Abstract
Fuchs endothelial corneal dystrophy (FECD) is a common cause for heritable visual loss in the elderly. Since the first description of an association between FECD and common polymorphisms situated within the transcription factor 4 (TCF4) gene, genetic and molecular studies have implicated an intronic CTG trinucleotide repeat (CTG18.1) expansion as a causal variant in the majority of FECD patients. To date, several non-mutually exclusive mechanisms have been proposed that drive and/or exacerbate the onset of disease. These mechanisms include (i) TCF4 dysregulation; (ii) toxic gain-of-function from TCF4 repeat-containing RNA; (iii) toxic gain-of-function from repeat-associated non-AUG dependent (RAN) translation; and (iv) somatic instability of CTG18.1. However, the relative contribution of these proposed mechanisms in disease pathogenesis is currently unknown. In this review, we summarise research implicating the repeat expansion in disease pathogenesis, define the phenotype-genotype correlations between FECD and CTG18.1 expansion, and provide an update on research tools that are available to study FECD as a trinucleotide repeat expansion disease. Furthermore, ongoing international research efforts to develop novel CTG18.1 expansion-mediated FECD therapeutics are highlighted and we provide a forward-thinking perspective on key unanswered questions that remain in the field.
Keywords: Fuchs endothelial corneal dystrophy, Repeat-expansion, Transcription factor 4, Triplet repeat-mediated disease, Trinucleotide repeat, FECD, CTG18.1, RNA toxicity, RAN translation
Highlights
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FECD is a common, age-related corneal dystrophy.
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The majority of cases are associated with expansion of a CTG repeat (CTG18.1).
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FECD is the most common trinucleotide repeat expansion disease in humans.
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Evidence supports multiple molecular mechanisms underlying the pathophysiology.
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Novel CTG18.1-targeted therapeutics are in development.
1. Introduction
1.1. Fuchs endothelial corneal dystrophy
Fuchs endothelial corneal dystrophy (FECD) is a common bilateral eye disease and a frequent cause of cornea-related blindness. The defining clinical sign of early disease is the presence of microscopic collagenous excrescences of corneal endothelial basement (Descemet) membrane (referred to as guttae) which protrude posteriorly toward the anterior chamber (Fig. 1). FECD is usually diagnosed in the fourth decade of life or later, though guttae can be present for many years before noticeable symptoms develop (Goar, 1933). As individuals age, the optical quality of the cornea degrades as the number of guttae increase, resulting in reduced contrast sensitivity, increased glare and loss of visual acuity (Baratz et al., 2012; Patel et al., 2012; van der Meulen et al., 2011). With more advanced disease, stromal and epithelial edema ensues along with subepithelial fibrosis which can result in pain and severe vision loss.
1.2. Characteristics of corneal endothelial cells in FECD
The main function of corneal endothelial cells is to maintain corneal deturgescence by removing fluid from the stroma via specialized ion transporters dependent on Na+/K+-ATPase activity (Bonanno, 2003, 2012; Li et al., 2016). As FECD progresses with age, the number of guttae increases and endothelial cell density decreases, especially in the central cornea, resulting in the loss of the regular hexagonal cellular array (Fig. 1). The corneal endothelium is vulnerable to endothelial cell loss given that the cells in vivo are arrested in the G1 phase of the cell cycle and therefore have minimal proliferation potential (Joyce, 2012). Consequently, the loss of endothelial cells is often associated with a failure of the endothelium to effectively maintain the corneal aqueous barrier and deturgescence, resulting in corneal edema, diminished clarity, and vision loss.
1.3. Epidemiology of FECD
The recorded incidence and prevalence of FECD varies widely over different ethnic groups. In the United States and Europe, the prevalence of the disease is estimated to be 4–5% among persons over the age of 40 years, while FECD is considered uncommon in Japan, Saudi Arabia and in Chinese Singaporeans (Eghrari and Gottsch, 2010; Krachmer et al., 1978; Lorenzetti et al., 1967; Santo et al., 1995; Vithana et al., 2008). When assessed with specular microscopy, the prevalence of guttae is higher in white (11.2%) than East Asian (5.5%) populations and higher in females (5.5%–11%) than males (1.5%–7%) (Kitagawa et al., 2002; Zoega et al., 2006). Females are affected up to three times more often than males in several different ethnic populations while also having more severe disease (Afshari et al., 2006; Higa et al., 2011; Kitagawa et al., 2002; Zoega et al., 2006). Corneal transplantation is currently the only treatment for advanced FECD (Matthaei et al., 2017) accounting for 39% of United States primary corneal transplant cases in 2018 (Eye-Bank, 2019).
2. Genetic association of TCF4 and FECD
The familial nature of FECD through an autosomal dominant mode of transmission was first described in 1971 (Cross et al., 1971). Several years later, a confirmatory study described 64 families also with an inheritance pattern consistent with an autosomal dominant trait (Krachmer et al., 1978). This cohort showed variable penetrance and expression and a female preponderance. Since this landmark study, application of traditional linkage and candidate gene screening approaches have identified rare and presumed disease-associated variants in several genes including AGBL1, COL8A2, LOXHD1, SLC4A11 and ZEB1 (Table 1) (Afshari et al., 2017; Biswas et al., 2001; Gupta et al., 2015; Mehta et al., 2008; Riazuddin et al., 2010a, 2010b, 2012, 2013). Despite these findings, presumed disease-causing mutations in these genes collectively account for only a small proportion of total FECD. Recently, a large multi-centre genome wide association study (GWAS) in the United States analysing 2075 FECD patients and 3342 control subjects identified common polymorphisms in proximity to KANK4, LAMC1 and LINC00970/ATP1BP1, in addition to TCF4 (discussed below), that showed a significant association with increased FECD risk (Afshari et al., 2017). Notably, none of the associated loci identified by the Afshari et al. GWAS encompass or were found to be in close proximity to the aforementioned genes (AGBL1, COL8A2, LOXHD1, SLC4A11 and ZEB1) hypothesised to harbour rare disease-associated variants. Pathogenic mechanisms underlying these disease-causing and disease-associated genes are not the focus of this review, and additional information regarding their FECD-association has recently been described elsewhere (Zhang et al., 2019, Ong Tone et al., 2020).
Table 1.
Associated gene or loci | Protein | OMIM | Genomic coordinates (GRCh38) | Most significantly associated SNP | Reference |
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Gene harbouring presumed causative variant(s) | |||||
TCF4 | Transcription factor 4 | 613267 | 18:55,222,184–55,635,956 | rs613872 rs784257 |
Baratz et al. (2010); Wieben et al. (2012) Afshari et al. (2017) |
COL8A2 | Collagen Type VIII Alpha 2 Chain | 136800 | 1:36,095,238–36,126,206 | NA | Biswas et al. (2001) |
SLC4A11 | Solute carrier family 4 (sodium borate cotransporter), member 11 | 613268 | 20:3,227,416–3,241,483 | NA | Vithana et al. (2008) |
ZEB1 | Zinc finger E box-binding homeobox 1 | 613270 | 10:31,318,416–31,529,813 | NA | Mehta et al. (2008) |
AGBL1 | ATP/GTP-binding protein-like 1 | 615523 | 15:86,079,619–87,031,475 | NA | Riazuddin et al. (2013) |
LOXHD1 | Lipoxygenase homology domain-containing 1 | NA | 18:46,476,960–46,657,114 | NA | Riazuddin et al. (2012) |
Associated loci identified via GWAS | |||||
KANK4 | KN motif- and ankyrin repeat domain-containing protein 4 | NA | 1:62,236,164–62,319,433 | rs79742895 | Afshari et al. (2017) |
LAMC1 | Laminin, gamma-1 | NA | 1:183,023,419–183,145,591 | rs3768617 | Afshari et al. (2017) |
LINC00970/ATP1B1 | ATPase, Na+/K+ transporting, beta-1 polypeptide | NA | 1:169,106,689–169,132,718 | rs1200114 | Afshari et al. (2017) |
OMIM, online inheritance in man; GWAS, genome wide association study; SNP, single nucleotide polymorphism.
2.1. Common TCF4 polymorphisms are associated with FECD
In 2010, we performed a GWAS using a North American Caucasian cohort of 130 FECD patients and 260 controls (Fig. 2) (Baratz et al., 2010). Despite the relatively small cohort size, several non-coding single-nucleotide polymorphisms (SNPs; rs613872, rs17595731, rs9954153, rs2286812) on chromosome 18 achieved genome-wide significance (P = 5 × 10−8) with rs613872 showing the strongest association (P = 1.0 × 10−12). We confirmed this association in an independent replication cohort comprising an additional 150 affected and 150 control subjects (P = 1.79 × 10−13). These SNPs were found to cluster within and around the transcription factor 4 (TCF4) gene (chromosome 18q21.2; OMIM # 602272; ENSG00000196628). In the combined experimental and replication cohorts, one copy of the rs613872 minor allele (heterozygotes, GT) conferred a 5.5 fold risk of FECD and two copies of the minor allele (homozygotes, GG) conferred a 30-fold risk of FECD. Notably, an earlier FECD familial linkage study in 2006 had previously identified a disease-associated region on chromosome 18q21 encompassing TCF4 (Sundin et al., 2006). However, the unusually high odds ratios obtained from our GWAS (Baratz et al., 2010) provided the first evidence to suggest that a true causal variant could be directly associated with rs613872 and underlie disease in a large proportion of total cases (Wright and Dhillon, 2010).
The association of FECD with common SNPs encompassed within and around TCF4 has since been replicated by several independent groups in ethnically diverse patient populations (Li et al., 2011; Riazuddin et al., 2011; Thalamuthu et al., 2011). Additionally, the recent multi-centre GWAS further confirmed the association between common variants in TCF4 and the disease (Afshari et al., 2017). In this study, a SNP situated in an intergenic region upstream of TCF4 (rs784257) conferred the most significant association (P = 2.5 × 10−200).
2.2. TCF4 contains a non-coding trinucleotide repeat (TNR) expansion
Mutations and common polymorphisms within TCF4 have been implicated in several diseases including bipolar disorder, schizophrenia, Pitt-Hopkins Syndrome (OMIM # 610954), and Sonic Hedgehog (SHH) medulloblastoma tumours (Blake et al., 2010; Blanluet et al., 2019; Forrest et al., 2012, 2018; Hellwig et al., 2019; Rannals and Maher, 2017; Roussos, 2012; Sweatt, 2013; Xia et al., 2018). Due to molecular interrogation of a locus on chromosome 18 and its association with bipolar disorder, a CTG trinucleotide repeat was discovered in TCF4 and subsequently named CTG18.1 (see Fig. 4A and B) (Breschel et al., 1997). Despite not identifying a disease association between CTG18.1 and bipolar disorder, Breschel and co-workers did discover expanded copies of the repeat in both bipolar and control cohorts at frequencies of ~3% (Table 2). Intriguingly, this approximately corresponds to the prevalence of FECD in the northern European population now established to be attributed to CTG18.1 expansion. Furthermore, these authors observed stable inheritance of unexpanded allele lengths, whereas moderate (53–250 repeats) and large (800–2100 repeats) expansions were reported to be unstably inherited during parent to child transmission (Breschel et al., 1997). A subsequent study utilizing bipolar disorder, schizophrenia, affective disorder and non-specific ataxia cohorts later confirmed the lack of associations between CTG18.1 expansion and these diseases (Breschel et al., 1997; McInnis et al., 2000). While no clear genetic association between CTG18.1 repeat length and psychiatric disorders have been identified since, genetic expansions of repetitive regions elsewhere in the genome have been linked to over 40 diseases [reviewed in (Paulson, 2018; Rodriguez and Todd, 2019)]. These repeat expansion diseases are typically progressive neuro- and neuro-muscular degenerations such as fragile X syndrome, Huntington's disease, C9ORF72-associated amyotrophic lateral sclerosis and frontotemporal dementia (C9ORF72 ALS/FTD), and myotonic dystrophy type 1 (DM1) and type 2 (DM2) (Brook et al., 1992; DeJesus-Hernandez et al., 2011; Group, 1993; Kremer et al., 1991; Liquori et al., 2001; Orr and Zoghbi, 2007; Paulson, 2018; Renton et al., 2011).
Table 2.
Ethnicity, as reported in original study | FECD cases with CTG18.1 expansion (%) | Controls with CTG18.1 expansion (%) | Refereance |
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British Caucasian | 77.3%† | 4.2%† | Zarouchlioti et al. (2018) |
Czech Republic | 81.1%† | – | Zarouchlioti et al. (2018) |
American | 79%† 73%* 62%* 63%* |
3%† 7%* 3.6%* |
Wieben et al. (2012); Mootha et al. (2014); Vasanth et al. (2015); Eghari et al. (2017a) |
German | 77†; 79%† 79%† |
10.8† 11.5%† |
Foja et al. (2017); Okumura et al. (2019a); Luther et al. (2016) |
Russian | 72%* | 5%* | Skorodumova et al. (2018) |
Belgian | – | 8%* | Del-Favero et al. (2002) |
Swedish | – | 3%* | Del-Favero et al. (2002) |
Croatian | – | 6%* | Del-Favero et al. (2002) |
Danish | – | 3%* | Del-Favero et al. (2002) |
Scottish | – | 7%* | Del-Favero et al. (2002) |
Northern European | – | 3%† | Breschel et al. (1997) |
Australian | 51%* | 5%* | Kuot et al. (2017) |
Thai | 39%* | 0%* | Okumura et al. (2019c) |
Singaporean Chinese | 44%* | 1.7%* | Xing et al. (2014) |
Japanese | 26%† | 0%† | Nakano et al. (2015) |
Indian | 17%† | 3%† | Rao et al. (2017) |
Inidan (Odisha and West Bengal) | 34%† | 5%† | Nanda et al. (2014) |
African American | 35%* | – | Eghari et al. (2017a) |
*, >40 repeats used as criteria for expansion; †, >50 repeats used as criteria for expansion; -- not screened.
2.3. FECD is associated with a trinucleotide repeat expansion in the non-coding region of TCF4
Lack of disease-associated mutations within the coding regions of TCF4 reported by us and subsequently confirmed by Riazuddin et al. (Baratz et al., 2010; Riazuddin et al., 2011), raised the possibility that the genetic variant(s) underlying the FECD association could reside in a non-coding region of TCF4. Given the natural history of FECD as an autosomal dominant, late-onset genetic disease, we explored the possibility that variations in CTG18.1 repeat length could represent the underlying causal variant. In 2012, we reported CTG18.1 genotyping results for 66 Caucasians with a confirmed diagnosis of FECD (Wieben et al., 2012). Remarkably, 52/66 (79%) had repeat lengths ≥50, with three individuals harbouring a CTG expansion >1500. This finding was in stark contrast to the concurrently investigated control population of which only 2/63 individuals (3%) with FECD negative corneas had ≥50 copies of the CTG repeat. Furthermore, our data demonstrated that the presence of one or more expanded (≥50 copies) CTG18.1 alleles was more specific in predicting FECD than any previously described FECD-associated variant (Wieben et al., 2012).
The association between CTG18.1 repeat length and FECD has now been replicated within numerous multi-ethnic cohorts (Table 2). Regardless of subtle variability in designated expansion thresholds used by ourselves and others (ranging from ≥40 to ≥50 repeats), the highest frequencies of CTG18.1 expansions have consistently been reported in predominantly Caucasian FECD populations including those in the United States (62–79%) (Eghrari et al., 2017a; Mootha et al., 2014; Vasanth et al., 2015; Wieben et al., 2012), Germany (77%–79%) (Foja et al., 2017; Okumura et al., 2019a), United Kingdom (77%) (Zarouchlioti et al., 2018), Czech Republic (81%) (Zarouchlioti et al., 2018), and Russia (72%) (Skorodumova et al., 2018). A lower prevalence was noted in a cohort of Australian FECD patients (51%), but the experimental methods employed in this study were unable to detect large expansions which may have decreased ascertainment rates (Kuot et al., 2017). Interestingly, the correlation between CTG18.1 expansion and FECD is also striking, although typically lower, in other non-Caucasian ethnic groups investigated to date. This includes African Americans (35%) (Eghrari et al., 2017a), Indians (17% and 34%) (Nanda et al., 2014; Rao et al., 2017), Japanese (26%) (Nakano et al., 2015), Singaporean Chinese (44%) (Xing et al., 2014), and Thai (39%) (Okumura et al., 2019c). Notably, CTG18.1 genotyping studies have consistently identified a bimodal distribution of repeat lengths, with the vast majority of patients typically harbouring repeat sizes of <30 or >50 (Zarouchlioti et al., 2018).
2.4. Challenges and limitations associated with screening the CTG18.1 repeat
The diagnosis and prognosis of repeat expansion is often dependent on accurate sizing of mutant alleles (Paulson, 2018). Expanded repeats remain intractable to short-read next-generation sequencing technologies due to their innate repetitive nature, size, and typically high GC content (Ardui et al., 2018; Treangen and Salzberg, 2011). These regions are usually investigated in a diagnostic setting using PCR-based amplification methods and Southern blotting (Gomes-Pereira and Monckton, 2004; Kohwi, 2004; Mootha et al., 2014; Warner et al., 1996; Wieben et al., 2012). Although these techniques provide an inexpensive and relatively simple method of estimating pathogenic repeat lengths, they all lack the ability to accurately determine repeat size and fail to provide sequence level resolution (Table 3).
Table 3.
Southern blot | STR analysis | SP-PCR | TP-PCR | No-Amp | |
---|---|---|---|---|---|
PCR dependent | ✓ | ✓ | ✓ | ||
High total DNA input requirement | ✓ | ✓ | |||
Repeat size estimate | ✓ | ✓ | ✓ | ✓ | |
Labour intensive | ✓ | ✓ | |||
Detection of >130 repeats | ✓ | ✓ | ✓* | ✓ | |
Sequence level resolution | ✓ | ||||
Detection of biallelic expansions | ✓ | ✓** | ✓ | ✓* | ✓ |
Detection of allele level instability | ✓ | ✓ |
STR, Short tandem repeat; SP-PCR, Small pool-polymerase chain reaction; TP-PCR, Triplet repeat primed-polymerase chain reaction; *, Only allows presence or absence detection at >130 repeats; **, Only if both alleles are <130 repeat.
To solve this problem, novel amplification-free sequencing methods have been developed that involve the use of targeted DNA enrichment by CRISPR/Cas9 in conjunction with sequencing of enriched native DNA by long-read single molecule sequencing platforms (e.g. Pacific Biosciences single molecule real time (SMRT) and Oxford Nanopore Technology (ONT) sequencing) (Ebbert et al., 2018; Gabrieli et al., 2018; Hoijer et al., 2018; Pham et al., 2016; Tsai et al., 2017). Such methods avoid the introduction of PCR-artefactual variation and, furthermore, enable sequence level resolution of single DNA molecules encompassing repetitive regions, such as CTG18.1. We have recently used Pacific Biosciences ‘No-Amp’ method which combines amplification-free enrichment with SMRT sequencing to sequence CTG18.1 in FECD patient cohorts (see Fig. 1 in Hafford-Tear et al., 2019 for a schematic summary of the methodology applied) (Hafford-Tear et al., 2019). These data have demonstrated that the ‘No Amp’ method enables accurate sizing and sequence level resolution of CTG18.1 alleles. Furthermore, the method revealed that expanded copies of CTG18.1 behave dynamically and are highly unstable, both contracting and expanding in length within peripheral blood leukocytes (Hafford-Tear et al., 2019; Wieben et al., 2019a). The biological relevance of this finding is discussed in Section 3.4. Challenges remain for this technology in improving target enrichment specificity, reducing DNA input requirements and developing improved informatics for sequence analysis (Hoijer et al., 2018, 2020; Jinek et al., 2012; Wieben et al., 2019a). The retrieval of high molecular weight DNA from sample material also remains a limiting factor for all of the above screening methodologies (Table 3).
3. Evidence of trinucleotide repeat expansion disease mechanisms underlying FECD
The discovery that non-coding CTG18.1 repeat expansions are detected in the vast majority of FECD cases has revolutionized our understanding of the disease (Wieben et al., 2012). Since the original finding was published in 2012, substantial progress has been made towards unravelling the pathophysiology of this common, age-related repeat expansion disease. Researchers have drawn inspiration from the repeat expansion research community and four distinct, non-mutually exclusive disease mechanisms have been hypothesised to drive and/or exacerbate the onset of disease (summarized in Fig. 3). These include the potential dysregulation of TCF4 expression, RNA-induced toxicity, Repeat Associated Non-AUG (RAN) translation and the instability of CTG18.1 repeat length in affected tissue. Herein we discuss the evidence in support of each of these distinct mechanisms and highlight current uncertainties and challenges that remain.
3.1. Dysregulation of TCF4 expression
TCF4 is a widely expressed gene that produces over 90 independent annotated transcripts due to multiple initiation start sites and alternative pre-mRNA splicing (Fig. 4C). With this wide-ranging transcript profile, it is not surprising that the encoded protein isoforms have been identified in many tissues and historically referred to in the literature by various names (herein referred to as TCF4, but also synonymous with E2-2, ITF2, SEF2, SEF2-1, SEF2-1a, SEF2-1b, PTHS, bHLHb19, MGC149723 and MGC149724) (Corneliussen et al., 1991; Henthorn et al., 1990; Murre et al., 1989; Pscherer et al., 1996; Yoon and Chikaraishi, 1994). At least 18 different N-terminal sequences have been identified and currently 61 unique validated protein-coding isoforms ranging in size from 511 to 773 amino acids are reported in Ensembl (Fig. 4C) (Sepp et al., 2011; Zerbino et al., 2018). Importantly, the protein encoded by TCF4 should not be confused with the product of TCF7L2, transcription factor 7-like 2, which has historically also been referred to as TCF4 in the literature (Hrckulak et al., 2016).
TCF4 is a member of the E-protein transcription factor family that binds to the Ephrussi (E-box) DNA sequence (CANNTG) (Massari and Murre, 2000). Common to nearly all TCF4 isoforms is the presence of a basic helix-loop-helix (bHLH) region (Fig. 4D) (Corneliussen et al., 1991). The bHLH region of TCF4 is highly conserved from mouse (ENSMUSG00000053477) to humans (ENSG00000196628) and serves as an interface with not only DNA, but also with other proteins (Ellenberger et al., 1994; Longo et al., 2008). This region, along with a conserved C domain on the C-terminal end of the bHLH domain (Goldfarb et al., 1998), enables homo- and heterodimerization with other transcription factors or transcription modifiers. TCF4 can potentially dimerize with any of its own isoforms and with any member of the class II, V, and VI bHLH family of transcription factors (Forrest et al., 2014), enabling transcriptional regulation of a number of genes.
In addition to the bHLH region, TCF4 also contains several additional protein domains, depending on the isoform. The presence of transactivation domains (AD1 and AD2) enables binding of additional regulatory molecules that can further modify functions of TCF4 isoforms (Fig. 4). For example, TCF4 interacts with transcriptional activator p300 (EP300) via the AD1 domain (Bayly et al., 2004; Massari et al., 1999). However due to alternative splicing, not all TCF4 isoforms contain AD1. Additionally, the presence or absence of nuclear localization signals, export signals and repressor regions can all direct and modify the activity of specific TCF4 isoforms within the cell (Greb-Markiewicz et al., 2019). Of the numerous TCF4 isoforms identified, isoforms A and B are the most extensively characterised (Fig. 4C) (Corneliussen et al., 1991; Skerjanc et al., 1996; Sobrado et al., 2009). While the TCF4-B isoform contains the full complement of activation domains, nuclear localization and export signals, the TCF4-A isoform lacks AD1 and the nuclear localization signal found in the N-terminus (Fig. 4D). However, both still function within the nucleus with TCF4-A relying on heterodimerization with cytoplasmic proteins to cross the nuclear membrane (Sepp et al., 2011). The numerous isoforms and functional regulators contained within the gene underlie the diverse functions of TCF4 in human development and disease. This plasticity illustrates the possibility that dysregulation of a distinct subset of isoforms could contribute to the pathology of FECD within the corneal endothelium.
Genetic variations located within non-coding regions of genes have the potential to function as cis-regulators, affecting expression of nearby transcripts by either suppressing or enhancing transcription (Bidichandani et al., 1998; Liu et al., 2012; Todd et al., 2010). This phenomenon has been well documented to contribute to the pathology of several non-coding repeat expansion diseases (Botta et al., 2007; Haeusler et al., 2014; O'Hearn et al., 2015). Likewise, expansion of CTG18.1 has the potential to influence the expression of many of the TCF4 isoforms characterised to date (Fig. 4C). Importantly however, complete haploinsufficiency of TCF4 is known to result in Pitt-Hopkins syndrome (OMIM # 610954); a severe neurodevelopmental disorder associated with profound intellectual disability, absence of speech, behavioural issues and ventilation abnormalities (Amiel et al., 2007; Brockschmidt et al., 2007). It therefore is highly unlikely that expansion of CTG18.1 induces TCF4 haploinsufficiency, given the completely different phenotypes associated with FECD and Pitt-Hopkins Syndrome. However, it is possible that CTG18.1 expansion induces up or down dysregulation of a subset of TCF4 transcripts. Notably, for approximately half the annotated protein coding TCF4 transcripts (34/64), CTG18.1 is located within an intron. Additionally, for a few of the isoforms, the CTG18.1 repeat sequence is located within putative promotor regions. The remaining transcripts do not encompass CTG18.1 (Fig. 4). Consequently, it seems logical that if expansion of CTG18.1 does induce dysregulation, only certain transcripts will likely be affected and the effects may be disparate for different isoforms depending on the location of the repeat element within each respective transcript.
Several approaches have been employed to determine if CTG18.1 expansion alters TCF4 expression within the corneal endothelium (Foja et al., 2017; Mootha et al., 2015; Okumura et al., 2019b; Oldak et al., 2015; Wieben et al., 2018). Oldak et al. used a quantitative (q)-PCR-based approach to explore TCF4 expression levels between corneal endothelial cell monolayers derived from control subjects and FECD patients with the rs613872 risk allele. In this study, q-PCR probes used to amplify a region of TCF4 common to all annotated protein-coding transcripts found no significant differences within the stratified FECD patient samples (rs613872 risk allele) or collectively between FECD patient tissues and controls (Oldak et al., 2015). Similarly, Mootha et al. employed a q-PCR based approach to investigate TCF4 expression levels between FECD expansion-positive corneal endothelial tissues and controls using primers specific to the constitutively expressed exon encoding the bHLH domain present in all TCF4 protein isoforms (Mootha et al., 2015). Like the Oldak study, they observed no significant differences in expression levels. Conversely, Foja et al. using a single TaqMan probe complementary to an exon spanning region in close proximity to the CTG18.1 region found reduced levels of TCF4 expression within corneal endothelial explants derived from expansion-positive (≥50 repeats) FECD patients when compared to controls (<50 repeats) (Foja et al., 2017). More recently, Okumura et al. applied a q-PCR based approach using a combination of primers spanning the canonical TCF4 transcript (ENST00000354452.8) and found TCF4 transcription was significantly upregulated in CTG18.1 expansion-positive corneal endothelium (Okumura et al., 2019b).
Given the large number of TCF4 transcripts characterized to date (Fig. 4), it is perhaps not surprising that studies comparing TCF4 transcripts from FECD and control corneal endothelial cells have yielded inconclusive results. Opposing results are likely attributed, in part, to the varying specificity of probes used to detect TCF4 expression by the different studies. Because CTG18.1 expansions likely influence only a subset of total transcripts, experiments designed to quantify total TCF4 transcripts may be ineffective at detecting subtle isoform-specific dysregulation events. Comprehensive knowledge of all TCF4 transcripts expressed within the corneal endothelium, and their relative abundance within control and CTG18.1 expansion-positive patients, needs to be determined in order to understand the effect of CTG18.1 expansions on TCF4 expression. It is anticipated that RNA-Seq based approaches will facilitate this goal by enabling researchers to view TCF4-specific transcriptome signatures irrespective of probe bias. Given the diverse array of TCF4 isoforms, we anticipate third generation long-read transcriptome sequencing will prove most effective by providing end-to-end sequencing of full-length transcripts. This will overcome the reliance on algorithms to piece together short-read data to infer isoform abundance, which is notoriously difficult to accurately achieve for genes such as TCF4 that comprise so many different transcripts (Fig. 4) (Hardwick et al., 2019).
The importance of determining the effect of CTG18.1 expansion on TCF4 expression is magnified by the fact that several convergent lines of evidence suggest that TCF4 is a regulator of epithelial mesenchymal transition (EMT), a complex process involving epithelial cells depolarizing and adopting motile and invasive properties (Forrest et al., 2013; Sobrado et al., 2009). The process of endothelial mesenchymal transformation (EndMT), as seen in the corneal endothelium, is thought to be regulated by similar pathways and corneal endothelial cells commonly undergo EndMT when cultured in vitro (Roy et al., 2015). Another distinctive inherited corneal endothelial disease, posterior polymorphous corneal dystrophy, is characterized by corneal endothelial cells adopting aberrant epithelial-like features. We, and others, have established that posterior polymorphous corneal dystrophy is associated with dysregulation of EMT governing transcription factors ZEB1, OVOL2 and GRHL2 (Davidson et al., 2016; Krafchak et al., 2005; Liskova et al., 2018). In light of this and the fact that TCF4 is an established EMT regulator (Sobrado et al., 2009), it is tempting to speculate that dysregulation of TCF4's role within this pathway may contribute, in part, to the pathophysiology of CTG18.1 expansion-mediated FECD. Future adaptation of cell and animal-based model systems will be necessary to comprehensively address this hypothesis.
3.2. RNA-mediated toxicity
Repeat-associated RNA toxicity mechanisms are a key driver of pathology underlying DM1 (myotonic dystrophy, type 1; OMIM # 160900) and DM2 (myotonic dystrophy, type 2; OMIM # 602668) (Sznajder and Swanson, 2019), neurological diseases attributed to trinucleotide repeat expansions in non-coding regions of DMPK and CNBP respectively. Stable RNAs derived from each of the repeat expansions (CUG for DM1 and CCUG for DM2) have been shown to adversely affect developmentally regulated splicing factors in a tissue-specific manner leading to neuromuscular dysfunction (Braz et al., 2018; Matloka et al., 2018; Mohan et al., 2014). Toxicity arises when transcribed RNA containing repeat sequences accumulate in the nucleus of affected cells and sequester RNA binding proteins. These RNA binding proteins, including splicing factor muscleblind-like (MBNL) proteins, are sequestered in ribonucleoprotein structures known as RNA foci [reviewed in (Sznajder and Swanson, 2019)]. Sequestration of MBNL proteins results in an imbalance of available MBNL proteins and CUG binding protein 1 (CUGBP1), causing wide-spread changes in pre-mRNA splicing regulation (Kuyumcu-Martinez et al., 2007; Lin et al., 2006). Additional gain-of-function RNA toxicity mechanisms have been proposed including miRNA processing (Perbellini et al., 2011), transcriptional dysregulation (Botta et al., 2007) and global translational inhibition through stress granule induction (Huichalaf et al., 2010; Onishi et al., 2008). Evidence from in vitro cell experiments and studies performed in a mouse model of DM1 also indicate that MBNL depletion can influence mRNA localization and stability (Sobczak et al., 2013; Wang et al., 2012).
The insights gained from the well-characterised RNA-mediated toxicity mechanisms associated with DM1 and DM2 have driven understanding of similar gain-of-function effects mediated by CTG18.1 expansions in FECD. We and others have identified the presence of stable sense-derived (CUG)n and antisense-derived (CAG)n RNA transcripts in FECD patient-derived corneal endothelial cells (Fig. 5) (Du et al., 2015; Hu et al., 2018, 2019; Rong et al., 2019; Zarouchlioti et al., 2018). We have found that these RNA aggregates act as a consistent biomarker for CTG18.1 expansion-mediated FECD and are highly concordant with genotype status (Zarouchlioti et al., 2018). Furthermore, we demonstrated that sense-derived (CUG)n foci consistently sequester MBNL proteins and correlate with CTG18.1 expansion status (Fig. 6) (Du et al., 2015; Zarouchlioti et al., 2018). However, antisense-derived (CAG)n foci appear to be less abundant than the sense counterparts in corneal endothelial explants (Hu et al., 2018) and evade detection in primary corneal endothelial cell cultures (Zarouchlioti et al., 2018).
Evaluation of pre-mRNA splicing patterns using MISO (Mixture of Isoforms) followed by PCR validation in corneal endothelial tissues obtained from two limited datasets of FECD patients and controls enabled us to identify 24 events that were strongly concordant with CTG18.1 expansion status and FECD (Table 4) (Wieben et al., 2017). We found that dysregulated pre-mRNA splicing of NUMA1, PPFIBP1, and MBNL1 represented the most robust and consistent signatures of dysregulation associated with CTG18.1 expansions. Intriguingly many of these aberrantly regulated splicing events are common to those defined previously in DM1 (Nakamori et al., 2013; Wang et al., 2012).
Table 4.
Gene | Genomic location of alternative pre-mRNA splicing event (GRCh37) |
||
---|---|---|---|
Upstream (5′) exon | Differentially-spliced exon | Downstream (3′) exon | |
ABI1 | chr10:27065994:27066170 | chr10:27060004:27060018 | chr10:27059174:27059274 |
ADD3 | chr10:111890121:111890244 | chr10:111892063:111892158 | chr10:111893084:111895323 |
AKAP13a | chr15:86198648:86199018 | chr15:86201768:86201821 | chr15:86207794:86207986 |
TSPOAP1 | chr17:56387328:56387519 | chr17:56385902:56386741 | chr17:56385203:56385302 |
CD46 | chr1:207958964:207959027 | chr1:207963598:207963690 | chr1:207966864:207968861 |
CLASP1 | chr2:122204913:122205083 | chr2:122203025:122203072 | chr2:122187649:122187753 |
COPZ2 | chr17:46105838:46105876 | chr17:46105042:46105155 | chr17:46103533:46103841 |
EXOC1 | chr4:56749989:56750094 | chr4:56755054:56755098 | chr4:56756389:56756552 |
FGFR1 | chr8:38314874:38315052 | chr8:38287200:38287466 | chr8:38285864:38285953 |
GOLGA2 | chr9:131036129:131036251 | chr9:131035064:131035144 | chr9:131030699:131030803 |
INF2 | chr14:105180540:105181193 | chr14:105181621:105181677 | chr14:105185132:105185947 |
ITGA6 | chr2:173362703:173362828 | chr2:173366500:173366629 | chr2:173368819:173371181 |
KIF13A | chr6:17794480:17794626 | chr6:17790103:17790141 | chr6:17788007:17788106 |
KIF13Aa | chr6:17772139:17772290 | chr6:17771345:17771449 | chr6:17763924:17765177 |
MBNL1ab | chr3:152163071:152163328 | chr3:152164493:152164546 | chr3:152165409:152165562 |
MBNL2b | chr13:97999058:97999321 | chr13:98009050:98009103 | chr13:98009736:98009889 |
MYO6 | chr6:76618213:76618344 | chr6:76621389:76621415 | chr6:76623780:76623998 |
NHSL1 | chr6:138768138:138768330 | chr6:138763120:138763251 | chr6:138751530:138754817 |
NUMA1b | chr11:71723941:71727306 | chr11:71723447:71723488 | chr11:71721832:71721900 |
PLEKHM2 | chr1:16046229:16046415 | chr1:16047824:16047883 | chr1:16051812:16052040 |
PPFIBP1 | chr12:27829361:27829532 | chr12:27829997:27830029 | chr12:27832422:27832572 |
SCARB1 | chr12:125270903:125271049 | chr12:125267229:125267357 | chr12:125262174:125263132 |
SYNE1 | chr6:152469180:152469513 | chr6:152466622:152466690 | chr6:152464758:152464900 |
VEGFA | chr6:43746626:43746655 | chr6:43749693:43749824 | chr6:43752278:43754223 |
Aberrant splicing event identified to be specific to CTG18.1 expansion status in the presence of FECD phenotype only (Wieben et al., 2019).
aberrant splicing event independently validated by RT-PCR in primary corneal endothelial cells derived from FECD patients (Zarouchlioti et al., 2018); modified from and used with permission from Wieben et al. (2017).
To further investigate the biological relevance of aberrant pre-mRNA splicing events associated with FECD pathogenesis, we also investigated a small cohort of elderly patients with CTG18.1 expansions (ranging from 67 to 83 repeats) but without an FECD phenotype (Wieben et al., 2018). RNA-Seq analysis of transcripts isolated from the corneal endothelium of these patients revealed that the majority of pre-determined CTG18.1 expansion-associated pre-mRNA splicing changes persisted in these individuals, despite the absence of FECD disease. However, pre-mRNA splicing events affecting MBNL1, KIF13A and AKAP13 were all identified to be unique to the FECD phenotype-positive group suggesting that these events may be drivers of FECD pathology. The identification of normally spliced MBNL1 present in individuals with CTG18.1 expansion in the absence of FECD is of particular interest. A recent study suggested that lower levels of MBNL1 are found in human corneal endothelial cells compared to other human cell types, making depletion of MBNL1 via sequestration a viable explanation for the tissue specificity of the disease (Rong et al., 2019). It is thus reasonable to speculate that having sufficient levels of MBNL1 to perform crucial pre-mRNA splicing may be an essential event that effectively helps maintain normal corneal endothelial cell status. However, additional studies will be required to examine this interesting observation more closely.
In addition to dysregulated pre-mRNA splicing of various genes, we have established that expansion of CTG18.1 within the corneal endothelium results in retention of the TCF4 intron encompassing the repeat. The direct relationship between TCF4 intron-retaining transcripts and the presence of RNA foci is yet to be understood (Du et al., 2015; Sznajder and Swanson, 2019; Sznajder et al., 2018; Wieben et al., 2019a). It is possible that currently unidentified mis-spliced TCF4 transcripts could lead to translation of unique and potentially pathogenic TCF4 isoforms. In Huntington's disease, the mis-splicing of intron 1 in HTT transcripts results in a short polyadenylated mRNA corresponding to a short exon 1 protein product that is highly pathogenic (Gipson et al., 2013). Future approaches exploring CTG18.1 expansion-specific TCF4 transcriptome signatures of dysregulation will hopefully address if similar mechanisms are involved in FECD pathogenesis.
Intron retention acts as a biomarker of CTG18.1 expansion in corneal endothelial cells (Du et al., 2015; Sznajder et al., 2018). However, we have demonstrated that this mechanism is not sufficient to cause disease given that RNA derived from corneal endothelial cells of elderly individuals with CTG18.1 repeat expansion in the absence of FECD phenotype had comparable levels of intron retention to affected FECD patients (Wieben et al., 2019b). Intron retention is more broadly recognized as a feature of CG-rich intronic expansions, as is the case for C9orf72-associated ALS (Niblock et al., 2016) and CCHC-Type Zinc Finger Nucleic Acid Binding Protein (CNBP)-associated DM2 (Raheem et al., 2010; Sznajder et al., 2018). Such events are detectable in both affected corneal endothelial tissue and peripheral blood lymphocytes, serving as a biomarker for the detection of individuals with CTG18.1 expansion (Du et al., 2015; Sznajder et al., 2018; Wieben et al., 2019b).
Our data suggests that RNA toxicity induced by CTG18.1 expansions is a compelling mechanism to explain FECD pathology, given the strong concordance between RNA foci, MBNL sequestration and the resulting dysregulated splicing events consistently observed in expansion-positive patients (Du et al., 2015; Zarouchlioti et al., 2018). However, there remains much to be learned about this pathomolecular mechanism and its contribution to FECD pathology. Currently, we do not understand the tissue specificity of this process, and the presence of sense-derived (CUG)n foci has only been investigated in patient-derived CTG18.1 expansion-positive fibroblasts and corneal endothelial cells. While the existence of RNA foci in corneal endothelial cells has been confirmed by several groups, similar studies have seen contrasting results in fibroblasts. We have identified foci in some CTG18.1 expansion-positive fibroblasts, but not in others (Du et al., 2015; Zarouchlioti et al., 2018). These differences may be attributed to cell-type specific thresholds with respect to repeat size and foci occurrence. However, it is not clear why the corneal endothelium is so susceptible to disease, despite TCF4 being broadly expressed across diverse cell types. Similarly, we do not understand if recruitment of MBNL and other RNA binding proteins solely impacts pre-mRNA splicing regulation. In DM1, sequestration of MBNL proteins also interferes with mRNA localization, stability and other diverse RNA toxicity-associated mechanisms (Wang et al., 2012). Future examination of the impact of RNA foci development, MBNL sequestration, the impact of dysregulated splicing and more broadly differential gene expression at the molecular and physiological levels will be necessary to understand their importance in disease development. This understanding will aid in the development of therapeutic targets to prevent and/or slow disease progression.
3.3. Repeat-associated non-AUG dependent (RAN) translation
In 2011, Zu et al. made a ground-breaking discovery that homopolymeric proteins could be synthesized from repetitive RNA transcripts in the absence of an AUG start codon; a process called RAN translation (Zu et al., 2011). RAN translation has been implicated in several repeat-mediated diseases including spinocerebellar ataxia 8 (SCA8) (Zu et al., 2011), C9ORF72 ALS/FTD (Ash et al., 2013; Mori et al., 2013; Zu et al., 2013), DM1 (Zu et al., 2017) and DM2 (Zu et al., 2017). As explained above, corneal endothelial cells derived from FECD patients containing a CTG18.1 expansion transcribe both stable sense-derived (CUG)n and antisense-derived (CAG)n RNA transcripts (Du et al., 2015; Hu et al., 2018, 2019; Rong et al., 2019; Zarouchlioti et al., 2018). Translation of these repetitive CUG and CAG containing RNA transcripts from the TCF4 gene could theoretically produce five distinct repeat peptides when considering all possible open reading frames (Fig. 7). In other CTG repeat-associated disorders, RAN translation-derived peptides have been shown to form nuclear and cytoplasmic inclusions resulting in varying levels of cell toxicity. Thus, it is conceivable that the presence of RAN translated products originating from the CTG18.1 expansion sequence may contribute to, or drive, the accelerated levels of corneal endothelial cell death observed in FECD (Ayhan et al., 2018; Banez-Coronel et al., 2015; Zu et al., 2011).
With the aim of determining whether RAN translated peptides are produced from the CTG18.1 expansion containing transcripts, our collaborators generated a series of polyclonal antibodies to identify the putative C-terminal regions of four of the five possible RAN translation derived peptides: poly-Alanine (Ala), poly-Cysteine (Cys), poly-Glutamine (Gln) and poly-Serine (Ser) (Soragni et al., 2018). Use of these antibodies in cells containing transient overexpression of constructs harbouring CTG repeats showed that the CTG18.1 expansion within it's genomic context is transcribed and translated via a non-AUG dependent mechanism. These data support the hypothesis that RAN translation may occur in CTG18.1 expansion-positive tissues. Additionally, these investigators used an anti-peptide antibody raised against the putative C-terminal region of poly-Cys peptide and detected expression of the poly-Cys species within corneal endothelial tissue derived from a CTG18.1 expansion-positive FECD patient. These findings provided the first evidence that RAN translation may be occurring in FECD corneal endothelium and suggested that this mechanism might contribute to FECD pathophysiology. However, additional efforts are needed to build upon these data to further characterize poly-Cys species within FECD tissue. It will also be necessary to determine if other short peptide species including poly-Ala, poly-Leu, poly-Gln and poly-Ser may be present, before beginning to dissect out the individual contribution of each distinct polypeptide to disease. This will not be a trivial task given the custom antibody requirements and the difficulties in detecting RAN translated peptides in human tissues. However, these studies will likely provide important insights that will greatly enhance understanding of the cellular mechanisms driving CTG18.1 expansion-mediated disease and could provide an opportunity for therapeutic development.
3.4. Somatic instability of CTG18.1
Disease-associated repeats can increase in length over an individual's lifetime in both an age-dependant and tissue specific manner, thus contributing to the tissue-specificity and symptom progression of a given disease (Morales et al., 2012). The somatic instability of disease-associated repeats therefore serves as an attractive hypothesis to explain the tissue-specificity and phenotypic variability of various repeat-associated diseases including DM1, DM2 and Huntington's disease (Cumming et al., 2018; Long et al., 2017; Monckton et al., 1995; Morales et al., 2012; Ohya et al., 1995; Trang et al., 2015). For example, DM1 patient-derived leukocytes typically have expansions of less than 250 CTG repeats in the DMPK gene while affected muscle cells can contain thousands of repeats within the same individual (Anvret et al., 1993). DMPK repeat length in muscle tissue has been correlated with age-of-onset and disease severity, with individuals having longer repeat lengths in muscle showing more debilitating symptoms (De Antonio et al., 2016; Dogan et al., 2016; Harper et al., 1992; Jansen et al., 1994; Kinoshita et al., 1996). DNA repair-dependant mechanisms and transcription-coupled nucleotide excision repair mechanisms are hypothesised to underlie this process, given that symptoms of DM1 predominantly occur in post-mitotic tissues (heart, skeletal muscle and the central nervous system) (Foiry et al., 2006; Morales et al., 2016; Seriola et al., 2011; Slean et al., 2008; Wohrle et al., 1995). In Huntington's disease, age-related oxidative stress has similarly been shown to lead to tissue-specific increases in expanded repeats via impaired DNA repair mechanisms (Kovtun et al., 2007).
Utilizing a long-read amplification free sequencing method (discussed in section 2.5), we demonstrated that expanded CTG18.1 alleles display high levels of somatic instability (Hafford-Tear et al., 2019). Analysing genomic DNA derived from CTG18.1 expansion-positive FECD patient leukocytes, expanded CTG18.1 repeats were found to behave dynamically with single DNA molecules harbouring both expanded and contracted copies of CTG18.1 repeat length. Notably, greater levels of instability were found to be positively correlated with increased CTG18.1 length. However, we have yet to establish how CTG18.1 behaves within the affected corneal endothelium. Despite the lack of understanding, it is tempting to speculate that expanded CTG18.1 alleles within corneal endothelial tissue will be prone to higher levels of somatic expansion and thus drive FECD progression, especially considering corneal endothelium's post-mitotic state and lifelong exposure to ultraviolet light. If DNA mismatch repair-dependant mechanisms are identified to be causal, it will be important for future research to probe how regulation of this process correlates with phenotypic outcomes (Ciosi et al., 2019; Consortium, 2015). It also remains plausible in some instances that somatic instability of CTG18.1 could be attributed to DNA replication errors occurring during early embryogenesis (McMurray, 2010).
4. Model systems and tools for studying CTG18.1 expansion-mediated FECD
Complementary uses of patient-derived tissue and in vitro cell-based systems have so far been employed to enhance understanding of CTG18.1 expansion pathology. However, there is currently a complete lack of animal models to probe CTG18.1 expansion-mediated disease mechanisms. In this section we highlight progress made, limitations facing different model systems, and the need to develop animal models to enhance our understanding of FECD disease mechanisms for rapid translational advances.
4.1. Histopathology
Examination of histopathological specimens in combination with in vivo imaging techniques have historically been important methods that informed the field regarding the structural and morphological changes that occur in FECD. Unlike other repeat-expansion diseases, FECD is a common disease affecting an accessible tissue that can be visually or microscopically monitored for pathological and sub-symptomatic changes. Additionally, the diseased tissue is often surgically removed in advanced cases as part of standard patient care, making tissue available for examination. The availability and accessibility of diseased patient tissue offers researchers an opportunity to study endogenous mechanisms within relevant genomic and cellular context. However, these approaches are limited by the fact that tissue is generally excised in patients with end-stage disease and does not capture early pathogenic events.
Despite histopathological changes being well characterized for FECD, such findings are yet to be effectively correlated with genotypes. Studies investigating whether histological differences exist between CTG18.1 expansion-positive and CTG18.1 expansion-negative FECD cohorts, or whether correlations exist between CTG18.1 expansion length and zygosity status have not been performed. As our understanding of pathogenic mechanisms develops, it is anticipated that surgically explanted tissue will be valuable to understand and validate disease mechanisms. It is also anticipated that investigating biomarker distributions (e.g. foci occurrence) across varying cell types within and beyond the eye may help explain the tissue specificity of the disease.
4.2. Human corneal endothelial cell lines
Numerous studies have utilized patient-derived primary and immortalised corneal endothelial cell lines to study FECD disease mechanisms and test targeted therapies (Fig. 8A and B) (Du et al., 2015; Hatou and Shimmura, 2019; Mootha et al., 2015; Peh et al., 2015; Zarouchlioti et al., 2018). These cell lines have enabled researchers to investigate the downstream cellular consequences of the CTG18.1 expansion within a relevant genomic and cellular context. Patient-derived corneal endothelial cell lines offer a clear advantage when compared to the adaptation of cellular or animal models that rely on overexpression of repeat elements within artificial genomic contexts and cellular re-programming that cannot fully account for the age-related and cell-type dependent aspects of the disease aetiology.
Primary corneal endothelial cell cultures maintain many in vivo properties with respect to their morphology, transcriptome profiles and behaviour (Fig. 8C). Likewise, corneal endothelial cell lines derived from CTG18.1 expansion-mediated FECD have RNA foci and display many of the aberrantly regulated splicing events that have been described in corneal endothelial tissue (Fig. 8D and E). Given that human adult corneal endothelial cells in vivo are largely non-proliferative cells arrested in the G1 phase of the cell cycle, primary culture methods have been developed to enhance their proliferation while still maintaining endogenous properties of the cells (Joyce et al., 2002; Peh et al., 2015). Nonetheless, primary corneal endothelial cell lines have minimal proliferative capacity and in general can only be used for a finite number of passages and experiments, making their general use labour intensive and limited. Furthermore, any experimental approach that requires a large number of cells is not feasible in this system (Peh et al., 2015; Zarouchlioti et al., 2018). Immortalization of corneal endothelial cell cultures overcomes these hurdles but, in the process, loses some of the morphology and transcriptome profiles of innate corneal endothelial cells. On this basis alone, they have limited utility for experimental approaches that require endogenous corneal endothelial cell properties to be maintained. Nevertheless, immortalised cell lines will still likely continue to prove valuable for more high-throughput screening approaches (Hu et al., 2018, 2019).
A global shortage of appropriate donor tissue to treat corneal endothelial cell failure is driving an international effort to develop protocols that enable transplant grade corneal endothelial cell monolayers from induced pluripotent stem (iPS) cells and embryonic stem (ES) cells. To date, a variety of approaches have been published, exhibiting varying levels of success (Chen et al., 2015; McCabe et al., 2015; Wagoner et al., 2018; Zhang et al., 2014). Using the method by McCabe et al., we recently derived corneal endothelial cells from iPS cells with the aim of modelling the transcriptome effects of an FECD disease-associated SLC4A11 variant (Brejchova et al., 2019). Despite being able to analyse the corneal endothelial cell-specific effects of the SLC4A11 variant on pre-mRNA splicing, we were only successful in culturing mixed cell populations using this protocol. Currently, development of stem cell derived corneal endothelial-like cells is hindered by the lack of specific corneal endothelial cell markers and the inability to derive and characterize homogenous cell populations (Hatou and Shimmura, 2019). As development of stem cell-derived corneal endothelial-like cells advances, it is anticipated that these cells will offer researchers useful tools to model FECD disease mechanisms and test novel therapies.
4.3. CTG18.1 expansion-associated animal models of FECD
The relative and differing contributions that TCF4 expression, RNA toxicity, RAN translation and somatic and age-dependent repeat instability may have on FECD pathophysiology are not fully understood (Fig. 3). Unfortunately, there currently are no validated animal models harbouring CTG18.1 expansion for studying these mechanisms in vivo. Development of animal models will likely be critical for delineating the pathological mechanisms associated with CTG18.1 expansion-mediated FECD. In other repeat-associated human diseases, animal models have proven to be an effective way to dissect the relative contributions and differential involvements of alternative disease mechanisms (Balendra and Isaacs, 2018; DeJesus-Hernandez et al., 2011; Renton et al., 2011). However, until a CTG18.1 expansion-mediated FECD model is developed and characterized, the research community must rely on tissue and cell cultures to examine pathological mechanisms.
For the development of CTG18.1 expansion-mediated FECD animal models, several factors must be taken into consideration. First, because CTG18.1 expansion-mediated FECD is an age-related disease, it is important that appropriate strains are utilized. For example, some mouse strains such as C57BL/6N contain genomic mutations that cause retinal degeneration. Utilizing such a mouse strain to develop an FECD model would not be appropriate as the animals develop ocular abnormalities that would complicate interpretation of ocular pathophysiology late in life. Second, despite TCF4 being highly conserved, the syntenic non-coding region in the mouse genome does not contain a CTG repeat, and therefore ‘humanised’ knock-in models will need to be developed to introduce the repeat sequence. Once this has been established, significant characterization of such a model will be required to verify that it produces expression profiles similar to those found in humans. Recent collaborations between the University of Minnesota and our research team have been successful in the technical aspects of creating such a mouse, but long-term assessment of this potential model will be required to determine if any FECD-associated features develop. Targeted isoform-specific knockdown approaches, overexpression systems dissecting different components of RNA-toxicity, and RAN peptides using cell and animal models, may also provide useful insights into CTG18.1 expansion-mediated FECD disease mechanisms.
5. Development of treatments for CTG18.1 expansion-mediated FECD
Corneal transplantation is the primary surgical treatment option for FECD, irrespective of genetic causes or associations. Due to a global shortage of suitable donor tissues, there is a clinical imperative for alternative, and ideally preventative, therapies to be developed for this common and age-related disease. Even with the variation in incidence between FECD and CTG18.1 expansion across ethnic groups, the CTG18.1 expansion is by far the most common genetic variant identified in FECD patients; thus therapies designed to target the pathogenic features of this genetic-subtype will offer benefit to a large number of individuals. For this ambition to be realised, future research efforts need to be invested in improving detection of early disease, in parallel with developing CTG18.1 expansion-targeted therapies. In this section, we briefly summarise available FECD treatments, expand upon the significance and challenges of early disease detection, and lastly highlight emerging trinucleotide repeat-targeted therapies of relevance to CTG18.1 expansion-mediated FECD.
5.1. Current treatments for FECD
Corneal transplantation is the preferred treatment option for moderate to advanced FECD disease. Prior to surgery, hypertonic saline (5%) drops or ointment are typically prescribed to draw fluid from the cornea which can reduce the duration of visual blur when applied after wakening (Bourne, 1985; Foulks, 1981; Grayson, 1983). Corneal transplantation removes the thickened and distorted Descemet membrane layer and replaces it with healthy donor tissue with a high endothelial cell density (donor cell density >2000 cells/mm2). Until recently, penetrating keratoplasty which involves the removal of all central layers of the cornea was the standard procedure to treat FECD patients. It is a technically successful surgery but has a long visual rehabilitation period, a high probability of significant residual refractive error, and increased susceptibility of the eye to subsequent trauma (Christo et al., 2001; Forstot et al., 1975; Foulks, 1981; Mannis et al., 1997; Meyer and Bobb, 1980; Price et al., 1994; Purcell et al., 1982; Thompson et al., 2003). Currently, endothelial keratoplasty, which selectively replaces only the posterior diseased corneal tissue, is the preferred option because the visual rehabilitation time is significantly shorter than after a penetrating keratoplasty with a predictable residual refractive error (Chen et al., 2008; Patel, 2012; Patel et al., 2009; Price and Price, 2005; Price et al., 2009).
All types of corneal transplantation require access to donor material that is viable and safe to use. This involves consent and retrieval of eye tissue, screening the donor and tissue for possible transmission of microbial contaminants, and appropriate storage prior to distribution. Barriers exist at each stage of the process including reluctance of potential donors to participate in eye donation and the capital expenditure of a central eye bank. It has been estimated that worldwide only one individual in 70 with blinding corneal disease has access to suitable donor material for transplantation (Gain et al., 2016). Given the age-related nature of FECD and the increasing population over 60 years of age, it is likely that the number of individuals who develop visually significant FECD will increase. This anticipated rise in incidence is predicted to further increase global demands for donor tissue. In light of this, international efforts are underway to develop and cultivate in vitro transplant-grade human corneal endothelial cells that can be used to reseed the corneal endothelium and overcome the reliance on donor corneal tissue for transplant surgeries [for review see (Okumura and Koizumi, 2020)]. While the success of this approach is still unknown, it underscores the need for innovative alternative FECD therapies to be developed.
5.2. Challenges and opportunities associated with early disease detection
The desirable paradigm for future FECD therapies is for preventative treatments to be administered before significant abnormalities of Descemet membrane and endothelial cell loss have occurred. For this approach to be successful, it will entail screening of the population at risk. In vivo imaging modalities such as retroillumination photography or microscopic imaging of the endothelial layer by specular microscopy or confocal microscopy could be employed to broaden the reach of screening programs (see Fig. 1 for image examples). Additionally, given the strong association of CTG18.1 repeat length and FECD, genetic screening of this repetitive element early in life could be adopted as part of routine healthcare practice. However, the argument for implementing screening of CTG18.1 on a population wide scale will likely only become compelling once effective preventative treatment strategies are developed. A combined screening approach involving image analysis with genetic screening, alongside family history of the disease, will likely provide the most comprehensive way to identify patients with early signs of disease that would most benefit from preventative treatments.
5.3. Development of CTG18.1 expansion-directed gene editing
Understanding the pathophysiology of CTG18.1 expansion-mediated FECD will provide the information necessary to develop therapies directed at preventing or delaying pathogenic mechanisms leading to disease. These may include therapies targeted at the genomic level. CRISPR-Cas9 mediated gene editing techniques have become wide-spread over the past few years, and multiple studies have investigated its therapeutic potential for repeat expansion-mediated diseases [see review (Babacic et al., 2019)]. While studies characterizing the effect of genetic editing of the expanded CTG18.1 repeat are yet to be published, the use of targeted deactivated Cas9 to impede repeat transcription in DM1 cells has been shown to diminish the number of repeat containing RNA transcripts in vitro, reducing RNA foci frequency and curtailing aberrantly regulated pre-mRNA splicing events (Pinto et al., 2017). This result is encouraging and conceivably can be tested in vitro in primary or immortalised corneal endothelial cells derived from FECD patients. It is reasonable to speculate that reducing the repeat size may eliminate or reduce the presence of RNA foci, re-establishing normal splicing patterns, and in theory, return the cells to their non-diseased state (Fig. 9A). This approach would be most beneficial in FECD patients with early diagnosis and mild disease. However, it may not be effective as a standalone therapy in moderate and severe disease because it would only treat the remaining corneal endothelial cells. Because loss of corneal endothelial cells is a characteristic of advanced FECD, these patients would likely still require corneal tissue or corneal endothelial cell transplantation to increase numbers so that they can function to appropriately maintain corneal deturgescence.
While gene editing for FECD may appear futuristic at this time, significant progress for its use as a therapeutic for ophthalmic disorders is making its way to the clinic. A phase 1 CRISPR-Cas9 gene therapy clinical trial for Leber Congenital Amaurosis began in 2019 and the first patient has received in vivo therapy to correct a single point mutation within the photoreceptors of the retina (https://www.clinicaltrials.gov/ct2/show/NCT03872479?term=NCT%2303872479&rank=1). As the community waits to hear the success of such an approach, it is important to note that as of publication of this review, no CRISPR-Cas9 based genetic therapies have been approved for use in the clinic. Only one clinical trial performed in the United States has successfully demonstrated an effective use of CRISPR-Cas9 engineered cells, albeit in only 3 cancer patients (Stadtmauer et al., 2020). While this avenue of research and potential therapeutic use appears promising, all gene-editing based approaches need to proceed with caution as lack of specificity of the editing tools used to cleave at precise genomic targets raises questions about their in vivo safety (El-Kenawy et al., 2019).
5.4. Development of CTG18.1 expansion-directed therapeutics
In addition to gene editing, modifying agents engineered to disrupt RNA foci formation and MBNL1 sequestration may serve as effective therapeutic strategies for CTG18.1 expansion-mediated FECD (Fig. 9B) (Babacic et al., 2019; Du et al., 2015; Hu et al., 2018, 2019; Pinto et al., 2017; Zarouchlioti et al., 2018). We and others have published several proof-of-concept studies testing the therapeutic potential of antisense oligonucleotides to either block RNA foci from sequestering RNA binding proteins or to degrade them directly (Hu et al., 2018, 2019; Zarouchlioti et al., 2018). These studies have yielded promising effects on downstream features of RNA toxicity within various FECD patient-derived immortalised and primary corneal endothelial cell model systems. However, it is yet to be established if these promising results will be of therapeutic benefit in vivo. It must be kept in mind that patients with a CTG18.1 expansion but no FECD may also have RNA foci in the corneal endothelium, so at least in some patients, altering the number of RNA foci may not be the appropriate target. Future studies testing the efficacy of antisense oligonucleotides aimed at silencing toxic RNA species will be important to understand their potential utility as CTG18.1 expansion-mediated FECD therapeutics for the clinic.
Another target for FECD therapeutic development may be aimed at increasing levels of RNA binding proteins that are sequestered by the CTG18.1 containing RNA foci (Fig. 9C). Given the established link between depleted levels of functional MBNL1 and dysregulated pre-mRNA splicing in CTG18.1 expansion-mediated FECD, it is reasonable to hypothesize that increasing RNA binding proteins such as MBNL1 within the corneal endothelium may have therapeutic benefit. Such an approach has proved successful in reversing RNA mis-splicing and myotonia in mouse models of DM1 (Chamberlain and Ranum, 2012; Kanadia et al., 2006). However, this result is not ubiquitous amongst DM1 mouse models as MBNL1 overexpression has also been reported not to improve skeletal muscle function, cardiac conduction or myotonia within the model, despite rescuing some dysregulated pre-mRNA splicing events linked with depletion of MBNL1 (Yadava et al., 2019).
In addition to the opportunities listed above, several studies have identified small molecules which target and bind RNA hairpins created by repeat expansions (Fig. 9D). Doxorubicin, a nucleic acid intercalating drug was recently shown to effectively disrupt RNA foci in DM1 patient-derived cells (Jain and Vale, 2017). Other agents, such as pentamidine (Chakraborty et al., 2015), furamidine (Jenquin et al., 2018, 2019) and engineered small molecules (Angelbello et al., 2019, 2020; Li et al., 2018; Luu et al., 2016; Reddy et al., 2019; Rzuczek et al., 2017) have shown significant improvement in pathogenic features of CTG repeat expansion-mediated disease in cell and animal models of DM1. It will be interesting to see if similar approaches utilizing FECD-derived corneal endothelial cells and animal models of CTG18.1 expansion-mediated FECD prove to be of therapeutic benefit.
5.5. Other FECD therapeutic opportunities
The evidence supporting a role for RAN translation and the potential for these small peptides to induce cellular toxicity in FECD is another area for therapeutic development (Fig. 9E). Studies investigating potential therapies to ameliorate the negative effects of the resultant RAN peptides have been conducted in other repeat expansion-associated diseases such as C9ORF72 ALS/FTD and SCA8 (Cristofani et al., 2018; Nguyen et al., 2020). These studies involve immunotherapy directed at the RAN peptides and overexpression of chaperones such as small heat shock protein B8 which mediates autophagy of aggregated proteins. These methods have shown positive effects in cells and animal models containing C9orf72 repeat expansions. Other studies have examined modifying effectors of RAN-mediated nucleocytoplasmic transport to inhibit cytotoxicity due to the aggregation and accumulation of RAN peptides (Boeynaems et al., 2016; Jovicic et al., 2015; Zhang et al., 2015). If future studies confirm RAN translation to be a significant driver of CTG18.1 expansion-mediated FECD pathology, similar therapeutic approaches can be explored.
In a range of repeat-mediated diseases, including Huntington's disease and DM1, polymorphisms within genes encoding DNA mismatch repair regulators have been identified that act as trans-acting genetic modifiers of disease onset and progression to modify somatic instability rates (Ciosi et al., 2019; Morales et al., 2016). Therapeutic manipulation of such polymorphisms or components of DNA mismatch repair pathways are therefore a current area of interest with broad relevance for all repeat mediated disease (Fig. 9F). Notably, a small molecule naphthyridine-azaquinolone has recently been demonstrated to specifically bind the expanded CAG-repeat tracts that cause polyglutamine diseases in Huntington's disease, thereby preventing expansion and encouraging repeat contraction (Nakamori et al., 2020; Nakano et al., 2015). If somatic expansion of CTG18.1 is proven to influence FECD age-of-onset and/or disease progression rates, therapeutic approaches involving repeat structure-specific DNA ligands could also be applicable for FECD.
Regardless of the type of therapy, tissue-specific delivery of the compounds will likely be required to minimise exposure of the given drug to healthy cell types and reduce potential side effects. The localised nature and relative accessibility of the corneal endothelium should enable this goal to be achievable. Non-invasive topical eye drops would likely be the preferred route for drug administration, especially if regular dosing is required. However, this route will require compounds to penetrate the corneal epithelium and stroma to reach the endothelial cells. Furthermore, risks associated with exposure to non-specific cell types or tissues outside of the eye (corneal epithelium, tear ducts, bulbar conjunctiva, inner eyelid) and within the eye (corneal stroma, lens, iris, ciliary body and aqueous outflow pathway) will all need to be addressed.
6. Future perspectives
Now that the association between the CTG18.1 expansion and FECD is well established, additional research efforts are required to further probe and understand the key molecular drivers responsible for the disease. Furthermore, future efforts to enhance rates of early disease detection will be paramount to support development of preventative therapies. This section will briefly touch upon some of the outstanding questions that need to be addressed to advance understanding of the mechanisms involved in CTG18.1 expansion-mediated FECD and facilitate the design and development of effective CTG18.1-targeted therapies.
6.1. Why is the corneal endothelium specifically vulnerable to CTG18.1 expansion?
The only recognized impact of CTG18.1 expansion on health has been FECD, although altered hearing in undifferentiated FECD patients has been described (Reed et al., 2018; Stehouwer et al., 2011). Other systemic implications of CTG18.1 expansions have not been thoroughly evaluated, so there remains the possibility of clinically important correlations, considering TCF4 is a widely expressed gene. We do know that expansion of the CTG18.1 repeat sequence impacts the health of the corneal endothelium. However, we do not understand the reason for this tissue-specific effect of CTG18.1 expansions and further research is required to address this important question. As mentioned previously, all CTG18.1 genotyping studies performed to date have used leukocyte-derived DNA to genotype the repeat element; due to technical need for high input genomic DNA which is not feasible in corneal endothelial tissue. It is conceivable that expanded copies of the repeat element within affected corneal endothelial cells are prone to high rates of age-dependent instability, and thus typically contain much larger repeats than patient-matched leukocytes. This has been a characteristic of several repeat expansion disorders. For example, patients with DM1 have repeat expansion sizes in the thousands within DMPK in muscle when compared to <250 in blood (Anvret et al., 1993). Additionally, DM1 patients have diverse phenotypes depending on the size of the DMPK repeat, with more severe phenotypes correlating to larger repeat expansions in muscle (De Antonio et al., 2016; Dogan et al., 2016; Harper et al., 1992; Jansen et al., 1994; Kinoshita et al., 1996). Current studies also suggest a positive correlation between CTG18.1 repeat size and FECD severity (Eghrari et al., 2017b; Soh et al., 2019, 2020; Soliman et al., 2015), despite these studies only investigating leukocyte specific repeat size. Once the technological advances are in place to interrogate CTG18.1 repeat size within the affected corneal endothelium, it will be important to understand how and if tissue-specific accelerated rates of expansion occur within the corneal endothelium and if so, whether instability rates correlate with disease severity and/or onset.
Another important area of investigation that has only briefly been examined is whether individuals with other repeat expansion diseases are susceptible to FECD. Two independent studies have reported that FECD is a common feature of patients with DM1 in the absence of CTG18.1 expansion suggesting that the presence of a non-coding CTG repeat, regardless of its genomic context (i.e. within TCF4 or DMPK) may be sufficient to cause FECD (Mootha et al., 2017; Winkler et al., 2018). Notably, the presence of FECD in some DM1 families appeared to segregate, further suggesting that FECD is potentially an unrecognised feature of DM1 (Winkler et al., 2018). Additional studies in larger DM1 cohorts are now required to further validate this finding. If confirmed, it would suggest the interesting possibility that expression of expanded CTG repeats, irrespective of genomic context, contribute to the development of FECD via shared pathogenic mechanisms.
6.2. Why is CTG18.1-mediated FECD associated with incomplete penetrance and variable expressivity?
Despite the overwhelming evidence for CTG18.1 expansion being a strong risk factor for FECD, we have limited insight regarding the incomplete penetrance and variable expression of the disease. It has been established in different ethnicities that CTG18.1 expansion is present at low levels in control populations (Table 2) and small cohorts of aged individuals in absence of disease (Del-Favero et al., 2002; Foja et al., 2017; Kuot et al., 2017; Luther et al., 2016; Mootha et al., 2014; Nakano et al., 2015; Nanda et al., 2014; Okumura et al., 2019c; Rao et al., 2017; Skorodumova et al., 2018; Vasanth et al., 2015; Wieben et al., 2012; Xing et al., 2014; Zarouchlioti et al., 2018). While some proportion of these control patients may develop FECD later in life, it is clear that some individuals with a CTG18.1 repeat expansion do not. Even within families, penetrance can be incomplete. For example, we identified one family in our cohort where an unaffected father in his 90's was heterozygous with a CTG18.1 expansion allele containing >2500 repeats (in lymphocytes), but had a daughter with a smaller bi-allelic expansion (85 repeats) who developed FECD in her 50's (unpublished data). Whether the presence of CTG18.1 expansion on both alleles is an indicator of earlier disease and disease severity is currently unknown. Only 4.7% and 7.3% of FECD patients recruited at Moorfields Eye Hospital and the Mayo Clinic respectively have been identified with bi-allelic CTG18.1 expansion (unpublished). In our experience, these individuals do not generally present earlier or have more severe disease when compared to subjects harbouring mono-allelic CTG18.1 expansion, however, additional studies are necessary to more comprehensively address this question.
Other mechanisms may also affect FECD penetrance and expressivity. Somatic instability between the affected/non-affected tissues and interruptions within the repeat sequence have both been shown to influence the onset and expressivity of several repeat-mediated diseases (Consortium, 2019; Eichler et al., 1994; Lopez Castel et al., 2011; Mason et al., 2014; Mornet et al., 1996; Santoro et al., 2017). While the need for high genomic DNA input requirements of long-read non-amplification-dependant sequencing technologies currently precludes the measurement of repeat size and instability determination in corneal endothelial cells (discussed in section 2.5), we have used this technique to investigate repeat interruptions and the adjacent CCT repeat motif in leukocyte genomic DNA isolated from individuals (n = 5) harbouring a CTG18.1 repeat expansion but no disease (Wieben et al., 2019a). Our preliminary analysis did not identify any changes in the repeat sequence that would explain why these patients do not get FECD, but it did show the potential value of this technique for addressing this question. Given that our initial investigation was limited, additional studies with greater sample sizes are needed to further examine whether interruptions or polymorphisms encompassed within CTG18.1 expansion sequences influence the expressivity of FECD disease.
6.3. Why do women have a predilection for FECD?
Another important aspect of disease variation is the recognized fact that women more commonly express FECD and in general have more severe clinical presentation. This trend is consistent across diverse populations and holds true for groups with and without CTG18.1 repeat expansion (Kuot et al., 2017; Nakano et al., 2015; Nanda et al., 2014; Okumura et al., 2019c; Rao et al., 2017; Skorodumova et al., 2018; Soliman et al., 2015; Vasanth et al., 2015; Wieben et al., 2012; Zarouchlioti et al., 2018). While our current understanding of FECD lends essentially no insight into this observation, several possible explanations exist. These include hormone-related mechanisms, the interplay of other genetic variants either within the TCF4 gene or other genes, epigenetic factors, environmental influence, and increased life span. For a comprehensive review of FECD female predominance see Ong Tone et al., (2020) (Ong Tone et al., 2020). Understanding the aetiology that underlies the female preponderance for the disease may very well direct the future pursuit of pathogenic mechanisms and therapeutic targets.
6.4. What impact does environment have on incomplete penetrance and expressivity of FECD?
In addition to the genetic background of individuals, environmental factors are also likely to influence phenotypic expression of FECD. Smoking has been suggested to double the risk of developing cornea guttae (Zoega et al., 2006) and increase the risk of FECD by 30% (Zhang et al., 2014). Exposure to ultraviolet light has also been suggested as an environmental risk factor for FECD. Recently, exposure of mouse corneas to ultraviolet A light resulted in the development of a non-genetic FECD-like model of the disease. These animals developed corneal edema, loss of corneal endothelial cells and at the molecular level, had an increase in mitochondrial nuclear DNA damage (Liu et al., 2020). Interestingly, female mice had more severe disease than male mice which is similar to human FECD. Further investigation of this model and the impact of other environment factors will be necessary to identify risk factors associated with FECD pathogenesis.
The impact of environmental risk factors on disease has most closely been associated with an increase in oxidative stress. Oxidative stress occurs when the presence of free radicals is in excess to the number of antioxidants, causing a toxic environment that can be harmful to the surrounding cells and tissues. Several lines of evidence support chronic oxidative stress as an underlying mechanism in FECD pathogenesis (Jurkunas, 2018; Ong Tone et al., 2020). Elevated free radicals such as advanced glycation end products, peroxynitrite and lipid peroxidation have been identified in FECD corneas and Descemet's membranes (Buddi et al., 2002; Jurkunas et al., 2010; Wang et al., 2007). Smokers and individuals with increased exposure to ultraviolet light have both been found to have increased levels of reactive oxygen species and decrease antioxidants in aqueous humour and ocular tissues (Cheng et al., 2000; Liu et al., 2016, 2020; Solberg et al., 1998; Zinflou and Rochette, 2017). It is interesting that dysregulation of oxidative stress defences are commonly found in DNA repeat expansion diseases (Browne and Beal, 2006; Cotticelli et al., 2013; Ihara et al., 1995; Maiuri et al., 2019; Ranganathan et al., 2009; Song et al., 2016; Stucki et al., 2016). Furthermore, oxidative stress can also influence repeat expansion length (Chatterjee et al., 2015). If it is found that FECD corneal endothelial cells have a larger CTG18.1 repeat expansion than what is found in leukocytes, the somatic instability within these cells may be attributed in part to environmental influences. Expansion of research efforts in this area is necessary to understand the underlying aetiology in FECD.
6.5. What are the key pathogenic underlying mechanisms associated with CTG18.1 expansion-mediated FECD?
A number of molecular mechanisms have been proposed that may be involved in the pathophysiology of CTG18.1 expansion-mediated FECD (Fig. 3). Future insights and mechanistic parallels will continue to be drawn from the non-coding repeat-mediated diseases field. For example, the non-coding hexanucleotide GGGGCC repeat expansion in C9orf72 is recognized to be the most frequent genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) in Europe and North America (DeJesus-Hernandez et al., 2011; Renton et al., 2011). Three non-mutually exclusive disease mechanisms have been proposed to the underlying condition, similarly to CTG18.1 expansion-mediated FECD: (1) loss of C9orf72 protein function, (2) toxic gain-of-function from repeat-associated RNA transcripts, and/or (3) repeat associated RAN translation of toxic gain-of-function dipeptide repeat proteins (Balendra and Isaacs, 2018). Future research efforts are needed to continue to dissect out the relative contributions of such mechanisms to FECD pathophysiology.
Several cellular biomarkers of CTG18.1 expansion status have now been well characterised including the accumulation of RNA aggregates within affected patient-derived cells, sequestration of MBNL proteins to the foci and a diverse pattern of dysregulated pre-mRNA splicing events. Furthermore, headway has been made to establish the presence of RAN-derived polypeptides within CTG18.1 expansion-positive tissues. While it can be hypothesised how these biomarkers are toxic leading to cellular dysfunction, the relative contribution of the events to FECD development and progression are yet to be established. It is reasonable to postulate that such events may have a cumulative effect and it will take significant future research efforts to dissect their relative contributions.
The impact of CTG18.1 expansion on TCF4 expression in corneal endothelial cells is still unknown. Because TCF4 interacts with many bHLH proteins, it is conceivable that slight changes in the abundance of different isoforms could have significant impact on cell function. Before this can be assessed however, it will be important to identify which TCF4 transcripts are expressed in healthy corneal endothelium and how the distribution of different isoforms is affected by CTG18.1 expansion. This is not a trivial task as more than 90 different TCF4 transcripts have been identified. Future transcriptomic analysis of healthy and disease tissue will be essential to address this important question.
Identification of dysregulated transcriptomic and proteomic features specific to CTG18.1 expansion-mediated FECD should provide valuable insights into the disease. At least 25% of FECD individuals do not have expanded copies of CTG18.1 and the majority of these cases currently lack a molecular diagnosis. As for most genetically heterogeneous diseases, it is likely that specific genetic subtypes will harbour unique mechanism of dysregulation in addition to sharing converging common downstream features, given that all FECD cases with or without a CTG18.1 expansion experience the same phenotypic endpoint: presence of guttae and loss of corneal endothelial cells. We anticipate that this subgroup of individuals (i.e. FECD patients without CTG18.1 expansions) will enable researchers to further dissect and understand CTG18.1-specific molecular signatures of dysregulation from more generalised downstream features of disease common to all genetic subtypes.
6.6. Future therapies for FECD
The management of end-stage FECD has been revolutionized in developed countries by the introduction of endothelial keratoplasty that can rapidly and effectively restore vision. Unfortunately, this requires an ample supply of corneal tissue of which there is a global shortage (Gain et al., 2016). To address these concerns, investigators have started to assess the use of alternative approaches towards the treatment of FECD. Use of agents such as Rho kinase inhibitors has shown the ability to reduce central corneal edema (Koizumi et al., 2013; Okumura et al., 2013). Cell-based approaches that utilize injected cultured corneal endothelial cells [reviewed in (Ong Tone et al., 2020)] have shown the ability to improve the corneal clarity of patients with FECD for up to 3 years (Kinoshita et al., 2018). As these technologies progress, they will enable surgeons to remove the diseased corneal endothelial cells. While these approaches provide hope for the future, there are a number of obstacles to overcome before they can be utilized on a routine basis.
An obvious, yet underappreciated way to treat FECD is to have in place measures that detect the disease at an early stage. Prevention of end-stage disease may have the benefits of avoiding surgical risks, maintaining good vision in patients with mild to moderate disease who do not meet a surgical threshold, and redirecting a limited corneal donor supply to other areas of need. Developing a specific therapy that can be delivered easily, preferably topically, at a pre-symptomatic stage of the disease and assessing the safety and efficacy through clinical trials are challenges that must be addressed. Although the clinical identification of mild guttae can be achieved with routine slit lamp bio-microscopy, widely available clinical testing to differentiate CTG18.1 expansion-mediated FECD from other genetic variants does not exist. Evaluating disease progression in clinical trials will not be an easy task. Due to the slowly progressive nature of FECD, large and lengthy trials will be necessary to differentiate changes in the rate of progression between study groups. In addition to standard psychometric measurements of visual function (visual acuity, contract sensitivity, and glare), outcome metrics are likely to entail both anatomical variables that reflect the density of endothelial cells and guttae, and functional variables that relate to Na+/K+ ATPase pump function in corneal endothelial cells. Commonly used in vivo imaging of the corneal endothelial layer may be beneficial in some instances, but it also has limitations as the microscopic endothelial images suffer from sampling errors due to extreme variations in the density of guttae from the center to the periphery of the cornea. Better methods to assess anatomic disease severity need to be developed in order to efficiently identify individual guttae and cells so that accurate measurements of their density across the whole posterior corneal surface can occur. For functional testing, Scheimpflug imaging of the cornea may be useful to identify and classify stages of edema due to endothelial dysfunction (Sun et al., 2019). This type of imaging provides reproducible topography of corneal thickness across the majority of the cornea enabling mapping of thickness variation with resolution on the order of several microns (Patel et al., 2020). Studies utilizing Scheimpflug imaging have not yet been performed in cohorts of genotyped FECD patients, with and without CTG18.1 expansion or correlated with CTG18.1 length or zygosity status. If future phenotype-genotype correlations are found to emerge from use of this imaging modality, future application of this technology will likely aid the advancement of diagnostic and therapeutic approaches.
7. Concluding remarks
Over the past decade, significant progress has been made in defining the association between CTG18.1 expansion and FECD, in addition to identifying potential mechanisms that may underlie the disease. It is conceivable that no single mechanism but a combination of the mechanisms described herein and ones yet to be identified collectively drive FECD pathogenesis. Continued research over the coming years is necessary to increase our understanding of how these mechanisms contribute to disease pathophysiology. Development of animal models that recapitulate the disease phenotype and new imaging modalities that diagnose disease at an earlier stage are also anticipated to help identify and confirm novel therapeutic strategies. This will not be trivial given the possibility that multiple molecular drivers may be involved in disease formation. However, as our knowledge of CTG18.1 expansion-mediated FECD pathophysiology continues to advance, paralogous and increasingly promising avenues of research are anticipated that should promote development of novel preventative therapies.
Author contributions
MPF, EDW, KHB, NB, ANS, NJHT, SJT and AED – literature searches, compilation of figures and tables, writing and editing of the manuscript.
Declaration of competing interest
MPF, EDW, KHB, NB, ANS, NJHT, SJT – no conflicts of interest.
AED is a member of Triplet Therapeutics Scientific Advisory board. Research conducted in AED's laboratory is partly funded by ProQR Therapeutics.
Acknowledgements
The research was supported in part by National Institute for Health Research (NIHR) Biomedical Research Centre based at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology (AED, SJT); NIH grant EY26490 (MPF); Robert Waller Career Development Award (KHB); Mayo Foundation (MPF, EDW, KHB); UK Research and Innovation Future Leader Fellowship Award (AED); National Eye Research Centre UK (AED, SJT, ANS); Fight for Sight UK (AED); Rosetrees Trust (AED, SJT, ANS), Moorfields Eye Charity UK (AED, ST, NJHT). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Contributor Information
Michael P. Fautsch, Email: fautsch@mayo.edu, fautsch.michael@mayo.edu.
Eric D. Wieben, Email: wieben.eric@mayo.edu.
Keith H. Baratz, Email: baratz.keith@mayo.edu.
Nihar Bhattacharyya, Email: n.bhattacharyya@ucl.ac.uk.
Amanda N. Sadan, Email: amanda.sadan.18@ucl.ac.uk.
Nathaniel J. Hafford-Tear, Email: n.tear@ucl.ac.uk.
Stephen J. Tuft, Email: stephen.tuft@nhs.net.
Alice E. Davidson, Email: alice.davidson@ucl.ac.uk.
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