Molecular Vision 2015; 21:612-620
Received 03 February 2015 | Accepted 22 May 2015 | Published 25 May 2015
1Department of Ophthalmology, IMU clinical school, International Medical University, Seremban, Negeri Sembilan, Malaysia; 2Department of Community Medicine, Faculty of Medicine & Defence Health, National Defence University of Malaysia, Sungai Besi Camp, 57000 KL, Malaysia; 3Department of Pharmacology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh campus, Jalan Hospital, 47000, Sungai Buloh, Selangor Darul Ehsan, Malaysia
Correspondence to: Renu Agarwal, Department of Pharmacology, Faculty of Medicine, Universiti Teknologi MARA, 47000, Sungai Buloh, Selangor, Malaysia; Phone; +60361265000; FAX: +60361267073; email: email@example.com
Introduction: Elevated intraocular pressure (IOP) in glaucomatous eyes is often due to increased resistance to aqueous outflow. Previous studies have shown that increased extracellular material deposition in outflow pathways leads to increased resistance to aqueous outflow, and transforming growth factor (TGF)-β seems to play a role in the deposition of extracellular material. TGF-β2 is the predominant isoform in ocular tissue. Hence, comparison of the aqueous humor TGF-β2 level between patients with open-angle glaucoma (OAG) and controls would provide direct evidence for the role of TGF-β2 in the etiology of OAG. Hence, we performed this meta-analysis to develop an accurate estimate of the changes in aqueous humor TGF-β2 levels among OAG patients.
Methods: We undertook the meta-analysis of data from all available studies that had a case-control design and investigated the aqueous humor levels of TGF-β2 (total, active, or both) in OAG patients. OAG included primary OAG (POAG), secondary glaucoma, pseudoexfoliation syndrome, and exfoliation glaucoma (EXG).
Results: We selected a total of eight studies that measured TGF-β2 levels in the aqueous humor of glaucomatous eyes. The studies included in this meta-analysis clearly demonstrated that in OAG eyes, total TGF-β2 levels are significantly elevated, whereas in POAG eyes, both the total and active TGF-β2 levels are significantly higher than in controls.
Conclusions: The analysis of pooled data showed that aqueous humor TGF-β2 levels are elevated in patients with OAG and POAG.
Glaucomatous optic neuropathy, characterized by loss of retinal ganglion cells and visual fields, is the leading cause of irreversible blindness. Glaucoma is classified as primary or secondary. Primary glaucoma is further classified based on the anatomic details of the drainage angle of the eye as primary open-angle glaucoma (POAG) or primary angle-closure glaucoma (PACG). Based on whether POAG is associated with elevated intraocular pressure (IOP) or not, it can be of two types, namely high-tension glaucoma (HTG) and normal-tension glaucoma (NTG). Exfoliation glaucoma (EXG) is a type of secondary glaucoma. Among the different types of glaucoma, OAG, including HTG, NTG, and EXG, is the most common form and may account for up to 90% of glaucoma cases .
Despite the existing knowledge regarding the characteristics of different types of glaucoma, the treatment options generally have a common approach involving the reduction of IOP. Furthermore, the currently used drugs for lowering IOP mainly act by modifying the aqueous humor dynamics without altering the underlying pathophysiological processes leading to high IOP, which is often due to increased resistance in the aqueous humor outflow pathways . The pathophysiological processes leading to increased resistance in outflow pathways remain debatable. However, it is important to identify the potential targets that may help in developing pharmacological strategies that will not only lower IOP, but also prevent or retard the underlying pathological process and hence the disease progression.
Studies have shown that in glaucomatous eyes, increased resistance to aqueous outflow is associated with increased deposition of extracellular matrix (ECM) in outflow pathways [3-5]. An imbalance between the rate of ECM synthesis and its breakdown leads to increased ECM deposition in aqueous outflow pathways. The mechanisms involved in the increased ECM deposition in glaucomatous eyes and role of several cytokines has been evaluated [6,7]. Among all of these, transforming growth factor (TGF)-β seems to play a significant role .
TGF-β2, a 25 kDa polypeptide, is synthesized by the tissue in the anterior segment of eye. It is a component of normal aqueous humor and can be detected in many mammalian eyes [8-11]. Three isoforms that are expressed in human ocular tissue are TGF-β1, TGF-β2, and TGF-β3 . Among these, TGF-β2 is regarded as the major isoform in ocular tissue [12,13]. It is mainly secreted in a biologically inactive form. Activation results from dissociation of a dimeric active TGF-β2 from the latent form [14,15]. This is a multifunctional growth factor involved in several cellular activities such as cell migration, cell proliferation, cell death, and protein synthesis . It promotes ECM production and suppresses cell proliferation. Several studies have been carried out in humans to evaluate the aqueous humor level of TGF-β2 in patients with OAG. Therefore, we undertook this meta-analysis of all eligible studies to develop an accurate estimate of the changes in aqueous humor TGF-β2 levels among patients with OAG.
For this study, we carried out a computerized search of three databases, namely ISI Web of Knowledge, Scopus, and PubMed. Keywords such as transforming growth factor-β2 (TGF-β2), aqueous humor, serum, and glaucoma were used in combination. Relevant studies were also searched manually from the reference lists of reviews and clinical trials. The literature search was updated on 31/01/15.
The selection criteria were as follows: (1) studies that investigated the aqueous humor levels of TGF-β2 (total, active, or both) in OAG patients and (2) a case-control design. All selected studies were carefully and independently reviewed by two investigators to assess their suitability for inclusion in this study.
Two independent investigators collected the data using a predetermined datasheet and both investigators reached a consensus on all items included for analysis. The items that were extracted from each study included name of the first author, year of publication, number of cases and controls, number of eyes as cases or controls, age of included subjects, type of glaucoma, mean IOP, and aqueous TGF-β2 levels (total, active, or both).
The meta-analysis was based on the data retrieved from individual studies selected using the inclusion and exclusion criteria. Only the original data, not the analyzed data, were retrieved. The purpose of the analysis was to estimate the population’s mean difference based on a larger sample size. In this study, we used the random effect model. The assumptions underlying the use of this model are that (i) heterogeneity is present among the participant studies due to difference in populations’ characteristics, data collection methods, and research setting; and (ii) the effect size is estimated from a distribution of true effects based on study sample size—hence, the true effect could vary from study to study [17,18].
Hedge’s standardized mean difference with its 95% confidence interval (CI) was used to assess the difference in active and total TGF-β2 between cases and controls. A forest plot was used to show the individual study and pooled effect size. The Z statistic with the corresponding p value was used to assess the significance of the effect size. Weighting of studies was carried out by computing the inverse of variance of each effect size of individual participant studies. Under the random effect model, studies with a larger sample size would have smaller standard error, and hence greater weight. Heterogeneity was assessed with Q statistics and I2, which reflect percentage of variation in the effect size of studies that is not due to sampling error. A p value of less than 0.05 was indicative of significant heterogeneity among the studies. Sensitivity analysis was performed by sequential omission of individual studies in every comparison. Publication bias was assessed through Begg’s funnel plot and Egger’s regression.
The literature search based on the keywords yielded 12 studies; of these, eight were selected based on the inclusion and exclusion criteria described above [11,19-25]. The number of eyes included in each of these studies, the mean age of subjects, and IOP values are presented in Table 1. The types of OAG patients in the included studies were POAG, secondary open-angle glaucoma (SOAG), pseudoexfoliation syndrome (PXS), and EXG. The study done by Min et al.  included POAG and SOAG patients, while that of Inatani et al.  included PXS patients besides POAG and SOAG. Picht et al. and Ozcan et al. [20,23] included POAG and EXG patients, while the other three studies included POAG only. The control subjects in all studies had cataract with no other ophthalmic abnormalities. The presence of cataract may affect the composition of aqueous humor; however, these samples represent the closest to normal aqueous humor that can be possibly obtained from age-matched normal subjects.
All studies included in this meta-analysis measured the TGF-β2 levels in aqueous humor using enzyme-linked immunosorbent assay (ELISA). Yamamoto et al.  measured only the total TGF-β2; Ozcan et al.  measured only active TGF-β2; and the rest of the studies, measured both the total and active TGF-β2. The total TGF-β2 was measured after activation of the latent form by acidification, whereas intrinsically active TGF-β2 was measured before acidification.
The mean values for total and active TGF-β2 in the aqueous humor of different types of OAG in eight of the included studies are shown in Table 2. The standardized mean difference (SMD) is represented by Hedges’ g statistic. The SMDs for total and active TGF-β2 in all subtypes of OAG were 2.20 and 0.56, respectively. The difference was found to be highly significant with the random model for total TGF-β2 (p<0.001), but not for active TGF-β2 (p=0.21). The test of heterogeneity showed that there was significant heterogeneity among studies (Table 3).
Since all included studies involved POAG patients but not other types of OAG, we further performed pooled analysis for POAG cases. The results of pooled analysis for the association of active aqueous humor TGF-β2 levels with POAG are shown in Table 4 and Figure 1. The mean difference was significant for all studies included in the analysis. Inatani et al.  showed the largest mean difference, while Tripathy et al. showed the smallest difference. The pooled mean difference was found to be highly significant with the random model. The test of heterogeneity showed that there was also significant heterogeneity among studies.
The SMD for total TGF-β2 between cases of POAG and controls was significant for all studies. The highest values were observed by Inatani et al.  and the lowest by Min et al.. The mean difference between the POAG and control groups was significantly high. The Q statistics showed that there was a significant heterogeneity beyond the sampling error (Table 5, Figure 2).
The data showed that no study significantly influenced the pooled effects, as any study could be omitted without significantly affecting the results. The findings showed an absence of publication bias for the active TGF- β 2 for OAG (p>0.05) or total and active TGF-β2 for POAG (p>0.05; Figure 3B, Figure 4A,B). Although the funnel plot was symmetric for the total TGF- β 2 for OAG, Egger’s regression indicated a significant publication bias (p=0.02; Figure 3A).
To investigate whether TGF-β plays an important role in the etiology of OAG, comparison of the aqueous humor TGF-β levels between patients with OAG and controls can provide direct evidence. Therefore, in the present study, we performed a meta-analysis and summarized the studies that investigated presence of TGF-β in the aqueous humor in patients with OAG, as well as in control subjects. TGF-β2 is considered the predominant form in ocular tissue, and we selected studies that measured TGF-β2 levels in aqueous humor.
A total of eight studies were included. The pooled analysis of all types of OAG showed that the difference between the control and OAG groups were significant for total but not active TGF-β2. However, when we analyzed the POAG cases, the differences were significant for both the total and active TGF-β2. Picht et al.  observed that there was no correlation between an increase in total TGF-β2 and an increase in the active form of TGF-β2. In the POAG cases that they studied, there were patients with significantly increased concentrations of total TGF-β2 and normal low levels of the active form of TGF-β2, and vice versa. Their data also indicated that age, gender, and IOP do not influence TGF-β2 levels. At the same time, it can also be assumed that the latent form of TGF-β2 is a source for active TGF-β2; hence, in OAG eyes, elevated levels of latent TGF-β2 represented a ready pool from which active TGF-β2 could be generated depending on the presence of stimuli and pathways for activation that have not been fully elucidated. Significantly high level of both the total and active TGF-β2 in POAG cases indicated not only increased secretion, but also the activation of latent TGF-β2. OAG is a multifactorial disease and in some types of OAG, the factors initiating the conversion of TGF-β2 to its active form may be less prominent, as they are in POAG. Hence, we observed a significant difference for active TGF-β2 in pooled analysis for POAG cases but not in OAG. Nevertheless, significantly high values of total TGF-β2 in both the OAG and POAG cases supported the hypothesis that TGF-β2 plays an important role in the etiology of OAG, and particularly the etiology of POAG.
The functional significance of TGF-β is complex . Studies have shown that it inhibits cell growth of vascular endothelial cells, but augments α-smooth muscle actin expression [26,27]. Besides being a major molecular mediator of immunosuppression in the aqueous humor , it is also a potent stimulator of the synthesis of ECM components. In various tissues, it activates gene transcription and increases the synthesis and secretion of matrix proteins [29-31], fibronectin [31,32], elastin, and proteoglycans [33,34]. At the same time, it decreases synthesis of proteolytic enzymes, that degrade these proteins . Fleenor et al. showed that in cultured human anterior segments perfused with a medium supplemented with activated human recombinant TGF-β2, the outflow facility reduced by 27%. Meanwhile, Gottanka et al. (2004)  observed that TGF-β2 causes focal accumulation of fine fibrillar extracellular material under the inner wall of Schlemm’s canal. They also demonstrated that Schlemm’s canal was 27% shorter and the length of the inner wall apparently available for fluid flow was 33% less compared with paired control eyes. The increased deposition of ECM components seems to be attributable to TGF-β2’s ability to cause increased synthesis and reduced degradation of the ECM, resulting in its net accumulation . Hence, increased deposition of various components of ECM, the likely cause of increased outflow resistance and elevated IOP, could be attributed to elevated TGF-β2 activity.
Despite the clear strengths of our study, such as the larger sample size compared with the individual works, the results need to be interpreted with caution. The difference between individual studies’ estimates and the pooled estimate might indicate the possibility of unaddressed confounding variables such as age, the severity of disease, progression of disease, and the pharmacotherapy administered; such variables may modify the potential role of TGF-β2. The aim of this analysis is to present scientific facts rather than suggesting an intervention. One of the limitations of the statistical method used in this study is that it does not adequately reflect the error associated with parameter estimation, especially with the small number of studies. The assumption of normally distributed random effects or between-study errors is not easily verified or justified .
It is worth noting that measures of publication bias using funnel plots and Egger’s regression may not appear to represent the same conclusion. Symmetry of the funnel plot, which is indicative of the absence of publication bias, was not distinct in some instances, although the Egger’s regression statistics indicated clear absence of such a possibility. Similarly, a significant Egger’s test did not conform to the symmetric funnel plot for total TGF pooled analysis. However, neither Begg’s funnel plots nor Egger’s regression statistics are conclusive evidence of publication bias . Nevertheless, we have taken all measures—such as extensive database search through online resources and manual search—to minimize the possibility of bias. One of the concerns in a meta-analysis with small number of studies is the possibility of false-negative results . However, such results are more likely when the findings from individual studies are shown to be opposing each other . The absence of publication bias for the active TGF-β2 for OAG reduces the possibility of false-negative results. Moreover, the total number of patients included in this meta-analysis is considered sufficient to provide statistical power to detect a clinically meaningful difference .
In conclusion, the studies included in this meta-analysis clearly demonstrated that in OAG eyes, total TGF-β2 levels are significantly elevated, whereas in POAG eyes, both the total and active TGF-β2 levels are significantly higher than in controls. Nevertheless, the analysis of pooled data confirmed the presence of elevated aqueous humor TGF-β2 levels in patients with OAG. Further investigations into the potential use of anti-TGF-β therapy in the management of glaucoma, therefore, will be of substantial value.
Authors gratefully acknowledge the financial support by Ministry of Education, Malaysia, under grant numbers 600-RMI/FRGS TD 5/3 (2/2015) and 600-RMI/FRGS 5/3 (110/2014).