CILP-1 Inhibitors for Use in the Treatment of Dilated Cardiomyopathies
20230220391 · 2023-07-13
Assignee
- Genethon (Evry-Courcouronnes, FR)
- Universite D'evry Val D'essonne (Evry, FR)
- Institut National de la Santé et de la Recherche Médicale (Paris, FR)
Inventors
Cpc classification
C12N2320/32
CHEMISTRY; METALLURGY
A61P9/04
HUMAN NECESSITIES
C12N2750/14143
CHEMISTRY; METALLURGY
C12N15/113
CHEMISTRY; METALLURGY
International classification
C12N15/113
CHEMISTRY; METALLURGY
A61P9/04
HUMAN NECESSITIES
Abstract
The present disclosure relates to the treatment of dilated cardiomyopathies, in particular to 5 the use of an inhibitor of CILP-1.
Claims
1-15. (canceled)
16. A method of treating dilated cardiomyopathies in a patient in need thereof, comprising administering to the patient a therapeutically effective amount of a CILP-1 inhibitor.
17. The method according to claim 16, wherein said CILP-1 inhibitor is a nucleic acid interfering with CILP-1 expression.
18. The method according to claim 16, wherein said CILP-1 inhibitor is a shRNA interfering with CILP-1 expression.
19. The method according to claim 16, wherein said CILP-1 inhibitor is a shRNA interfering with CILP-1 expression, which is encoded by a nucleic acid construct.
20. The method according to claim 19, wherein said nucleic acid construct comprises at least one sequence selected from the group consisting of: SEQ ID NO: 1 to 4.
21. The method according to claim 19, wherein said nucleic acid construct comprises the sequences SEQ ID NO: 1 to 4.
22. The method according to claim 19, wherein the nucleic acid construct is packaged into a viral particle.
23. The method according to claim 19, wherein the nucleic acid construct is packaged into an adeno-associated viral (AAV) particle.
24. The method according to claim 19, wherein said nucleic acid construct is packaged into an AAV particle and further comprises 5′-ITR and 3′-ITR of AAV-2 serotype or a 5′ITR and a 3′ITR corresponding to the serotype of the selected AAV particle.
25. The method according to claim 19, wherein said nucleic acid construct is packaged into an AAV particle comprising an AAV capsid protein derived from AAV serotypes selected from the group consisting of: AAV serotypes 1, 6, 8, 9 and AAV9.rh74.
26. The method according to claim 19, wherein said nucleic acid construct is packaged into an AAV particle comprising an AAV capsid protein derived from AAV-9.rh74 serotype.
27. The method according to claim 19, wherein said nucleic acid construct is packaged into a viral particle that is administered intravenously.
28. The method according to claim 16, wherein said dilated cardiomyopathy is a genetically induced cardiomyopathy caused by mutation(s) in a gene selected from the group consisting of: laminin, emerin, fukutin, fukutin-related protein, desmocollin, plakoglobin, ryanodine receptor 2, sarcoplasmic reticulum ca(2+) ATPase 2 isoform alpha, phospholamban, lamin a/c, dystrophin, telethonin, actinin, desmin, sarcoglycans, titin, myosin, RNA-binding motif protein 20, BCL-2 associated athanogene 3, desmoplakin, sodium channels, cardiac actin, cardiac troponin and tafazzin.
29. The method according to claim 16, wherein said dilated cardiomyopathy is a genetically induced dilated cardiomyopathy caused by mutation in titin or dystrophin gene.
30. The method according to claim 16, comprising administering a pharmaceutical composition comprising the CILP-1 inhibitor and a pharmaceutical excipient.
Description
FIGURE LEGENDS
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EXAMPLES
[0154] 1. Material and Methods
[0155] 1.1 Mouse Models
[0156] The mice used in this study were male titinMex5−/Mex5− (DeltaMex5) and DBA/2J-mdx (DBA2mdx) strains, and their respective controls, strains C57BL/6 and DBA/2. DeltaMex5 mice are mice in which the penultimate exon of Titin is deleted by CRISPR-Cas9 technology (Charton, K., et al. 2016, Human molecular genetics 25, 4518-4532). DBA2mdx mice are a model of Duchenne muscular dystrophy due to a point mutation on exon 23 of the dystrophin gene. DBA2mdx mice are on a DBA/J background which has a mutation on the LTBP4 gene, a protein that regulates the activity of the TGF signalling pathway-β (Fukada, et al. 2010. Am J Pathol 176, 2414-2424). All the mice are handled in accordance with the European directives for the care and use of laboratory animals by humans, and the animal experimentation has been approved by the Ethics Committee for Animal Experimentation C2AE-51 of Evry under the numbers of Project Authorisation Application 2015-003-A and 2018-024-B.
[0157] 1.2 Muscle Sampling and Freezing
[0158] The muscles of interest are collected, weighed and frozen in liquid nitrogen (samples for molecular biology analysis) or in cooled isopentane (samples for histology), after being placed transversely or longitudinally on a piece of cork coated with gum arabic. The hearts are frozen in diastole before being frozen with a diluted butanedione solution (5 mM) in tyrode. The samples are then stored at −80° C. until use. For the Sirius Red Fibrosis observation protocol on the whole heart, the hearts are included whole in paraffin and stored at room temperature. For the transparency protocols, the sampled hearts are stored whole in 4% para formaldehyde and kept at +4° C.
[0159] 1.3 Haematoxylin-Phloxine-Safran Staining
[0160] The Hematoxylin-Phloxine-Safran (HPS) marking allows to observe the general appearance of the muscle and to highlight the different tissue and cell structures. Haematoxylin colours nucleic acids dark blue, phloxine colours the cytoplasm pink, saffron colours collagen red-orange. Cross sections are stained with Harris hematoxylin (Sigma) for 5 min. After washing with water for 2 min, the slides are immersed in a 0.2% (v/v) hydrochloric alcohol solution for 10 s to remove excess stain. After being washed again with water for 1 min, the tissues are blued in a Scott water bath (0.5 g/l sodium bicarbonate and 20 g/l magnesium sulfate solution) for 1 min before being rinsed again with water for 1 min and stained with phloxine 1% (w/v) (Sigma) for 30 s. After rinsing with water for 1 min 30 s, the cuts are dehydrated with 70° ethanol for 1 min and then rinsed in absolute ethanol for 30 s. The tissues are then stained with saffron 1% (v/v in absolute ethanol) for 3 min and rinsed in absolute ethanol. Finally, the cuts are thinned in a Xylene bath for 2 min and then mounted with a slide in the Eukitt medium. Image acquisition is performed with objective 10 on a Zeiss AxioScan white light microscope coupled to a computer and a motorized stage.
[0161] From HPS coloured sections, the centronucleation index is calculated by the ratio of the number of centronucleated fibres to the area of the section in mm2.
[0162] 1.4 Sirius Red Coloration
[0163] Sirius Red staining allows the collagen fibres to be coloured red and to highlight the presence of fibrotic tissue. Cytoplasms are stained yellow. Cross sections are dehydrated with acetone for 1 hour for frozen cuts or dewaxed with heat and toluene baths. They are then fixed with 4% formaldehyde for 5 min then 10 min in a Bouin solution. After two washes with water, the slides are immersed in Sirius Red solution (0.1 g Sirius Red per 100 mL picric acid solution) for 1 h for staining. After rinsing with water for 1 min 30 s, the slices are dehydrated in successive ethanol baths: 70° ethanol for 1 min, 95° ethanol for 1 min, absolute ethanol for 1 min and then a second absolute ethanol bath for 2 min. Finally, the slices are thinned in two Xylene baths for 1 min and then mounted with a lamella in the Eukitt medium. Image acquisition is carried out with objective 10× on a Zeiss AxioScan white light microscope coupled to a computer and a motorized stage. The polarized light images were acquired using a modified right LEICA microscope.
[0164] 1.5 Quantification of Sirius Red
[0165] Sirius Quant
[0166] Sirius Quant is an internally developed ImageJ pluggin (Schneider et al., 2012). It is a thresholding macro that allows to isolate and quantify the pixels of the image that are colored red. It works in 3 steps: the first one is to convert the image to black and white. The images resulting from the Red Sirius colorations are very contrasted, so a simple black and white conversion is enough to keep all the useful information. The second one is a very rough thresholding in order to keep only the colored pixels of the image, in other words the pixels belonging to the whole cut. Using the Analyze Particles function with an adapted object size allows automatic detection of the outline of the slice, which is then stored. The third step is a manual thresholding by the user which allows to keep only the pixels colored in red, those associated with the marking. A manual correction tool makes it possible either to remove areas that would have been detected and that are not marking (dust, cut fold, etc.), or to add areas that would not have been taken into account. Once the thresholded image is satisfactory, the number of thresholded pixels and the total number of pixels in the entire section are then measured. A ratio between these two numbers finally gives the fibrosis index in the slice.
[0167] WEKA
[0168] The images were processed using an artificial intelligence algorithm via the WEKA plugin (ImageJ). The WEKA classifier pluggin was implemented using a training data set containing 17 images representative of the different conditions to be classified. The classes were assigned to healthy tissue (yellow), to both types of staining and to slice rupture (white). The original mappings are mosaic images with a size of approximately 225 megapixels (15 k×15 k), which were divided into 400 frames (20 rows, 20 columns), each frame measuring approximately 750×750 pixels. Each frame is classified independently and the complete image is then reconstructed. The number of pixels in each class is measured. The total number of pixels belonging to the heart is calculated as the sum of the healthy tissue and the two types of dye uptake. The ratio of each class is then calculated by dividing the number of pixels in the class by the total number of pixels in the heart.
[0169] Whole-Heart Reconstruction and Quantification
[0170] Sections of a whole heart colored by Sirius Red were scanned with a scanner (Axioscan ZI, Zeiss) with a 10×lens. A total of 483 images were obtained. They were aligned using Imagers pluggin: Linear Stack Alignment with SIFT (Lowe et al., International Journal of Computer Vision, 2004, 60, 91-110). Some images were manually aligned when the software did not allow a satisfactory alignment. The image was loaded into Imaris (BitPlane, USA) for reconstruction and 3D visualization. Once the images were aligned, the Sirius Quant pluggin in fully automatic mode using Otsu thresholding (Otsu N, Cybernetics, 1979, 9, 62-66) resulted in 483 fibrosis ratio values corresponding to each image. These values were filtered using the sliding average method, which is a method of reducing noise in a signal to avoid the errors inherent in automating an algorithm. The use of the moving average allows to limit these errors by replacing each fibrosis ratio of an image by the average of itself, the ratio of the image preceding it and the ratio of the image following it.
[0171] 1.6 Fluorescence Immuno-Histo Labeling
[0172] The slides are taken out of the freezer and allowed to dry at room temperature for 10 minutes, after which the cuts are wrapped with DAKOpen. The slices are then rehydrated for 5 min in PBS 1×. If the protein of interest is located in the nucleus, the slices are permeabilised for 15 min in a 0,3% triton solution in PBS 1×, then washed 3 times in PBS for 5 min. The slices are then saturated with 10% goat serum, 10% fetal calf serum, PBS 1× for 30 min at room temperature in a humidity chamber. The saturation medium is replaced by the primary antibody solution diluted in PBS 1×+10% blocking solution overnight at 4° C. in a wet chamber. Four successive washes in 1× PBS for 5 minutes are performed before hybridizing with the secondary antibody solution coupled with an Alexa 488 or 594 (1/1000) fluorochrome coupled fluorochrome in 1× PBS+10% blocking solution for 1 h at room temperature in a light-protected wet chamber. A final series of four 5-minute washes in PBS 1× is performed and a fluoromount slide assembly containing DAPI is performed. The sections are then visualized using a fluorescence microscope (Zeiss AxioScan or Leica TCS-SP8 confocal microscope).
TABLE-US-00002 TABLE 1 List of antibodies used in immunohistology Antibody Species Supplier Reference Dilution Collagen I Mouse Abeam ab6308 1/100 Collagen III Rabbit Abeam ab7778 1/100 Fibronectin Mouse Sigma F7387 1/200 Vimentine Mouse Chemicon MAB3400 1/100 Vinculine Mouse Sigma V9131 1/100 Actin F Mouse Abeam ab205 1/100 Titine N2B Rabbit Myomedix #6678 1/75 Titanium Rabbit Myomedix #3375 1/75 M8M9 Titanium IS7-1 Rabbit Genescript LVEEPPPREVVLKTSC 1/2 (SEQ ID NO: 5) M10-1 Rabbit Genescript IEALPSDISIDEGKV 1/75 Titanium (SEQ ID NO: 6) α-synemin Rabbit SantaCruz sc-68849 1/25 Obscurine Rabbit Atlas HPA040066 1/50 Antibody Myosprin Rabbit Abeam ab75351 1/25 Cilp Rabbit biorbyt orb182643 1/100
[0173] 1.7 RNA Extraction and Quantification
[0174] Frozen isopentane muscle is cut into 30 μm thick slices on a cryostat (LEICA CM 3050) at −20° C., separated into eppendorf tubes of about 10-15 slices and stored at −80° C. The TRIzol® method for the extraction of total RNA, based on the solvency properties of nucleic acids in organic solvents, is used.
[0175] The muscle recovery tubes are resupplied with 0.8 mL of TRIzol® (ThermoFisher) supplemented with glycogen (Roche) at a rate of 0.5 μL/mL of TRIzol®. The tubes are placed in the FastPrep-24 (Millipore) homogenizer for a 20 s, 4 m.s. cycle. To recover nucleic acids, after a 5-minute incubation on ice, 0.2 mL of chloroform (Prolabo) is added and mixed with TRIzol®. After incubation for 3 minutes at room temperature, the two phases, aqueous and organic, are separated by centrifugation at 12000 g for 15 minutes at 4° C. The aqueous phase, containing the nucleic acids, is removed and placed in a new tube. The RNAs are then precipitated by the addition of 0.5 mL isopropanol (Prolabo) followed by a incubation for 10 minutes at room temperature and centrifugation for 15 minutes at 12000 g at 4° C. The nucleic acid pellet is washed with 0.5 mL 75% ethanol (Prolabo) and again centrifuged for 10 minutes at 12000 g at 4° C. and then air-dried. The nucleic acids are taken up in 50 μL of nuclease free water, 20 μL are set aside for viral DNA analysis, 30 μL are added to RNAsin (Promega) diluted at 1/50 to preserve the RNAs from degradation. The RNAs are then treated with TURBO Dnase (Ambion) to remove residual DNA. A double Dnase treatment is performed for samples intended for sequencing.
[0176] For transcriptome analysis specific to signaling pathways, RT2 Profiler PCR Array (Qiagen) plates are used. The screening plates require the use of a compatible RNA extraction kit, the RNeasy Mini Kit (Qiagen) which extracts the RNA on columns, the kit is used following the supplier's instructions, and the RNAs are then processed by Free DNAse RNAse (Qiagen).
[0177] An OD reading is then taken on the ND-8000 spectrophotometer (Nanodrop), from 2 μL of RNA to determine their concentration. RNA is stored at −80° C. and DNA at −20° C.
[0178] 1.8 Measurement of RNA Quality
[0179] In the case of RNAs prepared for sequencing, the quality of the RNAs is measured on the Bioanalyzer 2100 (Agilent) which performs capillary electrophoresis of nucleic acids and then their analysis. The quality is visualized by the retention rate and the concentration of the sample in the form of electrophoregrams. A quality score expressed in RIN (for RNA Integrity Number) is calculated for each sample, on a scale of 0 to 10. The RNA Nano chip (Agilent) is used according to the supplier's instructions. A size marker (RNA 6000 Nano Ladder, Agilent) is passed first, to allow evaluation of RNA size in the samples. A marker is added to each sample, emerging at a defined size. For each sample, 1 μL of RNA is deposited on the chip. On the RNA electrophoregram, the ribosomal RNA peaks are observed: 28S (around 4000 nt), 18S (around 2000 nt) and 5S (around 100 nt). The internal marker emerges at the 25 nt position. The INR is calculated as a function of the height and position of the 18S and 28S peaks, the ratio between the 5S, 18S and 28S peaks, and the signal-to-noise ratio. For RNA-seq, the required quality requires an INR of at least 7.
[0180] 1.9 Real-Time Quantitative PCR
[0181] Genomic and viral DNA are quantified by qPCR and gene expression by Real-time quantitative PCR. Reverse transcription step is performed on the entire messenger RNA using the RevertAid H Minus First Strand cDNA Synthesis Kit (Thermo-Fisher). Two types of oligonucleotides: so-called “random” hexamers, containing random sequences, and “dT” oligonucleotides, deoxy-thymine polymers, which hybridize to the polyA sequences, making it possible to generate cDNAs in their entirety. The mix used is shown in Table 2.
TABLE-US-00003 TABLE 2 Reaction mixture for reverse transcription Product Quantity RNA 1 μg Random hexameres + 1/10 50 ng OligodT Reaction buffer 5X ⅕ dNTP 500 μM of each Ribolock Rnase Inhibitor 40 U/μl 0.25 U RevertAid H-Minus 200 U/μL 200 U Water qsp 20 μL
[0182] The mixture is placed in a thermal cycler for the following cycle: 10 min at 25° C., then 1 h15 at 42° C., temperature of action of the enzyme, then the enzyme is inactivated 10 min at 70° C. The cDNAs are stored at +4° C. in the short term or at −20° C. in the long term.
[0183] Real-time quantitative PCR is performed either on genomic or viral DNA for vector titration and measurement of vector copy number in tissues, or on cDNA obtained from RNA for quantification of transcripts. It is performed on the LightCycler 480® (Roche) 384-well plate. The nuclease activity of the Thermo-Start DNA Polymerase enzyme contained in AB solute QPCR ROX Mix (ThermoFisher) allows the detection of PCR products at each amplification cycle by release of a fluorescent reporter. This fluorescent reporter is a fluorophore (FAM, for 6-carboxyfluorescein or VIC, for 2′-chloro-7′phenyl-1,4-dichloro-6-carboxy-fluorescein) is located 5′ from the nucleotide probe which is also labelled with a quencher (TAMRA, for tetramethylrhodamine) in 3′. Separation of the reporter and the quencher results in the fluorescence of the reporter, which is measured by the apparatus. The mixtures for each gene of interest are composed of the two oligos F (forward, sense) and R (reverse, antisense) at 0.2 mM and the corresponding 0.1 mM probe. Commercial mixtures of 20×Taqman Gene Expression Assay (ThermoFisher) primers corresponding to the mRNAs to be quantified bearing the FAM reporter are used (Table 7). The ribophosphoprotein acid gene RPLP0 coding for a ribosomal protein, invariant under the different conditions, was chosen as the normalizing gene using the VIC reporter. The primers and Taqman probe used for amplification of RPLP0 are as follows: m181PO.F (5′-CTCCAAGCAGATGCAGCAGA-3′ (SEQ ID NO: 7)), m267PO.R (5′-ACCATGATGATGCG CAAGGCCAT-3′ (SEQ ID NO: 8)) and m225PO.P (5′-CCGTGGTGCTGATGGGGGGCAAGA A-3′ (SEQ ID NO: 9)). DNA samples are either cDNA samples obtained after reverse transcription or viral DNA. The PCR reaction takes place in 384-well plates, each well is duplicated in the quantities shown in the Table 3.
TABLE-US-00004 TABLE 3 Reaction mixture for quantitative PCR Product Quantity DNA 50 ng Thermo Scientific 1X Absolute qPCR ROX Mix TaqMan Gene Expression 20X FAM 0.5X Standardizer RPLPO 20X VIC 0.5X Water qsp 10 μL
[0184] The following PCR program is applied: pre-incubation 15 minutes at 95° C., then 45 amplification cycles of 15 seconds at 95° C. followed by 1 minute at 60° C. using the LightCycler480 (Roche).
TABLE-US-00005 TABLE 4 List of Taqman Gene Expression primers used Gene Reference Gene Reference miR 142-3p hsa-miR-142-3p Tgfb1 Mm01178820_m1 miR 21 hsa-miR-21 Ctnnb1 Mm004893039_m1 miR 31 mmu-miR-31 mCilp Mm00557687_m1 Col1a1 Mm00801666_g1 hCilp Hs01548460_m1 Myh8 Mm01329494_m1 GFP Mr 03989638 Tmem8c Mm00481256_m1 mLtbp2 Mm01307379_m1 Nppa Mm01255747_g1 hLtbp2 Hs00166367_m1 Myh7 Mm0060555_m1 mWisp2 Mm00497471_m1 Myh6 Mm00440359_m1 hWisp2 Hs1031984_m1 Fn Mm01256744_m1 mDkk3 Mm00443800_m1 Vim Mm01333430_m1 hDkk3 Hs00247429_m1 Col1a1 Mm00801666_g1 mSfrp2 Mm01213947_m1 Col3a1 Mm00802300_m1 hSfrp2 Hs00293258_m1 Timp1 Mm01341361_m1
[0185] The cycle quantification is calculated with the LightCycler® 480 SW 1.5.1 software (Roche) using the maximum second derivative method. Quantitative PCR results are expressed in terms of “Cq”, the number of cycles after which a threshold fluorescence value is reached. This value is then normalized to the value obtained for the reference gene RPLP0.
[0186] Mitochondrial PCR kits (PAMM-087Z) and WNT (PAMM-243Z) and TGF-B (PAMM-235Z) target screening are used according to the manufacturer's instructions (RT2 Profiler PCR Arrays, Qiagen). RNA extraction is performed from frozen tissue using the RNasy® Micraoarray tissue kit (Qiagen) and processed with the RNase-Free DNase set (Qiagen). The cDNA is obtained from 500 ng RNA using the RT2 first strand kit (Qiagen) and is used as a template for PCR. The qRT-PCR is performed using the LightCycler480 (Roche, Basel, Switzerland).
[0187] 1.10 RNA Sequencing
[0188] The samples used for sequencing are total RNA extracted with TRIzol, treated twice with DNAse and having an INR quality >7. 7. Samples of 2 μg RNA at 100 ng/μL were sent for sequencing to Karolinka Institutet. The sequencing library used was prepared with the TruSeq Stranded Total RNA Library Prep Kit (Illumina) and sequencing was performed according to the Illumina protocol. The reads are associated using Fastq-pair and aligned to the mouse genome (mm10) using STAR align. The number of reads is proportional to the abundance of corresponding RNAs in the sample. The sequencing platform then provides several files per sample, containing the alignment files in barn format, the list of genes identified with the number of reads for each sample compared and the list of genes accompanied by a normalized numerical count value expressed in fragments per kb per million reads (FPKM).
[0189] Once the files containing the lists of sequenced transcripts were received, the first step in comparing the samples with each other was to merge the files of the different samples. The goal is to obtain a single table containing, for each transcript identified in the study, its number of reads in each sample. Then, an analysis under the R software was performed with the DESeq2 package: from the number of reads, the samples are normalized, and the differential gene expression for each sample is calculated with respect to its control. The expression difference values (or fold change) are expressed in binary logarithm (log2.FC), they are associated with their adjusted Pvalue padj. Then, a sorting step was performed to remove: genes containing less than 10 reads under all conditions, genes with no significant padj, genes with a log2.FC between −0.5 and 0.5 for all conditions. The final table was used to identify genes expressed significantly differentially between the different conditions.
[0190] The alignment of the reads on the mouse genome (mm10) can be observed by viewing the barn files with the Integrative Genomic Viewer (IGV) software. Different R packages are used for the graphical representation of RNAseq results. For Venn diagrams, the Venn Diagram package is used. For Volcano Plots, the ggplot2 package is used. The Ingenuity Pathway Analysis software (IPA, Qiagen) and the gene ontology classification system PANTHER are used to visualize the deregulated signaling pathways in the dataset.
[0191] 1.11 Cardiac Function Analysis: Ultrasound
[0192] The mice are anaesthetized by inhalation of isoflurane and placed on a heating platform (VisualSonics). Temperature and heart rate are continuously monitored. The image is taken by a Vevo 770 high-frequency echocardiograph (VisualSonics) with 707B probe. Ultrasound measurements in 2D mode and M mode (motion) are taken along the large and small parasternal axis at the widest level of the left ventricle. Quantitative and qualitative measurements are performed using the Vevo 770 software. The mass of the left ventricle is estimated using the following formula:
Mass of the left ventricle(g)=0.85(1.04(((diameter of the left ventricle at the end of diastole+thickness of the intraventricular septum at the end of diastole+thickness of the posterior wall at the end of diastole).sup.3−diameter of the ventricle at the end of diastole3)))+0.6
[0193] For each ultrasound of a mouse heart, about 5 measurement points are taken. The measuring point corresponding to the maximum size of the left ventricle in diastole is then used, as it represents the maximum dilatation that the mouse heart can reach.
[0194] 1.12 Viral Vectors
[0195] The shRNA plasmid constructs for transgene inhibition have been ordered from Vigene Bioscience. They are constructs comprising 4 individual shRNA sequences and the GFP reporter gene. The sequences selected for each gene are described in the Table 5. The plasmids are constructed according to the model in
TABLE-US-00006 TABLE 5 ShRNA sequences Sh-CILP-1 targeted sequence SEQ ID NO GCATGTGCCAGGACTTCATGC 1 GGTTCCGAGTTCCTGGCTTGT 2 GCCTGAAGTCAGCTACCATCA 3 GCTGGATCCCTCCCTATAA 4
[0196] 1.13 Production of Plasmids
[0197] Plasmids are produced by transforming 45 μL of DH10B bacteria with 2 μL of plasmid. Thermal shock is achieved by alternating 5 minutes in ice, 30 seconds at 42° C. and cooling on ice. Then, 250 μL of SOC (super optimal broth) medium is added before incubation at 37° C. for 1 h under agitation. The bacteria thus transformed are isolated by a 50 μL culture over night at 37° C. on a box of LB (lysogeny broth) containing ampicillin in order to select the bacteria having integrated the plasmid. A clone is transplanted the next day for a preculture of a few hours at 37° C. in 3 mL of LB medium containing antibiotic. Samples are kept for freezing in 50% glycerol. An overnight culture is then performed in 2 L Erlenmeyer containing 500 mL of antibiotic-containing medium and 1 mL of the preculture at 37° C. A NucleoBond PC 2000 EF (Macherey Nagel) kit is then used according to the supplier's instructions to purify the plasmids which are then sterilized by filtration at 0.22 μm and assayed with Nanodrop.
[0198] An enzymatic digestion is performed to check the plasmid with the restriction enzymes SMA1 and NHE1. A mixture containing 1 μg of DNA, 2 μL of buffer fast digest green 10×, 1 μl of each enzyme in sterile water for a total amount of 20 μl is stirred for 20 min at 37° C. A 1% agarose gel in TAE (Tris, Acetate, EDTA) containing SYBR™ Safe DNA Gel Stain (Invitrogen) is poured before depositing the digest products and the size marker O'GeneRuler™ DNA Ladder mix.
[0199] 1.14 Vector Production
[0200] The tri-transfection method is used to prepare recombinant viruses. HEK293 cells are used as packaging cells to produce the virus particles. Three plasmids are required: the vector plasmid, which provides the gene of interest, the helper plasmid pAAV2-9_Genethon_Kana (Rep2Cap9), which provides the Rep and Cap viral genes, and plasmid pXX6, which contains adenoviral genes and replaces the co-infection by an adenovirus, necessary for AAV replication. The cells are then lysed and the viral particles are purified. Vectors are produced in suspension.
[0201] Cell inoculation (day 1): Use of HEK293T clone 17 cells at confluence, inoculated in 1 L agitation flasks: 2E5 cells/mL in 400 mL of F17 medium (Thermo Fisher scientific). Incubation under agitation (100 rpm) at 37° C.-5% CO2-humid atmosphere.
[0202] Cell Transfection (Day 3): Cells are counted and cell viability is measured on Vi-CELL after 72 h of culture. The transfection mix is prepared in Hepes buffer at 10 mg/mL for each plasmid according to its concentration, size and the amount of cells in the flask, the ratio of each plasmid is 1. Incubation 30 minutes at RT after the addition of transfection agent and homogenization of the solution. The transfection mixture and 3979 μL of culture medium (F17 GNT Modified) are transferred to shaker flasks containing 400 mL of culture which are incubated under agitation (130 rpm) at 37° C.-5% CO2-wet atmosphere. After 48 h, treatment of the cells with benzonase: dilution of Benzonase (25 U/mL final) and MgCl2 (2 mM final) in F17 medium, addition of 4 mL per flask.
[0203] Viral vector harvest (day 6): Cells are counted and cell viability is measured on Vi-CELL, then 2 mL of triton X-100 (Sigma, 1/200th dilution) are added before incubating 2.5 hours at 37° C. with agitation. The erlenmeyers are transferred to Corning 500 mL and centrifuged at 2000 g for 15 minutes at 4° C. Supernatants are transferred to new Corning 500 mL before adding 100 mL of PEG 40%+NaCl and incubating 4 h at 4° C. The suspension is centrifuged at 3500 g for 30 minutes at 4° C. The pellets are resuspended in 20 mL TMS at pH 8 (Tris HCl at 50 mM, NaCl at 150 mM and MgCl2 at 2 mM, diluted in water) and transferred to Eppendorf 50 mL before the addition of 8 μL benzonase. After 30 min incubation at 37° C., the tubes are centrifuged at 10,000 g for 15 min at 4° C.
[0204] Cesium Chloride Gradient Purification: To achieve the gradient, 10 mL of cesium chloride at a density of 1.3 grams/mL is deposited in ultracentrifuge tubes. A volume of 5 mL of cesium chloride at a density of 1.5 grams/mL is then placed underneath. The supernatant is gently deposited on top of the cesium chloride and the tubes are ultracentrifuged at 28,000 RPM for 24 hours at 20° C. Two bands are observed: the upper band contains the empty capsids and the lower band corresponds to the full capsids. Both strips are collected avoiding the removal of impurities. The sample is mixed with cesium chloride at a density of 1.379 g/mL in a new ultracentrifuge tube and then ultracentrifuged at 38,000 RPM for 72 hours at 20° C. The solid capsid strip is removed.
[0205] Concentration and filtration: The removal of cesium chloride from the viral preparation and the concentration are carried out on Amicon®(Merck) filters. On Amicon®(Merck) filters, the vectors are concentrated by ultrafiltration with a cut-off of 100 kDa. Amicon membranes are first hydrated with 14 mL 20% ethanol, centrifuged 2 min at 3000 g, then equilibrated with 14 mL PBS, centrifuged 2 min at 3000 g, and then with 14 mL 1,379 ClCs. The collected solid capsid strip is placed on the filters and centrifuged 4 min at 3000 g. 15 mL PBS 1×+F68 formulation buffer is added, before further filtration 2 min at 1500 g. The three previous steps are repeated 6 more times before recovering the last concentrate. The samples are then filtered at 0.22 μm.
[0206] Titration: The vector is then assayed by quantitative PCR.
[0207] 1.15 Statistics
[0208] In all statistical analyses, the differences are considered significant at P<0.05 (*), moderately significant at P<0.01 (**) and highly significant at P<0.001 (***), with P=probability. Bar graphs are shown as means+SEM standard deviations. The graphs are made using the GraphPad software.
[0209] Analysis of the distribution of fibrosis over the whole heart: In order to ensure that the fibrosis is homogeneous in the heart (H0 hypothesis), the inventors randomly drew 20 values from the 483 fibrosis ratio values. These values were compared 10 to 10 with a Wilcoxon test (Software R) to obtain a p-value. This operation was repeated 1000 times, resulting in 1000 p-values. Among these values some are below 0.05 showing that in some cases our hypothesis of fibrosis invariance is not valid. Out of the 1000 statistical tests, the inventors counted how many gave a value below 0.05. The inventors repeated the entire process 100 times to obtain an average of the percentage for which our H0 hypothesis is false. This average is 4%. This means that our hypothesis is valid 96% of the time, and therefore corresponds to an overall p-value of 0.04, which is statistically acceptable.
[0210] 2. Results
[0211] The inventors wanted to determine whether there were common gene expression modifications between two cardiomyopathy models: the DeltaMex5 model and the DBA/2-mdx model as well as the age at which these deregulations are established and their specificity. To do so, the inventors conducted a comparative study of transcriptome at different ages.
[0212] 2.1 RNAseq Analysis of the Two Models of Cardiomyopathy
[0213] Total RNAseq (RNAseq) sequencing analysis was performed on heart samples from DeltaMex5 and DBA/2-mdx mice and their controls at early and late age of cardiac involvement. For DeltaMex5 mice, ages of 1 and 4 months were chosen, and for DBA/2-mdx mice, ages of 1 and 6 months. The main aim here was to identify genes present when the pathology is established that would be common to both cardiomyopathy models.
[0214] The sequencing was done according to the Illumina protocol. The differential expression of genes for each sample is calculated in relation to its control from their read number (>10). The expression difference values (or fold change) are expressed in binary logarithm (log2.FC) and are associated with their adjusted Pvalue padj. Genes expressed significantly differentially between different conditions are determined by a log2.FC>|0.5| and a padj<0.05.
[0215] The volcano plot of the RNAseq data allows visualization for each condition of the distribution of genes and the extent of gene deregulation in the heart, as well as the extent of gene expression. The list of the 30 most deregulated genes at 4 months is presented in the Table 6.
TABLE-US-00007 TABLE 6 Top 30 most deregulated genes in the core of the DeltaMex5 model at 4 months. Average Average Gene log2FC padj DeltaMex5 C57BL/6 Spp1 6.60 5.28E−128 2162.74 6.65 Gm42793 4.82 3.66E−46 212.55 0.00 Cilp 4.77 4.70E−278 3357.31 109.77 Ltbp2 4.74 2.97E−174 2206.18 68.03 Gpnmb 4.68 1.57E−97 764.57 19.98 Sprr1a 4.33 1.41E−36 222.75 1.39 Tnc 4.28 2.99E−33 4363.96 38.66 Gm6166 4.24 5.99E−39 171.45 2.01 8030451A03Rik 4.22 4.64E−35 206.04 1.72 D030025P21Rik 4.02 5.44E−36 153.86 2.87 Timp1 3.98 5.70E−52 625.54 24.25 Col12a1 3.82 2.14E−60 989.43 50.08 Col8a2 3.74 3.28E−40 247.08 10.59 Sfrp2 3.62 2.08E−55 501.17 30.20 Thbs4 3.61 3.79E−121 919.77 66.85 Ptn 3.40 1.25E−35 290.91 17.60 Postn 3.35 1.65E−21 12040.11 414.51 Mfap4 3.31 3.99E−57 428.05 35.05 Piezo2 3.27 2.87E−31 209.01 13.45 Gm26771 3.26 9.27E−27 132.29 7.36 Col3a1 3.22 1.72E−61 40685.43 3682.59 Col14a1 3.20 9.47E−116 2081.22 207.54 Ctss 3.19 3.04E−59 1773.00 162.81 Trem2 3.16 2.89E−28 259.21 17.93 Atp6v0d2 3.15 2.67E−17 58.07 0.67 Apol7d 3.15 5.17E−32 541.35 41.67 AC125167.1 3.12 3.11E−46 1533.67 141.84 Lgals3 3.10 6.97E−19 747.38 35.14 Mpeg1 3.09 8.80E−23 2205.83 143.04 Dkk3 3.01 2.78E−32 299.63 27.12 Underlined = model specific.
[0216] One of the most increased gene in the heart of the DeltaMex5 model at 4 months is the Cilp gene, coding for Cartilage Intermediate Layer Protein (log2FC=4.77, P=4.70E-278), a negative regulator of the TGF-β pathway Shindo, K. et al. 2017. International Journal of Gerontology 11, 67-74). At 1 month, the number of deregulated genes is much smaller and the deregulated genes are deregulated to a lesser extent with a maximum log2FC of 1.
[0217] For the DBA/2-mdx model, the list of the 30 most deregulated genes is presented in the Table 7.
TABLE-US-00008 TABLE 7 Top 30 most deregulated genes in the core of the DBA/2-mdx model at 6 months. Average Average Gene log2FC padj DBA/2-mdx DBA/2 Ighg2c 3.99 2.34E−40 127.71 0.00 Tnc 3.76 1.89E−111 1637.90 96.86 Cilp 3.27 4.59E−70 760.53 62.18 Sprr1a 3.02 7.35E−22 75.33 1.37 Mt2 2.98 3.69E−44 425.98 39.53 Timp1 2.83 1.53E−19 735.88 34.09 8030451A03Rik 2.65 5.15E−18 77.45 4.44 Serpina3n 2.60 9.78E−18 2728.99 200.98 Chile1 2.54 1.01E−18 173.35 15.73 Hamp2 −2.51 2.58E−38 61.43 427.96 Lrp8 2.47 1.81E−16 132.79 11.37 Saa3 2.41 6.08E−13 46.74 0.65 Fam46b 2.36 5.00E−34 511.91 83.18 Per2 2.35 8.14E−32 292.28 47.22 Fgl2 2.34 4.46E−65 3216.00 585.39 Lox 2.32 7.38E−52 919.81 166.22 Crlf1 2.30 1.98E−19 172.27 24.17 Postn 2.28 6.18E−21 9086.68 1378.81 Ereg 2.27 3.18E−12 58.87 3.76 Cfb 2.27 4.86E−41 632.26 115.30 Nxpe5 2.27 4.06E−28 215.52 36.33 Gm20547 2.27 6.53E−48 712.93 133.02 Ccl6 2.26 1.05E−64 1020.70 197.87 Ccl9 2.24 4.79E−43 492.52 93.30 Pak3 2.20 3.81E−15 117.72 15.86 Mmp3 2.17 7.28E−35 967.23 187.88 Srpx 2.17 9.38E−31 366.18 70.08 Clec4d 2.16 1.12E−12 66.61 7.53 Ccl7 2.16 2.68E−18 140.95 22.98 He33 2.15 2.60E−32 353.56 69.27 Underlined = model specific.
[0218] In the DBA/2-mdx model at 6 months, the inventors find in the first 5 positions Culp gene as one of the most deregulated gene. At 1 month, the number of deregulated genes is already high and the most deregulated genes exceed a log 2FC of 3.
[0219] The Venn diagram representation of RNAseq results allows the visualization of the numbers of common or specific deregulated genes in a model or a stage of disease progression. Of the 46,717 genes included in the RNAseq analysis, 4,850 genes were found to be significantly deregulated (llog2FCI>0.5 and pvalue<0.05) in either model at early or late age of cardiac involvement compared to control. At an early age, the heart of DeltaMex5 mice has only 44 deregulated genes, whereas the heart of DBA/2-mdx mice already has 2,186, with only 4 genes in common in both models. At a later age, the DeltaMex5 heart has 2,621 deregulated genes and the DBA/2-mdx heart has 2,202, of which 1,175 are common to both models, of which 708 genes are specific for the advanced age of cardiomyopathy. Only 9 genes are specific for the DeltaMex5 model, while 232 are specific for the DBA/2-mdx model. Of all the deregulated genes, a greater proportion of the genes are over-expressed rather than under-expressed.
[0220] The majority of the most over-expressed genes are common between the two models. However, genes deregulated in the hearts of DeltaMex5 mice at 4 months are more strongly deregulated than genes deregulated in the hearts of DBA/2-mdx mice at 6 months (log 2FC maximum of 4 versus 6.6). It was also observed that, although the cardiac involvement between the two models was different, the transcriptional deregulations associated with them mostly involved the same genes and signalling pathways at a late stage.
[0221] To complete this analysis, the Ingenuity Pathway Analysis (IPA, Qiagen) software, which uses a repository of biological interactions and functional annotations to help interpret the data into biological mechanisms was used. At one month of age, no increase in signaling pathways was identified in the hearts of DeltaMex5 and DBA/2-mdx mice. Analysis by IPA allowed to highlight the biological functions whose genes are most represented in the deregulated genes in an advanced phase. In first position in both models, more than 150 genes involved in cardiovascular disease were found in the RNAseq analysis. In second position, more than 150 deregulated genes are categorized in the family of lesions and abnormalities on an organ. Finally, in third position, nearly 200 genes related to the function and development of the cardiovascular system were found.
[0222] The inventors also used another function of the IPA software to determine the toxicity associated with the observed changes in gene expression, and this only in the advanced phases. Many deregulated genes were identified: 86 genes associated with cardiac enlargement in the DeltaMex5 model and 85 in the DBA/2-mdx model, 45/48 genes that could lead to cardiac dysfunction, 38/36 genes in cardiac dilatation, 27/28 genes in cardiac fibrosis and 35/37 in cardiac necrosis.
[0223] The PANTHER gene ontology classification system was also used to determine the most deregulated signalling pathways in the late-stage models. In both models, the perturbations appear to be very similar as seen in the analysis of the Venn Diagrams. The first two pathways found are similar in both models and include the chemokine and cytokine mediated inflammation signalling pathway with nearly 70 genes involved, and the integrin pathway with more than 50 genes involved. The inflammation is likely the result of cellular damage associated with cardiomyopathy. Integrins play a major role in the transmission of mechanical forces between membranes and the adaptation to these forces in cardiomyocytes. Interestingly, the TGF-β pathway is found in 22nd and 19th position, with more than 15 deregulated genes, to which Clip, one of the most over-expressed genes, belong. Among the other canonical pathways that are not represented in the graph, the most decreased pathways in the models are oxidative phosphorylation and mitochondrial function, with a decrease of factors in each of the 5 mitochondrial complexes of the respiratory chain. There is also the peroxisome proliferator-activated receptor pathway (PPARγ), which has a role in cardiac metabolism.
[0224] 2.2 Validation of Deregulated Genes
[0225] The deregulation of CILP-1, one of the most deregulated genes was evaluated under different conditions. CILP-1 is not overexpressed in the DeltaMex5 model at 1 month but is over-expressed in the later age of the disease (Table 8).
TABLE-US-00009 TABLE 8 Deregulation of CILP gene in the models. Cilp DeltaMex5 log2FC 0.16 1 month padj 0.00E+00 Average DeltaMex5 560 Average C57BL/6 136 DeltaMex5 log2FC 4.77 4 months Padj 4.70E−278 Average DeltaMex5 3357 Average C57BL/6 110 DBA/2-mdx log2FC 0.63 1 month padj 2.30E−01 Average DBA/2-mdx 417 Average DBA/2 111 DBA/2-mdx log2FC 3.27 6 months padj 4.60E−70 Average DBA/2-mdx 761 Average DBA/2 62
[0226] Validation of RNAseq data was then performed on cores of the DeltaMex5 model at different ages (2, 4 and 6 months) by an individual qPCR to confirm their overexpression and assess their modification over time. CILP-1 gene is significantly overexpressed from 2 months in the model, and gene overexpression increases progressively with age (
[0227] 2.3 Modulation of CILP-1 Gene Expression
[0228] The inventors then wanted to assess the impact of modulation of CILP-1 on the cardiac phenotype of the model. An evaluation of the consequences of in vivo gene transfer of shRNA-CILP-1 on fibrotic status and cardiac function was performed on the DeltaMex5 model. The approaches that have shown an interest in the DeltaMex5 model are currently being applied to the DBA/2-mdx.
[0229] 2.4 Gene Transfer Approaches
[0230] The strategy chosen for inhibiting CILP-1 expression is the use of shRNA. shRNA are small RNAs with a hairpin structure. Their action is based on the principle of interfering RNA, neutralizing the messenger RNA of the target. The inventors have chosen 4-in-1 shRNAs for enhanced efficiency of transgene neutralization wherein four individual shRNA sequences are grouped together in a plasmid. The shRNAs were selected using Thermofisher's RNAi Designer tool. The 4 shRNAs with the best specific recovery score for the gene of interest were selected. They were then ordered from Vigene Bioscience, under the control of H1 and U6 ubiquitous promoters.
[0231] 1-month-old mice were injected intravenously at a dose of 2e.sup.11 vg/mouse (equivalent to a dose of 1e.sup.13 vg/kg for a mouse of approximately 20 g) or by PBS. After 3 months of vector expression, the hearts of the mice were ultrasonographed prior to collection. The overall, histological and functional consequences on the heart were then studied.
[0232] Expression of the vectors AAV9-4in1shRNA-mCILP-GFP is detected using the GFP reporter gene which is present only in mice injected by the vector (
[0233] 2.4.1 Morphological Evaluation
[0234] Mouse mass was significantly decreased in mice treated with the AAV9-4in1shRNA-mCILP-GFP vector (29.5±1.31 g, n=4, P=0.027) (
[0235] Histological analyses were then performed on the hearts of the mice. HPS staining revealed persistence of the damaged tissue in mice treated with AAV9-4in1shRNA-mCILP-GFP (
[0236] 2.4.2 Functional Evaluation
[0237] Ultrasound analyses of cardiac function were performed at 4 months, after 3 months of vector expression (
[0238] 2.4.3 Molecular Evaluation
[0239] In mice injected with the AAV9-4in1shRNA-mCILP-GFP vector, Myh7 was significantly increased compared to PBS mice (24.59±2.35, P<0.001), Myh6 was also increased (0.62±0.05, P=0.003). The β-catenin which was unchanged between DeltaMex5 and C57BL/6 mice was slightly increased (1.21±0.06, P<0.001). Only Timp1 was significantly decreased in injected mice compared to DeltaMex5-PBS mice (31.67±6.98, P=0.001) (
[0240] Fibrosis RNA tissue markers (Fibronectin, Vimentin, Collagen 1a1 and Collagen 3a1) were also measured by RT-qPCR. In mice injected with the AAV9-4in1shRNA-mCILP-GFP vector, vimentin, a marker of fibrosis, was significantly decreased (2.35±0.25, P=0.02) (