Abstract
Ordered cellular architecture and high concentrations of stable crystallins are required for the lens to maintain transparency. Here we investigate the molecular mechanism of cataractogenesis of the CRYGC c.119-123dupGCGGC (p.Cys42AlafsX63) (CRYGC5bpdup) mutation. Lenses were extracted from wild type and transgenic mice carrying the CRYGC5bpdup minigene and RNA was isolated and converted into cDNA. Expression of genes in the unfolded protein response (UPR) pathways was estimated by qRT-PCR and RNA seq and pathway analysis was carried out using the Qiagen IPA website. Postnatal 3 weeks (P3W) Transgenic mice exhibited phenotypic diversity with a dimorphic population of severe and clear lenses. PCA of RNA seq data showed separate clustering of wild-type, clear CRYGC5bpdup, and severe CRYGC5bpdup lenses. Transgenic mice showed differential upregulation in Master regulator Grp78 (Hspa5) and downstream targets in the PERK-dependent UPR pathway including Atf4 and Chop (Ddit3), but not GADD34 (Ppp1r15a). Thus, high levels of CRYGC5bpdup transgene expression in severely affected lenses induces UPRer and UPRmt stress responses primarily through the PERK-dependent and Atf4/Atf5/Ddit3 pathways respectively, inducing autophagy and apoptosis and thence congenital nuclear cataracts. This effect is correlated to CRYGC5bpdup transgene expression, offering insight into cataract pathogenic pathways and recapitulating the variation in cataract severity in humans.
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Introduction
Cataract, or opacification, of the eye lens is the leading cause of blindness worldwide1 Cataracts can be subdivided by the age of onset into congenital or infantile (usually diagnosed in the first year of life), childhood (usually diagnosed in the first decade of life), presenile (occurring before approximately 45 years of life) and age-related or senile (occurring after age 45)2 Congenital cataracts tend to be caused by severe disruptions to lens development or homeostasis while age related cataracts result from milder insults to multiple genes interacting in concert with environmental stress2 Overall, congenital cataracts are responsible for about 3%-12% of childhood blindness3 and about 27%-39% of congenital cataracts are inherited. So far over 44 loci and 32 genes have been associated with congenital cataracts4 Overall, the most common pathways implicated in genetic congenital cataracts are crystallins (33%), growth factors and receptors (26%), connexins (18%), membrane proteins (11%), chaperones (4%), and intermediate filament proteins (4%)5 Thus, mutations in crystallin genes are a major cause of congenital cataracts.
Crystallins are the most abundant proteins in the human eye lens, contributing 90% of the total weight of the eye lens. The ubiquitous crystallins comprise three families. α-Crystallins are small heat shock proteins and have chaperonin properties, while β- and γ-crystallins belong to a superfamily related to bacterial spore coat proteins and spherulin 3A found in slime molds6 Of the three families α-, β-, and γ-crystallins contribute 28, 45, and 24% of the total crystallin protein, respectively7 Six types of γ-crystallins: γA- (CRYGA), γB- (CRYGB), γC- (CRYGC), γD-(CRYGD), γN- (CRYGN), and γS-crystallin (CRYGS) have been identified in humans. γA-, γB-, γC-, and γD-crystallins are encoded by tandem genes on chromosome 2q33.3 along with three γ-crystallin pseudogenes (CRYGEP, CRYGFP, and CRYGGP), while the γN-crystallin gene is located on chromosome 7q36.1 and the γS-crystallin gene is located on chromosome 3q27.3. Mutations in CRYGD and CRYGC cause 6 and 4% of genetic cataracts, respectively, while CRYGS is responsible for about 1% and CRYGA and CRYGB, which are expressed at lower levels in humans, cause about 0.25% each5 While mutations in γ-crystallins can cause a variety of various types of opacities, those in CRYGC and CRYGD cause predominantly nuclear opacities (81 and 73%, respectively), consistent with their high expression levels in the lens nuclear fibers5
Cataracts have classically been thought to occur from light scattering through formation of high molecular weight aggregates (HMW) in the lens fiber cell cytoplasm8,9 More recently an alternate pathogenic mechanism involving damage to lens cells with resultant degradation and disarray of the lens microarchitecture has been demonstrated2 This often involves induction of the unfolded protein response (UPR) with subsequent apoptosis10 This mechanism is most often seen with mutations that severely disrupt lens development and homeostasis, especially crystallin mutations that either denature the protein in a fashion that escapes binding by α-crystallin11,12 or are expressed at a high enough level that they simply overwhelm the available α-crystallin in the lens cell.
We have previously shown that autosomal dominant zonular cataracts with high intraocular variability are associated with a 5-base insertion in CRYGC and shown that expression of the mutant crystallin disrupts the lens microarchitecture, causing cataracts in transgenic mice13,14,15 In the present report we demonstrate that the molecular pathological mechanism behind cataractogenesis of the 5 base pair duplication in a human γC-crystallin14 gene mutation is through activation of the UPR and subsequent induction of autophagy and apoptosis. This involves activation of the PERK (EIF2AK3)) endoplasmic reticulum UPR pathway and the ATF4 mitochondrial UPR pathway, with the age of onset and severity of the cataracts as well as induction of the UPR, autophagy, and apoptosis being dependent on the levels of CRYGC5bpdup mRNA expressed in the mouse lens.
Results
The transgenic mice having the 5 base pair duplication human γC-crystallin (CRYGC5bpdup) transgene show phenotypic variability in their lenses at 3–6 weeks of age. In some mice both lenses are opaque, in some mice both lenses are clear and in some one lens is clear and the other shows a severe cataract, although even the severely affected lenses are not as badly damaged as lenses of mice transgenic for a c.215 + 1G > A splice mutation in the βA3/A1-crystallin gene (Fig. 1).ref16,17 As the cataract severity was essentially dimorphic, we grouped the lenses as ‘wild type’ (WT), ‘mutant severe lenses’ (MT-SEVERE) and ‘mutant clear lenses’ (MC) for the rest of the study. To investigate the cause of the phenotypic variability, we performed a qRT-PCR to quantify the human γC 5-bpd mRNA message and found that on average the mutant severe lenses show over a two-fold increase of 5bpdupCRYGC mRNA compared to the mutant clear lenses (Fig. 2A).The origin of the differential expression is unclear, as it is not inherited in a Mendelian fashion, and both phenotypes can appear in different eyes of the same mouse.
RT-PCR analysis of mRNA levels in wild type (WT) clear mutant (MT-Clear), and severe mutant (MT-Severe) lenses and comparison to RNASeq results. (A). qRT-PCR analysis of CRYGC5bpdup transcript. (B). RT-PCR analysis of Xbp1: WT wild-type lenses, MT mutant lenses, NC negative control, PC positive control (cells treated with tunicamycin, RNA isolated, converted into cDNA and amplified with respective primers covering both the open reading frames of Xbp1). Expression of 5bpdup message in transgenic mice doesn’t alter Xbp1 splicing. C. qRT-PCR analysis of selected mRNAs in UPR/autophagy/apoptosis pathways. For qRT-PCR: wild-type (black) lenses (WT), mutant clear (green) lenses (MT-Clear) and mutant severe (brown) opacification lenses (MT-severe), n = 4.
RNASeq analysis of wild type, clear CRYGC5bpdup, and severe CRYGC5bpdup lenses
In order to identify the molecular events downstream of CRYGC5bpdup transgene expression RNASeq analysis was carried out on pooled lenses from wild type, clear CRYGC5bpdup, and severe CRYGC5bpdup lenses, even though in some cases clear and severe CRYGC5bpdup lenses came from the same mouse. Transcripts from total of 15,874 genes were identified (Fig. 3A, Table S1), of which expression of 189 genes was increased two-fold between MT-Severe and WT only, 259 genes were increased twofold in both MT-Severe and MT-Clear vs. WT, 72 genes were increased two-fold in MT-Severe vs. MT-Clear only, 47 genes were increased in MT-Clear vs. WT only, 17 genes were increased in MT-Severe and MT-Clear vs. WT but not between MT-Severe and MT-Clear, and 3 genes were increased in MT-Clear vs. WT, MT-Severe vs. WT, and MT-Severe vs. MT-Clear (Fig. 3B). Conversely, expression of 297 genes was decreased two-fold between MT-Severe and WT only, 159 genes were decreased twofold in both MT-Severe and MT-Clear vs. WT, 79 genes were decreased two-fold in MT-Severe vs. MT-Clear only, 33 genes were decreased in MT-Clear vs. WT only, 77 genes were decreased in MT-Severe vs. WT but not between MT-Severe and MT-Clear or WT and MT-Clear, and 26 genes were decreased in MT-Clear vs. WT, MT-Severe vs. WT, and MT-Severe vs. MT-Clear (Fig. 3B). Thus, there was a much greater alteration of gene expression in the severe than clear mutant lenses, both in terms of up- and down-regulation. Expression changes for a subset of UPR constituents including Hspa5, Ddit3, Hsp90b1, Trib3, Pdia4, Atf4, and Dnajc3 were confirmed by qRT-PCR, with the results for Pdia4, hsp90b1, and Dnajc3 showing greater induction than that measured by RNASeq (Fig. 2C).
Overview of RNASeq results for wild type clear (WTC), CRYGC5bpdup mutant clear (MutC), and CRYGC5bpdup mutant (MutS) lenses. (A). Volcano plot showing differentially expressed genes between WTC, MutC, and MutS lenses (log2Fold Change > 0.4 or < − 0.4 and adjusted p < 0.05). (B). Venn diagram showing two-fold differentially expressed gens among WT, MT-Clear (MC), and MT-Severe (MS) lenses. (C). Comparison of the 50 most altered IPA canonical pathways in the WT, MT-Clear (MC), and MT-Severe (MS) mouse lenses and their activation status as reflected in the Z-score for that pathway.
Pathway analysis of wild type, clear CRYGC5bpdup, and severe CRYGC5bpdup lenses
The top 50 pathways showing differential expression are shown in Fig. 3C and the full list of altered activity of the IPA canonical pathways is shown in Table S2 with the corresponding Z values. The level of changed expression between WT and MT-Clear lenses is overall much less pronounced than that between WT and MT-Severe lenses, and even between MT-Severe and MT-Clear lenses. In addition, the pathways showing decreased activity in MT-Severe lenses tend to be housekeeping or synthetic in nature, e.g., extracellular matrix organization, collagen synthesis and modifying enzymes, cell junction organization, glycolysis, and epithelial adherens junction signaling. In contrast, pathways showing increased activity in MT-Severe lenses tend to relate to mRNA processing, histone modification, RNA transcription, autophagy, cell death signaling, TP53, MAPK, and ATF6 signaling, ubiquitination and de-ubiquitination, neddylation, sumoylation, ESR-mediated signaling, the UPR, microautophagy, and cell cycle regulation.
Changes in pathways related to the UPR, autophagy, apoptosis and related activities confirms the trend shown by the top 50 pathways and extends activation to include endoplasmic reticulum stress pathways, Eif2ak1 pathways, Nrf2 mediated oxidative stress response, macroautophagy, Foxo mediated cell death pathways, Myc mediated apoptosis signaling, and Atf4 pathways in response to ER stress (Fig. 4A). One interesting anomaly is that apoptosis signaling activity is increased in the MT-Clear vs. WT comparison but decreased in MT-Severe lenses compared to both WT and MT-Clear lenses. Similarly, the apoptosis execution phase activity is decreased in MT-Clear lenses compared to WT and in MT-Severe lenses compared to both WT and MT-Clear lenses, and regulation of apoptosis is decreased in MT-Clear vs. WT lenses and shows little change in MT-Severe lens comparisons. In contrast, other apoptotic pathways such as induction of apoptosis by HIV1, the intrinsic pathway for apoptosis, and MYC mediated apoptosis signaling all show increased activity in MT-Clear vs. WT and in MT-Severe vs. both WT and MT-Clear lenses. An explanation for the mixed activation signals in many of the pathways is seen in Fig. 4B, which shows the percentage and number of genes whose expression is altered in each pathway, and whether their levels are increased or decreased. While a large majority of the genes in some pathways, such as Atf4 activation of genes in response to ER stress, sumoylation of transcription factors, and Atf6 activation of chaperone genes, are activated, others are more evenly balanced, with up to half of the component genes being downregulated. However, the graphical summary of pathway activation in MT-Severe vs. WT lenses shown in Fig. 4C emphasizes that major regulators of the overall lens cell response to CRYGC5bpdup transgene expression include Mapk1, Epha2, Egf, and Ddit3, and the major consequences mostly relate to autophagy and cell death.
Comparison of UPR related canonical pathways in wild type clear (WC), CRYGC5bpdup mutant clear (MC) and CRYGC5bpdup mutant severe (MS) lenses. Genes upregulated two-fold are analyzed. (A). IPA canonical pathways related to the UPR, autophagy, and apoptosis. (B). Number of genes in UPR related pathways and the percentage upregulated (red), downregulated (green), unchanged (grey), and not included in the dataset (clear). (C). Graphical summary of pathway activation in CRYGC5bpdup mutant severe (MS) compared to wild type clear (WC) lenses. Upstream control molecules are shown at the top of the figure, cellular processes in the middle, and endpoints at the bottom.
Activation of the endoplasmic reticulum unfolded protein response
In MT-Severe lenses there is an approximately fourfold induction of Hspa5 (Bip, Grp78) associated with increases in Eif2ak3 (Perk) and Atf6, but not Ern1 (Ire1), (Fig. 5A). Eif2ak3 phosphorylates Eif2a, and Eif2a is also increased, as are levels of Atf4 mRNA, resulting in increased transcription of Hspa5 itself, as well as calreticulin, Hsp90b1, and especially Ddit3 (Chop), but not calnexin. Interestingly, both Ppp1r15a (Gadd34) and Dnajc3 (p58) expression are decreased, reducing their negative feedback on Eif2ak3 and Eif2a. As expected with increased Ddit3 (Chop), Bcl2 levels are decreased. Nfe2l2 is also increased by Eif2ak3 (Perk) and activates transcription of genes with antioxidant response elements in their promoters to increase cell survival.
Activation of genes expressed in the UPR. (A). Expression changes of genes in the UPRer pathway with the location within the cell indicated. (B). Expression changes of genes in the UPRmt pathway. Expression levels are indicated by the shading of genes: increased expression is indicated by red shading, decreased expression is indicated by green shading, and genes whose expression changes less than 1.2-fold are shaded grey. The depth of shading is proportional to the fold change in expression. Processes predicted to be increased are shaded yellow.
Expression of Ern1 (Ire1), mediator of the second pathway of the UPRer system, is decreased, as is its proximal mediator and endolytic target Xbp1. In addition, there is no increase in Xbp1 cleavage (Fig. 2B), which is required for translation of the functional transcription factor. Despite decreased Ern1 mRNA levels Traf2, which is required for activation of the Mapk8/Jnk and NF-kappaB pathway, is mildly increased, as are Map2k7 and Mapk8 (Jnk), but not the intermediate member of the pathway Map3k5. Overall, activation of this pathway should lead to increased apoptosis.
Atf6, the third mediator of the UPRer pathways, is also increased. The Atf6 protein is cleaved for release from the ER membrane to undergo translation to the nucleus, where it activates the transcription of genes with ER stress response elements (ERSEs) in their promotors, primarily chaperones for ER proteins, but also Hspa5. Separately, synoviolin 1 (Syvn1), part of the ERAD system, is increased as are the holdase chaperonin Hsph1 and Cd82. Conversely its binding partner Sel1l is decreased as are Ubxn4, an integral ER membrane protein and Vcp, which it binds, as is Amfr, all of which should theoretically decrease protein degradation.
Activation of the mitochondrial unfolded protein response (UPRmt)
As the UPRmt can be induced by a variety of conditions that threaten mitochondrial stability including damage to the electron transport chain, accumulation of unfolded proteins, deletion or mutation of mtDNA, inhibition of mitochondrial chaperones or proteases, and increased levels of reactive oxygen species (ROS), it is not surprising that mRNAs encoding various components of this pathway are induced by expression of the CRYGC5bpdup transgene (Fig. 5B). While neither Akt1 nor Sirt3 mRNAs are increased nor is Esr1, their downstream effectors, including Nrf1, which regulates mitochondrial DNA transcription and replication, and Foxo3, which can induce cell death genes to bring about apoptosis as well as antioxidants, show slight increases. However, their targets, including Htra2, catalase, and superoxide dismutase are neutral or decreased. However, the greatest activation of this pathway is seen in the Atf5/Atf4/Ddit3 pathway, which interacts with Cebpb to induce synthesis of chaperones, including Hspd1, hspa9, and hspe1, and proteases including Clpp and Yme1l1 to relieve the stress of unfolded proteins on the mitochondrion.
Other signaling pathways active in CRYGC5bpdup lenses
The most highly activated control pathways in MT-Severe relative to WT lenses include the signaling pathways of Tp53 and Atf6 (Figs. 5 A and B). Tp53 can be induced by a wide variety of cell stresses, being linked to the UPRer through Mapk8 among others. Tp53 is also linked downstream to cell cycle arrest through Cdkn1a, Ccng1, and Rprm, which are all also increased (Fig. 6). It is linked to apoptosis by Dr4/5 (Tnfrsf10a/b), Pido1, Bax, Apaf1, which activates the caspase cascade, Tp53inp1, which is also linked to autophagy, and Bbc3, which activates apoptosis by permeabilizing the mitochondrial membrane and activate caspases. Finally, it is also linked to autophagy by Dram1. In addition, downregulation of Bcl2 and Birc5, and Tigar decrease cell survival and glycolytic pathways, respectively.
Activation of genes in signaling pathways mediating the UPR influences on autophagy and apoptosis: p53 Signaling pathways. Expression levels are indicated by the shading of genes: increased expression is indicated by red shading, decreased expression is indicated by green shading, and genes whose expression changes less than 1.2-fold are shaded grey. The depth of shading is proportional to the fold change in expression. Processes predicted to be increased are shaded yellow.
A second control pathway that is highly activated is Atf6 induction of chaperone genes (Fig. 4A, B). In concert with Nf-γ and Atf4, Atf6 induces Ddit3 and also Hspa5, through which it is linked to the UPRer (Fig. 7). It directly induces calreticulin, which plays an important role in protein folding and calcium homeostasis in the endoplasmic reticulum and also directly induces expression of the ER chaperone Hsp90b1.
Activation of genes in signaling pathways mediating the UPR influences on autophagy and apoptosis: Atf6 signaling pathways. Expression levels are indicated by the shading of genes: increased expression is indicated by red shading, decreased expression is indicated by green shading, and genes whose expression changes less than 1.2-fold are shaded grey. The depth of shading is proportional to the fold change in expression. Processes predicted to be increased are shaded yellow.
Downstream pathways leading to autophagy and apoptosis
Autophagy pathways are connected to both UPRer and UPRmt through Tp53, Foxo3, Atf4, and Ddit3 (Chop), levels of all of which are elevated in MT-Severe relative to WT lenses (Fig. 8). Tp53 induces Bad, a member of the BCL2 family of regulators of programmed cell death and Pten, a tyrosine phosphatase with a preference for phosphoinositide substrates. Foxo3 elevates levels of a number of autophagy related genes including Atg4b and Atg12, while levels of other downstream mediators of Foxo3 including Gabarapl1 (Atg8), and Pik3c3 are decreased. Atf4 increases ATG5, along with the transcription factor Tfeb, a positive regulator of autophagy that also leads to increased sequestosome, which binds ubiquitin and regulates activation of the Nf-κb signaling pathway. The increased autophagy components lead to increased nucleation of autophagosomes, but mixed effects on proteins involved in assembly and lysosomal fusion, explaining the low Z scores of the autophagosome execution phase pathway seen in Fig. 4A.
Autophagy and Apoptosis pathways downstream from the UPR: Pathways for autophagy. Expression levels are indicated by the shading of genes: increased expression is indicated by red shading, decreased expression is indicated by green shading, and genes whose expression changes less than 1.2-fold are shaded grey. The depth of shading is proportional to the fold change in expression. Processes predicted to be increased are shaded yellow.
The main link of the upstream pathways to the apoptosis system is also through Tp53, which increases levels of Bbc3, a Bh3 subclass Bcl2 family member of pro-apoptotic proteins that can cooperate with direct activator proteins to induce mitochondrial outer membrane permeabilization and apoptosis (Fig. 9). Tp53 also induces expression of Bax, another member of the Bcl2 family that forms dimers with Bcl2 to function as an initiator of apoptosis by opening of, the mitochondrial voltage-dependent anion channel (Vdac), leading to loss of mitochondrial membrane potential and release of cytochrome c. Also increased are levels of Diablo, a mitochondrial protein that enters the cytosol when cells undergo apoptosis and allows activation of caspases 3 and 7 by binding to the X-linked inhibitor of apoptosis Xiap, levels of which are decreased in MT-Severe relative to WT lenses. Levels of APAF1 are also increased, and this protein exchanges ADP for ATP and binds cytochrome c to form an apoptosome that can activate caspase 9 and thence contribute to the caspase cascade resulting in apoptosis.
Autophagy and Apoptosis pathways downstream from the UPR: Pathways for apoptosis. Expression levels are indicated by the shading of genes: increased expression is indicated by red shading, decreased expression is indicated by green shading, and genes whose expression changes less than 1.2-fold are shaded grey. The depth of shading is proportional to the fold change in expression. Processes predicted to be increased are shaded yellow.
Discussion
Mice transgenic for a c.119-123dupGCGGC (p.Cys42AlafsX63, CRYGC5bpdup) CRYGC construct driven by the chicken βB1-crystallin promoter (CRYGC5bpdup) develop cataracts with variable age of onset and severity, mimicking the presentation of the CRYGC5bpdup mutation in humans14,15 Here, we demonstrate that the severity of the cataracts in CRYGC5bpdup transgenic mice is correlated with expression levels of the transgene. The physical cause of the lens opacity results from disarray and destruction of the lens microarchitecture accompanied by cell death of the lens fiber cells beginning primarily in the bow region of the lens as high levels of βγ-crystallins are synthesized. While the βA3-crystallin promoter does not precisely recapitulate the expression pattern as that of γC-crystallin, they are similarly fiber preferred and should provide a similar pattern for the CRYGC5bpdup mutant mRNA expression18.
The histological appearance of MT-Severe lenses is similar to that of lenses from mice transgenic for the c.215 + 1G > A (p.Ile33_Ala119del) splice mutation in the βA3/A1-crystallin gene, but perhaps slightly less severe17 Similarly, while both cataract models show activation of the UPR and subsequent apoptotic pathways, this is much more marked in the CRYBA1 splice mutation model, which has essentially all three UPRer pathways including Xbp1 splicing activated, than the CRYGC5bpdup model, in which some pathways appear to be selectively activated relative to others, and some, such as Xbp1 expression and splicing, even appear depressed. In addition, while the normal program of karyolysis during lens fiber development19 appears to be intact in the CRYGC5bpdup lenses there appears to be retention of nuclei in the central nuclear fiber cells in the CRYBA1splice lenses, even though a positive TUNEL assay suggests that apoptosis or at least DNA fragmentation, is in progress in these nuclei17.
The role of α-crystallins and other chaperones in solubilizing denatured proteins and thus preventing the formation of large aggregates that scatter light is well-described20,21,22 However, only more recently has it been appreciated that cataracts may also be caused by disruption of the lens microarchitecture, which is critically important for transparency, and further, that this disruption is often related to induction of the UPR, increased autophagy of damaged proteins, and if the stress is severe, apoptosis2,4 Almost all of the related pathways are elevated in lenses expressing high levels of the CRYGC5bpdup mRNA, with the exception of the apoptotic execution phase, apoptosis signaling, cellular response to heat stress and chaperone mediated autophagy. However, within these broader pathways only some control systems are activated throughout.
The CRYGC and CRYBA1 transgenic models are not the only examples of the UPR and/or apoptosis being involved in cataractogenesis, although some of the examples only identify partial or inconsistent activation of these processes. CRYBA117 CRYGC15 and CHMP4B23 transgenic mouse cataract models have demonstrated that damage and distortion of lens fiber cells related to the UPR and apoptosis can cause cataracts. In addition, the UPR has been implicated in a number of model systems for cataract, including selenite cataracts in rat lenses24 sugar cataracts in galactosemic rat lenses25 and transgenic expression of abnormal collagen IV26 mutant connexin 5027 and αA- and αB-crystallins28 in transgenic mice. In human high myopic lens cataracts Yang et al. found that α-crystallins are downregulated and this is associated with increased levels of a number of key elements of the UPR pathways29 Interestingly, the same investigators found that different pathways of the UPR are activated in congenital, age-related, and myopic cataracts30 Finally, oxidative stress may induce the UPR in lens cells, especially when it overcomes the strong antioxidant defense systems of the lens and the counterbalancing pathways induced by NRF231,32.
In CRYGC5bpdup mice the UPRer Hspa5 (Bip, Grp78) is highly activated, but of the three subsequent pathways, only Eif2ak3 and ATF6 show increased mRNA levels, while Ern1 (Ire1) mRNA levels are actually decreased. While the mRNA levels do not necessarily reflect release of the corresponding protein as Hspa5 binds high levels of unfolded proteins in the ER lumen or phosphorylation of Ern133 the lack of altered splicing of Xbp1 and decrease in Xbp1 mRNA levels strongly suggest that this pathway is not activated. Map2k7 and Mapk8 mRNAs are both mildly increased, but decreased Map3k5 levels suggest that this pathway is only mildly activated, if at all. Conversely, Eif2ak3 (Perk) mRNA is elevated, as are its downstream effectors strongly suggesting that Eif2ak3 is released from Hspa5 and auto-phosphorylates itself and then phosphorylates Eif2a. As Eif2a regulates the initial step of translation it can inhibit general translation to relieve ER stress while enhancing translation of stress-related mRNAs as well as binding to the 5’ untranslated region of Atf4, which translocates to the nucleus to increase transcription of chaperones and UPR target genes including calreticulin, Hsp90b1, Hspa5 (Grp78), and Ddit3 (Chop) (Fig. 5A). In this regard, it should be noted that among the early responding proteins to denatured proteins in the lens are αA-crystallin (Cryaa, Hspb4) and αB-crystallin (Cryab, Hspb5) and other heat shock proteins including Hspb1, although in wild type lenses the latter is expressed at 0.4% and 2.4% of the levels of Cryaa and Cryab, respectively. This is because of the additional role of the crystallins as structural lens proteins requires a constitutive high expression in all sections of the lens18 so that their transcriptional regulation is unique to the lens34 However in the MUT-Severe lenses expression of all 3 of these chaperones decreases to about 60% of that in WT or MUT-Clear lenses (Fig. S2), an effect also seen in severe acute pancreatitis35 chronic allograft nephropathy36 and diabetic retinopathy37.
After being induced by Atf4, Hspa5 then increases activation of the UPRer, while Ddit3 inhibits expression of the antiapoptotic Bcl2, thus inducing apoptosis. Atf6 mRNA is increased in MT-Severe lenses, and after proteolytic processing in the Golgi the activated transcription factor decreases Ern1 and Xbp1 levels as well as Xbp1 splicing, thus inhibiting the UPRer, while increasing Hspa5 mRNA levels38 Thus, it appears that of the 3 UPRer pathways, the pro-apoptotic Eif2ak3 pathway is highly activated, the relatively anti-apoptotic Atf6 pathway is mildly elevated, and the pro-apoptotic Ern1 pathway is mostly inhibited with some increase in the Mapk8 (Jnk) pathway. Interestingly, Yang et al. found that while mRNA levels of HSPA5, ATF4, spliced XBP1, ATF6 and protein levels of EIF2A, ERN1, and ATF6 were increased in both high myopia and mixed age related cataract lenses, neither protein nor mRNA levels of ATF6 were elevated in mixed congenital cataract lenses, so that the Eif2ak3 pathway is elevated in both human congenital cataracts in the CRYGC5bpdup mouse model30 They did not examine elements of the UPRmt or downstream effectors in their study.
Although crystallins exist as soluble cytosolic proteins, approximately 35% of crystallin synthesis occurs on ER bound ribosomes so that the presence of large amounts of unfolded γC-crystallin might be expected to induce the UPRer39 Elevation of Ddit3 as part of the Eif2ak3 pathway also induces the UPRmt as part of the Atf4 pathway40 However, induction of the UPRmt probably also occurs indirectly secondary to cellular stress induced by large amounts of denatured CRYGC5bpdup leading to an oxidative environment in the mitochondria and causing accumulation of misfolded proteins there41 As in the UPRer, one of the pathways in the UPRmt pathway, the canonical Atf4/Cebpb pathway, is activated so that Atf4, Atf5, and Ddit3 mRNAs are all increased, while Akt1 and Sirt3 mRNA levels are unchanged. Atf4, Atf5, Ddit3, and Cebpb act in the nucleus to increase transcription of a variety of chaperones and proteases that then act in the mitochondrion42 In MT-Severe lenses only a single downstream chaperone, Hspa9, but two proteases, Yme1l1 and Lonp1, are increased. Although Nrf1 in the Akt1 pathway and Foxo3 in the Sirt3 pathway are increased, their upstream regulators in the UPRmt show little change, and Akt1 even shows a tendency towards decreasing. This might not fully reflect their functional activities, as Sirt3 is activated in the mitochondria through cleavage by Pmpcb, which would not necessarily be reflected in mRNA levels43 Similarly, Foxo3 is primarily activated through deacetylation by Sirt3, which also might not be reflected in its mRNA levels, although these are somewhat increased. However, Foxo3 induces Sod2, which is not elevated in MT-Severe lenses, and catalase, which is significantly decreased, suggesting that this protective arm of the UPRmt is not active or has been overcome. The role of Nrf1 in the UPR is complex, but it is induced by Akt1 acting through Esr1, and the Nrf1 protein is released from the ER and proteolytically processed before translocating to the nucleus, where it is required for induction of most elements of the UPRmt including Atf4, Atf5, Ddit3, and the chaperones Hspa9 and Hspd142,44 Nrf1 also induces Htra2 expression along with other proteasome members in order to clear denatured proteins from the intermembrane space of the mitochondria, but Htra2 levels are also decreased, consistent with progression of the UPRmt from a restorative process towards autophagy and apoptosis.
As mentioned above, the UPR initially stabilizes the ER and mitochondria through increasing production of chaperones and reducing agents, increasing degradation of misfolded proteins through autophagy, and reducing general protein synthesis in favor of stress related proteins. However, under prolonged and severe stress the UPR alters to induce apoptosis. One way in which this occurs is through a change in Eif2ak3 induced alternate splicing of P53 to produce P53/47, an variant lacking the initial 39 amino acids of the full length P53 and producing cell cycle arrest in G2 rather than G145 P53/47 also activates a number of apoptotic target genes by inhibiting both the transcription and translation of Hspa5 and freeing Bik from Hspa5 binding46 P53/47 has been reported to induce Bax and Bik along with other apoptotic effectors including Fas, Tnfrsf10b, Birc2, and Tp53ip47,48 Of these, Tnfrsf10b and Birc2 are increased significantly in MT-Severe lenses, While none are increased in MT-Clear lenses, suggesting that apoptosis has not fully been induced in this group yet. However, P53/47 P53 is not expressed in the lens, either in the WT, MT-Clear, or MT-Severe mice, although there is a shift in splicing with relatively more increase in the Trp53-202 and 206 isoforms as shown in Fig. S1. These still account for only a minor fraction of the total Trp53 mRNA and the increase in Trp53 activity appears to result from the overall increase in Trp53 mRNA levels.
Another mediator of apoptosis downstream of Tp53 is Bbc3, which is dramatically elevated in MT-Severe lenses, but only slightly in MT-Clear lenses (Fig. 9, Table S1)49,50 Bbc3 induces apoptosis through interactions with Bax and Bak, while Bad, which is also increased slightly in MT-Severe but not MT-Clear lenses, acts in a permissive fashion by binding the anti-apoptotic factor Bcl251 In a somewhat similar fashion, IAPs normally bind to caspases and inhibit their activity, thus preventing cell death52 Diablo, which is slightly increased in MT-Severe lenses, binds to IAP proteins, allowing Caspase 3 activation and hence apoptosis. In addition, the increased levels of APAF1 in MT-Severe lenses lead to apoptosome formation upon binding with cytochrome c and dATP, and thence activation of Caspase 9 and autophagy53.
Overall, cataracts in the CRYGC5bpdup mouse model recapitulate those in human patients in their appearance and intralenticular location, in their variable severity among family members with the identical mutation and even between eyes in the same individual, and in the time course of cataractogenesis, which can include an apparent latent period with clear lenses followed by a relatively rapid progression to a total cataract. These similarities suggest that the pathological mechanism of the cataracts in mice might also be similar to those in humans with the corresponding mutation. The strong correlation between levels of CRYGC5bpdup mRNA and the lens phenotype suggests that this might be the main driver of the cataractogenesis. That differing lens phenotypes can occur in the two lenses of the same mouse argues against, but does not absolutely exclude, positional insertion effects or modifying genes as a cause. Although we currently do not have a good theory to explain the variability in CRYG5bpdup mRNA levels or phenotype, some sort of stochastic process during lens development seems likely based on the available data.
While cataracts in the CRYGC5bpdup mouse model are not the first described as occurring through the UPR, autophagy, and apoptotic pathways, they are currently among the best described models with individual pathways and pathogenic mechanisms delineated in detail. The broad mechanism that this model suggests includes induction of the UPRer by large quantities of misfolded 5bpdup γC-crystallin and the UPRmt, perhaps secondarily, with initial induction of chaperones and proteases, most obvious in the MT-Clear lenses, followed in the MT-Severe lenses by a shift towards apoptotic pathways as the lens cell environment deteriorates in the face of the initial UPR response. This model supports and expands evidence for the UPR in congenital cataractogenesis and clarifies the specific sub-pathways and their roles in this process.
Material and methods
Generation of transgenic mice
All procedures with the mice were in accordance with the National Institutes of Health guideline on the care and use of animal in research as approved by the National Eye Institute Animal Care and Use Committee, ASP Number: NEI-576) and the ARVO statement for the use of animals in ophthalmic and vision research as well as the ARRIVE essential 10 guidlines. Transgenic mice were generated as described earlier15 Briefly constructs were made in PCBB1, which consists of the first 468 bp of the chicken βB1-crystalllin promoter followed by the c.119-123dupGCGGC CRYGC cDNA or wild type (WT) CRYGC DNA and then the final human βA3/A1-crystallin gene splice site, which includes the last 1055 bp of exon5, intron5, and exon6 including the polyadenylation signal. Target fragments were generated by PmeI digestion, purified, and injected to pronuclear stage inbred FVB/N embryos54.
Lens extraction
Mice under the age of 7 days with an estimated weight of 5 g (Jackson Laboratory, Body Weight Information for B6 (000664), https://www.jax.org/jax-mice-and-services/strain-data-sheet-pages/body-weight-chart-000664# , accessed 9/11/2024) were sacrificed by cervical dislocation and older mice were sacrificed by carbon dioxide euthanasia. Then, w hile the eye globe was held with forceps, a small incision was made at irido-corneal region with a fine forceps and the lens was extracted from the through the incision, placed on dry ice and stored at -80 °C. A piece of tail was also collected for genotyping and DNA was extracted using DNA isolation kit (DNeasy Blood & Tissue Kit; Qiagen, Valencia, CA). PCR based genotyping was carried out using a set of primers flanking the βB1-crystallin promoter and transgene specific region (Table S3).
RNA isolation, cDNA synthesis and qRT-PCR
Total RNA was isolated using an RNA isolation kit (The RNeasy Plus Mini Kit; Qiagen, Valencia, CA) and quantified using a spectrophotometer (Nanodrop 2000C; ThermoFisher). A first strand cDNA was synthesized from approximately 0.5 μg of total RNA by cDNA synthesis kit (Super III first strand synthesis for RT PCR kit; Invitrogen) according to the manufacturers protocol. qRT-PCR was performed using Applied Biosystems ViiA7 Real Time PCR system with the following amplification conditions: an initial incubation of the samples at 50 °C for 2 min and denaturation at 95 °C 15 min followed by 40 cycles of denaturation, annealing and extension at 95 °C 15 s, 60 °C 30 s and 72 °C 30 s. Gapdh was used as an endogenous control for normalizing the target mRNA. Relative expression of each target gene was calculated using 2^(∆∆Ct) method. The primers were standardized, and efficiencies were tested before performing qRT-PCR. Primers used for the genotyping PCR and qRT-PCR are listed in Table S3.
RNA-Seq
About 200 ng of RNA samples were used for RNA seq. analysis. Total RNA samples were purified from the lenses of 3-week-old wild-type and KO mice (n = 3) using a Qiagen kit. After passing quality control criteria, RNA-sequencing was carried out using an Illumina NovaSeq platform utilizing a paired-end 150 bp sequencing strategy (Novogene Corporation Inc., Sacramento, CA, USA). Analysis was performed using Partek Flow (https://partekflow.cit.nih.gov/flow) on the NIH Biowulf supercomputing cluster.
IPA analysis
The networks and, functional analyses were generated through the use of QIAGEN Ingenuity Pathway Analysis (https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/ )55 accessed on 8/19/2024. A data set containing gene identifiers and rpkm values was uploaded into the application. Each identifier was mapped to its corresponding entity in QIAGEN's Knowledge Base. For pathway identification an expression ratio cutoff of 2 × was set to indicate molecules whose expression was significantly perturbed. These molecules, called Network Eligible molecules, were overlaid onto a global molecular network developed from information contained in the QIAGEN Knowledge Base. Networks of Network Eligible Molecules were then algorithmically generated based on their connectivity. Canonical pathways analysis identified the pathways from the QIAGEN Ingenuity Pathway Analysis library of canonical pathways that were most significant to the data set. Molecules from the data set that met the expression ratio cutoff of 2 × and were associated with a canonical pathway in the QIAGEN Knowledge Base were considered for the analysis. The significance of the association between the data set and the canonical pathway was measured in two ways: 1) A ratio of the number of molecules from the data set that map to the pathway divided by the total number of molecules that map to the canonical pathway is displayed; and 2) A right-tailed Fisher’s Exact Test was used to calculate a p-value determining the probability that the association between the genes in the dataset and the canonical pathway is explained by chance alone. 3) In many cases a z-score was calculated to indicate the likelihood of activation or inhibition of that pathway.
Networks are shown as a graphical representation of the molecular relationships between molecules and were prepared using the IPA MyPathways function. Molecules are represented as nodes, and the biological relationship between two nodes is represented as an edge (line). All edges are supported by at least one reference from the literature, from a textbook, or from canonical information stored in the QIAGEN Knowledge Base. Human, mouse, and rat orthologs of a gene are stored as separate objects in the QIAGEN Knowledge Base but are represented as a single node in the network. The intensity of the node color indicates the degree of up-(red) or down-(green) regulation. In order to more fully display the network pathways genes whose expression increased or decreased 1.2 × or greater are shown as increased or decreased. Nodes are displayed using various shapes that represent the functional class of the gene product. Edges are displayed with various labels that describe the nature of the relationship between the nodes (e.g., P for phosphorylation, T for transcription). The UPRmt network is not a canonical IPA pathway but was constructed in the IPA MyPathways function from previously published analyses and shaded using the IPA overlay function42,56,57.
Data availability
Original data for this report including RNASeq and qRT-PCR results are available at DRYAD: https://doi.org/10.5061/dryad.rn8pk0pmm.
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This research was supported by the Intramural Research Program of the NIH, National Eye Institute, EY000272.
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Conceived and designed the experiments: Z.M. and J.F.H.; Performed the experiments: Z.M., C.O., V.P.R.V. and M.H.S.; Analyzed the data: Z.M. and J.F.H.; Wrote the manuscript: J.F.H.; Edited the manuscript: M.H.S., V.P.R.V., Z.M., and J.F.H.
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Shah, M.H., Vendra, V.P.R., Ostrowski, C. et al. The c.119-123dup5bp mutation in human γC-crystallin destabilizes the protein and activates the unfolded protein response to cause highly variable cataracts. Sci Rep 15, 6542 (2025). https://doi.org/10.1038/s41598-025-90977-2
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DOI: https://doi.org/10.1038/s41598-025-90977-2











