Abstract
Insulin-like growth factor I (IGF-1) is a neurotrophic factor and is the ligand for insulin-like growth factor 1 receptor (IGF-1R). Reduced expression of IGF-1 has been reported to cause deafness, mental retardation, postnatal growth failure, and microcephaly. IGF-1R is expressed in the retina and photoreceptor neurons; however, its functional role is not known. Global IGF-1 KO mice have age-related vision loss. We determined that conditional deletion of IGF-1R in photoreceptors and pan-retinal cells produces age-related visual function loss and retinal degeneration. Retinal pigment epithelial cell-secreted IGF-1 may be a source for IGF-1R activation in the retina. Altered retinal, fatty acid, and phosphoinositide metabolism are observed in photoreceptor and retinal cells lacking IGF-1R. Our results suggest that the IGF-1R pathway is indispensable for photoreceptor survival, and activation of IGF-1R may be an essential element of photoreceptor and retinal neuroprotection.
Subject terms: Retina, Growth factor signalling
Introduction
Insulin-like growth factor-1 (IGF-1), the ligand for insulin-like growth factor-1 receptor (IGF-1R), is a neurotrophic factor [1, 2]. In humans, IGF-1 deficiency caused by homozygous mutations in the IGF1 causes microcephaly, mental retardation, deafness, and postnatal growth failure, confirming the essential role of IGF-1 as a neurotrophic factor [1, 2]. Global IGF-1 KO mice have age-related vision loss in addition to congenital deafness [3]. Because of these properties, IGF-1 has been used to counteract neurodegeneration in experimental animal models of brain injury [4] and retinal neurodegeneration [5–8]. Our work over the past decade showed that the proteins that cause cancer (oncogenes) are neuroprotective [9–13] to post-mitotic photoreceptor cells, whereas anti-oncogenes inhibit tumor progression and promote retinal degeneration [14–16]. Furthermore, other laboratories have observed that proteins that promote tumor cell progression prevent retinal degeneration [17, 18]. Several neuroprotective pathways have been identified in the retina. These pathways are active under stress-induced conditions [10, 19–21], suggesting that other pathways might provide neuroprotection under normal conditions. Recently, exercise-induced retinal neuroprotection has been reported [22]. Progress in the identification of these pathways is slow due to the lack of a thorough understanding of these complex neuroprotective signaling pathways. IGF-1R is a receptor tyrosine kinase that mediates the actions of IGF1, which binds with high affinity, whereas IGF2 and insulin bind to this receptor with low affinity [23]. In the present study, we report the expression of IGF-1R and its functional role in the retina and photoreceptor cells.
Results
Generation of rod-specific IGF-1R KO mice
Some null mutants for the IGF-1R gene die of respiratory failure at birth, and those that do survive exhibit a severe growth deficiency (45% normal size) [24, 25]. To overcome postnatal developmental complications and determine the cell-specific role of IGF-1R, we generated rod photoreceptor-specific IGF-1R KO (abbreviated as rodIgf-1r−/−) mice. To generate rod-specific conditional IGF-1R KO mice, we mated homozygous floxed IGF-1R mice with mice expressing Cre-recombinase under the control of rhodopsin promoter (i75-Cre) [26]. The resultant mice were heterozygous for IGF-1R. The Cre-carrying IGF-1R heterozygous mice were backcrossed with homozygous IGF-1R floxed mice. This breeding resulted in Cre-carrying homozygous IGF-1R floxed mice (rodIgf-1r−/−) and homozygous IGF-1R floxed mice (wild-type control).
Characterization of rod-specific IGF-1R KO mice
Wild-type and rodIgf-1r−/− mouse retina sections were stained with IGF-1R and Cre antibodies. The results indicated the loss of IGF1R in the rod inner segment (RIS) and outer plexiform (OPL) layers of the retina compared with wild-type mice (Fig. 1A–F). Our results also showed the proper targeting of Cre-recombinase to rod photoreceptor cells, as we observed the expression of Cre in the outer nuclear layer (ONL) of rodIgf-1r−/− mice, but not in wild-type mice (Fig. 1G–I). These experiments suggest the Cre-mediated deletion of IGF-1R in rod photoreceptor cells. Immunoblot analysis shows a significant decrease in the levels of IGF-1R in rodIgf-1r−/− mouse retinas compared with wild-type retinas (Fig. 1J, K). We carried out serial-tangential cryosectioning with immunoblotting [27] to examine the expression of IGF-1R in rod and cone photoreceptors of wild-type and rodIgf-1r−/− mice, using rhodopsin as a photoreceptor marker (Fig. 1L, M). The sections presented in panel L include both outer segments and inner segments. The peak IGF-1R presence in rodIgf-1r−/− mice can be seen between fractions 5 and 7, whereas the IGF-1R protein presence in littermate controls is seen in fractions 3–9. Furthermore, the IGF-1R levels in peak rhodopsin fractions are much lower than in other fractions (5–9). Our results showed reduced expression of IGF-1R in the photoreceptors of rodIgf-1r−/− mice, compared with wild-type mice. The residual expression of IGF-1R in the rodIgf-1r−/− mouse photoreceptors could most likely come from cones or incomplete recombination of Cre-mediated excision of floxed IGF-1R allele.
Functional characterization of rodIgf-1r−/−mice
Retinal function was measured in 1-, 4-, and 6-month-old rodIgf-1r−/− and wild-type littermates. At 1 month, the rodIgf-1r−/− mice showed significantly reduced scotopic a-wave amplitude compared with wild-type mice (Fig. 2A). The scotopic a-wave amplitude progressively declined as the age of rodIgf-1r−/− mice increased (4 months and 6 months) compared with wild-type mice (Fig. 2C, E). There was no significant difference in the scotopic b-wave amplitude at one month between wild-type and rodIgf-1r−/− mice (Fig. 2A). However, as the age of the mice increased, there was a significant decrease in scotopic b-wave amplitude in rodIgf-1r−/− mice at 4 and 6 months compared with wild-type mice (Fig. 2C, E). The difference in photopic b-wave amplitudes was not significant between wild-type and rodIgf-1r−/− mice at each time point (Fig. 2B, D, and F). These experiments suggest that IGF-1R is essential for rod photoreceptor functions.
We generated retina-specific IGF-1R KO mice under the control of a homeobox gene, Chx10 [28]. Six-week-old Chx10-Cre-IGF-1R KO (abbreviated as retIgf-1r−/−) mice exhibited a significant loss of scotopic a-wave and scotopic b-wave amplitudes compared with six-week-old wild-type mice (Fig. 2G). There was no significant difference in the photopic b-wave amplitudes between retIgf-1r−/− and wild-type mice (Fig. 2H). These observations suggest that loss of IGF-1R in other retinal cells exacerbates the loss of rod function compared with the loss of IGF-1R in rod cells.
Structural characterization of rodIgf-1r−/− mice
To determine whether loss of IGF-1R in rods affects retinal structure, we stained retinal sections from 2-month-old rodIgf-1r−/− and wild-type littermate mice with hematoxylin and eosin and examined the morphology. The morphology in rodIgf-1r−/− retina appeared to be thinning of the photoreceptor outer segments (POS) and outer nuclear layer (ONL) compared with wild-type mouse retina (Fig. 3A, B). Quantitative analysis of ONL thickness measured at 0.24-mm intervals from the optic nerve head to the inferior and superior ora serrata indicated that there was a significant loss of rod nuclei as an indicator of photoreceptor degeneration in rodIgf-1r−/− mice compared with wild-type mice (Fig. 3C). These observations suggest that IGF-1R is essential for the maintenance of photoreceptor structure. Four-month-old rodIgf-1r−/− mice had reduced ONL and POS compared with wild-type mice (Fig. 3D, E). Quantitative analysis indicated that there was a significant loss of rod nuclei as an indicator of photoreceptor degeneration in rodIgf-1r−/− mice compared with wild-type mice (Fig. 3F). The optical coherence tomography analysis indicated a significant loss of OPL-ONL and IS-EPTRS (photoreceptor tips) layer thickness in rodIgf-1r−/− mice compared with wild-type mice (Fig. 3G, H). Wild-type and rodIgf-1r−/− mouse retina sections probed with TUNEL staining indicated increased TUNEL-positive staining in rodIgf-1r−/− mice compared with wild-type mice (Fig. 3I), suggesting that loss of IGF-1R in photoreceptor cells causes rod degeneration.
Characterization of retina-specific IGF-1R KO mice
Six-week-old wild-type and retIgf-1r−/− mouse retina sections were stained with IGF-1R, rhodopsin, rod-Trα, and rod arrestin antibodies. The results indicated the significant loss of IGF1R in OPL, inner plexiform layer (IPL), and ganglion cell layer, and some residual IGF-1R expression in the RIS (Fig. 4A–C). The expression of rhodopsin and rod-Trα were significantly reduced in retIgf-1r−/− mice compared with wild-type mice (Fig. 4D–G). It is interesting to note that arrestin expression in retIgf-1r-/ appears to be higher in IS, ONL, and OPL layers of the retina (Fig. 4 H–J). Immunoblot analysis showed significantly reduced levels of IGF-1R, rhodopsin, transducin alpha (Trα), and cone arrestin (Fig. 4K, L). The levels of rod arrestin were significantly higher in retIgf-1r−/− mice than in wild-type mice (Fig. 4K, L). Quantitative analysis of ONL thickness showed a significant loss of rod nuclei in retIgf-1r−/− mice compared with wild-type mice (Fig. 4M–O). These findings show that loss of IGF-1R in pan-retinal cells leads to retinal degeneration, suggesting that IGF-1R is essential for retinal cell survival.
Effect of circulating IGF-1 on the retina
IGF-1R is activated by the ligand IGF-1, and the liver is the major site of IGF-1 production [29]. To generate liver-specific IGF-1 KO mice, we mated floxed IGF-1 mice with mice carrying Cre-recombinase under the control of albumin promoter. Circulating IGF-1 levels were measured in serum from 8-week-old wild-type and liver-specific IGF-1 KO (abbreviated as livIgf-1−/−) mice. Loss of IGF-1 in the liver resulted in a >95% decrease in IGF-1 in circulation compared with wild-type mice (Fig. 5A). We measured retinal function in eight-week-old wild-type and livIgf-1−/− mice, and the loss of IGF-1 in the liver had no effect on retinal function (Fig. 5B). These results suggest that IGF-1R activation in the retina may occur through IGF-1 produced outside the liver.
Müller cell-specific deletion of IGF-1 does not affect retina function
IGF-1 expression has been observed in Müller glia [30]. Using Müller cell-specific glial high-affinity glutamate transporter (GLAST)-Cre mice, we examined whether Müller cell IGF-1 serves as a ligand for photoreceptor IGF-1R [31]. To test the efficiency and specificity of Müller cell-specific GLAST-Cre mice [31], we mated this line with an Ai9 reporter line having a loxP-flanked STOP cassette preventing transcription of a CAG promoter-driven red fluorescent protein variant (tdTomato) inserted into the Gt(ROSA)26Sor locus [32]. GLAST-Cre-Ai9 mice were orally gavaged with peanut oil (control) or 1 mg tamoxifen (TMX) (dissolved in peanut oil) every alternate day for 3 days. We found robust tdTomato fluorescence in retinas from mice gavaged with TMX (Fig. 5D, E). There was no expression in the absence of TMX (Fig. 5C). The Müller cell marker glutamine synthetase colocalized with tdTomato, indicating Müller cell-specific expression of tdTomato (Fig. 5D). We used GLAST-Cre mice to delete IGF-1(imgIgf-1−/−) in Müller cells. Primary Müller cells were isolated from P7 C57Bl6 pups and stained with GFAP to confirm that they were indeed Müller cells (Fig. 5F). Primary Müller cells were prepared from 2-month-old imgIgf-1−/− mice that were gavaged with either TMX or peanut oil, and IGF-1 expression was examined with qRT-PCR. Our results indicated significantly reduced levels of IGF-1 in imgIgf-1−/− mice treated with TMX compared with mice treated with peanut oil (Fig. 5G). Examination of retinal function in these mice at 3.5 (Fig. 5H, I) and 5.5 (Fig. 5J, K) months of age indicated that loss of IGF-1 in the Müller cells had no effect on retinal function (Fig. 5H–K), suggesting that Müller cells may not be the source of IGF-1 production.
Expression of IGF-1, IGF-1R, and IGFBP3 in the retina, rod photoreceptor cells, retinal pigment epithelium, and Müller cells
The RiboTag mouse carries a ribosomal protein gene (Rpl22) with a floxed C-terminal exon followed by an identical exon tagged with hemagglutinin (HA) [33]. When RiboTag is crossed to a mouse expressing a cell-type-specific Cre recombinase, expression of the HA-epitope-tagged protein is activated in the cell type of interest [33]. We bred rhodopsin-Cre with Rpl22 floxed mice. Polyribosomal immunoprecipitation with HA-antibody recovered ribosomal-associated mRNA. qRT-PCR analysis of the mRNA showed enrichment of rod-specific rhodopsin and phosphodiesterase 6α transcripts (Fig. 5L). The mRNA isolated from rod cells by polyribosomal immunoprecipitation, total retina, mouse RPE, and primary Müller cells from P7 pups were reverse transcribed to complementary cDNA and subjected to qRT-PCR with primers specific to IGF-1, IGFBP3, and IGF-1R. We normalized the expression to β-actin. Our results indicated that the expression of IGF-1 and IGFBP3 were significantly higher in RPE than in retina, rod photoreceptors, and Müller cells (Fig. 5M, N). The expression of IGF-1R was significantly higher in rod photoreceptor cells than in retina, RPE, and Müller cells (Fig. 5O). These observations suggest that IGF-1R in the rods may be activated by RPE-secreted IGF-1 through paracrine signaling.
Effect of loss of IGF-1R on phosphoinositides
A myo-inositol pool is utilized for phosphatidylinositol (PI) synthesis [34]. We found significantly decreased levels of myo-inositol in rodIgf-1r−/− mice compared with IGF-1R wild-type mice (Fig. 5P). The parent molecule PI undergoes phosphorylation, and the phosphorylated products are further phosphorylated and dephosphorylated by phosphoinositide kinases and phosphoinositide phosphatases. These reactions give rise to seven distinct phosphorylated phosphoinositides (PIPs). In the present study, we measured five PIPs: PI(3)P, PI(4)P, PI(3,4)P2, PI(4,5)P2, and PI(3,4,5)P3. Our results indicated a significant decrease in the levels of five PIPs in rodIgf-1r−/− mice compared with those in rods from wild-type mice (Fig. 5Q). In retIgf-1r−/− mouse retinas, we found significantly reduced levels of PI(3,4)P2 and PI(3,4,5)P3 compared with wild-type mice (Fig. 5R). The levels of PI(3)P and PI(4,5)P2 were also decreased in retIgf-1r−/− mice compared with wild-type mice. However, this difference was not statistically significant. These findings suggest that IGF-1R regulates phosphoinositide metabolism.
Altered retinal metabolism in rods lacking IGF-1R
We measured pyruvate kinase activity in rodIgf-1r−/− (Fig. 6A) and retIgf-1r−/− (Fig. 6B) mouse retinas. Our results indicated significantly increased pyruvate kinase activity in both rodIgf-1r−/− and retIgf-1r−/− mouse retinas compared with wild-type mouse retinas (Fig. 6A, B). These observations suggest that increased oxidative phosphorylation, not anabolic metabolism, might occur in rodIgf-1r−/− and retIgf-1r−/− mice. Consistent with the increased pyruvate kinase activity in rodIgf-1r−/− and retIgf-1r−/− mice, ATP levels in rodIgf-1r−/− (Fig. 6C) and retIgf-1r−/− (Fig. 6) mice were significantly higher than levels in wild-type mice.
To determine the effect of loss of IGF-1R on retinal metabolism, we measured steady-state levels of metabolites in IGF-1R floxed and rodIgf-1r−/− mouse retinas. Principal component analysis (PCA) of the samples based on 48 unique compounds demonstrated a clear separation between the tested groups (Fig. 6E). Our analysis indicated that several metabolites, including pyruvate, 3-hydroxybutyrate, glycine, fumarate, toluic aid, serine, carbamic acid, cyclamic acid, aspartic acid, GABA, lysine, fructose, ascorbate, palmitate, and stearate, were significantly increased in rodIgf-1r−/− mouse retinas compared with wild-type mouse retinas (Fig. 6F). The pathway analysis indicated impactful alterations in 1) Ala, Asp, Glu, 2) Pyruvate, and 3) Gly, Ser, and Thr metabolism, and possible alternations in 4) inositol phosphate metabolism (Fig. 6G). We performed a metabolite-metabolite interaction analysis using MetaboAnalyst 5.0 (https://www.metaboanalyst.ca/) to identify possible functional relationships between altered metabolites in rodIgf-1r−/− mouse retinas. Associations from the metabolites were extracted from the STITCH database [35]. The resulting network graph had 398 nodes and 765 edges identifying potentially altered metabolites from the 15 “seed” metabolites identified by our GC-MS analysis (Table S1). We then converted the network to a minimum spanning network to identify alterations in other metabolites that GC analysis did not reveal. The minimum network analysis of the analyzed steady-state metabolites and their interaction indicated that potential changes are centered on NADH (betweenness 14.9) (Fig. 6H, Table S2). Furthermore, the minimum network encompassed metabolites and highlighted potential metabolic changes in oxygen, ATP/ADP, and acetoacetyl-CoA.
We measured reduced and oxidized forms of pyridine nucleotides (NAD, NADH, NADP, and NADPH) in 2-month-old wild-type and rodIgf-1r−/− mice. Our results indicated that there was no significant difference in the levels of oxidized forms of pyridine nucleotides NAD and NADP in wild-type and rodIgf-1r−/− mice (Fig. 6I, J). However, the levels of the reduced form of pyridine nucleotides, NADH and NADPH, were significantly lower in rodIgf-1r−/− mice than in wild-type mice (Fig. 6I, J). The ratios of NADH/NAD (Fig. 6K) and NADPH/NADP (Fig. 6L) were significantly reduced in rodIgf-1r−/− mice compared with wild-type mice, suggesting that IGF-1R signaling regulates the cellular redox, which may further promote photoreceptor survival and function. These studies suggest that IGF-1R is involved in the regulation of retinal metabolism.
Fatty acid analysis and fatty acid oxidation in rodIgf-1r−/− mice
The fatty acid profile was determined from 2-month-old wild-type and rodIgf-1r−/− mouse retinas. We examined the relative levels of 14:0, 16:0, 16:1, 18:0, 18:1, 18:2n6, 20:0, 20:1, 20:5n3, 20:2n6, 20:3n6, 20:4n6, 22:00, 22:1, 22:4n6, 22:5n3, 22:6n3, 32:5n3, 32:6n3, 34:5n3, and 34:6n3 fatty acids. Our analysis showed significantly reduced levels of 18:2n6, 20:2n6, 20:3n6, and 22:4n6 fatty acids in rodIgf-1r−/− mouse retina compared with wild-type retina (Fig. 7A–C). The levels of 20:4n6 fatty acid were significantly increased in rodIgf-1r−/− mouse retina compared with wild-type retina (Fig. 7C). We also examined the expression of genes involved in fatty acid synthesis: ACC, PGC-1α, PGC-1β, C/EBPβ, FAS, PGC1, and SREBP-1c. Our results indicated significantly reduced levels of ACC, PGC-1α, and PGC-1β in rodIgf-1r−/− mice compared with wild-type mice (Fig. 7D). The fatty acid β-oxidation was significantly decreased in rodIgf-1r−/− mouse retinas compared with wild-type retinas (Fig. 7E). These observations suggest an altered fatty acid synthesis and β-oxidation in mouse retinas lacking IGF-1R.
Discussion
Earlier studies showed that IGF-1 receptors are expressed in the retina and outer and inner segments of the photoreceptors [31, 32]. Our data show that rod-specific deletion of IGF-1R resulted in rod degeneration, and the function gradually decreased with age. This functional loss was exacerbated in mice lacking IGF-1R in other retinal cells, including rod photoreceptor cells. Our studies also suggest that IGF-1R is indispensable for photoreceptor neuroprotection.
It is not known how the retinal IGF-1R is activated by which tissue-/cell-specific production of IGF-1. The liver is the main site for the production of IGF-1 [29]. Our study showed that loss of circulating IGF-1 does not affect the retinal function, suggesting that IGF-1 could be made in the retina. IGF-1 expression has also been observed in Müller glia [30]. We found that loss of IGF-1 in Müller cells does not affect retinal function. The inner photoreceptor matrix (IPM) situated between RPE and photoreceptor cells has previously been shown to have IGF-1 immunoreactivity [36] and also contains high levels of IGF-1 binding protein (IGFBP), which binds IGF-1 and regulates its availability [36]. Cultured human RPE cells have been shown to synthesize and release IGF-1, suggesting that the RPE may serve as a source of IPM-IGF-1 in vivo [36]. The presence of IGF-1 and IGFBP in the IPM, together with the presence of IGF-1 receptors on both photoreceptor and RPE cells [36], suggests the presence of an outer retina autocrine-paracrine system. Consistent with these earlier studies, in the present study, we found increased IGF-1, IGFBP3 protein expression in the RPE, and increased IGF-1R expression in the photoreceptor cells. Our finding on the higher expression of IGF-1R in photoreceptor cells is consistent with a previous study that showed IGF-1R expression is more than 100-fold higher than insulin receptors in photoreceptor cells [37]. Collectively, these findings suggest that RPE may provide the IGF-1 for photoreceptor IGF-1R activation.
IGF1 signaling is known to activate the PI3K pathway [8, 38]. Our studies on rodIgf-1r−/− mice showed decreased levels of myo-inositol, which is an important molecule in PI synthesis [34]. We observed significantly lower levels of PI(3)P, PI(3,4)P2, and PI(3,4,5)P3, suggesting IGF-1R regulates the PI-3 kinases. Interestingly, the reduced levels of PI(4)P and PI(4,5)P2 in both rodIgf-1r−/− and retIgf-1r−/− mice suggest that IGF-1R may regulate phosphatidylinositol 4-kinase (PI4K generates PI(4)P from PI), phosphatidylinositol 5-phosphate 4-kinase (PIP4K generates PI4,5P2 from PI(4)P), and phosphatidylinositol 4-phosphate 5-kinase (PIP5K generates PI (4,5)P2 from PI(5)P).
The ratios of NADH/NAD and NADPH/NADP are significantly altered in rodIgf-1r−/− mice, suggesting an altered cellular redox and antioxidative imbalance in these mice. Existing evidence suggests that pyridine nucleotides NAD (includes NAD + and NADH) and NADP (includes NADP+ and NADPH) are common biological mediators of several cellular processes, including regulation of cellular redox, antioxidant metabolism, generation of oxidative stress, energy metabolism, gene expression, cell death, mitochondrial function, aging, and calcium homeostasis [39]. NAD regulates mitochondrial function and energy metabolism, whereas NADPH regulates cellular antioxidant metabolism [39]. IGF1 has previously been shown to regulate the tumor form of pyruvate kinase M2, decrease pyruvate kinase activity, and increase AMP/ATP ratio [40]. The retinal cells and rod photoreceptors lacking IGF-1R exhibited increased pyruvate kinase activity and increased ATP production. These studies suggest that IGF-1R activation promotes cellular anabolism. The steady-state metabolite profile showed increased pyruvate levels along with an increase of several metabolites in rodIgf-1r−/− mice. We also observed significant alterations in alanine, aspartate, and glutamate metabolism; pyruvate metabolism; glycine, serine, and threonine metabolism; and a minor impact on inositol phosphate metabolism. It is interesting to note that the interaction of all of these metabolites is centered on NADH and identified potential changes in oxygen, ATP/ADP, and acetoacetyl CoA. The decreased NADH levels in the rodIgf-1r−/− mice resulted in the elevation of ATP and several other metabolites identified in the present study.
IGF-1 has been shown to stimulate de novo fatty acid biosynthesis in Schwann cells during myelination [41]. High-fat-diet-induced insulin resistance and glucose intolerance have been observed in gender-specific IGF-1R heterozygous mice [42]. In rodIgf-1r−/− mice, we found a significant decrease in the expression of fatty acid synthesis genes and decreased levels of some fatty acids. Photoreceptor cells are highly metabolic and glycolytic [43]. Studies also showed that the retina uses fatty acid β-oxidation for energy [44]. A shortage of lipids and glucose in the retina has been shown to promote neovascular age-related macular degeneration [45]. The rodIgf-1r−/− mouse retinas show significantly reduced β-oxidation. The steady-state metabolite analysis showed increased levels of β-hydroxybutyrate (β-HB) in rodIgf-1r−/− mice. The RPE metabolizes fatty acids to produce β-HB, which is transported to the retina and metabolized into various TCA cycle intermediates [44].
In summary, IGF-1R is essential for photoreceptors and retinal neuroprotection. Our findings suggest that IGF-1R maintains photoreceptor structure and function and regulates energy, lipid, and phosphoinositide metabolism. IGF-1 levels have been shown to decrease in the aging brain [46]. The role of IGF-1 in age-related retinal diseases is unknown. Activation of IGF-1R in retinal disease might prevent the loss of photoreceptors in aging.
Materials and methods
Antibodies
Polyclonal IGF-1R antibody, mouse monoclonal Cre antibody, and mouse glutamine synthetase antibodies suitable for immunohistochemistry were purchased from Abcam (Cambridge, MA). Rabbit polyclonal IGF-1R antibody was purchased from Protientech (Rosemount, IL). Rabbit polyclonal red/green cone opsin (M-opsin), cone arrestin, actin, and rabbit and mouse secondary antibodies were obtained from Millipore (Billerica, MA). Monoclonal 1D4 rhodopsin antibody was a kind gift from Dr. James F. McGinnis (University of Oklahoma Health Sciences Center). DAPI used for nuclear staining was procured from Invitrogen-Molecular Probes (Carlsbad, CA). The monoclonal anti-arrestin antibody was a kind gift from Dr. Paul Hargrave (University of Florida, Gainesville). Polyclonal glial fibrillary acidic protein (GFAP) was purchased from Dako (Carpinteria, CA).
Animals
Our study followed the NIH Guide for the Care and Use of Laboratory Animals and the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research. The Institutional Animal Care and Use Committee at the University of Oklahoma Health Sciences Center approved all protocols. The floxed IGF-1R (Stock No: 012251), floxed IGF-1 (Stock No: 016831), Chx10-EGFP/Cre (Stock No: 005105), transgenic glial high-affinity glutamate transporter (GLAST-CreER) (Stock No: 012586), and albumin-Cre (Stock No: 003574) were purchased from the Jackson Laboratory (Bar Harbor, ME). The generation and efficiency of rhodopsin-Cre (i75Cre) have been described earlier [26]. All mice were screened for rd1 and rd8 mutations and were negative for these mutations. The eyes or retinas were harvested after CO2 asphyxiation. For metabolic experiments, mouse retinas were harvested under deep anesthesia or retinas removed after decapitation. These tissues were subjected to biochemistry or immunohistochemistry. To eliminate bias, mice of the same sex, age, and genetic strain were randomly assigned to each experimental group. Litters were mixed to prevent litter bias. Once mice were genotyped and provided with unique eartag identifiers, cohorts were selected randomly by the principal investigator (Dr. Rajala), such that research personnel doing experiments were blinded and only knew the eartag number.
Immunohistochemistry and immunoblot analyses of retinas
Immunohistochemistry and immunoblot analysis were done as previously described [13]. In the current study, blots were incubated with IGF-1R (1:1000), cone arrestin (1:1000), transducin α (1:1000), rhodopsin (1:10,000), rod arrestin (1:1000), M-opsin (1:1000), and actin (1:1000) antibodies (see Table S3) overnight at 4 °C. The blots were then washed and incubated with HRP-coupled anti-mouse or anti-rabbit secondary antibodies (as appropriate) for 60 min at room temperature. After washing, blots were developed with enhanced SuperSignal™ West Dura Extended Duration Substrate (Thermo Fisher Scientific, Waltham, MA) and visualized using a Kodak Imager with chemiluminescence capability.
Isolation of polyribosomes containing actively translating mRNAs
Using a modified method from Cleuren et al. [47], we isolated polyribosomes containing actively translating mRNAs. Retinas from two mice (2-to-4 months old) were removed and placed in a DMEM medium containing cycloheximide (100 µg/mL) and incubated for 10 min. Then, the retinas were flash-frozen in liquid nitrogen and pulverized with a hand homogenizer. The powder was resuspended in 200 µl of polysome buffer (50 mM Tris-HCl [pH 7.5], 100 mM KCl, 12 mM MgCl2, 1% Igepal CA-630, 1 mM dithiothreitol, 200 U/mL RnaseOUT, 1 mg/mL heparin sodium salt, 100 µg/mL cycloheximide plus EDTA-free protease inhibitor cocktail in DEPC water), mixed by pipetting, and centrifuged at 15,000 RPM at 4 °C. The clear lysate was incubated with a purified rabbit monoclonal HA antibody (5 µl/200 µl lysate) for 1 h at 4 °C. Magnetic protein G beads, equilibrated in polysome buffer, were added to the retina lysate containing HA antibody. Beads were then incubated for an additional 30 min at 4 °C. The magnetic beads containing immune-complexes were washed three times with high salt buffer (50 mM Tris-HCl [pH 7.5], 300 mM KCl, 12 mM MgCl2, 1% Igepal CA-630, 1 mM dithiothreitol, 200 U/mL RnaseOUT, 1 mg/mL heparin sodium salt, 100 µg/mL cycloheximide plus EDTA-free protease inhibitor cocktail). To the beads, we added 500 µl of TRIzol and isolated RNA using a PureLink RNA Mini Kit (Ambion, Carlsbad, CA). First-strand cDNA was synthesized using Superscript III first-strand synthesis kit (Invitrogen).
Determination of myo-inositol and phosphoinositides from the retina
The myo-inositol concentration was determined as described previously [48]. The phosphoinositide extraction and the levels of PI(3)P, PI(4)P, PI(3,4)P2, PI(4,5)P2, and PI(3,4,5)P3 were determined as described previously [49]. Lipid phosphorous was determined as described and we normalized the phosphoinositide levels to phospholipid [49].
Lipid analysis
Fatty acid profiles were determined for the retina. Total lipids were extracted following the method of Bligh and Dyer [50], with modifications [51]. To each lipid extract were added 15:0 and 17:0 as internal standards. The lipid extracts were subjected to acid hydrolysis/methanolysis to generate fatty acid methyl esters (FAMEs) [52]. FAMEs were quantified using an Agilent Technologies 6890N gas chromatograph with a flame ionization detector (GC) [53]. The results were also confirmed by GC-MS.
Metabolic profiling
Metabolic profiling was performed based on a previously published method [54, 55] with specific (retina) modifications. Briefly, 4–8 mg of frozen retina tissue was pulverized using a tissue grinder Qiagen TissueLyser II containing pre-chilled metal beads, followed by methanol:chloroform: water (1:1:1) extraction. Ribitol, as an internal standard, was added to each sample at the first step of extraction. After 10 min incubation at 4 °C, samples were centrifuged at 20,000 rpm for 5 min, and 600 μL of supernatant was transferred to the new 2-mL tubes and completely dried in a vacuum concentrator for 4 h. Dried residues were derivatized in two steps. First, samples were dissolved in 25 μL of 20 mg/mL methoxyamine hydrochloride in pyridine for 2 h at 37 °C with constant orbital shaking. Second, 35 μL N,O-bis(trimethylsilyl)trifluoroacetamide was added, and the samples were mixed at 37 °C for 30 min. A mixture of alkanes (C10–C24) was used as a retention time standard. After derivatization, the samples were transferred into glass vials and 1 μL was injected into the GC–MS system (Agilent 7890B-5977A) in splitless mode. Each sample was analyzed in duplicate. The full scan from 60 to 600 m/z was performed. In addition to the tissue samples, three QCs were prepared by pooling an equal amount of each experimental sample, and analytical standards of pyruvate, lactate, glucose, fructose-6-phosphate, hydroxybutyrate, leucine, and isoleucine were prepared and analyzed. All chemicals were purchased from Sigma Aldrich (St. Louis, MO, USA), except pyridine and methoxyamine hydrochloride (Thermo Fisher Scientific, Waltham, MA, USA). Metabolites were annotated using the MassHunter software (Agilent) according to the National Institute of Standards and Technology (NIST, Gaithersburg, USA) library and external standards listed above. The relative abundance of metabolites was calculated by peak area normalized by exact sample weight and internal standard. PCA was performed using an online application (https://scienceinside.shinyapps.io/mvda/) based on R-project (https://scholar.google.com/scholar_lookup?title=R%3A%20A%20Language%20and%20Environment%20for%20Statistical%20Computing&publication_year=2017&author=Team%20RC) on Log-transformed data. Pathway analysis was performed using the MetaboAnalyst, v. 4 online tool (https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpbi.86).
Real-time qRT-PCR
Messenger RNA (mRNA) levels of ACC, PGC-1α, PGC-1β, C/EBPβ, FAS, SREBP-1c, rhodopsin, GFAP, RPE65, IGF-1, IGFBP3, and IGF-1R were analyzed by quantitative real-time RT-PCR (qPCR) using specific primer pairs (Table 1) using Primer3 software. All primer sets were designed from mRNA sequences spanning big introns to avoid amplification from possible genomic DNA contamination. The primer sequences were checked by a BLAST search to assure sequence specificity. RNA (TRIzol and Pure link RNA kit; Invitrogen) was isolated from two mice (pooled four retinas). The first-strand cDNA was synthesized using Superscript III first-strand synthesis kit (Invitrogen). The RT products were diluted 1:3, and 2 µl of each of the diluted RT products and 3 pmol of primers and Eva green supermix (Bio-Rad) were used for a final volume of 12 µl. The PCR was carried out on a CFX96TM Real-Time System and C1000 Touch Thermal Cycler (Bio-Rad). Fluorescence changes were monitored after each cycle (SYBR Green). Melting curve analysis was performed (0.5 °C/s increase from 55 to 95 °C with continuous fluorescence readings) at the end of 40 cycles to ensure that specific PCR products were obtained. Amplicon size and reaction specificity were confirmed by electrophoresis on a 2.0% agarose gel. All reactions were performed in triplicate. The average CT (threshold cycle) of fluorescence units was used for analysis. Each mRNA level was normalized by either the 18 S rRNA or by actin. Quantification was calculated using the CT of the target signal relative to the 18 S rRNA or actin signal in the same RNA sample. Effects were quantified and expressed by the x-fold change method calculated as: mean CQ (quantification cycle) gene − mean CQ housekeeping gene − dCQ and –fold = 2∧ − dCQ.
Table 1.
Gene | Forward primer | Reverse primer |
---|---|---|
Igf1 | AAAGCAGCCCCGCTCTATCC | CTTCTGAGTCTTGGGCATGTCA |
Igfbp3 | AAGCACCTACCTCCCCTCCCAA | TGCTGGGGACAACCTGGCTTTC |
Igf1r | GCTTCTGTGAACCCCGAGTATTT | TGGTGATCTTCTCTCGAGCTACCT |
Rhodopsin | CAAGAATCCACTGGGAGATGA | GTGTGTGGGGACAGGAGAACT |
Pde6α | TCCTTGGGAGCAGCTAAAGG | CCTTCCCCCGGTAGTGAAAG |
RPE65 | GTTCCCCTGCAGTGATCGTT | GCAACATGAAGCCAAACCCC |
GFAP | CAGCCTCAGGTTGGTTTCAT | CTCTCCTGTGCTGGCTACTGT |
ACC | GGACAGACTGATCGCAGAGAAAG | GCTGTTCCTCAGGCTCACAT |
PGC-1α | AAGCACTTCGGTCATCCCTG | TGAGTCTCGACACGGAGAGT |
PGC-1β | GACTTGCCAGAGCTTGACCT | GAAGAGCTCGGAGTCATGGG |
C/EBPβ | GCAAGAGCCGCGACAAG | GGCTCGGGCAGCTGCTT |
FAS | GCTGCGGAAACTTCAGGAAAT | AGAGACGTGTCACTCCTGGACTT |
SEEBP-1c | CTGGATTTGGCCCGGGGAGATTC | TGGAGCAGGTGGCGATGAGGTTC |
18S RNA | TTTGTTGGTTTTCGGAACTGA | CGTTTATGGTCGGAACTACGA |
β-actin | ACTGGGACGACATGGAGAAG | GGGGTGTTGAAGGTCTCAAA |
Pyruvate kinase enzyme assay
The lactate dehydrogenase (LDH) coupled enzyme assay was used to measure pyruvate kinase (PK) enzyme activity [56]. The assay was carried out in the presence of mouse retinal lysate containing an enzyme buffer mixture (50 mM Tris-HCl [pH 7.4], 100 mM KCl, 5 mM MgCl2, 1 mM ADP, 0.5 mM PEP, and 0.2 mM NADH [reduced form of NAD+]) and 8 U of LDH with a reaction volume of 1.0 ml. The PK activity was measured spectrophotometrically by monitoring the reduction in the absorbance at 340 nm from the oxidation of NADH.
Statistical analysis
We estimated the sample size by power analysis [57]. Data were subjected to appropriate statistical evaluation to determine significant changes using GraphPad Prism 7.3 software. We did not exclude any sample from the statistical analysis. We used several statistical methods depending on the type of the experiments. Before determining the statistical analysis, we performed a series of normality tests on the data (Anderson-Darling test, D’Agostino & Pearson test, Shapiro-Wilk test, Kolmogorov-Smirnov test) to determine whether the data were normally distributed in a Gaussian manner or not normally distributed. If the data were not normally distributed, we performed the unpaired non-parametric test to compare the two groups. We ran multiple Man Whitney U tests on the data. To correct for multiple comparisons, we controlled the false discovery rate by setting Q = 1% and used the two-stage step of the method of Benjamini Krieger Yekutieli. For the normally distributed data, we performed a parametric test to compare two groups. We ran Welch’s correction to determine statistical significance. The resulting p values were used to deduce significance. We also used one-way ANOVA to determine whether there were any statistically significant differences between the means of three or more independent (unrelated) groups. We used a two-way ANOVA to estimate how the mean of a quantitative variable changes according to the levels of two categorical variables.
Other methods
Electroretinography and optical coherence tomography were carried out as described [58]. Serum IGF-1 levels were measured using a kit from Abcam (ab108874) (Waltham, MA). Fatty acid β-oxidation (FAO) was measured using a kit from AssayGenie (Dublin, Ireland). The FAO activity assay is based on the oxidation of octanoyl-CoA, which is coupled to NADH-dependent reduction of INT to INT-formazan, and exhibits an absorption maximum at 492 nm [59]. NAD, NADH, NADP, and NADPH levels were measured as described [60]. ATP concentration was determined using an EnzyLight™ ATP Assay Kit from BioAssay Systems (Hayward, CA).
Supplementary information
Acknowledgements
The authors acknowledge the technical help of Mr. Austin McCauley. The authors thank Mr. Rahul Rajala (Oklahoma Medical Research Foundation) for his help in the network and pathway analysis of retinal metabolites. We thank Richard S. Brush for the analysis of fatty acids. The authors also acknowledge Ms. Kathy J. Kyler, Staff Editor, University of Oklahoma Health Sciences Center, for editing this manuscript.
Author contributions
RVSR designed the research. RVSR, AR, LP, MAB, and KT performed the research. RVSR, AR, KT, and LP analyzed the data. AB and TMG analyzed the retinal metabolites. RVSR interpreted the results. RVSR wrote the paper.
Funding
Grants from the National Institutes of Health (EY030024, EY00871, NEI Core grant EY12190, and NIH COBRE grant P30GM114731), the BrightFocus Foundation, Inc., Oklahoma Center for Adult Stem Cell Research, and an unrestricted grant from Research to Prevent Blindness, Inc. to the OUHSC Department of Ophthalmology supported this study.
Data availability
All data generated during or analyzed during this study are included in this published article and its Supplementary Information files.
Competing interests
The authors declare no competing interests.
Footnotes
Edited by Professor Alexei Verkhratsky
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41419-022-05074-3.
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Data Availability Statement
All data generated during or analyzed during this study are included in this published article and its Supplementary Information files.