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(Investigative Ophthalmology and Visual Science. 2004;45:418-422.)
© 2004 by The Association for Research in Vision and Ophthalmology, Inc.
DOI:  10.1167/iovs.03-0637
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Corneal Nerve Tortuosity in Diabetic Patients with Neuropathy

Panagiotis Kallinikos,1 Michael Berhanu,2 Clare O’Donnell,1 Andrew J. M. Boulton,3 Nathan Efron,1 and Rayaz A. Malik3

1From Eurolens Research, Department of Optometry and Neuroscience, University of Manchester Institute of Science and Technology, Manchester, United Kingdom; the 2Department of Mathematics, University of Manchester, Manchester, United Kingdom; and the 3Department of Medicine, Manchester Royal Infirmary, Manchester, United Kingdom.


   Abstract
Top
 Abstract
Methods
 Results
 Discussion
 References
 
PURPOSE. Corneal confocal microscopy is a reiterative, rapid, noninvasive in vivo clinical examination technique capable of imaging corneal nerve fibers. Nerve fiber tortuosity may indicate a degenerative and attempted regenerative response of nerve fibers to diabetes. The purpose of this study was to define alterations in the tortuosity of corneal nerve fibers in relation to age, duration of diabetes, glycemic control, and neuropathic severity.

METHODS. The cornea and collected images of the subbasal nerve plexus of 18 diabetic patients (stratified into mild, moderate, and severe neuropathic groups using conventional clinical measures of neuropathy) and 18 age-matched nondiabetic control subjects were scanned, and a novel mathematical paradigm was applied to quantify the extent of nerve tortuosity, which was termed the tortuosity coefficient (TC).

RESULTS. TC was significantly different between the four clinical groups (F3 = 12.2, P < 0.001). It was significantly greater in the severe neuropathic group than in control subjects (P < 0.003) and in the mild (P < 0.004) and moderate (P < 0.01) neuropathic groups. TC did not correlate significantly with the age (r = -0.003, P > 0.05), duration of diabetes (r = -0.219, P > 0.05), or hemoglobin A1c (HbA1c; r = 0.155, P > 0.05) of diabetic patients.

CONCLUSIONS. Corneal confocal microscopy allows rapid, noninvasive in vivo evaluation of corneal nerve tortuosity. This morphologic abnormality relates to the severity of somatic neuropathy and may reflect an alteration in the degree of degeneration and regeneration in diabetes.

The accurate quantification of diabetic polyneuropathy is important to define at risk patients, anticipate deterioration, and assess new therapies.1 Electrophysiology and quantitative sensory tests both separately2 3 and as summated scores4 quantify neuropathic severity. However, these tests cannot discriminate damage and particularly repair to specific fiber types after intervention.2 3 4

Quantitative sensory tests of thermal and pain perception are proposed to assess small-fiber damage.2 3 4 However, we have recently shown no relationship between quantitative sensory tests and small myelinated or unmyelinated fiber damage and repair.5 Alternative, more accurate measures of nerve fiber damage and repair include nerve biopsy with electron microscopy6 and ex vivo confocal microscopy of skin biopsy specimens,7 but both are invasive procedures.

The cornea represents one of the most densely innervated tissues of the body.8 9 Corneal innervation provides protective and trophic functions10 11 12 13 for corneal repair in relation to disease, trauma, or surgery.14 Defining alterations in the corneal nerves has been limited. We have recently used corneal confocal microscopy to quantify corneal nerve morphology in normal subjects15 and have developed this application to show that alterations in fiber density and branching relate to the severity of somatic neuropathy in diabetic patients.16

Corneal nerves course through the stroma which is composed of collagen and substances such as fibronectin and proteoglycans.17 18 These substances are known to be upregulated in diabetes19 and influence axonal outgrowth and regeneration.20 Much of our knowledge on nerve regeneration is based on experiments after peripheral sciatic nerve crush which have demonstrated increased tortuosity of regenerating nerves particularly in older animals.21 Any direct comparison between a peripheral and cranial nerve must be interpreted with caution, as the regenerative response may differ in the two sites. In the present study, we used corneal in vivo confocal microscopy to quantify corneal nerve tortuosity and relate it to the severity of somatic diabetic neuropathy.


   Methods
Top
 Abstract
 Methods
Results
 Discussion
 References
 
Eighteen diabetic patients aged 58 ± 12 (mean ± SD) years underwent neuropathic severity evaluation and corneal in vivo confocal microscopic examination. Patients with any other known cause of neuropathy or previous corneal abnormality were excluded. In vivo confocal microscopy was performed on a further 18 age- and sex-matched control subjects. The research adhered to the tenets of the Declaration of Helsinki. Informed consent was obtained from all subjects after explanation of the nature and possible consequences of the study. The protocol used was approved by the Local Research Ethics Committee (Central) of Manchester Health Authority.

Neuropathic Severity Evaluation
All patients underwent a clinical history and neurologic examination to rule out any other cause of neuropathy or previous corneal abnormality. The neuropathy disability score (NDS) was based on a clinical scoring system obtained from a neurologic examination that defined abnormalities of vibration perception threshold (VPT) using a tuning fork, pin-prick perception, and temperature perception threshold (TPT), as well as the presence or absence of ankle reflexes, producing a score ranging from 0 to 10.22 23 Quantitative vibration and thermal assessment were performed with a sensory evaluator (Computer Aided Sensory Evaluator IV [CASE IV]; WR Medical Electronics Co., Stillwater, MN).24 An electromyogram (EMG) machine (model MS92a; Medelec Ltd., Old Woking Surrey, UK) was used to determine the peroneal motor nerve conduction velocity (PMNCV; in meters per second).

Patients were stratified into those with mild (NDS < 3; VPT < 25; PMNCV > 35), moderate (NDS, 3–6, VPT 25–35; PMNCV, 30–35), or severe (NDS > 6; VPT > 35; PMNCV < 30) neuropathy.

Confocal Microscopy
Patients were examined with a corneal in vivo confocal microscope (model P4, Confoscan; Tomey) in accordance with our established protocol.15 16 They were instructed to gaze straight ahead. A fixation target was attached to the chin and head rest to facilitate steady fixation. One eye of each subject was selected at random for examination, and several scans of the entire depth of the central cornea were made to acquire satisfactory images of all corneal layers providing three-dimensional images with a lateral resolution of approximately 1 to 2 µm and final image size of 768 pixels x 576 x 3 pixels. Three good-quality images of the subbasal nerve plexus were available for investigation in all diabetic patients and control subjects. The subbasal nerve plexus layer is of particular relevance for defining neuropathic changes because it is the location of the main nerve plexus that supplies the overlying corneal epithelium. The investigator who examined the cornea with the confocal microscope and who undertook morphometric measurements of the images of Bowman’s layer (PK) was masked with respect to the severity of neuropathy in the diabetic patients.

Image Processing
Digital images of the subbasal nerve plexus layer were processed using image-processing software (Scion Corp., Frederick, MD). The red-green-blue (RGB) color images were converted to 8-bit indexed color. A grip pen (Intuos; Wacom Technology Corp., Vancouver, WA) was used to trace manually in black, one nerve fiber at a time, along its axis, by selecting the pencil tool in the Toolbox window. Each image was then thresholded to 255 and the current gray-scale image was converted to binary, by setting pixels that had been highlighted by thresholding to black (255) and all other pixels to white (0), resulting in images where nerve fibers appeared black against a white background. Once the processed images had been saved in TIFF format, the TC was calculated with a computer program function that was created for this purpose (MatLab; The Mathworks, Natick, MA). The average TC was calculated for all nerve fibers, but not nerve branches, in all three images of each subject. When nerve fibers exhibited a branching pattern, then only the thickest branch was considered to be a continuation of the nerve fiber. The width of each branch was calculated by averaging three measurements of the diameter of the nerve branch.

TC Computation
Using the MatLab built-in function "im2double," we converted the image to an array (matrix) of numbers. The elements of the matrix were either zeros (background) or ones (nerve fiber). The coordinates of the nerve were the indices of the "nonzero" entries in the matrix, which were returned by the MatLab built-in function "find." A straight line that connected the end points of the nerve fiber was plotted, and the image was translated and rotated to the origin, to align the straight line with the x-axis.

The computation of TC of corneal nerves was based on the approach presented in a previous study,25 where the researchers proposed a quantitative index for evaluating arterial tortuosity, based on the second differences of the coordinates of the vessel midline.

In the present study we calculated TC for corneal nerves based on a series of simple mathematical calculations. Each corneal nerve was represented as the graph of a function. The derivative of a function f at a point x is a measure of the rate at which that function is changing as (one of) its independent variables change. This corresponds to the slope of the tangent to the graph of the function at that point. If we increase x by a small amount, dx, we can calculate f(x + dx).

We first considered equally spaced points xj on the straight line that connected the ends of the nerve. The approximation of the first derivative is given by the difference of two consecutive points on the nerve, divided by the step size (dx). The second derivative is calculated as the difference of two consecutive values of the first derivative, divided by the step size. The step size dx is the distance between the projections on the x-axis of two consecutive pixels of the nerve fiber. The value of dx is constant and equal to 1 pixel, because the number of columns in the matrix that have a nonzero entry is always the same as the number of x coordinates of the nerve fiber. The following equations give an approximation of the first and second derivatives in the interval (xjxj+1), respectively:


The first and second derivatives are squared and added. The sum is multiplied by the length of the interval (xj xj+1), to estimate the change in the direction of the nerve, within that interval. The sum of all the values is obtained and the square root taken. Once all the quantities have been computed, TC is calculated by the following formula:

where dx = xj+1 - xj, and f'(xj) and f"(xj) are the first and second derivatives at the point xj, respectively.

To test the validity of this approach, TC was calculated for four simple functions: (1) f(x) = sin(x); (2) f(x) = sin(2x); (3) f(x) = sin(4x); and (4) f(x) = x.

The TCs obtained for each function were (1) 2.5066, (2) 7.9265, (3) 29.2292 and (4) 0, respectively. This analysis verified that higher TCs are obtained for curves of greater tortuosity (frequency), whereas the TC for a straight line [f(x) = x] equals zero. The same TCs are obtained when the graphs of these functions are rotated at various angles, indicating that TC is independent of the angle of the nerve axis.

Statistical Analysis
A univariate analysis of variance (U-ANOVA) was conducted to compare the tortuosity of corneal nerves for the four clinical groups. Where differences within the clinical groups were established at P = 0.05 level, post hoc analysis was conducted using the least significant difference (LSD) test. Spearman’s correlation coefficient was computed to test for significant associations between the TC and age, duration of diabetes, and HbA1c of the diabetic patients. Correlation was set to be significant at P = 0.05.


   Results
Top
 Abstract
 Methods
 Results
Discussion
 References
 
The groups of patients were matched for age, type, and duration of diabetes and degree of glycemic control. The clinical details of study subjects and the measures of neuropathic severity assessed are shown in Table 1 . Diabetic patients demonstrated a progressive increase in vibration and thermal perception and a decrease in nerve conduction velocity with increasing neuropathic severity.


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  		TABLE 1. Clinical Details and Indices of Neuropathic Severity in Diabetic Patients and Nondiabetic Control Subjects

 
Qualitative assessment of the subbasal nerve plexus layer of a control subject demonstrates three fibers with a typical beaded appearance and normal tortuosity (Fig. 1) . In comparison, the subbasal nerve plexus layer of a diabetic patient with severe neuropathy demonstrates only one nerve fiber with a single branch and increased tortuosity (Fig. 2) .



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  		FIGURE 1. Confocal microscope image of Bowman’s layer in a control subject. Corneal nerve fibers demonstrate normal tortuosity.

 


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  		FIGURE 2. Confocal microscope image of Bowman’s layer in a diabetic patient with severe neuropathy. Corneal nerve displays greater tortuosity.

 
The TC was significantly different between the four clinical groups (F3 = 12.2, P < 0.001). Post hoc analysis demonstrated that the TC was significantly increased in the severely neuropathic group compared with control subjects (P < 0.003) and the mild (P < 0.004) and moderate (P < 0.01) neuropathic groups. In addition, TC for patients with moderate neuropathy was greater than that of the control subjects and the mild neuropathy group, but these differences were not statistically significant (Fig. 3) . The descriptive statistics for the TCs for the four clinical groups are presented in Table 2 .



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  		FIGURE 3. TC in control subjects and diabetic patients with mild, moderate and severe neuropathy. Shaded box: interquartile range (50% of the values); whiskers: lines that extend from the box to the highest and lowest values; midline: median. The TC was significantly different between the four clinical groups (F3 = 12.2, *P < 0.001).

 

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  		TABLE 2. Descriptive Statistics for TC, for Diabetic Patients with Mild, Moderate and Severe Neuropathy and Control Subjects

 
The TC was not significantly correlated with age (r = -0.003, P > 0.05), duration of diabetes (r = -0.219, P > 0.05), or HbA1c (r = 0.155, P > 0.05) among the diabetic patients.


   Discussion
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 Abstract
 Methods
 Results
 Discussion
References
 
The application of confocal microscopy to imaging the cornea provides a new approach to the study of corneal nerve morphology.26 27 It allows rapid, in vivo, noninvasive evaluation enabling prospective and reiterative examination of the human cornea in healthy subjects, contact lens wearers, patients who have had refractive surgery,27 and those with ocular and systemic disease.16 28

Corneal nerves have protective and trophic functions in the cornea.10 11 12 13 Anatomically, they extend from the ophthalmic division of the trigeminal nerve through the anterior ciliary nerves entering the middle third of the stroma to form the subbasal epithelial plexus anterior to Bowman’s layer and finally innervate the basal and superficial epithelial cell layer. Anatomic and immunohistological studies confirm the presence of catecholaminergic, adrenergic, and primarily nociceptive C fibers.8 9 10 11 12 13 These nerves respond primarily to noxious mechanical, thermal, and chemical stimuli; for example, application of topical capsaicin results in a 70% reduction in corneal nerve fiber density.29 Furthermore, recent studies in mutant mice in which TrkA-the high-affinity receptor for nerve growth factor (NGF) has been inactivated, demonstrate a marked reduction in response to mechanical, thermal, and chemical noxious stimuli and the number of nerve terminals in the cornea.30

After LASIK, the number of subbasal and stromal nerve fiber bundles decreases by 90% and, during the first year, reinnervation occurs but the number remains less than half of that before LASIK.31 These findings are of particular relevance to diabetic patients; Rosenberg et al.28 demonstrated a reduction in corneal nerve bundles and related it to loss of corneal sensation and severity of neuropathy in patients with type 1 diabetes. We have recently refined and extended these observations by demonstrating a significant reduction in corneal nerve fiber density suggestive of enhanced degeneration, together with a reduction in branching, suggestive of limited regeneration, which relates to measures of somatic neuropathy in diabetic patients.16 Corneal epithelial metabolism, cell adhesion, and wound healing depend on adequate corneal innervation.32 This may explain the significantly higher risk of development of postoperative epithelial complications and poorer refractive results in diabetic patients who undergo LASIK.14

The mechanisms governing corneal nerve integrity and hence their structure are potentially complex. In the corneal stroma, physical structures such as collagen, fibronectin, and proteoglycans19 33 as well as a number of growth factors including TGF-ß,34 fibroblast growth factor,35 and NGF36 have been shown to regulate nerve fiber damage and repair. This may be relevant, as many of these factors are upregulated in diabetes.19 The morphologic features of corneal nerve fiber degeneration and regeneration remain to be clearly delineated. However, recent studies have demonstrated a reduction in total nerve fiber and branch density, which has been related to loss of both somatic16 and corneal28 sensation. With regard to regeneration, sciatic nerve crush experiments have demonstrated increased tortuosity of regenerating nerves, particularly in older animals.21 Thus, increased tortuosity may represent a morphologic marker of nerve regeneration. The present work demonstrates increased tortuosity of corneal nerve fibers, which is independent of age, duration of diabetes, or glycemic control in diabetic patients with increasing severity of somatic neuropathy. Caution is advised on the functional and clinical relevance of this finding in relation to corneal sensation, especially with the small number of patients studied. Nevertheless, these observations provide further support for a significant impact of diabetes on corneal nerve integrity.


   Footnotes
 
Supported by Juvenile Diabetes Research Foundation International Grant 5-2002-185 and National Eye Institute Grant 1 R01 NS46259-01.

Submitted for publication June 23, 2003; revised October 2, 2003; accepted October 23, 2003.

Disclosure: P. Kallinikos, None; M. Berhanu, None; C. O’Donnell, None; A.J.M. Boulton, None; N. Efron, None; R.A. Malik, None

The publication costs of this article were defrayed in part by page charge payment. This article must therefore be marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.

Corresponding author: Rayaz A. Malik, Department of Medicine, Manchester Royal Infirmary, Oxford Road, Manchester M13 9WL, UK; rayaz.a.malik{at}man.ac.uk.


   References
Top
 Abstract
 Methods
 Results
 Discussion
 References
 

  1. Boulton AJM, Malik RA. Diabetic neuropathy. Med Clin North Am. 1998;82:909–929.[CrossRef][ISI][Medline][Order article via Infotrieve]
  2. Dyck PJ, O’Brien PC, Litchy WJ, Harper CM, Daube JR, Dyck PJ. Use of percentiles and normal deviates to express nerve conduction and other test abnormalities. Muscle Nerve. 2001;24:307–310.[CrossRef][ISI][Medline][Order article via Infotrieve]
  3. Arezzo JC. New developments in the diagnosis of diabetic neuropathy. Am J Med. 1999;30:9S–16S.
  4. Dyck PJ, Litchy WJ, Daube JR, et al. Individual attributes versus composite scores of nerve conduction abnormality: sensitivity, reproducibility, and concordance with impairment. Muscle Nerve. 2003;27:202–210.[CrossRef][ISI][Medline][Order article via Infotrieve]
  5. Malik RA, Veves A, Walker D, et al. Sural nerve fibre pathology in diabetic patients with mild neuropathy: relationship to pain, quantitative sensory testing and peripheral nerve electrophysiology. Acta Neuropathol (Berl). 2001;101:367–374.[Medline][Order article via Infotrieve]
  6. Greene DA, Arezzo JC, Brown MB. Effect of aldose reductase inhibition on nerve conduction and morphometry in diabetic neuropathy. Zenarestat Study Group. Neurology. 1999;53:580–591.[Abstract/Free Full Text]
  7. Holland NR, Stocks A, Hauer P, Cornblath DR, Griffin JW, McArthur JC. Intraepidermal nerve fibre density in patients with painful sensory neuropathy. Neurology. 1999;48:708–711.
  8. Müller LJ, Pels L, Vrensen GFJM. Ultrastructural organisation of human corneal nerves. Invest Ophthalmol Vis Sci. 1996;37:476–488.[Abstract/Free Full Text]
  9. Müller LJ, Vrensen GFJM, Pels L, Nunes Cardozo B, Willekens B. Architecture of human corneal nerves. Invest Ophthalmol Vis Sci. 1997;38:985–994.[Abstract/Free Full Text]
  10. Tervo T. Consecutive demonstration of nerves containing catecholamine and acetylcholinesterase in the rat cornea. Histochemistry. 1997;50:291–299.
  11. Tervo K, Tervo T, Eränkö L, Vannas A, Cuello AC, Eränkö O. Substance P-immunoreactive nerves in the human cornea and iris. Invest Ophthalmol Vis Sci. 1982;23:671–674.[Abstract/Free Full Text]
  12. Tovainen M, Tervo T, Partanen M, Vannas A, Hervonen A. Histochemical demonstration of adrenergic nerves in the stroma of human cornea. Invest Ophthalmol Vis Sci. 1987;8:398–400.
  13. Ueda S, Del Cerro M, Lo Cascio JA, Aquavella JV. Peptidergic and catecholaminergic fibres in the human corneal epithelium: an immunohistochemical and electron microscopic study. Acta Ophthalmol Suppl. 1989;192:80–90.
  14. Fraunfelder FW, Rich LF. Laser-assisted in situ keratomileusis complications in diabetes mellitus. Cornea. 2002;21:246–248.[CrossRef][ISI][Medline][Order article via Infotrieve]
  15. Oliveira-Soto L, Efron N. Morphology of corneal nerves using confocal microscopy. Cornea. 2001;20:374–384.[CrossRef][ISI][Medline][Order article via Infotrieve]
  16. 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;46:683–688.[ISI][Medline][Order article via Infotrieve]
  17. Meek KM, Fullwood NJ. Corneal and scleral collagens: a microscopist’s perspective. Micron. 2001;32:261–272.
  18. Grumet M, Flaccus A, Margolis RU. Functional characterization of chondroitin sulfate proteoglycans of brain: interactions with neurons and neural cell adhesion molecules. J Cell Biol. 1993;120:815–824.[Abstract/Free Full Text]
  19. Schaefer L, Raslik I, Grone HJ, et al. Small proteoglycans in human diabetic nephropathy: discrepancy between glomerular expression and protein accumulation of decorin, biglycan, lumican, and fibromodulin. FASEB J. 2001;15:559–561.[Free Full Text]
  20. Sykova E. Glial diffusion barriers during aging and pathological states. Prog Brain Res. 2001;132:339–363.[Medline][Order article via Infotrieve]
  21. Kawabuchi M, Chongjian Z, Islam AT, Hirata K, Nada O. The effect of aging on the morphological nerve changes during muscle reinnervation after nerve crush. Restor Neurol Neurosci. 1998;13:117–127.[ISI][Medline][Order article via Infotrieve]
  22. Young MJ, Boulton AJM, Macleod AF, Williams DRR, Sonksen PH. A multicentre study of the prevalence of diabetic peripheral neuropathy in the United Kingdom hospital clinic population. Diabetologia. 1993;36:150–154.[CrossRef][ISI][Medline][Order article via Infotrieve]
  23. Abbott CA, Carrington AL, Ashe H, et al. The North-West Diabetes Foot Care Study: incidence of, and risk factors for, new diabetic foot ulceration in a community-based patient cohort. Diabet Med. 2002;19:377–384.[CrossRef][ISI][Medline][Order article via Infotrieve]
  24. Dyck PJ, Zimmerman IR, Johnson DM, et al. A standard test of heat-pain responses using CASE IV. J Neurol Sci. 1996;136:54–63.[CrossRef][ISI][Medline][Order article via Infotrieve]
  25. Dougherty G, Varro J. A quantitative index for the measurement of the tortuosity of blood vessels. Med Eng Phys. 2002;22:567–574.
  26. McGhee CNJ, Keller PR. In vivo confocal microscopy of living tissue: the cornea at cellular level. Eyenews. 1998;5:14–20.
  27. Grupcheva CN, Wong T, Filey AF, McGhee CNJ. Assessing the sub-basal nerve plexus of the living healthy human cornea by in vivo confocal microscopy. Clin Exp Ophthalmol. 2002;30:187–190.[CrossRef][ISI][Medline][Order article via Infotrieve]
  28. Rosenberg ME, Tervo TM, Immonen IJ, Muller LJ, Gronhagen-Riska C, Vesaluoma MH. Corneal structure and sensitivity in type 1 diabetes mellitus. Invest Ophthalmol Vis Sci. 2000;41:2915–2921.[Abstract/Free Full Text]
  29. Fujita S, Miyazono Y, Ohba N. Capsaicin-induced corneal changes associated with sensory denervation in neonatal rat. Jpn J Ophthalmol. 1987;31:412–424.[Medline][Order article via Infotrieve]
  30. De Castro F, Silos-Santiago I, Lopez de Armentia M, Barbacid M, Belmonte C. Corneal innervation and sensitivity to noxious stimuli in trkA knockout mice. Eur J Neurosci. 1998;10:146–152.[CrossRef][ISI][Medline][Order article via Infotrieve]
  31. Lee BH, McLaren JW, Erie JC, Hodge DO, Bourne WM. Reinnervation in the cornea after LASIK. Invest Ophthalmol Vis Sci. 2002;43:3660–3664.[Abstract/Free Full Text]
  32. Beuerman RW, Schimmelpfennig B. Sensory denervation of the rabbit affects epithelial properties. Exp Neurol. 1980;69:196–201.[CrossRef][ISI][Medline][Order article via Infotrieve]
  33. Tanihara H, Inatani M, Koga T, Yano T, Kimura A. Proteoglycans in the eye. Cornea. 2002;21:S62–S69.[CrossRef][ISI][Medline][Order article via Infotrieve]
  34. Saika S, Saika S, Liu CY, et al. TGFbeta2 in corneal morphogenesis during mouse embryonic development. Dev Biol. 2001;240:419–432.[CrossRef][ISI][Medline][Order article via Infotrieve]
  35. Hsia E, Richardson TP, Nugent MA. Nuclear localization of basic fibroblast growth factor is mediated by heparan sulfate proteoglycans through protein kinase C signaling. J Cell Biochem. 2003;88:1214–1225.[CrossRef][ISI][Medline][Order article via Infotrieve]
  36. Lambiase A, Rama P, Bonini S, Caprioglio G, Aloe L. Topical treatment with nerve growth factor for corneal neurotrophic ulcers. N Engl J Med. 1998;338:1174–1180.[Abstract/Free Full Text]



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