Molecular Vision 2011; 17:1436-1448 <http://www.molvis.org/molvis/v17/a162>
Received 17 December 2010 | Accepted 26 May 2011 | Published 31 May 2011

Insulin, insulin-like growth factor–1, insulin receptor, and insulin-like growth factor–1 receptor expression in the chick eye and their regulation with imposed myopic or hyperopic defocus

Alexandra Marcha Penha, Frank Schaeffel, Marita Feldkaemper

University Eye Hospital, Institute for Ophthalmic Research, Section of Neurobiology of the Eye, Tuebingen, Germany

Correspondence to: Marita Feldkaemper, Institute for Ophthalmic Research, Section of Neurobiology of the Eye, Tuebingen, Germany; Phone: +49 (0) 7071-29 87424; FAX: +49 (0) 7071 295193; email: marita.feldkaemper@uni-tuebingen.de

Abstract

Purpose: Insulin stimulates eye growth in chicks and this effect is greatly enhanced if the retinal image is degraded by the defocus of either sign. However, it is unclear whether the insulin receptor (IR) is expressed at all in the chicken retina in animals 1–2 weeks post-hatching. We have investigated IR expression and whether IR transcript abundance varies in the fundal layers. To elucidate the possible role of insulin and insulin-like growth factor (IGF)-1 signaling in eye growth regulation, mRNA (mRNA) levels were measured for insulin, IGF-1, IR, and IGF-1 receptor (IGF-1R) during imposed negative or positive defocus.

Methods: Chicks were treated binocularly with positive or negative spectacle lenses for 4 or 24 h, or they remained untreated (n=6, for each treatment group). Northern blot analyses were performed to screen for transcription variants in the different fundal layers of untreated animals. Real-time PCR was used to quantify IR, IGF-1R, IGF-1, and insulin mRNA levels in the different fundal layers of the chick eye in the three treatment groups.

Results: IR mRNA was found in all the studied tissues, although there is evidence of tissue-specific transcript variations. Three major transcripts were detected for IR. The brain, retina, and choroid showed the longest transcript (4.3 kb), which was not present in the liver. Nevertheless, the liver and brain showed a second transcript (2.6 kb) not present in the retina and choroid. A short transcript (1.3 kb) was the predominant form in the liver and choroid, and it seems to be present in the retinal pigment epithelium (RPE) and sclera as well. In the retina, no significant gene expression changes were found when defocus was imposed. Interestingly, in the RPE, both IR and IGF-1R were already downregulated after short periods (4 h) of positive lens wear. In contrast, IR and IGF-1R were upregulated in the choroid and fibrous sclera during treatment with negative, but not positive, lenses.

Conclusions: Differences observed in the IR transcript length in different tissues suggest possibly different functions. The differential regulation of IR and IGF-1R in the RPE, choroid, and fibrous sclera is consistent with their involvement in a signaling cascade for emmetropization.

Introduction

The prevalence of myopia in the human population has dramatically increased in developed regions of Asia [1], but also in Western societies [2] during the last decades. It is estimated that approximately 30% of the worldwide population is currently myopic [3]. Genetic, as well as environmental, factors have been implicated in the development of myopia, but the relative importance of genes versus environment remains controversial [4]. Myopia can be artificially induced in animal models like chicks [5], tree shrews [6], monkeys [7,8], and guinea pigs [9] by placing negative lenses, which induce hyperopic defocus [10], in front of the animal’s eye. The shift of the focal plane behind the photoreceptor layer triggers substantially increased eye growth. Furthermore, the choroid thins. In contrast, positive lenses, imposing myopic defocus, slow the rate of ocular elongation and the choroid thickens by up to a factor of 3 in chicks [11].

Among the retinal transmitters and modulators implicated in eye growth regulation are vasoactive intestinal polypeptide [12,13], dopamine [1416], retinoic acid [1719], glucagon [2022], insulin [23,24], γ-aminobutyric acid [25], and growth factors, such as transforming growth factor and basic fibroblast growth factor [26,27]. In addition, it has been shown that the transcription factor Egr-1 (called ZENK in chicks) may be involved [2830].

It was previously found that glucagon and insulin have opposite effects on cell proliferation in the retina [31] and on axial eye growth [24,32]. While intravitreal glucagon injections inhibit growth toward myopia in chicks, by slowing axial eye growth rates, insulin not only blocks hyperopia development, which is normally induced by positive lenses, but also induces high amounts of axial myopia that is further increased when negative lenses are worn [32]. In addition, insulin and insulin-like growth factor (IGF)-1 both increase the rate of ocular elongation in eyes not wearing any lenses [24]. Glucagon agonist injections prevent deprivation myopia in a dose-dependent manner [20,33], largely by increasing choroidal thickness [24]. On the contrary, insulin injections cause choroidal thinning in chicks wearing positive lenses, but have no effect on choroidal thickness in animals that have normal vision [32]. When both glucagon and insulin are injected as a cocktail, the growth-promoting effect of insulin is blocked, while the effects of glucagon on choroidal thickness are also suppressed [32]. Interestingly, a very recent study [34] demonstrated a genetic association between IGF-1 and high-grade myopia in an international family cohort. These findings are in line with experimental data from the chicken model of myopia, showing that IGF-1 can promote ocular growth and axial myopia.

So far, only a few studies have targeted IGF-1 and insulin in the eye, apart from those related to their roles in embryogenesis. The human interphotoreceptor matrix displays IGF-1 immunoreactivity, while cultured human retinal pigment epithelium (RPE) cells synthesize and release IGF-1, raising the possibility that the RPE may serve as a source of IGF-1 in vivo [35]. Moreover, cultured embryonic retinal chicken explants contain, synthesize, and release appreciable amounts of IGF-1, which can stimulate the DNA synthesis of retinal explants [36]. Insulin-like immunoreactivity was demonstrated in glial cell culture, but it remains unclear whether this immunoreactivity was due to the binding of circulating pancreatic insulin to insulin receptors (IRs) and/or uptake and storage in these cells, or if insulin is indeed locally synthesized. In situ hybridization studies showed that Müller cells contain mRNA (mRNA) necessary for de novo synthesis of insulin or a closely homologous peptide [37]. Because Müller cells contain glycolytic enzymes and can synthesize and store glycogen [38], it has been suggested that insulin produced in the retina may play a role in glucose or amino acid metabolism. There is evidence that retinal cells are capable of synthesizing preproinsulin mRNA, raising the possibility that insulin is involved in intracellular (autocrine) and intercellular (paracrine) signaling [39]. Moreover, it has been speculated that insulin acts like a growth hormone during development to control retinal differentiation. Later, it may act as a modulator of neurotransmission within the retina [39]. The presence of insulin in the developing retina before pancreatic insulin synthesis is initiated [40] suggests an important role of insulin in the retina, perhaps as a growth or trophic factor. From the rat brain, it is already known that insulin can modulate neurotransmission by increasing the efficiency of neuroactive amino acid reuptake [41]. In addition, insulin has been shown to affect brain monoamine metabolism [42] and dopamine release [43].

The polypeptide hormones insulin and IGF-1 exert their biologic effects by binding to distinct transmembrane receptors on the surface of the target cells. Although the receptors for insulin and IGF-1 are, like their ligands, highly homologous [44,45], they are known to have different, but partially overlapping, physiologic functions [46]. While insulin is known to be a key regulator of physiologic processes such as glucose transport and glycogen and fat biosynthesis [47], IGF-1 is believed to mediate the effects of growth hormone and play a role as a paracrine growth factor [48]. The levels of the IR are regulated during development, and it is likely that changing the receptor level while keeping the level of insulin constant may be a regulatory mechanism [49]. Analysis of the protein structure has revealed that receptors for IGF-1 and insulin belong to a family of cell surface glycoproteins that share a cytoplasmic tyrosine-kinase function [50,51]. Both are oligomers composed of two types of subunits: α-subunits containing the hormone-binding site, and β-subunits, which are phosphorylated after binding of the ligand. The alpha and beta subunits are encoded by a single gene. Ligand interaction with the extracellular portions of these receptors activates intracellular tyrosine-kinase activity, and generates a biologic signal that is thought to be specified by structural determinants in the cytoplasmic domain. The presence of IR/IGF receptor hybrids was demonstrated in proliferative neuroretina. These receptors were considered to be physiologically relevant for the action of the locally produced proinsulin found in early neurogenesis [52]. Two types of IGF receptors on nerve cell membranes from the murine and human central nervous system (CNS) were identified based on their binding specificity, subunit structure, kinase activity, and interaction with antibodies to insulin receptor [53]. In the CNS, insulin receptors are also composed of two types of subunit, but the size of the α-subunit is significantly smaller, whereas the β-subunit is similar to that of other cell types [5456]. The differences in the composition of IR in neuronal and nonneuronal cells suggest a unique function for IR in neural networks [57].

Because of these fundamental differences between IR molecules in the brain and peripheral target tissues [54], the first objective of this study was to investigate which transcript variants of IR exist in the fundal layers of the eye, compared to the liver and brain, to learn more about which variants might be involved in eye-growth regulation. The second objective was to study changes in mRNA levels for insulin, IGF-1, IR, and IGF-1 receptor (IGF-1R), after defocus was imposed in the retinal image for 4 or 24 h, a condition that is known to induce axial refractive errors.

Methods

Treatment of animals

Ten-day-old male White Leghorn chickens were raised under a 12 h:12 h light-dark cycle, and treated binocularly either with plus (+7D) or minus (−7D) lenses for 4 (n=6) and 24 h (n=9), respectively. In addition, a separate control group was used for each treatment duration. To attach the lenses, Velcro rings were glued onto the feathers around the eyes a few hours before the lens treatment was started. The experimental treatment was in accordance with the ARVO Statement for Care and Use of Animals in Ophthalmic and Vision Research and was approved by the university commission for animal welfare.

Tissue preparation

The chicks were sacrificed by an overdose of diethyl ether between 1 and 3 PM Eyes were enucleated and vertically cut with a razor blade, discarding the anterior part containing the lens. The vitreous body was removed and the pecten was cut out. From the posterior part of the eye, a biopsy punch of 8 mm was made and placed in a Petri dish that was filled with ice-chilled saline. The different fundal layers were carefully separated under visual control of a dissecting microscope. In addition, forebrain and liver samples were dissected from four untreated animals. All the tissues were immediately collected in RNAlater (Qiagen, Hilden, Germany), immediately frozen in liquid nitrogen, and stored at −80 °C until RNA extraction. In general, the right eyes were taken for further analysis. Only when the separation of the fundal layers was not optimal was the left eye studied instead.

Total RNA extraction and cDNA synthesis

Different RNA extraction methods were used for northern blot and real-time PCR analyses. For northern blot analysis, total RNA from the liver, brain, retina, RPE, choroid, and sclera was isolated using TRIzol (Invitrogen, Karlsruhe, Germany) according to the manufacturer’s instructions. For real-time PCR analyses, the RNeasy Mini kit (RNeasy Mini Kit; Qiagen, Hilden, Germany) was used following the manufacturer’s instructions. All tissues were homogenized in the respective lysis buffer for 1 min, at a range of speed that increased in four steps from 11,000 to 20,000 rpm (Diax 900 Homogenizer; Heidolph, Ketheim, Germany). All RNA samples were treated with DNase I (DNA-free Ambion, Darmstadt, Germany) and the respective yield was measured by spectrophotometry at 260 and 280 nm. The optical density (OD260/OD280) ratios were calculated to ensure the quality of the isolated RNA, and samples with a ratio between 1.8 and 2.0 were used for further analysis. The integrity of the RNA samples was confirmed by agarose-gel electrophoresis. Thereafter, 1 µg of brain, liver, retina, RPE, and choroid, and 0.5 µg of both sclera layers were reversed transcribed by Moloney Murine Leukemia Virus (M-MLV) reverse transcriptase (Promega, Mannheim, Germany) using 0.25 µg oligo(dT)15 and 0.025 µg random hexamer primers (Invitrogen) in a final volume of 15 µl.

Semiquantitative real-time polymerase chain reaction

Table 1 shows all of the specific primer sequences used for semiquantitative real-time PCR, the respective amplicon size, and the NCBI accession number. Primer design was performed using the web-based program Oligo Explorer 1.4 (Gene Link, Hawthorne, NY). The specificity of the PCR reactions was verified by melting-curve analysis and agarose-gel electrophoresis, and the PCR products were sequenced to verify their identity. The PCR reactions were performed in a thermocycler (iCycler iQ Real-Time PCR System; Bio-Rad, Hercules, CA) using a fluorescence detection kit (QuantiTect SYBR Green PCR kit, Qiagen). Primer annealing was executed at 59 °C for 30 s and elongation at 72 °C for 20 s. Every single reaction, with a final volume of 15 μl, contained a primer concentration of 0.6 μM, a template amount corresponding to 2 ng of RNA, and the master mix of the fluorescence kit. Each sample was analyzed in triplicate and the fluorescence signal was measured with every cycle at 72 °C. In addition, but only for insulin, a hydrolysis probe and primers designed by Biomers (Ulm, Germany) were used to verify the specificity of insulin mRNA expression (Table 1). To compare the amplification of different regions from the IR mRNA sequence, different pairs of primers comprising different exons were designed based on the sequence provided by the Entrez and Ensembl databases (Table 2).

Northern blot analysis

Differences in transcript size were analyzed by northern blotting. Biotin-labeled antisense probes were designed using Oligo Explorer 1.4 based on the published mRNA chicken sequences in the Entrez and Ensembl databases. Two specific probes for IR were used for northern blot analysis (Table 3). Approximately 1 μg of RNA was run in a 0.8% formaldehyde-agarose gel, blotted overnight onto a positively charged nylon membrane (Roche, Mannheim, Germany), and crosslinked upon exposure to ultraviolet light. Blots were hybridized overnight with 100 ng/ml of biotin-labeled IR probe at 50 °C. The next day, the membranes were washed twice for 5 min each with 2× Saline-Sodium-Citrate buffer (SSC)/0.1% sodium dodecyl sulfate (SDS) at 42 °C, followed by two additional washes, for 15 min each, with 0.5× SSC/0.1% SDS, at the same temperature (1× SSC buffer contains 0.15 M NaCl and 15 mM Na3-citrate*2 H2O, pH 7.0). Chemiluminescence detection was performed with the Chemiluminescent Nucleic Acid Detection Mode kit (Thermo Scientific GmbH, Ulm, Germany). Blots were exposed to X-ray films Curix HT1 (AGFA, Leverkusen, Germany) and the time of exposure was adjusted as needed to obtain the desired signal strength. Liver RNA was used as a positive control for IR expression, and the brain was used as a nervous tissue control. Two to four samples per tissue were used for northern blot analysis with probe 1 (Table 4), but only one retina, brain, and liver sample was used for northern blot analysis with probe 2.

Statistics and data analysis

Statistical analysis was done based on the quantification cycle (Cq) values of the PCR products. To test the primers’ efficiency, a dilution curve was created using template amounts ranging from 0.5 to 16.0 ng per well. The efficiency (E) for each primer was calculated according to the formula: E=10(−1/slope), giving a value between 1 and 2, whereby 1 corresponds to 0% efficiency and 2 to 100%. The slope (m) was determined by plotting the mean of Cq of each of the cDNA dilution samples versus the logarithm of the sample concentration. The efficiencies were 2.03 for β-actin, 2.11 for hypoxanthin-guanin-phosphoribosyl-transferase (HPRT) 2.02 for IR, 1.97 for IGF-1, and 1.98 for IGF-1R. The mean normalized expression (MNE) [58] was used to compare relative expression levels among different groups and was calculated according to the following formula, where E is the primer efficiency, reference corresponds to β-actin, and the targets are IR, IGF-1, and IGF-1R:

MNE values were first analyzed using an outlier calculator (GraphPad, La Jolla, CA). Then, one-way ANOVA (ANOVA) was applied for statistical comparison between the different treatment groups. A significant ANOVA (p<0.05) was followed by a Student's t-test for post hoc analysis. Statistical tests were performed using JMP version 7 software (SAS Institute, Cary, NC).

Results

Northern blot analysis of insulin receptor expression in untreated tissues

Northern blots were used to compare the transcript length of the IR (Figure 1) in neuronal and nonneuronal tissues. The emphasis in the northern blot analyses was placed on the investigation of transcript variants among different tissues and not on the quantification of the IR mRNA levels in those tissues. Therefore, a loading control was not used. Figure 1 shows a northern blot result for IR expression in the liver, brain, retina, choroid, and RPE.

With probe 1, the brain and the retina showed two transcripts, approximately 4.3 kb and 1.3 kb long, with the longer transcript being more abundant. In addition, the brain showed a third band of about 2.6 kb. This transcript was also found in the liver, together with the more abundant 1.3 kb transcript and a small transcript of 0.4 kb, which might be a degradation product (not shown). The choroid, like the brain and retina, also expressed two transcripts of 4.3 and 1.3 kb, but in this tissue, the shorter transcript was more prominent than the longer one. The RPE contained only very small amounts of IR mRNA, and mainly the shorter variant. In addition, we analyzed two scleral samples (combined fibrous and cartilaginous layer). They expressed the 1.3 kb transcript and two smaller transcripts of approximately 0.8 kb and 0.4 kb (results not shown). With probe 2, which was complementary to a part of the L2-binding domain, the retina and the brain only showed one very strong band, corresponding to 5.3 kb. The same band was found in the liver, although it was very faint, in combination with a 2.0 kb band.

Comparison of amplification of different regions of the insulin receptor mRNA sequence, by real-time PCR

Three pairs of primers were designed to amplify different parts of the IR sequence. The first primer pair, called insulin receptor ligand-binding domain (IR-LD), amplified a part of the sequence corresponding to the L2 domain in the receptor protein. The leucine-rich L2 domain is involved in the ligand binding and is encoded by exon numbers 4 and 5. The second primer pair, IR-tyrosine kinase (TK), was designed to amplify a fragment that after translation belongs to the tyrosine-kinase domain, which is a catalytic domain with phosphotransferase activity, and comprises exons 16 and 17. The mentioned exons are localized on the longest transcript sequence for the IR mRNA based on the Ensembl database. Based on the results (Figure 2), all tissues expressed mRNA for the tyrosine-kinase domain and the L2 (binding domain), although in different amounts. For both the IR-TK and IR-LD, the retina and brain showed the highest amounts, followed by the choroid, RPE, liver, and cartilaginous and fibrous sclera. The third primer pair also amplified a part of the tyrosine-kinase domain and comprised exons 17 and 18. Concerning the IR-TK2 region, no specific PCR product was obtained in most tissues; only the retina and liver showed a very low expression (data not shown).

Insulin receptor, IGF-1 receptor, IGF-1, and insulin mRNA expression in ocular fundal layers of untreated animals

The expression levels of IR, IGF-1R, IGF-1, and insulin were measured and compared in all fundal layers of untreated chicks. The results are shown in Figure 3, with a higher quantification cycle threshold corresponding to a lower amount of mRNA. Both receptors and IGF-1 were detected in all tissues, but besides the retina, the amount of IGF-1 mRNA was very low. In addition, insulin mRNA was detected in the retina, but at very low concentrations, and in the choroid with even lower levels than in the retina. Retinal insulin expression was confirmed when an insulin-specific hydrolysis probe was used. The usage of a hydrolysis probe offers a high specificity, because hybridization and fluorescence will only occur if the target DNA sequence exactly matches the hydrolysis probe sequence (for further information, see reference [59]). The results for insulin mRNA quantification are not shown in detail, since the expression level was too low to be precisely quantified.

Comparing the mRNA amount between different fundal layers, it turned out that the mRNA for both receptors was most abundant in the retina, followed by the RPE, choroid, and cartilaginous and fibrous sclera. In the fibrous sclera, the Cq values for all the genes were higher, and therefore, mRNA levels were lower for the reference genes (β-actin and HPRT), as well as for all the other genes.

Insulin mRNA expression in the retina, retinal pigment epithelium, and choroid after lens treatment

Although only very low amounts of insulin mRNA were detectable in the retina and choroid of untreated animals, lens treatment might upregulate this amount. The expression level of insulin was therefore measured and compared in the retina, RPE, and choroid after 4 and 24 h of lens treatment. However, no significant increase in insulin mRNA levels was detected under any of these conditions.

Insulin receptor, IGF-1 receptor, and IGF-1 mRNA levels in the retina after lens treatment

Treatment with negative and positive lenses did not significantly alter IR or IGF-1R mRNA expression levels after 4 or 24 h of lens treatment compared with the appropriate control group (Figure 4). In addition, neither 4 h nor 24 h of lens treatment had a significant influence on IGF-1 mRNA expression levels.

Insulin receptor, IGF-1 receptor, and IGF-1 mRNA levels in the retinal pigment epithelium after lens treatment

Four hours of myopic defocus induced a twofold downregulation of IR and an approximately fourfold downregulation of IGF-1R mRNA levels, compared to the respective control groups (Figure 5, ANOVA, IR, plus lens versus control p=0.03; IGF-1R, plus lens versus control p=0.03). This effect disappeared when the animals were treated with lenses for 24 h. In comparison to the levels in control animals, lens treatment did not significantly influence IGF-1 mRNA levels after 4 or 24 h. Nevertheless, IGF-1 mRNA levels were significantly lower after 4 h of positive lens wear compared to 4 h of negative lens wear (ANOVA, minus versus plus p=0.05).

Insulin receptor, IGF-1 receptor, and IGF-1 mRNA levels in the choroid after lens treatment

In the choroid, treatment with negative lenses for 4 h resulted in an initial threefold increase of IR mRNA concentration compared to the control group (Figure 6, ANOVA, minus lens versus control p=0.03). These changes in the minus lens–treated group remained after 24 h, compared with both the control and plus groups (ANOVA, minus lens versus control p=0.004; minus lens versus plus lens p=0.01; Figure 6). IGF-1R was also increased in the minus lens–treated group compared to the plus lens group, but only after 24 h of lens treatment. This effect was not as strong as for IR (ANOVA, minus lens versus plus lens p=0.05). IGF-1 mRNA expression in the choroid was very low and difficult to quantify. Within this limitation, no significant changes in IGF-1 mRNA expression were detected.

Insulin receptor, IGF-1 receptor, and IGF-1 mRNA levels in both scleral layers after lens treatment

In the cartilaginous sclera, lens treatment influenced neither IR nor IGF-1R mRNA levels after 24 h of lens treatment (Figure 7A). However, in the fibrous sclera (Figure 7B), 24 h of positive-imposed defocus induced a threefold upregulation of IR mRNA levels compared with the control group, and a fourfold upregulation for IGF-1R at the same time point (ANOVA, IR, minus lens versus control p=0.038; IGF-1R, minus lens versus control p=0.005). IGF-1 was expressed at low levels, especially in the cartilaginous sclera. Lens treatment did not induce a significant change in IGF-1 mRNA levels in either layer.

Discussion

Insulin receptor transcript variants

Significant differences in the transcript sizes of IR have been previously described in different tissues and animal species. Four different IR transcript variants were reported in chicks (Ensembl database) with transcript lengths varying between 198 and 3,220 bp. All of these can be translated to a protein product, but in the case of the small transcripts, the functions are unknown. In addition, several proteomic studies showed differences in the molecular weight of IR alpha and beta subunits among different tissues [6063]. IR therefore seems to undergo different transcriptional and translational regulation and posttranslational modifications, including glycosylation or proteolytic cleavage in the CNS [64]. In the brain, the α-subunit of the IR has a lower molecular size compared to that of other tissues. It was therefore hypothesize that insulin exerts its proposed neuromodulatory effects mediated by the specific IRs in the brain [63]. In our study, we found 4.3 kb, 2.6 kb, and 1.3 kb long IR transcripts when we used a probe that corresponds to part of the sequence for the IR tyrosine-kinase domain. An mRNA of 4.3 kb can account for a protein as large as IR (1,332 amino acids), whereas the smallest transcript can only encode for parts of the protein. We were able to show that different tissues expressed transcripts of different lengths; the RPE and sclera seem to express mainly short IR transcripts. Moreover, the smaller mRNA transcript was the predominant form in the choroid and liver, while the longer transcript was most abundant in the brain and retina. This result may suggest that IRs in the retina and brain have a different function than in the nonneuronal tissues. As expected from the Ensembl database, only one long transcript was detected in the brain and retina when an L2-binding domain–specific probe was used.

One recent publication stated that the chicken retina does not express IR mRNA [65]. In contrast, we found relatively high amounts in the retina of our chicks. Since different parts of IR were amplified in both studies, we used three different primer pairs for the amplification of different parts of IR in an attempt to solve the discrepancy. We found that the mRNA for the insulin-binding domain and the tyrosine-kinase domain are present at moderate levels in the retina. Nevertheless, one PCR product that was designed to amplify a short sequence between exons 17 and 18 could only be detected in a very small amount in the retina and liver, suggesting that this part of the sequence is not efficiently transcribed or differs from that in the literature.

Possible sites of action for insulin and IGF-1 in the eye

Several lines of evidence support a role of insulin and/or IGF-1 in the control of eye growth [24,32,34], including one strong clue coming from chicken studies, in which it was shown that intravitreal injections of both peptides lead to the development of myopia. The current study aimed to quantify the mRNA expression of both the receptors and their ligands in all fundal layers to gain a broader insight into their role. IR and IGF-1R were expressed in all tissues, being more abundant in the retina, followed by the RPE, choroid, and cartilaginous and fibrous sclera. Therefore, assuming that the mRNA is translated into protein, all of these are possibly target sites for insulin and IGF-1 action. IGF-1 mRNA expression was only relatively high in the retina, meaning that only here could a significant amount of IGF-1 be produced. This result corresponds with an older study [66] in which IGF-1-specific transcripts were higher in the neural retina than in the sclera plus choroid plus RPE. Although insulin mRNA expression was detected in the retina and choroid, as confirmed with a specific hydrolysis probe and gel electrophoresis, its level was very low. It was therefore impossible to quantify these low amounts reliably. Lens treatment did not increase insulin mRNA levels in the retina, RPE, or choroid. Taken together, it seems unlikely that changes in the amount of insulin produced by the retina itself influences eye growth. Rather, it is more likely that IGF-1 plays a physiologic role in the retina. Insulin and IGF-1 mRNA levels in the retina seem to be developmentally regulated, as shown by binding assays, decreasing by about 50% between the embryonic and the post-hatching stages [67]. In the rat retina, it has already been shown that Müller cells may contain the mRNA necessary for de novo synthesis of insulin or a closely homologous peptide [37]. However, the source of insulin in the avascular chicken retina still remains unclear, and due to the very low amounts, it will be difficult to uncover its function.

Influence of lens treatment on insulin receptor, IGF-1 receptor, and IGF-1 expression in the fundal layers of the eye

Lens wear influenced IR, IGF-1R, and IGF-1 mRNA expression in different fundal layers of the chicken eye, with most changes seen in the RPE, choroid, and fibrous sclera. In our study, the whole retina was used to measure changes in gene expression after induced positive and negative defocus. Insulin and IGF-1R mRNA were both highly expressed in the retina, but neither their expression level nor the IGF-1 mRNA levels were influenced by defocus of 4 and 24 h. In contrast, short plus lens–treatment periods (4 h) led to a strong downregulation of both receptors in the RPE; in addition, the IGF-1 mRNA levels were much lower in the plus lens group compared to the minus lens–treated animals. Insulin and IGF-1R signaling may therefore be involved in the onset of growth arrest after negative defocus. It is not surprising that the gene expression changes did not persist after 24 h of treatment, since it is known from microarray studies that only a minority of gene expression changes seem to be common to multiple treatment times [68]. This can be interpreted in terms of different mechanisms, one for the onset of increased (minus lens) or decreased (plus lens) eye growth, and the other for maintaining its persistence. An upregulation of IGF-1R mRNA expression in the RPE of chicks that were treated with minus lenses for 2 days was recently reported using microarrays [69]. We did not measure the upregulation of this receptor after one day, but as already discussed, time often matters and may explain the different results.

In the present study, we were able to demonstrate that short treatment with plus lenses mainly affected mRNA levels in the RPE, whereas longer and minus lens treatment influenced gene expression level in the choroid and fibrous sclera. The choroid is a thin layer of vascular pigmented tissue with two main physiologic functions: the nourishment of the external retina and the regulation of ocular temperature. Both insulin and IGF-1 mRNA levels were present at low levels in the choroid, as confirmed with a specific hydrolysis probe and gel electrophoresis, but it was impossible to quantify the low amounts reliably. Nevertheless, the respective receptors levels changed during the treatment. Higher mRNA levels of IR were already measured after 4 h, and insulin and IGF-1R showed higher expression levels than controls and/or plus lens–treated animals after 24 h of lens wear. Zhu and Wallman [24] recently hypothesized that although it is unknown whether glucagon and insulin first act at the retina, RPE, or choroid, they finally act to change the physiologic state of the choroid, which in turn modulates both choroidal thickness and scleral growth, the latter being manifested as a change in the rate of ocular elongation. Our results support this hypothesis. Especially after minus lens treatment, the only changes in receptor gene expression were detected in the choroid and sclera. Since only low insulin and IGF-1 mRNA levels were detected in the choroid, is seems unlikely that they are synthesized in significant amounts in this tissue. Instead, the tissue could be a potential target for these growth factors’ action, given that insulin and IGF-1 injections in chicken eyes were shown to induce choroidal thickness changes under some experimental conditions. Insulin increases ocular elongation without thinning the choroid in animals not wearing lenses. Only when plus lenses were attached, which normally cause choroidal thickness, does insulin thin the choroid, as well as accelerating ocular elongation. In contrast, IGF-1 injections increase ocular elongation, together with thickening rather than thinning the choroid [24,32].

In contrast to that of mammals, the sclera of chicks is composed of two layers: an inner cartilaginous layer, containing collagen types II and IV and aggrecan as the predominant proteoglycans, and an outer fibrous layer (like that in mammals), which contains collagen type I and small proteoglycans such as decorin [70]. When the rate of elongation of the eye is visually manipulated, both scleral layers show opposite modulation [62], with the fibrous sclera getting thinner and the cartilaginous becoming thicker during induced eye growth. Interestingly, we were able to show that the fibrous sclera showed a similar upregulation of IR mRNA expression as the choroid. One of the reasons for this upregulation of the IGF-1R mRNA expression in the fibrous sclera might be that IGF-1 exerts an effect on the developing ocular tissue by influencing the synthesis and degradation of the extracellular matrix in chicks [71]. In the guinea pig model, it was already shown that IGF-1 can induce fibroblast proliferation in a dose-dependent manner through the signal transducer and activator of transcription 3 (STAT3) signaling transduction pathway [72,73]. No lens-induced changes in gene expression were detected in the cartilaginous sclera. Compared to the fibrous sclera, the cartilaginous sclera had higher mRNA levels for all measured genes. This result is consistent with a previous study by Schippert et al. [74]. These authors also showed that the fibrous sclera generally has lower mRNA levels than the cartilaginous sclera in untreated chicks. Co-cultures already demonstrated that the choroid can influence the underlying sclera, for example by changing proteoglycan synthesis in the sclera [75]. Retinoic acid, the synthesis of which is influenced in opposite directions by positive and negative defocus in both the retina and choroid, has been shown to affect proteoglycan synthesis in the chick sclera [17]. Moreover, retinoic acid might interact with the IGF-1 signaling by changing the level of IGF-binding proteins and thereby modulating scleral IGF-1 levels [76].

Comparison to studies in humans

Recent epidemiological and retrospective case series studies in humans underlined a role of IGF-1 as regulator of ocular growth, at least in patients with primary growth hormone insensitivity [77], children with growth hormone deficiency [78], and children born preterm [79]. Low IGF-1 serum concentrations were associated with hyperopia in these studies. These results are consistent with our animal study showing an association of reduced IGF-1 mRNA levels with the development of hyperopia in the RPE of chicks. Interestingly, patients with primary growth hormone insensitivity who received IGF-1 therapy showed a tendency toward mild myopia. These findings point toward a role of IGF-1 as a growth signal in humans as well as in chicks.

Implications and summary

In summary, we found that a short exposure to myopic defocus (plus lenses) leads to a downregulation of insulin receptor and IGF-1R receptor expression in the RPE. In contrast, hyperopic defocus, imposed by minus lenses (but not myopic defocus) significantly increased their expression levels in the choroid. Similar changes were seen in the fibrous sclera. Taken together, the current study supports a role of insulin and/or IGF-1 signaling during eye growth. Whether different IR transcript variants found in the retina and choroid are also translated into proteins with different functions needs to be shown in the future.

Acknowledgments

This work was supported by the European Union Marie Curie Research training Network MYEUROPIA Grant MRTN-CT-2006–034021.

References

  1. Lin LL, Shih YF, Tsai CB, Chen CJ, Lee LA, Hung PT, Hou PK. Epidemiologic study of ocular refraction among schoolchildren in Taiwan in 1995. Optom Vis Sci. 1999; 76:275-81. [PMID: 10375241]
  2. Vitale S, Sperduto RD, Ferris FL, 3rd. Increased prevalence of myopia in the United States between 1971–1972 and 1999–2004. Arch Ophthalmol. 2009; 127:1632-9. [PMID: 20008719]
  3. Dirani M, Chamberlain M, Garoufalis P, Chen C, Guymer RH, Baird PN. Refractive errors in twin studies. Twin Res Hum Genet. 2006; 9:566-72. [PMID: 16899164]
  4. Morgan I, Rose K. How genetic is school myopia? Prog Retin Eye Res. 2005; 24:1-38. [PMID: 15555525]
  5. Wallman J, Turkel J, Trachtman J. Extreme myopia produced by modest change in early visual experience. Science. 1978; 201:1249-51. [PMID: 694514]
  6. McBrien NA, Norton TT. The development of experimental myopia and ocular component dimensions in monocularly lid-sutured tree shrews (Tupaia belangeri). Vision Res. 1992; 32:843-52. [PMID: 1604853]
  7. Wiesel TN, Raviola E. Myopia and eye enlargement after neonatal lid fusion in monkeys. Nature. 1977; 266:66-8. [PMID: 402582]
  8. Troilo D, Judge SJ. Ocular development and visual deprivation myopia in the common marmoset (Callithrix jacchus). Vision Res. 1993; 33:1311-24. [PMID: 8333155]
  9. Howlett MH, McFadden SA. Spectacle lens compensation in the pigmented guinea pig. Vision Res. 2009; 49:219-27. [PMID: 18992765]
  10. Schaeffel F, Glasser A, Howland HC. Accommodation, refractive error and eye growth in chickens. Vision Res. 1988; 28:639-57. [PMID: 3195068]
  11. Wallman J, Wildsoet C, Xu A, Gottlieb MD, Nickla DL, Marran L, Krebs W, Christensen AM. Moving the retina: choroidal modulation of refractive state. Vision Res. 1995; 35:37-50. [PMID: 7839608]
  12. Stone RA, Laties AM, Raviola E, Wiesel TN. Increase in retinal vasoactive intestinal polypeptide after eyelid fusion in primates. Proc Natl Acad Sci USA. 1988; 85:257-60. [PMID: 2448769]
  13. Seltner RL, Stell WK. The effect of vasoactive intestinal peptide on development of form deprivation myopia in the chick: a pharmacological and immunocytochemical study. Vision Res. 1995; 35:1265-70. [PMID: 7610586]
  14. Stone RA, Lin T, Laties AM, Iuvone PM. Retinal dopamine and form-deprivation myopia. Proc Natl Acad Sci USA. 1989; 86:704-6. [PMID: 2911600]
  15. Iuvone PM, Tigges M, Stone RA, Lambert S, Laties AM. Effects of apomorphine, a dopamine receptor agonist, on ocular refraction and axial elongation in a primate model of myopia. Invest Ophthalmol Vis Sci. 1991; 32:1674-7. [PMID: 2016144]
  16. Schaeffel F, Hagel G, Bartmann M, Kohler K, Zrenner E. 6-Hydroxy dopamine does not affect lens-induced refractive errors but suppresses deprivation myopia. Vision Res. 1994; 34:143-9. [PMID: 8116274]
  17. Mertz JR, Wallman J. Choroidal retinoic acid synthesis: a possible mediator between refractive error and compensatory eye growth. Exp Eye Res. 2000; 70:519-27. [PMID: 10866000]
  18. Seko Y, Shimizu M, Tokoro T. Retinoic acid increases in the retina of the chick with form deprivation myopia. Ophthalmic Res. 1998; 30:361-7. [PMID: 9731117]
  19. Bitzer M, Feldkaemper M, Schaeffel F. Visually induced changes in components of the retinoic acid system in fundal layers of the chick. Exp Eye Res. 2000; 70:97-106. [PMID: 10644425]
  20. Feldkaemper MP, Schaeffel F. Evidence for a potential role of glucagon during eye growth regulation in chicks. Vis Neurosci. 2002; 19:755-66. [PMID: 12688670]
  21. Buck C, Schaeffel F, Simon P, Feldkaemper M. Effects of positive and negative lens treatment on retinal and choroidal glucagon and glucagon receptor mRNA levels in the chicken. Invest Ophthalmol Vis Sci. 2004; 45:402-9. [PMID: 14744878]
  22. Vessey KA, Rushforth DA, Stell WK. Glucagon- and secretin-related peptides differentially alter ocular growth and the development of form-deprivation myopia in chicks. Invest Ophthalmol Vis Sci. 2005; 46:3932-42. [PMID: 16249466]
  23. Feldkaemper MP, Burkhardt E, Schaeffel F. Localization and regulation of glucagon receptors in the chick eye and preproglucagon and glucagon receptor expression in the mouse eye. Exp Eye Res. 2004; 79:321-9. [PMID: 15336494]
  24. Zhu X, Wallman J. Opposite effects of glucagon and insulin on compensation for spectacle lenses in chicks. Invest Ophthalmol Vis Sci. 2009; 50:24-36. [PMID: 18791176]
  25. Stone RA, Liu J, Sugimoto R, Capehart C, Zhu X, Pendrak K. GABA, experimental myopia, and ocular growth in chick. Invest Ophthalmol Vis Sci. 2003; 44:3933-46. [PMID: 12939312]
  26. Rohrer B, Stell WK. Basic fibroblast growth factor (bFGF) and transforming growth factor beta (TGF-beta) act as stop and go signals to modulate postnatal ocular growth in the chick. Exp Eye Res. 1994; 58:553-61. [PMID: 7925692]
  27. Honda S, Fujii S, Sekiya Y, Yamamoto M. Retinal control on the axial length mediated by transforming growth factor-beta in chick eye. Invest Ophthalmol Vis Sci. 1996; 37:2519-26. [PMID: 8933768]
  28. Fischer AJ, Morgan IG, Stell WK. Colchicine causes excessive ocular growth and myopia in chicks. Vision Res. 1999; 39:685-97. [PMID: 10341956]
  29. Bitzer M, Schaeffel F. Defocus-induced changes in ZENK expression in the chicken retina. Invest Ophthalmol Vis Sci. 2002; 43:246-52. [PMID: 11773038]
  30. Schippert R, Burkhardt E, Feldkaemper M, Schaeffel F. Relative axial myopia in Egr-1 (ZENK) knockout mice. Invest Ophthalmol Vis Sci. 2007; 48:11-7. [PMID: 17197510]
  31. Fischer AJ, Omar G, Walton NA, Verrill TA, Unson CG. Glucagon-expressing neurons within the retina regulate the proliferation of neural progenitors in the circumferential marginal zone of the avian eye. J Neurosci. 2005; 25:10157-66. [PMID: 16267223]
  32. Feldkaemper MP, Neacsu I, Schaeffel F. Insulin acts as a powerful stimulator of axial myopia in chicks. Invest Ophthalmol Vis Sci. 2009; 50:13-23. [PMID: 18599564]
  33. Vessey KA, Lencses KA, Rushforth DA, Hruby VJ, Stell WK. Glucagon receptor agonists and antagonists affect the growth of the chick eye: a role for glucagonergic regulation of emmetropization? Invest Ophthalmol Vis Sci. 2005; 46:3922-31. [PMID: 16249465]
  34. Metlapally R, Ki CS, Li YJ, Tran-Viet KN, Abbott D, Malecaze F, Calvas P, Mackey DA, Rosenberg T, Paget S, Guggenheim JA, Young TL. Genetic association of insulin-like growth factor-1 polymorphisms with high-grade myopia in an international family cohort. Invest Ophthalmol Vis Sci. 2010; 51:4476-9. [PMID: 20435602]
  35. Waldbillig RJ, Pfeffer BA, Schoen TJ, Adler AA, Shen-Orr Z, Scavo L, LeRoith D, Chader GJ. Evidence for an insulin-like growth factor autocrine-paracrine system in the retinal photoreceptor-pigment epithelial cell complex. J Neurochem. 1991; 57:1522-33. [PMID: 1717648]
  36. Calvaruso G, Vento R, Giuliano M, Lauricella M, Gerbino E, Tesoriere G. Insulin-like growth factors in chick embryo retina during development. Regul Pept. 1996; 61:19-25. [PMID: 8701023]
  37. Das A, Pansky B, Budd GC. Demonstration of insulin-specific mRNA in cultured rat retinal glial cells. Invest Ophthalmol Vis Sci. 1987; 28:1800-10. [PMID: 3312078]
  38. Kuwabara T, Cogan DG. Retinal glycogen. Arch Ophthalmol. 1961; 66:680-8. [PMID: 14460992]
  39. Budd GC, Pansky B, Glatzer L. Preproinsulin mRNA in the rat eye. Invest Ophthalmol Vis Sci. 1993; 34:463-9. [PMID: 8440600]
  40. Meimaridis DG, Morse DE, Pansky B, Budd GC. Insulin immunoreactivity in the fetal and neonatal rat retina. Neurosci Lett. 1990; 118:116-9. [PMID: 2259461]
  41. Rhoads DE, DiRocco RJ, Osburn LD, Peterson NA, Raghupathy E. Stimulation of synaptosomal uptake of neurotransmitter amino acids by insulin: possible role of insulin as a neuromodulator. Biochem Biophys Res Commun. 1984; 119:1198-204. [PMID: 6143558]
  42. Shimizu H, Bray GA. Effects of insulin on hypothalamic monoamine metabolism. Brain Res. 1990; 510:251-8. [PMID: 1691951]
  43. Amoroso S, Taglialatela M, Canzoniero LM, Cragoe EJ, , Jr di Renzo G, Annunziato L. Possible involvement of Ca++ ions, protein kinase C and Na(+)-H+ antiporter in insulin-induced endogenous dopamine release from tuberoinfundibular neurons. Life Sci. 1990; 46:885-94. [PMID: 2157121]
  44. Froesch ER, Zapf J. Insulin-like growth factors and insulin: comparative aspects. Diabetologia. 1985; 28:485-93. [PMID: 3902539]
  45. Rechler MM, Nissley SP. The nature and regulation of the receptors for insulin-like growth factors. Annu Rev Physiol. 1985; 47:425-42. [PMID: 2986537]
  46. Kim JJ, Accili D. Signalling through and insulin receptors: where is the specificity? Growth Horm IGF Res. 2002; 12:84-90. [PMID: 12175645]
  47. Kahn CR. The molecular mechanism of insulin action. Annu Rev Med. 1985; 36:429-51. [PMID: 2986528]
  48. Nilsson A, Isgaard J, Lindahl A, Dahlstrom A, Skottner A, Isaksson OG. Regulation by growth hormone of number of chondrocytes containing IGF-I in rat growth plate. Science (New York, NY). 1986; 233:571-4.
  49. Holdengreber V, Ren Y, Ben-Shaul Y, Hausman RE. Co-localization of the insulin receptor, jun protein and choline acetyltransferase in embryonic chick retina. Exp Eye Res. 1998; 66:307-13. [PMID: 9533858]
  50. Yarden Y, Ullrich A. Molecular analysis of signal transduction by growth factors. Biochemistry. 1988; 27:3113-9. [PMID: 3291942]
  51. Yarden Y, Ullrich A. Growth factor receptor tyrosine kinases. Annu Rev Biochem. 1988; 57:443-78. [PMID: 3052279]
  52. Garcia-de Lacoba M, Alarcon C, de la Rosa EJ, de Pablo F. Insulin/insulin-like growth factor-I hybrid receptors with high affinity for insulin are developmentally regulated during neurogenesis. Endocrinology. 1999; 140:233-43. [PMID: 9886830]
  53. Gammeltoft S, Haselbacher GK, Humbel RE, Fehlmann M, Van Obberghen E. Two types of receptor for insulin-like growth factors in mammalian brain. EMBO J. 1985; 413A:3407-12. [PMID: 3004958]
  54. Heidenreich KA, Zahniser NR, Berhanu P, Brandenburg D, Olefsky JM. Structural differences between insulin receptors in the brain and peripheral target tissues. J Biol Chem. 1983; 258:8527-30. [PMID: 6345543]
  55. Gammeltoft S, Fehlmann M, Van Obberghen E. Insulin receptors in the mammalian central nervous system: binding characteristics and subunit structure. Biochimie. 1985; 67:1147-53. [PMID: 3907719]
  56. Rees-Jones RW, Hendricks SA, Quarum M, Roth J. The insulin receptor of rat brain is coupled to tyrosine kinase activity. J Biol Chem. 1984; 259:3470-4. [PMID: 6368546]
  57. Lowe WL, , Jr Boyd FT, Clarke DW, Raizada MK, Hart C, LeRoith D. Development of brain insulin receptors: structural and functional studies of insulin receptors from whole brain and primary cell cultures. Endocrinology. 1986; 119:25-35. [PMID: 3522210]
  58. Simon P. Q-Gene: processing quantitative real-time RT-PCR data. Bioinformatics. 2003; 19:1439-40. [PMID: 12874059]
  59. Bustin SA. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol. 2000; 25:169-93. [PMID: 11013345]
  60. Waldbillig RJ, Fletcher RT, Chader GJ, Rajagopalan S, Rodrigues M, LeRoith D. Retinal insulin receptors. 1. Structural heterogeneity and functional characterization. Exp Eye Res. 1987; 45:823-35. [PMID: 3123267]
  61. Waldbillig RJ, LeRoith D. Insulin receptors in the peripheral nervous system: a structural and functional analysis. Brain Res. 1987; 409:215-20. [PMID: 3555703]
  62. Shemer J, Raizada MK, Masters BA, Ota A, LeRoith D. Insulin-like growth factor I receptors in neuronal and glial cells. Characterization and biological effects in primary culture. J Biol Chem. 1987; 262:7693-9. [PMID: 2953724]
  63. Masters BA, Shemer J, Judkins JH, Clarke DW, Le Roith D, Raizada MK. Insulin receptors and insulin action in dissociated brain cells. Brain Res. 1987; 417:247-56. [PMID: 3308002]
  64. Gammeltoft S, Kowalski A, Fehlmann M, van Obberghen E. Insulin receptors in rat brain: insulin stimulates phosphorylation of its receptor beta-subunit. FEBS Lett. 1984; 172:87-90. [PMID: 6428937]
  65. Fischer AJ, Scott MA, Zelinka C, Sherwood P. A novel type of glial cell in the retina is stimulated by insulin-like growth factor 1 and may exacerbate damage to neurons and Muller glia. Glia. 2010; 58:633-49. [PMID: 19941335]
  66. Danias J, Stylianopoulou F. Expression of IGF-I and IGF-II genes in the adult rat eye. Curr Eye Res. 1990; 9:379-86. [PMID: 1692782]
  67. Waldbillig RJ, Arnold DR, Fletcher RT, Chader GJ. Insulin and IGF-1 binding in chick sclera. Invest Ophthalmol Vis Sci. 1990; 31:1015-22. [PMID: 2162332]
  68. Stone RA, Khurana TS. Gene profiling in experimental models of eye growth: clues to myopia pathogenesis. Vision Res. 2010; 50:2322-33. [PMID: 20363242]
  69. Zhang Z, Su J, Zhang Y, Wildsoet C. Effect of imposed myopic defocus on the gene expression profiles. ARVO Annual Meeting; 2008 April 27-May 1; Fort Lauderdale (FL).
  70. Rada JA, Thoft RA, Hassell JR. Increased aggrecan (cartilage proteoglycan) production in the sclera of myopic chicks. Dev Biol. 1991; 147:303-12. [PMID: 1916012]
  71. Tripathi BJ, Tripathi RC, Livingston AM, Borisuth NS. The role of growth factors in the embryogenesis and differentiation of the eye. Am J Anat. 1991; 192:442-71. [PMID: 1781453]
  72. Zhu ZC, Zhang JS, Ji XY, Wang YF, Chen Y, Li XJ. Insulin-like growth factor-1 induced activation and expression of signal transducers and activators of transcription-3 in scleral fibroblast of guinea pigs. Zhonghua Yan Ke Za Zhi. 2007; 43:1125-9. [PMID: 18331685]
  73. Kusakari T, Sato T, Tokoro T. Visual deprivation stimulates the exchange of the fibrous sclera into the cartilaginous sclera in chicks. Exp Eye Res. 2001; 73:533-46. [PMID: 11825024]
  74. Schippert R, Brand C, Schaeffel F, Feldkaemper MP. Changes in scleral MMP-2, TIMP-2 and TGFbeta-2 mRNA expression after imposed myopic and hyperopic defocus in chickens. Exp Eye Res. 2006; 82:710-9. [PMID: 16289164]
  75. Nickla DL, Wallman J. The multifunctional choroid. Prog Retin Eye Res. 2010; 29:144-68. [PMID: 20044062]
  76. Jones JI, Clemmons DR. Insulin-like growth factors and their binding proteins: biological actions. Endocr Rev. 1995; 16:3-34. [PMID: 7758431]
  77. Bourla DH, Laron Z, Snir M, Lilos P, Weinberger D, Axer-Siegel R. Insulinlike growth factor I affects ocular development: a study of untreated and treated patients with Laron syndrome. Ophthalmology. 2006; 113:1197.e1-5.
  78. Parentin F, Tonini G, Perissutti P. Refractive evaluation in children with growth defect. Curr Eye Res. 2004; 28:11-5. [PMID: 14704909]
  79. Hok-Wikstrand M, Hard AL, Niklasson A, Hellstrom A. Early postnatal growth variables are related to morphologic and functional ophthalmologic outcome in children born preterm. Acta Paediatr. 2010; 99:658-64. [PMID: 20105141]