Abstract
PURPOSE
Diabetes mellitus (DM) is characterized by high blood sugar levels over a prolonged period. Long term complications include but not limited heart disease, stroke, kidney failure, and ocular damage. An estimated 382 million people are diagnosed with Type 2 DM accounting for 90% of the cases. Common corneal dysfunctions associated with DM result in impaired vision due to decreased wound healing, corneal edema, and altered epithelial basement membrane. Lipids play a fundamental role in tissue metabolism and disease states. We attempt to determine the role of sphingolipids (SPL) in human Type I and Type II diabetic corneas.
MATERIALS AND METHODS
Cadaver corneas from healthy (non-diabetic/no ocular trauma), Type I (T1DM), and Type II diabetic (T2DM) donors were obtained and processed for lipidomics using LC-MS/MS.
RESULTS
Our data show significant differences in the SPL composition between control, T1DM and T2DM corneas. Both T1DM and T2DM showed a 10-fold downregulation of sphingomyelin (SM), 5-fold up regulation of Ceramides (Cer) and 2-fold upregulation of monohexosylceramides (MHC). Differences were also seen in total amounts of SPL where Cer was increased by approximately 3 fold in both T1DM and T2DM where SM decreased by 50% in both T1DM and T2DM when compared to healthy controls. No differences were seen in MHC amounts.
CONCLUSIONS
Overall, our data indicate major differences in SPL distribution in human diabetic corneas. Information on the sphingolipids role in cornea, corneal cell physiology, and diseases are very limited which highlights the importance of these findings.
Keywords: Diabetes, Cornea, Lipidomics, Sphingolipids
Introduction
Diabetes mellitus (DM) or better known as simply diabetes is a group of metabolic diseases in which high blood sugar levels are maintained over a prolonged period. Long term complications include but not limited heart disease, stroke, kidney failure, and ocular damage (1, 2). Common corneal dysfunctions associated with diabetes result in impaired vision due to decreased wound healing, corneal edema, and an altered epithelial basement membrane. There are two main types of diabetes: Type 1 (T1DM) and Type 2 (T2DM). In 2013, an estimated 382 million people were diagnosed with diabetes with type 2 accounting for 90% of the cases. Approximately 70% of them suffer from some kind of corneal complications collectively and commonly known as diabetic keratopathy (3–6).
The diabetic cornea suffers from cellular dysfunction and dysfunctional wound healing/repair mechanisms (7–10). Clinically, we have no preventive measure for T1DM diabetes, while T2DM can be managed by means of physical exercise, control weight, and healthy diet (11–14). Even then, the effect on the cornea will depend on the severity of the disease and the stage at which it was diagnosed. Diabetes is a chronic disease and corneal impairments are almost inevitable. Once the eye has been exposed to hyperglycemia long-term, the basement membrane has accumulated enough toxic end products that lead to cell death, opacity, and eventually vision impairment (4, 15–18).
Scientists have concentrated, for years, on animal studies and have developed a variety of animal models both for T1DM (19–31) and T2DM diabetes (32–39). However, there is a significant lack of reproducible paradigms of human diabetic complications and rather disappointing results of studies aimed to prevent T1DM diabetes based on treatments developed successfully in rodents. Understanding the phenotype and characteristics of the human diabetic cornea it is crucial for the development of new therapeutics.
Our study shows a novel approach for the exploration of the human diabetic cornea. Using targeted lipidomics technology, we were able to identify alterations of specific subspecies of sphingolipids. Sphingolipids are a class of bioactive lipids that have been implicated both in physiological and pathological wound-healing responses. Evidence is accumulating on the role of sphingolipids in regulating the development of tissue fibrosis in numerous organ systems, including the lungs, skin, liver, heart, and eye (40–44). Our data show significant differences in total composition as well as specific sphingolipid subspecies between the diabetic cornea and healthy cornea. Future studies will aim to dissect the mechanisms and pathways involved, which would lead to new therapeutic paradigms.
Materials and Methods
Ethics
The study met the tenets of the Declaration of Helsinki. Samples were obtained from the National Development and Research Institute (NDRI) and the Oklahoma Lions Eye Bank. All samples were anonymized before analysis. Permission from the Institutional Review Board has been obtained.
Inclusion Criteria
In order for a diabetic donor to be included, they must not only have had Type I or II diabetes, but also be free from other ocular pathology or general diseases. Healthy Individuals with no history of ocular trauma or disease were included as control groups. Samples were collected from age-matched control, T1DM, and T2DM donors. No significant differences were found between them.
Tissue processing and Targeted Lipidomics
Corneal samples were collected and incubated in Optisol upto 48h post-mortem. We analyzed minimum three corneas from three different donors per group (n=3; Control, T1DM, and T2DM). The corneal samples were washed with PBS and scrapped thoroughly in order to remove both the epithelium and endothelium layer. Furthermore they were cut into small 5–7 pieces of about 3×3mm size each and transferred to eppendorf tubes. Thereafter they were stored at −80°C and further sent for Lipidomics analysis. 5–7 pieces from each donor/per group were processed. Corneas with low endothelial cell counts were excluded. The extracted lipids were analyzed using targeted LC MS/MS methods using Shimadzu Nexera UPLC and a hybrid triple quadrupole linear ion trap (AB SCIEX 6500). Each sample was investigated for changes in sphingolipids as previously described (45–47) using a targeted lipidomics approach as previously described (45–47). Briefly, UPLC ESI MS/MS was utilized with a focus on sphingolipids. One way ANOVA analysis was used to identify statistical significance in the observed results.
Statistical analysis
Data analysis for the sample was performed by one -way ANOVA using Graph Pad Prism 6 software. Where P value (P<0.05) was considered to be statistically significant. Average values were calculated and plotted with standard error of the mean (SEM).
Results
Composition of sphingolipids
We determined the composition of major sphingolipids in corneas from healthy, T1DM, and T2DM donors (Figure 1). In healthy corneas, 96% of sphingolipids were sphingomyelins (SM), whereas ceramides (Cer) and monohexosylceramides (glycosyl+galactosyl ceramides; MHC) accounted for 2% each. However, the composition was significantly different (p<0.05) in both T1DM and T2DM when compared to healthy corneas. T1DM was composed of 86% SM, 10% Cer, and 4% MGC indicating 5-fold upregulation in Cer and 2-fold upregulation in MGC whereas T2DM accounted for 86% SM, 11% Cer, and 3% MGC. Interestingly, the composition of T1DM and T2DM was very similar and no significant differences were shown.
Identification of major species present
Our samples were quantified, using LC-MS/MS to identify the major species present in different classes of sphingolipids. Table 1, 2, and 3 shows all major species of Cer, MHC, and SM respectively.
Table 1.
Ceramides Species | Healthy (pmol/mg tissue) | T1DM (pmol/mg tissue) | T2DM (pmol/mg tissue) |
---|---|---|---|
C14:0 | 0.08±0.01 | 0.12±0.02 | 0.13±0.02 |
C16:0 | 1.45±0.23 | 3.76±0.49 | 3.06±0.36 |
C18:1 | 0.11±0.03 | 0.65±0.14 | 1.10±0.26 |
C18:0 | 0.59±0.15 | 2.17±0.33 | 2.95±0.42 |
C20:0 | 0.38±0.10 | 0.89±0.11 | 1.16±0.20 |
C22:0 | 0.72±0.14 | 1.10±0.16 | 1.28±0.24 |
C24:1 | 0.88±0.14 | 0.86±0.14 | 1.49±0.29 |
C24:0 | 0.95±0.14 | 1.36±0.18 | 1.58±0.24 |
C26:1 | 0.11±0.03 | 0.05±0.01 | 0.08±0.02 |
C26:0 | 0.01±0.00 | 0.14±0.02 | 0.10±0.02 |
Table 2.
Monohexosylceramides Species | Healthy (pmol/mg tissue) | T1DM (pmol/mg tissue) | T2DM (pmol/mg tissue) |
---|---|---|---|
C14:0 | 0.10±0.02 | 0.10±0.01 | 0.09±0.01 |
C16:0 | 0.65±0.19 | 0.92±0.11 | 0.81±0.10 |
C18:1 | 0.03±0.01 | 0.12±0.02 | 0.11±0.01 |
C18:0 | 0.43±0.09 | 0.43±0.06 | 0.40±0.05 |
C20:0 | 0.30±0.11 | 0.36±0.04 | 0.31±0.04 |
C22:0 | 0.78±0.14 | 0.60±0.07 | 0.51±0.06 |
C24:1 | 0.88±0.15 | 1.07±0.13 | 0.92±0.11 |
C24:0 | 0.80±0.12 | 0.87±0.10 | 0.75±0.09 |
C26:1 | 0.04±0.01 | 0.00±0.00 | 0.00±0.00 |
C26:0 | 0.03±0.01 | 0.01±0.00 | 0.01±0.00 |
Table 3.
Sphingomyelin Species | Healthy (pmol/mg tissue) | T1DM (pmol/mg tissue) | T2DM (pmol/mg tissue) |
---|---|---|---|
C14:0 | 8.93±2.31 | 2.28±0.37 | 1.48±0.23 |
C16:0 | 68.92±7.93 | 46.73±6.00 | 48.47±8.62 |
C18:1 | 6.20±1.49 | 2.38±0.38 | 1.85±0.29 |
C18:0 | 28.30±5.81 | 14.90±2.13 | 19.38±2.74 |
C20:0 | 9.76±1.89 | 4.57±0.41 | 5.42±0.70 |
C22:0 | 19.45±3.50 | 6.71±0.72 | 7.28±0.97 |
C24:1 | 36.96±7.85 | 10.12±1.17 | 11.07±1.56 |
C24:0 | 21.70±3.51 | 7.32±0.59 | 8.61±1.08 |
C26:1 | 0.76±0.21 | 0.10±0.02 | 0.12±0.02 |
C26:0 | 0.30±0.15 | 0.01±0.00 | 0.01±0.00 |
In healthy corneas C16:0 Cer accounts for the highest levels of the ceramide subspecies, followed by C24:0, C24:1, and C22:0 (Table 1). In T1DM, Cer species, C16:0 were also the highest followed by C18:0, C24:0, and C22:0 (Table 1). In T2DM Cer species, C16:0 was highest, C18:0 was second highest, followed by C24:0, and C24:1(Table 1).
Major MHC species were identified and quantified as summarized in Table 2. In healthy donors, C24:1 species were the highest followed by C24:0, C22:0, and C16:0. In T1DM, C24:1 species were also the highest followed by C16:0, C24:0, and C22:0. In T2DM, C24:1 was highest, C16:0 was second highest, followed by C24:0, and C22:0 (Table 2).
SM species were also quantified (Table 3). In healthy donors, C16:0 species were the highest followed by C24:1, C18:0, and C24:0. In T1DM, C16:0 species were also the highest followed by C18:0, C24:1, and C24:0. In T2DM, C16:0 was highest, C18:0 was second highest, followed by C24:1, and C24:0 (Table 3). The data indicate that in all major classes (Cer, MHC, and SM) of sphingolipids, the first/highest subspecies were identical between healthy, T1DM, and T2DM samples. The differences were noted on the second, third, and fourth highest subspecies.
Total amounts of sphingolipids
Information on sphingolipids in cornea and corneal cell physiology and disease is very limited. We quantified the total levels of sphingolipids and revealed significant differences between healthy and diabetic corneas. Figure 2 shows the total levels of Cer in all three conditions. Cer was significantly up regulated in both T1DM (Figure 2; p<0.05) and T2DM (Figure 2; p<0.05) in comparison to the healthy samples. Figure 3 shows the total SM levels, which unlike Cer, were significantly down regulated in both T1DM (Figure 3; p<0.05) and T2DM (Figure 3; p<0.05). Figure 4 shows total levels of MHC, however no significant differences were observed.
Discussion
Diabetes is a major public health problem. T1DM and T2DM diabetes were described and identified in 400–500 by Sushruta and Charaka (48) who they associated T1DM with youth and T2DM with being overweight (48). Today we know that T1DM is characterized by loss of the insulin-producing beta cells of the islets of Langerhans in the pancreas (49, 50). T2DM, on the other hand, is known for insulin resistance and it is the more common of the two (2, 51, 52). With regards to ophthalmic complications as a result of diabetes, more profound effects are seen in cornea and retina (53). Studies on animal models of diabetes are responsible for most of our knowledge about the pathogenesis and mechanisms of diabetes. Unfortunately, most of the treatments developed on rodents, for the treatment of diabetic individuals, have failed when tested in humans. In fact, of the 382 million people diagnosed with diabetes worldwide approximately 70% of them suffer from some kind of corneal complications collectively and commonly known as diabetic keratopathy (53, 54).
The diabetic cornea suffers from cellular dysfunction and dysfunctional wound healing/repair mechanisms. There have been an extensive range of studies looking at specific dysfunctions of the cornea. Schultz and co-authors (54) found corneal epithelial lesions in more than 65% of the population tested. Two years later (55) the same group reported diminished corneal peripheral sensation suggesting some kind of neuropathy. This has now been confirmed by multiple studies (54, 56–62) and is widely acceptable that these patients suffer from reduced corneal sensitivity and generalized neuropathy.
In addition, diabetic patients found to have abnormal adhesions of the corneal epithelium to the underlying basement membrane (15) leading to prolonged and recurrent defects. To make things even more complicated, Gekka et al (63) and Goebbels et al (64) showed improper function and weakening of the epithelial barrier in diabetic patients leading to higher risks of corneal infections and stromal fibrosis. Corneal thickness increase has also been reported (65–68) and linked to diabetes as well as endothelial dysfunction (67). Clearly, there are a lot of defects in the human diabetic cornea that may lead to severe vision impairments.
In this study, we used targeted lipidomics technology to evaluate the changes of sphingolipids and their major subspecies in the human diabetic cornea. We chose human cadaver samples, and we excluded donors with any kind of ocular history. This process ensured that our data are only regulated by the diabetic effect. Understanding the characteristics of the human diabetic cornea it is crucial for the development of new therapeutics. While sphingolipids are only a class of lipids, we found significant differences between healthy and diabetic samples. Total Cer were significantly up regulated in both T1DM and T2DM while total SM were down regulated in the same groups. Cer and SM are connected in terms of function and are known to play a significant role in cell signaling pathways.(69) The degradation of SM can produce ceramide which is involved in the apoptotic signaling pathway. In fact, SM has been found to be crucial in cell apoptosis by hydrolyzing into ceramide(70). SM can determine not only when a cell dies but how(70). Our data showing down regulation of SM at the diabetic samples might be an indicator of apoptotic resident cells. In support of this, are our data on Cer. One of the most studied roles of Cer pertains to its function as a proapoptotic molecule. Cer accumulation has been found following treatment of cells with a number of apoptotic agents including ionizing radiation (71, 72), UV light (73), TNF-alpha (74), and chemotherapeutic agents. The increase we see with the diabetic samples suggests accumulation of Cer and therefore apoptotic behavior. While our data seem convincing the role of ceramide in apoptosis and the mechanism by which this lipid regulates apoptosis remains elusive (75). The most crucial limitation of this study is the fact that we do not have an accurate number of corneal stromal cells for each sample/cornea, prior to lipidomics analysis. It is possible that the relative composition of lipids is affected by the cell numbers present in each sample/tissue.
Many laboratories haves studied the regulation of ceramide biosynthesis (76–84); however, little is known about the role of sphingolipids in cornea and even less is known about their role in the diabetic cornea. This is a novel approach in order to determine the effects of sphingolipids and determine any consequences they might present. Further studies of the regulation of sphingolipids might also be helpful in diagnosis, treatment and prevention of cornea diabetic defects.
Conclusions
We have shown here the importance of sphingolipids in human diabetic corneas. Clearly further studies are necessary in order to unravel the mechanism by which these lipids are involved in corneal diabetes. To the author’s knowledge, this is the first report of sphingolipids quantification in human diabetic corneas.
Acknowledgments
Funding
This work was supported by research grants from the Veteran’s Administration (VA Merit Review I BX001792 (CEC) and a Research Career Scientist Award 13F-RCS-002 (CEC)); from the National Institutes of Health via HL125353 (CEC), CA154314 (C.E.C), EY020886 (D.K), EY023568 (D.K), and NH1C06-RR17393 (to Virginia Commonwealth University for renovation); from unrestricted grant from Research to Prevent Blindness. Services and products in support of the research project were generated by the VCU Massey Cancer Center Shared supported, in part, with funding from NIH-NCI Cancer Center Support Grant P30 CA016059.
Supported, in part, by an unrestricted grant from Research to Prevent Blindness, (New York, NY USA).
Footnotes
Declaration of interests
The authors declare that there is no conflict of interest.
The contents of this manuscript do not represent the views of the Department of Veterans Affairs or the United States Government.
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