Open Access Article
Klas
Österberg
a,
Yalda
Bogestål
b,
Lachmi
Jenndahl
c,
Tobias
Gustafsson-Hedberg
c,
Jane
Synnergren
de,
Gustav
Holmgren
d,
Eva
Bom
b,
Sarunas
Petronis
b,
Annika
Krona
f,
Jonna S.
Eriksson
g,
Jennifer
Rosendahl
b,
Veronica
Crisostomo
hij,
Francisco M.
Sanchez-Margallo
hij,
Claudia
Baez-Diaz
hij,
Raimund
Strehl
c and
Joakim
Håkansson
*bk
aSahlgrenska Academy, Institution of Medicine, Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Blå Stråket 5 B, 41345 Gothenburg, Sweden
bRISE Research Institutes of Sweden, Methodology, Textile and Medical Device, Brinellgatan 4, 50462 Borås, Sweden. E-mail: Joakim.hakansson@ri.se; Tel: +46 702172197
cVERIGRAFT AB, Arvid Wallgrensbacke 20, 41346, Göteborg, Sweden
dSystems Biology Research Center, School of Bioscience, University of Skövde, 54128 Skövde, Sweden
eGothenburg University, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, 41345 Gothenburg, Sweden
fRISE Research Institutes of Sweden, Agriculture and Food, Box 5401, 40229 Gothenburg, Sweden
gTATAA Biocenter AB, Gothenburg, Sweden
hJesús Usón Minimally Invasive Surgery Centre, Cáceres 10004, Spain
iCIBER de Enfermedades Cardiovasculares, CIBER CV, Madrid 28029, Spain
jRICORS-TERAV Network, ISCIII, Madrid 28029, Spain
kGothenburg University, Department of Laboratory Medicine, Institute of Biomedicine, Gothenburg, Sweden
First published on 13th April 2023
Tissue engineering is a promising methodology to produce advanced therapy medicinal products (ATMPs). We have developed personalized tissue engineered veins (P-TEV) as an alternative to autologous or synthetic vascular grafts utilized in reconstructive vein surgery. Our hypothesis is that individualization through reconditioning of a decellularized allogenic graft with autologous blood will prime the tissue for efficient recellularization, protect the graft from thrombosis, and decrease the risk of rejection. In this study, P-TEVs were transplanted to vena cava in pig, and the analysis of three veins after six months, six veins after 12 months and one vein after 14 months showed that all P-TEVs were fully patent, and the tissue was well recellularized and revascularized. To confirm that the ATMP product had the expected characteristics one year after transplantation, gene expression profiling of cells from P-TEV and native vena cava were analyzed and compared by qPCR and sequencing. The qPCR and bioinformatics analysis confirmed that the cells from the P-TEV were highly similar to the native cells, and we therefore conclude that P-TEV is functional and safe in large animals and have high potential for use as a clinical transplant graft.
We have recently, in a short-term in vivo pig safety study of vena cava transplantation shown that biological individualized vascular vein graft has potential to be a viable option for patients in need of restoration of crucial venous function.16 This technique involves decellularization of native blood vessels from human or animal donors followed by reconditioning with autologous peripheral blood to generate individualized tissue-engineered vascular grafts. Decellularization is conducted through chemical, enzymatical and/or physical methods to eliminate the donor cells from the extracellular matrix (ECM) scaffold.17 We believe that the use of native ECM structures has great potential for cell attachment, migration and proliferation, and our studies show efficient recellularization in vivo of both vein and artery grafts.16,18 Preservation of functional organs by perfusion with whole blood or blood-derived solutions as preparation for transplantation has been shown useful for maintaining the organ physiology and functionality.19–21 The ambition with this treatment is to prime the tissue for efficient recellularization in vivo, protect from exposure of the collagen to prevent thrombosis and personalize the tissue to thereby preclude rejection after transplantation.
VERIGRAFT is developing clinical-grade grafts under the trade name personalized tissue-engineered vein (P-TEV). The P-TEV protocols of decellularization and reconditioning have been used to produce porcine individualized tissue-engineered grafts for preclinical testing (referred to as P-TEV in this text).
To proceed from our previous successful short-term safety study of P-TEV in an in vivo model of vena cava transplantation, we here implanted P-TEV in pigs and analyzed their functionality and characteristics after up to one year in vivo. The study was conducted at two facilities in two different countries: one six months study in a facility classified to the good laboratory practice (GLP) quality system in Spain, and one one-year study in Sweden. The results showed full patency of all grafts throughout the whole study and that the characteristics of the cells repopulating the grafts were very similar with cells in native vein tissue.
From each pig to be transplanted with P-TEV, peripheral whole blood was collected in heparin vacutainers (BD) one week pre-surgery under sedation with tiletamine/zolazepam (Zoletil 50 mg ml−1 + 50 mg ml−1, 0.06 ml kg−1) and dexmedetomidin (Dexdomitor 2.5 mg). 25 mL blood was mixed immediately with 25 mL STEEN Solution (XVIVO Perfusion), 0.5% antibiotic-antimycotic mix (Thermo Fisher Scientific), 80 ng ml−1 VEGF (Cellgenics) and 10 ng ml−1 FGF (R&D Systems). 5 μg ml−1 acetylsalicylic acid (Sigma-Aldrich) was added to terminally inhibit all contained thrombocytes. The complete blood solution was added to the decellularized blood vessel inside a reconditioning bioreactor, which allowed circulation of the blood solution through and around the vessel in a vertical position at 2 mL min−1. This process was performed in a laminar flow hood at room temperature for seven days and the glucose level was measured with a Contour XT glucose meter (Bayer) and kept at 3–8 mM and adjusted with glucose solution (Life Technologies, USA) when needed. After perfusion, the graft was harvested, rinsed, biopsied for DNA quantification and histology and kept in PBS + AA until use. During blood procurement and production, a system was used to allow traceability of the autologous pig blood and the resulting graft to allow administration in an individualized, strictly autologous manner.
All animal procedures were performed in accordance with the Guidelines for Care and Use of Laboratory Animals of Sweden and Spain according to the Directive 2010/63/EU of the European Parliament and have been approve by the local ethics committee for animal studies at the administrative court of appeals in Gothenburg, Sweden and Caceres, Spain. The model previously developed for P-TEV transplantation16 was used in this study with the exception that mini pigs were used for the 12 months setup.
Briefly, 7 female minipigs around one year of age (ELLEGAARD, Denmark) (bodyweight 35–40 kg) were used for the setup up to 14 months in Sweden and 1 female and 2 males 4–5 months old pigs (Large white, CRISJEROPRA; EL PAGON° EXP, Spain) (bodyweight 40 kg ± 10% at inclusion) were used for the 6 months GLP setup in Spain. None of the female pigs had any history of pregnancy. The pigs were cared for in accordance with regulations for the protection of laboratory animals and the pigs were housed together before and after surgery. The rooms had bedding consisting of wood shavings and straw, and the pigs were fed twice daily and had free access to water. Acetylsalicylic acid (Trombyl, Pfizer) 160 mg was given orally once daily during the whole study starting six days before surgery and rivaroxaban (Xarelto, Bayer) 2 mg kg−1 was given orally twice daily during the whole study starting the day before surgery. All surgeries were performed under sterile conditions and under isoflurane anesthesia. Anesthesia was induced with intramuscular injections of dexmedetomidine 30 μg kg−1 (Dexdomitor, Orion Pharma Animal Health), tiletamine 3 mg kg−1 and zolazepam 3 mg kg−1 (Zoletil, Virbac). The pigs were intubated and given inhalation anesthesia with isoflurane (Attane vet, VM Pharma) (between 2.5–3.8% to keep 1.3–1.5 minimal alveolar concentration (MAC)). For pain relief, carprofen 4 mg kg−1 (Norocarp vet, N-vet) and buprenorphine 0.03 mg kg−1 (Vetergesic vet, Orion Pharma Animal Health) was given intra venously. An incision was made through linea alba and a retroperitoneal approach was performed to localize vena cava. On the right side, the peritoneum and the abdominal wall were separated down to the vena cava and thereby the intestines were left untouched. The section of vena cava between vena renalis and the bifurcation to vena iliaca communis was dissected free from surrounding tissue. At the time of implantation, heparin 10
000 IU (Leo Pharma) was administered intra venously before clamping the vein. P-TEV of average length 2.6 ± 0.3 cm and average luminal diameter 6.0 ± 1.2 mm was implanted using 6-0 Prolene (Ethicon) as end-to-end anastomoses with continuous suture. Detailed information of luminal diameter and length of each graft is noted in ESI Table I.† Metal clips were sutured at the anastomoses to facilitate orientation under X-ray imaging. The abdominal musculature was sutured with Maxon 0 (Ethicon) and the skin was sutured with a Monocryl 3-0 (Ethicon) intradermally. For post-surgery pain relief, carprofen 2 mg kg−1 (Norocarp, N-vet) was given orally twice daily for 3 days. Six of the pigs in Sweden were euthanized after 12 months and one 14 months after surgery. The results of these seven pigs were included in the same group. All 3 pigs in Spain were euthanized 6 months after surgery. At euthanization, angiography was performed on the operated area of vena cava under isoflurane anesthesia (as described above) by injecting contrast fluid (Urografin 76, Bayer) into a femoral vein or vena cava outside the graft. At harvest, the operated segment of vena cava, including adjacent area of native vena cava, was excised from the pigs under anesthesia before euthanization for further analysis. The animals were euthanized by an intravenous overdose of pentobarbital 100 mg kg−1 (Allfatal vet 100 mg ml−1). No extra anticoagulant or antiplatelet drugs were used.
:
50, Abcam ab28364), CD45 (1
:
200, Abcam ab10558) or alpha smooth muscle actin (αSMA, 1
:
100, Abcam ab7817) over night, followed by incubation with secondary antibodies, anti-mouse (1
:
200, A21203, Thermo Fisher) or anti-rabbit (1
:
200, A21207, Thermo Fisher), conjugated to Alexa Fluor 594 for 1 h. DAPI (Thermo Fisher Scientific) was used as a counterstain. Negative controls were performed without the primary antibody. Quantification of cellular (analyzing DAPI-staining) and capillary (analyzing CD31-staining) density was performed on images using the ImageJ 1.51R software.
:
25 and 1
:
50, respectively, in PBS with 0.5% BSA, either one by one (single-labelling) or mixed together (double-labelling). Samples were rinsed 3 × 5 min in PBS and incubated in room temperature for 2 h in darkness with fluorescently labelled secondary antibodies, i.e., Alexa Fluor Plus 488 goat anti-mouse IgG (H + L) (Invitrogen, Carlsbad, USA) and Alexa Fluor 546 Goat anti-Rabbit IgG (H + L) (Invitrogen, Carlsbad, US) for aSMA and CD31 respectively, diluted 1
:
100 in PBS with 0.5% BSA. The samples were rinsed 3 × 5 min in PBS and stained with SYTOX™ Deep Red Nucleic Acid Stain (Invitrogen, Carlsbad, USA), washed in PBS and mounted with ProLong Diamond™ Antifade Mountant (Invitrogen, Carlsbad, USA). The samples were examined in a confocal laser scanning microscope (SP5, TSC Leica, Heidelberg, Germany) using a HCX PL APO lambda blue 20.0 × 0.70 IMM UV objective with zoom 1× and 4×. Excitation was performed with a 488 nm argon laser, a 543 nm HeNe laser and a 633 nm HeNe laser. Emission signals were collected at 500–530 nm (shown in green), 572–600 nm (shown in red) and 650–710 nm (shown in blue). Micrographs were acquired with 1024 × 1024 pixels, 8-line average.
qPCR was performed using Bio-Rad CFX 384 system in singlicates for each assay. 10 μL reactions were run using 1× TATAA Probe GrandMaster® mix (TATAA Biocenter, cat. no. TA02-625), premixed 10 μM primers (final concentration of 400 nM), 200 nM probe, and 2 μL of 33× diluted pre-amplified cDNA. The reactions were run under the following thermal conditions: 96 °C for 60 s, 45 cycles at 95 °C for 5 s and 60 °C for 30 s. Data was processed using the CFX Manager 3.1 (Bio-Rad) with baseline subtracted curve fit correction and regression method for Cq determination. Quantitative PCR was performed in agreement with the minimum information for publication of quantitative real-time PCR experiments (MIQE) guidelines.52
:
2000), anti-pig CD31-PE (Bio-Rad, #MCA1746PE, 1
:
20), anti-pig CD45-FITC (Bio-Rad, #MCA1222F, 1
:
10) and sorted on a BD FACS Melody using the ACDU system (Automated Cell Deposition Unit) into 96 well plates containing CelluLyser Micro Lysis buffer (TATAA, #H104) for single cell qRT-PCR.
The data analysis was performed using the Seurat R-package for single cell analysis version v4.0.5.53 In total for all donor pigs, 2244 cells (including controls) were sequenced and of these 72 cells were flagged as low quality and removed from the dataset. During preprocessing, the dataset was filtered based on counts, mitochondrial signal and detected genes, and cells with less than 5000 counts and more than 9
000
000 counts were removed from the dataset. Moreover, cells with more than 5% mitochondrial signal, and cells with fewer than 500 or more than 20
000 genes were filtered from the dataset. The latter is based on the assumption that too many detected genes are most likely the result from doublets of cells instead of single cells.54 To exclude blood derived cells remaining in the tissue, all CD45+ cells were removed. The dataset was then split into CD31+ and CD31− cells and these groups were analyzed separately.
To gain insights into potential sub-cell types present in the CD31+ and CD31− groups, the cells were clustered based on their expression profiles using the top 5 dimensions and resolution 0.4 in Seurat. Dimension reduction was performed with Uniform Manifold Approximation and Projection (UMAP). Differential expression analyses were performed of each cluster compared with all the other clusters, and markers that show distinct expression pattern in one group compared to all the other groups were identified using marker identification methods in Seurat. Heatmaps and dotplots were used to visualize the expression of these cell specific markers and compare their expression in both P-TEV and native samples. Heatmaps were generated based on the top significant biomarkers for each cluster to explore if large variations between clusters were present in the data or if the sorted CD31+ and CD31− populations were rather homogeneous. Dotplots of the three top cluster markers, for each of the five clusters, were used to investigate if the variance for these markers could be related to the treatment of the grafts or if the P-TEV and native samples show similar expression patterns for the 15 most significant cluster markers.
To investigate the similarities between P-TEV and native samples in terms of which genes are expressed, the average expression values (AEV) of genes in all cells in each group (P-TEV and native) were calculated and genes with AEV > −0.1 (normalized and scaled values) across all cells were considered expressed. Venn diagrams were used, applying functions in the ggvenn R-package, to visualize the overlap of expressed genes between P-TEV and native samples. The expression of a selection of typical biomarkers for endothelial cells in P-TEV and native cells are visualized with violin plots for the different cell clusters to explore if transcriptional deviations are present.
Lymphocyte count in the autologous peripheral whole blood, used for reconditioning, was between 4.0–8.0 × 106 lymphocytes per ml, which is in the lower range of published values from 6 months Gottingen pigs.22 DNA quantification of the decellularized vein showed almost complete removal (99.8%) of DNA from the native vessel, 383 ± 47 ng mg−1 tissue, compared with 0.7 ± 0.1 ng mg−1 tissue after decellularization. The reconditioning increased the DNA content to 20 ± 5 ng mg−1 tissue and the explanted graft, after 12–14 months in vivo, contained 171 ± 26 ng mg−1 wet tissue, which was equal to native vena cava adjacent to the P-TEV after 12–14 months in vivo (168 ± 23 ng mg−1 wet tissue) (Fig. 1).
The P-TEV's transplanted to the three pigs in the GLP facility, evaluated after 6 months, showed the same recellularization of the vascular tissue (ESI Fig. 2A and B†), even expression of the CD31 marker of endothelial cells (ESI Fig. 2C†) and expression pattern of αSMA (ESI Fig. 2D†) as the P-TEV's evaluated after 12–14 months.
To exclude any rejection reaction, P-TEV tissue was stained with antibodies against the leukocyte marker CD45. The only CD45 positive cells found were in the anastomosis in connection with the non-resorbable sutures, which is expected (data not shown). No damage or other visual sign could be found on the lumen indicating that an inflammatory response was initiated.
The panel was chosen to include both highly and lowly expressed genes, in CD31+ and CD31− cells. Genes selected for CD31+ cells were CD31 (PECAM), CD54 (ICAM-1), Flt-1 (VEGFR1), FLK-1 (VEGFR2), CD144 (VE-cadherin), CD105 (Endoglin), vWF and Tie2. Genes chosen for CD31− cells were VEGF, KLF2 (Krüppel-like factor 2), bFGFR, PDGFRB, CEBP-1 and MYH10. A principal component analysis (PCA)-plot of the summarized gene expression from the single cell qPCR clearly illustrates, as expected, that the profile of the CD31+ cells separate from the CD31− cells. Importantly, the P-TEV (graft) cells from respective group overlapped well with cells from the native vena cava tissue. The expression level in native and P-TEV cells was statistically different only for one gene; VEGF in the CD31+ cells, Fig. 7A. The gene load is illustrated in Fig. 7B. Expression levels of the individual genes shows that the graft cells follow the native cells very well for all genes. One difference was for the gene SMTN. The SMTN protein is expressed in smooth muscle cells, and the gene expression level in graft and native CD31− cells was, as expected, very similar. In our analysis, the CD31+ cells also expressed this gene with a difference between the graft and native cells; however, the expression level is relatively low, the absolute difference between the groups is small and there is no statistically significant difference, Fig. 7C.
To perform an even more broad and deeper analysis of the gene expression characterization, in purpose to evaluate the similarities between the cells in the P-TEV and native cells, a portion of the dissociated cells were used for further large-scale single cell RNA sequencing.
The expression signals from each group were scaled and normalized using appropriate methods from Seurat, and dimensional reduction was performed using a principal component analysis based on the 2000 most highly variable genes. The first 5 dimensions in the dataset were used for the UMAP visualization and cell type-marker analysis.
Results from the data analysis showed no distinct sub-cell types but more diffuse areas of cell clusters that connect to adjacent cell collections without forming distinct and separated UMAP clusters. Using the top five dimensions and a resolution of 0.4 in Seurat, the clustering identified five clusters (0–4) of cells that showed similar transcriptional profile (Fig. 8A and 9A). To highlight any overrepresentation of native or P-TEV cells in these clusters, they were coloured according to sample types in Fig. 8B and 9B. Overall, the native and P-TEV cells showed an even distribution among the clusters with a few exceptions. For the CD31+ data, an overrepresentation of P-TEV in cluster 0 (marked with an oval in Fig. 8B) was observed. For the CD31− data, there was an overrepresentation of P-TEV in cluster 0 (marked with an oval) and an over-representation of native cells in cluster 2 and 3 (marked with a dashed oval), see Fig. 9B. The heatmaps of the top marker genes for each of the five clusters from Fig. 8A and 9A confirmed that no large variation could be observed even for these top ranked marker genes in the specific clusters as the identified sub clusters showed a similar transcriptional profile for these marker genes (Fig. 8C and 9C). The expression levels of a selection of typical biomarkers for endothelial cells were investigated in the CD31+ data and results are shown in Fig. 8D where a strong signal of PECAM1 was observed in the majority of the cells in all five clusters. FLT1 was mainly expressed by cells in cluster 1, and KDR, TEK and CDH5 showed strong expression in P-TEV cells in cluster 2 and 3. FGFR1 showed strongest expression in cluster 4 for both the P-TEV and native cells. KLF4, ENG and ICAM1 showed to be highest expressed in cluster 2–4 and slightly stronger expression was observed for KLF4 by the native cells, while ENG and ICAM1 were more expressed in the P-TEV cells. VWF showed expression in all clusters except for cluster 4. In the CD31− cells, a strong expression of ICAM1 and FGFR1 were observed for cells in cluster 4, with high similarity between P-TEV and native cells (Fig. 9D). Moreover, KLF4 showed a strong expression in cells in cluster 2–4 and the transcription of this marker gene was highly similar in both the P-TEV and the native cells (Fig. 9D).
![]() | ||
| Fig. 8 Single-cell RNA sequencing analysis of CD31 positive cells. (A) UMAP clustering of cells into five clusters. (B) Colour coding the UMAP on P-TEV and native cells demonstrated a similar distribution of P-TEV and native cells in the clusters except for cluster 0, marked with an oval, which has an overrepresentation of P-TEV cells. (C) Heatmap of the top markers for each of the five clusters shown in panel (A). Gene names in order from top to bottom are found in ESI Table III.† (D) Violin plots showing the expression of ten endothelial marker genes in the five identified clusters from panel (A). Blue represents native cells and green represents P-TEV cells. (E) Venn diagram showing the overlap of transcriptional activity between P-TEV and native samples. In total 1413 genes (70.7%) were expressed in both native and P-TEV samples, 574 genes (28.7%) were only expressed in the native samples and 13 genes (0.7%) were only expressed in the P-TEV samples. (F) The dotplot illustrates at a detailed level the similarities between the native and P-TEV samples for 15 top markers (three from each of the five identified clusters represented as rows in the plot). Similar dot diameter and colour intensity for the native (blue) and P-TEV (green) biomarkers indicate high similarity between these tissue samples. Colour intensities are relative to level of expression. The colour coded rectangles correspond to the clusters illustrated in panel (A). As shown in this plot, the variance of the identified marker genes is not attributed to the graft as the P-TEV and native samples show highly similar size and colour intensity for in principle all the top 15 marker genes. | ||
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| Fig. 9 Single-cell RNA sequencing analysis of CD31 negative cells. (A) UMAP clustering of cells into five clusters. (B) Cells from both P-TEV and native samples were more or less equally represented in the clusters except for cluster 0 (marked with a solid oval line), which had an overrepresentation of P-TEV cells, and cluster 2 and 3 (marked with a dashed line), which were overrepresented with native cells. (C) Heatmap of the top markers for each of the five clusters shown in panel (A). Gene names in order from top to bottom are found in ESI Table IV.† (D) Violin plots showing the expression of ten typical blood vessel biomarker genes in the five identified clusters from panel (A). Blue represents native cells and green represents P-TEV cells. (E) Venn diagram showing the overlap of transcriptional activity between P-TEV and native samples. In total 1823 genes (91.2%) were expressed in both native and P-TEV samples, 170 genes (8.5%) were only expressed in the native samples and 7 genes (0.3%) were only expressed in the P-TEV samples. (F) The dotplot illustrates at a more detailed level the similarities between the native and P-TEV samples for 15 top markers (three from each of the five identified clusters represented as rows in the plot). Similar dot diameter and colour intensity for the native (blue) and P-TEV (green) biomarkers indicate high similarity between these tissue samples. Colour intensity represents level of expression. The colour coded rectangles correspond to the clusters illustrated in panel (A). Similarly, as for the CD31+ samples this plot the identified variance of the marker genes cannot be attributed to the graft, as the P-TEV and native samples show highly similar size and colour intensity for in principle all the top 15 marker genes. | ||
To further explore the transcriptional activity in P-TEV and native cells, the average expression values were calculated for each gene in the CD31+ and CD31− datasets, respectively, and the overall overlap of expressed genes between P-TEV and native cells in these datasets are shown in the Venn diagrams in Fig. 8E and 9E. For the CD31+ cells 71% of the transcripts were expressed in both P-TEV and native samples, and for the CD31− samples the overlap of transcriptional activity was as high as 91% between P-TEV and native. Moreover, the dotplots shown in Fig. 8F and 9F illustrate a high similarity between the P-TEV and the native samples for a selection of specific marker genes, shown by the comparable size of the dots (representing % of cells with expression of the specific marker gene) and the similar intensity of the colours (green for P-TEV and blue for native) which are relative to the level of gene expression.
Patency issues with decellularized grafts for artery surgery have been suggested to be due to thromboses initiated when the blood gets in contact with exposed collagen on the graft luminal surface.25,27,28 There are different potential ways of overcoming this problem: one is to immobilize modified peptides to the luminal side of the blood vessel to improve in vivo endothelialization.29,30 Another is recellularization of decellularized grafts prior to transplantation with different sources of endothelial cells, e.g. somatic ECs,31,32 endothelial progenitor cells,32–34 induced pluripotent stem cell derived ECs35 or embryonic stem cell derived ECs.36 However, growth and expansion of cells in vitro entails a potential risk with the introduction of genetic variation and mutations which brings regulatory hurdles in addition to higher costs and longer production time. In the present study, we used a decellularization method which preserves the biomechanical characteristics, such as maximum tensile strength and burst pressure, while the stiffness increases somewhat compared to the native vein. The amount of insoluble collagen in the ECM scaffold also remains unchanged whereas soluble collagen and glycosaminoglycans (GAGs), an important molecular target for organ rejection, decreases.37 Our aim is to protect the luminal surface from direct contact with the circulating blood after transplantation by a preconditioning process using the recipient's own blood to cover the collagen with a biolayer consisting of blood components.16 The theory is that this biolayer shields the graft from thrombosis and stimulates recruitment of cells for an efficient recellularization in vivo. One factor explaining the low predisposition for thrombosis could be that, compared with autologous grafts, the decellularized and reconditioned vessel wall contains no smooth muscle cells that could be induced to secrete tissue factor (TF) by the surgical transposition and blood contact and thereby cause a pro-coagulant response.38 Also, the personalization of the graft inhibits the immune system to react to any possible residual antigens and thereby protects from rejection of the implanted vessel.
It has earlier been suggested that growth factors in the preconditioning solution bind to the graft and potentially support regeneration of the tissue by promoting recellularization and differentiation of stem cells.39,40 Data from our previous ROTEM analysis showed increased clotting time, increased clot formation time and decreased alpha angle, indicating improved hemocompatibility and thereby a slower activation of the intrinsic coagulation system for the reconditioned P-TEV compared to native and decellularized tissue.16
In the current study, we present a tissue engineered vascular graft for venous reconstruction which become fully biologically integrated to the recipient animal with good short- and long-term patency. We used P-TEV, produced by decellularization and reconditioning, and evaluated safety and functionality of the grafts in a porcine in vivo vena cava transplantation model for up to 14 months. To further validate the concept, animal studies were performed in two different labs in two different countries (Sweden up to 14 months follow up and Spain up to 6 months follow up) on two different breeds of pig. Also, the study performed in Spain was conducted according to the good laboratory practice (GLP) quality system to complete the regulatory documentation in preparation of a clinical study. The decellularization process was efficient and limited the DNA content to a level well below the 50 ng DNA per mg dry ECM weight commonly used as the criterion for sufficient decellularization.41 The reconditioning protocol has been optimized with different perfusion time starting from two days. Binding of autologous components from the blood increased with time, but after seven days a decrease in the quality of the blood solution was apparent with increased hemolysis and methemalbumin, why seven days was chosen. The DNA content of the excised graft did not reach up to the DNA content of native tissue which is probably due to remaining scar tissue, formed during the surgery and healing, that was not possible to dissect from the P-TEV. This was supported by analyzing the DNA content of native tissue adjacent to the P-TEV excised after 12–14 months which contained the same DNA amount as the P-TEV (Fig. 1). At analysis, all P-TEVs were fully patent and did not show any signs of occlusion. We have previously shown that recellularization starts already three days post-surgery, and that the graft was well cellularized 17 days post-surgery.16 Here we could see that the patency (Fig. 2), cellular content and tissue morphology was consistent, and equal with native tissue up to 14 months post-surgery (Fig. 3–5 and ESI Fig. 1, 2†).
Intimal hyperplasia, where smooth muscle cells are abnormally integrated into the vascular tunica intima, inducing stenosis, is a common problem in blood vessel grafting in clinic. Despite the fact that pigs are known to be prone to develop intimal hyperplasia compared to other model animals,42 no intimal hyperplasia was observed in any of the P-TEV one-year post-surgery (data not shown).
Scanning electron microscopy and confocal microscopy en face revealed that the luminal surface of the P-TEV was completely covered with CD31-expressing endothelial cells with a morphology indistinguishable between native and P-TEV tissue and thereby shielding the luminal collagen from direct contact with the blood (Fig. 4). One key issue in regenerative medicine is that engineered tissue needs to be revascularized to be able to support the cells with oxygen and nutrition since the diffusion capacity is limited to approximately 150 μm.43–45 Cross section histology with confocal microscopy showed the important observation that the blood vessel tissue of the P-TEV was revascularized with capillaries comparable with the native tissue (Fig. 5). Also, no acellular regions or areas with necrosis were identified as possible signs of hypoxia or limited access to nutrient.
There is an ongoing essential discussion of what happens with an implanted ATMP-product over time in the body. Therefore, in addition to show safety and functionality of the P-TEV after one year in vivo, we here also wanted to investigate the characteristics of the regenerated P-TEV more deeply during long term conditions. This was performed using gene expression profiling, and to cover this in detail as comprehensive as possible, large-scale transcriptomic sequencing was performed on dissociated cells and specific analysis was performed on a panel of blood vessel markers with single cell qPCR. After excision of the P-TEV (one-year post-transplantation), P-TEV tissue was dissociated to get the cells into single cell suspension. A blood vessel is built up mainly by the three cell types; endothelial cells lining the luminal cell wall, perivascular mural cells which is a collection name for pericytes and vascular smooth muscle cells, and fibroblasts. Our analysis was based on a separation between endothelial cells in one group (CD31-positive cells) and the rest in the other group (CD31-negative cells). A portion of the dissociated cells were FACS sorted, initially to discard blood derived CD45-positive cells, and after that the cells were sorted for CD31-posivite and CD31-negative cells. From the single cell qPCR, we could draw the conclusions that the expression levels of the selected blood vessel marker genes showed highly similar expression levels in native and P-TEV derived cells with only VEGF expression in CD31+ cells as significantly different between native and P-TEV cells. Also, the expression levels of the genes were at the expected levels for markers related to CD31-positive and CD31-negative cells, respectively, except for SMTN with a lower expression in P-TEV CD31-positive cells compared to native. However, this gene is expressed by all blood vessel cells and the difference was not statistically significant between the groups (Fig. 7). The more comprehensive single cell transcriptomic analysis performed using RNA sequencing also revealed a high level of transcriptional similarity between the P-TEV and native tissue samples. The overlap of transcribed genes between P-TEV and native (ranging from 70–91%), shown in the Venn diagrams, demonstrates that the process for decellularization and reconditioning promotes the development and maturation of P-TEV with high similarity to the native tissue with respect to which genes that show transcriptional activity (Fig. 8E and 9E). However, the Venn diagram do not show the level of expression for each gene but instead the sets of genes that were detected as expressed in out data. The even distribution of both P-TEV and native cells in the UMAP clustering's also indicate high transcriptional similarity between the P-TEV and the native samples (Fig. 8B and 9B).
A known limitation of the study is that a decellularized scaffold was not included as a control group for the in vivo study. However, the aim of these long-term studies was to demonstrate safety as part of a preclinical safety package. The studies can further help to elucidate the functionality, safety and detailed gene expression characteristics relating the P-TEV to native tissue but not to compare mechanistical differences between decellularized scaffolds and P-TEV. This study was part of the final step before clinical trial, and the literature has already demonstrated several problems with decellularized scaffolds.9,24,27,46
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d2bm02011d |
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