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Investigative Ophthalmology & Visual Science logoLink to Investigative Ophthalmology & Visual Science
. 2010 Jan;51(1):160–171. doi: 10.1167/iovs.09-3429

Genetic Dependence of Central Corneal Thickness among Inbred Strains of Mice

Geoffrey D Lively 1, Bing Jiang 2,3, Adam Hedberg-Buenz 1, Bo Chang 4, Greg E Petersen 1, Kai Wang 5, Markus H Kuehn 2, Michael G Anderson 1,2,
PMCID: PMC2869057  PMID: 19710407

This study utilizes inbred strains of mice to demonstrate that murine central corneal thickness is highly influenced by genetic background. Mice with strain-dependent differences in corneal thickness were used to determine cellular and molecular factors that contribute to these differences.

Abstract

Purpose.

Central corneal thickness (CCT) exhibits broad variability. For unknown reasons, CCT also associates with diseases not typically considered corneal, particularly glaucoma. The purpose of this study was to test the strain dependence of CCT variability among inbred mice and identify cellular and molecular factors associated with differing CCT.

Methods.

Methodology for measuring murine CCT with ultrasound pachymetry was developed and used to measure CCT among 17 strains of mice. Corneas from three strains with nonoverlapping differences in CCT (C57BLKS/J, C57BL/6J, and SJL/J) were compared by histology, transmission electron microscopy, and expression profiling with gene microarrays.

Results.

CCT in mice was highly strain dependent. CCT exhibited continuous variation from 89.2 μm in C57BLKS/J to 123.8 μm in SJL/J. Stromal thickness was the major determinant of the varying murine CCT, with epithelial thickness also contributing. Corneal expression levels of many genes differed between strains with differing CCT, but most of these changes did not correlate with the changes observed in previously studied corneal diseases nor did they correlate with genes encoding major structural proteins of the cornea.

Conclusions.

Murine CCT has been measured with a variety of different techniques, but only among a limited number of different strains. Here, pachymetry was established as an additional tool and used to conduct a broad survey of different strains of inbred mice. These results demonstrated that murine CCT was highly influenced by genetic background and established a baseline for future genetic approaches to further elucidate mechanisms regulating CCT and its disease associations.


In the healthy human eye, central corneal thickness (CCT) exhibits a broad variability between different individuals and ethnicities. The normal human eye is expected to have a CCT of approximately 544 μm,1 but many eyes deviate substantially from this value. Part of this variability is ethnicity based. For example, African-Americans and Japanese tend to have thinner corneas than Caucasians or Hispanics.2 Factors beyond ethnicity presumably also contribute to CCT variability. Within ethnically matched cohorts, a substantial fraction of eyes have CCTs outside the range of 500 to 600 μm. These broad distributions and ethnicity-dependent differences in CCT have been observed repeatedly in several studies.27

More than a mere anatomic curiosity, these variations in CCT are thought to reflect minute differences in the function of many important physiologic processes and are also associated with several disease conditions.8 Physiologic processes influencing CCT occur within all layers of the cornea. Disruption of either the epithelial or endothelial layer causes corneal swelling, reflecting their important functions as barriers and regulators of water flux. Equally important is the corneal stroma. Approximately 90% of the total corneal thickness in humans is contributed by the thickness of the stroma, which largely consists of a matrix of collagen fibrils and interfibrillary substance produced by keratocytes.9 Pathologic events occurring within each of these layers have been linked to multiple corneal diseases, but the processes causing individual and ethnic differences in CCT among overtly healthy corneas remain largely unknown.

One approach to the study of the factors influencing CCT is through genetics. Several lines of evidence suggest that CCT is strongly influenced by heredity, including ethnic,2 twin,10 and familial studies.11,12 However, it is likely that CCT represents a polygenic trait and that identification of the individual contributing genes may be difficult in the human population. As with many complex phenotypes, genetic studies with inbred mouse strains offer a synergistic approach that has often been successful. We initiated such a genetic approach for studying CCT in inbred strains of mice. In previous studies murine CCT has been measured with a variety of approaches, but only within a relatively limited number of strains.1322 The purpose of this study was to conduct a broad strain survey of CCT among inbred strains of mice. To accomplish this, we first established ultrasound pachymetry as a valid tool for measuring murine CCT and then used pachymetry to study 17 different inbred mouse strains. Having identified strains free of overt corneal disease, but with nonoverlapping differences in CCT, we began to assess factors contributing to CCT regulation by comparing corneal histology and identifying gene expression patterns correlating with corneal thickness.

Methods

Mouse Husbandry

All mice were obtained from The Jackson Laboratory. The mice were subsequently housed and bred at the University of Iowa Research Animal Facility, maintained on a 4% fat NIH 31 diet provided ad libitum, and housed in cages containing dry bedding (Cellu-dri; Shepherd Specialty Papers, Kalamazoo, MI). The environment was kept at 21°C in a 12-hour light–12-hour dark cycle. All animals were treated in accordance with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research. All experimental protocols were approved by the Animal Care and Use Committee of The University of Iowa.

Slit Lamp Examination

Corneas and anterior chambers of conscious mice were examined with a slit lamp (SL-D7; Topcon, Tokyo, Japan) and photodocumented with a digital camera (D100; Nikon, Tokyo, Japan). All photographs were taken with identical camera settings and prepared with identical image software processing.

Ultrasound Pachymetry

Probe movements of the ultrasound pachymeter (Corneo-Gage Plus; Sonogage, Cleveland, OH) were controlled with a micromanipulator under the guidance of a dissecting microscope, to achieve perpendicular alignments between the probe and central cornea (the Corneo-Gage Plus ultrasound pachymeter has a small acceptance angle of 5%, which further helped to promote consistent perpendicular probe placement). Mice were anesthetized with a mixture of ketamine (100 mg/kg) and xylazine (10 mg/kg). Balanced salt solution (BSS; Alcon Laboratories, Inc., Fort Worth, TX) was applied to the eye to maintain a consistent tear film. CCT was measured by aligning the probe beside the pupil and gently moving it forward until the pachymeter began to record values. An average of 20 consecutive CCT measurements was recorded in each eye. Balanced salt solution was reapplied during recovery from anesthesia. Unless otherwise noted, values reported herein represent the mean ± SD. The number of eyes measured is reported for each experiment.

Analysis of Cryosections

Enucleated eyes were immediately embedded in medium (Tissue-Tek OCT Compound; Sakura Finetek USA, Inc., Torrance, CA). Sections (10-μm) were cut and transferred to glass slides using a tape system to avoid potential compression artifacts (CryoJane; Instrumedics, Inc., St. Louis, MO) and allowed to dry at room temperature for 15 minutes. Sections were judged to be central by the presence of the pupil and optic nerve. For initial experiments comparing pachymetry-recorded measurements versus thickness measured from cryosections, 10 consecutive unstained cryosections per eye of the central cornea were analyzed by light microscopy. For later experiments characterizing features of C57BLKS/J, C57BL/6J, and SJL/J corneas, cryosections of central cornea were stained with hematoxylin and eosin (H&E) and measurements were made with NIH ImageJ software (developed by Wayne Rasband, National Institutes of Health, Bethesda, MD; available at http://rsb.info.nih.gov/ij/index.html). Epithelial and stromal thicknesses were measured in five eyes per strain with two to four cryosections per eye. Stromal cell densities were calculated by collecting 400× images of the central corneal in three eyes per strain (two to four cryosections per eye) and counting the number of nuclei in each field.

Corneal Endothelial Cell Density

Enucleated eyes were dissected in phosphate-buffered saline (PBS), and a punch of central cornea was collected with a 2-mm biopsy punch (Miltex, Inc., York, PA). Corneal punches were stained with 1% alizarin red for 2 minutes and rinsed in PBS. Based on analysis of punches from four eyes per strain, endothelial cell density was estimated by measuring the area of 50 contiguous endothelial cells in each punch with NIH ImageJ software.

Plastic-Embedded Histology

The anterior cup of each eye was dissected, fixed overnight at room temperature with 2.5% glutaraldehyde in 0.1 M sodium cacodylate, and post-fixed with 1% osmium for 1 hour. A series of acetone dehydrations were performed followed by an infiltration protocol (Embed-812/DDSA/NMA/DMP-30; EMS, Hatfield, PA) for 24 hours. For light microscopy, 0.5-μm sections were cut with an ultramicrotome (UC6; Leica EM, Wetzler, Germany), and the sections were stained with 1% toluidine blue. For transmission electron microscopy (TEM), the same ultramicrotome was used to cut 100-nm sections. Postsectioning staining with uranyl acetate and Sato's lead stain was performed. A transmission electron microscope (JEM-1230; JEOL, Tokyo, Japan) equipped with CCD camera (USC1000 2Kx2K; Gatan, Pleasanton, CA) and located at the University of Iowa Central Microscopy Core Facility, was used to collect 15 images of each corneal layer from individual eyes of each strain. Collagen diameters were measured in cross section in TEM images from the anterior and posterior third of the stroma; measuring 10 fibers per image from six to nine images per strain. The percentage of overall CCT contributed by Descemet's membrane was calculated using TEM measurements of Descemet's membrane and the average cryosection-measured thickness for each strain.

Gene Expression Analyses

Gene expression profiling was performed on inbred mice from strains with thin (C57BLKS/J), intermediate (C57BL/6J), and thick (SJL/J) corneas. Enucleated eyes were dissected in PBS and a 2-mm punch of central cornea was collected. Two central corneal punches (left and right eyes) were pooled from each mouse to form one sample. Three samples were analyzed per strain. Corneal samples were homogenized (Tissue-Tearor; Biospec Products, Bartlesville, OK), RNA was extracted, treated with DNase I, and purified (Aurum Total RNA Mini Kit; Bio-Rad Laboratories, Hercules, CA). RNA yields were assessed by absorbance at 260 nm (NanoDrop 1000 Spectrophotometer; Thermo Scientific, Wilmington, DE) and the integrity confirmed on a bioanalyzer (Model 2100; Agilent Technologies, Inc., Palo Alto, CA). According to the manufacturer's recommended methodology, the DNA Core Facility of the University of Iowa converted RNA into biotin-labeled cRNA and probed arrays (GeneChip Mouse Genome 430 2.0 Arrays; Affymetrix, Santa Clara, CA).

Raw data obtained were normalized with the GCRMA algorithm.23 Genes that did not appear to be expressed (i.e., probesets that did not yield normalized values >100 in at least two samples) or did not display differences in expression (more than twofold expression difference between the lowest and highest value among all individuals) were removed from further analysis. The remaining values were log2-transformed and evaluated for expression differences using multiclass analysis within the statistical analysis for microarrays software package.24 Δ = 1.78 was chosen, which resulted in a false discovery rate of 0.06% based on 100 permutations. Data were further filtered to identify probesets with at least twofold differences in expression values between C57BLKS/J and SJL/J and intermediate values in C57BL/6J. To avoid exclusion of genes that are expressed at approximately equal levels between C57BL/6J and one of these strains, genes with expression values in C57BL/6J that were within 10% of the expression level of C57BLKS/J or SJL/J were also included. Statistical evaluations of expression changes for individual candidate genes were additionally performed with an unpaired two-tailed Student's t-test. Functional annotation clustering was performed with DAVID, a web-accessible program integrating functional genomic annotations from array data.25 The complete data sets contributing to the array analysis have been deposited in the National Center for Biotechnology Information's Gene Expression Omnibus under accession number GSE14270. Transcripts with elevated expression levels in C57BLKS/J and SJL/J were compared with previous microarray studies of laser-captured murine basal epithelial cells (GDS2433)26 and cultured murine corneal keratocytes (GDS857).27

Statistical Analysis

Unless stated otherwise, all P-values from statistical comparisons were calculated with an unpaired two-tailed Student's t-test.

Results

Accuracy and Reproducibility of Measuring Murine CCT with Pachymetry

Although not previously used to study murine CCT, ultrasound pachymetry offers several advantages, including noninvasiveness and a comparatively low instrument cost. The primary challenge in using pachymetry in mice is the small size of the mouse eye. Many commercially available instruments are designed for human use and are not able to record values in the thickness range expected of the mouse cornea (∼100 μm).15,20 However, some ultrasound pachymeters can be used intraoperatively to monitor flap thicknesses in LASIK eye surgery and can measure thicknesses as thin as 35 μm.28 Thus, we reasoned that some pachymeters might also be capable of measuring thickness of the relatively thin mouse cornea. To test this, we evaluated the performance of an ultrasound pachymeter (Corneo-Gage Plus; Sonogage) in measuring murine CCT in the widely used C57BL/6J strain.

Using a micromanipulator to promote consistent probe placement (Fig. 1A), we made serial measurements on each eye of anesthetized C57BL/6J mice. Despite the relatively large size of the probe with respect to the size of the mouse eye (Fig. 1B), CCTs near 100 μm were readily attained, which is consistent with previously reported CCTs of 91 to 105 μm for various strains of adult mice measured by optical low coherence reflectometry.16,20 The procedure with pachymetry was rapid, easy to perform, and well tolerated by the mice. Analysis of serial measurements recorded after a single probe placement yielded an average SD of 1.1 μm between measurements (n = 8 eyes, each with 20 serial measurements). Analysis of repeat measurements from individual eyes after repositioning of the mouse and independent placement of the probe yielded an average SD of 0.9 μm (n = 9 eyes of 44-day-old C57BL/6J males; comparing the average of 20 serial measurements in duplicate, means of test/retest measurements were 103.0 and 102.5 μm, respectively). These results indicated that ultrasound pachymetry is capable of measuring CCT in mice and can do so reproducibly.

Figure 1.

Figure 1.

Ultrasound pachymetry of mice. (A) Equipment used to measure murine CCT. (B) Pachymeter probe in contact with mouse cornea. (C) Bland-Altman plot indicating that CCT measured by pachymeter or cryosection yields similar values, though cryosection measurements are slightly thinner. Solid line: average difference; dotted lines: 95% limits of agreement (±1.96 SD); (○): 21-day-old mice; (●): 10-month-old mice.

Performance of ultrasound pachymetry was further tested by comparing measurements obtained by pachymetry to unfixed cryosections of the same eyes (Fig. 1C). Two groups of C57BL/6J mice were used; a group of young mice expected to have a relatively thin CCT (n = 10 eyes; 21-day-old mice) and a group of adult mice expected to have a somewhat thicker CCT (n = 10 eyes; 10-month-old mice). CCTs measured with these two methods were very similar, although cryosection measurements yielded consistently thinner values. The average difference of measurements between methods was slightly, but significantly, different from 0 (average cryosection − average pachymeter = −4.9 μm; P = 0.0019, paired two-tailed Student's t-test). To investigate whether the difference between these two methods was dependent on CCT, a linear regression was conducted using this difference as the dependent variable and the sum of the measurements from these two methods as the independent variable. The slope of the regression line was not significantly different from 0 (P = 0.28), indicating that there is no significant change in the difference between ultrasound pachymetry and cryosection measurements over a wide range of values.

Influence of Age, Sex, and Bodyweight to CCT in Adult Mice

Using a large cohort of C57BL/6J mice (n = 187 eyes; 3 weeks to 26 months old), we next used pachymetry to determine baseline CCT with respect to age (Fig. 2). In agreement with previous studies,29 CCT changed notably during the first month. Values from 3-week-old mice were significantly thinner than those of 4-week-old mice (93.6 and 99.1 μm, respectively; P = 0.0061). CCT measurements from mice 4 to 8 weeks old indicated a trend of subtle growth, although it was not statistically significant (99.1 and 103.2 μm, respectively; P > 0.05). Among all mice in these aging cohorts, no correlations between sex and CCT or bodyweight and CCT were detectable (P > 0.05 in all pair-wise comparisons).

Figure 2.

Figure 2.

Influence of age on CCT. Past 1 month of age, CCT remains relatively constant within C57BL/6J mice. There is a slight but statistically nonsignificant trend toward growth (P > 0.05 between all groups). Number of eyes per age group: <1 month (n = 44), 2–6 months (n = 33), 7–12 months (n = 46), 13–18 months (n = 52), and 19–26 months (n = 12). Mean ± SD.

Although ultrasound pachymetry was well tolerated by the mice, the experiments did uncover a minor caveat of the technique. Repeat measurements of an individual cornea sometimes caused a white corneal opacity to appear (after 10 weeks of weekly measurement, 32% of corneas exhibited opacities; n = 11 mice 3–13 weeks of age). By slit lamp examination, the opacities resembled band keratopathy and, in a sampling of eyes, were confirmed to contain calcium with von Kossa stain. The opacities evidently impeded sound waves from the ultrasound pachymeter from passing through the entire length of the cornea, resulting in artifactually thin CCTs (50–60 μm, the approximate depth of the opacity on histologic sections). Opacities were completely avoided by limiting the number of separate measurements per cornea to three measurements within three consecutive weeks. All values reported herein were from mice free of this induced corneal opacity.

CCT Differences between Inbred Strains of Mice

To test the extent to which genetic context influences CCT in mice, we next conducted a strain survey among a variety of different inbred strains of mice (Fig. 3). CCT exhibited a wide distribution among mice of these differing genetic backgrounds. Mean CCT ranged from 89.2 ± 6.6 μm in C57BLKS/J mice to 123.8 ± 6.2 μm in SJL/J mice, with a near continuous variation in other strains between these extremes. C57BL/6J mice had a CCT of 100.8 ± 5.7 μm; the overall average observed across all strains examined was 107.6 ± 9.0 μm. Considering the phylogenetic relationships known among inbred mouse strains,30,31 there was no readily apparent relationship between lineage and CCT. The two strains with thinnest CCTs (C57BLKS/J and PL/J) were not closely related to each other, nor were the strains with thickest CCTs closely related to each other (SJL/J and NZB/BlNJ). Combined, these results indicated that CCT is a genetically dependent trait in mice.

Figure 3.

Figure 3.

Strain survey of CCT in inbred mice. Among 17 stains of inbred mice, CCT was thinnest in C57BLKS/J mice (89.2 ± 6.6 μm), was thickest in SJL/J mice (123.8 ± 6.2 μm), and varied continuously between those thicknesses (mean ± SD). All mice were 100 to 120 days of age. Number of male/female eyes per strain: C57BLKS/J, 10/10; PL/J, 8/0; C57BL/6J, 14/6; CBA/CaJ, 8/0; BUB/BnJ, 4/26; 129S1/SvlmJ, 10/10; BALB/cJ, 0/8; A/J, 0/10; C57L/J, 0/10; FVB/NJ, 0/8; DBA/2J, 0/8; C3H/HeJ, 0/10; ALS/LtJ, 0/8; BALB/cByJ, 10/10; CE/J, 10/0; NZB/BINJ, 0/10; SJL/J, 8/12.

Comparative Analysis of Cellular Contributions to Differing CCTs

Having identified inbred strains with differing CCTs, we next selected three strains representing different points of the CCT spectrum for analyzing in more detail. Two strains from opposite ends of the survey (C57BLKS/J, thinnest; SJL/J, thickest), along with an intermediate strain (C57BL/6J), were analyzed to study anatomic features contributing to differing CCTs. The pachymetry measured CCTs of these three strains were significantly different from one other (C57BLKS/J versus C57BL/6J, P = 0.0103; C57BLKS/J versus SJL/J, P = 0.0002; and C57BL/6J versus SJL/J, P = 0.0058). Aside from the albinism associated with SJL/J mice, anterior chambers of all three strains appeared healthy and normal by slit lamp examination (Figs. 4A–C). With only rare exception, corneas of all three strains were clear at all ages examined (n = 14–18 eyes examined per strain, 3–4-month-old mice, a single C57BL/6J eye exhibited a cloudy cornea). Although SJL/J mice are albino, seven other strains included in the survey (PL/J, BUB/BnJ, BALB/cJ, A/J, FVB/NJ, ALS/LtJ, and BALB/cByJ) were also albino and exhibited widely dispersed CCTs. Thus, the albinism of SJL/J is likely to have little influence on CCT.

Figure 4.

Figure 4.

Comparative corneal anatomy of strains with differing CCTs. Representative images from C57BLKS/J, C57BL/6J, and SJL/J eyes. (AC) Slit lamp images indicated normal and healthy-appearing anterior chambers. (DF) Unfixed cryosections stained with H&E showed an absence of overt disease and that the epithelium and stroma both contribute to strain-specific differences in CCT. (GI) Glutaraldehyde-fixed, plastic-embedded sections stained with toluidine blue, again indicated an absence of corneal disease and contributions to CCT from both the stroma and epithelium. (JL) At higher magnification, plastic-embedded sections demonstrated differences in the thickness of the epithelium. There was a striking difference in the number of wing cells; C57BLKS/J, C57BL/6J, and SJL/J corneas had on average one, two, and three layers of wing cells, respectively. All three strains had a similar monolayer of columnar basal cells and three to four layers of flattened squamous cells. Brightness and contrast of (JL) were digitally modified, compared with (GI), for better visualization of the epithelium. (MO) Flatmounts stained with alizarin red showing greater cell density of corneal endothelial cells in SJL/J eyes than in C57BLKS/J or C57BL/6J eyes.

An absence of overt disease was further confirmed by an examination of unfixed cryosections stained with H&E (Figs. 4D–F). Both the stroma (C57BLKS/J, 73.9 ± 11.3 μm, n = 5 eyes; C57BL/6J, 74.1 ± 7.9 μm, n = 5; and SJL/J, 91.7 ± 9.2 μm, n = 5) and the epithelium (C57BLKS/J, 24.7 ± 6.3 μm, n = 5 eyes; C57BL/6J, 32.2 ± 5.8 μm, n = 5; and SJL/J, 42.2 ± 4.8 μm, n = 5) contributed to the strain-specific differences in CCT. The epithelial contribution to total CCT was similar in C57BL/6J and SJL/J mice (30.3% and 31.5% of total CCT, respectively), but was decreased in C57BLKS/J (25.1%). Estimates of stromal cell density followed CCT (C57BLKS/J, 1300 ± 540 cells/mm2; C57BL/6J, 1500 ± 70 cells/mm2; and SJL/J, 1900 ± 280 cells/mm2).

Corneas were further evaluated for potential anatomic features associated with differing CCT between strains, by examining glutaraldehyde-fixed, plastic-embedded sections of each strain with light microscopy (Figs. 4G–L). In all samples (n = 5 eyes per strain), differences in stromal and epithelial thickness were again apparent. Differences in epithelial thickness were primarily due to the number of wing cells present. C57BLKS/J, C57BL/6J, and SJL/J corneas had on average one, two, and three layers of wing cells, respectively. All three strains had a monolayer of columnar basal cells and three to four layers of flattened squamous cells.

In all analyses, the corneal endothelium of each strain was continuous throughout the cornea and did not appear to contribute to the strain-specific differences in CCT. However, endothelial cell density did differ between the strains (Figs. 4M–O). C57BLKS/J and C57BL/6J corneas displayed endothelial cell densities that were statistically equal, whereas the SJL/J density was significantly greater than the other strains. (All corneas analyzed were from mice 114 to 167 days of age. C57BLKS/J, 2282.6 ± 235.9 cells/mm2; C57BL/6J, 2296.6 ± 279.2 cells/mm2; and SJL/J, 3060.9 ± 194.1 cells/mm2. C57BLKS/J versus C57BL/6J, P = 0.94; C57BLKS/J versus SJL/J, P = 0.0022; and C57BL/6J versus SJL/J, P = 0.0041).

Several additional anatomic observations were made with TEM (Fig. 5). First, differing thickness of the stroma appeared to be due to an increased number of lamellae, and not to the thickness of each individual lamellae (Figs. 5A–C). Second, collagen fiber diameters were well organized and of uniform diameter among all three strains in both the anterior (Figs. 5D–F) and posterior (Figs. 5G–I) corneal stroma. Collagen fiber diameters in the anterior/posterior cornea for each strain were 31.5/32.4, 32.5/31.8, and 31.6/31.8 nm (n = 2, 1, and 2 eyes of mice 100 to 120 days of age; C57BLKS/J, C57BL/6J, and SJL/J, respectively). Finally, the thickness of Descemet's membrane correlated with overall corneal thickness (Figs. 5J–L), contributing 1.7%, 1.7%, and 2.0% to the overall corneal thickness (C57BLKS/J, C57BL/6J, and SJL/J, respectively). In sum, the findings of these comparative analyses demonstrated by multiple methods that the differences in CCT between these strains was not a simple consequence of an underlying corneal disease, but rather, that the differences reflected extremes of the normal physiological range of CCT exhibited by mice.

Figure 5.

Figure 5.

TEM of the corneal stroma and endothelium. Representative images from C57BLKS/J, C57BL/6J, and SJL/J eyes. (AC) There were no notable differences in architecture of the stromal lamellae or keratocytes. Rather, differences in CCT appeared to be due to an increased number of structurally normal-appearing lamellae. (DI) Collagen fibers in cross section from the anterior (DF) and posterior (GI) cornea are well organized and of uniform diameter. (JL) Thickness of Descemet's membrane (arrowheads) follows overall thickness of the cornea, although it is only responsible for a small portion of the corneal thickness.

Expression Array Profiles Associated with Differing CCT

The study of molecular mechanisms contributing to differences in CCT was begun by gene expression profiling of punches of central cornea from C57BLKS/J, C57BL/6J, and SJL/J mice that were 100 to 120 days of age. A genome-wide analysis of transcription levels was performed with mouse genome expression arrays. To help focus this experiment, we specifically searched for genes with expression levels correlating to CCT between these three strains. For example, because CCT manifests as SJL/J > C57BL/6J > C57BLKS/J, we hypothesized that genes promoting corneal thickness might exhibit expression values that are highest in SJL/J, intermediate in C57BL/6J, and lowest in C57BLKS/J. Conversely, genes limiting corneal thickness (such as matrix-degrading factors) would exhibit an opposite expression pattern (highest in C57BLKS/J, intermediate in C57BL/6J, and lowest in SJL/J).

This analysis resulted in the identification of many genes with expression levels correlating to CCT. Of the 45,037 probesets contained on the array, 17,097 probesets representing 10,395 unique genes were expressed in the cornea of at least two individuals. Of these, 376 unique genes were identified as differentially expressed between the three mouse strains. There were 142 genes with expression levels correlated to CCT; 87 genes with highest expression in SJL/J (Table 1) and 55 genes with highest expression in C57BLKS/J (Table 2). Differentially expressed genes included genes shown by others to be expressed by multiple corneal cell types, including epithelial cells26 and keratocytes.27 Transcripts more prevalent in SJL/J cornea can be assigned to several functional groups, including development, oxidoreductase activity, secreted/ECM, signal transduction, transcriptional regulation, and protein transport. Of interest, all the same functional groups were also present among transcripts more prevalent in C57BLKS/J cornea, but with different gene members. Several transcripts more prevalent in C57BLKS/J cornea were also related to the functional group immune response.

Table 1.

Transcripts Correlating to CCT with Elevated Expression in SJL/J Mice

Gene Symbol Gene Names C57BLKS/J C57B1/6J SJL/J Change (x-fold) E/K
Development
BC024561 cDNA sequence BC024561 2.0 2.0 7.2 36.1
Ceacam10 CEA-related cell adhesion molecule 10 2.2 3.2 11.2 486.6
Clec2g C-type lectin domain family 2, member g 7.5 8.3 10.0 5.5
Klf9 Kruppel-like factor 9 4.9 8.6 8.7 13.7
Lpin1 Lipin 1 6.3 8.2 8.3 3.9
Map3k7 Mitogen activated protein kinase kinase kinase 7 8.5 9.6 9.6 2.3 K
Nif3l1 Nggl interacting factor 3-like 1 6.7 8.6 8.5 3.4
Spon1 Spondin 1 6.4 9.5 11.5 34.1
Oxidoreductase Activity
4833423E24Rik RIKEN cDNA 4833423E24 gene 2.3 2.3 7.1 28.3
Cyp17a1 Cytochrome P450, 17a1 2.3 2.3 7.2 28.9
Cyp24a1 Cytochrome P450, 24a1 7.5 9.4 11.0 11.4 E
Ero1l ERO1-like 9.8 10.0 12.6 6.8 K
LOC547349 Similar to MHC class 1 antigen precursor 2.6 2.6 9.1 88.3
Mlstd2 Male sterility domain containing 2 9.3 11.2 11.6 4.8
Mogat1 Monoacylglycerol O-acyltransferase 1 2.8 3.7 7.2 21.1
Txnl5 Thioredoxin-like 5 4.9 6.9 6.9 3.9
Secreted/ECM
Ccl28 Chemokine (C–C motif) ligand 28 2.3 2.3 10.4 283.3
Csn3 Casein kappa 2.7 3.0 8.8 68.7
D930028F11Rik RIKEN cDNA D930028F11 gene 3.2 3.8 11.7 365.3
LOC547343 H-2 class 1 histocompatibility antigen, L-D alpha 7.9 8.4 10.8 7.3
Sectm1b Secreted and transmembrane 1B 2.2 2.2 7.0 27.6
Tm7sf3 Transmembrane 7 superfamily member 3 5.8 7.7 7.7 3.8 K
Tmem45b Transmembrane protein 45b 4.0 5.4 10.6 94.1
Signal Transduction
2610305D13Rik RIKEN cDNA 2610305D13 gene 2.5 2.5 8.1 48.5
A630033E08Rik RIKEN cDNA A630033E08 gene 2.3 8.4 9.0 107.5
E2f6 E2F transcription factor 6 4.5 7.7 8.9 21.2
Pld2 Phospholipase D2 7.8 9.0 9.0 2.4 E/K
Sh3rf1 SH3 domain containing ring finger 1 4.9 7.7 7.8 7.3 K
Snx6 Sorting nexin 6 2.3 8.0 9.2 116.2 K
Stk35 Serine/threonine kinase 35 10.0 10.2 12.5 5.7
Transcriptional Regulation
Polr3gl Polymerase (RNA) III polypeptide G 4.4 4.4 7.6 9.3
Rbpms2 RNA binding protein with multiple splicing 2 3.7 8.1 8.5 26.9
Ssu72 RNA polymerase II CTD phosphatase homolog 2.3 2.3 7.2 30.1 K
Zfp277 Zinc finger protein 277 7.7 9.6 10.0 5.2 K
Pcm1 Pericentriolar material 1 2.3 2.3 8.2 58.7
Trove2 TROVE domain family, member 2 3.8 4.0 7.9 17.1
Protein Transport
Epb4.111 Erythrocyte protein band 4.1-like 1 8.6 8.6 11.3 6.8
LOC631721 Similar to vacuolar protein sorting 52 6.3 7.9 8.4 4.1
Pldn Pallidin 5.1 5.0 9.3 18.9
Slc4a7 Sodium bicarbonate transporter 2 7.2 9.2 9.2 4.0 E/K

Expression levels are given as log2 values, showing 40 of 87 total. E/K column identifies transcripts expressed in previous microarray studies. E, transcripts expressed in laser captured murine basal epithelial cells (GDS2433); K, transcripts expressed in cultured murine corneal keratocytes (GDS857).

Table 2.

Transcripts Correlating to CCT with Elevated Expression in C57BLKS/J Mice

Gene Symbol Gene Name C57BLKS/J C57BL/6J SJL/J Change (x-fold) E/K
Development
Apoe Apolipoprotein E 12.4 11.2 8.7 12.4 K
Apod Apolipoprotein D 9.1 8.6 2.3 114.2
Ext1 Exostoses (multiple)1 8.0 7.8 2.0 63.9 K
Ngfr Nerve growth factor receptor 9.3 9.2 7.2 4.5
Otx1 Orthodenticle homolog 1 (Drosophila) 11.5 9.9 6.3 35.3
Rhou Ras homolog gene family, member U 9.8 9.6 7.9 3.8 K
Scmh1 Sex comb on midleg homolog 1 8.5 7.8 5.3 8.7 E/K
Tmie Transmembrane inner ear 10.0 9.4 6.7 9.8
Ptpn21 Protein tyrosine phosphatase, non-receptor type 21 8.9 7.8 6.5 5.6
Oxidoreductase Activity
Akr1e1 Aldo-keto reductase family 1, member E1 11.2 10.8 8.6 6.1
Cyp2a4 Cytochrome P450, family 2, subfamily a, polypeptide 4 9.3 7.8 3.6 54.2
Efcbp1 EF hand calcium binding protein 1 8.0 7.8 4.0 16.1
Htatip2 HIV-1 tat interactive protein 2 8.0 7.5 2.3 50.6 K
Mod1 Malic enzyme, supernatant 7.5 7.1 4.9 6.1
Secreted/ECM
Fmod Fibromodulin 9.6 8.5 4.6 33.1 E/K
Gpc4 Glypican 4 10.8 9.2 8.1 6.4 K
Signal Transduction
6430701C03Rik RIKEN cDNA 6430701C03 gene 6.8 6.5 3.7 9.0
Kcnh1 Potassium voltage-gated channel, H1 8.0 7.4 5.6 5.3
Lrig1 Leucine-rich repeats and Ig-like domains 1 9.1 9.0 3.4 54.2
Map3k6 Mitogen-activated protein kinase kinase kinase 6 11.8 11.7 9.6 4.5
Poqr8 Progestin and adipoQ receptor family member VIII 6.6 6.2 3.1 11.4 E
Synj2bp Synaptojanin 2 binding protein 11.0 10.6 8.8 4.6 K
Transcriptional Regulation
Ccdc122 Coiled-coil domain containing 122 9.5 9.4 3.6 61.0
Rbm39 RNA binding motif protein 39 9.3 8.9 4.6 26.3 E/K
Ssbp2 Single-stranded DNA binding protein 2 9.5 9.1 3.7 53.2 K
Protein Transport
Abhd10 Abhydrolase domain containing 10 8.6 8.1 6.8 3.5
Chit1 Chitinase 1 (chitotriosidase) 9.8 8.4 6.4 10.1
Ctsl Cathepsin L 10.4 10.1 2.6 216.9 E/K
H2-D1 Histocompatibility 2, D region locus 1 8.9 2.5 2.6 80.7 K
Ptpn21 Protein tyrosine phosphatase, non-receptor type 21 9.0 7.8 6.5 5.6 K
Serping1 Serine peptidase inhibitor 1, clade G 11.7 11.6 10.6 2.2 K
Skiv212 Superkiller viralicidic activity 2-like 2 7.8 2.4 2.5 40.3
Upb1 Ureidopropionase, beta 8.7 7.1 2.5 72.6
Usp48 Ubiquitin specific peptidase 48 8.1 7.6 3.4 25.5
Immune Response
Creb312 cAMP responsive element binding protein 3-like 2 8.7 8.3 6.9 3.6
H2-Ea Histocompatibility 2, class II antigen E alpha 7.6 2.1 2.2 44.9
Il1f8 Interleukin 1 family, member 8 6.5 4.9 2.4 17.0 E
Il1rn Interleukin 1 receptor antagonist 9.4 8.5 6.4 8.2 K
Pttg1 Pituitary tumor-transforming 1 11.5 11.2 9.1 5.3 E
Serping1 Serine peptidase inhibitor 1, clade G 11.7 11.6 10.6 2.2

Expression levels are given as log2 values, showing 40 of 55 total. E/K column identifies transcripts expressed in previous microarray studies. E, transcripts expressed by laser captured murine basal epithelial cells (GDS2433); K, transcripts expressed by cultured murine corneal keratocytes (GDS857).

Because transcripts maintained at relatively high expression levels may be particularly attractive candidates for regulating CCT, array data were also analyzed to identify genes with the highest expression levels (Table 3). Consistent with previous analyses of mouse corneal gene expression,32 our analysis detected high transcript levels of transketolase; aldehyde dehydrogenase family 3, A1; thymosin, beta 4; glutathione S-transferase omega 1; and many other genes. None of the highly expressed transcripts were also significantly correlated with CCT (compare Table 3 with Tables 1 and 2). Genes with highest levels of corneal transcript expression had limited correlation to the currently known most prevalent corneal proteins.33 Genes encoding highly prevalent corneal proteins also tended to not be significantly correlated with differences in CCT (comparing the results of Karring et al.33 to Tables 1 and 2); only two of the genes encoding the 141 proteins of the known corneal proteome also correlated significantly with CCT (apolipoprotein D and apolipoprotein E, both expressed at higher levels in C57BLKS/J than SJL/J).

Table 3.

Transcripts with Highest Measured Expression

Gene Symbol Gene Name Mean SD
Gsta4 Glutathione S-transferase, alpha 4 13.3 0.15
Tmsb4x Thymosin, beta 4, X chromosome 13.1 0.12
A830036E02Rik RIKEN cDNA A830036E02 gene 13.0 0.19
Slurp1 Secreted Ly6/Plaur domain containing 1 13.0 0.15
Aqp5 Aquaporin 5 12.9 0.15
S100all S100 calcium binding protein All (calizzarin) 12.9 0.14
Eroll ERO1-like 12.8 0.14
Aldh3a1 Aldehyde dehydrogenase family 3, A1 12.8 0.15
Perp PERP, TP53 apoptosis effector 12.8 0.21
Tkt Transketolase 12.8 0.15
4930583H14Rik RIKEN cDNA 4930583H14 gene 12.7 0.16
Mal Myelin and lymphocyte protein 12.7 0.20
Txn1 Thioredoxin 1 12.7 0.23
Tpt1 Tumor protein, translationally controlled 1 12.7 0.14
Anxa2 Annexin A2 12.7 0.12
Sdc1 Syndecan 1 12.7 0.20
Pebp1 Phosphatidylethanolamine binding protein 1 12.7 0.12
Actg1 Actin, gamma, cytoplasmic 1 12.7 0.18
1100001122Rik RIKEN cDNA 1100001122 gene 12.7 0.14
Fth1 Ferritin heavy chain 1 12.7 0.20
Lypd2 Ly6/Plaur domain containing 2 12.6 0.16
Gsto1 Glutathione S-transferase omega 1 12.6 0.31
Csda Cold shock domain protein A 12.6 0.17
Hk1 Hexokinase 1 12.6 0.13
S100a6 S100 calcium binding protein A6 (calcyclin) 12.6 0.16
Stfa3 Stefin A3 12.6 0.19
Uba52 Ubiquitin A-52 protein fusion 1 product 12.6 0.15
Krt6a Keratin 6A 12.6 0.17
Tegt Testis enhanced gene transcript 12.6 0.15
Krt6b Keratin 6B 12.6 0.24
Vdac1 Voltage-dependent anion channel 1 12.6 0.21
Actb Actin, beta, cytoplasmic 12.6 0.17
Mrfap1 Morf4 family associated protein 1 12.5 0.12
Cd24a CD24a antigen 12.5 0.16
Eef1b2 Eukaryotic translation elongation factor 1b2 12.5 0.20
Hmgn1 High mobility group nucleosomal binding 1 12.5 0.18
Dsp Desmoplakin 12.5 0.16
Eeflal Eukaryotic translation elongation factor 1a1 12.5 0.15
LOC622534 Similar to ribosomal protein L36 12.5 0.13
Fan Finkel-Biskis-Reilly murine sarcoma virus 12.5 0.13
Cox7a2 Cytochrome c oxidase, subunit Vlla 2 12.5 0.13
Ahnak AHNAK nucleoprotein (desmoyokin) 12.5 0.18
A2m alpha-2-macroglobulin 12.5 0.15
Gnb2l1 guanine nucleotide binding protein b2 like 1 12.5 0.12
Dynll1 Dynein light chain LC8-type 1 12.5 0.15
Eif1 Eukaryotic translation initiation factor 1 12.5 0.23
Prdx1 Peroxiredoxin 1 12.5 0.18
Arf6 ADP-ribosylation factor 6 12.5 0.19
Dcn Decorin 12.4 0.15
Hspa1b Heat shock protein 1B 12.4 0.34

Expression levels are given as log2 values, showing top 50 transcripts as identified by individual probesets yielding the highest signal averaged across all nine arrays. Genes encoding ribosomal proteins and poorly annotated transcripts have been removed.

In testing for the presence of smaller magnitude, but perhaps still biologically important differences, expression levels of several candidates were also examined individually for differential corneal expression between C57BLKS/J and SJL/J mice. Most candidates examined failed to demonstrate significant differences in expression (all present probesets P > 0.01), including collagen, type I, α1; collagen, type V, α1; collagen, type VI, α1; keratocan; gelsolin; lumican; and transforming growth factor β1. Analysis of candidates potentially influencing the corneal epithelium, such as genes encoding keratins, were also largely negative, with the exception of two transcripts both expressed at higher levels in C57BLKS/J than SJL/J corneas, keratin 4 (2.2-fold, P = 0.007) and keratin 13 (3.2-fold, P = 0.0002). The interesting CCT candidates forkhead box C1 (Foxc1) and paired-like homeodomain transcription factor 2 (Pitx2), which when mutant both contribute to Axenfeld-Rieger malformations and altered corneal thickness,13,34 were also unchanged in this experiment. Combined, these results identified several candidates worthy of further consideration for potentially influencing CCT, but broadly suggested that the genes influencing CCT may not necessarily be those with highly abundant transcript or protein levels, nor were they easily ascribed to known pathways. Rather, the transcriptional events accompanying changes in CCT were complex and involved multiple classes of biological events.

Discussion

In humans, CCT exhibits a broad biological variability. With an estimated heritability of 0.95, CCT in humans is strongly influenced by genetic effects.10 In this study, we demonstrated that the same is also true of mice. Among 17 different inbred strains of mice, CCT ranged from a low of 89.2 μm in C57BLKS/J mice to a high of 123.8 μm in SJL/J mice. Because CCT exhibits a continual variation in different strains of inbred mice between these extremes, these data suggest that CCT is under multigenic influence. Identification of these strains will empower future genetic experiments to identify genes regulating CCT, and as demonstrated in this study, such experiments represent a powerful resource for studying the cellular and molecular changes associated with CCT variability.

We initially focused on studying events in C57BLKS/J, C57BL/6J, and SJL/J corneas. A priori, there are few clues as to why these strains might exhibit such different CCT values. At the cellular level, it is clear that differences in the corneal epithelium and stroma both contribute to differences in CCT between these strains. As in humans, the mouse corneal stroma constitutes the largest portion of the corneal thickness. The stroma largely consists of a highly structured extracellular matrix with collagen fibrils arranged in lamellar sheets extending the entire length of the cornea. Within each lamellae, the collagen fibrils are oriented in the same direction, are of equal diameter, and have uniform spacing. If one of these parameters does not occur, the cornea will typically become cloudy. Based on our histologic analysis, and because the corneas of C57BLKS/J, C57BL/6J, and SJL/J mice are clear, strain-dependent changes in CCT do not appear to involve gross alterations in the architecture or spacing of the collagen fibers. Rather, differing CCTs among these strains appears to result from changes in the number of normal-appearing stromal lamellae. Presumably, a consequence of altered keratocyte function, we speculate that the C57BLKS/J and SJL/J genetic backgrounds harbor alleles influencing the function of these cells. Ongoing experiments are testing this directly. Also of interest, we observed that epithelial thickness contributes significantly to murine CCT. A similar observation has been made in mice with a targeted mutation of Pitx2.13

Expression profiling offers one approach for identifying molecular pathways potentially contributing to these differences in CCT. Among the individual transcripts with altered corneal expression between C57BLKS/J and SJL/J mice, there are several interesting observations. First, among the transcripts correlating to CCT, a few genes have been investigated as potentially influencing corneal structure, including fibromodulin35 and kruppel-like factor 9.36 Additional experiments are needed to determine whether these or any of the other detected changes are causative factors or markers of differing CCT. Second, also present among the CCT-correlated transcripts are several with very large changes in expression. Some of these changes are likely to indicate the presence of strain-specific alleles resulting in message instability (such as premature stop codons), but to our knowledge no such single-nucleotide-polymorphisms (SNPs) have yet been described in these genes. Third, keratin 4 (a type I keratin) and keratin 13 (a type II keratin), encoding proteins that are frequently found together in epithelia,37 are both modestly but significantly expressed at higher levels in C57BLKS/J corneas. Finally, changes in corneal genes potentially important in other corneal diseases, but with no known links to corneal structure, were detected. For example, apolipoprotein E, which is expressed at higher levels in the C57BLKS/J cornea, has been shown to influence ocular herpes pathogenesis.38 Independent of a potential role related to corneal thickness, knowledge of these strain-specific differences may prove useful in the study of additional corneal phenotypes.

Another class of interesting candidate CCT-regulatory genes pertains to electro-osmosis in the cornea. Fluid transport across the corneal endothelium and epithelium is a key mechanism that promotes corneal clarity and CCT constancy. Because of the high water-binding capacity of proteoglycans, the stroma has a natural tendency to imbibe water and swell. Under normal conditions, stroma-to-aqueous fluid transport by the endothelium opposes stromal swelling, promoting a relatively dehydrated stromal matrix of regularly spaced collagen fibers. Although much remains unknown about the details of endothelial transport, several candidates participating in transport have been suggested, including: Na+/K+-ATPase (such as ATPA1A); Na+/HCO3 cotransporter (such as SLC4A4, commonly referred to as NBC1); aquaporins (AQP1, -3, and -5), cystic fibrosis transmembrane conductance regulator (CFTR); and epithelial sodium channels (such as SCNN1A, -B, and -G). In mice, aquaporins have been shown to regulate corneal water movement both in the epithelium (AQP3 and -5) and endothelium (AQP1),39,40 and have been shown to affect corneal thickness. Aqp1-null mice have a cornea approximately 20% thinner than that of wild-types, whereas Aqp5-null mice are approximately 20% thicker.40,41 Although it was not highlighted by our current experiments examining differences in corneal gene expression between mouse strains with differing CCTs, genes influencing fluid transport of the corneal endothelium and epithelium nonetheless remain promising candidates for CCT regulation.

Among the most intriguing facets of CCT variability in humans is the association between CCT and glaucoma. In the Ocular Hypertension Treatment Study, a multicenter randomized study involving 1636 participants with ocular hypertension, participants with a CCT of 555 μm or less had a threefold greater risk of primary open-angle glaucoma compared with participants who had a CCT of more than 588 μm.3,4244 Additional support of a role for CCT in glaucoma risk has also been found in subsequent studies.45 The reasons that CCT correlates with glaucoma risk in humans remain hotly debated. One hypothesis suggests that differing CCT creates artifacts in intraocular pressure (IOP) measurement (because applanation assumes that corneal thickness and rigidity are constant between people).3 Accordingly, the differing glaucoma risk reflects the possibility that people with thin corneas have had IOP much higher than that actually measured. However, other data suggest that the correlation is more complex. Even after correcting IOP measurements for the true IOP, thinner CCT remains associated with worse glaucoma outcomes.46 Therefore, a second hypothesis worthy of consideration is that there may be biological correlates caused by molecules that influence both CCT and some other tissue more directly involved in glaucomatous disease, such as the trabecular meshwork, retinal nerve fiber layer, or lamina cribrosa.47,48 Perhaps one of the most important avenues that can stem from the work presented herein is the opportunity to identify CCT-regulating genes and experimentally test hypotheses such as these directly.

Before our work, a variety of other approaches have been used to noninvasively measure CCT among a limited number of strains.1518,2022 Although successful, each of these past approaches has also required relatively expensive instrumentation that most investigators do not have access to within their animal facilities. One advance from the current work is the demonstration that the ultrasound pachymeter (Corneo-Gage Plus; Sonogage) is also capable of reproducibly measuring CCT in different strains of mice. Because ultrasound pachymeters are comparatively inexpensive, addition of this technique to those already existing for measuring murine CCT is a useful advance. However, pachymetry is not without potential disadvantages. The steep curvature of the mouse cornea renders pachymetry prone to error. Although we have not performed side-by-side comparisons, we suspect that non–contact-based methods such as interferometry may be superior to pachymetry for measuring murine CCT in many instances; our results show only that pachymetry is sufficient for uses such as the strain survey performed here. Also, the mouse and human cornea are similar, but not identical. Species-specific differences in how CCT is maintained may exist and limit the ability to translate insights from mouse studies to humans. These drawbacks aside, continued studies of the cellular and molecular events regulating the strain-specific differences in CCT identified herein are likely to uncover many processes that are evolutionarily conserved in the human cornea and that add new insight into the basic biological events that regulate complex extracellular matrices such as the corneal stroma.

In conclusion, we have developed a methodology for measuring murine CCT with ultrasound pachymetry, performed a strain survey, and characterized the cornea of three strains at differing points of the murine CCT spectrum that are free of overt corneal disease. Because these strains have inherent genetic diversity, they represent an ideal resource for genetic crosses mapping loci that influence CCT. In our ongoing work, we intend to complete these crosses, identify genes regulating CCT, and ultimately study the mechanisms by which these genes influence CCT and glaucoma susceptibility.

Acknowledgments

The authors thank Alan Burns (Baylor College of Medicine) for helpful technical suggestions regarding corneal processing for histology, and John Fingert and Wallace Alward (University of Iowa) for helpful suggestions and advice regarding ultrasound pachymetry. The authors are especially grateful for helpful discussions with the late Norm Hawes of The Jackson Laboratory.

Footnotes

Supported by National Glaucoma Research, a program of the American Health Assistance Foundation, and National Eye Institute Grant EY018825.

Disclosure: G.D. Lively, None; B. Jiang, None; A. Hedberg-Buenz, None; B. Chang, None; G.E. Petersen, None; K. Wang, None; M.H. Kuehn, None; M.G. Anderson, None

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