Graefes Arch Clin Exp Ophthalmol (2013) 251:741–749 DOI 10.1007/s00417-012-2221-3
BASIC SCIENCE
Matrix metalloproteinase (MMP-2, -9) and tissue inhibitor (TIMP-1, -2) activity in tear samples of pediatric type 1 diabetic patients MMPs in tear samples from type 1 diabetes Chrysanthos Symeonidis & Eleni Papakonstantinou & Asimina Galli & Ioannis Tsinopoulos & Asimina Mataftsi & Spyridon Batzios & Stavros A. Dimitrakos
Received: 12 May 2012 / Revised: 6 November 2012 / Accepted: 20 November 2012 / Published online: 20 December 2012 # Springer-Verlag Berlin Heidelberg 2012
Abstract Background The presence of matrix metalloproteinase (MMP-2, -9) and tissue inhibitor (TIMP-1, -2) activity in tear samples of pediatric type 1 diabetes mellitus (DM) patients and potential correlations with clinical parameters (Schirmer testing, glycosylated hemoglobin-HBA1C) were investigated. Methods Tear samples from the right eyes of 27 type 1 DM patients and 17 healthy control subjects were included in this study. The MMP gelatinolytic activity was determined by gelatin zymography analysis using sodium dodecyl sulphate– polyacrylamide gel electrophoresis (SDS-PAGE), while MMP C. Symeonidis (*) : I. Tsinopoulos : A. Mataftsi : S. A. Dimitrakos 2nd Department of Ophthalmology, School of Medicine, Papageorgiou General Hospital, Aristotle University of Thessaloniki, Papageorgiou General Hospital, Thessaloniki Ring Road, Thessaloniki 564 03 Macedonia, Greece e-mail:
[email protected] E. Papakonstantinou 2nd Department of Pharmacology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece A. Galli 4th Department of Paediatrics, School of Medicine, Aristotle University of Thessaloniki, Papageorgiou General Hospital, Thessaloniki, Macedonia, Greece S. Batzios 1st Department of Paediatrics, School of Medicine, Aristotle University of Thessaloniki, Hippokrateion General Hospital, Thessaloniki, Macedonia, Greece
and TIMP concentrations (in ng/ml) were quantified in tears of type 1 diabetic patients and healthy controls, with the use of enzyme-linked immunosorbent assay (ELISA). Results MMP-9, TIMP-1, -2 levels, MMP-9/TIMP-1, and MMP-9/TIMP-2 ratios in the patient group were significantly elevated. There was a significant correlation between TIMP-2 and HBA1C values, as well as between MMP-2 and MMP-9. Conclusions Significant correlations between TIMP-2 and HBA1C and between Schirmer test results and HBA1C were revealed. Significant increase in tear MMP and TIMP levels in pediatric type 1 diabetic patients may be suggestive of disease progression and localized pathologic remodelling. Further studies are required in order to ascertain whether MMPs and TIMPs could be employed as indicators of early disease progression. Keywords Matrix metalloproteinases . Tissue inhibitors of matrix metalloproteinases . Tears . Pediatric type 1 diabetic patients . Pathophysiology
Introduction Diabetes mellitus (DM) has been identified as the cause of a number of ocular complications such as cataract, neovascular glaucoma, diabetic retinopathy (DR), and occasionally significant refraction fluctuations [1–4]. Even though DR pathogenesis is not yet thoroughly understood, the implication of the inflammatory process has recently been reported [5]. In that context, DR gravity has been shown to correlate
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with the severity of dry eye syndrome [6], while cytokine expression has been detected in the tears of type II diabetic patients, providing additional evidence of the involvement of inflammatory mechanisms in the DR pathophysiology [5]. The matrix metalloproteinase (MMPs) family consists of a heterogeneous group of proteolytic enzymes that are implicated, in their active form, in extracellular matrix (ECM) homeostasis as well as tissue repair and remodelling, wound contraction, and neovascularisation [7, 8]. In addition, elevated MMP activity, apart from influencing ECM homeostasis, modulating growth factor bioavailability, and thus regulating cellular proliferation, may be a prerequisite for angiogenesis and tumorigenesis [9]. Gelatinase A and B (MMP-2, -9), predominantly digest gelatins (denatured collagens) but also collagens, fibronectin, elastin, and laminin [10]. Most MMPs are secreted as zymogens and are activated through proteolytic modification, whereas their transcription, translation, and pro-enzyme activity are regulated by numerous molecules, among which tissue inhibitors of metalloproteinases (TIMPs) play an important role [11]. MMPs have been implicated in numerous pathological processes, both in adults and children, usually related to inflammation and cell apoptosis [12–15]. In diabetic patients, expression of several MMPs in tissues (aorta) has been shown to be significantly increased [16]. On the other hand, TIMP expression has been reported to be increased [17], unaltered [16], or even decreased [18] in a number of tissues in diabetic subjects (human plasma, rat aortic and skin tissue). In tear samples particularly, increased MMP and TIMP activity has been reported in a broad variety of pathological entities such as blepharitis, dry eye, ocular allergic disease, keratitis, and keratoconus [19–21]. The role of these molecules as well as the MMP/TIMP imbalance has been studied in various aspects with regard to diabetes mellitus as well, and their implication in several aspects of the disease has already been reported [16, 22–25]. The aim of this study was the investigation of MMP/ TIMP implication in tear production and composition in the context of pediatric type 1 diabetes mellitus. To our knowledge, this is the first study investigating the presence of MMP (MMP-2, -9) and TIMP (TIMP-1, -2) activity in tear samples of pediatric type 1 diabetic patients, as well as potential correlations with clinical parameters (Schirmer testing, glycosylated hemoglobin-HBA1C).
Materials and methods Patients Tear samples from 27 consecutive type 1 diabetic patients who attended the pediatric diabetes clinic were included in
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this study. Mean patient age was 10.88±0.58 years (mean ± standard error), ranging from 6 to 15. Exclusion criteria were observation of signs of ocular pathology, medical history of autoimmune disease, use of ophthalmic drops or systemic medications, or use of contact lenses within 14 days prior to sample collection. Samples from 17 healthy subjects were used as controls (mean age: 10.14±0.58, range: 4–13). Informed consent was obtained from all patients and their parents who were included in the study. Patients were thoroughly interviewed and their medical history was recorded, including the approximate time of diabetes diagnosis. The study conformed fully with the Declaration of Helsinki for biomedical research on human subjects. Sample collection In this study, tear samples were collected by manual suction from the right lateral canthus of each patient with the use of a micropipette prior to Schirmer testing during regular follow-up appointments in the outpatient clinics. Following collection, each sample was placed in a 1-ml Eppendorf tube (Eppendorf, Fremont, CA, USA), and stored at −70 °C until used. Schirmer testing During Schirmer testing, paper strips are inserted into the lower conjuctival sac of each eye for several minutes in order to assess tear production. A topical anesthetic is administered into the eye before the filter paper is inserted to avoid tearing due to the irritation from the paper. The use of anesthetic drops ensures that only basal tear secretion is being measured. According to standard Schirmer testing, eyes are closed for 5 minutes. The filter paper is removed, and the amount of moisture is measured in millimeters. A test result of more than 15 mm of wetting is considered normal while values 14–9, 8–4, and less than 4 are considered mild, moderate and severe tear production dysfunction respectively. Glycosylated hemoglobin Glycosylated hemoglobin (HBA1C) is formed as a result of hemoglobin exposure to plasma glucose, and is used as a marker for average blood glucose level measurement over the months prior to the most recent measurement. In the context of diabetes, the average amount of plasma glucose increases and the fraction of glycated hemoglobin increases accordingly. According to the International Diabetes Federation and the American College of Endocrinology, HbA1c values below 48 mmol/mol (6.5 %) are recommended, while according to the American Diabetes Association, HBA1C
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values below 53 mmol/mol (7.0 %) are advisable for the majority of patients [26]. Gelatin zymography The gelatinolytic activity of MMPs was determined by gelatin zymography analysis using sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS-PAGE) under denaturing but non-reducing conditions. In brief, 5 μl of tears from diabetic patients and healthy controls were applied on an 8 % SDS/PAGE containing 0.1 % gelatin (25 mA, 2 h, at room temperature). Gels were then equilibrated in 2.5 % Triton X-100 buffer for 1 h and subsequently incubated in 50 mM Tris-HCI, pH 7.3 buffer containing 200 mM NaCI, 5 mM CaCl2 and 0.1 % Triton X-100 for 18 h, at 37 °C. Bands of enzymatic activity were visualized by negative staining with standard Coomassie brilliant blue R-250 dye solution. Molecular size of bands displaying enzymatic activity were estimated by comparison to purified proMMP-2 (72 kDa), active MMP-2 (64 kDa), proMMP-9 (92 kDa) and active MMP-9 (78 kDa) (Anawa Trading, Wangen). Prestained standard protein molecular weight markers used were: myosin (250 kDa), phosphorylase (148 kDa), bovine serum albumin (98 kDa), L-glutamic dehydrogenase (64 kDa), alcohol dehydrogenase (50 kDa), carbonic anhydrase (36 kDa), myoglobin red (22 kDa), lysozyme (16 kDa), aprotinin (6 kDa) and insulin, B chain (4 kDa) (SeeBlue Plus2 Prestained, Invitrogen, USA). Gelatinolytic activity was quantified using a computerassisted image analysis program (1D Image Analysis Software, Kodak Digital Science v.3.0, Eastman Kodak, Rochester, NY, USA). All experiments were performed in duplicate. Immunoassays Concentrations of MMP-2, MMP-9, TIMP-1 and TIMP-2 (ng/ml) were quantified in tears of diabetic patients and healthy controls, using an enzyme-linked immunosorbent assay kit (ELISA, R&D Systems Europe, Abingdon, UK), performed according to manufacturer’s instructions. The MMP-2 and MMP-9 assays measure total MMP-2 and MMP-9 (proenzymes and activated forms). Sensitivity of the method employed was: MMP-2: 0.16 ng/ml, MMP-9: 0.156 ng/ml, TIMP-1: 0.08 ng/ml, and TIMP2: 0.011 ng/ml. Protein determination Protein content was determined in aliquots of tear samples by the Bradford assay (Bio-Rad, Glattbrugg, Switzerland) using bovine serum albumin (Sigma-Aldrich Chemie, Steinheim, Germany) as standard.
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Statistic analysis Data obtained in this study are presented as mean ± standard error of the mean (SEM). Independent samples t-test (twosided) was used to compare data between patient and control groups, as well as between subgroups of the patient group. In order to investigate the existence of potential correlations between MMP levels and clinical parameters (e.g., glycosylated hemoglobin), the Spearman rank correlation test was employed. Regression analysis was used to introduce a possible MMP model that correlated with glycosylated hemoglobin. Differences were considered statistically significant when p≤0.05. Statistical analysis was performed with the SPSS statistical package (SPSS Inc., Chicago, IL, USA).
Results Gelatin zymography analysis revealed that tears from pediatric type 1 diabetic patients as well as from controls express gelatinase activity of variable molecular mass (Fig. 1a). The gelatine lysis band with the lower molecular mass comigrated as purified MMP-2 (64 kDa), whereas the two gelatine lysis bands of higher molecular mass correspond to proMMP-9 (92 kDa) and to activated MMP-9 (78 kDa). Densitometric analysis of gelatine zymograms revealed that proMMP-9 and MMP-9 activity was significantly higher in type 1 diabetic patients as compared to controls (p<0.01 and p<0.001 respectively) (Fig. 1b). No significant differences in the activity of MMP-2 between type 1 diabetic patients and controls were evident. MMP and TIMP values in the patient group were found to be significantly greater compared to controls with the exception of MMP-2 (MMP-2, p 00.155; MMP-9, p 0 0.018; TIMP-1, p00.039; TIMP-2, p00.0001, Table 1). Similar results were also obtained when MMP and TIMP values were expressed as ng/mg of total protein content in tears (Table 1). With respect to patient age, there were no significant correlations observed with MMP levels (Table 2). Statistical analysis according to patient gender revealed significantly higher TIMP-2 levels in female patients (p0 0.033), while HBA1C was significantly higher in the female patients included in this study (p00.050). There was no significant difference between male and female patients regarding Schirmer test results (p00.457). Statistic analysis revealed a significant correlation between TIMP-2 and HBA1C values (r00.636, p00.035), while there were no significant correlations with MMP-2, MMP-9 and TIMP-1 (p 00.366, p00.356, p00.315, respectively, Table 2). A significant correlation was also observed between MMP-2 and MMP-9 (r00.552, p00.010). With regard to type 1 diabetes duration, there were no significant correlations with MMP or TIMP levels
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a
Arbitrary units
b
Fig. 1 a Gelatin zymography of 5 μl of tears from pediatric patients with type 1 diabetic patients and controls. Bands of enzymatic activity were visualized by negative staining with standard Coomassie brilliant blue dye solution. Arrows indicate migration of commercially available MMP-2, proMMP-9 and MMP-9. b Quantitation of the lysis bands using the computer-assisted image analysis program EDAS of Kodak. Bars represent the mean ± standard error of the mean (SEM) of duplicate determinations for each sample. **p<0.01, ***p<0.001
revealed (MMP-2, p 00.908; MMP-9, p 00.170; TIMP1, p 00.106; TIMP-2, p 00.637). As far MMP/TIMP ratios were concerned, there were also no significant correlations (MMP-2/TIMP-1, p 00.986; MMP-2/TIMP-
Table 1 Patient age, glycosylated hemoglobin (HBA1C), Schirmer test values, matrix metalloproteinase (MMP) and tissue inhibitor of metalloproteinase (TIMP) levels and MMP/ TIMP ratios in tear samples from the patient and control groups
a
in years
b
in %
c
in millimeters
d
statistically significant
2, p 00.989; MMP-9/TIMP-1, p 00.193; MMP-9/TIMP2, p 00.788). Regarding Schirmer testing, there was a significant difference between the patient and control groups (Table 1). There was a negative significant correlation with HBA1C (r 0−0.421, p 00.050, Table 2), while there was no significant correlation with patient age (p 0 0.517, Table 2). Furthermore, there were no significant correlations observed between Schirmer testing and MMPs and TIMPs included in this study (MMP-2, p 00.442; MMP-9, p 00.840; TIMP-1, p 00.124; TIMP2, p 00.431). Regression analysis of all results for MMPs and TIMPs revealed no significant correlations with HBA1C (MMP-2, p00.387; MMP-9, p00.872; TIMP-1, p00.331; TIMP-2, p 00.191). Linear regression analysis graphs between HBA1C and MMPs/TIMPs with a 95 % mean prediction interval are presented in Fig. 2. Regarding MMP/TIMP ratios, MMP-9/TIMP-1 and MMP-9/TIMP-2 ratios in the patient sample group were significantly greater compared to the control group (p 00.050 and p 00.005 respectively), while MMP-2/TIMP-1 and MMP-2/TIMP-2 ratios were nonsignificantly greater in the patient sample group (p 0 0.685 and p 00.698 respectively). Moreover, there were no significant correlations between the MMP/TIMP ratios investigated and HBA1C. There were significant correlations between the MMP-2/TIMP-1 and MMP-2/ TIMP-2 and the MMP-9/TIMP-1 and MMP-9/TIMP-2 ratios (r 00.616, p 00.003 and r 00.616, p 00.003 respectively).
Patients (n027) (mean ± standard error)
Controls (n017) (mean ± standard error)
P-value
Agea Disease durationa HBA1Cb Schirmer testingc MMP-2 (ng/ml) MMP-9 (ng/ml) TIMP-1 (ng/ml) TIMP-2 (ng/ml) MMP-2 (ng/mg protein) MMP-9 (ng/mg protein) TIMP-1 (ng/mg protein) TIMP-2 (ng/mg protein)
10.88±0.58 3.37±0.48 8.06±0.23 19.82±1.42 9.46±4.18 37.01±10.95 256.55±17.98 93.08±5.49 18.55±6.9 70.36±21.82 503.03±34.26 182.5±10.65
10.14±0.58 – – 21.50±1.72 2.85±1.21 7.59±4.76 180.90±11.06 66.56±0.79 7.12±3.02 18.97±11.90 450.22±27.65 166.4±1.97
0.377 – – 0.047d 0.155 0.018d 0.039d 0.0001d 0.146 0.022d 0.048d 0.0005d
MMP-2/TIMP-1 MMP-2/TIMP-2 MMP-9/TIMP-1 MMP-9/TIMP-2
0.03±0.01 0.11±0.06 0.14±0.05 0.39±0.17
0.01±0.009 0.03±0.026 0.05±0.031 0.01±0.001
0.685 0.698 0.050d 0.005d
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MMP-2 MMP-2 MMP-9 TIMP-1 TIMP-2 HBA1C Schirmer Age
a
statistically significant
r00.520 p00.032a r0−0.124 p00.687 r0−0.250 p00.486 r0−0.234 p00.366 r00.224 p00.442 r0−0.091 p00.728
MMP-9
TIMP-1
TIMP-2
HBA1C
Schirmer
Age
r00.520 p00.032a
r0−0.124 p00.687 r00.176 p00.566
r0−0.250 p00.486 r00.173 p00.612 r00.200 p00.555
r0−0.234 p00.366 r00.239 p00.356 r00.237 p00.315 r00.636 p00.035a
r00.224 p00.442 r0−0.060 p00.840 r0−0.376 p00.124 r0−0.301 p00.431 r0−0.421 p00.050a
r0−0.091 p00.728 r00.036 p00.892 r00.390 p00.089 r0−0.273 p00.416 r0−0.033 p00.875 r0−0.146 p00.517
r00.176 p00.566 r00.173 p00.612 r00.239 p00.356 r0−0.060 p00.840 r00.036 p00.892
r00.636 p00.035a r0−0.301 p00.431 r0−0.273 p00.416
r0−0.421 p00.050a r0−0.033 p00.875
r0−0.146 p00.517
Discussion Increased MMP levels have been associated with disease progression, as they have been shown to be involved in the pathophysiology of several disorders [27]. Recent studies indicate that elevated glucose levels induce dysregulation of the MMP/TIMP balance in two key cell groups, macrophages and endothelial cells [28]. In effect, elevated glucose levels significantly amplify 200
75
150
MMP-9 (ng/ml)
100
50
100 R-Square = 0,00
50
25 R-Square = 0,05
0
6
7
8
9
10
0
11
600
6
7
8
9
10
11
10
11
200
500
TMP-1 (ng/ml)
Fig. 2 HBA1C and MMP/TIMP linear regression analysis in pediatric type 1 diabetic patients. Linear regression analysis graphs between HBA1C and MMPs/TIMPs with a 95 % mean prediction interval
MMP-2 (ng/ml)
Scatterplots depicting MMP/TIMP ratios in relation to HBA1C values and linear regression analysis between HBA1C (independent variable) and MMP/TIMP ratios (dependent variables) with a 95 % mean prediction interval are presented in Fig. 3. Regression analysis of all results for MMP/TIMP ratios revealed no significant correlations with HB A1C (MMP-2/TIMP-1, p 00.326; MMP-2/TIMP-2, p 00.352; MMP-9/TIMP-1, p 00.226; MMP-9/TIMP-2, p00.423).
r00.200 p00.555 r00.237 p00.315 r0−0.376 p00.124 r00.390 p00.089
150
R-Square = 0,05
400
TMP-2 (ng/ml)
Table 2 Correlation analysis between matrix metalloproteinases (MMP), tissue inhibitors of metalloproteinases (TIMP), patient age, glycosylated hemoglobin and Schirmer test results
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300 200
R-Square = 0,18
100
50 100 0
6
7
8
9
10
11
0
6
7
8
Glycosylated hemoglobin (HBA1C)
9
746 100
100
75
MMP-2/TMP-2 ratio
MMP-2/TMP-1ratio
Fig. 3 HBA1C and MMP/TIMP ratios linear regression analysis in pediatric type 1 diabetic patients. Scatterplots depicting MMP/TIMP ratios in relation to HBA1C values and linear regression analysis between HBA1C (independent variable) and MMP/TIMP ratios (dependent variables) with a 95 % mean prediction interval
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50 R-Square = 0,04
25
0
6
7
8
9
10
R-Square = 0,04
25
7
8
9
10
11
200
200 150
MMP-9/TMP-2 ratio
MMP-9/TMP-1ratio
50
0
11
250
R-Square = 0,08
100 50 0
75
6
7
8
9
10
11
150 R-Square = 0,08
100
50
0
6
7
8
9
10
11
Glycosylated hemoglobin (HBA1C)
MMP expression and activity, resulting in an imbalance between ECM synthesis and degradation [29]. In this study, we report a significant increase of MMP-9, TIMP-1 and TIMP-2 in tear samples of pediatric type 1 diabetic patients compared to normal controls. Data were expressed as ng/ml since, using fluorophotometry, which is a reliable method to measure tear flow, it has been shown that the amount of tear secretion did not differ between diabetic and non-diabetic individuals [30]. Protein determination in our samples revealed a significant increase (p<0.05) of the protein content in tears of diabetic patients (0.51±0.04 mg/ml) as compared to controls (0.40±0.05 mg/ml), an observation that has been previously reported [31]. However, expressing the amount of MMP and TIMP as ng per mg of total protein in tear samples did not influence the statistical significance of our data. Our findings are in accordance with previous studies reporting elevated plasma levels of MMP-2, MMP-9, TIMP-1, and TIMP-2 in adult diabetic patients [17]. To our knowledge, this is the first attempt to comprehensively report values in ng/ml for MMP-2 and -9 as well as TIMP-1, -2 in tear samples of pediatric type 1 diabetic patients, and to investigate possible correlations of these values with clinical diabetes mellitus parameters. Increased MMP-2 and MMP-9 levels in the systemic circulation have been observed in pediatric patients with type 1 diabetes who eventually developed microangiopathy over a 5-year period [32]. According to the relevant literature, MMPs are considered markers of inflammation, and
consequently increased MMP concentrations in the circulation may be a result of the inflammatory process, and not a potential cause of this process [15]. As elevated MMP-9 levels have been associated with more acute pathologic circumstances [33], the observed increase in MMP-9 concentrations may therefore be indicative of a (relatively acute) active inflammatory process in the lacrimal system in pediatric patients. Moreover, there was a significant and previously not reported correlation observed between MMP-2 and MMP-9 levels. This finding can be suggestive of the complicated interactions between members of the MMP family in the pathologic environment of type 1 diabetes. With respect to TIMP levels in the context of type 1 diabetes, the relevant literature is not conclusive [17, 24]. In this study, TIMP-1 and -2 levels were significantly increased in the tears of type 1 diabetic patients. This increase in TIMP levels could not negate the observed MMP-9 increase, as both MMP-9/TIMP-1 and MMP-9/TIMP-2 ratios were found to be significantly elevated. Overall, the significant increase in tear MMP and TIMP levels in pediatric type 1 diabetic patients may be indicative of disease progression as well as localized pathologic remodelling. With regard to patient gender, the finding that HBA1C values were higher in female diabetic patients is in agreement with previous similar reports. The finding that Schirmer test results did not differ significantly between male and female patients is also in accordance with the
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relevant literature [34]. Moreover, in this study, MMP levels did not differ as a function of gender as previously reported [24]. In contrast, TIMP-2 levels were significantly higher in female patients, a novel observation in the relevant literature. This finding, in combination with the significant correlation between TIMP-2 and HBA1C, may be further indication of the potential role of TIMP-2 as a disease progression marker, especially in female patients. Duration of disease has been identified as an independent risk factor for the development of complications such as diabetic nephropathy [35]. Moreover, urine MMP-9 excretion positively correlated with HbA1c, and was higher in those type 1 diabetic patients with a longer duration of disease [36]. The absence of significant correlations of Schirmer test results with disease duration in this study may be attributed to relatively short disease duration as dry eye symptoms in diabetic patients have been associated with longer disease duration [37]. Regarding MMPs/TIMPs and disease duration, there was a trend for statistic significance for MMP-9 (p00.170) and TIMP-1 (p00.106). Here, the absence of significant correlations may be attributed to the relatively low study population size. Previous studies have reported MMP-2, -9 and TIMP-1 level correlation with HBA1C in biologic samples (peripheral blood and urine) of type 1 diabetic patients, while TIMP-2 levels were not investigated [24, 38]. In the present study, TIMP-2 levels correlated significantly with HBA1C in contrast to MMP-2, MMP-9 and TIMP-1 levels, an observation not previously reported. This novel finding (a potentially localized variation of TIMP expression) could be indicative of a degree of clinical significance for TIMP-2 in the context of type 1 diabetes. If this correlation is verified by further studies, it is conceivable that TIMP-2 could be used as a marker for disease progression in the lacrimal system as its testing is less invasive than HBA1C testing. Lacrimal gland dysfunction in diabetic patients has been previously reported [30]. In the patients included in this study, decreased Schirmer test readings were found as compared with the healthy control group. The Schirmer test is a rough screening tool for the detection of tear hyposecretion but when performed in a standardised procedure, it may provide significant information on the tear secretion [30]. In the present study, there was a marginally significant difference between patient and control groups with regard to Schirmer test results, a finding in accordance with the relevant literature [37], but no significant correlation was found with Schirmer test results. The observed significant inverse correlation between Schirmer testing and HBA1C may be a more emphatic indication of clinical significance in diabetes progression monitoring for Schirmer testing. With regard to inflammatory processes, a serum MMP-9 and MMP-9/TIMP-1 imbalance has been identified as a potential risk factor [39]. In previous studies, systemic
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MMPs have been utilized for correlation analysis with disease severity parameters [40–42]. In this context, MMP/ TIMP ratios appear to be of value in disease diagnosis as well as prognosis [39]. In this study, MMP-9/TIMP-1 and MMP-9/TIMP-2 ratios in the patient sample group were significantly greater compared to the control group, in contrast to MMP-2/TIMP-1 and MMP-2/TIMP-2 ratios. Even though TIMPs have been shown not to have a high specificity for any specific MMP, relevant studies have reported that TIMP-2 with MMP-2 and TIMP-1 with MMP-9 are characterized by preferential binding [43]. Therefore, in pathologic circumstances, the MMP-9/TIMP-1 ratio would be expected to be more affected compared to the MMP-9/ TIMP-2 ratio. However, in the present study, the mean MMP-9/TIMP-2 ratio was higher in absolute values compared to the MMP-9/TIMP-1 ratio, while there was a notable difference in the level of significance with regard to their comparison to healthy controls. This finding may render the MMP-9/TIMP-2 ratio a more sensitive marker of localized inflammatory activity. In the present study, elevated MMP-9 and TIMP-1, -2 levels in pediatric type 1 diabetic patients are reported. Correlation analysis revealed a significant correlation between TIMP-2 and HBA1C, while there was a negative significant correlation between Schirmer testing with HBA1C. MMP-9/TIMP-1 and MMP-9/TIMP-2 ratios in the patient sample group were significantly elevated compared to the control group. This novel finding could be an indication of a degree of clinical significance for TIMP-2 in the context of type 1 diabetes. The precise role of MMP/TIMP balance and its relation to pathologic changes in the lacrimal system during type 1 diabetes require further investigation. Further studies are required in order to ascertain whether MMPs and TIMPs could be employed as indicators of early disease progression.
Declarations The authors wish to declare that there is no conflict of interest in this manuscript, and that there are no funding sources to declare.
References 1. Schultz RO, Van Horn DL, Peters MA, Klewin KM, Schutten WH (1981) Diabetic keratopathy. Trans Am Ophthalmol Soc 79:180– 199 2. Schultz RO, Matsuda M, Yee RW, Edelhauser HF, Schultz KJ (1984) Corneal endothelial changes in type I and type II diabetes mellitus. Am J Ophthalmol 98:401–410 3. Friend J, Thoft RA (1984) The diabetic cornea. Int Ophthalmol Clin 24:111–123 4. Herse PR (1988) A review of manifestations of diabetes mellitus in the anterior eye and cornea. Am J Optom Physiol Opt 65:224–230
748 5. Liu J, Shi B, He S, Yao X, Willcox MD, Zhao Z (2010) Changes to tear cytokines of type 2 diabetic patients with or without retinopathy. Mol Vis 16:2931–2938 6. Nepp J, Abela C, Polzer I, Derbolav A, Wedrich A (2000) Is there a correlation between the severity of diabetic retinopathy and keratoconjunctivitis sicca? Cornea 19:487–491 7. Sethi CS, Bailey TA, Luthert PJ, Chong NH (2000) Matrix metalloproteinase biology applied to vitreoretinal disorders. Br J Ophthalmol 84:654–666 8. Sivak JM, Fini E (2002) MMPs in the eye: emerging roles for matrix metallo-proteinases in ocular pathology. Prog Retin Eye Res 21:1–14 9. Fowlkes JL, Serra DM, Bunn RC, Thrailkill KM, Enghild JJ, Nagase H (2004) Regulation of insulin-like growth factor (IGF)-I action by matrix metalloproteinase-3 involves selective disruption of IGF-I/IGF-binding protein-3 complexes. Endocrinology 145:620–626 10. Borden P, Heller RA (1997) Transcriptional control of matrix metalloproteinases and the tissue inhibitors of matrix metalloproteinases. Crit Rev Euk Gene Exp 7:159–178 11. Clark IM, Swingler TE, Sampieri CL, Edwards DR (2008) The regulation of matrix metalloproteinases and their inhibitors. Int J Biochem Cell Biol 40:1362–1378 12. Mäkitalo L, Kolho KL, Karikoski R, Anthoni H, Saarialho-Kere U (2010) Expression profiles of matrix metalloproteinases and their inhibitors in colonic inflammation related to pediatric inflammatory bowel disease. Scand J Gastroenterol 45:862–871 13. Musiał K, Zwolińska D (2011) Matrix metalloproteinases (MMP2, -9) and their tissue inhibitors (TIMP-1, 2) as novel markers of stress response and atherogenesis in children with chronic kidney disease (CKD) on conservative treatment. Cell Stress Chaperones 16:97–103 14. Papakonstantinou E, Dionyssopoulos A, Aletras AJ, Pesintzaki C, Minas A, Karakiulakis G (2004) Expression of matrix metalloproteinases and their endogenous tissue inhibitors in skin lesions from patients with tuberous sclerosis. J Am Acad Dermatol 51:526–533 15. Senzaki H (2006) The pathophysiology of coronary artery aneurysms in Kawasaki disease: role of matrix metalloproteinases. Arch Dis Child 91:847–851 16. Boden G, Song W, Pashko L, Kresge K (2008) In vivo effects of insulin and free fatty acids on matrix metalloproteinases in rat aorta. Diabetes 57:476–483 17. Derosa G, D’Angelo A, Tinelli C, Devangelio E, Consoli A, Miccoli R, Penno G, Del Prato S, Paniga S, Cicero AF (2007) Evaluation of metalloproteinase 2 and 9 levels and their inhibitors in diabetic and healthy subjects. Diabetes Metab 33:129–134 18. Yang C, Zhu P, Yan L, Chen L, Meng R, Lao G (2009) Dynamic changes in matrix metalloproteinase 9 and tissue inhibitor of metalloproteinase 1 levels during wound healing in diabetic rats. J Am Pediatr Med Assoc 99:489–496 19. Acera A, Rocha G, Vecino E, Durán JA (2008) Inflammatory markers in the tears of patients with ocular surface disease. Ophthalmic Res 40:315–321 20. Lema I, Sobrino T, Durán JA, Díez-Feijoo E (2009) Subclinical keratoconus and inflammatory molecules from tears. Br J Ophthalmol 93:820–824 21. Rohini G, Murugeswari P, Prajna NV, Lalitha P, Muthukkaruppan V (2007) Matrix metalloproteinases (MMP-8, MMP-9) and the tissue inhibitors of metalloproteinases (TIMP-1, TIMP-2) in patients with fungal keratitis. Cornea 26:207–211 22. Gunczler P, Lanes R, Soros A, Verdu L, Ramon Y, Guevara B, Beer N (2006) Coronary artery calcification, serum lipids, lipoproteins, and peripheral inflammatory markers in adolescents and young adults with type 1 diabetes. J Pediatr 149:320–323 23. Rysz J, Banach M, Stolarek RA, Pasnik J, Cialkowska-Rysz A, Koktysz R, Piechota M, Baj Z (2007) Serum matrix
Graefes Arch Clin Exp Ophthalmol (2013) 251:741–749 metalloproteinases MMP-2 and MMP-9 and metalloproteinase tissue inhibitors TIMP-1 and TIMP-2 in diabetic nephropathy. J Nephrol 20:444–452 24. Thrailkill KM, Bunn RC, Moreau CS, Cockrell GE, Simpson PM, Coleman HN, Frindik JP, Kemp SF, Fowlkes JL (2007) Matrix metalloproteinase-2 dysregulation in type 1 diabetes. Diabetes Care 30:2321–2326 25. Thrailkill KM, Bunn RC, Fowlkes JL (2009) Matrix metalloproteinases: their potential role in the pathogenesis of diabetic nephropathy. Endocrine 35:1–10 26. American Diabetes Association(2009) Executive summary: standards of medical care in diabetes—2009. Diabetes Care 32:S6–S12 27. Symeonidis C, Papakonstantinou E, Souliou E, Karakiulakis G, Dimitrakos SA, Diza E (2011) Correlation of matrix metalloproteinase levels with the grade of proliferative vitreoretinopathy in the subretinal fluid and vitreous during rhegmatogenous retinal detachment. Acta Ophthalmol 89:339–345 28. Death AK, Fisher EJ, McGrath KC, Yue DK (2003) High glucose alters matrix metalloproteinase expression in two key vascular cells: potential impact on atherosclerosis in diabetes. Atherosclerosis 168:263–269 29. Pugliese G, Pricci F, Pugliese F, Mene P, Lenti L, Andreani D, Galli G, Casini A, Bianchi S, Rotella CM (1994) Mechanisms of glucose-enhanced extracellular matrix accumulation in rat glomerular mesangial cells. Diabetes 43:478–490 30. Goebbels M (2000) Tear secretion and tear film function in insulin dependent diabetics. Br J Ophthalmol 84:19–21 31. Grus FH, Sabuncuo P, Dick HB, Augustin AJ, Pfeiffer N (2002) Changes in the tear proteins of diabetic patients. BMC Ophthalmol 2:4 32. Derosa G, Avanzini MA, Geroldi D, Fogari R, Lorini R, De Silvestri A, Tinelli C, Rondini G, d’Annunzio G (2005) Matrix metalloproteinase 2 may be a marker of microangiopathy in children and adolescents with type 1 diabetes mellitus. Diabetes Res Clin Pract 70:119–125 33. Parshley DE, Bradley JMB, Samples JR, Van Buskirk EM, Acott TS (1995) Early changes in matrix metalloproteinases and inhibitors after in vitro laser treatment to the trabecular meshwork. Curr Eye Res 14:537–544 34. Manaviat MR, Rashidi M, Afkhami-Ardekani M, Shoja MR (2008) Prevalence of dry eye syndrome and diabetic retinopathy in type 2 diabetic patients. BMC Ophthalmol 8:10 35. The Diabetes Control and Complications Trial Research Group (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329:977–986 36. Thrailkill KM, Moreau CS, Cockrell GE, Jo CH, Bunn RC, Morales-Pozzo AE, Lumpkin CK, Fowlkes JL (2010) Disease and gender-specific dysregulation of NGAL and MMP-9 in type 1 diabetes mellitus. Endocrine 37:336–343 37. Akinci A, Cetinkaya E, Aycan Z (2007) Dry eye syndrome in diabetic children. Eur J Ophthalmol 17:873–878 38. Maxwell PR, Timms PM, Chandran S, Gordon D (2001) Peripheral blood level alterations of TIMP-1, MMP-2 and MMP-9 in patients with type 1 diabetes. Diabet Med 18:777–780 39. Teles RM, Teles RB, Amadeu TP, Moura DF, Mendonça-Lima L, Ferreira H, Santos IM, Nery JA, Sarno EN, Sampaio EP (2010) High matrix metalloproteinase production correlates with immune activation and leukocyte migration in leprosy reactional lesions. Infect Immun 78:1012–1021 40. Gerlach RF, Tanus-Santos JE (2005) Circulating matrix metalloproteinase-9 levels as a biomarker of disease. Clin Cancer Res 11:8887
Graefes Arch Clin Exp Ophthalmol (2013) 251:741–749 41. Nikkola J, Vihinen P, Vuoristo MS, Kellokumpu-Lehtinen P, Kähäri VM, Pyrhönen S (2005) High serum levels of matrix metalloproteinase9 and matrix metalloproteinase-1 are associated with rapid progression in patients with metastatic melanoma. Clin Cancer Res 11:5158–5166 42. Robak E, Wierzbowska A, Chmiela M, Kulczycka L, SysaJedrejowska A, Robak T (2006) Circulating total and active metalloproteinase-9 and tissue inhibitor of metalloproteinases-1
749 in patients with systemic lupus erythomatosus. Mediators Inflamm 2006:17898 43. Tuuttila A, Morgunova E, Bergmann U, Lindqvist Y, Maskos K, Fernandez-Catalan C, Bode W, Tryggvason K, Schneider G (1998) Three-dimensional structure of human tissue inhibitor of metalloproteinases-2 at 2.1 A resolution. J Mol Biol 284:1133– 1140