ABSTRACT
Large-animal models for Duchenne muscular dystrophy (DMD) are crucial for the evaluation of diagnostic procedures and treatment strategies. Pigs cloned from male cells lacking DMD exon 52 (DMDΔ52) exhibit molecular, clinical and pathological hallmarks of DMD, but die before sexual maturity and cannot be propagated by breeding. Therefore, we generated female DMD+/− carriers. A single founder animal had 11 litters with 29 DMDY/−, 34 DMD+/− as well as 36 male and 29 female wild-type offspring. Breeding with F1 and F2 DMD+/− carriers resulted in an additional 114 DMDY/− piglets. With intensive neonatal management, the majority survived for 3-4 months, providing statistically relevant cohorts for experimental studies. Pathological investigations and proteome studies of skeletal muscles and myocardium confirmed the resemblance to human disease mechanisms. Importantly, DMDY/− pigs displayed progressive myocardial fibrosis and increased expression of connexin-43, associated with significantly reduced left ventricular ejection fraction, at 3 months. Furthermore, behavioral tests provided evidence for impaired cognitive ability. Our breeding cohort of DMDΔ52 pigs and standardized tissue repositories provide important resources for studying DMD disease mechanisms and for testing novel treatment strategies.
INTRODUCTION
Duchenne muscular dystrophy (DMD) is a severe, progressive, muscle-wasting disease caused by mutations in the X-linked gene DMD (encoding dystrophin) leading to a lack of dystrophin in muscle. Most patients lose ambulation at ∼10-12 years and need assisted ventilation at ∼20 years. With optimal care, most DMD patients die between 20 and 40 years of age from cardiac and/or respiratory failure (for a comprehensive introduction into DMD epidemiology, inheritance pattern and pathophysiology, see Duan et al., 2021).
Animal models for DMD are invaluable for studying disease mechanisms and for testing therapeutic concepts. The classical mdx mouse with a nonsense mutation in Dmd exon 23 and several other strains modeling specific human mutations are most widely used, but have limitations regarding resemblance to the human disease phenotype. In particular, they do not develop early dilated cardiomyopathy as seen in patients (reviewed by Yucel et al., 2018). Nevertheless, mdx mouse models have played key roles in studies of DMD pathogenesis and treatment development. The most widely used large-animal model for DMD is the golden retriever muscular dystrophy (GRMD) dog, which has a single base change in intron 6 leading to skipping of exon 7 and the termination of the DMD reading frame. The animal model shows myofiber degeneration, fibrosis and fatty infiltration, reflecting the histomorphological changes seen in human DMD patients. Moreover, signs of cardiomyopathy have been recorded. However, generation of large animal numbers, sufficient for relevant statistical group sizes, is limited by long generation intervals due to season breeding and relatively small litter sizes (reviewed by Kornegay, 2017). This also applies for other dog lines with spontaneous DMD mutations (summarized in Kornegay, 2017). Additional DMD models have been developed by gene editing in rat (Larcher et al., 2014; Nakamura et al., 2014), rabbit (Sui et al., 2018) and rhesus monkey (Chen et al., 2015). The specific pros and cons of these models have been reviewed recently, and none of these models has so far been used for testing therapies (Lim et al., 2020a). Attempts to generate a porcine DMD model by injection of CRISPR/Cas9 into zygotes were hampered by mosaicism and early death of the offspring (Yu et al., 2016).
Klymiuk et al. (2013) generated the first porcine DMD model. The strategy was based on targeted deletion of DMD exon 52 (DMDΔ52) by homologous recombination with a modified bacterial artificial chromosome (BAC) vector in a male porcine kidney cell line and subsequent use of targeted cell clones for somatic cell nuclear transfer (SCNT). The cloned DMDY/− piglets lacked dystrophin and resembled clinical, biochemical and pathological hallmarks of the human disease. However, birth weights of the animals were – presumably as a consequence of the SCNT procedure – highly variable, and most of the animals died within the first week of life. None of the pigs reached sexual maturity; thus, cloning or blastocyst complementation (Matsunari et al., 2018) were the only ways to propagate the model. Similarly, Bama miniature pigs cloned from gene-edited cells with DMD exon 51 mutations had a maximum life expectancy of 12 weeks (Zou et al., 2021).
To overcome this limitation, we generated DMD+/− carrier pigs, which allow scaling up the generation of DMDY/− pigs by breeding. In this study, we performed a comprehensive characterization of this translational animal model, revealing characteristic pathological alterations and proteome changes in skeletal muscle and myocardium, associated with impaired heart function. Moreover, we provide evidence for impaired cognitive ability of DMDY/− pigs. For the first time, cardiac alterations of DMD+/− carrier pigs were characterized.
RESULTS
Generation of heterozygous DMDΔ52 (DMD+/−) carriers and establishment of a breeding herd
A heterozygous DMDΔ52 mutation was introduced in female primary kidney cells (German Landrace×Swabian-Hall hybrid background) by homologous recombination with a modified BAC in which DMD exon 52 was replaced by a neomycin resistance cassette (Fig. 1A). The loss of exon 52 causes a shift of the reading frame, resulting in premature stop codons (Fig. 1B). A correctly targeted single-cell clone was used for SCNT. Transfer of cloned DMD+/− embryos to recipients resulted in the birth of seven live DMD+/− piglets, of which one (#3040; Fig. 1C) could be raised to adulthood (Klymiuk et al., 2016; Moretti et al., 2020).
To generate a breeding herd, the founder sow (#3040) was inseminated with semen from seven different wild-type (WT) boars, resulting in 11 litters with a total number of 128 piglets, between June 2015 and September 2020 (Fig. 1D). Genotyping by polymerase chain reaction (PCR) tests specific for the wild-type or mutant DMD allele identified 29 male DMD-knockout (DMDY/−) and 34 female heterozygous carrier (DMD+/−) piglets, as well as 36 male and 29 female WT littermates, approximating the expected Mendelian ratios. Immunostaining of skeletal muscle (Fig. 1E) and myocardium (Fig. 1F) sections revealed the absence of dystrophin in DMDY/− samples. In WT pigs, a strong membranous pattern was present. In DMD+/− carrier sows, myocyte membranes displayed a mosaic-like abundance pattern, with generally markedly reduced staining intensity.
In addition to the founder sow (#3040), six F1 and three F2 DMD+/− sows were used for breeding and inseminated with semen from WT boars, resulting in another 114 DMDY/− and 118 DMD+/− piglets, as well as 98 male and 98 female WT littermates (Table S1).
The body weights of newborn DMDY/− piglets (1212±268 g; n=51) were significantly (P=0.0086) lower than those of their male WT littermates (1373±345 g; n=54). Furthermore, the DMDY/− piglets lost weight during the first 24 h, whereas their WT siblings gained weight. Subsequently, the DMDY/− piglets also gained weight but never reached the body weight of their male WT littermates (Fig. S1).
Serum creatine kinase (CK) activities were highly elevated in DMDY/− compared to WT pigs. In DMD+/− pigs, a wide variation in serum CK activities was observed, ranging from levels within the cluster of WT pigs to highly elevated levels as in DMDY/− pigs, similar to human dystrophinopathy carriers (Ishizaki et al., 2018) (Fig. 1G).
The life expectancy of DMDY/− pigs was significantly reduced. Of the total of n=143 DMDY/− animals, 42% (n=60) died within the first week and another 8% (n=12) within the first month, whereas 48% (n=68) survived between >1 month and 5 months. So far, three DMDY/− boars survived for more than 5 months (#7259, 177 days; #6964, 192 days; #6790, 266 days) (Fig. 1H). Through improved management, neonatal lethality could be reduced to 23% (12/52; Fig. S2).
Mapping of chromosome regions influencing the life expectancy of DMDY/− pigs
Because genetic modifiers have been shown to influence the clinical severity of DMD (reviewed by Quattrocelli et al., 2017a; Vo and McNally, 2015), we used our large cohort of DMDY/− pigs to map chromosome regions influencing life expectancy. A combined linkage disequilibrium and linkage analysis (cLDLA) with single-nucleotide polymorphism (SNP) genotypes (i.e. 60,000 different SNPs) was performed using DNA samples from 98 DMDY/− pigs, which had to be euthanized in a terminal condition or died spontaneously. Life expectancy (in days) was considered as a continuous variable. The quantitative model revealed significant chromosome-wide associations on chromosomes 6 (∼32.2 Mbp), 8 (∼33.2 Mbp) and 15 (∼100.4 Mbp) (Fig. S3A). The associations between haplotypes and life expectancy in the corresponding chromosome regions and associated genes are shown in Fig. S3B-D. Most of these genes are expressed in myocardium and skeletal muscle (Fig. S3E).
Age-related pathological alterations of skeletal muscles and myocardium of DMDY/− pigs
All DMDY/− piglets that died within the first week displayed severe gross and histopathological skeletal muscle lesion patterns, consistent with the alterations found in cloned dystrophin-deficient piglets (Klymiuk et al., 2013). The diffusely pale skeletal musculature showed numerous foci of white, streaky, muscle necroses over the entire length of the muscle bundle (Fig. S4A). Muscle fiber cross-section profiles displayed reduced size (compared to WT sections) with marked size variation, presence of numerous rounded fibers and fibers with centralized nuclei, as well as multiple, often coalescing foci of degenerating and necrotic fibers with loss of cross-striation, hyalinization and fragmentation of the sarcoplasm, rupture and loss of fibers, and replacement by homogenous cellular and karyorrhectic debris (Fig. 2A). These alterations were accompanied by interstitial edema, infiltration of inflammatory cells, including macrophages, eosinophil granulocytes, few lymphocytes and plasma cells, as well as muscle fiber regeneration with hypertrophic basophilic fibers and hyperplastic satellite cells. Gross or histomorphological myocardial lesions were not observed in this age group (Fig. 2B).
Corresponding macroscopic (Fig. S4B) and microscopic (Fig. 2C) skeletal muscle lesion patterns were also regularly identified in DMDY/− pigs surviving between 1 and 5 months; however, foci of necrotic muscle fibers and corresponding inflammatory alterations were markedly less frequent and severe compared to those observed in the piglets that died within the first week. Significant myocardial lesions were also not observed in this age cohort (Fig. 2D).
From 4-month-old DMDY/− pigs (n=6) and WT littermates (n=4), a complex biobank including almost 40 different tissues and body fluids was established for morphological and molecular profiling studies (Table S2).
Two long-term surviving DMDY/− boars deserve particular attention. #6790 (Fig. S4C) was trained to mount a dummy sow from 6 months of age. However, the collection of semen was not successful. After showing first signs of stenotic breathing/limited respiratory function (breathing through the mouth, snoring, shortness of breath worsening on excitation or lying down, cough), #6790 was euthanized for sampling at an age of almost 9 months (266 days). At this time, his body weight (76.5 kg) was severely reduced compared to that of WT (142 kg at 6.5 months; see below). Necropsy revealed myocardial alterations, grossly presenting as pale, white-to-tan, indistinctly limited, subepicardial and intramyocardial foci of a few millimeters diameter (Fig. S4C, macroscopic imaging of the heart). #6964 was successfully trained to mount a dummy sow for the collection of semen, which was used for the insemination of four DMD+/− sows. The founder sow (#3040) and an F1 sow (#5382) became pregnant and gave birth to a total of n=28 live piglets (15 male WT, three DMD+/−, five DMD−/−, five DMDY/−) (Fig. S4D). Boar #6964 died peracutely at the age of 192 days, immediately after successful semen collection, most probably due to sudden cardiac death. The animal showed a greatly reduced body weight (93.5 kg), with normal body condition, compared to that of a male WT sibling (142 kg) raised under the same conditions.
Both long-term surviving DMDY/− boars exhibited the characteristic histopathological skeletal muscle fiber alteration patterns associated with DMD deficiency, with occasional foci of necrosis and histiocytic inflammation with participation of eosinophils (Fig. 2E). The myocardial foci of #6790 consisted of degenerating and necrotic cardiomyocytes with interstitial edema, and infiltration of macrophages, accompanied by considerable numbers of eosinophils (Fig. 2F). Although #6964 did not display macroscopic alterations of the heart, histopathologic alterations, reflecting the situation as in #6790, were observed (Fig. S4E).
Age-related alterations of skeletal muscle and myocardial proteome profiles in DMDY/− pigs
To analyze molecular alterations associated with the pathological changes of skeletal muscle and myocardium in the different age groups of DMDY/− pigs, label-free proteome analyses were performed. A total of 3030 and 3136 proteins were identified with high confidence (false discovery rate <0.01) in skeletal muscle and myocardium, respectively. A comprehensive description of the results is provided in Table S3. The dataset has been submitted to the ProteomeXchange Consortium via the PRIDE (Perez-Riverol et al., 2019) partner repository (PXD027772).
Principal component analyses (PCAs) (Fig. 2G,H) as well as hierarchical clustering (Fig. S5) of normalized protein intensity values clearly separate proteome profiles of young (<1 week age group) and older animals (4 months and >6 months) of skeletal muscle and myocardium. Skeletal muscle cluster analysis shows a clear separation according to genotype (DMDY/−, WT), which is more pronounced in the older animals. For myocardium, separation is not as pronounced. This finding reflects the fact that, in DMD, skeletal muscle is the most affected type of muscle.
Further statistical analysis revealed 709 differentially abundant proteins in the skeletal muscle of the <1 week age group (n=4 for WT and n=6 for DMDY/−), 475 with increased and 234 with reduced abundance in DMDY/− versus WT samples (Fig. 3A). At age 4 months (n=4 for WT and n=5 for DMDY/−), 285 differentially abundant proteins were detected, 264 with increased and 21 with reduced abundance in DMDY/− versus WT samples (Fig. 3B).
Functional annotation clustering (Fig. 3C) of the differentially abundant proteins showed that, in the DMDY/− piglets that died within the first week, proteins related to proteasome, extracellular matrix–receptor interaction, translational initiation and RNA catabolic process were more abundant, whereas proteins involved in NADH dehydrogenase complex assembly, oxidative phosphorylation, fatty acid degradation and morphogenesis were less abundant, than in age-matched WT piglets.
The samples from 4-month-old DMDY/− pigs revealed increased levels of proteins related to protein folding, platelet morphogenesis, hypertrophic cardiomyopathy and cardiac muscle contraction, and decreased levels of proteins involved in actin filament-based movement, calcium signaling and cellular carbohydrate metabolism.
In myocardium samples from the <1 week age group (n=4 for WT and n=4 for DMDY/−), 298 differentially abundant proteins were detected, 87 with increased and 211 with reduced abundance in DMDY/− versus WT samples (Fig. 4A). In myocardium samples from 4-month-old animals (n=4 for WT and n=5 for DMDY/−), 51 differentially abundant proteins were identified, 12 with increased and 39 with reduced abundance in DMDY/− versus WT samples (Fig. 4B).
Functional clusters enriched in DMDY/− piglets from the <1 week age group were glyoxylate and dicarboxylate metabolism, cellular amino acid metabolic process, actomyosin structure organization and cellular component assembly involved in morphogenesis. Proteins belonging to the clusters ribosome, translation and protein localization to endoplasmic reticulum were less abundant in DMDY/− versus WT samples (Fig. 4C).
Functional clustering of proteins with increased abundance in 4-month-old DMDY/− pigs revealed the terms acute inflammatory response and platelet degranulation. Proteins with decreased abundance in DMDY/− versus WT samples belong to the functional clusters cell adhesion, regulation of response to wounding, protein maturation, protein activation and extracellular structure organization (Fig. 4C).
Impaired cardiac function in 4-month-old DMDY/− pigs
To evaluate whether the proteome changes observed in myocardium are associated with impairments in cardiac function, we performed echocardiographic investigations of 4-month-old DMDY/− pigs (n=4) and age-matched WT controls (n=7). These studies revealed a 27% reduced left ventricular (LV) fractional shortening (P<0.01; Fig. 4D) and a 19% reduced LV ejection fraction (P<0.001; Fig. 4E) in DMDY/− compared to WT pigs. No significant dilation of the heart, decrease in the septal or parietal wall thickness were observed at this stage.
Fibrosis and increased connexin-43 levels in DMDY/− myocardium
Because fibrosis is an early feature of cardiomyopathy in DMD (Tandon et al., 2015), we evaluated the level of fibrosis in Masson’s trichrome-stained myocardium sections from DMDY/− and WT pigs of different age groups (Fig. 5A). Whereas at age <1 week the fibrotic area was not different between the groups, it was significantly increased in DMDY/− pigs at age 4 months and increased further in the 6-month age group (Fig. 5B).
Another aspect evaluated was the expression of connexin-43 [CX43; alias gap junction alpha-1 protein (GJA1)], which has recently been identified as a factor involved in dystrophic cardiomyopathy (Shaw and Saffitz, 2020). Immunofluorescence staining of myocardium sections revealed higher levels of CX43 in the youngest age group than in 4- or 6-month-old animals. In the latter two age groups, the levels of CX43 were higher in DMDY/− than in WT pigs (Fig. 5C,D).
Gastrointestinal changes in a proportion of DMDY/− pigs
Because gastrointestinal dysfunction including constipation has been observed in patients with later-stage DMD (Lo Cascio et al., 2016), this aspect was specifically investigated in 28 DMDY/− piglets from nine litters. Eleven DMDY/− piglets were registered with difficulties in defecation (repeated strain to eliminate feces), increasing abdominal girth, anorexia, or abdominal edema and ascites (detected by ultrasound scan) within the first weeks of life. Necropsy of animals euthanized after showing either one or more of the described conditions revealed accumulation of gas and ingesta in the jejunum and large intestine, associated with obstipation, dark coloration of the intestinal wall, infarction of the intestinal wall and/or ascites and fibrinous layers in the abdominal cavity. In the case of complete ileus, present in two animals, the intestinal wall showed porosity, with the subsequent part of the intestine being completely empty (Fig. S6A). In addition to the investigation of neonatal piglets, histomorphological evaluation of the gastrointestinal tract (GIT; esophagus, gastric cardia, fundus, pylorus, duodenum, jejunum, ileum, cecum, ascending colon, descending colon, rectum) was performed in 4-month-old DMDY/− piglets (n=6) and WT siblings (n=4). After staining with Masson's trichrome, sections of the different parts of the GIT (gastric cardia as an example in Fig. S6B) were evaluated for the presence of type I collagen fibers and scored with a system ranging from 1 to 5 (1, absent; 2, subsignificant; 3, mild; 4, moderate; 5, severe). Significantly (P<0.05) increased collagen in the DMDY/− pigs was revealed in sections of gastric cardia and pylorus as well as cecum (Fig. S6C). Gastrointestinal alterations were also observed in cloned Bama minipigs with DMD exon 51 mutations (Zou et al., 2021).
Cognitive impairment of DMDY/− pigs
To evaluate potential cognitive impairment of DMDY/− pigs (n=12), we performed two behavioral tests in comparison with male WT littermate pigs (n=13).
In the novel object recognition test, the exploration times of a known (Told) and a novel (Tnew) object were recorded over a period of 5 min. In all three replicates of the test, the total exploration time (Ttotal=Tnew+Told) was significantly (P=0.0237) shorter for the DMDY/− than the WT group (Fig. 6A). The proportion of time spent on the new object (on average 68% and 65% for DMDY/− and WT, respectively) was not different between the two groups (Fig. S7).
In a black and white discrimination test, the animals had access to a reward only via one of two doors labeled with a black or white spot. In the first trial round (following two training rounds), 6/12 DMDY/− pigs but only 2/13 WT pigs failed (P=0.0089). In the subsequent four trials, there was no difference between the two groups (Fig. 6B). In a sixth round, in which the positions of both doors were switched, all DMDY/− and WT pigs chose the wrong door.
These observations provide evidence for at least moderate cognitive impairment of DMDY/− pigs, mirroring the human phenotype (Peristeri et al., 2020).
Phenotypic alterations in DMD+/− carrier pigs
The incidence of skeletal muscle damage among female carriers of loss-of-function DMD mutations, including asymptomatic carriers, was reported as between 2.5% and 19%, and the incidence of dilated cardiomyopathy as between 7.3% and 16.7% (reviewed by Ishizaki et al., 2018). Therefore, we took advantage of the large number of DMD+/− animals in our pedigree to evaluate pathological lesions in skeletal muscles and myocardium.
The DMD+/− founder sow (#3040), who was clinically healthy throughout her life and did not show clinical evidence for muscle damage, was euthanized at an age of almost 7 years. Macroscopically, the heart showed severe dilation of the right ventricle associated with white, patchy discoloration of the epicard extending into the myocardium. The endocard displayed mild fibrosis (Fig. 7A). Histology showed severe myocardial infiltration of adipocytes (replacement lipomatosis), fibrosis and multifocal myocyte degeneration with inflammatory cell infiltrates consisting of eosinophils, macrophages/histiocytes, few lymphocytes and fibroblasts (Fig. 7B).
Because in most symptomatic human carriers, alterations become apparent around puberty (reviewed by Lim et al., 2020b), we performed systematic necropsies of 6-month-old DMD+/− pigs (n=20) and female WT siblings (n=5). The majority of the examined carrier pigs did not show macroscopic alterations of skeletal muscles or heart, but three animals (15%) showed prominent alterations, such as multiple white foci of myocardial necrosis and inflammation (Fig. 7C). Histomorphological alterations of heart (Fig. 7D, left) and skeletal muscles (Fig. S8) were scattered within the normal tissue structure, corresponding to the areas lacking dystrophin expression. These histological changes were exclusively observed in DMD+/− pigs; they were not observed in any of the examined WT animals. From this collective, a biobank containing samples from different skeletal muscles, different regions of the heart, as well as serum and plasma samples, was established (Table S4) and is available as a resource, e.g. for biomarker screening.
Next, we tested whether myocardial alterations can be detected at an earlier stage using a noninvasive procedure. Therefore, regional myocardial glucose uptake was determined by positron emission tomography (PET)/computed tomography (CT) with the glucose-analog 2-deoxy-2-[18F]fluoro-D-glucose (FDG) in 3-month-old DMD+/− pigs (n=5) and age-matched WT controls (n=5). Whereas the myocardial PET signals of most carriers ranged within the WT group, carrier #6224 revealed a distinctly reduced signal in the area of the left circumflex coronary artery (Fig. 7E,F).
DISCUSSION
In this study, we developed a scalable pig model for DMD. The model represents one of the most common human DMD mutations (deletion of exon 52) and strikingly mirrors the clinical, biochemical and pathological features of the human disease in an accelerated mode. Therefore, the model is highly suitable for testing new treatment strategies. Our initial model was based on DMD exon 52-deficient male cells, which were used to generate DMDY/− pigs by SCNT (Klymiuk et al., 2013). Although the model showed the clinical phenotype and provided new insights into the molecular DMD pathology in skeletal muscle (Fröhlich et al., 2016) and heart (Tamiyakul et al., 2020), the affected animals died before sexual maturity and could only be propagated by cloning. Epigenetic abnormalities associated with this biotechnology may affect the phenotype of the offspring, which was evident by a highly variable birth weight (Klymiuk et al., 2013). One possibility to overcome this limitation is blastocyst complementation, i.e. the generation of male-female chimeras in which the DMD phenotype is rescued by DMD intact female cells, whereas the germline is male and allows transmission of the DMD mutation to the next generation (Matsunari et al., 2018).
Here, we generated a female heterozygous DMD mutant founder sow, which allowed scaling up of the model by breeding. The founder sow (#3040) was clinically healthy throughout life and allowed breeding of a remarkable number of male DMDY/− offspring, but also of female DMD+/− carriers and WT offspring of the same genetic background. Propagation of the porcine DMD model by breeding provides the most appropriate WT controls and also allows studies of clinical and molecular features of DMD+/− carrier animals.
The clinical phenotype of DMDY/− pigs produced by breeding largely represented the phenotype of DMDY/− pigs produced by cloning; however, any interference of the cloning technology could be excluded. In particular, piglets with a very high or low body weight were not observed. A smaller proportion of the DMDY/− offspring showed an early postnatal, highly severe phenotype, limiting life expectancy to less than 1 week. These animals displayed pronounced pathological alterations of skeletal muscles but not of myocardium. The early losses are thus unlikely to be due to cardiac failure associated with dystrophin deficiency. With an improved management of the piglets, the proportion of early dying animals could be reduced. The majority of DMDY/− pigs had a life expectancy of 3-4 months, which is very suitable for testing new therapies, because life expectancy is a stringent readout of efficacy. Only rarely (n=3 out of 143), DMDY/− pigs reached an age of 6 months and beyond.
Owing to the rapid disease progression associated with early phenotypic readouts, the DMD model is suitable for experimental studies with its genetic background of a large hybrid pig. It would certainly be possible to cross the DMD mutation into a minipig background. A disadvantage would be the small litter size of minipigs, requiring a larger number of breeding sows to produce the same number of DMDY/− piglets.
In order to identify genetic determinants of life expectancy in DMDY/− pigs, we performed a genome-wide association study and identified three regions on chromosomes 6, 8, and 15 representing quantitative trait loci (QTL) with chromosome-wide significance. These regions do not contain genes for which variants are known to affect disease progression in DMD, such as osteopontin [secreted phosphoprotein 1 (SPP1)], latent TGFB protein 4 (LTBP4) (reviewed by Quattrocelli et al., 2017b) and Tctex1 domain containing 1 (TCTEX1D1, alias DYNLT5) (Spitali et al., 2020), in humans or JAGGED1 in dogs (Vieira et al., 2015). However, our mapping study identified specific haplotypes at the QTL region of chromosome 6 with positive or negative effects on life expectancy (Table S5). These can be used for future selective breeding in order to further consolidate the phenotype of the porcine DMD model.
The severe macroscopic and histological alterations of skeletal muscles in DMDY/− piglets that died within the first week were associated with marked changes of the proteome, with more than 700 differentially abundant proteins compared to age-matched WT samples. The major functional classes of proteins with increased or decreased abundance are in line with muscle degeneration, regeneration and impaired metabolic activity. Although no macroscopic or microscopic alterations of the heart were observed, the proteome of the myocardium showed substantial derangements, with almost 300 differentially abundant proteins.
Similarly, a larger number of proteome changes were detected in skeletal muscle of 4-month-old DMDY/− pigs, while proteomic derangements were less pronounced in myocardium. Overall, in skeletal muscle and myocardium, differentially expressed proteins and associated biological processes and pathways largely overlap with previous observations made in cloned DMDY/− pigs (Fröhlich et al., 2016; Tamiyakul et al., 2020).
An important aspect of the porcine DMD model is cardiac involvement, as shown by altered myocardial proteome profiles and, in particular, progressively increased fibrosis and elevated levels of CX43, the major ventricular gap junction protein. Increased CX43 protein content and redistribution of CX43 from gap junctions at intercalated disks to sites subjacent to the lateral sarcolemma (so-called lateralization) have been described in myocardium from DMD patients and mdx mice (reviewed by Shaw and Saffitz, 2020). A recent study in mdx mice showed that CX43 is involved in the pathogenesis of DMD cardiomyopathy and that hypophosphorylation at specific serine residues (S325/S328/S330) is related to changes in CX43 expression, distribution and function in DMD cardiomyopathy (Himelman et al., 2020). Dysregulation of CX43 expression in DMDY/− pigs provides an additional model for studying these mechanisms and answering the question whether CX43 expression can be normalized upon therapeutic restoration of dystrophin, e.g. by correcting the DMD reading frame via CRISPR/Cas9 (Moretti et al., 2020).
Particularly in the myocardium of advanced aged DMDY/− pigs (and DMD+/− carriers), a notable infiltration of eosinophils was observed, accompanying the typical DMD-associated multifocal polyphasic histopathological lesions. Extensive infiltration of eosinophils into areas of damaged myocardium has previously also been reported in human patients with myocardial infarction and in a corresponding pig model (Rios-Navarro et al., 2018), as well as in the mdx mouse model, in which eosinophils are involved in modulation of the inflammatory response, cardiac remodeling and promotion of fibrosis (Cai et al., 2000; Wehling-Henricks et al., 2008).
As observed in adolescent DMD patients (reviewed by D'Amario et al., 2017), 3-month-old DMDY/− pigs showed impaired systolic heart function, i.e. a 19% (P<0.001) reduced LV ejection fraction, which is consistent with early stages of dilatative cardiomyopathy (DCM). Additionally, LV fractional shortening, another diagnostic parameter for DMD-related DCM (Murphy et al., 2021), was 27% (P<0.01) smaller in DMDY/− versus WT pigs. Systolic cardiac dysfunction has also been described in the GRMD model, but only in adult animals between age 30 and 45 months (Guo et al., 2019). In contrast, the DMDY/− pig model develops – in line with the accelerated disease phenotype – early stages of heart failure, a major cause of death in DMD, already at a young age, offering timely readouts of efficacy of new therapeutic concepts.
In addition to heart failure and progressive muscle weakness, many patients with DMD have cognitive and/or behavioral problems, which have great impact on the quality of life of both patients and their families (reviewed by Darmahkasih et al., 2020). To evaluate whether DMDY/− pigs also exhibit these aspects of human DMD, we performed two behavioral tests, which both revealed significant differences from WT. In particular, the black and white discrimination test showed significantly impaired learning ability of DMDY/− pigs. Molecular profiling of different brain regions available in our dedicated DMD biobank may provide mechanistic insights into the cognitive deficits associated with DMD.
A ‘byproduct’ of generating DMDY/− pigs by breeding are DMD+/− carrier pigs, which can be used for breeding but also for pathophysiological studies. In the present study, we concentrated on alterations of the heart because cardiac manifestations are present in a significant proportion of DMD carriers (Adachi et al., 2018; Hoogerwaard et al., 1999).
Indeed, the 7-year-old DMD+/− founder sow (#3040) showed severe pathological alterations of the heart, and 3/20 DMD+/− carriers showed macroscopic or microscopic alterations at 6 months. The biobank established from this collective is an interesting resource to screen for biomarkers that correlate with disease severity. We also showed that myocardial glucose utilization, as detected by PET/CT, is a promising parameter for identifying DMD+/− carriers with cardiac abnormalities at an earlier age (3 months), which may be useful for longitudinal studies of disease progression in carriers or the translational validation of new therapeutic concepts. An example is targeted degradation of the nitric oxide synthase inhibitor asymmetric dimethylarginine, which was recently shown to improve cardiac function and exercise tolerance in mdx carrier mice (Garbincius et al., 2020).
Many therapeutic approaches for DMD are in development, aiming to restore dystrophin (e.g. gene replacement with microdystrophin, exon skipping, gene editing, stop-codon readthrough) or upregulate utrophin, or targeting downstream effects of dystrophin deficiency to preserve muscle tissue for as long as possible (reviewed by Duan et al., 2021; Kupatt et al., 2021). Our scalable pig model for DMD allows comparative testing of different therapeutic and diagnostic strategies. Proof of principle has been provided by testing a CRISPR/Cas9-based approach to restore an intact reading frame in DMDΔ52 pigs (Moretti et al., 2020) and by validating multispectral optoacoustic tomography as a new noninvasive imaging biomarker for assessing DMD disease progression (Regensburger et al., 2019). Importantly, groups of DMD+/− carrier sows can be estrus-cycle synchronized and inseminated with semen from the same boar to reliably produce large cohorts of DMDY/− pigs and WT littermate controls for studies with statistically relevant group sizes (see Tables S6 and S7 for group size calculations regarding improvements of the cardiac and behavioral phenotypes), allowing for fast and effective testing of new treatment options in a large-animal model for DMD with high clinical resemblance to the human phenotype, but accelerated disease progression.
MATERIALS AND METHODS
Generation of female DMD+/− carrier pigs and establishment of a breeding herd
All animal experiments were performed according to the German Animal Welfare Act and Directive 2010/63/EU on the protection of animals used for scientific purposes and were approved by the responsible animal welfare authority (Government of Upper Bavaria; permission 55.2-1-54-2532-163-2014).
All pigs were kept in the same barn on straw. Heat lamps were used to provide the piglets with an ideal microclimate during the first weeks of life. The farrowing pens were continuously monitored by camera. From the second week of life, the piglets were offered a grain mixture adapted to the needs of piglets. The microbiological status of the herd was routinely monitored [free from notifiable animal diseases according to §4 of the German Animal Health Act (TierGesG) and the Ordinance on Notifiable Animal Diseases (TierSeuchAnzV)].
Deletion of exon 52 of the porcine DMD gene was performed in principle as described in Klymiuk et al. (2013). In brief, the targeting BAC CH242-9G11 was modified to carry instead of exon 52 a neomycin resistance cassette. Subsequently, the modified BAC was nucleofected into a female primary kidney cell line (PKCf) of a German Landrace×Swabian-Hall hybrid background. Single-cell clones were generated according to Richter et al. (2012). From each cell clone, genomic DNA was isolated, and cell clones with a heterozygous deletion of DMD exon 52 were identified by comparing its copy number with those of two reference loci (POU5F1 and NANOG). Of 258 screened cell clones, nine had one intact and one DMD allele lacking exon 52. One of these cell clones was used for SCNT, and the reconstructed embryos were transferred laparoscopically to estrous cycle-synchronized recipient gilts (Kurome et al., 2015). A total of 14 embryo transfers resulted in four litters with seven live heterozygous DMDΔ52 (DMD+/−) piglets. One of them (#3040) could be raised to adulthood and served as founder of a DMD pig-breeding herd. Therefore, #3040 was inseminated with semen from wild-type German Landrace boars. For genotyping, PCR analyses of the offspring were performed using the primer pair 5′-TGCACAATGCTGGAGAACCTCA-3′/5′-GTTCTGGCTTCTTGATTGCTGG-3′ for the detection of the wild-type DMD allele and primer pair 5′-CAGCTGTGCTCGACGTTGTC-3′/5′-GAAGAACTCGTCAAGAAGGCGATAG-3′ to detect the DMDΔ52 allele. In addition to the founder sow #3040, six F1 and three F2 DMD+/− sows were inseminated with semen from WT boars to enlarge the breeding herd. Semen from a single DMDY/− boar (#6964) that could be raised to sexual maturity was used for insemination of four DMD+/− sows (one of them the founder, #3040).
In order to reduce the neonatal mortality of DMDY/− piglets, an improved management system was introduced. The most important point was to ensure sufficient colostrum intake during the first 12 h and intensive nursing during the first 5 days of life. The efficacy of these measures was monitored by weight control several times a day. Furthermore, the number of piglets per dam was reduced to avoid competition among them.
Blood collection and clinical chemistry
Animals had free access to food and water before blood collection from the right jugular vein. Blood samples were taken using Serum Monovettes® (Sarstedt, Nümbrecht, Germany). After clotting at room temperature for 30 min, serum was separated by centrifugation at 1800 g for 20 min at 4°C. The blood serum was stored at −80°C until further processing (storage period did not exceed 6 months). CK values were determined using the CKL ACN 057 kit on a Cobas 311 Analyser System (Roche).
Echocardiography
In order to evaluate the heart phenotype of the DMD pigs, we performed a standard 2D transthoracic echocardiography (Esaote MyLab X8) in DMDY/− (n=4) and WT pigs (n=7). All animals were born on the same day, raised in the same environment and examined at age 3 months (102 or 103 days). The same person performed all echocardiographic examinations. Owing to the obvious phenotypic difference between DMDY/− and WT pigs, the genotype of the animals was not blinded to the investigator.
The pigs were kept under general anesthesia, which was induced with 20 mg/kg ketamine (Ursotamin®, Serumwerke Bernburg, Bernburg, Germany) and 2 mg/kg azaperone (Azaporc®, Serumwerke Bernburg) and maintained with 4 mg/kg/h of propofol (Propofol 2%, Fresenius Kabi, Bad Homburg, Germany). Pigs were placed in right lateral recumbency.
Systolic function and dimensions of the heart were evaluated in the right parasternal long axis four-chamber view using the Teichholz formula in M-mode and the Simpson method of discs in B-mode. The average of three measurements over different heart cycles was taken. To rule out pathologies influencing cardiac function and morphology, a complete echocardiogram was performed.
PET/CT analysis of myocardial glucose uptake
PET/CT data acquisition was performed in 3-month-old DMD+/− carrier pigs (n=5) and WT controls (n=5). Two days before PET/CT examination, the animals were transported to the Walter Brendel Centre of Experimental Medicine (LMU Munich), where they were housed in individual cages in a temperature- and humidity-controlled room with feeding twice a day and free access to water.
For PET/CT acquisition, pigs (genotype not blinded for the investigator) were premedicated (intramuscular azaperone 2 mg/kg body weight, ketamine 20 mg/kg body weight) and transported to the Department of Nuclear Medicine (LMU Munich). In each ear, a catheter was placed in the vena auricularis caudalis, one for radiotracer application and one for maintenance of anesthesia (xylazine 1 mg/kg body weight; ketamine 20 mg/kg body weight). The venous access was also used to measure the blood glucose level (Accu-Chek Performa blood glucose meter). Respiratory rate was monitored and logged every 5 min. Body temperature was measured (electronic clinical thermometer, reer GmbH, Leonberg, Germany) immediately before the PET/CT scan and 60 and 80 min after tracer injection. In addition, an electrocardiogram (ECG) lead according to Einthoven was carried out during the entire measurement period to monitor the animals and to enable an ECG-triggered (10 gates/cycle) PET data analysis (Ivy Model 7600, Ivy Biomedical Systems, Branford, CT, USA). The pigs were placed in supine position on a vacuum mattress (VacuSoft, UNGER Medizintechnik GmbH & Co.KG, Mülheim-Kärlich, Germany) to keep the animals in the same position on the PET/CT scanner for the whole time. The PET/CT procedure was performed on a Siemens Biograph 64 TruePoint PET/CT scanner (Siemens Healthcare, Erlangen, Germany). At the beginning, an X-ray topogram was run to determine the exact location of the heart. A CT scan was performed and used for attenuation correction of the PET data. Simultaneously with bolus injection of the glucose-analog 2-deoxy-2-[18F]fluoro-D-glucose {[18F]FDG; 293.65±17.69 MBq}, PET acquisition (one bed position of 17.6 cm axial extent) was started for 60 min. ECG-gated data in the time window 30-60 min after injection were reconstructed [Siemens TrueX (3i21s)], including CT-based attenuation and model-based scatter correction (voxel size 2.67×2.67×3.0 mm3).
Image values were converted to standardized uptake values (SUV) using the body weight and the injected activity. End-systolic myocardial data were volumetrically sampled, and polar maps of left ventricular myocardial SUV were generated using a validated software (Lautamäki et al., 2009; Nekolla et al., 1998). After normalization to their maximum value, regional patterns of myocardial glucose uptake were evaluated using the 17-segment model of the American Society for Nuclear Cardiology (Dilsizian et al., 2016). Mean values in the segments corresponding to the territories of the coronary arteries (right coronary artery, left circumflex artery, left anterior descending) were determined for each dataset.
Histopathology
All animals were euthanized over the ear vein. Tissue specimens of various skeletal muscles (including triceps brachii muscle, gluteobiceps muscle, diaphragm and larynx muscle), of ventricular myocardium (each three transmural sections from the left, right and septal myocardium) and of the different parts of the gastrointestinal tract (GIT) were systematically sampled as described previously (Albl et al., 2016). Tissue samples were formalin fixed and routinely embedded in paraffin. Sections of 3 µm thickness were stained with Hematoxylin-Eosin (H&E). Giemsa-stained sections were prepared (Mulisch and Welsch, 2015) for facilitated demonstration of degenerative and necrotic muscle fiber alterations and differentiation of inflammatory cell populations (macrophages, lymphocytes, plasma cells, eosinophils and neutrophils). Stained sections were examined with a BX 41 light microscope (Olympus). Digital images were acquired at 20-fold objective magnification using a digital camera (DP 72, Olympus) and adapted software (VIS-Visiopharm Integrator System™ Version 3.4.1.0, Visiopharm A/S). Masson's trichrome stain using a standard protocol (Mulisch and Welsch, 2015) was performed for all GIT locations. Each section of the GIT was scored for intra- and submucosal accumulation of collagenous fibers as well as inflammatory mucosal alterations. Scoring system comprised the ranges 1-5 in accordance with the grade (absent, sub-significant, mild, moderate, severe, respectively) of fibrosis and inflammation. Pictures were taken using an orthoplan light microscope (851465, Leica Biosystems, Wetzlar, Germany) and the pathoZoom software (Smart in Media AG, Köln, Germany). The samples for histopathological investigation were not blinded to the investigator.
Immunohistochemistry
For immunohistochemical (IHC) detection of cellular DYS1 abundance patterns in paraffin sections of triceps muscle specimens, immunostaining was performed as described in Regensburger et al. (2019), using monoclonal mouse anti-DYS1 (rod domain; NCL-DYS1, clone Dy4/6D3, Leica Biosystems; dilution 1:20, overnight at 4°C) as primary antibody and biotinylated goat anti-mouse IgG (no. 115-065-146, lot 118375, Jackson ImmunoResearch; dilution 1:250, 1 h at room temperature) as secondary antibody. In all IHC experiments, appropriate negative control sections (omission of the anti-DYS1 antibody) were used. Bound antibodies were detected using the Vectastain Elite ABC HRP kit with 3.3′-diaminobenzidine tetrahydrochloride dihydrate (DAB) as chromogen (brown color). Meyer's hemalum was applied as counterstain. Stained sections were photographed at 20-fold objective magnification using a digital camera (DP 72, Olympus) with adapted software (VIS-Visiopharm Integrator System™ Version 3.4.1.0, Visiopharm A/S).
Immunofluorescence studies
Paraffin-embedded sections of 3 µm were prepared for histological analysis. In brief, sections were dewaxed, rehydrated in a descending alcohol series and subjected to antigen retrieval procedure using citrate buffer pH 6.0. Slides were washed with 1× PBS and blocked with 5% bovine serum albumin (BSA; Sigma-Aldrich, St Louis, MO, USA) for 30 min at room temperature to saturate non-specific binding sites. Then, the samples were incubated with rabbit anti-CX43 (ab3512, lot 7, Abcam) and mouse anti-cardiac troponin T (cTnT; ab8295, lot GR3357397-1, Abcam) antibodies diluted 1:100 in 0.5% BSA solution overnight at 4°C. After washing with 1× PBS, slides were incubated for 1 h at 37°C with fluorescent-conjugated secondary antibodies: goat anti-rabbit AlexaFluor488 (RRID AB_2576217, lot 1851447, Invitrogen; dilution 1:1000) and goat anti-mouse Alexa Fluor568 (RRID AB_2534072, lot 1862187, Invitrogen; dilution 1:1000). Nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI) for 30 min and washed twice with 1× PBS. An SP5 laser scanning confocal microscope (Leica Microsystems, Wetzlar, Germany) was used to acquire labeled samples. Analysis was performed in sequential scanning mode to rule out cross bleeding between channels, evaluating two cardiac areas of each animal (n=3 per genotype and age group except for DMDY/− >6 months, n=2). Immunofluorescence images for CX43 were converted into black and white using ImageJ software, according to the following sequence: Process>Binary>Convert to Binary. CX43 quantification, expressed as area of particles, was obtained using the command Analyze>Analyze Particles. The samples for CX43 quantification were not blinded to the investigator, but results were confirmed by a second independent investigator.
Quantification of cardiac fibrosis
Paraffin-embedded sections (3 µm) were dewaxed and rehydrated in a descending alcohol series. After washing, the samples were stained with Masson's trichrome kit reagents (HT15, Sigma-Aldrich) according to the manufacturer's protocol. Four histological cardiac areas for each animal (n=3 per genotype and age group except for DMDY/− >6 month, n=2) were evaluated to assess the size of the fibrotic area (blue staining) expressed as proportion (percentage) of the total area, using ImageJ software. The samples for quantification of fibrosis were not blinded to the investigator, but results were confirmed by a second independent investigator.
Sample preparation for proteome analysis
Frozen tissue samples from heart and skeletal muscle were transferred into prechilled tubes and cryo-pulverized in a CP02 Automated Dry Pulverizer (Covaris, Woburn, MA, USA) according to the manufacturer's instructions. Powdered tissue was lysed in 8 M urea/0.5 M NH4HCO3 by ultrasonicating (18 cycles of 10 s) using a Sonopuls HD3200 (Bandelin, Berlin, Germany). Pierce 660 nm Protein Assay (Thermo Fisher Scientific, Rockford, IL, USA) was used for protein quantification. Thirty micrograms of protein were digested with Lys-C (FUJIFILM Wako Chemicals Europe GmbH, Neuss, Germany) for 4 h and subsequently with modified porcine trypsin (Promega, Madison, WI, USA) for 16 h at 37°C.
Nano-liquid chromatography (LC)–tandem mass spectrometry (MS) analysis and bioinformatics
During MS data acquisition, samples were block randomized (Oberg and Vitek, 2009) to prevent introduction of experimental bias and to maximize the ability to detect quantitative changes between groups. For this, 1.5 μg of peptide was injected on an UltiMate 3000 nano LC system online coupled to a Q-Exactive HF-X instrument (Thermo Fisher Scientific). Samples were transferred to a PepMap 100 C18 trap column (100 µm×2 cm, 5 µM particles, Thermo Fisher Scientific) and separated on an analytical column (PepMap RSLC C18, 75 µm×50 cm, 2 µm particles, Thermo Fisher Scientific) at 250 nl/min with a 160-min gradient of 3-25% of solvent B followed by 10-min increase to 40% and 5-min increase to 85%. Solvent A consisted of 0.1% formic acid in water and solvent B of 0.1% FA in acetonitrile. MS spectra were acquired using a top 15 data-dependent acquisition method on a Q Exactive HF-X mass spectrometer.
Protein identification was done using Maxquant (v.1.6.17.0) (Tyanova et al., 2016), using its built-in search engine Andromeda (Cox et al., 2011) and the NCBI RefSeq Sus scrofa database (v.7-5-2020). Reverse peptides, contaminants and identifications only by site were excluded from further analyses. Proteins with at least two peptides detected in at least three replicates of each condition were tested for differential expression using the MS-EmpiRe pipeline (Ammar et al., 2019). To handle missing values, imputation was performed using the DEP package (Zhang et al., 2018). Proteins with a Benjamini–Hochberg (BH)-corrected P-value <0.05 and a fold-change ≥1.3 were regarded as significant. Data visualization was performed using the R Project for Statistical Computing with ggplot2 (Villanueva and Chen, 2019), ggfortify (Tang et al., 2016) and ComplexHeatmap (Gu et al., 2016). During data analysis, unsupervised clustering (PCA and hierarchical clustering) of blinded samples was performed to automatically discover natural grouping (genotype, age) in the data. Over-representation analysis for significantly altered proteins was performed using WebGestalt (Liao et al., 2019) and the functional categories ‘GO Biological Process nonRedundant’ and ‘KEGG’. BH method was used for multiple testing adjustment.
cLDLA
Genomic DNA was isolated from freshly docked tails of newborn DMDY/− piglets using a DNasy® Blood & Tissue Kit (Qiagen). Genome-wide SNP genotyping was performed by TZF Poing-Grub with PorcineSNP60 v2 Genotyping BeadChip (Illumina), featuring more than 64,000 SNPs that uniformly span the porcine genome. Markers of the SNP chip were remapped to the Sus scrofa reference genome assembly Sscrofa11.1 (Warr et al., 2020). During quality control, SNPs with an unknown position, a minor allele frequency lower than 0.025 and a call rate per marker lower than 0.9 were excluded. After quality control, 48,392 SNPs and 148 individuals with a genotype call rate higher than 0.95 remained for further analysis. Missing genotypes were imputed and haplotypes reconstructed using the software BEAGLE 5 (Browning et al., 2018). In total, 149 animals were genotyped including DMDY/− cases (n=125) as well as their parents and ancestors (n=24) in a complex pedigree structure. Genotyping of both parents allowed BEAGLE to perform high-quality haplotyping of all DMDY/− cases and their parents in the 133 trio (sire-dam-case) cohorts and thus substantially improved subsequent mapping. A subset of n=98 DMDY/− pigs was selected for genome-wide mapping to ensure that only animals that died spontaneously or had to be euthanized in a terminal condition were included. The genome-wide mapping of QTL was performed using a combined linkage disequilibrium and linkage analysis (cLDLA) approach, as reported in Meuwissen et al. (2002) and adapted by Medugorac et al. (2017) and Gehrke et al. (2020). First, a genomic relationship matrix (Powell et al., 2010) was estimated and used for prediction of random polygenic effects. Moreover, the genomic relationship matrix considered and corrected for complex family relationships in our mapping population. Second, for sliding windows consisting of 40 SNPs, identity by descent (IBD) probabilities for pairs of haplotypes (Meuwissen and Goddard, 2001) were estimated. The estimated haplotype IBD probabilities were then converted into a locus-specific diplotype relationship matrix as suggested by Lee and Van der Werf (2006). These locus-specific diplotype relationship matrices were used for prediction of random QTL effects. The variance component analysis and likelihood estimation were performed in the mixed linear model with two random effects (QTL and polygenic) using the ASReml package. To estimate QTL effects at specific positions in the genome, variance component analysis in the middle of each of the 40 SNPs windows sliding along genome was implemented. Using the logarithm of the likelihood estimated by ASReml for the model with [log(L1)] and without [log(L0); corresponding to the null hypothesis] QTL locus effects, we calculated the likelihood-ratio test (LRT) statistic [LRT=−2(log(L0)−log(L1))], which is known to be χ2 distributed with 1 degree of freedom. Appropriately, an LRT value higher than 11.0 was considered chromosome-wide significant (equivalent to Bonferroni-corrected P<0.05, i.e. P<0.0009 divided by the average number of independent 40 SNP windows per chromosome). An LRT value higher than 16.5 was considered genome-wide significant. This threshold corresponds to a Bonferroni-corrected P<0.05, i.e. P<0.000049 divided by the number of genome-wide independent 40 SNP windows. Gehrke et al. (2020) demonstrated that cLDLA can be used for mapping of quantitative (as well as binary) traits. In the present study, cLDLA mapping was performed with life expectancy as quantitative variable, i.e. length of life in days.
Behavioral tests
We used 12 DMDY/− and 13 male WT littermates for the behavioral trials. The animals were from four litters born at the same day. After weaning, all animals were kept in two genotypically mixed groups under standardized conditions. Training started at age 4 weeks. Trials started at age 5 weeks and ended at age 8 weeks. To standardize the experiments and to minimize all external influences, the training rounds for all animals took place on the same day and alternately for both genotypes. The genotype of the animals was thus deliberately not blinded to the investigator. All animals were habituated under standardized conditions to human contact, short-term isolation and floor conditions in the start and trial boxes. The piglets were conditioned to receive banana juice from a blue dish. All experiments were performed in a trial box (3.0×1.8 m) in the same room in which the animals were kept. During the trials, the animals were able to have acoustic but no visual contact. The ground of the trial box was completely perforated and cleaned between the rounds to avoid any influence of smells from previous rounds or animals.
Before starting the test, every animal was kept in the start box (0.5×1.8 m) for 1 min to ensure uniform starting conditions. For both genotypes, trial numbers were assigned alternately. The animals always needed to pass the experiments in the same order. All experiments were recorded by a Canon EOS 550D camera.
A novel object recognition test was performed according to Lueptow (2017) and Sondergaard et al. (2012). The animals were kept for 5 min in the experimental box with two objects with the same structure but different shape and color. Red shades were avoided, because of the visible color spectrum of the pig's eye. For this time frame, the animals were able to explore both objects. Afterwards, they were returned to their group for 15 min. After this time, the animals were placed back in the experimental box with a new and an old object. The exploration time for each object was measured when the pig’s nose was within a defined zone around the object (0.3×0.3 m). The exploration times of the new (Tnew) and of the old object (Told) as well as the total exploration time (Ttotal=Tnew+Told) were recorded. The test was repeated after 15 min, 1 day and 1 week.
A black and white discrimination test was designed as a modified T-maze test (Wu et al., 2018). Animals were placed in a trial box, which was separated by a wall with two transparent doors (polystyrene; 0.25×0.4 m). The left door was marked with a black spot (diameter 10 cm) and the right door with a white spot (diameter 10 cm). Behind both doors, blue dishes with banana juice were visible. Before the trials, every piglet underwent two rounds of training to learn that only through the black door do they get access to the reward (banana juice). The first door the piglet chose was scored. Five rounds were performed this way. At the sixth round, the locations of both doors were switched, but still the black door offered access to the reward.
Statistical analysis
Body weight data were analyzed using PROC MIXED (SAS 9.4; SAS Institute), taking the effects genotype, age and interaction genotype×age as well as the random effect of animal into account. Least squares means (LSMs) and standard errors of LSMs were calculated for genotype×age and compared using unpaired Student’s t-tests. Myocardial fibrosis and CX43 expression data as well as results of the novel object recognition test were statistically evaluated using PROC GLM (SAS 9.4), taking the effects of genotype, age/time and interaction genotype×age/time into account. Results of the black and white discrimination test were evaluated by chi-square analysis. Data from echocardiography were compared using unpaired Student’s t-test. For fibrosis scores of the GIT, Mann–Whitney U-test, one-sided was used. Differences between groups were considered as significant at P<0.05. Sample size calculations (power, 0.8; alpha, 0.05) for future preclinical trials using the DMD pig model were performed in analogy to Hornby et al. (2021) for cardiac and behavioral parameters with 25%, 50%, 75% and 100% improvement as minimum effects. The sample size calculation was performed using the statistical software BIAS for Windows 11.12 (Epsilon, Frankfurt, Germany). Results are presented in Tables S6 and S7.
Acknowledgements
SNP genotypes of WT sires were provided by Martin Heudecker (Erzeugergemeinschaft für Zucht- und Hybridzuchtschweine in Bayern w. V., Poing-Grub) and Kay-Uwe Götz (Institut für Tierzucht, Bayerische Landesanstalt für Landwirtschaft, Poing-Grub). We thank Harald Paul for excellent animal care; Christina Blechinger and Tatjana Schröter for excellent technical assistance; and Sophia Grotz, Melanie Janda, Stefanie Egerer, Isabel Hofmann and Georg Dhom for help with tissue sampling.
Footnotes
Author contributions
Conceptualization: M.C.W., N.K., A. Blutke, E.W.; Methodology: M.S., L.M.F., M.L., M.C., A.L., I.M., B.K., M.K., V.Z., E.K., S.K., R.W., G.J.A., G.W., H.N., M.H.d.A., F.F., C.B., R.R., S.R., K.M., M.C.W., C. Kupatt, S.Z., P.B., T.F., N.K., A. Blutke; Validation: E.W.; Formal analysis: M.S., L.M.F., B.S.; Investigation: M.S., L.M.F., B.S., M.L., M.C., A.L., C. Kaufhold, C.M., I.M., B.K., M.K., V.Z., A.H., E.K., S.K., R.W., G.J.A., G.W., H.N., M.H.d.A., F.F., L.A.K., C.B., R.R., A. Baehr, K.M., M.C.W., C. Kupatt, S.Z., P.B., T.F., N.K., A. Blutke, E.W.; Resources: E.W.; Data curation: I.M.; Writing - original draft: M.S., L.M.F., E.W.; Writing - review & editing: M.S., L.M.F., B.S., M.L., M.C., A.L., C. Kaufhold, C.M., I.M., B.K., M.K., V.Z., A.H., E.K., S.K., R.W., G.J.A., G.W., H.N., M.H.d.A., F.F., L.A.K., C.B., R.R., A. Baehr, S.R., K.M., M.C.W., C. Kupatt, S.Z., P.B., T.F., N.K., A. Blutke, E.W.; Visualization: M.S., L.M.F., B.S., M.L., M.C., C.M., I.M., E.W.; Supervision: E.W.
Funding
This project was supported by the ForTra gGmbH für Forschungstransfer der Else Kröner-Fresenius-Stiftung (2018_T20). In addition, the project received funding from the European Union's H2020 Marie Skłodowska-Curie Actions (812660, DohART-NET; 760986, iNanoBIT). Open Access funding provided by the Ludwig-Maximilians-Universität München. Deposited in PMC for immediate release.
Data availability
The proteome dataset is available at ProteomeXchange (PXD027772).
References
Competing interests
The authors declare no competing or financial interests.