Abstract
Erythropoietic protoporphyria (EPP) is a rare genetic disease in which patients experience acute phototoxic reactions after sunlight exposure. It is caused by a deficiency in ferrochelatase (FECH) in the heme biosynthesis pathway. Most patients exhibit a loss-of-function mutation in trans to an allele bearing a SNP that favors aberrant splicing of transcripts. One viable strategy for EPP is to deploy splice-switching oligonucleotides (SSOs) to increase FECH synthesis, whereby an increase of a few percent would provide therapeutic benefit. However, successful application of SSOs in bone marrow cells is not described. Here, we show that SSOs comprising methoxyethyl-chemistry increase FECH levels in cells. We conjugated one SSO to three prototypical targeting groups and administered them to a mouse model of EPP in order to study their biodistribution, their metabolic stability and their FECH splice-switching ability. The SSOs exhibited distinct distribution profiles, with increased accumulation in liver, kidney, bone marrow and lung. However, they also underwent substantial metabolism, mainly at their linker groups. An SSO bearing a cholesteryl group increased levels of correctly spliced FECH transcript by 80% in the bone marrow. The results provide a promising approach to treat EPP and other disorders originating from splicing dysregulation in the bone marrow.
INTRODUCTION
Erythropoietic protoporphyria (EPP; OMIM # 177000) is a rare autosomal recessive disorder (1), that is caused by deficiency in the heme biosynthesis enzyme ferrochelatase (FECH, EC 4.99.1.1) (Figure 1A) (2,3). During heme biosynthesis, FECH catalyses the incorporation of iron into protoporphyrin IX (PPIX) to form heme. With over 80% of heme produced in red blood cells progenitors, the bone marrow is the major site of biosynthesis. Kidneys and liver are also minor sites of heme biosynthesis (4). A lack of FECH means that PPIX continuously accumulates during erythroid maturation, resulting in PPIX circulating in red blood cells of the bloodstream. Upon short exposure to visible light, PPIX produces reactive oxygen species leading to lipid peroxidation, cell membrane damage and inflammation. This causes patients to suffer from burn-like injuries of the endothelial cells of the blood vessels and the surrounding tissue, associated with acute severe pain; some will develop hepatic complications with deposits of PPIX crystals and are at risk of liver failure (5,6).
EPP in almost all patients is associated with an alteration in both FECH alleles. On one, FECH expression is attenuated by a deleterious mutation (7); on the other, a single nucleotide polymorphism (SNP) in intron 3 (c.315-48T>C) bolsters the use of a cryptic 3′ splice site, that produces an aberrant mRNA incorporating additional sequence preceding exon 4 (Figure 1B). Stop codons in this sequence result in degradation of the transcript by nonsense-mediated mRNA decay (NMD) (3). The combined effects of these alleles are reduced levels (>65%) of FECH activity, which renders patients symptomatic. As the c.315-48C allele turns a carrier of a loss-of-function (LoF) allele from asymptomatic to symptomatic, a splice-switching oligonucleotide (SSO) is a viable means to restore sufficient FECH expression for haplo-sufficiency in patients. SSOs composed of LNA (locked nucleic acids) and morpholino chemistries are reported to correct the aberrant splicing of the FECH mRNA ex vivo in patients' blood cells (8,9), but this approach has not yet been described in vivo.
SSOs are oligonucleotides of about 20 nucleotides (nt) in length, that bind to a pre-mRNA and modulate its splicing (10,11). Several are in development to treat rare diseases caused by aberrant RNA maturation, reading-frame shifts, or exon skipping. The most prominent example is nusinersen, an approved treatment of spinal muscular atrophy (SMA) that mediates exon inclusion in the SMN2 pre-mRNA (12,13). Nusinersen is composed of phosphorothioated (PS)-2′-O-methoxyethyl (MOE)-ribonucleotides (14), which endow the drug with high metabolic stability and extended distribution in vivo. PS-MOE oligonucleotides traffic to the liver, kidneys and spleen at therapeutically-useful concentrations after systemic administration (15,16). They have also been detected in bone marrow in rodents, though SSOs of various chemistries were inactive in the bone marrow of a reporter mouse model (17), possibly due to poor cellular-uptake and/or to the high turnover of red blood cell progenitors (18). This obstacle impacts an SSO strategy for EPP, but may be addressable thanks to advances in the use of conjugated groups for organ-targeted delivery (e.g. GalNAc sugars (19)).
We recently developed a transgenic mouse model for human EPP (Emi mouse) (20), incorporating the c.315-63 cryptic splice site of FECH from human intron 3. The mouse displays the aberrant splicing of exon 4; however, for reasons unknown, exon 3 is deleted from most transcripts (Figure 1C). Hence, SSOs that correct the aberrant splicing of the transgene will not increase levels of FECH activity, nor attenuate levels of circulationg PPIX. Here, we describe a 22-nt PS-MOE SSO, which binds to the c.315-48 SNP and corrects splicing of FECH transcripts in cells and in the Emi mouse. Using different linker strategies, we conjugated the SSO to three targeting moieties: thiocholesterol (21,22), stearic acid (23) and a bone marrow-homing peptide (24). We first assessed their metabolic stability in vitro, and then their distribution, metabolism and splice-switching activity in Emi/wt heterozygous mice using mass spectrometry and chemical ligation PCR methods. Whereas the oligonucleotide moiety was metabolically stable, the conjugated groups underwent degradation in vitro and in vivo, albeit through different pathways. The conjugates also altered in vivo-distribution and splice-switching activity of the SSO. The parent SSO was detected in all tissues tested, and showed splice-switching of FECH RNA in liver, kidney and lung. The cholesterol group increased liver transport by seven-fold, but this SSO was not more potent than the parent SSO. The stearic-acid conjugate increased liver delivery by a lesser degree, but raised FECH transcript levels there by 60%. Notably, the homing-peptide increased bone marrow accumulation by seven-fold, but it hardly affected FECH splicing, whereas the cholesterol group, which did not improve transport to bone marrow, increased levels of the correct FECH transcript by 80%.
This study of splice-switching oligonucleotide conjugates complements recent investigations of the pharmacokinetic and pharmacodynamic properties of antisense and siRNA conjugates (25,26). The results reinforce the notion that increased delivery does not necessarily translate to improved potency. They also advance the prospect of an oligonucleotide-based therapy for correction of the FECH splicing defect at the origin of EPP.
MATERIALS AND METHODS
Small scale synthesis of MOE-PS splice-switching oligonucleotides
Small scale oligonucleotide synthesis was conducted on a MerMade 12 synthesizer (BioAutomation Inc) on a 50 nmol scale on 500 Å UnyLinker CPG (ChemGenes) with standard synthesis conditions. DMT cleavage was accomplished with a solution of 3% dichloroacetic acid in dichloromethane (V/V). 2′-O-MOE phosphoramidites (ThermoFisher Scientific) were prepared at 0.08 M concentration in dry acetonitrile. 5-(Benzylthio)-1H-tetrazole (Carbosynth) was used at 0.24 M concentration in dry acetonitrile to activate the phosphoramidites for coupling. Sulfurization was carried out with a 0.05 M solution of 3-((N,N-dimethylaminomethylidene)amino)-3H-1,2,4-dithiazole-5-thione (Glen Resarch #40-4037) in a 1:1 mixture of pyridine/acetonitrile. Capping of failed sequences was achieved with acetic anhydride in tetrahydrofuran (THF) and 16% N-methylimidazole in THF. Following cycle parameters were used: Deblock 2 × 60 s; Coupling 2 × 180 s; Sulfurization 1 × 150 s; Capping 2 × 50 s. Analytical data are provided in Supplementary Figure S1.
Synthesis of chemical ligation-qPCR primers
Primers were synthesized on a MerMade 12 synthesizer following a similar procedure with minor modifications to that described in the initial publication (27). Analytical data are provided in Supplementary Figure S2.
Large scale synthesis of ORN1 and of conjugates ORNst, ORN84 and ORNch
Large scale synthesis was conducted on a MerMade 12 synthesizer with minor changes compared to the small-scale procedure: sulfurization reagent was prepared at 0.1 M instead of 0.05 M. Modified cycle parameters were used: Deblock 2 × 60 s; Coupling 1 × 600 s; Sulfurization 1 × 600 s; Capping 2 × 100 s (see also Supplementary Methods). Analytical data of batches used for in vivo work are provided in Supplementary Figure S3.
Oligonucleotide screening in the COS-7 FECH-C minigene system
COS-7 cells were kept in culture at 37°C, 5% CO2. Cells were plated at 140 000 cells/well in a 24-well plate in 1 ml DMEM-GlutaMax (ThermoFisher #10566016) containing 10% fetal bovine serum for 18 h prior to plasmid transfection. 700 ng of the FECH-C minigene (28) was transfected using XtremeGENE HP DNA transfection reagent (Sigma-Aldrich #XTGHP-RO) as per manufacturer's instructions with a ratio of 2.5 μl transfection reagent/μg plasmid DNA. Oligonucleotides were transfected 4 h after the plasmid using Lipofectamine™ 2000 (ThermoFisher, #11668027) following manufacturer's instructions. 24 h prior to lysis and RNA extraction, emetine (Sigma-Aldrich #E2375) was added in each desired well at a final concentration of 3 μM.
Cells were washed with Dulbecco's phosphate-buffered saline (DPBS) and RNA extraction was carried out using Qiagen RNEasy kit according to manufacturer's instructions with the inclusion of two DNAse-treatment steps (Qiagen #74106, #79254). cDNA was prepared using the High Capacity cDNA RT kit (Applied Biosystems #4374966) in accordance with the manufacturer's instructions. PCR primers specific for the minigene were used: Forward 5′‐GC TCT CTA CCT GGT GTG TGG‐3′, Reverse 5′‐GAC AAT TCA TCC AGC AGC TTC‐3′. A PCR mix containing 1 μl FW primer (10 μM stock), 1 μl RV primer (10 μM stock), 1 μl dNTPs mix (Promega #U1515), 5 μl 10× DreamTaq Buffer (ThermoFisher #EP0703), 0.25 μl DreamTaq DNA Polymerase (ThermoFisher #EP0703) and 40.75 μl ultrapure water was prepared and mixed with 1 μl of cDNA solution diluted 1/3 in water. PCR program: 95°C, 1 min; 30 cycles (95°C, 30 s – 60°C, 30 s – 68°C, 30 s); 68°C, 5 min. PCR products were loaded on a 2% agarose gel and bands quantified using ImageJ software. Ratios were expressed as: intensity of the aberrant amplicon band / (intensities of aberrant + correct bands).
Endogenous splicing correction and correct FECH transcript evaluation in K562 cells
K562 cells were kept in culture at 37°C, 5% CO2. Cells were plated at 200 000 cells/well in a 24-well plate in 0.5 ml IMDE (Sigma #I3390) containing 10% fetal bovine serum and 4 mM l-glutamine (Sigma #G7513). Oligonucleotides were transfected 1.5 h after plating using Lipofectamine™ 2000 (ThermoFisher, #11668027) following manufacturer's instructions. Emetine (Sigma-Aldrich #E2375) was added in each desired well at a final concentration of 3 μM 2.5 h hours after oligonucleotide treatment and 22 h before lysis and RNA extraction.
Cells were washed with DPBS and RNA extraction was carried out using Qiagen RNEasy kit according to manufacturer's instructions (Qiagen #74106, #79254). cDNA was generated using PrimeScript RT kit (Takara #RR037A). For semi-quantitative RT-PCR; PCR primers specific for human FECH exon 2–exon 4 transcripts were used: Forward 5′‐CAC AGA AAC AGC CCA GCA TG‐3′, Reverse 5′‐GAC AAT TCA TCC AGC AGC TTC‐3′. A PCR mix containing 1.25 μl FW primer (10 μM stock), 1.25 μl RV primer (10 μM stock), 0.125 μl dNTPs mix (Promega #U1515), 0.25 μl 5× Q5 Polymerase Buffer (NEB #M0491), 0.25 μl Q5 DNA Polymerase (NEB #M0491) and 15.75 μl ultrapure water was prepared and mixed with 1 μl of cDNA solution. PCR program: 98°C, 30 s; 33 cycles (98°C, 10 s – 58°C, 20ms – 72°C, 2 s); 72°C, 2 min. PCR products were loaded on a 2% agarose gel and bands quantified using ImageJ software. Ratios were expressed as: intensity of the aberrant amplicon band/(intensities of aberrant + correct bands). Biological replicates are presented in Supplementary Figure S4. For RT-qPCR, a primer pair for correctly spliced FECH transcript was used. A mix containing 4 μl SYBR Mix 2×, 0.33 μl primer pair (stock of 10 μM each in water) and 3.17 μl ultrapure water was prepared and mixed with 0.5 μl cDNA solution. Primers were purchased from Microsynth (Balgach, Switzerland) and stored as pairs at 10 μM each. Samples were run in technical triplicates and GAPDH was used as housekeeping control. Fold change calculations for the correctly spliced FECH transcript were made by comparing each treatment group with the mock group. FECH FW primer: 5′-CCT ATT CAG AAT AAG CTG GCA CC-3′; FECH RV primer: 5′-CCT GCT TGG AAG TCC ATA TCT TG-3′. GAPDH FW primer: 5′-AGG TCG GTG TGA ACG GAT TTG-3′; GAPDH RV primer: 5′-TGT AGA CCA TGT AGT TGA GGT CA-3′. Statistical analysis (multiple t-tests) was conducted with GraphPad Prism v7. software.
Western blotting experiments in K562 cells
K562 cells were grown as above. Cells were plated at 100 000 cells/well in a 24-well plate in 1 ml medium and oligonucleotides transfected 1.5 h after plating using Lipofectamine™ 2000. K562 cells were lysed 24 or 48 h after treatment in 100 μl RIPA buffer (ThermoFisher Scientific) supplemented with protease inhibitor (cOmplete, Roche). Lysates were incubated on ice for 30 min prior to brief needle sonication (25% amplitude, 6 s pulse), followed by centrifugation at 12 000 g for 15 min. Supernatants were collected and protein concentration was assessed with the Pierce BCA protein assay kit (ThermoFisher Scientific). 10 μg of protein from each sample was denaturated in Laemmli buffer (BioRad) containing 7% β-mercaptoethanol, and loaded onto 4–20% pre-cast TGX gels (BioRad) for electrophoresis. Protein transfer onto nitrocellulose membranes (GE Life Sciences) was carried out for 90 min at 25 W in a Mini Trans-Blot Electrophoretic Transfer Cell (BioRad). Membranes were blocked for 3 h with 5% (w/v) nonfat dry milk in 0.05% Tween 20 in PBS (PBS-T) and were incubated overnight at 4°C with the primary antibody. Membranes were washed three times with 0.05% PBS-T, followed by incubation with the secondary antibody for 1 h in 5% milk in 0.05% PBS-T. After washing with 0.05% PBS-T, signal was detected with the ECL Prime reagent (GE Life Sciences) in a ChemiDoc XRS+ station (BioRad).
Chemiluminescence was quantified using the ImageJ software. Ratios were calculated and graphical output and statistical analysis (one-way ANOVA) was conducted with GraphPad Prism v7. software. Biological replicates are presented in Supplementary Figure S5. List of primary antibodies used: FECH (mouse, SantaCruz, sc-377377, 1/500 dilution), GADPH (mouse, Proteintech, 60004-1-Ig, 1/10 000 dilution) and the corresponding secondary antibody: anti-mouse (goat, Seracare, 5220-0341, 1/10 000 dilution).
Stability assay in mouse plasma
5 nmol of in-vivo ready oligonucleotides (UV purity > 99%, sodium salt) were spiked in 200 μl of mouse K2-EDTA plasma (BioIVT #MSE02PLK2Y2N) and 20 μl aliquots were taken immediately after mixing, and after 5 min, 15 min, 30 min, 1 h, 2 h, 4 h, 6.5 h, 22 h and 26 h incubation and gentle shaking at 37°C. Aliquots were immediately quenched with 350 μl OTX Clarity Lysis buffer (Phenomenex #AL0-8579) and frozen at –20°C. Clean-up was conducted all at once using the Clarity® OTX Extraction kit (Phenomenex #KS0-9253) according to manufacturer's procedure for biological fluids with the following adjustments: formulation of all buffers with ammonium acetate in substitution of sodium phosphate; dissolution of the final eluate after evaporation to dryness in 100 μl of TE buffer pH 8.0. Reconstituted samples were analysed qualitatively by LC–MS (Agilent 1200/6130 system) equipped with a Waters Acquity OST C-18 column.
Animal injections
The oligonucleotides and oligonucleotide conjugates were injected subcutaneously into mice of the B6.Cg-Fechtm1.1(FECH*)Emi line (Emi for short) of Emi/wt genotype at a dose of 50 mg/kg. Four doses were administered over a period of two weeks. Weight of the mice was determined prior to each injection to monitor any adverse weight loss due to oligonucleotide injection. 24 h after the last injection, the mice were weighed and euthanized by carbon dioxide inhalation. Blood was withdrawn from the posterior vena cava of each mouse and used to prepare heparinized plasma. Liver, spleen, kidneys, lungs, heart, brain, quadriceps muscle were collected and snap frozen in liquid nitrogen. Bone marrow was isolated from femurs and tibiae by flushing the bones with cell culture medium (RPMI +10% FBS). Bone marrow cell pellets were frozen at –80°C till used for uptake studies or RNA isolation. Tissue samples were ground into a fine powder in liquid nitrogen and separate samples were immediately aliquoted for dissolution in OTX Lysis buffer (Phenomenex #AL0-8579) for uptake and metabolite study, or in Trizol (ThermoFisher #1559606) for RNA extraction. All animal experiments were conducted in accordance with local laws under the license number ZH115/16.
CL-qPCR in tissues
The ground tissue powder was suspended in 10 volumes/weight OTX Lysis Buffer, briefly needle-sonicated and centrifuged for 30 s at 14 000 rpm. Supernatants were collected, diluted at 1/750 in ultrapure water, and used for analysis. CL-qPCR was carried out following the protocol from Boos et al. (27), with minor modifications. For each tissue and each compound, a calibration curve was generated and run along with the samples. Mix composition for Chemical Ligation: 0.1 μl PS primer (10 μM stock), 0.1 μl BPS primer (10 μM primer), 1 μl Poly A (GE Healthcare #27411001, 1 mg/ml), 1 μl 10× Buffer with MgCl2 (Roche #12032902001) and 5.8 μl ultrapure water, mixed with 2 μl diluted lysate. Chemical ligation was run for 1 h at 33°C. qPCR was run on a LC480 device (Roche). A qPCR mix containing 0.15 μl FW primer (10 μM stock), 0.15 μl RV primer (10 μM stock), 0.13 μl BHQ primer (28.28 μM stock), 0.15 μl dNTPs mix (ThermoFisher #10297018), 1 μl 10× Buffer with MgCl2 (Roche #12032902001), 0.1 μl 10× FastTaq Polymerase (Roche #12032902001) and 6.32 μl ultrapure water was prepared and mixed with 2 μl of chemical ligation reaction mixture. qPCR program was as follows: 10 min, 95°C, 50 cycles (3 s/95°C – 30 s/55°C – 10 s/72°C). Concentrations in tissues were obtained through interpolation from the calibration curves and expressed in ng oligonucleotide/mg tissue for each mouse.
Oligonucleotide extraction from tissue lysates for LC–MS analysis
Ground tissues were suspended in 10 volumes/weight OTX Lysis Buffer, briefly needle-sonicated and centrifuged for 30 s at 14 000 rpm. Supernatants were collected for oligonucleotide clean-up and directly processed with the Clarity® OTX Extraction kit (Phenomenex #KS0-9253) according to manufacturer's procedure for tissues with the following adjustments: formulation of all buffers with ammonium acetate in substitution of sodium phosphate; dissolution of the final eluate after evaporation to dryness in 100 μl of TE buffer pH 8.0 instead of water. Proteinase K pre-treatment was necessary for successful recovery of the oligonucleotide with liver samples coming from mice treated with cholesteryl conjugate ORNch; this pre-treatment was used for all subsequent ORNch tissues.
RNA extraction from mouse tissues and RT-qPCR for correct FECH transcript
The ground tissue powder for each sample was dissolved in Trizol reagent (10–50 mg tissue/ml Trizol) and RNA was extracted following manufacturer's instructions. RNA samples were subjected to an extra clean-up step and DNase treatment using Qiagen RNeasy kit as per manufacturer's instructions (Qiagen #74106, #79254). cDNA was generated using PrimeScript RT kit (Takara #RR037A). qPCR was run on a LC480 device (Roche) with the KAPA SYBR Fast qPCR kit (#KK4618). A qPCR mix containing 4 μl SYBR Mix 2×, 0.33 μl primer pair (stock of 10 μM each in water) and 3.17 μl ultrapure water was prepared and mixed with 0.5 μl cDNA solution. Primers were purchased from Microsynth (Balgach, Switzerland) and stored as pairs at 10 μM each. Samples were run in technical triplicates and GAPDH was used as housekeeping control. Fold change calculations for the FECH correctly spliced transcript were made by comparing each treatment group with the saline group. FECH FW primer: 5′-CCT ATT CAG AAT AAG CTG GCA CC-3′; FECH RV primer: 5′-GGG GAT CCG CCT CCA ATC-3′. GAPDH FW primer: 5′-AGG TCG GTG TGA ACG GAT TTG-3′; GAPDH RV primer: 5′-TGT AGA CCA TGT AGT TGA GGT CA-3′. Statistical analysis (multiple t-tests) and outlier removal (ROUT method) were conducted with GraphPad Prism v7. software.
RESULTS AND DISCUSSION
Identification of a lead SSO for FECH RNA splicing correction
As of yet, it is difficult to predict potent SSO sequences using computational methods (29,30). Therefore, the search for an effective SSO typically begins by ‘walking’ empirically a set of overlapping sequences across exonic and intronic regions in the region of the pathogenic mutation. This approach identified nusinersen, which binds the ISS-N1 site on SMN2 (13), and more recently, an effective SSO as a potential treatment for familial dysautonomia (31).
We scanned regions on the FECH pre-mRNA close to the c.315-48 polymorphism (Figure 2A; sequences in Supplementary Information) for splice-switching activity by using a set of sequence-overlapping 19-nt MOE-PS oligonucleotides. We elected to use MOE-PS SSOs because of their successful use in clinical programs (www.ionispharma.com) (32), their excellent safety record (32,33), their efficient distribution in vivo (15), the ease with which they can be elaborated with targeting groups or stereopure linkages (28). We employed a mini-gene assay transiently expressing the FECH-C variant in COS-7 cells, which we have described previously (20). For each SSO, we calculated the fraction of ‘correct’ (desired) transcripts on agarose gels after work-up using RT-PCR. Since the aberrant transcript, at least for the complete FECH gene, is degraded through non-sense mediated mRNA decay (NMD) (3), we pre-treated cells with emetine, a global inhibitor of translation that prevents NMD (34) to ensure reliable measurements of aberrant transcript levels. Most SSOs showed some effect on target splicing, changing the fraction of correct transcripts by a few percent in the desired direction (Figure 2B). Several SSOs binding between residues 40–66 produced almost full splice correction, and activity dropped away with sequences binding upstream of position –50. In a round of optimization for increased potency, we identified two 22-nt- and one 25-nt SSOs displaying equal or better activity than the aformentioned LNA SSO (8), which we used as a control (Figure 2C, D). From these, ORN1 was selected as the lead SSO.
Binding the c.315-48C SNP but not the aberrant splice site is sufficient for splicing correction
We noted from the initial screen that the most active SSOs covered the –48 SNP, but not necessarily the –63 aberrant splice site. We tested a library of shorter (10-nt) MOE-PS oligonucleotides (Figure 2E; Supplementary Table S1) binding to the –63 and the –48 sites of FECH separately, in order to pinpoint the nucleotides important for the activity of the SSOs in the region of the SNP. One sequence binding at positions –45–54 altered the course of splicing significantly, and three-nucleotide shifts upstream or downstream resulted in loss of activity (Figure 2E). Co-treatments of cells with SSOs blocking simultaneously the splice site (–57–66) and the SNP (–45–54) did not produce synergistic effects.
We and others (3) have observed that ratios of aberrant:correct FECH transcripts vary according to the genotype, the cell type and iron availability (35). With emetine treatment to inhibit NMD of mRNA in lymphoblasts immortalized from donors, we found approximately 30% and 60% of the FECH transcripts were aberrantly spliced for the T/T (c.315-48T)- and C/C (c.315-48C)-homozygotes, respectively (not shown). We observed the same ratios in COS-7 cells transfected with the minigenes (Supplementary Figure S6) and approximately 15% aberrant splicing in the K562 cell line, which is bone-marrow derived, and has erythroid features (36); we confirmed the T/T genotype of these cells by Sanger sequencing (Supplementary Figure S7). Taken together, this implies that the outcome of FECH splicing may depend upon a finely-tuned balance of positive and negative splicing regulatory elements. According to Human Splicing Finder (37), the -48 SNP is embedded in predicted binding sites for hnRNPA1, SRSF1 and SRSF2 alternative splice factors, and the T>C polymorphism may create an Exon Inclusion Element (EIE) (38). An oligonucleotide binding to the –45–54 locus might lessen this activation, in a similar fashion to that described for the cblE type of homocystinuria, where the c.309+469T>C mutation creates an EIE and promotes the inclusion of a pseudo-exon (39).
It has not yet been possible to test ORN1 for its effects on native FECH mRNA and protein, since transfectable patient-derived (C/C)-cells expressing low levels of FECH protein are unavailable, and we have so far been unable to generate a model cell line using CRISPR-Cas based methods. Therefore, we assayed ORN1 in K562 erythroleukemia cells, expressing the T-variant of FECH, in which ORN1 binds its target with a G–U wobble at the site of the polymorphism. We included a fully complementary version of the SSO (ORN1T) in the assay. Both SSOs showed splice-switching activity (Figure 3A) and increased the levels of the correctly spliced transcript by 25–30% (Figure 3B) and FECH protein by ∼50% (Figure 3C).
Synthesis of MOE-PS SSOs conjugated with groups for targeted delivery
MOE-PS oligonucleotides are delivered to bone marrow after systemic administration in rodents (15,17) and in man (see refs in (16)), however, MOE-PS SSOs were inactive when tested in a mouse model for splicing of a reporter gene (17). Therefore, we conjugated ORN1 with three prototypical functionalities that are reported to enhance delivery to selected tissues in vivo (Figure 4A): stearic acid which increases circulation times due to albumin binding (23) (ORNst); a heptapeptide residue that homes to bone marrow and binds primitive stem cells (24) (ORN84); and cholesterol which delivers single-stranded and double-stranded oligonucleotides to bone marrow (21,40,41) (ORNch). Stearic acid was conjugated as an amide whereas the peptide and the cholesterol groups were conjugated via thiol-maleimide chemistry (see Supplementary Methods) (42,43).
In vitro characterization of conjugate stability in plasma and on albumin binding
MOE-PS oligonucleotides are highly resistant to nuclease-mediated degradation in vivo (44,45), but less is known about the metabolic stability of the conjugates and their linkers. The thiosuccinimide linker of ORN84 and ORNch has been widely used in the field of antibody drug conjugates but may undergo thiol-exchange reactions with cysteines of serum albumin (46) or glutathione (47). The peptide of ORN84 is not modified to convey stability against hydrolases. Therefore, we examined the stability of the SSOs in a plasma stability assay that mimics conditions in the bloodstream (48,49). We incubated the SSOs in mouse plasma and removed aliquots periodically for analysis by liquid chromatography–mass spectrometry (LC–MS).
ORN1 was highly high stable in plasma, though trace amounts of a 3′ (n – 1) metabolite was detected after 26 h (not shown). In contrast, all of the conjugates suffered some degradation. The peptide moiety of ORN184 underwent sequential proteolysis from the C-terminus: metabolites missing one (B) and two amino-acids (C) were seen after 6.5 h, and (D) and (E) were identified after 26 h (Figure 4B). The linker also underwent ring opening of the succinimide (metabolite Y) after 1 h, and cleavage of the amide was apparent after 6.5 h (metabolite Z). ORNch underwent a similar albeit slower hydrolysis of the linker, producing two products with the same mass (9411: ORNch+18), which we assigned as ring-opened regioisomers (Y1 and Y2) (Figure 4C). The stearic acid conjugate ORNst showed only trace amounts of degradation after 26 h (Figure 4D).
Distribution and metabolism of FECH SSOs in mouse tissues and organs
Recently, we engineered a murine model of EPP (Emi), in which intron 3 of the mouse gene was replaced by the corresponding human sequence bearing the c.315-48C polymorphism (20) (Figure 1C). Homozygous Emi/Emi mice were not viable. However, viable Emi/wt mice contain one wild-type allele and one allele of the EPP genotype which produces the same aberrant/correct splicing products as the human c.315-48C allele. Unfortunately, this splicing phenotype was accompanied by an additional unanticipated splicing defect - an almost complete skipping of exon 3, and thus loss of FECH protein. Hence, the Emi model is unsuitable for studying effects of SSOs on the disease phenotype, but is amenable to investigations of the pharmacokinetics properties of SSOs and their effects on the amount of FECH transcripts containing the extra 63 nucleotide sequence (Figure 1C).
SSOs were administered to Emi/wt mice twice a week over two weeks similar to other published protocols using MOE-PS oligonucleotides (15,50–52). Mice were sacrificed 24 h after the last injection. No signs of toxicity were apparent from measurements of total body weight, liver/body weight and spleen/body weight ratios as well as assessment of the general condition (not shown). Accumulation of SSOs in selected tissues was quantified using chemical ligation—qPCR (CL-qPCR) (27,53,54) (Figure 5A). This technique is particularly useful for quantification of SSOs that are heavily modified and are not amplifiable by polymerases. Standard calibration curves for the four SSOs were generated in diluted lysate (Supplementary Figure S8) and used to determine SSO concentrations in the tissues of treated mice.
ORN1 was detected in all tissues except for brain and muscle (Figure 5B). Consistent with previous studies (55), the highest levels were found in kidney (178 ± 14 ng/mg tissue) and liver (46±8 ng/mg tissue), followed by bone marrow (35 ± 12 ng/mg tissue), spleen (20 ± 3 ng/mg tissue) and lung (10 ± 3 ng/mg tissue). Furthermore, the absolute concentrations of ORN1 measured using CL-qPCR are in accordance with those determined using radio-labeled oligonucleotides (15). ORNst showed a 2-fold higher uptake in liver (84 ± 16 ng/mg tissue), in spleen (40 ± 12 ng/mg tissue) and lung (17 ± 4 ng/mg tissue), and a slightly reduced accumulation in kidney. These findings are again consistent with reports that siRNAs conjugated to hydrophobic fatty acids are transported to the liver at the expense of kidney (25). ORNch showed 7-fold higher levels in liver (341 ± 50 ng/mg tissue), a 2-fold increase in spleen (54 ± 12 ng/mg tissue) and a 60% decrease in kidney compared to ORN1; the presence of ORNch in lung tissue was below accurate detection. Again, this is consistent with the findings of other groups using cholesteryl-siRNAs (23,56) and single-stranded antisense–cholesteryl conjugates (57). ORN84 showed an approximate 2-fold increase in liver (78 ± 22 ng/mg tissue) and lung (27 ± 8 versus 10 ± 3 ng/mg tissue), and markedly improved delivery to bone marrow (224 ± 87 versus 35 ± 12 ng/mg tissue) in line with its previously described properties (24).
We investigated the metabolic fate of the four SSOs after repeated administration in vivo. Tissue samples were processed using an OTX Clarity Kit and eluates were collected from kidney, liver, spleen, lung, brain and bone marrow. The extraction protocol worked poorly for samples containing ORNch, which was remedied by pre-treatment with proteinase K. Reference LC–MS spectra were generated by spiking SSOs into eluates collected from tissues from saline-treated mice. This permitted unambiguous identification and qualitative analysis of oligonucleotide-derived peaks in the chromatograms from samples from treated animals (Figure 6A). Deconvolution of the mass spectra returned molecular weights from which the structures of metabolites were inferred (Figure 6B; Supplementary Figures S9–S12).
Intact ORN1 was detected in all the tissues except the brain, accompanied by 5–10% of the (n – 1)-metabolite corresponding to loss of the 3′-terminal nucleotide (metabolite A). In contrast, all of the SSO conjugates showed fragmentation. Despite its high stability in mouse plasma, fully intact ORNst was only detected in trace amounts in the liver sample: hydrolysis of the stearoyl group was seen in all tissues (metaboliteB), together with minor amounts of the 3′(n – 1)-metabolite (C). Since the stearoyl group of this SSO was stable in plasma (Figure 4D), it seems possible that its metabolism occurred at the site of accumulation, or intracellularly. Similar to ORNst, ORN84 was not found intact in any tissues and the majority of its metabolites derived from progressive cleavage of the peptide. The major metabolite in liver, kidney, lung and bone marrow was the SSO attached to the terminal cysteine residue (H and I), whereas partial cleavage of the peptide occurred in spleen (metabolite G, possibly with E and F). ORNch was the most resistant of the series, and delivered a strong signal for intact ORNch from kidney, liver and spleen samples; the SSO was also detectable in lung and in bone marrow in lower amounts. Interestingly, cleavage of the PS-linkage to yield ORN1 and its 3′-truncated fragment (A) was observed in samples from kidney, liver and spleen as well as bone marrow.
Effects of SSOs on FECH RNA splicing in mouse tissues and organs
As discussed above, splice-switching activity of the SSOs in treated Emi/wt mice could not be assayed at the protein level, as the predominant transcript III (Figure 1c) from the humanized allele lacks exon 3. Therefore, we assayed SSO activity by the increase in the correctly-spliced transcript I by using SBYR Green RT-qPCR. Splice correction of the FECH transgene by SSOs was observed in kidney, liver, bone marrow, spleen and lung, with varying efficiency; we detected no increases in the correct transcript in spleen, heart and gastrocnemius muscle (Figure 7). The human aberrant FECH transcript is a substrate for NMD and therefore is unstable in vivo (3). Nevertheless, we assayed the aberrant/correct splice ratios in the liver sample using RT-PCR. The data correlated with that from the RT-qPCR measurements for three out of four SSOs (ORN1, ORNst, ORNch) (Supplementary Figure S13).
For single-stranded PS oligonucleotides, kidney is the main site of accumulation (Figure 5B) (15,58). The stearoyl conjugate ORNst was most effective in liver (1.6-fold) and in lung, two tissues in which the conjugated group increased accumulation (Figure 5B). ORN84, which was found at 6.5-fold higher levels in bone marrow (Figure 5B), did not show significantly better splice-modulating activity than ORN1 (Figure 7).
From the three SSO conjugates, ORNch provided the most promising results. Surprisingly, it did not exhibit superior activity to that of ORN1 in liver nor in kidney. This was unexpected since cholesterol conjugates are a well-known means to boost the activities of antimiR oligonucleotides in liver (21) (ORNch exhibited a 7-fold increase in liver; Figure 5B). Most importantly, however, ORNch showed a 1.8-fold increase in the FECH transcript in bone marrow compared to ORN1, with a similar level of accumulation. Since most of the FECH transcripts in the bone marrow likely originate from erythroblasts, the increase in correctly spliced FECH mRNA strongly suggests a successful uptake of the SSO by erythroblasts.
DISCUSSION
Loss-of-function (LoF) mutations that result in reduced or abolished protein function represent a common cause of genetic disorders. Many of these result from defective splicing events (59). It is difficult to discover or design conventional small-molecule drugs to correct defective splicing in a sequence-selective manner. However, oligonucleotides are well suited to modulate mRNA splicing since they bind with high selectivity directly to the disease-causing element. Consequently, there is considerable excitement for a wave of SSOs that are currently in pre-clinical and clinical development (31,60–62).
Splice-switching mechanisms differ fundamentally from terminating mechanisms for oligonucleotide therapies. For the latter, the drug is typically optimized to provide a maximum inhibition of the target; for the former, the objective is to increase expression of the target to counter a loss of function. For many LoF diseases, even a small increase in levels of the target protein can be therapeutically beneficial (63,64). This applies to EPP where it is thought that raising FECH protein/enzyme activity by 10–20% may be sufficient to provide therapeutic benefit to patients (9). The development of an oligonucleotide therapy for EPP is especially desirable since nearly all patients exhibit the same intronic SNP variant. On the other hand, an oligonucleotide therapy for EPP requires the delivery of the SSO into erythrocyte precursors in the bone marrow and with an efficiency to counter the rapid pace of erythrocyte biogenesis.
In this study, we identified PS-MOE SSOs that bind to the c.315-48 SNP and redirect the splicing of FECH, almost completely to the correct form in cell models. It is likely that the SSO blocks an EIE at the site of the SNP. We conjugated the SSO to three classes of targeting groups (cholesterol, fatty acids, peptides) and administered them to a mouse model of EPP in order to study their distribution, their metabolic stability and their FECH splice-switching ability. The conjugated groups exhibited distinct distribution profiles, notably increasing SSO delivery to liver, kidney, bone marrow and lung. A variety of sensitive techniques have emerged recently for the detection and quantification of oligonucleotides in biological samples (27,65,66). We employed CL-qPCR to quantify the SSOs in tissues and recorded similar values to those reported using other methods (10’s-100’s ng/mg tissue). Whereas the PS-MOE oligonucleotide was highly stable, the conjugates were heavily metabolized in vivo, particularly the amide linkage of ORNst, which was unexpected given its common use in drug conjugates (67–69). This metabolism likely occurred after clearance from circulation, since amide cleavage was not observed in the mouse plasma assay. The most robust SSO in vivo was ORNch, which did not boost the accumulation in bone marrow but nevertheless increased levels of correctly spliced FECH transcript by 80%. It is presently unknown whether a 1.8-fold increase in FECH transcript levels would produce a therapeutically-meaningful outcome, i.e. would lower circulating PPIX. However, the experiments performed in the K562 cells are encouraging, where a 30% increase of correctly spliced RNA raised levels of FECH protein by 50% (Figure 3B, C). Clarity on this question will be available from an improved mouse model of EPP (ongoing), i.e. expressing the same FECH transcripts (I and II in Figure 1C) present in EPP patients.
In this study, we quantified SSO accumulation and splice switching data in six tissues of the mouse by four SSOs. In order to affect splice switching, an SSO must reach the target tissue, be taken up by the appropriate cells, escape from intracellular compartments and traffic to the nucleus so as to bind the target pre-mRNA. One expects that the conjugate groups—and their metabolism—will affect these individual steps in various ways. Therefore, it was not unexpected that for these four structurally-distinct SSOs tissue accumulation did not correlate collectively with splice-switching activity.
The recent approval of several breakthrough oligonucleotide therapeutics signifies that RNA can today be considered as a mainstream class of drugs and drug targets. The oligonucleotides are single- or double-stranded, of various chemistries and they elicit their action upon well-validated mRNA targets expressed in the liver and the central nervous system. Extending the use of SSO therapies to the bone marrow, for example for EPP or other disorders, would significantly advance the oligonucleotide field.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Annamari Alitalo from the ETH Phenomics Center for useful discussions.
SUPPLEMENTARY DATA
Supplementary Data are available at NAR Online.
FUNDING
National Center of Competences in Research (NCCR) RNA & Disease. Funding for open access charge: Laboratory budget of the corresponding author.
Conflict of interest statement. None declared.
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