, and nonparametric comparisons between groups using the Mann-Whitney test were performed, with significant P values as follows: *P < 0.05; **P < 0.01; ***P < 0.001. AIDED, autoimmune dry eye disease; DED, dry eye disease; NAIDED, non-autoimmune dry eye disease.
Figure 4.
 
Summary of correlations between IVCM score and clinical parameters among low and high IVCM scores. Statistically significant correlations between clinical parameters are presented, including clinical symptoms and signs (OSDI, Oxford score, Schirmer test, and TBUT). The significant Spearman's correlation factor r is indicated between each set of parameters. Positive correlation is represented by red lines, and negative correlation by blue lines. Correlation strength is proportional to the thickness of the lines.
Figure 4.
 
Summary of correlations between IVCM score and clinical parameters among low and high IVCM scores. Statistically significant correlations between clinical parameters are presented, including clinical symptoms and signs (OSDI, Oxford score, Schirmer test, and TBUT). The significant Spearman's correlation factor r is indicated between each set of parameters. Positive correlation is represented by red lines, and negative correlation by blue lines. Correlation strength is proportional to the thickness of the lines.
Table 1.
 
Demographic and Dry Eye Parameters
Table 1.
 
Demographic and Dry Eye Parameters
Table 2.
 
IVCM Grading Score Composition
Table 2.
 
IVCM Grading Score Composition
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×