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Corneal confocal microscopy in patients with distal symmetric polyneuropathy compared to controls

Microscopia confocal de córnea em pacientes com polineuropatia simétrica distal comparados a controles

Abstract

Background

Diabetic neuropathy (DN) is a very common clinical condition throughout the world. The diagnostic tests currently recommended have low sensitivity, such as electromyography, or are invasive, such as skin biopsy. New techniques have been developed to identify the early involvement of the peripheral nerve. With the advent of corneal confocal microscopy (CCM), a reduction in corneal innervation in patients with DN has been observed.

Objective

To compare, through CCM, diabetic patients with symptomatic distal symmetric polyneuropathy (DSP) and controls.

Methods

In the present study, through CCM, we compared the morphological changes in the sub-basal epithelial corneal plexus of 35 diabetic patients with symptomatic DSP with 55 controls. Moreover, we sought to determine a pattern of change regarding the severity stages of DSP, comparing the clinical, laboratory, and nerve-conduction (NC) variables.

Results

Differences between the control and diabetic groups were observed for the following variables, respectively: age (44.9 ± 13.24 years versus 57.02 ± 10.4 years; p< 0.001); fiber density (29.7 ± 10.2 versus 16.6 ± 10.2; p< 0.001); number of fibers (4.76 ± 1.30 versus 3.14 ± 1.63; p< 0.001); number of Langerhans cells (4.64 ± 8.05 versus 7.49 ± 10.3; p= 0.035); tortuosity (p< 0.05); and thickness (p< 0.05). Furthermore, inverse relationships were found regarding fiber density and age (p< 0.01) and fiber density and the severity of the disease (p< 0.05). A positive relationship between the conduction velocity of the fibular nerve and fiber density (p< 0.05) was also observed.

Conclusion

Corneal confocal microscopy proved to be a fast, noninvasive and reproducible method for the diagnosis, staging, and monitoring of diabetic DSP.

Keywords
Diabetes Mellitus; Peripheral Nervous System Diseases; Confocal Microscopy

Resumo

Antecedentes

A neuropatia diabética (ND) é condição clínica muito frequente no mundo inteiro. Os testes diagnósticos atualmente preconizados são pouco sensíveis, como a eletroneuromiografia, ou invasivos, como a biópsia de pele. Novas técnicas de investigação complementares têm sido desenvolvidas a fim de identificar o acometimento precoce do nervo periférico. Com o advento da microscopia confocal de córnea (MCC), observou-se redução da inervação da córnea em pacientes com ND.

Objetivo

Comparar, por meio da MCC, pacientes diabéticos com polineuropatia simétrica distal (PSD) sintomática e controles.

Métodos

Neste estudo, por meio da MCC, comparamos as alterações morfológicas do plexo sub-basal epitelial da córnea de 35 pacientes diabéticos com PSD sintomática com 55 indivíduos controles. Além disso, buscamos determinar um padrão de alteração entre os estágios de gravidade da PSD, comparando variáveis clínicas, laboratoriais e de neurocondução.

Resultados

Diferenças entre os grupos controle e diabéticos foram verificadas com relação às seguintes variáveis, respectivamente: idade (44,9 ± 13,24 anos versus 57,02 ± 10,4 anos; p< 0,001); densidade das fibras (29,7 ± 10,2 versus 16,6 ± 10,2; p< 0,001); número de fibras (4,76 ± 1,30 versus 3,14 ± 1,63; p< 0,001); número de células de Langerhans (4,64 ± 8,05 versus 7,49 ± 10,3; p= 0,035); tortuosidade (p< 0,05), e espessura (p < 0,05). Além disso, relações inversamente proporcionais foram verificadas entre a densidade das fibras e a idade (p< 0,01), e entre a densidade das fibras e a gravidade da doença (p< 0,05). Observou-se ainda uma relação positiva entre a velocidade de condução do nervo fibular e a densidade das fibras (p< 0,05).

Conclusão

A MCC constitui um método rápido, não invasivo e reprodutível para o diagnóstico, o estadiamento, e o acompanhamento da PSD diabética.

Palavras-chave
Diabetes Mellitus; Doenças do Sistema Nervoso Periférico; Microscopia Confocal

INTRODUCTION

Diabetic neuropathy (DN) is a very common, clinical condition worldwide, and it has many different clinical forms, such as distal symmetric polyneuropathy (DSP), the most frequent presentation and the main mechanism for the development of diabetic foot.11 Boulton AJM, Kirsner RS, Vileikyte L. Clinical practice. Neuropathic diabetic foot ulcers. N Engl J Med 2004;351(01):48-55. Doi: 10.1056/NEJMcp032966
https://doi.org/10.1056/NEJMcp032966...
It predominantly presents with positive, sensory (burning, tingling) and negative symptoms (numbness, loss of sensation); however, it may develop asymptomatically. It is usually associated with autonomic signs and symptoms and is rarely observed with motor manifestations.22 Tracy JA, Dyck PJB. The spectrum of diabetic neuropathies. Phys Med Rehabil Clin N Am 2008;19(01):1-26, v. Doi: 10.1016/j.pmr.2007.10.010
https://doi.org/10.1016/j.pmr.2007.10.01...
Approximately 20% of patients with DSP present neuropathic pain, which sometimes becomes chronic and disabling.33 Abbott CA, Malik RA, van Ross ERE, Kulkarni J, Boulton AJM. Prevalence and characteristics of painful diabetic neuropathy in a large community-based diabetic population in the U.K. Diabetes Care 2011;34(10):2220-2224. Doi: 10.2337/dc11-1108
https://doi.org/10.2337/dc11-1108...

If the diagnosis is made early and correctly, it enables the proper treatment and hinders the progression of the neuropathy, preventing serious complications.

Thus, obtaining the clinical history and performing a detailed neurological examination are necessary to identify the signs of impaired nerve fibers.

Importantly, even in the absence of signs on the physical examination and the nerve conduction study (NCS), small fiber neuropathy may still be present. Therefore, new techniques have been developed to more accurately identify the early involvement of these small-diameter myelinated (Aδ) and unmyelinated (C) fibers. Among these new techniques, we highlight neurophysiologic, morphological, and autonomic testing methods which, though currently recommended for the diagnosis of DSP, are not sensitive, such as the NCS, and are invasive, like skin biopsy.

Recently, the sub-basal plexus of the human cornea, which is composed of small fibers, was mapped through confocal microscopy, which enabled the characterization of its pattern and the of distribution of nerve fibers in healthy subjects of both sexes and different ages.44 Oliveira-Soto L, Efron N. Morphology of corneal nerves using confocal microscopy. Cornea 2001;20(04):374-384. Doi: 10.1097/00003226-200105000-00008
https://doi.org/10.1097/00003226-2001050...

In a series of 18 cases of diabetic patients compared with controls, the authors55 Malik RA, Kallinikos P, Abbott CA, et al. Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients. Diabetologia 2003;46(05):683-688. Doi: 10.1007/s00125-003-1086-8
https://doi.org/10.1007/s00125-003-1086-...
demonstrated for the first time a significant reduction in the fiber density of the sub-basal plexus by CCM, and highlighted that this examination may be used to establish a morphological diagnosis, and it is rapid, noninvasive and reproducible for the identification of DSP.

It is possible to estimate several aspects of the sub-basal plexus of the cornea, such as the density of the fibers and nerve trunks, as well as their size, degree of tortuosity and thickness, and, finally, the number of Langerhans cells per field. These measurements are used in the qualitative and quantitative assessment of the innervation of the cornea, enabling its comparison with various interest groups of study.66 Papanas N, Ziegler D. Corneal confocal microscopy: a new technique for early detection of diabetic neuropathy. Curr Diab Rep 2013;13(04):488-499. Doi: 10.1007/s11892-013-0390-z
https://doi.org/10.1007/s11892-013-0390-...

In the present study, we compared the morphological changes in the sub-basal corneal epithelial plexus through in vivo CCM (IVCCM) in 35 diabetic patients with symptomatic DSP to 55 control subjects in a Brazilian sample taken from a previous study.77 Dieckmann G, Pupe C, Nascimento OJM. Corneal confocal microscopy in a healthy Brazilian sample. Arq Neuropsiquiatr 2016;74(01):10-17. Doi: 10.1590/0004-282×20150178
https://doi.org/10.1590/0004-282×2015017...
In addition, we sought to determine a pattern of change regarding the stages of severity of the DSP, comparing clinical, laboratory, and NCS variables.

METHODS

Patients

We selected 35 consecutive outpatient subjects with symptomatic DSP in neurology and endocrinology and 55 healthy individuals in Hospital Universitário Antônio Pedro (HUAP) from Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil, between November 2011 to March 2013. The present study was analyzed and approved by the HUAP Review Board on June 17, 2011 (CAAE: 0144.0.258.000–11). The patients were informed about all the research steps, and they read and signed two copies of the consent form before their inclusion in the study.

Study design

Subjects who met the inclusion criteria for the group of diabetic patients underwent clinical, laboratory, and neurophysiologic studies, as well as the performance of CCM. The 55 control subjects were submitted to a clinical assessment, and those who did not present relevant changes in the neurological examination underwent the CCM.

The study included patients between 21 and 70 years of age. Patients in the diabetic group had to fulfill the current criteria of the American Diabetes Academy for the diagnosis of type-2 diabetes mellitus, present neuropathic symptoms such as paresthesia, pain, or imbalance, and have a Neuropathy Disability Score (NDS) > 3 for the establishment of the clinical diagnosis of DSP. We excluded patients with a history of trauma or corneal diseases, previous eye surgeries, those who had used contact lenses less than 24 hours before the CCM, those who had a history of conditions that could compromise the cornea and/or peripheral nerve, patients who, for fewer than 6 months, had used drugs that are potentially toxic to the nerves and/or cornea, and/or had cognitive and/or sensory deficits that impair the scores on the scales or the exam.

The clinical evaluation was based on data from the history, the physical and neurological examinations, and specific scales for neuropathy, neuropathic pain, and disability. The NCS was performed using an electromyograph (Nihon Kohden Corp., Shinjuku, Tokyo, Japan).

We applied the NDS to assess the severity of the neuropathy,88 Moreira RO, Castro AP, Papelbaum M, et al. [Translation into Portuguese and assessment of the reliability of a scale for the diagnosis of diabetic distal polyneuropathy]. Arq Bras Endocrinol Metabol 2005;49(06):944-950. Doi: 10.1590/s0004-27302005000600014
https://doi.org/10.1590/s0004-2730200500...
the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS)99 Schestatsky P, Félix-Torres V, Chaves MLF, et al. Brazilian Portuguese validation of the Leeds Assessment of Neuropathic Symptoms and Signs for patients with chronic pain. Pain Med 2011;12(10):1544-1550. Doi: 10.1111/j.1526-4637.2011.01221.x
https://doi.org/10.1111/j.1526-4637.2011...
to evaluate the neuropathic pain, and the modified Rankin scale for disability,1010 Cincura C, Pontes-Neto OM, Neville IS, et al. Validation of the National Institutes of Health Stroke Scale, modified Rankin Scale and Barthel Index in Brazil: the role of cultural adaptation and structured interviewing. Cerebrovasc Dis 2009;27(02):119-122. Doi: 10.1159/000177918
https://doi.org/10.1159/000177918...
all validated for the Portuguese language.

We used the Heidelberg Retina Tomograph III Rostock Corneal Module (HRT3 RCM, Heidelberg Engineering GmbH, Heidelberg, Germany) confocal microscope to capture images of the sub-basal corneal epithelial plexus. These tests were performed by an ophthalmologist who was an expert in the field.

The patients' corneas were anesthetized using a drop of benoxinate hydrochloride at 0.4% and lubricated each eye with carbomer 0.2% eye gel, as well as the surface of the TOMOCAP (Heidelberg Engineering GmbH). Soon after, the patient was positioned comfortably and appropriately for the beginning of the study (Figure 1).

Figure 1
The HRT3 RCM confocal microscope.

Images from the five layers of the corneas were obtained. After identification of the epithelium, the objective lenses were positioned at 0 mm in depth, always exploring a fixed field of 0.16 mm2. From this point, the lenses were deepened to the subepithelial layer, where multiple images of the sub-basal plexus were obtained. The distance between each image was of ∼ 1 µm.1111 Tavakoli M, Malik RA. Corneal confocal microscopy: a novel noninvasive technique to quantify small fibre pathology in peripheral neuropathies. J Vis Exp 2011;(47):2194. Doi: 10.3791/2194
https://doi.org/10.3791/2194...

The five best photos of the sub-basal plexus of the cornea of each eye were selected. The images of individuals from both groups were subjected to a blinding process. Each image was analyzed manually and separately by three observers for the following previously-established parameters: the number of fibers and of the Langerhans cells per field, the degree of tortuosity, and the thickness of the fibers.

The degrees of tortuosity established were: 1 for linear and parallel fibers; 2 for tortuous and non-parallel fibers, but in the same direction; and 3 for tortuous fibers not in the same direction. The degrees of thickness were classified as: 1 for thick fibers; 2 for fibers of medium thickness; and 3 for thin fibers.

Statistical analysis

Comparison of the findings of the CCM in both groups

The results of the CCM in the diabetic and control patients were compared by means and proportion tests. The Kolmogorov-Smirnov and the Shapiro tests were used to verify the normality of the continuous or discrete variables, and the mean differences were evaluated through the t-test or Mann-Whitney U test.

The percentage differences noted regarding the qualitative variables were evaluated using the Chi-squared statistic.

All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS for Windows, SPSS Inc., Chicago, IL, US) software, version 16.0.

RESULTS

Description of the study population

We evaluated 90 individuals, 35 diabetic patients with symptomatic DSP (39%) and 55 control subjects (61%). The differences between the control and diabetic groups were observed in the following variables, respectively: age (44.9 ± 13.24 years versus 57.02 ± 10.4 years; p< 0.001); fiber density (29.7 ± 10.2 versus 16.6 ± 10.2; p< 0.001); mean number of fibers (4.76 ± 1.30 versus 3.14 ± 1.63; p< 0.001); mean number of Langerhans cells (4.64 ± 8.05 versus 7.49 ± 10.3; p= 0.035); tortuosity (p< 0.05); and thickness (Chi-squared p< 0.05) (Table 1).

Table 1
Demographic features, CCM and NCS results, laboratory and clinical findings

In the diabetic group, 31.4% of the patients had mild DSP (NDS: 3 to 5), 31.4% had moderate (NDS: 6 to 8), and 37.1% had severe DSP (NDS: 9 to 10) (Table 1).

Comparison of the CCM findings between the groups

For the mean number of fibers and density, we found a statistically significant difference between the control and diabetic groups (p< 0.001). A statistically significant difference was also noted when the means of the Langerhans cells (p= 0.035) were compared. The equality of the variances was tested for several fibers with the Levene test (p= 0.367) (Table 2, Figure 2).

Figure 2
Comparison of the findings of IVCCM between the diabetic and control study groups.

Table 2
Summary and dispersion measurements of CCM variables according to study groups for the entire population

The variables were reclassified in tortuosity (fibers with no tortuosity or tortuousness) and thickness (absent or thin fibers, medium or large fibers). We observed statistically significant differences in the percentage categories of tortuosity and the thickness between the groups (Chi-squared p< 0.001) (Table 1).

Pattern of the morphological changes

The pattern of the morphological changes was determined in three stages by comparing the clinical, laboratory, and NCS findings of the CCM. The following variables were statistically different from the mean in the categories of mild and moderate neuropathy / severe: the duration of the diabetes and the SNAP of the sural nerve (p <0.05). The mean differences in symptom duration, glycated hemoglobin (HbA1C), CV, and compound muscle action potential (CMAP) of the fibular nerve were observed between mild and severe neuropathy (Table 3, Figure 3).

Table 3
Demographic, clinical, laboratory, CCM, and NCS variables according to severity stages

Figure 3
Comparison of the morphological changes in three stages of severity by clinical, laboratory, and NCS variables and the findings of IVCCM.

Regarding the NCS, we observed statistically significant differences regarding the mean SNAP of the sural nerve and the three stages of severity. In the conduction velocity of the fibular nerve, differences in the means were noted between patients with mild and severe conditions (p< 0.05). And, in relation to the fibular CMAP, these differences were significant between patients with mild and severe neuropathy (►Table 3).

In the subgroup of the diabetic patients with mild neuropathy, or small-fiber neuropathy, ∼ 90% were female, aged between 27 and 70 years, ∼ 80% had had the diagnosis of DM and the symptoms for fewer than 5 years, and all were using oral hypoglycemic agents, without need for insulin therapy. The mean body mass index (BMI) was of 30.4 kg/m2, 36% reported pain as a symptom, and 100% had an NCS within the normal range. Of these, 27% had other microvascular complications and a mean of HbA1c of 6.2%. The mean number of fibers was 3.8 ± 1.6, and the mean density was of 23.8 ± 10. As for the Langerhans cells, the mean number was 7 ± 9.8. About 90% had no parallel fibers, and 64% had thin fibers (►Table 3).

In the subgroup of patients with moderate neuropathy, 100% were female, aged between 49 and 69 years, with a diabetes duration of 7 to 20 years, a mean BMI of 29.2 kg/m2, and 54% had pain. Furthermore, 64% were dependent on insulin therapy, 90% had pure sensory neuropathy on the NCS, 45% exhibited at least 1 microvascular complication, and their mean HbA1C was of 7.4%. About 30% had a mild disability. The mean number of fibers was 3.2 ± 1.8, and the mean density was of 20 ± 11.3. The Langerhans cells had a mean number of 10.0 ± 14.1. About 90% had no parallel fibers, and 85% had thin fibers (►Table 3).

Among the patients with severe neuropathy, 61% were male, aged between 40 and 70 years. The time since their diagnosis of diabetes ranged from 24 to 30 years, their mean BMI was of 28 kg/m2, and 23% had neuropathic pain. Approximately 80% were using insulin, 38% had diabetic foot complications, and 100% experienced sensorimotor DSP according to the NCS. The mean HbA1c was of 7.0%. About 90% had other microvascular complications and 61.5% were classified as having mild or moderate degrees of disability. Regarding the CCM, the mean number of fibers was 3.0 ± 2.0, with a mean density of 18.75 ± 12.5. The mean number for the Langerhans cells was 2.3 ± 4.0. None these patients had parallel fibers and 85% had thin fibers (►Table 3).

Positive relationships were found between the duration of the diabetes and: the diabetes symptoms (r = 0.791; p< 0.01), the NDS (r = 0.580; p< 0.01), the duration of the symptoms (r = 0.487; p< 0.01), and the NDS (r = 0.531; p< 0.01) (Table 4).

Table 4
Pearson and Spearman correlation regarding the clinical variables, laboratory tests, CCM, and NCS

Regarding the results of the NCS, negative correlations were observed: inversely proportional relationships between the NDS and the SNAP of the sural nerve (r = -0.863 and r = -0.581 respectively; p< 0.01), the NDS and the fibular nerve CV (r = -0.637 and r = -0.632 respectively; p< 0.01), and the NDS and the CMAP of the fibular nerve (r = -0.405; p< 0.05).

Considering the results of the CCM, inverse relationships were found between the fiber density and age (r = - 0.432; p< 0.01) and the fiber density and the NDS (r = -0.405; p< 0.05). Another highlight is a positive relationship between the CV of the fibular nerve and the fiber density (r = 0.386 and r = 0.446 respectively; p< 0.05) (Table 4).

DISCUSSION

The involvement of the cornea in diabetic patients has been reported over the years by several authors.1212 Pritchard N, Edwards K, Shahidi AM, et al. Corneal markers of diabetic neuropathy. Ocul Surf 2011;9(01):17-28. Doi: 10.1016/s1542-0124(11)70006-4
https://doi.org/10.1016/s1542-0124(11)70...
The advent of CCM enabled the direct visualization, in the layers of the cornea, of the nerve fibers and the impairment in patients with DN.55 Malik RA, Kallinikos P, Abbott CA, et al. Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients. Diabetologia 2003;46(05):683-688. Doi: 10.1007/s00125-003-1086-8
https://doi.org/10.1007/s00125-003-1086-...

Considering the techniques available for the diagnosis of DSP, this method has attracted great interest from the scientific community because it is fast and non-invasive. Since then, several studies have been conducted to evaluate the best technique, the best parameters, and, primarily, a standardization of the method. To this end, some researchers1313 Patel DV, McGhee CNJ. Mapping of the normal human corneal sub-Basal nerve plexus by in vivo laser scanning confocal microscopy. Invest Ophthalmol Vis Sci 2005;46(12):4485-4488. Doi: 10.1167/iovs.05-0794
https://doi.org/10.1167/iovs.05-0794...
have endeavored to characterize the distribution of the sub-basal plexus of the cornea in healthy individuals, their morphology, and differences between genders and age groups.

We found statistically significant differences (p< 0.05) in all the CCM variables studied. In the diabetic group, there was a considerable reduction in the number of fibers, fiber density, as well as increased number of Langerhans cells. In addition, a higher tortuosity index and a lower degree of thickness were observed when compared with controls. This same pattern of changes is mentioned in studies performed with the same purposes as the present one.55 Malik RA, Kallinikos P, Abbott CA, et al. Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients. Diabetologia 2003;46(05):683-688. Doi: 10.1007/s00125-003-1086-8
https://doi.org/10.1007/s00125-003-1086-...
,66 Papanas N, Ziegler D. Corneal confocal microscopy: a new technique for early detection of diabetic neuropathy. Curr Diab Rep 2013;13(04):488-499. Doi: 10.1007/s11892-013-0390-z
https://doi.org/10.1007/s11892-013-0390-...
,1111 Tavakoli M, Malik RA. Corneal confocal microscopy: a novel noninvasive technique to quantify small fibre pathology in peripheral neuropathies. J Vis Exp 2011;(47):2194. Doi: 10.3791/2194
https://doi.org/10.3791/2194...
,1414 Midena E, Brugin E, Ghirlando A, Sommavilla M, Avogaro A. Corneal diabetic neuropathy: a confocal microscopy study. J Refract Surg 2006;22(9, Suppl):S1047-S1052

15 Messmer EM, Schmid-Tannwald C, Zapp D, Kampik A. In vivo confocal microscopy of corneal small fiber damage in diabetes mellitus. Graefes Arch Clin Exp Ophthalmol 2010;248(09): 1307-1312. Doi: 10.1007/s00417-010-1396-8
https://doi.org/10.1007/s00417-010-1396-...

16 Tavakoli M, Quattrini C, Abbott C, et al. Corneal confocal microscopy: a novel noninvasive test to diagnose and stratify the severity of human diabetic neuropathy. Diabetes Care 2010;33(08):1792-1797. Doi: 10.2337/dc10-0253
https://doi.org/10.2337/dc10-0253...

17 Ahmed A, Bril V, Orszag A, et al. Detection of diabetic sensorimotor polyneuropathy by corneal confocal microscopy in type 1 diabetes: a concurrent validity study. Diabetes Care 2012;35(04):821-828. Doi: 10.2337/dc11-1396
https://doi.org/10.2337/dc11-1396...

18 Edwards K, Pritchard N, Vagenas D, Russell A, Malik RA, Efron N. Utility of corneal confocal microscopy for assessing mild diabetic neuropathy: baseline findings of the LANDMark study. Clin Exp Optom2012; 95(03):348-354. Doi: 10.1111/j.1444-0938.2012.00740.x
https://doi.org/10.1111/j.1444-0938.2012...
-1919 Nitoda E, Kallinikos P, Pallikaris A, et al. Correlation of diabetic retinopathy and corneal neuropathy using confocal microscopy. Curr Eye Res 2012;37(10):898-906. Doi: 10.3109/02713683.2012.683507
https://doi.org/10.3109/02713683.2012.68...

These data are similar to those of several studies2020 Pop-Busui R, Lu J, Lopes N, Jones TLZBARI 2D Investigators. Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the BARI 2D cohort. J Peripher Nerv Syst 2009;14(01):1-13. Doi: 10.1111/j.1529-8027.2009.00200.x
https://doi.org/10.1111/j.1529-8027.2009...
conducted to identify the clinical variables as risk factors for the development and progression of DSP.

We found a positive relationship between the CCM parameters and the modified Rankin Scale, which demonstrates the correlation between the progression of the DSP and disability. Corroborating this finding was the worsening of functionality to evaluate the quality of life and depression, according to the severity of DSP in diabetics previously highlighted.88 Moreira RO, Castro AP, Papelbaum M, et al. [Translation into Portuguese and assessment of the reliability of a scale for the diagnosis of diabetic distal polyneuropathy]. Arq Bras Endocrinol Metabol 2005;49(06):944-950. Doi: 10.1590/s0004-27302005000600014
https://doi.org/10.1590/s0004-2730200500...

The results of the NCS, represented by the SNAP of the sural nerve, CV, and CMAP of the fibular nerve, corresponded to the findings already widely demonstrated2121 Perkins BA, Bril V. Diabetic neuropathy: a review emphasizing diagnostic methods. Clin Neurophysiol 2003;114(07):1167-1175. Doi: 10.1016/s1388-2457(03)00025-7
https://doi.org/10.1016/s1388-2457(03)00...

22 Dyck PJ, Kratz KM, Karnes JL, et al. The prevalence by staged severity of various types of diabetic neuropathy, retinopathy, and nephropathy in a population-based cohort: the Rochester Diabetic Neuropathy Study. Neurology 1993;43(04):817-824. Doi: 10.1212/wnl.43.4.817
https://doi.org/10.1212/wnl.43.4.817...

23 Albers JW, Brown MB, Sima AA, Greene DATolrestat Study Group for the Early Diabetes Intervention Trial. Nerve conduction measures in mild diabetic neuropathy in the Early Diabetes InterventionTrial: the effects of age, sex, type of diabetes, disease duration, and anthropometric factors. Neurology 1996;46(01):85-91. Doi: 10.1212/wnl.46.1.85
https://doi.org/10.1212/wnl.46.1.85...
-2424 Gibbons CH, Freeman R, Veves A. Diabetic neuropathy: a crosssectional study of the relationships among tests of neurophysiology. Diabetes Care 2010;33(12):2629-2634. Doi: 10.2337/dc10-0763
https://doi.org/10.2337/dc10-0763...
in the progression of diabetic DSP. There was an inverse relationship between these parameters and the NDS, the values of HbA1c, and the duration of diabetes and symptoms.2121 Perkins BA, Bril V. Diabetic neuropathy: a review emphasizing diagnostic methods. Clin Neurophysiol 2003;114(07):1167-1175. Doi: 10.1016/s1388-2457(03)00025-7
https://doi.org/10.1016/s1388-2457(03)00...

22 Dyck PJ, Kratz KM, Karnes JL, et al. The prevalence by staged severity of various types of diabetic neuropathy, retinopathy, and nephropathy in a population-based cohort: the Rochester Diabetic Neuropathy Study. Neurology 1993;43(04):817-824. Doi: 10.1212/wnl.43.4.817
https://doi.org/10.1212/wnl.43.4.817...

23 Albers JW, Brown MB, Sima AA, Greene DATolrestat Study Group for the Early Diabetes Intervention Trial. Nerve conduction measures in mild diabetic neuropathy in the Early Diabetes InterventionTrial: the effects of age, sex, type of diabetes, disease duration, and anthropometric factors. Neurology 1996;46(01):85-91. Doi: 10.1212/wnl.46.1.85
https://doi.org/10.1212/wnl.46.1.85...
-2424 Gibbons CH, Freeman R, Veves A. Diabetic neuropathy: a crosssectional study of the relationships among tests of neurophysiology. Diabetes Care 2010;33(12):2629-2634. Doi: 10.2337/dc10-0763
https://doi.org/10.2337/dc10-0763...

Regarding the CCM parameters, inverse relationships between age and fiber density, and fiber density and the NDS were observed (Figure 4). Moreover, a positive correlation was found between the CV of the fibular nerve and fiber density.

Figure 4
(A) Example of thick (thickness: 3), linear, and parallel (tortuosity: 1) fibers, with 7 fibers and 1 Langerhans cell. (B) Example of medium fibers (thickness: 2), somewhat tortuous and not parallel, but in the same direction (tortuosity: 2), and with 5 fibers and 1 Langerhans cell. (C) Example of thin fibers (thickness: 1), very tortuous and without direction (tortuosity: 3), with 2 fibers and 14 Langerhans cells. (D) Example of absence of fibers and 9 Langerhans cells. Images extracted from the database of the present study.

There is no consensus in the literature about the effect of aging on the density of the fibers of the sub-basal corneal epithelial plexus.2525 Tavakoli M, Petropoulos IN, Malik RA. Assessing corneal nerve structure and function in diabetic neuropathy. Clin Exp Optom 2012;95(03):338-347. Doi: 10.1111/j.1444-0938.2012.00743.x
https://doi.org/10.1111/j.1444-0938.2012...
However, a study2626 Niederer RL, Perumal D, Sherwin T, McGhee CNJ. Age-related differences in the normal human cornea: a laser scanning in vivo confocal microscopy study. Br J Ophthalmol 2007;91(09): 1165-1169. Doi: 10.1136/bjo.2006.112656
https://doi.org/10.1136/bjo.2006.112656...
showed a yearly linear decrease of 0.9% in fiber density, corroborating the results of the present study.

There seems to be a proportional reduction in the density of the fibers of the sub-basal plexus of the cornea along the natural history of diabetic DSP. Furthermore, it is believed that the fibers become thinner due to the process of axonal degeneration in the course of the disease. The increased tortuosity index and the decrease in thickness were attributed to axonal degeneration and regeneration in DSP, as in the pattern of the histopathologic findings in the peripheral nerve (sprouting), suggesting a chronic, axonal damage.2727 Kallinikos P, Berhanu M, O’Donnell C, Boulton AJM, Efron N, Malik RA. Corneal nerve tortuosity in diabetic patients with neuropathy. Invest Ophthalmol Vis Sci 2004;45(02):418-422. Doi: 10.1167/iovs.03-0637
https://doi.org/10.1167/iovs.03-0637...

A significant increase in the number of Langerhans cells was found in the diabetic group compared with the controls, with greater distribution among patients with mild and moderate forms of DSP, corroborating a previous study,1111 Tavakoli M, Malik RA. Corneal confocal microscopy: a novel noninvasive technique to quantify small fibre pathology in peripheral neuropathies. J Vis Exp 2011;(47):2194. Doi: 10.3791/2194
https://doi.org/10.3791/2194...
which may indicate the contribution of the immune mechanism in the pathogenesis and a perpetuation of the axonal impairment.

In the literature, few papers have been published demonstrating the efficacy of CCM in identifying the regeneration of nerve fibers in the sub-basal plexus of the cornea after pancreas transplantation in patients with type-1 diabetes mellitus and after improvement of the risk factors for DSP in patients with type-2 diabetes mellitus, whereas functional methods of assessing the peripheral nerve, such as NCS and the Quantitative Sensory Test (QST), were not able to detect such improvement.2828 Tavakoli M, Mitu-Pretorian M, Petropoulos IN, et al. Corneal confocal microscopy detects early nerve regeneration in diabetic neuropathy after simultaneous pancreas and kidney transplantation. Diabetes 2013;62(01):254-260. Doi: 10.2337/db12-0574
https://doi.org/10.2337/db12-0574...

Several comparisons with other diagnostic methods, such as NCS, skin biopsy, and the QST, have shown that CCM had greater sensitivity and specificity in identifying diabetic DSP in the early stage, when there is only the involvement of small fibers. Moreover, it is rapid, noninvasive, reproducible, and enables multiple assessments throughout the evolution of the patient. The reduced fiber density in the epithelial sub-basal corneal plexus has a strong correlation with the degree of involvement of the peripheral nerve, which shows this method as a possible diagnosis for testing in the evolution of the severity of the neuropathy. These features make this method very promising for use not only in the clinical practice, but also in longitudinal studies and clinical trials, to evaluate the therapeutic efficacy of certain drugs in diabetic DSP.66 Papanas N, Ziegler D. Corneal confocal microscopy: a new technique for early detection of diabetic neuropathy. Curr Diab Rep 2013;13(04):488-499. Doi: 10.1007/s11892-013-0390-z
https://doi.org/10.1007/s11892-013-0390-...

An increasing number of articles on the use of IVCM to quantify diabetic neuropathy has demonstrated a reduction in corneal sub-basal nerve fiber density and an increase in nerve fiber tortuosity in diabetes, correlated with the stage or severity of the peripheral neuropathy.2929 Cruzat A, Qazi Y, Hamrah P. In Vivo Confocal Microscopy of Corneal Nerves in Health and Disease. Ocul Surf 2017;15(01): 15-47. Doi: 10.1016/j.jtos.2016.09.004
https://doi.org/10.1016/j.jtos.2016.09.0...

In summary, to date, several groups2525 Tavakoli M, Petropoulos IN, Malik RA. Assessing corneal nerve structure and function in diabetic neuropathy. Clin Exp Optom 2012;95(03):338-347. Doi: 10.1111/j.1444-0938.2012.00743.x
https://doi.org/10.1111/j.1444-0938.2012...
have employed CCM of the corneal sub basal nerves in diabetic subjects to identify patients with minimal neuropathy, quantify the severity of the neuropathy, and follow the progression or assess the therapeutic response in DN. In vivo CCM has shown moderate-to-high specificity in the diagnosis of DN1616 Tavakoli M, Quattrini C, Abbott C, et al. Corneal confocal microscopy: a novel noninvasive test to diagnose and stratify the severity of human diabetic neuropathy. Diabetes Care 2010;33(08):1792-1797. Doi: 10.2337/dc10-0253
https://doi.org/10.2337/dc10-0253...
and the usefulness of the corneal nerves as DN biomarkers.1212 Pritchard N, Edwards K, Shahidi AM, et al. Corneal markers of diabetic neuropathy. Ocul Surf 2011;9(01):17-28. Doi: 10.1016/s1542-0124(11)70006-4
https://doi.org/10.1016/s1542-0124(11)70...
,1616 Tavakoli M, Quattrini C, Abbott C, et al. Corneal confocal microscopy: a novel noninvasive test to diagnose and stratify the severity of human diabetic neuropathy. Diabetes Care 2010;33(08):1792-1797. Doi: 10.2337/dc10-0253
https://doi.org/10.2337/dc10-0253...
,1919 Nitoda E, Kallinikos P, Pallikaris A, et al. Correlation of diabetic retinopathy and corneal neuropathy using confocal microscopy. Curr Eye Res 2012;37(10):898-906. Doi: 10.3109/02713683.2012.683507
https://doi.org/10.3109/02713683.2012.68...

In conclusion, CCM is a fast, non-invasive method, with good reproducibility, which contributes to the identification of changes in corneal innervation in patients with diabetic DSP. In addition, the reduction in fiber density of the epithelial sub-basal plexus of the cornea has a high correlation with the degree of involvement of the peripheral nerve, that is, the severity of the neuropathy, standing out as a possible diagnostic and evolutionary test of the disease. These characteristics of the method favor its applicability both in the clinical practice and in longitudinal studies, such as clinical trials.

The method's limitations include the high cost of the device, the need for a qualified professional, and the fact that there are still few studies on standardization.

Future research with larger samples is necessary to standardize and consolidate the method as a diagnostic test for diabetic DSP and also for other small-fiber neuropathies.

  • Support
    The present study was supported by the Brazilian federal agency called Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Coordination for the Improvement of Higher Education Personnel).

References

  • 1
    Boulton AJM, Kirsner RS, Vileikyte L. Clinical practice. Neuropathic diabetic foot ulcers. N Engl J Med 2004;351(01):48-55. Doi: 10.1056/NEJMcp032966
    » https://doi.org/10.1056/NEJMcp032966
  • 2
    Tracy JA, Dyck PJB. The spectrum of diabetic neuropathies. Phys Med Rehabil Clin N Am 2008;19(01):1-26, v. Doi: 10.1016/j.pmr.2007.10.010
    » https://doi.org/10.1016/j.pmr.2007.10.010
  • 3
    Abbott CA, Malik RA, van Ross ERE, Kulkarni J, Boulton AJM. Prevalence and characteristics of painful diabetic neuropathy in a large community-based diabetic population in the U.K. Diabetes Care 2011;34(10):2220-2224. Doi: 10.2337/dc11-1108
    » https://doi.org/10.2337/dc11-1108
  • 4
    Oliveira-Soto L, Efron N. Morphology of corneal nerves using confocal microscopy. Cornea 2001;20(04):374-384. Doi: 10.1097/00003226-200105000-00008
    » https://doi.org/10.1097/00003226-200105000-00008
  • 5
    Malik RA, Kallinikos P, Abbott CA, et al. Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients. Diabetologia 2003;46(05):683-688. Doi: 10.1007/s00125-003-1086-8
    » https://doi.org/10.1007/s00125-003-1086-8
  • 6
    Papanas N, Ziegler D. Corneal confocal microscopy: a new technique for early detection of diabetic neuropathy. Curr Diab Rep 2013;13(04):488-499. Doi: 10.1007/s11892-013-0390-z
    » https://doi.org/10.1007/s11892-013-0390-z
  • 7
    Dieckmann G, Pupe C, Nascimento OJM. Corneal confocal microscopy in a healthy Brazilian sample. Arq Neuropsiquiatr 2016;74(01):10-17. Doi: 10.1590/0004-282×20150178
    » https://doi.org/10.1590/0004-282×20150178
  • 8
    Moreira RO, Castro AP, Papelbaum M, et al. [Translation into Portuguese and assessment of the reliability of a scale for the diagnosis of diabetic distal polyneuropathy]. Arq Bras Endocrinol Metabol 2005;49(06):944-950. Doi: 10.1590/s0004-27302005000600014
    » https://doi.org/10.1590/s0004-27302005000600014
  • 9
    Schestatsky P, Félix-Torres V, Chaves MLF, et al. Brazilian Portuguese validation of the Leeds Assessment of Neuropathic Symptoms and Signs for patients with chronic pain. Pain Med 2011;12(10):1544-1550. Doi: 10.1111/j.1526-4637.2011.01221.x
    » https://doi.org/10.1111/j.1526-4637.2011.01221.x
  • 10
    Cincura C, Pontes-Neto OM, Neville IS, et al. Validation of the National Institutes of Health Stroke Scale, modified Rankin Scale and Barthel Index in Brazil: the role of cultural adaptation and structured interviewing. Cerebrovasc Dis 2009;27(02):119-122. Doi: 10.1159/000177918
    » https://doi.org/10.1159/000177918
  • 11
    Tavakoli M, Malik RA. Corneal confocal microscopy: a novel noninvasive technique to quantify small fibre pathology in peripheral neuropathies. J Vis Exp 2011;(47):2194. Doi: 10.3791/2194
    » https://doi.org/10.3791/2194
  • 12
    Pritchard N, Edwards K, Shahidi AM, et al. Corneal markers of diabetic neuropathy. Ocul Surf 2011;9(01):17-28. Doi: 10.1016/s1542-0124(11)70006-4
    » https://doi.org/10.1016/s1542-0124(11)70006-4
  • 13
    Patel DV, McGhee CNJ. Mapping of the normal human corneal sub-Basal nerve plexus by in vivo laser scanning confocal microscopy. Invest Ophthalmol Vis Sci 2005;46(12):4485-4488. Doi: 10.1167/iovs.05-0794
    » https://doi.org/10.1167/iovs.05-0794
  • 14
    Midena E, Brugin E, Ghirlando A, Sommavilla M, Avogaro A. Corneal diabetic neuropathy: a confocal microscopy study. J Refract Surg 2006;22(9, Suppl):S1047-S1052
  • 15
    Messmer EM, Schmid-Tannwald C, Zapp D, Kampik A. In vivo confocal microscopy of corneal small fiber damage in diabetes mellitus. Graefes Arch Clin Exp Ophthalmol 2010;248(09): 1307-1312. Doi: 10.1007/s00417-010-1396-8
    » https://doi.org/10.1007/s00417-010-1396-8
  • 16
    Tavakoli M, Quattrini C, Abbott C, et al. Corneal confocal microscopy: a novel noninvasive test to diagnose and stratify the severity of human diabetic neuropathy. Diabetes Care 2010;33(08):1792-1797. Doi: 10.2337/dc10-0253
    » https://doi.org/10.2337/dc10-0253
  • 17
    Ahmed A, Bril V, Orszag A, et al. Detection of diabetic sensorimotor polyneuropathy by corneal confocal microscopy in type 1 diabetes: a concurrent validity study. Diabetes Care 2012;35(04):821-828. Doi: 10.2337/dc11-1396
    » https://doi.org/10.2337/dc11-1396
  • 18
    Edwards K, Pritchard N, Vagenas D, Russell A, Malik RA, Efron N. Utility of corneal confocal microscopy for assessing mild diabetic neuropathy: baseline findings of the LANDMark study. Clin Exp Optom2012; 95(03):348-354. Doi: 10.1111/j.1444-0938.2012.00740.x
    » https://doi.org/10.1111/j.1444-0938.2012.00740.x
  • 19
    Nitoda E, Kallinikos P, Pallikaris A, et al. Correlation of diabetic retinopathy and corneal neuropathy using confocal microscopy. Curr Eye Res 2012;37(10):898-906. Doi: 10.3109/02713683.2012.683507
    » https://doi.org/10.3109/02713683.2012.683507
  • 20
    Pop-Busui R, Lu J, Lopes N, Jones TLZBARI 2D Investigators. Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the BARI 2D cohort. J Peripher Nerv Syst 2009;14(01):1-13. Doi: 10.1111/j.1529-8027.2009.00200.x
    » https://doi.org/10.1111/j.1529-8027.2009.00200.x
  • 21
    Perkins BA, Bril V. Diabetic neuropathy: a review emphasizing diagnostic methods. Clin Neurophysiol 2003;114(07):1167-1175. Doi: 10.1016/s1388-2457(03)00025-7
    » https://doi.org/10.1016/s1388-2457(03)00025-7
  • 22
    Dyck PJ, Kratz KM, Karnes JL, et al. The prevalence by staged severity of various types of diabetic neuropathy, retinopathy, and nephropathy in a population-based cohort: the Rochester Diabetic Neuropathy Study. Neurology 1993;43(04):817-824. Doi: 10.1212/wnl.43.4.817
    » https://doi.org/10.1212/wnl.43.4.817
  • 23
    Albers JW, Brown MB, Sima AA, Greene DATolrestat Study Group for the Early Diabetes Intervention Trial. Nerve conduction measures in mild diabetic neuropathy in the Early Diabetes InterventionTrial: the effects of age, sex, type of diabetes, disease duration, and anthropometric factors. Neurology 1996;46(01):85-91. Doi: 10.1212/wnl.46.1.85
    » https://doi.org/10.1212/wnl.46.1.85
  • 24
    Gibbons CH, Freeman R, Veves A. Diabetic neuropathy: a crosssectional study of the relationships among tests of neurophysiology. Diabetes Care 2010;33(12):2629-2634. Doi: 10.2337/dc10-0763
    » https://doi.org/10.2337/dc10-0763
  • 25
    Tavakoli M, Petropoulos IN, Malik RA. Assessing corneal nerve structure and function in diabetic neuropathy. Clin Exp Optom 2012;95(03):338-347. Doi: 10.1111/j.1444-0938.2012.00743.x
    » https://doi.org/10.1111/j.1444-0938.2012.00743.x
  • 26
    Niederer RL, Perumal D, Sherwin T, McGhee CNJ. Age-related differences in the normal human cornea: a laser scanning in vivo confocal microscopy study. Br J Ophthalmol 2007;91(09): 1165-1169. Doi: 10.1136/bjo.2006.112656
    » https://doi.org/10.1136/bjo.2006.112656
  • 27
    Kallinikos P, Berhanu M, O’Donnell C, Boulton AJM, Efron N, Malik RA. Corneal nerve tortuosity in diabetic patients with neuropathy. Invest Ophthalmol Vis Sci 2004;45(02):418-422. Doi: 10.1167/iovs.03-0637
    » https://doi.org/10.1167/iovs.03-0637
  • 28
    Tavakoli M, Mitu-Pretorian M, Petropoulos IN, et al. Corneal confocal microscopy detects early nerve regeneration in diabetic neuropathy after simultaneous pancreas and kidney transplantation. Diabetes 2013;62(01):254-260. Doi: 10.2337/db12-0574
    » https://doi.org/10.2337/db12-0574
  • 29
    Cruzat A, Qazi Y, Hamrah P. In Vivo Confocal Microscopy of Corneal Nerves in Health and Disease. Ocul Surf 2017;15(01): 15-47. Doi: 10.1016/j.jtos.2016.09.004
    » https://doi.org/10.1016/j.jtos.2016.09.004

Publication Dates

  • Publication in this collection
    21 Nov 2022
  • Date of issue
    Aug 2022

History

  • Received
    16 Sept 2021
  • Accepted
    06 Dec 2021
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