Next Article in Journal
Case Report: Spontaneous Left Inferior Epigastric Artery Injury in a COVID-19 Female Patient Undergoing Anticoagulation Therapy
Next Article in Special Issue
Does PLEX® Elite 9000 OCT Identify and Characterize Most Posterior Pole Lesions in Highly Myopic Patients?
Previous Article in Journal
Pancreatic Neuroendocrine Neoplasms Larger than 4 cm: A Retrospective Observational Study of Surgery, Histology, and Outcome
Previous Article in Special Issue
Effect of Low-Temperature Preservation in Optisol-GS on Preloaded, Endothelium-Out DMEK Grafts
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Recovery of Corneal Innervation after Treatment in Dry Eye Disease: A Confocal Microscopy Study

by
Alberto Barros
1,2,
Javier Lozano-Sanroma
1,2,
Juan Queiruga-Piñeiro
1,2,
Luis Fernández-Vega Cueto
1,2,3,*,
Eduardo Anitua
4,
Ignacio Alcalde
1,2,* and
Jesús Merayo-Lloves
1,2,3
1
Instituto Universitario Fernández-Vega, Fundación de Investigación Oftalmológica, Universidad de Oviedo, 33012 Oviedo, Spain
2
Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
3
Department of Surgery and Medical-Surgical Specialities, Universidad de Oviedo, 33006 Oviedo, Spain
4
Biotechnology Institute (BTI), 01007 Vitoria, Spain
*
Authors to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(5), 1841; https://doi.org/10.3390/jcm12051841
Submission received: 31 January 2023 / Revised: 23 February 2023 / Accepted: 23 February 2023 / Published: 25 February 2023
(This article belongs to the Special Issue Imaging in Ophthalmology—Volume I)

Abstract

:
Purpose: To analyze the changes in corneal innervation by means of in vivo corneal confocal microscopy (IVCM) in patients diagnosed with Evaporative (EDE) and Aqueous Deficient Dry Eye (ADDE) and treated with a standard treatment for Dry Eye Disease (DED) in combination with Plasma Rich in Growth Factors (PRGF). Methods: Eighty-three patients diagnosed with DED were enrolled in this study and included in the EDE or ADDE subtype. The primary variables analyzed were the length, density and number of nerve branches, and the secondary variables were those related to the quantity and stability of the tear film and the subjective response of the patients measured with psychometric questionnaires. Results: The combined treatment therapy with PRGF outperforms the standard treatment therapy in terms of subbasal nerve plexus regeneration, significantly increasing length, number of branches and nerve density, as well as significantly improving the stability of the tear film (p < 0.05 for all of them), and the most significant changes were located in the ADDE subtype. Conclusions: the corneal reinnervation process responds in a different way depending on the treatment prescribed and the subtype of dry eye disease. In vivo confocal microscopy is presented as a powerful technique in the diagnosis and management of neurosensory abnormalities in DED.

1. Introduction

The cornea is one of the most densely innervated tissues in the human body, mainly by sensory and autonomic nerve fibers. In addition to the importance of its sensory functions, corneal nerves help maintain the functional integrity of the ocular surface by releasing trophic substances that promote epithelial homeostasis and by activating circuits in the brainstem that stimulate tear production and blinking [1]. Damage to these nerve endings, whether mechanical in the case of eye surgery, or caused by ocular and systemic diseases, can lead to long-term damage to the integrity of the ocular surface [1,2].
Dry Eye Disease (DED) is one of the most common diseases in ocular surface consultationss worldwide [3], and it is accompanied by discomfort or pain sensations [4]. The Tear Film and Ocular Surface Society (TFOS) Dry Eye Workshop (DEWS) II [4] defined DED 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 [4]. Two main subtypes of dry eye have been described [5]. In evaporative dry eye (EDE), tear hyperosmolarity is the result of excessive tear film evaporation in the presence of normal tear function, while in aqueous deficient dry eye (ADDE) hyperosmolarity is due to reduced tear secretion in the presence of a normal evaporation rate [6].
There is a growing interest in the study of neurosensory alterations of corneal innervation related with DED [6]. In vivo corneal confocal microscopy (IVCM) is a safe and noninvasive technique for the study and analysis of corneal innervation. Recently, several studies have used IVCM to analyze changes in the subbasal nerve plexus in DED [7,8,9], and also to evaluate the differences in this innervation between different types of dry eye [10,11]. This technique has been previously used to analyze corneal innervation in different ocular conditions, such as corneal dystrophies [12], trauma [13], infections [14], or in systemic diseases such as diabetes [15,16]. More recently, IVCM has been used to evaluate changes in the subbasal nerve plexus of patients affected by neurodegenerative diseases, such as Fibromyalgia [17,18], Parkinson’s disease [19,20], Multiple sclerosis [21,22,23] and even to evaluate small fiber neuropathy after viral infection with Sars-CoV-2 [24].
DEWS II established treatment strategies for DED to address tear film insufficiency (artificial tears), alterations of the palpebral margin (lid hygiene), inflammation (corticosteroids [25] immunosuppressants and immunomodulators such as Cyclosporine A, Tacrolimus and Lifitegrast [26]). Surgical approaches and nutritional supplements (diets, vitamin supplements) are also used to treat DED [27].
Artificial tears composed of blood derivatives have been gaining prominence in the treatment of DED, most notably Autologous Serum (AS), which was the first derivative of a patient’s own blood to be used for the treatment of DED [28,29]. In recent years, a type of blood-based eye drops has been described, known as PRGF–Endoret® (BTI, Vitoria, Spain), which is a plasma rich in growth factors, including epidermal growth factor (EGF), transforming growth factor–β1(TGF-β1), platelet-derived growth factor (PDGF), insulin-like growth factor I (IGF-I), vascular endothelial growth factor (VEGF), nerve growth factor (NGF), and fibronectin among others. In contrast to AS, PRGF–Endoret® is formulated without inflammatory cells such as leukocytes [30,31]. PRGF treatments have shown regenerative effects on the ocular surface epithelium in neurotrophic keratitis [32], persistent epithelial defects [33], and postoperative processes [34,35]. In addition, the safety and efficacy of PRGF for the treatment of DED have been previously demonstrated [36,37] and a clinical trial using PRGF–Endoret® compared with AS in the treatment of moderate and severe dry eye is currently under way, with results expected in 2023 [38].
However, little is known about the effect of PRGF treatment on the recovery of corneal innervation.
The purpose of this study was to analyze the changes in corneal innervation in patients diagnosed with evaporative and aqueous deficient dry eye and treated with a standard treatment for dry eye disease in combination with plasma rich in growth factors.

2. Methods

This observational retrospective, longitudinal study was conducted in accordance with the Declaration of Helsinki and approved by the Committee on Ethics in Medical Research of the Principality of Asturias with the code number 2022.167 of 11 May 2022. It follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). Prior to data collection, patients were informed about the purpose of the study and the procedures were read and signed by them.
Eighty-three patients with a diagnosis of DED were recruited in this study. Inclusion criteria were Ocular Surface Disease Index (OSDI) score over 13, indicating moderate grade or higher of the disease, and tear break up time less than 10 s.
In addition, subjects who had a Schirmer’s test of less than 5.5 mm were included in the subgroup of predominantly aqueous deficient dry eye (ADDE), while those above 5.5 mm were included in the predominantly—evaporative dry eye group (EDE) [6,39].
Other eye diseases that could indirectly affect corneal integrity were exclusion criteria (glaucoma, macular degeneration, previous ocular surgery procedures or corneal infections such as herpes virus, bacterial or fungal keratitis, adenovirus, and Acanthamoeba). Patients presenting systemic diseases that could cause alterations in corneal innervation such as Diabetes, Fibromyalgia, Parkinson, dysautonomia, etc. were also excluded.

2.1. In Vivo Confocal Microscopy (IVCM)

Patients were examined using a Heidelberg® Retina Tomograph III confocal microscope equipped with the Rostock Cornea Module (Heidelberg Engineering. Heidelberg, Germany) with a 670 nm wavelength Helium-Neon diode laser, 63x objective and numeric aperture of 0.9.
Before the beginning of the examination with the IVCM, topical anesthetic (Tetracaine 0.1% + Oxibuprocaíne; Alcon Cusí) was applied to the eye and a sterile cap (TomoCap©, Heidelberg Engineering) was attached to the lens of the microscope and a high viscosity gel (Recugel®, Baush & Lomb®, Vaughan, ON, Canada) was used as a bonding agent between the cap and the lens.
One eye of each patient was randomly selected (randomizer.org, accessed on 6 September 2022) and images of the corneal nerves of the selected eye were taken using the section mode in the central and paracentral cornea.
A total of 15 to 25 images of five non overlapping areas of each eye were selected.
The examination addressed the analysis of the entire corneal thickness from the epithelium to the anterior stroma, in order to make sure that the level of the sub basal nerve plexus was swept. The size of the images obtained was 384 × 384 pixel, which corresponds to an area of 400 × 400 µm.
The images were analyzed and quantified automatically with ACCMetrics© software (MA Dabbah, Imaging science and Biomedical engineering, Manchester, UK) [40,41].
This software reported the measurements of the following seven parameters: Corneal Nerve Fiber Density (CNFD), which shows the total number of nerves per mm2; Corneal Nerve Branch Density (CNBD), the number of first branches originating from primary axons per mm2; Corneal Nerve Fiber Length (CNFL), which measures the total length of all nerve fibers and branches in mm/mm2; Corneal Total Branch Density (CTBD), the total number of branches/mm2; Corneal Nerve Fiber Area (CNFA) in mm2/mm2; Corneal Nerve Fiber Width (CNFW), which shows the average nerve fiber width of the sub basal plexus in mm/mm2, and Corneal Nerve Fractal Dimension (CNFrD), which is an indicator of the structural complexity of the corneal nerve image (Figure 1).
The same images were also analyzed using the cell counter plugin of FIJI© image analysis software (ImageJ 1.53c: NIH, Bethesda, MD, USA) with the objective of quantify the incidence of neuromas (total number of neuromas per frame), beaded axons (count of the number of nerves which presented beaded axons per frame), and number of dendritic cells per frame of the central cornea. This part of the measurements was carried out in a semi-automatic way, in which the operator marked the presence of each of the disturbances in each image, and the Cell Counter plugin automatically calculated the total numbers [42].
The images were analyzed by a single experienced researcher. The final value used for each parameter was the average of the measure of all selected images of each patient.
To avoid any mistake in the classification of selected IVCM morphological alterations, once a pathological sign of the three items mentioned previously was located, the corneal structure was examined in detail with the aim of differentiating them from similar anatomical structures [43,44].
Both types of analysis with ACCMetrics® and ImageJ® software were applied to each of the images from all patients. The average of the values obtained for each parameter were used for statistical analysis.

2.2. Tear Film Break Up Time

To assess tear film stability, a drop of preservative-free 2% sodium fluorescein was instilled into the lower fornix of the patient’s eye. The eye was then observed at the slit lamp at low magnification and the patient was urged to blink several times and keep the eyelids open until dark areas were observed within the green staining provided by the fluorescein. The time between the last blink and the appearance of the dark areas was recorded.

2.3. Schirmer Test

To quantify tear production, the Schirmer test (Katena®, Denville, NJ, USA) was performed on all patients by placing the paper strips on the temporal part of the inner edge of the lower eyelid for 5 min after instillation of a drop of topical anesthetic to minimize reflex tearing [45,46]. After 5 min, the millimeters of impregnated strip were measured.

2.4. Diagnostic Questionnaires

The presence of symptoms of ocular surface disease as well as their perceived severity, were assessed with the Ocular Surface Disease Index (OSDI) and the severity and intensity scales of the Symptoms Analysis in Dry Eye (SANDE).

2.5. Treatment

The patients were divided into two groups according to the treatment therapy prescribed by the ocular surface unit of Fernández-Vega Ophthalmological Institute.
Thirty-two patients were treated with a DED treatment therapy consisting of a corticosteroid regimen with Fluorometholone 0.1% (FML®, Allergan©) in a descending pattern of 4 times a day for one week, three times a day for one week, twice a day for one week and once a day for one week, combined with ocular surface hydration with Trehalose 3% and sodium hyaluronate 0.15% (Thealoz Duo®, Thea, Milan, Italy) 4 times a week and eyelid hygiene once a day, both until the follow-up visit. This group was named as the standard treatment group.
Fifty-one patients were treated with the same treatment therapy as the previous group, plus an ocular surface regeneration treatment consisting of Plasma Rich in Growth Factors 4 times a day until 3 months.
According to manufacturer’s instructions, blood from this treatment group was collected into 9-mL tubes with 3.8% (wt/v) sodium citrate or in serum collection tubes (Z Serum Clot activator, Vacuette, GmbH, Kremsmünster, Austria). Blood samples were centrifuged at 580× g for 8 min at room temperature in an Endoret System centrifuge (BTI Biotechnology Institute, S.L., Miñano, Alava, Spain); the whole plasma column over the buffy coat was collected using Endoret ophthalmology kit (BTI Biotechnology Institute, S.L., Miñano, Alava, Spain) avoiding the layer containing leukocytes. Platelets and leukocytes counts were performed with a hematology analyzer (Micros 60, Horiba ABX, Montpellier, France). Plasma preparations were incubated with Endoret activator (BTI Biotechnology Institute©, S.L., Miñano, Alava, Spain) at 37 °C for 1 h and PRGF supernatants were filtered, aliquoted and stored at 80 °C until use. All procedures were performed under sterile conditions inside a laminar flow hold. The patients were instructed to keep the PRGF eye drops dispensers at −20 °C for a maximum of 3 months [47,48,49]. This group was named PRGF treatment group.
All patients repeated the same tests at the follow-up visit.

2.6. Statistical Analysis

The SPSS statistical software v. 22 for Windows (SPSS Inc., Chicago, IL, USA) was used for the analysis of the data. Values were expressed as mean ± standard error of the mean (SEM). Normality of the sample was checked with the Kolmogórov–Smirnov and Shapiro Wilk tests according to the sample size. The Student’s t-test and the Wilcoxon test were used to compare the means of the different study variables of paired samples according to the distribution of the data. In addition, the effect size was calculated with Cohen’s d for each of the variables in all study groups.

3. Results

This observational, longitudinal, and retrospective study involved 83 patients with diagnosis of Dry Eye Disease who have visited the Fernández-Vega Ophthalmological Institute between January 2020 and April 2022. Table 1 shows the demographic data; no statistically significant differences were found from the inclusion criteria for both groups.

3.1. General Results

3.1.1. Corneal Nerve Quantification

As shown in Table 2, the automatic analysis of corneal nerves using ACCMetrics® software showed that the morphology of the subbasal nerve plexus was not significantly altered in the standard group. The data revealed an increase in nerve branching (CNBD and CTBD) and fractal dimension (CNFrD), which was not significant in any of the parameters. The rest of the values extracted from the automatic analysis such as CNFD, CNFL, CNFW, CNFA saw slightly decreased values at follow-up with respect to the baseline visit, without being statistically significant for any of the morphological parameters.
The PRGF treatment group showed an evident increase in CNFD and CNFL (p < 0.001), CNBD, CNFA and Fractal Dimension (p < 0.005) and CTBD (p < 0.05).
Corneal Nerve Fiber Width did not show any differences.

3.1.2. Morphological Alterations and Cell Infiltration

The semi-automatic analysis of IVCM images using FIJI® software showed a significant reduction in the presence of dendritic cells for the standard treatment group (p < 0.05), as well as in the count of Axonal Beads for both groups (p < 0.005 for standard treatment group and p < 0.05 for PRGF treatment group).
Although the presence of neuromas was low in both groups, the changes observed were not significant after treatment.

3.1.3. Tear Film and Ocular Surface Disease Questionnaires

The assessment of tear quantity with the Schirmer test did not show statistically significant differences in either treatment group at the follow-up visit. Tear stability measured with the Fluorescein Break Up Time was significantly increased in the PRGF treatment group (p < 0.005) compared to the standard treatment group (p = 0.654).
The OSDI score decreased significantly for both the standard treatment group (p < 0.005) and the PRGF combination therapy group (p = 0.005).
The SANDE frequency and severity questionnaire score were also significantly decreased for both treatment groups (p < 0.001).

3.2. Subtypes of Dry Eye Disease

To study the response of corneal innervation according to the type of dry eye, the sample was divided into EDE and ADDE according to the measurement of tear quantity.

3.2.1. Difference between Subtypes of Dry Eye Disease

Baseline data were compared to identify differences between the two subtypes of dry eye disease studied. The CNFD values for the ADDE subtype was 15.007 ± 8.122 fibers per mm, while for the EDE group it was 18.218 ± 5.99 (p = 0.066). CNBD was 18.766 ± 16.323 branches per mm in the ADDE and 21.129 + 13.541 (p = 0.339) for the evaporative subgroup. For CNFL the values for the ADDE were 10.784 ± 4.228 mm per mm, and 12.185 ± 3.130 (p = 0.147) for the EDE. Differences were also not statistically significant for both groups in neuromas (p = 0.195), dendritic cells (p = 0.700) and axonal beadings (p = 0.861). For the ADDE group, the psychometric questionnaires showed an OSDI of 41.337 ± 23.638, SANDE frequency of 65.943 ± 28.673 and SANDE intensity of 60.188 ± 25.850, while for the EDE group the values were OSDI 38.400 ± 20.648 (p = 0.748), SANDE frequency 71.142 ± 26.297 (p = 0.326) and SANDE intensity of 65.535 ± 21.745 (p = 0.420).

3.2.2. Evaporative Dry Eye Subtype

Fifteen patients of this subtype of Dry Eye were treated with PRGF while fourteen patients were treated with the standard treatment group.
Baseline values were compared according to the assigned treatment, finding no significant differences for any of the treatment groups (p = 0.363 for CNFD, p = 0.692 for CNBD, p = 0.233 for CNFL, p = 0.234 for Schirmer, p = 0.870 for Fbut, p = 0.847 for dendritic cell count, p = 0.477 for neuromas count, p = 0.533 for Beadings count, p = 0.486 for OSDI score, p= 477 for neuromas count, p = 0.533 for Beadings count, and p = 0.062 for SANDE intensity questionnaire) apart from the SANDE frequency questionnaire which showed significant differences in baseline values according to treatment groups (p = 0.027).
As shown in Figure 2, nerve parameters such as density, length and number of branches increased slightly in the PRGF-treated group at the follow-up visit but were not statistically significant. The same values decreased for the standard treatment group, being significant for CNFD (p < 0.05) and for CNFL (p = 0.01).
The morphological alterations of nerves (neuromas and beadings) and cell infiltration (dendritic cells) showed no relevant differences in any of the parameters analyzed, apart from the dendritic cell count in the PRGF treatment group (p < 0.05). Although not significant, a certain increase in the presence of neuromas was observed at the follow-up visit for the PRGF treatment group.
Focusing on the tear film and psychometric questionnaires, results in Figure 3 showed that tear film volume was reduced was reduced for both treatment therapies, with the reduction being statistically significant for the standard treatment group (p = 0.045).
Tear break-up time did not change significantly for either treatment group at the follow-up visit.
The OSDI questionnaire remained significantly unchanged at the follow-up visit in both the standard and combined PRGF treatment groups.
For the SANDE frequency and intensity questionnaires, reductions were significant for both groups of treatment at the follow-up visit (p < 0.005).

3.2.3. Aqueous Deficient Dry Eye Subtype

Thirty-three patients of this subtype of Dry Eye were treated with PRGF while eighteen patients were treated with the standard treatment group. Data for one patient in the PRGF treatment group was estimated as a missing value because no post-treatment tear volume value was available.
As in the EDE subtype, baseline values were compared according to treatment type and no significant differences were found for CNBD (p = 0.148), FBut (p = 0.749), Schirmer (p = 0.232), dendritic cell count (p = 0.916), neuromas (p = 0.619), OSDI score (p = 0.286), SANDE frequency (p = 0.798) and SANDE intensity (p = 0.250). However, significant differences in these values were identified for CNFD (p = 0.001), CNFL (p = 0.003) and axonal beads count (p = 0.013).
In this subtype of DED, Figure 4 shows a statistically significant increase for length, density, and number of nerve branches (p < 0.05 for all of them) after combined treatment with PRGF, compared to the standard treatment group, which also showed an increase, without statistical significance.
In the case of morphological alterations and presence of inflammation, axonal beads significantly decreased in the standard treatment group (p = 0.05). No other relevant differences were observed in any of the parameters analyzed, although their values decreased at the follow-up visit in both treatment subgroups.
The tear film study showed (Figure 5) an increase for the combined PRGF treatment subgroup and the standard treatment subgroup, but this was not significant for either of them.
An increase in tear break-up time was found in the PRGF subgroup (p = 0.005) while the same value decreased slightly for the standard treatment subgroup (p = 0.248).
As for the psychometric questionnaires, both OSDI and SANDE frequency and intensity had significantly reduced values at the follow-up visit, with p < 0.005 for each of them in both treatment subgroups.

3.3. Effect Size

To answer the question of how big the change in the analyzed variables after each of the treatments was, the effect size was calculated for each of them according to the subtype of DED, comparing the values obtained at the baseline visit with those at the follow-up visit. (Table 3).
For the EDE subtype, the standard treatment had a negative effect for CNFD, CNBD and CNFD, and for nerve length was at the edge of the medium size. With PRGF treatment, the effect size, although low, was positive for the same variables.
As for morphological alterations of the subbasal nerve plexus in this type of DED, the effect size was negative for all of them, apart from neuromas in the PRGF treatment group, although with a low effect. The effect size value was at the limit of the medium consideration for dendritic cells in the PRGF treatment group.
The tear film study did not reveal a significant effect size on tear break-up time. However, a negative effect of medium size on tear quantity—quantified by Schirmer’s test—was observed for the standard treatment group.
No significant effect size was observed in both treatment groups for the OSDI score, while for the SANDE questionnaires this value was medium-high for both groups and higher for the PRGF treatment group.
In the aqueous deficient dry eye subtype, the two treatment groups had a positive effect on CNFD, CNBD and CNFL, with Cohen’s d being higher for the PRGF treatment group for these three variables. The effect was negative for all of the three subbasal nerve plexus morphological alterations studied, with a value of 0.756—medium-high effect size—for axonal bead count in the standard treatment group.
Tear analysis for this dry eye subtype showed higher Cohen’s d values in the PRGF treatment group. Note the negative effect for BUT in the standard treatment group.
The effect size was medium for the OSDI score in both treatment groups and for the SANDE questionnaires in the standard treatment group, while in the PRGF treatment group the effect found was high.

4. Discussion

We conducted a study including 83 eyes of 83 patients diagnosed with DED to compare the changes in corneal innervation when treated with a standard treatment and the same treatment in combination with plasma rich in growth factors.
The results of the study suggested that the combined treatment therapy with PRGF outperforms the standard treatment therapy in terms of subbasal nerve plexus regeneration, significantly increasing length, number of branches and nerve density, as well as significantly improving the stability of the tear film analyzed with fluorescein BUT.
Our findings were consistent with previous studies analyzing the response of corneal innervation to different topical treatments.
The positive effect of hematic derivatives on the ocular surface has been studied repeatedly. Fox et al. [28] described in 1984 an improvement in the symptomatology and objectivity of fifteen patients treated with artificial tears made from the patient’s serum, which had not improved with conventional artificial tears. These results were also confirmed by other authors, including a randomized clinical trial [50], which is consistent with our results in a significant decrease in OSDI, improvement in BUT and also found no significant changes in the Schirmer’s measurement.
The effect that hematic derivatives induce in corneal innervation has also been the subject of previous studies. In this regard, there has been some discrepancy between publications. Giannaccare et al. [51] found a significant increase in CNFD, CNFL and CNFrD in patients treated with peripheral allogenic blood serum and umbilical cord blood serum in their prospective study, although with a short follow-up period. On the other hand, Mahelkova’s prospective work [52] found no differences in subbasal plexus nerve fibers in patients treated with autologous serum tears. These discrepancies may be explained by the difference in measuring devices, the cause of the DED, the sample size or the type of hematic derivative.
PRGF–Endoret® is an autologous platelet plasma rich in growth factors, standardized to reduce the proinflammatory cytokines in its formulation by removing leukocytes and by a heating treatment [53]. This feature would help to treat DED, as it is associated with a chronic inflammatory process [54].
Due to the high concentration in growth factors, PRGF-based eye drops promote a range of biological events, including cell proliferation, migration, and differentiation, while protecting against microbial contamination on the ocular surface [47,55,56]. A higher concentration of most growth factors was found in PRGF formulations than in AS [57]. Among growth factors, NGF has been shown to stimulate corneal epithelium proliferation and promote subbasal nerve plexus regeneration [58].
Our results showed no statistically significant differences in the subbasal nerve plexus between the two DED subtypes analyzed, with smaller values for ADDE. Other studies found significant reductions in corneal nerves in ADDE versus EDE using a semi-automated quantification method that reports higher values for these parameters than we obtained with the technique used in our study [10]. However, when we grouped our sample into the two dry eye subtypes according to the treatment prescribed, we found significant differences in the baseline values of CNFD and CNFL of the ADDE, with lower values in the subgroup of combined treatment with PRGF. This treatment subgroup also had higher OSDI and SANDE values and previous studies found a negative correlation between OSDI and CNFD [59].
This may be explained by the fact that in professional practice within the ocular surface unit, the ophthalmologist could have prescribed combined treatment with plasma rich in growth factors to patients who showed a higher subjective severity as measured by psychometric questionnaires, based on his previous experience and research in this field [32,35,55,60].
On the other hand, we found no significant changes in corneal innervation at the follow-up visit in the standard treatment group, and even a slight decrease in CNFL and CNFD. There are some discrepancies between previous studies regarding how corticosteroid [61,62] and immunomodulation-based treatments [63,64] affect the subbasal nerve plexus in DED. Reduction in subbasal nerves, as seen in cases of DED treated with cyclosporine A [64], may be explained by reduced NGF production and other cytokines, such as IL-1 and TNF-α. Although it is known that these treatments act by intervening in the inflammatory process associated with the disease, their mechanisms of action on corneal innervation remains unclear.
Consistent with a reduction of inflammation, we observed a significant reduction in the dendritic cell count in the standard treatment group. Villani et al. [62] also found no significant changes in the subbasal nerve plexus in their open-label and masked study, using a semi-automated nerve fiber quantification system. This study and that of Li Bei [65] are also consistent with ours in the reduction of dendritic cells after treatment with topical steroids.
The DEWS established at its first meeting in 2007 that hyperosmolarity and tear film instability are the starting point for the development of dry eye disease [66] The main cause of EDE is known to be tear film disruption accompanied by Meibomian gland dysfunction, and reduced tear secretion secondary to age-related degeneration of the lacrimal gland is the main cause of lacrimal secretion deficit dry eye [6]. It is therefore difficult to draw the line between dry eye due to a lack of secretion and evaporative dry eye, so it would be more accurate to talk about which is the predominant category in each case [5].
Our results suggest that the combined treatment with PRGF in DED contributes to the creation of the ocular surface regeneration scenario, in which corneal regeneration is promoted [3,67]. When this regenerative scenario occurs in ADDE, it induces an improvement in the stability and quantity of the tear film, as well as anti-inflammatory agents and growth factors, which create the perfect context for the corneal reinnervation process, and we observed a significant increase in this process compared to the group treated with standard treatment.
However, when the scenario occurs in EDE, the treatment also contributes to the regeneration of the ocular surface, but without solving one of the main problems which is the alteration of the eyelids and dysfunction of the Meibomian glands, which will continue to generate a situation of evaporative excess and instability of the tear film, which are described as one of the main pathogenic factors of the vicious circle in ocular surface disease [67].
As a limitation of the study, in the analyzed sample, all the patients were prescribed for eyelid hygiene protocol, but the condition of the eyelids was not monitored, so it could not be concluded whether the alterations at this level were resolved at the follow-up visit. This may explain why the most significant changes at the level of the sub basal nerve plexus are in the ADDE and raises the need for future studies quantifying the status of the eyelids and the degree of Meibomian gland dysfunction. Moreover, all the patients included in our study had a BUT below 10 s, so all had an evaporative component, and were subsequently grouped according to the reduction in tear secretion, so our study is limited by not having subjects with BUT greater than 10 s accompanied by low Schirmer values. The sample size, although in line with other published studies, can be considered small and unrepresentative and our study is also limited in this aspect, so prospective studies with larger samples are needed.

5. Conclusions

The corneal reinnervation process responds in a different way depending on the treatment prescribed and the subtype of dry eye disease. This process can be monitored and quantified non-invasively and in vivo using confocal microscopy, which is presented as a technique that can be useful in the diagnosis and management of one of the five main pathogenic factors of ocular surface diseases, of which DED is one of the most important; this can contribute to personalized treatment therapies for the disease.

Author Contributions

Conceptualization, J.M.-L. and L.F.-V.C.; methodology, A.B., J.Q.-P. and J.L.-S.; software, A.B; validation, L.F.-V.C., J.M.-L. and I.A.; formal analysis, A.B.; investigation, A.B.; resources, L.F.-V.C.; data curation, A.B., J.Q.-P. and J.L.-S.; writing—original draft preparation, A.B.; writing—review and editing, A.B. and I.A.; visualization, I.A.; supervision, E.A., I.A. and J.M.-L.; project administration, L.F.-V.C.; funding acquisition, L.F.-V.C. and J.M.-L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a grant RD21/0002/0041 (Instituto de Salud Carlos III).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Committee on Ethics in Medical Research of the Principality of Asturias with the code number 2022.167 of 11 May 2022.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All the obtained data used to support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors want to especially acknowledge the devoted work of medical and technical staff at the Instituto Oftalmológico Fernández-Vega and for valuable comments and guidance of the research team at the Fundación de Investigación Oftalmológica.

Conflicts of Interest

The authors declare that there is no conflict of interest.

References

  1. Marfurt, C.F.; Cox, J.; Deek, S.; Dvorscak, L. Anatomy of the Human Corneal Innervation. Exp. Eye Res. 2010, 90, 478–492. [Google Scholar] [CrossRef] [PubMed]
  2. Müller, L.J.; Marfurt, C.F.; Kruse, F.; Tervo, T.M. Corneal Nerves: Structure, Contents and Function. Exp. Eye Res. 2003, 76, 521–542. [Google Scholar] [CrossRef] [PubMed]
  3. Rolando, M.; Merayo-Lloves, J. Management Strategies for Evaporative Dry Eye Disease and Future Perspective. Curr. Eye Res. 2022, 47, 813–823. [Google Scholar] [CrossRef] [PubMed]
  4. Craig, J.P.; Nichols, K.K.; Akpek, E.K.; Caffery, B.; Dua, H.S.; Joo, C.K.; Liu, Z.; Nelson, J.D.; Nichols, J.J.; Tsubota, K.; et al. TFOS DEWS II Definition and Classification Report. Ocul. Surf. 2017, 15, 276–283. [Google Scholar] [CrossRef] [PubMed]
  5. Wolffsohn, J.S.; Arita, R.; Chalmers, R.; Djalilian, A.; Dogru, M.; Dumbleton, K.; Gupta, P.K.; Karpecki, P.; Lazreg, S.; Pult, H.; et al. TFOS DEWS II Diagnostic Methodology Report. Ocul. Surf. 2017, 15, 539–574. [Google Scholar] [CrossRef]
  6. Bron, A.J.; de Paiva, C.S.; Chauhan, S.K.; Bonini, S.; Gabison, E.E.; Jain, S.; Knop, E.; Markoulli, M.; Ogawa, Y.; Perez, V.; et al. TFOS DEWS II Pathophysiology Report. Ocul. Surf. 2017, 15, 438–510. [Google Scholar] [CrossRef]
  7. Matsumoto, Y.; Ibrahim, O.M.A. Application of in Vivo Confocal Microscopy in Dry Eye Disease. Invest. Ophthalmol. Vis. Sci. 2018, 59, DES41–DES47. [Google Scholar] [CrossRef] [Green Version]
  8. Said, D.G.; Liu, Y.; Chou, Y.; Dong, X.; Liu, Z.; Jiang, X.; Hao, R.; Li, X. Corneal Subbasal Nerve Analysis Using In Vivo Confocal Microscopy in Patients with Dry Eye: Analysis and Clinical Correlations. Cornea 2019, 38, 1253–1258. [Google Scholar] [CrossRef]
  9. Ma, B.; Xie, J.; Yang, T.; Su, P.; Liu, R.; Sun, T.; Zhou, Y.; Wang, H.; Feng, X.; Ma, S.; et al. Quantification of Increased Corneal Subbasal Nerve Tortuosity in Dry Eye Disease and Its Correlation with Clinical Parameters. Transl. Vis. Sci. Technol. 2021, 10, 26. [Google Scholar] [CrossRef]
  10. Cox, S.M.; Kheirkhah, A.; Aggarwal, S.; Abedi, F.; Cavalcanti, B.M.; Cruzat, A.; Hamrah, P. Alterations in Corneal Nerves in Different Subtypes of Dry Eye Disease: An in Vivo Confocal Microscopy Study. Ocul. Surf. 2021, 22, 135–142. [Google Scholar] [CrossRef]
  11. Matsumoto, Y.; Ibrahim, O.M.A.; Kojima, T.; Dogru, M.; Shimazaki, J.; Tsubota, K. Corneal In Vivo Laser-Scanning Confocal Microscopy Findings in Dry Eye Patients with Sjögren’s Syndrome. Diagnostics 2020, 10, 497. [Google Scholar] [CrossRef]
  12. Ahuja, Y.; Baratz, K.H.; McLaren, J.W.; Bourne, W.M.; Patel, S.V. Decreased Corneal Sensitivity and Abnormal Corneal Nerves in Fuchs Endothelial Dystrophy. Cornea 2012, 31, 1257–1263. [Google Scholar] [CrossRef] [Green Version]
  13. Pal-Ghosh, S.; Tadvalkar, G.; Stepp, M.A. Alterations in Corneal Sensory Nerves During Homeostasis, Aging, and After Injury in Mice Lacking the Heparan Sulfate Proteoglycan Syndecan-1. Invest. Ophthalmol. Vis. Sci. 2017, 58, 4959–4975. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Chopra, R.; Mulholland, P.J.; Hau, S.C. In Vivo Confocal Microscopy Morphological Features and Cyst Density in Acanthamoeba Keratitis. Am. J. Ophthalmol. 2020, 217, 38–48. [Google Scholar] [CrossRef]
  15. Zhao, H.; He, Y.; Ren, Y.R.; Chen, B.H. Corneal Alteration and Pathogenesis in Diabetes Mellitus. Int. J. Ophthalmol. 2019, 12, 1939–1950. [Google Scholar] [CrossRef]
  16. Tummanapalli, S.S.; Issar, T.; Kwai, N.; Poynten, A.; Krishnan, A.V.; Willcox, M.; Markoulli, M. Association of Corneal Nerve Loss with Markers of Axonal Ion Channel Dysfunction in Type 1 Diabetes. Clin. Neurophysiol. 2020, 131, 145–154. [Google Scholar] [CrossRef]
  17. Oudejans, L.; He, X.; Niesters, M.; Dahan, A.; Brines, M.; van Velzen, M. Cornea Nerve Fiber Quantification and Construction of Phenotypes in Patients with Fibromyalgia. Sci. Rep. 2016, 6, 23573. [Google Scholar] [CrossRef] [Green Version]
  18. Klitsch, A.; Evdokimov, D.; Frank, J.; Thomas, D.; Saffer, N.; Meyer Zu Altenschildesche, C.; Sisignano, M.; Kampik, D.; Malik, R.A.; Sommer, C.; et al. Reduced Association between Dendritic Cells and Corneal Sub-Basal Nerve Fibers in Patients with Fibromyalgia Syndrome. J. Peripher. Nerv. Syst. 2020, 25, 9–18. [Google Scholar] [CrossRef] [Green Version]
  19. Badian, R.A.; Allgeier, S.; Scarpa, F.; Andréasson, M.; Bartschat, A.; Mikut, R.; Colonna, A.; Bellisario, M.; Utheim, T.P.; Köhler, B.; et al. Wide-Field Mosaics of the Corneal Subbasal Nerve Plexus in Parkinson’s Disease Using in Vivo Confocal Microscopy. Sci. Data 2021, 8, 306. [Google Scholar] [CrossRef]
  20. Jeziorska, M.; Atkinson, A.; Kass-Iliyya, L.; Kobylecki, C.; Gosal, D.; Marshall, A.; Malik, R.A.; Silverdale, M. Small Fibre Neuropathy in Parkinson’s Disease: Comparison of Skin Biopsies from the More Affected and Less Affected Sides. J. Parkinsons Dis. 2019, 9, 761–765. [Google Scholar] [CrossRef] [Green Version]
  21. Petropoulos, I.N.; Kamran, S.; Li, Y.; Khan, A.; Ponirakis, G.; Akhtar, N.; Deleu, D.; Shuaib, A.; Malik, R.A. Corneal Confocal Microscopy: An Imaging Endpoint for Axonal Degeneration in Multiple Sclerosis. Invest Ophthalmol. Vis. Sci. 2017, 58, 3677–3681. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Bitirgen, G.; Akpinar, Z.; Uca, A.U.; Ozkagnici, A.; Petropoulos, I.N.; Malik, R.A. Progressive Loss of Corneal and Retinal Nerve Fibers in Patients with Multiple Sclerosis: A 2-Year Follow-up Study. Transl. Vis. Sci. Technol. 2020, 9, 37. [Google Scholar] [CrossRef]
  23. Testa, V.; de Santis, N.; Scotto, R.; della Giustina, P.; Ferro Desideri, L.; Cellerino, M.; Cordano, C.; Inglese, M.; Uccelli, A.; Vagge, A.; et al. Corneal Epithelial Dendritic Cells in Patients with Multiple Sclerosis: An in Vivo Confocal Microscopy Study. J. Clin. Neurosci. 2020, 81, 139–143. [Google Scholar] [CrossRef] [PubMed]
  24. Barros, A.; Queiruga-Piñeiro, J.; Lozano-Sanroma, J.; Alcalde, I.; Gallar, J.; Fernández-Vega Cueto, L.; Alfonso, J.F.; Quirós, L.M.; Merayo-Lloves, J. Small Fiber Neuropathy in the Cornea of Covid-19 Patients Associated with the Generation of Ocular Surface Disease. Ocul. Surf. 2022, 23, 40–48. [Google Scholar] [CrossRef] [PubMed]
  25. Kallab, M.; Szegedi, S.; Hommer, N.; Stegmann, H.; Kaya, S.; Werkmeister, R.M.; Schmidl, D.; Schmetterer, L.; Garhöfer, G. Topical Low Dose Preservative-Free Hydrocortisone Reduces Signs and Symptoms in Patients with Chronic Dry Eye: A Randomized Clinical Trial. Adv. Ther. 2020, 37, 329–341. [Google Scholar] [CrossRef] [Green Version]
  26. Leonardi, A.; van Setten, G.; Amrane, M.; Ismail, D.; Garrigue, J.-S.; Figueiredo, F.C.; Baudouin, C. Efficacy and Safety of 0.1% Cyclosporine a Cationic Emulsion in the Treatment of Severe Dry Eye Disease: A Multicenter Randomized Trial. Eur. J. Ophthalmol. 2016, 26, 287–296. [Google Scholar] [CrossRef] [Green Version]
  27. Giannaccare, G.; Pellegrini, M.; Sebastiani, S.; Bernabei, F.; Roda, M.; Taroni, L.; Versura, P.; Campos, E.C. Efficacy of Omega-3 Fatty Acid Supplementation for Treatment of Dry Eye Disease: A Meta-Analysis of Randomized Clinical Trials. Cornea 2019, 38, 565–573. [Google Scholar] [CrossRef]
  28. Fox, R.I.; Chan, R.; Michelson, J.B.; Belmont, J.B.; Michelson, P.E. Beneficial Effect of Artificial Tears Made with Autologous Serum in Patients with Keratoconjunctivitis Sicca. Arthritis Rheum. 1984, 27, 459–461. [Google Scholar] [CrossRef]
  29. Shtein, R.M.; Shen, J.F.; Kuo, A.N.; Hammersmith, K.M.; Li, J.Y.; Weikert, M.P. Autologous Serum-Based Eye Drops for Treatment of Ocular Surface Disease: A Report by the American Academy of Ophthalmology. Ophthalmology 2020, 127, 128–133. [Google Scholar] [CrossRef]
  30. Anitua, E.; Muruzabal, F.; de la Fuente, M.; Riestra, A.; Merayo-Lloves, J.; Orive, G. PRGF Exerts More Potent Proliferative and Anti-Inflammatory Effects than Autologous Serum on a Cell Culture Inflammatory Model. Exp. Eye. Res. 2016, 151, 115–121. [Google Scholar] [CrossRef]
  31. Anitua, E.; Muruzabal, F. PRGF in Equine Corneal Cells: A Standardised Protocol Is the Key to Achieve Accurate Results. Equine Vet. J. 2018, 50, 274–275. [Google Scholar] [CrossRef]
  32. Sanchez-Avila, R.M.; Merayo-Lloves, J.; Riestra, A.C.; Fernandez-Vega Cueto, L.; Anitua, E.; Begoña, L.; Muruzabal, F.; Orive, G. Treatment of Patients with Neurotrophic Keratitis Stages 2 and 3 with Plasma Rich in Growth Factors (PRGF-Endoret) Eye-Drops. Int. Ophthalmol. 2018, 38, 1193–1204. [Google Scholar] [CrossRef]
  33. Lopez-Plandolit, S.; Morales, M.C.; Freire, V.; Etxebarria, J.; Duran, J.A. Plasma Rich in Growth Factors as a Therapeutic Agent for Persistent Corneal Epithelial Defects. Cornea 2010, 29, 843–848. [Google Scholar] [CrossRef]
  34. Ibares-Frias, L.; Gallego-Munoz, P.; Orive, G.; Anitua, E.; Cantalapiedra-Rodriguez, R.; Merayo-Lloves, J.; Martinez-Garcia, M.C. Potential Effect of Plasma Rich in Growth Factors-Endoret in Stromal Wound Healing in Additive Surgery. Ophthalmic. Res. 2020, 63, 203–212. [Google Scholar] [CrossRef]
  35. Sanchez-Avila, R.M.; Merayo-Lloves, J.; Fernandez, M.L.; Rodriguez-Gutierrez, L.A.; Jurado, N.; Muruzabal, F.; Orive, G.; Anitua, E. Plasma Rich in Growth Factors for the Treatment of Dry Eye after LASIK Surgery. Int. J. Mol. Sci. 2018, 60, 80–86. [Google Scholar] [CrossRef]
  36. Merayo-Lloves, J.; Sanchez-Avila, R.M.; Riestra, A.C.; Anitua, E.; Begoña, L.; Orive, G.; Fernandez-Vega, L. Safety and Efficacy of Autologous Plasma Rich in Growth Factors Eye Drops for the Treatment of Evaporative Dry Eye. Ophthalmic. Res. 2016, 56, 68–73. [Google Scholar] [CrossRef]
  37. Lopez-Plandolit, S.; Morales, M.C.; Freire, V.; Grau, A.E.; Duran, J.A. Efficacy of Plasma Rich in Growth Factors for the Treatment of Dry Eye. Cornea 2011, 30, 1312–1317. [Google Scholar] [CrossRef]
  38. Jongkhajornpong, P.; Numthavaj, P.; Anothaisintawee, T.; Lekhanont, K.; Mckay, G.; Attia, J.; Thakkinstian, A. Comparison of Treatment Efficacy between 100% Platelet-Rich Plasma and 100% Serum Eye Drops in Moderate-to-Severe Dry Eye Disease: A Randomised Controlled Trial Protocol. BMJ Open 2021, 11, 479. [Google Scholar] [CrossRef]
  39. Willcox, M.D.P.; Argueso, P.; Georgiev, G.A.; Holopainen, J.M.; Laurie, G.W.; Millar, T.J.; Papas, E.B.; Rolland, J.P.; Schmidt, T.A.; Stahl, U.; et al. TFOS DEWS II Tear Film Report. Ocul. Surf. 2017, 15, 366–403. [Google Scholar] [CrossRef] [Green Version]
  40. Dabbah, M.A.; Graham, J.; Petropoulos, I.; Tavakoli, M.; Malik, R.A. Dual-Model Automatic Detection of Nerve-Fibres in Corneal Confocal Microscopy Images. Med. Image Comput. Comput. Assist. Interv. 2010, 13, 300–307. [Google Scholar] [CrossRef] [Green Version]
  41. Petropoulos, I.N.; Manzoor, T.; Morgan, P.; Fadavi, H.; Asghar, O.; Alam, U.; Ponirakis, G.; Dabbah, M.A.; Chen, X.; Graham, J.; et al. Repeatability of in Vivo Corneal Confocal Microscopy to Quantify Corneal Nerve Morphology. Cornea 2013, 32, 83–89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. O’brien, J.; Hayder, H.; Peng, C. Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins. J. Vis. Exp. 2016, 117, e54719. [Google Scholar] [CrossRef]
  43. Stepp, M.A.; Pal-Ghosh, S.; Downie, L.E.; Zhang, A.C.; Chinnery, H.R.; Machet, J.; di Girolamo, N. Corneal Epithelial “Neuromas”: A Case of Mistaken Identity? Cornea 2020, 39, 930–934. [Google Scholar] [CrossRef] [PubMed]
  44. Moein, H.R.; Akhlaq, A.; Dieckmann, G.; Abbouda, A.; Pondelis, N.; Salem, Z.; Müller, R.T.; Cruzat, A.; Cavalcanti, B.M.; Jamali, A.; et al. Visualization of Microneuromas by Using in Vivo Confocal Microscopy: An Objective Biomarker for the Diagnosis of Neuropathic Corneal Pain? Ocular Surf. 2020, 18, 651–656. [Google Scholar] [CrossRef]
  45. Li, N.; Deng, X.-G.; He, M.-F. Comparison of the Schirmer I Test with and without Topical Anesthesia for Diagnosing Dry Eye. Int. J. Ophthalmol. 2012, 5, 478–481. [Google Scholar] [CrossRef]
  46. Tsubota, K.; Kaido, M.; Yagi, Y.; Fujihara, T.; Shimmura, S. Diseases Associated with Ocular Surface Abnormalities: The Importance of Reflex Tearing. Br. J. Ophthalmol. 1999, 83, 89–91. [Google Scholar] [CrossRef] [Green Version]
  47. Anitua, E.; Muruzabal, F.; de la Fuente, M.; Merayo, J.; Duran, J.; Orive, G. Plasma Rich in Growth Factors for the Treatment of Ocular Surface Diseases. Curr. Eye Res. 2016, 41, 875–882. [Google Scholar] [CrossRef]
  48. Anitua, E.; de la Fuente, M.; Riestra, A.; Merayo-Lloves, J.; Muruzábal, F.; Orive, G. Preservation of Biological Activity of Plasma and Platelet-Derived Eye Drops After Their Different Time and Temperature Conditions of Storage. Cornea 2015, 34, 1144–1148. [Google Scholar] [CrossRef]
  49. Anitua, E.; de la Fuente, M.; Muruzabal, F.; Riestra, A.; Merayo-Lloves, J.; Orive, G. Plasma Rich in Growth Factors (PRGF) Eye Drops Stimulates Scarless Regeneration Compared to Autologous Serum in the Ocular Surface Stromal Fibroblasts. Exp. Eye Res. 2015, 135, 118–126. [Google Scholar] [CrossRef]
  50. Celebi, A.R.C.; Ulusoy, C.; Mirza, G.E. The Efficacy of Autologous Serum Eye Drops for Severe Dry Eye Syndrome: A Randomized Double-Blind Crossover Study. Graefes Arch. Clin. Exp. Ophthalmol. 2014, 252, 619–626. [Google Scholar] [CrossRef]
  51. Giannaccare, G.; Pellegrini, M.; Bernabei, F.; Moscardelli, F.; Buzzi, M.; Versura, P.; Campos, E.C. In Vivo Confocal Microscopy Automated Morphometric Analysis of Corneal Subbasal Nerve Plexus in Patients With Dry Eye Treated With Different Sources of Homologous Serum Eye Drops. Cornea 2019, 38, 1412–1417. [Google Scholar] [CrossRef]
  52. Mahelkova, G.; Jirsova, K.; Seidler Stangova, P.; Palos, M.; Vesela, V.; Fales, I.; Jiraskova, N.; Dotrelova, D. Using Corneal Confocal Microscopy to Track Changes in the Corneal Layers of Dry Eye Patients after Autologous Serum Treatment. Clin. Exp. Optom. 2017, 100, 243–249. [Google Scholar] [CrossRef]
  53. Anitua, E.; Muruzabal, F.; de la Fuente, M.; Merayo-Lloves, J.; Orive, G. Effects of Heat-Treatment on Plasma Rich in Growth Factors-Derived Autologous Eye Drop. Exp. Eye Res. 2014, 119, 27–34. [Google Scholar] [CrossRef]
  54. Periman, L.M.; Perez, V.L.; Saban, D.R.; Lin, M.C.; Neri, P. The Immunological Basis of Dry Eye Disease and Current Topical Treatment Options. J. Ocul. Pharmacol. Ther. 2020, 36, 137–146. [Google Scholar] [CrossRef] [Green Version]
  55. Anitua, E.; Muruzabal, F.; Alcalde, I.; Merayo-Lloves, J.; Orive, G. Plasma Rich in Growth Factors (PRGF-Endoret) Stimulates Corneal Wound Healing and Reduces Haze Formation after PRK Surgery. Exp. Eye Res. 2013, 115, 153–161. [Google Scholar] [CrossRef]
  56. Anitua, E.; Sanchez, M.; Merayo-Lloves, J.; de la Fuente, M.; Muruzabal, F.; Orive, G. Plasma Rich in Growth Factors (PRGF-Endoret) Stimulates Proliferation and Migration of Primary Keratocytes and Conjunctival Fibroblasts and Inhibits and Reverts TGF-Beta1-Induced Myodifferentiation. Invest. Ophthalmol. Vis. Sci. 2011, 52, 6066–6073. [Google Scholar] [CrossRef]
  57. Anitua, E.; Muruzabal, F.; Tayebba, A.; Riestra, A.; Perez, V.L.; Merayo-Lloves, J.; Orive, G. Autologous Serum and Plasma Rich in Growth Factors in Ophthalmology: Preclinical and Clinical Studies. Acta Ophthalmol. 2015, 93, e605–e614. [Google Scholar] [CrossRef]
  58. Lambiase, A.; Manni, L.; Bonini, S.; Rama, P.; Micera, A.; Aloe, L. Nerve Growth Factor Promotes Corneal Healing: Structural, Biochemical, and Molecular Analyses of Rat and Human Corneas. Invest Ophthalmol. Vis. Sci. 2000, 41, 1063–1069. [Google Scholar]
  59. Tepelus, T.C.; Chiu, G.B.; Huang, J.; Huang, P.; Sadda, S.V.R.; Irvine, J.; Lee, O.L. Correlation between Corneal Innervation and Inflammation Evaluated with Confocal Microscopy and Symptomatology in Patients with Dry Eye Syndromes: A Preliminary Study. Graefe’s Arch. Clin. Exp. Ophthalmol. 2017, 255, 1771–1778. [Google Scholar] [CrossRef]
  60. Merayo-Lloves, J.; Rushton, J.O. Effects of Three Blood Derived Products on Equine Corneal Cells, an in Vitro Study. Equine Vet. J. 2018, 50, 356–362. [Google Scholar] [CrossRef] [Green Version]
  61. Kheirkhah, A.; Dohlman, T.H.; Amparo, F.; Arnoldner, M.A.; Jamali, A.; Hamrah, P.; Dana, R. Effects of Corneal Nerve Density on the Response to Treatment in Dry Eye Disease. Ophthalmology 2015, 122, 662–668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Villani, E.; Garoli, E.; Termine, V.; Pichi, F.; Ratiglia, R.; Nucci, P. Corneal Confocal Microscopy in Dry Eye Treated with Corticosteroids. Optom. Vis. Sci. 2015, 92, e290–e295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Levy, O.; Labbé, A.; Borderie, V.; Hamiche, T.; Dupas, B.; Laroche, L.; Baudouin, C.; Bouheraoua, N. Increased Corneal Sub-Basal Nerve Density in Patients with Sjögren Syndrome Treated with Topical Cyclosporine A. Clin. Exp. Ophthalmol. 2017, 45, 455–463. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Iaccheri, B.; Torroni, G.; Cagini, C.; Fiore, T.; Cerquaglia, A.; Lupidi, M.; Cillino, S.; Dua, H.S. Corneal Confocal Scanning Laser Microscopy in Patients with Dry Eye Disease Treated with Topical Cyclosporine. Eye 2017, 31, 788–794. [Google Scholar] [CrossRef] [Green Version]
  65. Li, B.; Tian, Y.; Wang, S. The Correlation of Cytokines and Sensory Hypersensitivity in Mild Dry Eye Patients Characterized by Symptoms Outweighing Signs—PubMed. Available online: https://pubmed.ncbi.nlm.nih.gov/32476816/ (accessed on 23 January 2023).
  66. Lemp, M.A.; Baudouin, C.; Baum, J.; Dogru, M.; Foulks, G.N.; Kinoshita, S.; Laibson, P.; McCulley, J.; Murube, J.; Pflugfelder, S.C.; et al. The Definition and Classification of Dry Eye Disease: Report of the Definition and Classification Subcommittee of the International Dry Eye WorkShop (2007). Ocul Surf 2007, 5, 75–92. [Google Scholar] [CrossRef]
  67. Aragona, P.; Giannaccare, G.; Mencucci, R.; Rubino, P.; Cantera, E.; Rolando, M. Modern Approach to the Treatment of Dry Eye, a Complex Multifactorial Disease: A P.I.C.A.S.S.O. Board Review. Br. J. Ophthalmol. 2021, 105, 446–453. [Google Scholar] [CrossRef]
Figure 1. Examples IVCM image analysis using ACCMetrics© software. (AC) show an image from a healthy cornea. (DF) show the analysis process in the cornea of a DED patient. Note the differences in nerve fiber number and thickness between healthy (A) and DED (D) raw images (as obtained directly from the microscope). ACCMetrics© software detects nerve fibers (traces marked in green in (B,E) automatically and segregates traces in primary axons (red), first branches (blue) and the points of branching (green dots) in the analyzed images for quantification((C,F). Arrowheads in (DF) show one dendritic cell in DED patient images.
Figure 1. Examples IVCM image analysis using ACCMetrics© software. (AC) show an image from a healthy cornea. (DF) show the analysis process in the cornea of a DED patient. Note the differences in nerve fiber number and thickness between healthy (A) and DED (D) raw images (as obtained directly from the microscope). ACCMetrics© software detects nerve fibers (traces marked in green in (B,E) automatically and segregates traces in primary axons (red), first branches (blue) and the points of branching (green dots) in the analyzed images for quantification((C,F). Arrowheads in (DF) show one dendritic cell in DED patient images.
Jcm 12 01841 g001
Figure 2. Corneal nerve quantification and morphological alterations Evaporative Dry Eye subtypes according to groups of treatment. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Figure 2. Corneal nerve quantification and morphological alterations Evaporative Dry Eye subtypes according to groups of treatment. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Jcm 12 01841 g002
Figure 3. Tear film and psychometric questionnaires for Evaporative Dry Eye Subtype. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Figure 3. Tear film and psychometric questionnaires for Evaporative Dry Eye Subtype. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Jcm 12 01841 g003
Figure 4. Corneal nerve quantification and morphological alterations ADDE subtype according to groups of treatment. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Figure 4. Corneal nerve quantification and morphological alterations ADDE subtype according to groups of treatment. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Jcm 12 01841 g004
Figure 5. Tear film and psychometric questionnaires for Aqueous Deficient Dry Eye. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Figure 5. Tear film and psychometric questionnaires for Aqueous Deficient Dry Eye. Asterisks (*) in the graphs indicate statistical differences between groups (p < 0.05).
Jcm 12 01841 g005
Table 1. Demographics and inclusion criteria.
Table 1. Demographics and inclusion criteria.
Standard TreatmentPRGF Treatment
n/Mean±SEMn/Mean±SEMp Value
Number of subjects32-51--
Age55.132.0856.082.290.766
Sex distribution (female/male)23/9-39/12-0.639
Previous OSDI Score36.123.3843.173.520.219
Previous Break Up Time5.270.584.930.470.581
Time of treatment (months)4.750.624.800.550.621
Table 2. General results.
Table 2. General results.
Standard TreatmentPRGF Treatment
BaselineFollow-Up BaselineFollow-Up
Mean
(±SEM)
Mean
(±SEM)
p ValueEffect SizeMean
(±SEM)
Mean
(±SEM)
p ValueEffect Size
OSDI SCORE36.119 ± 3.38625.456 ± 3.6800.002*0.41243.169 ± 3.52031.553 ± 2.9260.005 *0.366
SCHIRMER (mm)7.193 ± 1.2775.875 ± 1.1590.1940.1365.340 ± 0.5616.125 ± 0.7380.6850.121
FBut (sec)5.269 ± 0.5884.875 ± 0.5950.6540.0874.935 ± 0.4686.106 ± 0.4630.003 *0.262
SANDE Frequency65.000 ± 4.51241.093 ± 4.4550.000*0.66670.102 ± 4.19639.591 ± 3.2630.000 *0.820
SANDE Severity56.719 ± 4.11334.687 ± 4.3120.000*0.65465.510 ± 3.55735.102 ± 3.1420.000 *0.915
CNFD (n/mm2)19.572 ± 1.18819.340 ± 1.6150.8590.02013.827 ± 1.01917.556 ± 1.1620.000 *0.338
CNBD (n/mm2)22.874 ± 2.72824.672 ± 2.9250.4320.07917.440 ± 2.09223.796 ± 2.7620.002 *0.257
CNFL (mm/mm2)13.087 ± 0.59012.965 ± 0.6770.8320.02410.177 ± 0.53711.863 ± 0.6030.000 *0.293
CTBD (n/mm2)38.181 ± 3.75141.022 ± 4.1180.4660.19032.257 ± 3.15840.925 ± 4.1480.012 *0.233
CNFA (mm2/mm2)0.0059 ± 0.00030.0057 ± 0.00030.6070.0780.0053 ± 0.00030.0057 ± 0.00030.004 *0.123
CNFW (mm/mm2)0.0213 ± 0.00020.0215 ± 0.00020.4000.0910.0222 ± 0.00030.0220 ± 0.00020.3680.060
CNFrD1.4638 ± 0.0091.4684 ± 0.0060.8010.0721.4331 ± 0.0101.4500 ± 0.0090.004 *0.229
Dendritic cells (n/frame)4.9519 ± 1.8102.3541 ± 1.2520.039 *0.2093.1908 ± 0.5492.5806 ± 0.5450.0770.110
Neuroma (n/frame)0.1984 ± 0.0750.0519 ± 0.0340.0640.3150.1465 ± 0.0490.0692 ± 0.0420.1040.167
Axonal Beads (n/frame)0.6694 ± 0.1470.1669 ± 0.5610.002 *0.5640.3890 ± 0.0780.1278 ± 0.0520.008 *0.389
OSDI (Ocular Surface Disease Index); FBut (Fluorescein Break Up Time); SANDE (Symptom Assesment in Dry Eye); CNFD (Corneal Nerve Fiber Density); CNBD (Corneal Nerve Branch Density); CNFL (Corneal Nerve Fiber Length); CTBD (Corneal Total Branch Density); CNFA (Corneal Nerve Fiber Area); CNFW (Corneal Nerve Fiber Width); CNFrD (Corneal Nerve Fractal Dimension). Asterisks (*) in the table indicate statistical differences (p < 0.05).
Table 3. Effect size according to the subtype of DED.
Table 3. Effect size according to the subtype of DED.
Evaporative Dry EyeAqueous Deficient Dry Eye
Standard TreatmentPRGF TreatmentStandard TreatmentPRGF Treatment
CNFD0.366 ↓0.288 ↑0.263 ↑0.413 ↑
CNBD0.135 ↓0.111 ↑0.253 ↑0.308 ↑
CNFL0.402 ↓0.162 ↑0.243 ↑0.322 ↑
Dendritic cells0.130 ↓0.432 ↓0.258 ↓0.054 ↓
Neuromas0.141 ↓0.117 ↑0.282 ↓0.321 ↓
Beadings0.277 ↓0.184 ↓0.756 ↓0.379 ↓
Break Up Time0.096 ↑0.052 ↓0.274 ↓0.464 ↑
Schirmer0.521 ↓0.261 ↓0.272 ↑0.379 ↑
OSDI Score0.183 ↓0.015 ↑0.539 ↓0.509 ↓
SANDE Frequency0.661 ↓1.398 ↓0.663 ↓0.874 ↓
SANDE Intensity0.822 ↓1.235 ↓0.506 ↓0.948 ↓
Arrows indicate the trend of the effect with respect to baseline values.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Barros, A.; Lozano-Sanroma, J.; Queiruga-Piñeiro, J.; Fernández-Vega Cueto, L.; Anitua, E.; Alcalde, I.; Merayo-Lloves, J. Recovery of Corneal Innervation after Treatment in Dry Eye Disease: A Confocal Microscopy Study. J. Clin. Med. 2023, 12, 1841. https://doi.org/10.3390/jcm12051841

AMA Style

Barros A, Lozano-Sanroma J, Queiruga-Piñeiro J, Fernández-Vega Cueto L, Anitua E, Alcalde I, Merayo-Lloves J. Recovery of Corneal Innervation after Treatment in Dry Eye Disease: A Confocal Microscopy Study. Journal of Clinical Medicine. 2023; 12(5):1841. https://doi.org/10.3390/jcm12051841

Chicago/Turabian Style

Barros, Alberto, Javier Lozano-Sanroma, Juan Queiruga-Piñeiro, Luis Fernández-Vega Cueto, Eduardo Anitua, Ignacio Alcalde, and Jesús Merayo-Lloves. 2023. "Recovery of Corneal Innervation after Treatment in Dry Eye Disease: A Confocal Microscopy Study" Journal of Clinical Medicine 12, no. 5: 1841. https://doi.org/10.3390/jcm12051841

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