Next Article in Journal
Ectopic Expression of AhGLK1b (GOLDEN2-like Transcription Factor) in Arabidopsis Confers Dual Resistance to Fungal and Bacterial Pathogens
Next Article in Special Issue
Targeted Next-Generation Sequencing in a Large Cohort of Genetically Undiagnosed Patients with Neuromuscular Disorders in Spain
Previous Article in Journal
Intracellular Communication among Morphogen Signaling Pathways during Vertebrate Body Plan Formation
Previous Article in Special Issue
Predominance of Dystrophinopathy Genotypes in Mexican Male Patients Presenting as Muscular Dystrophy with A Normal Multiplex Polymerase Chain Reaction DMD Gene Result: A Study Including Targeted Next-Generation Sequencing
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Genes
Volume 11
Issue 3
10.3390/genes11030342
genes-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

CRISPR-Generated Animal Models of Duchenne Muscular Dystrophy

by
Kenji Rowel Q. Lim
1,
Quynh Nguyen
1,
Kasia Dzierlega
1,
Yiqing Huang
1 and
Toshifumi Yokota
1,2,*
1
Department of Medical Genetics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2H7, Canada
2
The Friends of Garrett Cumming Research & Muscular Dystrophy Canada, HM Toupin Neurological Science Research Chair, Edmonton, AB T6G 2H7, Canada
*
Author to whom correspondence should be addressed.
Genes 2020, 11(3), 342; https://0-doi-org.brum.beds.ac.uk/10.3390/genes11030342
Submission received: 2 March 2020 / Revised: 21 March 2020 / Accepted: 23 March 2020 / Published: 24 March 2020
(This article belongs to the Special Issue Genetic Advances in Neuromuscular Disorders: From Gene Identification to Gene Therapy)
Browse Figure
Versions Notes

Abstract

:
Duchenne muscular dystrophy (DMD) is a fatal X-linked recessive neuromuscular disorder most commonly caused by mutations disrupting the reading frame of the dystrophin (DMD) gene. DMD codes for dystrophin, which is critical for maintaining the integrity of muscle cell membranes. Without dystrophin, muscle cells receive heightened mechanical stress, becoming more susceptible to damage. An active body of research continues to explore therapeutic treatments for DMD as well as to further our understanding of the disease. These efforts rely on having reliable animal models that accurately recapitulate disease presentation in humans. While current animal models of DMD have served this purpose well to some extent, each has its own limitations. To help overcome this, clustered regularly interspaced short palindromic repeat (CRISPR)-based technology has been extremely useful in creating novel animal models for DMD. This review focuses on animal models developed for DMD that have been created using CRISPR, their advantages and disadvantages as well as their applications in the DMD field.

1. Introduction

Duchenne muscular dystrophy (DMD) is a fatal X-linked recessive neuromuscular disorder characterized by progressive muscle degeneration and weakness [1]. DMD affects 1 in 3500–5000 males born worldwide, making it the most common inherited neuromuscular disorder [2,3]. DMD is caused by loss-of-function mutations in the dystrophin (DMD) gene which codes for a cytoskeletal protein called dystrophin [1,4]. Dystrophin functions via the dystrophin glycoprotein complex (DGC) to link the actin cytoskeleton of muscle cells to the extracellular matrix, providing mechanical support to myofibers during cycles of contraction and relaxation [5,6,7]. In the absence of dystrophin, myofibers become susceptible to tearing and fragmentation, resulting in muscle degeneration. Patients with DMD often present their first symptoms as early as 3–5 years of age [8,9]. The disease progresses rapidly, with muscle weakness and wasting observed initially in the proximal muscles, spreading distally. Patients experience multiple organ system dysfunction, and often lose their mobility by the age of 12 years [8,9]. Death usually occurs in the second or third decade of life due to respiratory and/or cardiac complications [10].
Currently, there is no cure for DMD. Animal models are available to investigate potential treatments for DMD, as well as to better understand its pathogenesis [11,12,13,14]. The majority of pre-clinical studies for candidate DMD therapies have been carried out in murine models, mostly the mdx mouse that carries a nonsense point mutation in Dmd exon 23 [15]. Genetic therapies that have been tested in these mouse models include micro/mini-dystrophin delivery, dystrophin transcript-level correction via stop codon read-through or exon skipping, and dystrophin gene repair via genome editing [16,17]. The first two strategies have moved on to clinical trials, with exon skipping being particularly successful. In fact, the first US FDA-approved therapeutic for DMD is an exon 51-skipping drug called eteplirsen (Exondys 51, Sarepta) [18]; this was followed by approval of the exon 53-skipping drug golodirsen (Vyondys 53, Sarepta) [19] approximately three years later. The use of canine models has been gaining ground as well, with a gene-editing therapy having been recently tested on dogs with an out-of-frame Dystrophin exon 50 deletion [20]. While these models have definitely advanced our efforts to treat DMD, they have their limitations. For instance, murine models do not faithfully recapitulate the phenotypes found in DMD patients [12,15,21]. The mdx mouse shows much milder phenotypes, with no severe cardiac involvement; lacks a pronounced effect of the disease on survival; has regenerative and compensatory mechanisms in response to dystrophin loss; and represents a single mutation out of the possible thousands found in patients [22,23,24,25,26]. Canine models exhibit phenotypes closer to patients. However, disease severity is extremely variable among littermates [27,28] and they are also limited by the number of available mutations for study. There is thus a need to develop new animal models to better represent both the phenotype and mutational spectrum of DMD.
Clustered regularly interspaced short palindromic repeat (CRISPR)-based technology has been recently adapted to create animal models for DMD, among other diseases [29]. CRISPR is a genome-editing tool adapted from the prokaryotic adaptive immune system [30]. When used with nucleases such as CRISPR-associated protein 9 (Cas9), CRISPR allows for the precise editing of virtually any target gene [31,32]. With such capabilities, CRISPR has revolutionized the DMD field, not only as an alternative therapeutic strategy for the disorder but also in providing new in vitro and in vivo DMD models [33]. Here, we aim to comprehensively review the DMD animal models that have been created so far using CRISPR. We describe each of these models and their applications, as well as their advantages and disadvantages. We conclude with some challenges and future prospects on the use of these in vivo models in the field.

2. Overview of Genome Editing by CRISPR

The discovery of CRISPR as an antiviral defense system in bacteria introduced large strides in genetic manipulation and molecular biology research [34]. Simply put, the CRISPR system is an RNA-guided endonuclease capable of introducing targeted mutations in the genome [35,36]. CRISPR specificity is achieved by designing guide RNAs (gRNAs) with sequence complementarity to the target locus. In the most common configuration of CRISPR presently used, these gRNAs are co-administered with the Cas gene or enzyme of choice, e.g., Cas9, to induce DNA double-strand breaks (DSBs) [35]. DNA DSBs are repaired either by non-homologous end joining (NHEJ) or homology-directed repair (HDR) for random or highly specific editing, respectively. The identification of target sequences by the gRNA–Cas complex is mediated by the recognition of protospacer adjacent motifs (PAMs). These conserved sequences must be located downstream of target sites, ensuring the precise nature of CRISPR/Cas activity [37].
Many CRISPR systems have been identified and adapted from different bacterial species, increasing the versatility of genome editing with the approach. For instance, numerous Cas9 variants have been discovered other than the widely used SpCas9 from Streptococcus pyogenes (Table 1). Not only does this expand the number of potential target sites for CRISPR-mediated genome editing, but also offers certain advantages over SpCas9, e.g., in terms of size and ease of packaging into viral vectors. Cas enzymes of other types and classes have also been studied, further enriching the capabilities of CRISPR editing. For instance, there is Cpf1, a class-2, type V CRISPR endonuclease that produces sticky ends after DNA DSB induction, requires shorter gRNAs, and has stricter PAM site requirements compared to Cas9 (class-2, type II).
Various studies have demonstrated the capacity of CRISPR to treat genetic diseases including cystic fibrosis, blood disorders, Huntington’s disease, cardiovascular disease and DMD [50,51,52,53,54]. However, CRISPR has notably also allowed for the construction of novel animal disease models [55]. The low cost and simplicity of the CRISPR/Cas system, along with its ability to efficiently create mutations at any genomic location in virtually any species, prove to be advantageous in the development of animal models for human diseases [56]. By introducing multiple gRNAs, CRISPR can target multiple loci simultaneously [57]. Successful generation of multiple mutations in animals was demonstrated by Wang et al. (2013), where they simultaneously introduced mutations in eight alleles [58]. The use of CRISPR also shortens the amount of time it takes to create a transgenic animal. Whereas the classical vector-mediated homologous recombination approach typically takes 1–2 years on average to generate transgenic mice, some applications of CRISPR can reduce this to 1–2 months [59,60]. All these improvements are made possible by the small number of reagents required (as little as two reagents—Cas9 mRNA/protein and gRNA—have to be microinjected into zygotes), the ease of reagent delivery (a direct microinjection), the high efficiency associated with CRISPR, and the bypassing of complex steps that characterized earlier methods of transgenic animal creation, such as the need for using embryonic stem cells and extensive breeding strategies [58,61,62]. Animal model development by CRISPR, therefore, presents numerous advantages over traditional methods, allowing for the study of disease mechanisms and potential treatments. In an earlier paper, we have extensively reviewed the utility of CRISPR in developing genome-editing therapies for DMD [33]. Now, we review how CRISPR has been used to generate animal models of DMD.

3. DMD Animal Models Generated by CRISPR-Mediated Genome Editing

Table 2 summarizes the CRISPR-generated DMD animal models discussed in this section, and Table 3 provides a general overview of each of their advantages and disadvantages. These models were generated through a variety of approaches, including the deletion of one or more exons, as well as the introduction of frameshift or point mutations within exons (Figure 1).

3.1. Mouse

To overcome the challenges mentioned earlier on use of the mdx mouse, particularly with regard to its mild phenotype, numerous groups have developed DMD mouse models of their own by either crossing the mdx mutation to other strains of mice, using chemical mutagenesis to generate new mutations in other regions of the Dmd gene, or by generating targeted disruptions or a total knockout of the gene [24]. For instance, so-called “double knockout” or dKO mice deficient in both dystrophin and its homolog utrophin (mdx; utrn-/-) have been developed, which show much more severe phenotypes than the regular mdx mouse, including decreased cardiac function and survival [26,70]. Continuing these efforts, CRISPR offers more versatility, efficiency, and simplicity in the creation of new DMD mouse models. The ability of CRISPR to expand the number of mutations that can be modelled in vivo is also especially helpful for the development of personalized therapies such as exon skipping or genome editing, which requires specific mutation backgrounds for testing.
DMD mouse models carrying deletions, frameshifting mutations, a point mutation, and a mutant version of the human DMD gene have been generated through CRISPR. Amoasii et al. (2017) created a model carrying an out-of-frame deletion of Dmd exon 50 [64]. Male ΔEx50 mice showed an overall absence of dystrophin in skeletal and cardiac muscles through Western blot and immunostaining, with few revertant fibers (RFs). Skeletal muscle necrosis was observed by histology at 3 weeks of age. At 2 months, elevated serum creatine kinase (CK) levels, a significant increase in the percentage of centrally nucleated fibers (CNFs), and a significant decrease in forelimb grip strength by ~50% were found in male ΔEx50 mice compared to wild-type controls. Symptoms were similar to those in mdx mice. Two years later, the same group created a variant of this model with a luciferase construct at the 3′ end of the mutant ΔEx50 Dmd gene [69]. In these ΔEx50-Dmd-Luc mice, an autocatalytic reaction releases luciferase from the rest of the dystrophin protein soon after translation. Aside from having similar dystrophic phenotypes as the ΔEx50 mice, this model allows for the non-invasive monitoring of dystrophin rescue, which is useful for treatment time-course studies or better understanding the pharmacological properties of DMD therapeutics. Both models have been used for testing CRISPR therapies aiming to reframe or skip exon 51 [64,69].
The ΔEx44 mouse by Min et al. (2019) is another DMD model made by CRISPR, this one having exon 44 removed instead [67]. Dystrophin was not detected through Western blot and immunostaining in the examined skeletal muscles as well as the heart. By 4 weeks of age, typical dystrophic features were observed by histology in male ΔEx44 mice, including a significant increase in serum CK levels compared to wild-type controls. Specific force of the extensor digitorum longus (EDL) and forelimb grip strength were both significantly reduced by ~50% versus wild-type. Along with the ΔEx50 mouse, the ΔEx44 model can be used for testing exon-skipping or genome-editing therapies targeting the distal exon 43–55 mutation hotspot of the Dmd gene. As for testing therapies for the proximal exon 1–22 mutation hotspot, the ΔEx8-34 (or DMDdel8-34) mouse model made by Egorova et al. (2019) could be used. This model had a similar phenotype as the mdx mice, with an absence of dystrophin in the tibialis anterior (TA) as well as significant decreases in muscle function, significant increases in serum CK levels, and significant dystrophic histopathology as early as 2–3 months compared to wild-type [71]. Moreover, the ΔEx8-34 model has the largest deletion ever generated in vivo of the Dmd gene through CRISPR/Cas9.
Koo et al. (2018) created other DMD mouse models, with these ones carrying frameshifting mutations at Dmd exon 23 [66]. Among the mutants generated, the authors looked further into those with a 14 bp deletion or 1 bp insertion in exon 23—both of which lacked dystrophin in examined TA samples by Western blot and immunostaining. Sarcolemmal neuronal nitric oxide synthase (nNOS) localization was also not observed. Muscle function was further evaluated in the 14 bp deletion model, and a significant decrease in specific force of the TA was observed. In the same study, both models were used to test the feasibility of employing CjCas9 (from Campylobacter jejuni) for DMD CRISPR therapy for the first time in vivo. Indeed, their findings supported the use of CjCas9 for DMD genome-editing therapy, which is beneficial for the field given that the CjCas9 cDNA has a considerably smaller size than that of SpCas9 [33,43]. This aids packaging into viral vectors, consequently facilitating treatment. On the other hand, Kim et al. (2017) developed a DMD mouse model using a cytidine deaminase fused to catalytically inactive Cas9, introducing a point mutation that leads to a premature stop codon in exon 20 of the Dmd gene [72]. While this model (called D108) has been used in a proof-of-principle study to demonstrate the feasibility of in vivo CRISPR base editing as a therapeutic approach for DMD [63], limited phenotypic analysis was performed and so we know very little about how well this model recapitulates the symptoms in patients. The model exhibits a lack of dystrophin and nNOS at the sarcolemma, however.
Humanized DMD mice are emerging models in the field, likely since the first transgenic mouse carrying a full-length, functional copy of the human DMD gene was created by ‘t Hoen et al. in 2008 [73]. Tissue-specific expression of the various DMD transcript isoforms in these mice was similar to that in humans. However, the expression levels of certain isoforms differed in these mice, e.g., the predominantly skeletal muscle-specific Dp427m isoform was expressed at twice the amount in the hDMD mice. The availability of this model enables testing of therapies that rely on the human DMD sequence, such as exon skipping [74] and genome editing [65,75]. A main limitation of this model though is that hDMD mice are phenotypically normal, and thus would not be useful for determining how well a given therapy restores dystrophin synthesis or improves muscle structure and function.
Fortunately, CRISPR can be used to edit these hDMD mice, making targeted mutations in the human DMD transgene to create a mutant transcript and cause dystrophin loss. Young et al. (2017) generated one such model, with hDMD mice carrying an out-of-frame exon 45 deletion (hDMD del45) [65]. When crossed onto the original mdx or mdxD2 (mdx DBA/2) background, dystrophin was absent in the skeletal muscles and heart by Western blot and immunostaining, save for a few, rare RFs. On the mdxD2 background, the skeletal muscles of hDMD del45 mice had observable dystrophic pathology: fibrosis, inflammatory infiltration, and calcium deposition. These mice can be used for testing therapies targeting the distal DMD mutation hotspot, such as exon 45–55 skipping, which Young et al. also demonstrated in their model as a proof of concept. Furthermore, we previously reported that an astounding 1554 of 4929 (31.5%) DMD deletion-carrying individuals in the Leiden Open Variation Database (LOVD) have deletions beginning at exon 45 [76], which emphasizes the clinical utility of the hDMD del45 model. Take note that there is another humanized DMD mouse model, del52hDMD/mdx, created by genome editing that also shows dystrophic phenotypes and can be used for therapeutic testing [75]. However, as this model was generated using transcription activator-like effector nuclease (TALEN) editing, we only briefly mention it here for reference.

3.2. Rat

In 2014, Nakamura et al. generated a number of inbred Wistar-Imamichi rats harboring different mutations in the Dmd gene using CRISPR, by injecting two gRNAs (one each targeting exons 3 and 16) and Cas9 mRNA into zygotes [57]. Nine out of ten F0 male progeny had detectable mutations in the Dmd gene, having deletions of 1–577 bp or insertions of 1–4 bp in one or both exons. More deletion than insertion events were observed overall, with some rats mosaic for mutations. All out-of-frame mutant males showed a lack of dystrophin in the TA by Western blotting or immunostaining. On the other hand, in-frame mutants had reduced dystrophin levels. F0 mutant rats had similar body weights to the wild-types throughout evaluation, up to 13 weeks. At 13 weeks of age, the TAs of mutant rats showed typical signs of dystrophic histopathology, e.g., degeneration, fibrosis, increased CNF counts, decreased myofiber size, and elevated fat levels, albeit with some individual variability owing to the non-isogenic nature of the colony. The diaphragm and heart also showed dystrophic signs but require further characterization. The F0 mutant rats displayed significantly reduced muscle function as per the wire hanging test. F1 mutant rats exhibited mostly similar phenotypes as the F0 rats at 4 weeks of age, including significantly elevated CK levels at approximately 4–5 times higher than wild-type levels.
The authors suggest that these dystrophin-deficient rats make for a more severe model of DMD than the mdx mice, particularly with regard to the heart [57]. Deeper investigation into the cardiac function of these rats is needed, as only histological observations were done. It is likely though that cardiac phenotypes will become apparent with age, as signs of diastolic dysfunction and structural remodeling of the left ventricle could be observed as early as 3 months of age in a different DMD rat model, one created by the introduction of mutations into Dmd exon 23 using TALEN genome editing [77]. Nakamura et al. also discuss that their DMD model rats exhibited more continuous disease progression than the mdx mice [57], which is more representative of what is observed in patients. Generally speaking, their larger body size and more widely recognized suitability to behavioral studies also provide certain advantages to using rats for therapeutic studies compared to mice [57,78,79]. However, results from the use of these DMD rats (or any dystrophin-deficient rat, for that matter) in the development of DMD therapies have yet to be reported.

3.3. Pig

The search for large animal models of DMD was partly initiated by the inability of rodent models to fully recapitulate patient phenotypes. A classic example would be the mild phenotype seen in mdx mice [22], as we have mentioned previously. There was also the issue of scale up, e.g., determining the human-appropriate dose, administration route, and treatment schedule for a given drug, which could be better managed with a more comparably sized animal model [80]. Use of canine DMD models, e.g., the Golden Retriever model of DMD (GRMD) [81] and Canine X-linked Muscular Dystrophy in Japan (CXMDJ) [28] dogs, emerged in response to these needs. While these dogs certainly exhibited more severe clinical signs compared to their rodent counterparts and provided us useful information on the pathogenesis of DMD, they displayed wide phenotypic variability across individuals that made pre-clinical study difficult [24,27,80]. Groups, therefore, looked into developing other large animal models of DMD.
As pigs share a high degree of similarity with the genetic, physiological, and anatomical characteristics of humans compared to mice or dogs, they soon became an attractive candidate for the development of a new DMD model [80,82,83]. In particular, the porcine heart functions almost identically to human hearts that parts of it are routinely used in cardiac surgery to replace patient valves and aortic roots [80]. This presents advantages in potentially modelling the cardiac aspects of DMD. A number of studies support the feasibility of using genome editing to create porcine disease models, with CRISPR/Cas9 reportedly being more efficient in generating mutants as opposed to zinc finger nucleases (ZFNs) or TALENs [84]. The first and only described attempt to develop a DMD pig model via CRISPR/Cas9 thus far was that by Yu et al. in 2016 [85]. Yu and colleagues microinjected Cas9 mRNA and a gRNA targeting DMD exon 27 into the cytoplasm of 1-cell stage embryos from Diannan miniature pigs, subsequently transferring the embryos into surrogate sows. Two piglets were successfully born out of the 98 injected embryos—only one of which had mutations in DMD—and both died shortly after birth.
The mutant pig died 52 days post-birth and carried four different indel mutations in the DMD gene that varied in distribution and level across tissues. The total efficiency of frame-disrupting mutations was 60% in skeletal muscle. Dystrophin levels in the mutant pig were lower than the age-matched wild-type in the biceps femoris, heart, and intestine, but not as pronounced. Typical dystrophic features such as reduced myofiber size, CNF presence, necrosis and myofiber disorganization were observed in skeletal muscles. The heart had seemingly hypertrophic foci. The severely shortened lifespan of the mutant pig generated by Yu et al. is similar to what was observed for the DMD exon 52-deleted pigs of Klymiuk et al. (2013) that mostly died within the first week of life [86]. As this drastically reduced survival prevents the use and efficient production of porcine DMD models for pre-clinical study, investigations into why this occurs or modifications in the genome-editing approach may help overcome the issue. The longer gestational period of pigs at 114 days, their requirement for larger living spaces and costly maintenance, as well as federal regulations limiting the use of genetically engineered pigs [24,80,87] are all challenges that have to be surmounted for using this DMD model in practice.

3.4. Rabbit

Compared to pigs, rabbits are more suitable in terms of productivity and cost while maintaining greater similarity at the genetic, physiological, and anatomical levels to humans than mice [24,88,89]. Rabbits have a gestational duration of 31 days, the capacity to breed throughout the year, and have reduced space requirements than dogs or pigs [24]. Their intermediate size also provides the advantages that come with increased body size without much of the financial burden [90]. Sui et al. (2018) recently developed a DMD rabbit model by co-injecting Cas9 mRNA and two gRNAs targeting DMD exon 51 into rabbit zygotes [89]. A total of 33 live rabbits were obtained out of 128 injected zygotes—26 of which had at least one mutated DMD allele. Indels of various sizes were detected, with some rabbits having more than one mutation along the same allele or in both alleles. The mutant rabbits had significantly lower DMD transcript levels, complete dystrophin loss as well as considerably reduced α-sarcoglycan and glycosylated α-dystroglycan at skeletal muscle membranes.
Significantly reduced mobility in the 1 hr walking (by more than 50% less than wild-type) and step-climbing tests were observed in the DMD rabbits, together with forelimb paralysis. Survival was decreased, with 42.6% of the rabbits dying by 20 weeks. In contrast to wild-type, 5-month-old mutant rabbit skeletal muscle showed apparent dystrophic phenotypes including a significantly greater proportion of CNFs, increased fibrosis, fat replacement, and significantly reduced fiber areas to less than half the average wild-type values. Four times higher serum CK levels were consistently observed in the mutants between 8 and 20 weeks of age. More importantly, unlike mdx mice that do not experience obvious cardiac dysfunction until 1 year of age [89,91], DMD rabbits show significantly reduced ejection fraction (EF) and fractional shortening (FS) compared to wild-type as early as 4 months old. Histological analysis of cardiac muscle revealed dystrophic symptoms, despite the lack of obvious differences in gross heart anatomy between mutant and healthy control rabbits. This positions DMD-mutant rabbits as being favorable models for studying the cardiac phenotype of DMD and for evaluating treatments directed at the dystrophic heart. The model is yet to be used for therapeutic testing.

3.5. Monkey

In the context of DMD therapy development, monkeys have mostly been used for pharmacological study, safety evaluation, and the testing of treatments that generally enhance muscle growth [92,93,94]. The lack of a suitable monkey model of DMD has prevented more thorough assessments of dystrophin-targeting therapies in these animals. The situation changed recently, however, with the generation of DMD-mutant rhesus monkeys (Macaca mulatta) by Chen et al. as reported in 2015 [95]. Chen and colleagues used CRISPR/Cas9 to introduce mutations in exons 4 and 46 of the monkey DMD gene. A total of 2 stillborn and 9 live monkeys carrying the desired mutations resulted from the editing process, where 179 embryos were injected. Mosaic mutations were reported in both stillborn and in some live monkeys. As both wild-type and mutant stillborn monkeys were observed, the authors did not attribute this condition to CRISPR/Cas9 activity.
Tissues of the stillborn monkeys (1 male, 1 female) were further analyzed, revealing that these contained 3 different frameshifting mutations in exon 4: a deletion of 2 bp, and insertions of 2 bp and 20 bp. Varying mutation rates of each type were observed across tissues and between monkeys, with 67% (male) or 87% (female) of DMD alleles in skeletal muscle mutated in total as evaluated by RT-PCR. Dystrophin reduction in muscle positively correlated with mutation load. Histological analysis of skeletal muscle samples (muscle unspecified) from the stillborn monkeys revealed a general decrease in fiber size, with the appearance of hypertrophic myofiber clusters, 12.5/17.5% CNFs, and increased interstitial space area. It is postulated that these dystrophic phenotypes began manifesting at an earlier time before birth. Phenotypic analysis was not performed for the live monkeys, which had a variety of frameshifting mutations in exons 4 and/or 46. In a succeeding study, the same group showed no off-target editing at known coding genomic regions in 2 of the live mutant monkeys via whole genome sequencing [96]. A total of five validated off-target indels were detected—four in intergenic regions, and one in an intron. No study on the use of these monkeys in therapeutic testing has been published as of present.

4. Conclusions

The use of CRISPR has expanded the DMD animal model repertoire, with the creation of at least 11 new models in total within a 6 year time period—8 of which were during the last 3 years (Table 2). This has allowed for better phenotypic and mutational representation in vivo, bringing the field closer to modelling the DMD patient population. Researchers are now presented with a wider selection of models to choose from for therapeutic studies, with the list of choices likely to grow in the coming years. The availability of such models also mobilizes efforts to further understand DMD pathology and progression. However, it is important to recognize that each model still has its own advantages and disadvantages (Table 3). For instance, while we can now test more personalized antisense or genome-editing therapies in mice, we still have not been able to faithfully recapitulate DMD patient cardiac phenotypes in this animal. And despite having the opportunity to achieve closer phenotypic representation in a larger, more “human-like” animal such as the pig, use of the model is hampered by its very early mortality [85,86]. Other issues surrounding the use of these models, particularly for the non-rodent ones, include cost, space, maintenance, government regulation, and public opinion [24]—all of which have to be duly considered prior to starting a therapeutic study.
Moving forward, a more in-depth investigation into the phenotypes of these new animal models is required to better determine their appropriateness for pre-clinical study. The fact that mosaics are being generated for some models [57,85,89,95] is concerning, as this will certainly influence the results of therapeutic testing. Developing methods to increase the uniformity of in vivo CRISPR-mediated mutagenesis will be helpful [97,98]; otherwise, careful analysis of mutation load and tissue-specific distribution is required in individual animals, perhaps even across generations. Finally, we should understand that each animal system inherently possesses certain fixed limitations (e.g., size, physiology, anatomy, etc.) and a model, by definition, cannot be expected to recapitulate all aspects of the DMD patient phenotype. Different models are useful for different purposes, and each must be used according to its strengths. One article suggests that we think of each model as representing different stages of DMD progression—for example, with murine models coinciding with the earliest phase of the disease, canine models with presentation during 5–10 years of age, and the rabbit model with the later phases associated with cardiac symptoms [24]. Therapies have to be tested depending on their desired clinical endpoint, which can only be accurately evaluated with the right animal model. The future of DMD therapy development will therefore likely require a holistic approach, using a combination of in vivo and in vitro models according to their respective strengths for the most accurate evaluation of a candidate drug.

Author Contributions

Literature review and writing—original draft preparation, K.R.Q.L., Q.N., K.D., and Y.H.; writing—review and editing, K.R.Q.L., Q.N., K.D., Y.H., and T.Y.; supervision and funding acquisition, T.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Friends of Garrett Cumming Research Chair Fund, HM Toupin Neurological Science Research Chair Fund, Muscular Dystrophy Canada, Canadian Institutes of Health Research (CIHR) FDN 143251, the University of Alberta Faculty of Medicine and Dentistry, and the Women and Children’s Health Research Institute (WCHRI) IG 2874.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hoffman, E.P.; Brown, R.H.; Kunkel, L.M. Dystrophin: The protein product of the duchenne muscular dystrophy locus. Cell 1987, 51, 919–928. [Google Scholar] [CrossRef]
  2. Mendell, J.R.; Ms, C.S.; Leslie, N.D.; Flanigan, K.; Al-Dahhak, R.; Gastier-Foster, J.; Kneile, K.; Dunn, D.M.; Duval, B.; Aoyagi, A.; et al. Evidence-based path to newborn screening for duchenne muscular dystrophy. Ann. Neurol. 2012, 71, 304–313. [Google Scholar] [CrossRef] [PubMed]
  3. Emery, A.E. Population frequencies of inherited neuromuscular diseases—A world survey. Neuromuscul. Disord. 1991, 1, 19–29. [Google Scholar] [CrossRef]
  4. Koenig, M.; Monaco, A.; Kunkel, L. The complete sequence of dystrophin predicts a rod-shaped cytoskeletal protein. Cell 1988, 53, 219–228. [Google Scholar] [CrossRef]
  5. Ervasti, J.M.; Campbell, K. A role for the dystrophin-glycoprotein complex as a transmembrane linker between laminin and actin. J. Cell Biol. 1993, 122, 809–823. [Google Scholar] [CrossRef] [Green Version]
  6. Ervasti, J.M.; Campbell, K. Membrane organization of the dystrophin-glycoprotein complex. Cell 1991, 66, 1121–1131. [Google Scholar] [CrossRef]
  7. Ervasti, J.M. Dystrophin, its interactions with other proteins, and implications for muscular dystrophy. Biochim. Biophys. Acta (BBA)-Mol. Basis Dis. 2007, 1772, 108–117. [Google Scholar] [CrossRef] [Green Version]
  8. Manzur, A.Y.; Kinali, M.; Muntoni, F. Update on the management of Duchenne muscular dystrophy. Arch. Dis. Child. 2008, 93, 986–990. [Google Scholar] [CrossRef]
  9. Mah, J.K. Current and emerging treatment strategies for Duchenne muscular dystrophy. Neuropsychiatr. Dis. Treat. 2016, 12, 1795–1807. [Google Scholar] [CrossRef] [Green Version]
  10. Nguyen, Q.; Yokota, T. Antisense oligonucleotides for the treatment of cardiomyopathy in Duchenne muscular dystrophy. Am. J. Transl. Res. 2019, 11, 1202–1218. [Google Scholar]
  11. Willmann, R.; Possekel, S.; Dubach-Powell, J.; Meier, T.; Rüegg, M.A. Mammalian animal models for Duchenne muscular dystrophy. Neuromuscul. Disord. 2009, 19, 241–249. [Google Scholar] [CrossRef] [PubMed]
  12. McGreevy, J.W.; Hakim, C.H.; McIntosh, M.A.; Duan, D. Animal models of Duchenne muscular dystrophy: From basic mechanisms to gene therapy. Dis. Model. Mech. 2015, 8, 195–213. [Google Scholar] [CrossRef] [Green Version]
  13. Yu, X.; Bao, B.; Echigoya, Y.; Yokota, T. Dystrophin-deficient large animal models: Translational research and exon skipping. Am. J. Transl. Res. 2015, 7, 1314–1331. [Google Scholar] [PubMed]
  14. Rodrigues, M.; Echigoya, Y.; Fukada, S.-I.; Yokota, T. Current Translational Research and Murine Models For Duchenne Muscular Dystrophy. J. Neuromuscul. Dis. 2016, 3, 29–48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Sicinski, P.; Geng, Y.; Ryder-Cook, A.; Barnard, E.; Darlison, M.; Barnard, P. The molecular basis of muscular dystrophy in the mdx mouse: A point mutation. Science 1989, 244, 1578–1580. [Google Scholar] [CrossRef]
  16. Verhaart, I.E.; Aartsma-Rus, A. Therapeutic developments for Duchenne muscular dystrophy. Nat. Rev. Neurol. 2019, 15, 373–386. [Google Scholar] [CrossRef]
  17. Nakamura, A. Mutation-Based Therapeutic Strategies for Duchenne Muscular Dystrophy: From Genetic Diagnosis to Therapy. J. Pers. Med. 2019, 9, 16. [Google Scholar] [CrossRef] [Green Version]
  18. Lim, K.R.Q.; Maruyama, R.; Yokota, T. Eteplirsen in the treatment of Duchenne muscular dystrophy. Drug Des. Dev. Ther. 2017, 11, 533–545. [Google Scholar] [CrossRef] [Green Version]
  19. Heo, Y.-A. Golodirsen: First Approval. Drugs 2020, 80, 329–333. [Google Scholar] [CrossRef]
  20. Amoasii, L.; Hildyard, J.C.W.; Li, H.; Sanchez-Ortiz, E.; Mireault, A.A.; Caballero, D.; Harron, R.; Stathopoulou, T.-R.; Massey, C.; Shelton, J.M.; et al. Gene editing restores dystrophin expression in a canine model of Duchenne muscular dystrophy. Science 2018, 362, 86–91. [Google Scholar] [CrossRef] [Green Version]
  21. Nguyen, Q.; Yokota, T. Immortalized Muscle Cell Model to Test the Exon Skipping Efficacy for Duchenne Muscular Dystrophy. J. Pers. Med. 2017, 7, 13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Banks, G.B.; Chamberlain, J.S. Chapter 9 The Value of Mammalian Models for Duchenne Muscular Dystrophy in Developing Therapeutic Strategies. Curr. Top. Dev. Biol. 2008, 84, 431–453. [Google Scholar] [PubMed]
  23. Chamberlain, J.S.; Metzger, J.; Reyes, M.; Townsend, D.; Faulkner, J.A. Dystrophin-deficient mdx mice display a reduced life span and are susceptible to spontaneous rhabdomyosarcoma. FASEB J. 2007, 21, 2195–2204. [Google Scholar] [CrossRef] [Green Version]
  24. Wells, D. Tracking progress: An update on animal models for Duchenne muscular dystrophy. Dis. Model. Mech. 2018, 11, dmm035774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Grady, R.; Teng, H.; Nichol, M.C.; Cunningham, J.C.; Wilkinson, R.S.; Sanes, J.R. Skeletal and cardiac myopathies in mice lacking utrophin and dystrophin: A model for Duchenne muscular dystrophy. Cell 1997, 90, 729–738. [Google Scholar] [CrossRef] [Green Version]
  26. Deconinck, A.E.; Rafael, J.; Skinner, J.A.; Brown, S.; Potter, A.C.; Metzinger, L.; Watt, D.J.; Dickson, J.; Tinsley, J.M.; Davies, K.E. Utrophin-dystrophin-deficient mice as a model for Duchenne muscular dystrophy. Cell 1997, 90, 717–727. [Google Scholar] [CrossRef] [Green Version]
  27. Kornegay, J.N.; Bogan, J.R.; Bogan, D.J.; Childers, M.; Li, J.; Nghiem, P.; Detwiler, D.A.; Larsen, C.A.; Grange, R.W.; Bhavaraju-Sanka, R.K.; et al. Canine models of Duchenne muscular dystrophy and their use in therapeutic strategies. Mamm. Genome 2012, 23, 85–108. [Google Scholar] [CrossRef] [Green Version]
  28. Shimatsu, Y.; Katagiri, K.; Furuta, T.; Nakura, M.; Tanioka, Y.; Yuasa, K.; Tomohiro, M.; Kornegay, J.N.; Nonaka, I.; Takeda, S. Canine X-Linked Muscular Dystrophy in Japan (CXMDJ). Exp. Anim. 2003, 52, 93–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Zarei, A.; Razban, V.; Hosseini, S.E.; Tabei, S.M.B. Creating cell and animal models of human disease by genome editing using CRISPR/Cas9. J. Gene Med. 2019, 21, e3082. [Google Scholar] [CrossRef]
  30. Jinek, M.; Chylinski, K.; Fonfara, I.; Hauer, M.; Doudna, J.A.; Charpentier, E. A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity. Science 2012, 337, 816–821. [Google Scholar] [CrossRef]
  31. Cong, L.; Ran, F.A.; Cox, D.; Lin, S.; Barretto, R.; Habib, N.; Hsu, P.; Wu, X.; Jiang, W.; Marraffini, L.A.; et al. Multiplex Genome Engineering Using CRISPR/Cas Systems. Science 2013, 339, 819–823. [Google Scholar] [CrossRef] [Green Version]
  32. Mali, P.; Yang, L.; Esvelt, K.M.; Aach, J.; Güell, M.; Dicarlo, J.E.; Norville, J.; Church, G.M. RNA-Guided Human Genome Engineering via Cas9. Science 2013, 339, 823–826. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Lim, K.R.Q.; Yoon, C.; Yokota, T. Applications of CRISPR/Cas9 for the Treatment of Duchenne Muscular Dystrophy. J. Pers. Med. 2018, 8, 38. [Google Scholar] [CrossRef] [Green Version]
  34. Barrangou, R.; Fremaux, C.; Deveau, H.; Richards, M.; Boyaval, P.; Moineau, S.; Romero, D.A.; Horvath, P. CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes. Science 2007, 315, 1709–1712. [Google Scholar] [CrossRef] [PubMed]
  35. Jiang, F.; Doudna, J.A. CRISPR–Cas9 Structures and Mechanisms. Annu. Rev. Biophys. 2017, 46, 505–529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Sternberg, S.H.; Doudna, J.A. Expanding the Biologist’s Toolkit with CRISPR-Cas9. Mol. Cell 2015, 58, 568–574. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Bolotin, A.; Quinquis, B.; Sorokin, A.; Ehrlich, S.D. Clustered regularly interspaced short palindrome repeats (CRISPRs) have spacers of extrachromosomal origin. Microbiology 2005, 151, 2551–2561. [Google Scholar] [CrossRef] [Green Version]
  38. Sternberg, S.H.; Redding, S.; Jinek, M.; Greene, E.C.; Doudna, J.A. DNA interrogation by the CRISPR RNA-guided endonuclease Cas9. Nature 2014, 507, 62–67. [Google Scholar] [CrossRef] [Green Version]
  39. Friedland, A.E.; Baral, R.; Singhal, P.; Loveluck, K.; Shen, S.; Sánchez, M.; Marco, E.; Gotta, G.M.; Maeder, M.L.; Kennedy, E.M.; et al. Characterization of Staphylococcus aureus Cas9: A smaller Cas9 for all-in-one adeno-associated virus delivery and paired nickase applications. Genome Biol. 2015, 16, 257. [Google Scholar] [CrossRef] [Green Version]
  40. Karvelis, T.; Gasiunas, G.; Young, J.; Bigelyte, G.; Šilanskas, A.; Cigan, M.; Siksnys, V. Rapid characterization of CRISPR-Cas9 protospacer adjacent motif sequence elements. Genome Biol. 2015, 16, 253. [Google Scholar] [CrossRef] [Green Version]
  41. Hirano, S.; Abudayyeh, O.O.; Gootenberg, J.S.; Horii, T.; Ishitani, R.; Hatada, I.; Zhang, F.; Nishimasu, H.; Nureki, O. Structural basis for the promiscuous PAM recognition by Corynebacterium diphtheriae Cas9. Nat. Commun. 2019, 10, 1968. [Google Scholar] [CrossRef]
  42. Dugar, G.; Leenay, R.T.; Eisenbart, S.K.; Bischler, T.; Aul, B.U.; Beisel, C.L.; Sharma, C.M. CRISPR RNA-Dependent Binding and Cleavage of Endogenous RNAs by the Campylobacter jejuni Cas9. Mol. Cell 2018, 69, 893–905.e7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Kim, E.; Koo, T.; Park, S.W.; Kim, D.; Kim, K.; Cho, H.-Y.; Song, D.W.; Lee, K.J.; Jung, M.H.; Kim, S.; et al. In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni. Nat. Commun. 2017, 8, 14500. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Acharya, S.; Mishra, A.; Paul, D.; Ansari, A.H.; Azhar, M.; Kumar, M.; Rauthan, R.; Sharma, N.; Aich, M.; Sinha, D.; et al. Francisella novicida Cas9 interrogates genomic DNA with very high specificity and can be used for mammalian genome editing. Proc. Natl. Acad. Sci. USA 2019, 116, 20959–20968. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Harrington, L.B.; Paez-Espino, D.; Staahl, B.T.; Chen, J.S.; Ma, E.; Kyrpides, N.C.; Doudna, J.A. A thermostable Cas9 with increased lifetime in human plasma. Nat. Commun. 2017, 8, 1424. [Google Scholar] [CrossRef] [Green Version]
  46. Hou, Z.; Zhang, Y.; Propson, N.E.; Howden, S.; Chu, L.-F.; Sontheimer, E.J.; Thomson, J.A. Efficient genome engineering in human pluripotent stem cells using Cas9 from Neisseria meningitidis. Proc. Natl. Acad. Sci. USA 2013, 110, 15644–15649. [Google Scholar] [CrossRef] [Green Version]
  47. Cebrian-Serrano, A.; Davies, B. CRISPR-Cas orthologues and variants: Optimizing the repertoire, specificity and delivery of genome engineering tools. Mamm. Genome 2017, 28, 247–261. [Google Scholar] [CrossRef] [Green Version]
  48. Chatterjee, P.; Jakimo, N.; Jacobson, J.M. Minimal PAM specificity of a highly similar SpCas9 ortholog. Sci. Adv. 2018, 4, eaau0766. [Google Scholar] [CrossRef] [Green Version]
  49. Steinert, J.; Schiml, S.; Fauser, F.; Puchta, H. Highly efficient heritable plant genome engineering using Cas9 orthologues from Streptococcus thermophilus and Staphylococcus aureus. Plant J. 2015, 84, 1295–1305. [Google Scholar] [CrossRef]
  50. Crane, A.M.; Krämer, P.; Bui, J.H.; Chung, W.J.; Li, X.S.; Gonzalez-Garay, M.L.; Hawkins, F.; Liao, W.; Mora, D.; Choi, S.; et al. Targeted correction and restored function of the CFTR gene in cystic fibrosis induced pluripotent stem cells. Stem Cell Rep. 2015, 4, 569–577. [Google Scholar] [CrossRef] [Green Version]
  51. Monteys, A.M.; Ebanks, S.A.; Keiser, M.S.; Davidson, B.L. CRISPR/Cas9 Editing of the Mutant Huntingtin Allele In Vitro and In Vivo. Mol. Ther. 2017, 25, 12–23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Ding, Q.; Strong, A.; Patel, K.M.; Ng, S.-L.; Gosis, B.S.; Regan, S.N.; Cowan, C.A.; Rader, D.J.; Musunuru, K. Permanent alteration of PCSK9 with in vivo CRISPR-Cas9 genome editing. Circ. Res. 2014, 115, 488–492. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Ousterout, D.G.; Kabadi, A.M.; Thakore, P.I.; Majoros, W.H.; Reddy, T.E.; Gersbach, C.A. Multiplex CRISPR/Cas9-based genome editing for correction of dystrophin mutations that cause Duchenne muscular dystrophy. Nat. Commun. 2015, 6, 6244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. González-Romero, E.; Martínez-Valiente, C.; Garcia-Ruiz, C.; Vázquez-Manrique, R.P.; Cervera, J.; Sanjuan-Pla, A. CRISPR to fix bad blood: A new tool in basic and clinical hematology. Haematologica 2019, 104, 881–893. [Google Scholar]
  55. Mou, H.; Kennedy, Z.; Anderson, D.G.; Yin, H.; Xue, W. Precision cancer mouse models through genome editing with CRISPR-Cas9. Genome Med. 2015, 7, 53. [Google Scholar] [CrossRef] [Green Version]
  56. Tu, Z.; Yang, W.; Yan, S.; Guo, X.; Li, X.-J. CRISPR/Cas9: A powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases. Mol. Neurodegener. 2015, 10, 35. [Google Scholar] [CrossRef] [Green Version]
  57. Nakamura, K.; Fujii, W.; Tsuboi, M.; Tanihata, J.; Teramoto, N.; Takeuchi, S.; Naito, K.; Yamanouchi, K.; Nishihara, M. Generation of muscular dystrophy model rats with a CRISPR/Cas system. Sci. Rep. 2014, 4, 5635. [Google Scholar] [CrossRef]
  58. Wang, H.; Yang, H.; Shivalila, C.S.; Dawlaty, M.M.; Cheng, A.W.; Zhang, F.; Jaenisch, R. One-Step Generation of Mice Carrying Mutations in Multiple Genes by CRISPR/Cas-Mediated Genome Engineering. Cell 2013, 153, 910–918. [Google Scholar] [CrossRef] [Green Version]
  59. Inui, M.; Miyado, M.; Igarashi, M.; Tamano, M.; Kubo, A.; Yamashita, S.; Asahara, H.; Fukami, M.; Takada, S. Rapid generation of mouse models with defined point mutations by the CRISPR/Cas9 system. Sci. Rep. 2014, 4, 5396. [Google Scholar] [CrossRef]
  60. Burgio, G. Redefining mouse transgenesis with CRISPR/Cas9 genome editing technology. Genome Biol. 2018, 19, 27. [Google Scholar] [CrossRef]
  61. Qin, W.; Kutny, P.M.; Maser, R.S.; Dion, S.L.; Lamont, J.D.; Zhang, Y.; Perry, G.A.; Wang, H. Generating Mouse Models Using CRISPR-Cas9-Mediated Genome Editing. Curr. Protoc. Mouse Biol. 2016, 6, 39–66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Capecchi, M.R. Gene targeting in mice: Functional analysis of the mammalian genome for the twenty-first century. Nat. Rev. Genet. 2005, 6, 507–512. [Google Scholar] [CrossRef] [PubMed]
  63. Ryu, S.-M.; Koo, T.; Kim, K.; Lim, K.; Baek, G.; Kim, S.-T.; Kim, H.S.; Kim, D.-E.; Lee, H.; Chung, E.; et al. Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophy. Nat. Biotechnol. 2018, 36, 536–539. [Google Scholar] [CrossRef] [PubMed]
  64. Amoasii, L.; Long, C.; Li, H.; Mireault, A.A.; Shelton, J.M.; Sanchez-Ortiz, E.; McAnally, J.R.; Bhattacharyya, S.; Schmidt, F.; Grimm, D.; et al. Single-cut genome editing restores dystrophin expression in a new mouse model of muscular dystrophy. Sci. Transl. Med. 2017, 9, eaan8081. [Google Scholar] [CrossRef] [Green Version]
  65. Young, C.S.; Mokhonova, E.; Quinonez, M.; Pyle, A.D.; Spencer, M.J. Creation of a Novel Humanized Dystrophic Mouse Model of Duchenne Muscular Dystrophy and Application of a CRISPR/Cas9 Gene Editing Therapy. J. Neuromuscul. Dis. 2017, 4, 139–145. [Google Scholar] [CrossRef] [Green Version]
  66. Koo, T.; Lu-Nguyen, N.; Malerba, A.; Kim, E.; Kim, D.; Cappellari, O.; Cho, H.-Y.; Dickson, G.; Popplewell, L.; Kim, J.-S. Functional Rescue of Dystrophin Deficiency in Mice Caused by Frameshift Mutations Using Campylobacter jejuni Cas9. Mol. Ther. 2018, 26, 1529–1538. [Google Scholar] [CrossRef] [Green Version]
  67. Min, Y.-L.; Li, H.; Rodriguez-Caycedo, C.; Mireault, A.A.; Huang, J.; Shelton, J.M.; McAnally, J.R.; Amoasii, L.; Mammen, P.P.A.; Bassel-Duby, R.; et al. CRISPR-Cas9 corrects Duchenne muscular dystrophy exon 44 deletion mutations in mice and human cells. Sci. Adv. 2019, 5, eaav4324. [Google Scholar] [CrossRef] [Green Version]
  68. Zhang, Y.; Li, H.; Min, Y.-L.; Sanchez-Ortiz, E.; Huang, J.; Mireault, A.A.; Shelton, J.M.; Kim, J.; Mammen, P.P.A.; Bassel-Duby, R.; et al. Enhanced CRISPR-Cas9 correction of Duchenne muscular dystrophy in mice by a self-complementary AAV delivery system. Sci. Adv. 2020, 6, eaay6812. [Google Scholar] [CrossRef] [Green Version]
  69. Amoasii, L.; Li, H.; Zhang, Y.; Min, Y.-L.; Sanchez-Ortiz, E.; Shelton, J.M.; Long, C.; Mireault, A.A.; Bhattacharyya, S.; McAnally, J.R.; et al. In vivo non-invasive monitoring of dystrophin correction in a new Duchenne muscular dystrophy reporter mouse. Nat. Commun. 2019, 10, 4537–4538. [Google Scholar] [CrossRef]
  70. Janssen, P.; Hiranandani, N.; Mays, T.A.; Rafael-Fortney, J.A. Utrophin deficiency worsens cardiac contractile dysfunction present in dystrophin-deficient mdx mice. Am. J. Physiol. Circ. Physiol. 2005, 289, H2373–H2378. [Google Scholar] [CrossRef] [Green Version]
  71. Egorova, T.; Zotova, E.; Reshetov, D.A.; Polikarpova, A.V.; Vassilieva, S.G.; Vlodavets, D.V.; Gavrilov, A.; Ulianov, S.V.; Buchman, V.L.; Deykin, A. CRISPR/Cas9-generated mouse model of Duchenne muscular dystrophy recapitulating a newly identified large 430 kb deletion in the human DMD gene. Dis. Model. Mech. 2019, 12, dmm037655. [Google Scholar] [CrossRef] [Green Version]
  72. Kim, K.; Ryu, S.-M.; Kim, S.-T.; Baek, G.; Kim, D.; Lim, K.; Chung, E.; Kim, S.; Kim, J.-S. Highly efficient RNA-guided base editing in mouse embryos. Nat. Biotechnol. 2017, 35, 435–437. [Google Scholar] [CrossRef] [PubMed]
  73. AC’t Hoen, P.; De Meijer, E.; Boer, J.M.; Vossen, R.H.A.M.; Maatman, R.G.H.J.; Davies, K.W.; Van Ommen, G.-J.B.; Van Deutekom, J.C.; Dunnen, J.T.D.; Turk, R.; et al. Generation and Characterization of Transgenic Mice with the Full-length Human DMD Gene. J. Biol. Chem. 2007, 283, 5899–5907. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Echigoya, Y.; Lim, K.R.Q.; Trieu, N.; Bao, B.; Nichols, B.M.; Vila, M.C.; Novak, J.; Hara, Y.; Lee, J.; Touznik, A.; et al. Quantitative Antisense Screening and Optimization for Exon 51 Skipping in Duchenne Muscular Dystrophy. Mol. Ther. 2017, 25, 2561–2572. [Google Scholar] [CrossRef] [Green Version]
  75. Veltrop, M.; Van Vliet, L.; Hulsker, M.; Claassens, J.; Brouwers, C.; Breukel, C.; Van Der Kaa, J.; Linssen, M.M.; Dunnen, J.T.D.; Verbeek, S.; et al. A dystrophic Duchenne mouse model for testing human antisense oligonucleotides. PLoS ONE 2018, 13, e0193289. [Google Scholar] [CrossRef] [PubMed]
  76. Echigoya, Y.; Lim, K.R.Q.; Nakamura, A.; Yokota, T. Multiple Exon Skipping in the Duchenne Muscular Dystrophy Hot Spots: Prospects and Challenges. J. Pers. Med. 2018, 8, 41. [Google Scholar] [CrossRef] [Green Version]
  77. Larcher, T.; Lafoux, A.; Tesson, L.; Rémy, S.; Thepenier, V.; François, V.; Le Guiner, C.; Goubin, H.; Dutilleul, M.; Guigand, L.; et al. Characterization of Dystrophin Deficient Rats: A New Model for Duchenne Muscular Dystrophy. PLoS ONE 2014, 9, e110371. [Google Scholar] [CrossRef] [Green Version]
  78. Ellenbroek, B.; Youn, J. Rodent models in neuroscience research: Is it a rat race? Dis. Model. Mech. 2016, 9, 1079–1087. [Google Scholar] [CrossRef] [Green Version]
  79. Abbott, A. The Renaissance rat. Nature 2004, 428, 464–466. [Google Scholar] [CrossRef]
  80. Selsby, J.T.; Ross, J.W.; Nonneman, D.; Hollinger, K. Porcine models of muscular dystrophy. ILAR J. 2015, 56, 116–126. [Google Scholar] [CrossRef] [Green Version]
  81. Kornegay, J.N. The golden retriever model of Duchenne muscular dystrophy. Skelet. Muscle 2017, 7, 9. [Google Scholar] [CrossRef] [PubMed]
  82. Humphray, S.J.; Scott, C.E.; Clark, R.; Marron, B.; Bender, C.; Camm, N.; Davis, J.; Jenks, A.; Noon, A.; Patel, M.; et al. A high utility integrated map of the pig genome. Genome Biol. 2007, 8, R139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Gregory, S.G.; Sekhon, M.; Schein, J.; Zhao, S.; Osoegawa, K.; Scott, C.E.; Evans, R.S.; Burridge, P.W.; Cox, T.V.; Fox, C.A.; et al. A physical map of the mouse genome. Nature 2002, 418, 743–750. [Google Scholar] [CrossRef]
  84. Whitworth, K.M.; Lee, K.; Benne, J.A.; Beaton, B.P.; Spate, L.D.; Murphy, S.L.; Samuel, M.S.; Mao, J.; O’Gorman, C.; Walters, E.M.; et al. Use of the CRISPR/Cas9 System to Produce Genetically Engineered Pigs from In Vitro-Derived Oocytes and Embryos1. Biol. Reprod. 2014, 91, 78. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Yu, H.-H.; Zhao, H.; Qing, Y.-B.; Pan, W.-R.; Jia, B.-Y.; Zhao, H.-Y.; Huang, X.-X.; Wei, H.-J. Porcine Zygote Injection with Cas9/sgRNA Results in DMD-Modified Pig with Muscle Dystrophy. Int. J. Mol. Sci. 2016, 17, 1668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Klymiuk, N.; Blutke, A.; Graf, A.; Krause, S.; Burkhardt, K.; Wuensch, A.; Krebs, S.; Kessler, B.; Zakhartchenko, V.; Kurome, M.; et al. Dystrophin-deficient pigs provide new insights into the hierarchy of physiological derangements of dystrophic muscle. Hum. Mol. Genet. 2013, 22, 4368–4382. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Maxmen, A. Model pigs face messy path. Nature 2012, 486, 453. [Google Scholar] [CrossRef] [Green Version]
  88. Wang, Y.; Fan, N.; Song, J.; Zhong, J.; Guo, X.; Tian, W.; Zhang, Q.; Cui, F.; Li, L.; Newsome, P.N.; et al. Generation of knockout rabbits using transcription activator-like effector nucleases. Cell Regen. 2014, 3, 3. [Google Scholar] [CrossRef] [Green Version]
  89. Sui, T.; Lau, Y.S.; Liu, D.; Liu, T.; Xu, L.; Gao, Y.; Lai, L.; Li, Z.; Han, R. A novel rabbit model of Duchenne muscular dystrophy generated by CRISPR/Cas9. Dis. Model. Mech. 2018, 11, dmm032201. [Google Scholar] [CrossRef] [Green Version]
  90. Esteves, P.J.; Abrantes, J.; Baldauf, H.-M.; Benmohamed, L.; Chen, Y.; Christensen, N.; González-Gallego, J.; Giacani, L.; Hu, J.; Kaplan, G.; et al. The wide utility of rabbits as models of human diseases. Exp. Mol. Med. 2018, 50, 1–10. [Google Scholar] [CrossRef]
  91. Pastoret, C.; Sébille, A. Mdx mice show progressive weakness and muscle deterioration with age. J. Neurol. Sci. 1995, 129, 97–105. [Google Scholar] [CrossRef]
  92. Guiraud, S.; Davies, K.W. Pharmacological advances for treatment in Duchenne muscular dystrophy. Curr. Opin. Pharmacol. 2017, 34, 36–48. [Google Scholar] [CrossRef] [PubMed]
  93. Sazani, P.; Weller, D.L.; Shrewsbury, S.B. Safety Pharmacology and Genotoxicity Evaluation of AVI-4658. Int. J. Toxicol. 2010, 29, 143–156. [Google Scholar] [CrossRef] [PubMed]
  94. Sazani, P.; Van Ness, K.P.; Weller, D.L.; Poage, D.W.; Palyada, K.; Shrewsbury, S.B. Repeat-Dose Toxicology Evaluation in Cynomolgus Monkeys of AVI-4658, a Phosphorodiamidate Morpholino Oligomer (PMO) Drug for the Treatment of Duchenne Muscular Dystrophy. Int. J. Toxicol. 2011, 30, 313–321. [Google Scholar] [CrossRef] [PubMed]
  95. Chen, Y.; Zheng, Y.; Kang, Y.; Yang, W.; Niu, Y.; Guo, X.; Tu, Z.; Si, C.; Wang, H.; Xing, R.; et al. Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9. Hum. Mol. Genet. 2015, 24, 3764–3774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Wang, S.; Ren, S.; Bai, R.; Xiao, P.; Zhou, Q.; Zhou, Y.; Zhou, Z.; Niu, Y.Y.; Ji, W.; Yong-Chang, C. No off-target mutations in functional genome regions of a CRISPR/Cas9-generated monkey model of muscular dystrophy. J. Biol. Chem. 2018, 293, 11654–11658. [Google Scholar] [CrossRef] [Green Version]
  97. Mehravar, M.; Shirazi, A.; Nazari, M.; Banan, M. Mosaicism in CRISPR/Cas9-mediated genome editing. Dev. Biol. 2019, 445, 156–162. [Google Scholar] [CrossRef]
  98. Kang, Y.; Chu, C.; Wang, F.; Niu, Y. CRISPR/Cas9-mediated genome editing in nonhuman primates. Dis. Model. Mech. 2019, 12, dmm039982. [Google Scholar] [CrossRef] [Green Version]
Genes 11 00342 g001 550
Figure 1. Clustered regularly interspaced short palindromic repeat (CRISPR)-mediated genome editing for Duchenne muscular dystrophy animal model development. An overview of the different genome-editing approaches used to create dystrophin gene mutations for animal model creation is shown. Boxes, exons; blue circles with red line structures, gRNA–Cas complexes.
Figure 1. Clustered regularly interspaced short palindromic repeat (CRISPR)-mediated genome editing for Duchenne muscular dystrophy animal model development. An overview of the different genome-editing approaches used to create dystrophin gene mutations for animal model creation is shown. Boxes, exons; blue circles with red line structures, gRNA–Cas complexes.
Genes 11 00342 g001
Table
Table 1. A list of selected Cas9 enzymes and their characteristics.
Table 1. A list of selected Cas9 enzymes and their characteristics.
Cas9 EnzymeSource OrganismPAM Site
(5′-3′)		Size (cDNA, Protein)PropertiesRef/s
SpCas9Streptococcus pyogenesNGG4.10 kbp,
1,368 aa		Most widely used Cas9; common PAM site, but also more susceptible to off-target effects, multiple variants available[30,38]
SaCas9StaphylococcusaureusNNGRRT3.16 kbp,
1,053 aa		Small Cas9 with high specificity and efficiency[39]
BlatCas9BrevibacilluslaterosporusNNNNCNDD3.28 kbp,
1,092 aa		Small Cas9 with broad targeting range[40]
CdCas9Corynebacterium diphtheriaeNNRHHHY3.25 kbp,
1,084 aa		Diverse PAM sequence recognition, more robust DNA cleavage activity compared to traditional Cas9 orthologues[41]
CjCas9Campylobacter jejuniNNNNACA2.95 kbp,
984 aa		Smallest available Cas9, lack of a protospacer flanking sequence allows for greater target flexibility, shown to target RNA as well[42,43]
FnCas9Francisella novicidaNGG4.89 kbp,
1,629 aa		High binding specificity and low off-target effect compared to SpCas9 while having similar PAM site, size may deter delivery[44]
GeoCas9Geobacillus stearothermophilusCRAA3.26 kbp,
1,087 aa		Small thermotolerant Cas9 active in temperatures up to 70 °C, shown to have improved ribonucleoprotein delivery[45]
NmCas9Neisseria meningitidisNNNNGATT3.25 kbp,
1,082 aa		Small Cas9 with high specificity, lower off-target effect compared to SpCas9[46,47]
ScCas9Streptococcus canisNNG4.161 kbp,
1,386 aa		Homologous protein to SpCas9 with higher levels of specificity, size may deter delivery[48]
St1Cas9Streptococcus thermophilusNNAGAAW3.36 kbp,
1,121 aa		Small Cas9 that can induce error-prone NHEJ-mediated targeted mutagenesis as efficiently as SpCas9[49]
Abbreviations: PAM, protospacer adjacent motif; NHEJ, non-homologous end joining.
Table
Table 2. Characteristics of the various CRISPR-generated Duchenne muscular dystrophy (DMD) animal models discussed in this review.
Table 2. Characteristics of the various CRISPR-generated Duchenne muscular dystrophy (DMD) animal models discussed in this review.
AnimalStudyStrain/BreedDystrophin MutationFeatures (In Males, Unless Specified)Therapies Tested
MouseKim et al. (2017)C57BL6/JDmd ex20 point mutation (Q871Stop)Dystrophin and nNOS absent in skeletal muscle sarcolemmaCRISPR editing of ex20 point mutation [63]
Amoasii et al. (2017)C57BL6/JDmd ex50 deletionDystrophin absent in skeletal and cardiac muscles, histopathology at 3 weeks, decreased forelimb grip strength at 2 monthsCRISPR reframing or skipping of ex51 [64]
Young et al. (2017)C57BL/10, DBA/2DMD ex45 deletionHumanized model, dystrophin absent in skeletal and cardiac muscles on mdx and mdxD2 backgrounds, histopathology at 6 weeks on mdxD2 backgroundCRISPR deletion of ex45-55 [65]
Koo et al. (2018)C57BL6/Jvarious Dmd exon 23 indel mutations (e.g., −14bp, +1bp)Dystrophin absent in skeletal muscles, nNOS absent in skeletal muscle sarcolemma, decreased TA-specific force at nearly 4 monthsCRISPR reframing of ex23 [66]
Min et al. (2019)C57BL6/JDmd ex44 deletionDystrophin absent in skeletal and cardiac muscles, histopathology at 4 weeks, decreased EDL-specific force at 4 weeks and forelimb grip strength at 8 weeksCRISPR reframing or skipping of ex51/53 [67] or of ex45 [68]
Egorova et al. (2019)C57BL6/J
× CBA		Dmd ex8-34 deletionDystrophin, DAGC members absent in skeletal muscles, histopathology at 12 weeks, decreased TA force parameters and wire hanging test performance across age (2–12 months)None
Amoasii et al. (2019)Not indicatedDmd ex50 deletionSimilar to those from Amoasii et al. (2017), with capability of in vivo non-invasive monitoring of dystrophin levels via luciferase expressionCRISPR reframing or skipping of ex51 [69]
RatNakamura et al. (2014)Wistar-Imamichivarious Dmd exon 3 and/or 16 indel mutationsDystrophin absent or reduced in skeletal muscle, histopathology at approximately 4 or 13 weeks for skeletal muscle and at 13 weeks for the heart, decreased wire hanging test performanceNone
PigYu et al. (2016)Diannan miniature pigvarious DMD exon 27 indel mutationsOnly one mutant obtained with unspecified sex and very early mortality at 52 days post-birth, dystrophin reduced in skeletal and cardiac muscles, histopathology observed at autopsy with the heart having enlarged, discolored fociNot applicable
RabbitSui et al. (2018)New Zealandvarious DMD exon 51 indel mutationsSex unspecified: reduced survival mostly by 20 weeks, dystrophin absent in skeletal and presumably cardiac muscles, histopathology at 5 months, reduced mobility at 2–3 months, decreased systolic function at 4 monthsNone
MonkeyChen et al. (2015)Rhesusvarious DMD exon 4 and/or 46 indel mutationsOnly stillborn monkeys analyzed (male and female): dystrophin reduced in muscle, histopathology observedNone
Abbreviations: ex, exon; nNOS, neuronal nitric oxide synthase; TA, tibialis anterior; EDL, extensor digitorum longus.
Table
Table 3. Advantages and disadvantages of the CRISPR-generated DMD animal models.
Table 3. Advantages and disadvantages of the CRISPR-generated DMD animal models.
ModelAdvantagesDisadvantages
MouseWide number of mutations, humanized model available, easy to breed and handle, good for powered studies, relatively inexpensiveMild phenotype overall, cardiac phenotypes require further investigation, small body size
RatPotential cardiac phenotype, continuous DMD progression, suitable for behavioral studies, easy to breed and handle, good for powered studies, relatively inexpensiveNon-isogenic colony used for mutant generation, mosaic mutations require careful consideration, small body size
PigGood genetic, physiological, and anatomical similarity to humans, large body sizeVery early mortality prevents breeding and further study, long gestational period, expensive to maintain and house
RabbitGood genetic, physiological, and anatomical similarity to humans, strong cardiac phenotype, intermediate body size, relatively short gestational periodMay be expensive to maintain and house (but less so than the pig or monkey), mosaic mutations require careful consideration
MonkeyLeast evolutionary distance and hence greatest similarity to humans, large body sizeLack of phenotypic analysis for living mutants, long gestational period, mosaic mutations require careful consideration, expensive to maintain and house

Share and Cite

MDPI and ACS Style

Lim, K.R.Q.; Nguyen, Q.; Dzierlega, K.; Huang, Y.; Yokota, T. CRISPR-Generated Animal Models of Duchenne Muscular Dystrophy. Genes 2020, 11, 342. https://0-doi-org.brum.beds.ac.uk/10.3390/genes11030342

AMA Style

Lim KRQ, Nguyen Q, Dzierlega K, Huang Y, Yokota T. CRISPR-Generated Animal Models of Duchenne Muscular Dystrophy. Genes. 2020; 11(3):342. https://0-doi-org.brum.beds.ac.uk/10.3390/genes11030342

Chicago/Turabian Style

Lim, Kenji Rowel Q., Quynh Nguyen, Kasia Dzierlega, Yiqing Huang, and Toshifumi Yokota. 2020. "CRISPR-Generated Animal Models of Duchenne Muscular Dystrophy" Genes 11, no. 3: 342. https://0-doi-org.brum.beds.ac.uk/10.3390/genes11030342

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop