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A chronic rejection model and potential biomarkers for vascularized composite allotransplantation

  • Flemming Puscz ,

    Contributed equally to this work with: Flemming Puscz, Mehran Dadras

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Plastic Surgery, Burn Centre, BG University Hospital Bergmannsheil, Bochum, Germany, Clinic for Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, Germany

  • Mehran Dadras ,

    Contributed equally to this work with: Flemming Puscz, Mehran Dadras

    Roles Data curation, Investigation, Validation, Writing – original draft, Writing – review & editing

    Affiliation Department of Plastic Surgery, Burn Centre, BG University Hospital Bergmannsheil, Bochum, Germany

  • Alexander Dermietzel,

    Roles Conceptualization, Data curation

    Affiliations Division of Plastic Surgery, Department of Trauma, Hand and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany, Institute of Musculoskeletal Medicine, University Hospital Muenster, Muenster, Germany, Department of Plastic, Reconstructive and Aesthetic Surgery, Hand Surgery, Fachklinik Hornheide, Muenster, Germany

  • Frank Jacobsen,

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Plastic Surgery, Burn Centre, BG University Hospital Bergmannsheil, Bochum, Germany

  • Marcus Lehnhardt,

    Roles Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

    Affiliation Department of Plastic Surgery, Burn Centre, BG University Hospital Bergmannsheil, Bochum, Germany

  • Björn Behr,

    Roles Funding acquisition, Project administration, Writing – review & editing

    Affiliation Department of Plastic Surgery, Burn Centre, BG University Hospital Bergmannsheil, Bochum, Germany

  • Tobias Hirsch,

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Division of Plastic Surgery, Department of Trauma, Hand and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany, Institute of Musculoskeletal Medicine, University Hospital Muenster, Muenster, Germany, Department of Plastic, Reconstructive and Aesthetic Surgery, Hand Surgery, Fachklinik Hornheide, Muenster, Germany

  • Maximilian Kueckelhaus

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    maximilian.kueckelhaus@ukmuenster.de

    Affiliations Division of Plastic Surgery, Department of Trauma, Hand and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany, Institute of Musculoskeletal Medicine, University Hospital Muenster, Muenster, Germany, Department of Plastic, Reconstructive and Aesthetic Surgery, Hand Surgery, Fachklinik Hornheide, Muenster, Germany

Abstract

Background

Chronic rejection remains the Achilles heel in vascularized composite allotransplantation. Animal models to specifically study chronic rejection in vascularized composite allotransplantation do not exist so far. However, there are established rat models to study chronic rejection in solid organ transplantation such as allogeneic transplantation between the rat strains Lewis and Fischer344. Thus, we initiated this study to investigate the applicability of hindlimb transplantation between these strains to imitate chronic rejection in vascularized composite allotransplantation and identify potential markers.

Methods

Allogeneic hindlimb transplantation were performed between Lewis (recipient) and Fischer344 (donor) rats with either constant immunosuppression or a high dose immunosuppressive bolus only in case of acute skin rejections. Histology, immunohistochemistry, microarray and qPCR analysis were used to detect changes in skin and muscle at postoperative day 100.

Results

We were able to demonstrate significant intimal proliferation, infiltration of CD68 and CD4 positive cells, up-regulation of inflammatory cytokines and initiation of muscular fibrosis in the chronic rejection group. Microarray analysis and subsequent qPCR identified CXC ligands 9–11 as potential markers of chronic rejection.

Conclusions

The Fischer344 to Lewis hindlimb transplantation model may represent a new option to study chronic rejection in vascularized composite allotransplantation in an experimental setting. CXC ligands 9–11 deserve further research to investigate their role as chronic rejection markers.

Introduction

Within the past 20 years, vascularized composite allotransplantation (VCA) has emerged as a new therapeutic option for severe defects in reconstructive surgery. In this relatively young field of transplantation, acute rejection (AR) is mainly understood and can roughly be divided into cell mediated rejection and antibody mediated rejection [1]. In contrast, chronic rejection (CR) in the setting of VCA is still poorly understood [2,3].

As the number of clinical VCA is constantly increasing, CR presents a major obstacle to implement this method as a reliable treatment option in standard clinical practice; in particular, as VCA is usually not a life-saving procedure. Therefore, valid experimental models for the assessment of CR are vital to uncover underlying mechanisms behind CR with potential links for treatment and predict long-term outcome of these life-changing surgeries. Given the lack of currently available studies, there is no standardized, well-established animal model to assess CR in VCA so far.

In solid organ transplantation (SOT), animal models for CR research are well-established and used regularly. CR animal models mainly derive from a close major histocompatibility complex (MHC) compatibility between donor and recipient, which leads to mild immunological response and slow graft-deterioration in terms of CR. The Fischer344-Lewis rat model represents a frequently utilized combination in CR research, particularly in kidney transplantation [4]. The inbred rat strains Lewis (LEW) and Fischer344 (F344) are considered haploidentical and differ only at minor-histocompatibility loci, which are non-MHC encoding [5]. Hence, kidneys from F344 transplanted to LEW remain functionally intact for more than 100 days without immunosuppression and present histopathological changes similar to CR [4].

As the orthotopic hindlimb transplantation between fully MHC mismatched rat strains with irregular application of immunosuppression is the only known approach to simulate CR in a rodent model for VCA [6], we decided to investigate if higher MHC compatibility may be a more favorable method. Therefore, we transformed the Fischer344-Lewis model from SOT into a VCA setup to perform the orthotopic hindlimb transplantation between LEW and F344 rats.

Preliminary studies showed that skin allografts transplanted from F344 to LEW are rejected in 9–12 days due to AR [7], which is triggered by the high skin immunogenicity. These findings coincide with clinical findings, where skin is usually the first tissue to be targeted by AR [8].

By initiating this study, we sought to investigate the applicability of the Fischer344-Lewis model for the assessment of CR in VCA and identify potential biomarkers.

Materials and methods

Experimental groups and study design

For group assignment of the transplantations confer Fig 1. Each group consisted of n = 5 animals. In all three transplantation groups, LEW served as recipients. F344-rats were donors in the CR group and the group receiving constant cyclosporine A (CsA group). All grafts were monitored daily for signs of rejection. The Iso group did not receive any immunosuppressive treatment. The CsA group received 5 mg/kg/day cyclosporine A via intraperitoneal injections. The CR group was treated only when signs of an acute skin rejection e.g. erythema or edema (defined as foot-swelling of ≥ 25%) occured. Treatment consisted of 10 mg/kg cyclosporine A and 2 mg/kg dexamethasone intraperitoneal and was administered daily until clinical signs of rejection completely disappeared.

Endpoints were either irreversible rejection (epidermolysis and/or necrosis of the graft) or postoperative day 100. At the endpoint, animals were euthanized by cervical dislocation under Isoflurane anesthesia and tissues were obtained for further analysis.

Animals

All experiments were approved by the federal organization for animal care (LANUV NRW, registration number: AZ 84–02.04.2016.A330) and were performed in accordance with the European guidelines for laboratory animal care. Nine to ten week old female rats were purchased from Charles River, with a weight of 150–170 g (F344) and 190–210 g (LEW), respectively. They were maintained in an enriched, pathogen-free environment at our institution’s animal facility at a 12 h light/dark cycle and given access to standard laboratory chow and water ad libitum. Animals were held in groups of five in a European standard type IV cage (1800 cm2) with a height of 20 cm to enable standing at a constant room temperature of 22.5°C.

Hindlimb-transplantation

Orthotopic hindlimb-transplantations were performed in a single-surgeon approach according to previous protocols [9,10]. In brief, the donor animal was anesthetized using Isoflurane 5% induction and 1–2% maintenance + 2 l/min O2. Analgesia was performed by subcutaneous injection of 0.1 mg/kg BW buprenorphine according to the guidelines of the German Society for Laboratory Animal Science.

After circumferential skin incision, femoral vessels, saphenous and sciatic nerve were dissected and transected proximally, to obtain sufficient length for vessel anastomosis and nerve coaptation. Amputation ended with muscle and femur transection. The femoral artery then was cannulated using a 27-gauge canula and the graft was flushed with 5 ml of cooled heparinized saline (50 IU/ml). The donor-limb was then stored at 4°C wrapped in wet gauze. The recipient’s limb was prepared in the same fashion. Limb rejoining began with the osteosynthesis, using an intramedullary rod, made from an 18-gauge needle. Femoral vessels and nerves were sutured using 10–0 nylon in an interrupted fashion. Ischemia time was 211 (95%CI: 203 min. to 219.2 min.) minutes on average. Muscle adaptation was performed, and transplantation ended with skin suture. Chinin-powder and spray-dressing were applied to the transplanted limb to prevent auto-mutilation.

Histology and immunofluorescence

Muscle-, skin- and femoral artery-specimens were embedded in optimum cutting temperature compound (Tissue-Tek, Sakura Finetek Europe, Alphen aan den Rijn, Netherlands), snap frozen in isopentane and cut into 7 μm frozen sections. Microscopy was performed with Olympus IXplore pro (Olympus, Hamburg, Germany) and CellSens Imaging (Olympus, Hamburg, Germany).

For vasculopathy quantification, muscle and skin sections were stained with hematoxylin and eosin (for small vessel analysis) or Masson’s trichrome (for analysis of femoral arteries), respectively. Following this, we examined the sections at 10-fold (for femoral arteries) and 40-fold (for arterioles) magnification and measured vessel diameter, lumen diameter, intima thickness and media thickness. Intimal proliferation in femoral arteries was calculated with the formula(6):

For arterioles in muscle and skin we used the occlusion ratio(6):

Immunofluorescence staining was carried out on muscle 7 μm cryo-sections. Blocking was performed with 10% normal goat serum (AbCam, Cambridge, United Kingdom) in phosphate-buffered saline for one hour. All antibodies were used according to the manufacturer’s instructions. Briefly, slides were stained with primary antibodies (AbCam, Cambridge, United Kingdom): Anti-CD4 (ab203034), Anti-CD68 (ab125212) and Anti-Collagen3 (ab7778) + Anti-Sarcomeric Alpha Actinin (ab 9465), the last two performed as double-staining. After overnight incubation, secondary antibodies (ab6939 and ab150113, AbCam, Cambridge, United Kingdom) were applied and incubated for 1 hour. Sections were counterstained with DAPI (Thermo Fisher, Schwerte, Germany) and mounted with fluorescence mounting medium.

Three random sections for each specimen and three random areas per section for analysis were selected. All immunofluorescence images were procured at 20-fold magnification and analyzed using ImageJ-Software (National Institute of Health, Bethesda, MD, USA). Collagen 3 and actinin were quantified by counting positive stained pixels in relation to total pixel number and presented as a percentage. CD4 and CD68 were measured by counting positive stained cells in relation to total cell count and also presented as a percentage.

Real time quantitative PCR

RNA was isolated from snap frozen muscle and skin samples using the RNeasy Fibrous Tissue Mini Kit (Qiagen, Hilden, Germany) and reverse-transcribed into cDNA by incubation with High-Capacity cDNA Reverse Transcription Kit with RNase Inhibitor (Thermo Fisher, Schwerte, Germany). Afterwards, the PCR reaction mix was prepared with TaqMan Universal Master Mix II, with UNG (Thermo Fisher, Schwerte, Germany) and 50 ng of cDNA per reaction. Real time qPCRs were performed with the StepOnePlus Real-Time PCR System (Thermo Fisher, Schwerte, Germany). Primers are listed in Table 1. Beta-Actin served as a house-keeping-gene. Each sample was tested in triplicate. Results were analyzed with the delta-delta Ct (ddCt) method [11], whereas mean and standard error of the mean were calculated from ddCt values. Exponentiates of these values were used for visualization as fold changes relative to untreated tissue on a log-scaled y-axis.

Microarray analysis

An amount of 100 ng of each RNA sample was hybridized to Agilent whole genome expression microarrays (G2514F, rat GE 4x44K v3, AMADID 028282, Agilent Technologies, Santa Clara, CA, USA). RNA labeling, hybridization and washing were carried out according to the manufacturer’s instructions. Images of hybridized microarrays were acquired with a DNA microarray scanner (Agilent G2505B) and features were extracted using the Agilent Feature Extraction image analysis software (AFE) version A.10.7.3.1 with default protocols and settings. The AFE algorithm generates a single intensity measure for each feature, referred to as the total gene signal, which was used for further data analyses using the GeneSpring GX software package version 14.9.1. AFE–total gene signals were normalized by the quantile method. Subsequently, data were filtered on normalized expression values. The gene expression data from our study have been deposited in the NCBI's Gene Expression Omnibus database (accession number: GSE133843).

For the identification of differentially expressed genes, only entities where at least 2 out of the total number of samples had values within the selected cut-off (50th - 100th percentile) were further included in the data analysis process. Using the GeneSpring GX software package version 14.9.1, differentially expressed genes were identified via moderated t-test (p-values < 0.05). Lastly, only mRNAs with a fold change ≥ 2.0 in the microarray analyses were further considered. Subsequent functional analysis of all genes overexpressed >4-fold in CR versus Iso muscle or skin was performed using the reactome database [12].

Statistical analysis

Data was collected in Microsoft Excel 2017 (Microsoft, Redmond, WA, USA). Statistical analysis was carried out using GraphPad Prism 8.4.0 (GraphPad Software, La Jolla, CA, USA). Groups were compared with one-way analysis of variance (ANOVA) without assuming normal distribution (Kruskal-Wallis-ANOVA) and Dunn’s post-hoc test. All values were expressed as means with 95% confidence intervals (95%CI) or standard deviation (±) in brackets for n = 5 animals per group. A p-value < 0.05 was considered significant.

Results

Postoperative outcome and clinical appearance of hindlimbs

Postoperative, regular wound healing took place in all three groups. None of the hindlimbs presented vascular thrombosis and/or anastomotic leakage. At the endpoint, hind limbs in the Iso and CsA group showed non-irritated skin with regular display of adnexa. Representative photographs of Iso and CsA hindlimbs can be seen in Fig 2A and 2B. Animals in these groups used the transplanted hindlimb regularly to both stand and walk on it. Further analysis of motoric function was not performed.

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Fig 2. Hind limbs at POD 100.

a+b) Iso and CsA group hind limbs did not present any clinical signs of inflammation or rejection. c) CR hind limb: Muscle and skin atrophy as well as hair loss is noted in comparison to native limb (background).

https://doi.org/10.1371/journal.pone.0235266.g002

Hindlimbs that underwent chronic rejection (CR group) presented morphologically normal at the start of observation and after first episodes of rejection. After several rejection episodes, slight erythema did not resolve completely even after 3 boli of cyclosporine and dexamethasone. All animals reached the 100-days endpoint, no episode of acute rejection was present at euthanasia.

At the 100-days endpoint, atrophy in muscles and skin as well as hair loss was seen in the CR group only (Fig 2C). Furthermore, CR group animals did not show any motor function in the transplanted hindlimb.

Frequency of acute skin rejection episodes

Isogenic transplanted and CsA hindlimbs did not show any clinical signs of acute skin rejection (e.g. erythema, edema) throughout the follow-up time. CR group hindlimbs underwent an average of 7 (± 3.9) acute skin rejection episodes within the 100 days of follow-up. Symptoms of acute rejection resolved mainly after 1–3 boli of cyclosporine A and dexamethasone. The slow progressive loss of skin appendages, dermal sclerosis and muscular atrophy could not be resolved.

Vasculopathy

Femoral arteries in the Iso and CsA group did not show relevant intimal hyperplasia. The average intimal proliferation in the Iso group was 12.25% (95%CI: 9.5% to 15%) and 13.35% (95%CI: 10.52% to 16.18%) in the CsA group, respectively. Distinct increase in intimal proliferation was seen in the CR group (Fig 3). On average, intimal proliferation here was 38.21% (95%CI: 23.99% to 52.43%) and thus significantly higher than in the Iso (p < 0.0001) or CsA (p = 0.0012) group (Fig 3).

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Fig 3. Intimial proliferation in femoral arteries at POD 100 in percent.

Above: Data is presented as individual data points and boxplots; boxplots show the median, 25%- and 75%-quartile; whiskers indicate the minimum and maximum. In the CR group, the femoral artery showed a significantly elevated intimal proliferation rate in comparison to Iso and CsA group, as indicated (**: p < 0.01; ****: p < 0.0001). Below: Representative images of Iso (A), CsA (B) and CR (C) group, Masson's trichrome stain at 10x. Intimal proliferation and luminal occlusion is seen in the femoral artery of the CR group (M: media; bracket indicates the CR group intima).

https://doi.org/10.1371/journal.pone.0235266.g003

Arterioles in CR muscle (mean: 62.23%, 95%CI: 55.16% to 69.3%) were significantly narrowed in comparison to Iso (mean: 34.13%, 95%CI: 27.35% to 40.91%, p < 0.0001) and CsA muscles (mean: 39.3%, 95%CI: 33.37% to 45.22%, p < 0.0005).

Arterioles in the skin also showed a trend towards differences in occlusion ratios, yet these results did not reach statistical significance (p = 0.21 and 0.12) (Fig 4).

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Fig 4. Arterioles occlusion ratios in muscle and skin at POD 100.

Data is presented as individual data points and boxplots; boxplots show the median, 25%- and 75%-quartile; whiskers indicate the minimum and maximum. CR group arterioles in muscle tissue demonstrated a significantly higher occlusion ratio in comparison to Iso and CsA groups (***: p < 0.001; ****: p < 0.0001).

https://doi.org/10.1371/journal.pone.0235266.g004

CD4- and CD68-positive cellular infiltration

The number of CD4-positive cells in muscle tissue was significantly increased in the CR group (mean: 19.97%, 95%CI: 16.02% to 23.92%) compared to Iso (mean: 10.9%, 95%CI: 7.24% to 14.56%, p = 0.0113) and CsA (mean: 11.56%, 95%CI: 7.06% to 16.05%, p = 0.0109) groups (Fig 5A).

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Fig 5. CD4 and CD68 positive stained cells in muscle tissue at POD 100.

Data is presented as individual data points and boxplots; boxplots show the median, 25%- and 75%-quartile; whiskers indicate the minimum and maximum. Number of CD4 positive cells was significantly elevated in CR group in comparison to Iso and CsA groups. Count of CD68-positive stained cells revealed significantly higher cell count in CR group in comparison to the Iso muscle (*: p < 0.05).

https://doi.org/10.1371/journal.pone.0235266.g005

The relative number of CD68 positive cells was significantly higher in CR muscle (mean: 4.64%, 95%CI: 2.46% to 6.82%) compared to muscle of Iso group (mean: 2.38%, 95%CI: 0.5% to 4.25%, p = 0.0149) but not to muscle of CsA group (mean: 2.37%, 95%CI: 1.64% to 3.11%, p = 0.2701) (Fig 5B).

Muscular fibrosis

Results from double-stained muscle tissue are displayed in Fig 6A and 6B. The relative amount of sarcomeric alpha actinin was significantly lower with 66.08% (95%CI: 63.52% to 68.65%) in the CR group compared to 74.67% (95%CI: 71.51% to 77.83%, p = 0.002) and 78.16% (95%CI: 75.17% to 81.14%, p < 0.0001) in the Iso and CsA groups, respectively. Collagen 3 was significantly elevated in the CR group (mean: 21.36%, 95%CI: 18.09% to 24.64%) compared with Iso (mean: 9.53%, 95%CI: 8.77% to 10.29%, p < 0.0001) and CsA (mean: 12.81%, 95%CI: 11.35% to 14.28%, p = 0.0032) muscle.

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Fig 6.

Amount of collagen3 (A) and sarcomeric alpha actinin (B) in muscle at POD 100. Data is presented as individual data points and boxplots; boxplots show the median, 25%- and 75%-quartile; whiskers indicate the minimum and maximum. CR muscle showed a significant increase in collagen 3, whereas sarcomeric alpha actinin is significantly decreased, compared to Iso and CsA muscle. Representative immunofluorescent images of Iso, CsA and CR muscle tissue (**: p < 0.01; ****: p < 0.0001).

https://doi.org/10.1371/journal.pone.0235266.g006

Gene expression

Real time pPCR results are shown in Fig 7A+7B. In CR muscle tissue, pro-inflammatory cytokines Interleukin 6 (IL6), Tumor necrosis factor (TNF) and Interferon gamma (IFNG) were elevated in comparison to Iso and CsA muscle although statistical significance could only be found for IFNG (p = 0.0037). Similar trends could be observed in CR skin with statistical significant upregulation of IL6 compared to Iso skin (p = 0.0075) and TNF compared to CsA skin (p = 0.0018). IFNG showed significant upregulation compared to both Iso (p = 0.0473) and CsA skin (p = 0.0324).

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Fig 7.

A+B: mRNA expression of Interleukin 6 (IL6), Tumor necrosis factor (TNF) and Interferon gamma (IFNG) in muscle (A) and in skin (B), expressed as fold changes relative to untreated tissue. Bar graphs indicate the fold change (2-ddCt) and standard error of the mean on a log-scaled y-axis. Significance was tested using dCt values. Mean and standard error of the mean were calculated from ddCt values. Although significance was not reached for all targets, results show that pro-inflammatory cytokines were highly elevated in the CR group (*: p < 0.05; **: p < 0.01).

https://doi.org/10.1371/journal.pone.0235266.g007

Exploratory microarray gene expression analysis was performed with 2 samples per group for skin and muscle. Gene expression of CR versus Iso skin and muscle were compared. Fig 8 shows the 20 genes, which had the highest fold changes in skin and muscle tissue. In both tissues, most of these genes had functional roles in the immune system including CXC ligand (CXCL) 9, CXC ligand 10 and CXC ligand 11 as players of interferon signaling.

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Fig 8. Genes with highest fold change in expression levels of CR versus Iso group upon Microarray analysis.

https://doi.org/10.1371/journal.pone.0235266.g008

Subsequent functional analysis of all genes overexpressed >4-fold in CR versus Iso muscle or skin was performed using the reactome database. Fig 9 shows the pathways most overrepresented in statistical order. Interferon signaling was amongst the highest overrepresented in both muscle and skin tissue.

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Fig 9. Reactome overrepresentation pathway analysis of genes with fold change ≥ 4.

https://doi.org/10.1371/journal.pone.0235266.g009

For further analysis, qPCR analysis for CXCL 9, 10 and 11 were performed. Results are displayed in Fig 10A and 10B. All three chemokines were significantly upregulated in CR muscle and skin in comparison with Iso- or CsA-group.

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Fig 10.

A+B: mRNA expression of CXC ligand (CXCL) 9, CXC ligand 10 and CXC ligand 11 in muscle (A) and in skin (B), expressed as fold changes relative to untreated tissue. Bar graphs indicate the fold change (2-ddCt) and standard error of the mean on a log-scaled y-axis. Significance was tested using dCt values. Mean and standard error of the mean were calculated from ddCt values. Both CR muscle (A) and skin (B) did show significant elevations of these chemokines, as indicated (*: p < 0.05; **: p < 0.01).

https://doi.org/10.1371/journal.pone.0235266.g010

Discussion

The purpose of this study was to validate the orthotopic hindlimb transplantation between the rat strains LEW and F344 concerning its feasibility and potential benefits in assessing CR in VCA.

We were able to induce and detect significant intimal proliferation in the CR group. Besides allograft-vasculopathy, we could also show the immigration of immunological relevant cells, such as CD4- and CD68-positive-cells but also their deteriorating effects on muscle tissue. In terms of gene expression, we demonstrated the up-regulation of specific inflammatory cytokines and highlighted interferon signaling.

In clinical VCA, insufficient immunosuppression is likely to be responsible for the above mentioned long-term changes [1315]. Thus far, irregular application of immunosuppression has been the only approach to imitate CR in an experimental setup. Whether or not this simulation is accurate remains debatable [16]. Clinical observations reported that patients with allogeneic transplanted faces undergo 1–3 acute skin rejection episodes in the first year after transplantation [17]. Preliminary animal studies that produced characteristics of CR in VCA used completely MHC mismatched rat-strains for the assessment of CR in VCA (e.g. Brown Norway to Lewis) and quoted 19 (±3.2) acute skin rejection episodes in a group that received irregular immunosuppression during 90 days of follow up [6]. The high number of AR episodes was able to induce changes, e.g. intimal proliferation, sclerotic skin, muscular fibrosis and up-regulation of pro-inflammatory pathways, which have been associated with CR [6]. However, in the clinical setting chronic rejection has occurred after longer time spans post transplantation with fewer acute rejection episodes, suggesting graft remodeling without presence of acute rejection. Therefore, our experimental model mimics the clinical scenario more accurately.

Due to small donor pools and low tolerance towards ischemia, MHC matching has not been given the highest priority for VCA-procedures. In contrast, in SOT, higher MHC-compatibility is linked to better graft function, longer graft survival and reduction of immunosuppressive treatments with fewer rejection episodes [18]. A recent study by Ng et al. [19] analyzed the outcomes of 20 face and upper extremity transplantations in burn patients. Although they could not demonstrate correlations between the MHC-matching status and the occurrence of AR episodes, less intensive treatment of AR episodes was necessary in patients with “better” MHC match. In contrast, Berglund et al. [20] did find a significant correlation between MHC class II mismatch and incidence of AR and development of donor-specific-antibodies (DSA) [21]. Our results, concerning the number of AR may be a hint towards a positive correlation between MHC matching status and number of AR episodes, nevertheless a direct comparison between this high MHC-compatible and a complete mismatched MHC model may bring more clarity concerning the role of MHC matching in VCA.

Clinical appearance at post-operative day 100 revealed sclerotic skin, loss of adnexae, atrophy and crusted ulcerations on the graft. These findings mirror the clinical appearance of CR in VCA [3].

Muscle fibrosis, defined as replacement of functional muscle tissue by stromal elements, has already been reported in VCA [6,16]. However, muscle tissue is rather difficult to obtain in the clinical setting. We detected decreased levels of sarcomeric alpha actinin, acting as a marker for viable muscle tissue and elevated Collagen 3 levels in the CR group, indicating that muscular fibrosis took place in CR group muscle. Inaccurate nerve adaptation with impairment of motor function and aftermath of ischemia reperfusion injury may be possible bias causing loss of muscle tissue. Compared to the Iso and CsA groups, muscle tissue in the CR group did show decreased sarcomeric alpha actinin levels in immunofluorescent images, and therefore can be considered as an independent process in the CR group.

DAPI staining exposed cellular infiltration in CR muscle. Therefore, we decided to quantify both CD4 and CD68 positive cells, as these cell types are known to be major participants in the development of tissue remodeling processes occuring during CR [22]. CD4 positive cells, mostly referred to as CD4 T helper cells, play a crucial role in the development of CR by synthesis and elaboration of a series of cytokines that evoke effector mechanisms of graft rejection [23]. CD68 positive cells represent the downstream inflammatory cascade. CD4 positive cells are one of the major producers of IFNG [24], which is known to be a potent cytokine and chemoattractant for macrophages [25]. Macrophages, which in turn are attracted into the tissue secrete cytokines and growth factors, finally leading to extracellular matrix deposition and metaplastic processes [26]. Our results confirm these propositions and underline the importance of CD4 positive cells in CR reactions. Furthermore, we confirmed preliminary studies, who could also demonstrate CD4 and CD68 positive cell immigration [6,27,28]. However, CD68 only reached significant difference between the CR and the Iso group. Yet, results from Collagen 3 and sarcomeric alpha actinin staining confirm the likely fibrotic effects of these cell lines on muscle tissue.

Graft vasculopathy appears to be the common thread when it comes to CR in VCA. Hence, it was reported in most cases of CR in VCA [29]. Intimal proliferation, leading to vascular occlusion, ischemia and finally resulting in necrosis of the graft, represent the most important findings [30]. In this study, the femoral arteries in the CR group did show significant intimal proliferation, validating that we did successfully induce processes that lead to this consistent change within the graft. In contrast, findings by Mundiger et al. [31,32], who discovered significant intimal proliferation in a nonhuman primate VCA-model, suggest that intimal proliferation may occur even in the absence of AR.

Increased occlusion ratio in smaller vessels did also confirm our findings, especially in CR muscle tissue, where we achieved highly significant results.

In a clinical setting, diagnosis of intimal proliferation poses a challenge. Novel diagnostic tools e.g. ultrasound biomicroscopy [33] may be promising non-invasive diagnostic approaches.

Cytokines play an important role in CR development. In this study IL6, TNF and IFNG showed increased levels in CR skin and muscle.

IL6 plays a critical role in mediation of cell-mediated rejection, antibody-mediated rejection and graft vasculopathy in kidney transplantation [34]. Jordan et al. have discussed the high importance of IL6 during kidney rejection and moreover, highlighted possible treatment options by using IL6 inhibitors (e.g. tocilizumab) successfully [34].

Previous works also detected elevated levels of IL6 in experimental VCA models [27,28], but to our knowledge, a specific correlation between IL6 elevation and CR has not been shown and IL6-inhibitors have not yet been applied in VCA. Besides IL6, TNF is also a potent cytokine and nuclear factor κB dependent, which finally leads to T-cell development and proliferation [35]. Elevated TNF expression could be observed in muscle of hindlimbs undergoing rejection, which was also described in previous experimental VCA rejection models [28,36]. IFNG presents another major cytokine regulating inflammatory and rejection processes [37]. In human kidneys it has been shown to be a potent regulator of chronic rejection processes [38]. Few studies highlight the role of IFNG in VCA: Friedmann et al. [28] and Datta et al. [36] demonstrated up-regulation of IFNG in acute rejection and in ischemia reperfusion injury respectively.

We demonstrated the up-regulation of IL6, TNF and IFNG, three multifunctional cytokines, in our CR model. Future research should focus on their roles as possible bio-markers or even treatment targets.

Exploratory micro array analysis detected upregulated genes, that have not been described in relation to CR in VCA before, although statistical significance of the results could not be achieved due to the low sample size (n = 2).

Ubd, encoding for the protein Ubiquitin d showed upregulation in both skin and muscle. Although Famulski et al. [39] already described a relation between Ubiquitin d and IFNG in rejected mouse kidneys, there is no further literature concerning this topic. Therefore, the role of Ubiquitin d in VCA remains to be determined.

In addition to the up-regulation of IFNG seen in qPCR, exploratory microarray analysis pointed to upregulated downstream genes, such as CXC ligand 9, 10 and 11. These ligands are mostly produced by macrophages after IFNG interaction. They showed high fold changes in skin and muscle of the CR group. For further validation, we performed qPCRs and demonstrated their significant increase in skin and muscle of the CR group. CXCL 9, 10 and 11 belong to the CXC chemokine family interacting with the chemokine receptor CXCR3, which mainly regulates immune cell migration, differentiation, and activation [40] Consistent to our findings, Krezdorn et al. recently found elevated CXCL 11 in chronically rejected facial allografts [41]. Interestingly, in their study CXCL 11 is elevated both in faces during acute and chronic rejection. Urinary CXCL 9 and 10 have both been identified as potential biomarkers of subclinical rejection in kidney transplants [42]. For this purpose, CXCL 9 was also validated in a multicenter clinical study [43]. An association of serum CXCL 9 levels with acute rejection of liver allografts has been shown [44].

Therefore, serum and tissue levels of the CXCL proteins may be an interesting biomarker in VCA-patients undergoing chronic rejection.

This study has limitations that should be considered: in contrast to acute rejection, the term chronic rejection does not impose clear diagnostic criteria but represents a multitude of changes in allografts that mediate long-term deterioration. Our approach to simulate chronic rejection, similar to that of other studies, consisted of repeated limited acute rejection episodes to ultimately result in changes similar to chronic rejection. The presence of true chronic rejection as observed clinically can therefore be challenged.

Moreover, we have to point out that animal models themselves have limitations and can never be transferred 1:1 into the clinical setting, but due to few clinical cases, these models may be a more accurate way to obtain novel hints in VCA research.

Conclusion

We were successfully able to demonstrate the hindlimb transplantation between Fischer344 and Lewis. Moreover, we were able to induce changes known to be specific for chronic rejections, e.g. intimal proliferation by permitted episodes of limited acute rejection. The closer histocompatibility of the utilized species resulted in a lower frequency of acute rejection episodes compared to reports in fully mismatched models. In microarray and subsequent qPCR analysis we identified the CXCR3 ligands CXCL 9, CXCL 10 and CXCL 11 as potential biomarkers of chronic rejection in VCA.

Therefore, this model may provide a new platform to gain further insight into chronic rejection in VCA.

Overall, further research in many fields of VCA is required to enable a standing as a reliable clinical option in reconstructive surgery.

References

  1. 1. Etra JW, Raimondi G, Brandacher G. Mechanisms of rejection in vascular composite allotransplantation. Curr Opin Organ Transplant. 2018;23(1):28–33. pmid:29189293
  2. 2. Kanitakis J, Petruzzo P, Badet L, Gazarian A, Thaunat O, Testelin S, et al. Chronic Rejection in Human Vascularized Composite Allotransplantation (Hand and Face Recipients). Transplantation [Internet]. 2016;00(00):1. Available from: http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00007890-900000000-97428
  3. 3. Morelon E, Petruzzo P, Kanitakis J. Chronic rejection in vascularized composite allotransplantation. 2018;1–10.
  4. 4. Marco ML. The Fischer-Lewis model of chronic allograft rejection—a summary. Nephrol Dial Transplant [Internet]. 2006;21(11):3082–6. Available from: pmid:16935901
  5. 5. Bedi DS, Riella L V, Tullius SG, Chandraker A. Animal models of chronic allograft injury: contributions and limitations to understanding the mechanism of long-term graft dysfunction. Transplantation [Internet]. 2010;90(9):935–44. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20703180 pmid:20703180
  6. 6. Unadkat J V., Schneeberger S, Horibe EH, Goldbach C, Solari MG, Washington KM, et al. Composite tissue vasculopathy and degeneration following multiple episodes of acute rejection in reconstructive transplantation. Am J Transplant. 2010;
  7. 7. White E, Hildemann WH, Mullen Y. Allografts in Genetically Defined Rats: Difference in Survival between Kidney and Skin. Transplantation. 1969;8:602–17. pmid:4928429
  8. 8. Sinha I, Pomahac B. Split Rejection in Vascularized Composite. 2013;461–5.
  9. 9. Molitor M, Kanatani T, Lanzetta M. Hind-Limb Transplantation in the Rat: Surgical Technique, Anaesthesia and Early Postoperative Management. 1998;
  10. 10. Sacks JM, Kuo Y-R, Horibe EK, Hautz T, Mohan K, Valerio IL, et al. An optimized dual-surgeon simultaneous orthotopic hind-limb allotransplantation model in rats. J Reconstr Microsurg. 2012 Jan;28(1):69–75. pmid:21863543
  11. 11. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods. 2001;25(4):402–8. pmid:11846609
  12. 12. Fabregat A, Jupe S, Matthews L, Sidiropoulos K, Gillespie M, Garapati P, et al. The Reactome Pathway Knowledgebase. 2018;46(November 2017):649–55.
  13. 13. Kaufman CL, Ouseph R, Blair B, Kutz JE, Tsai TM, Scheker LR, et al. Graft vasculopathy in clinical hand transplantation. Am J Transplant. 2012;12(4):1004–16. pmid:22325051
  14. 14. Kanitakis J, Karayannopoulou G, Lanzetta M, Petruzzo P. Graft vasculopathy in the skin of a human hand allograft: implications for diagnosis of rejection of vascularized composite allografts. 2014;27.
  15. 15. Petruzzo P, Kanitakis J, Testelin S, Pialat J, Buron F, Badet L, et al. Clinicopathological Findings of Chronic Rejection in a Face Grafted Patient. 2015;99(12).
  16. 16. Kueckelhaus M, Turk M, Kumamaru KK, Wo L, Bueno EM, Lian CG, et al. Transformation of Face Transplants: Volumetric and Morphologic Graft Changes Resemble Aging after Facial Allotransplantation. Am J Transplant. 2016;16(3):968–78. pmid:26639618
  17. 17. Hand Registry. The International Registry on Hand and Composite Tissue allotransplantation. www.handregistry.com. 2019;
  18. 18. Zachary AA, Leffell MS. HLA Mismatching Strategies for Solid Organ Transplantation–A Balancing Act. 2016;7(December):1–14.
  19. 19. Ng ZY, Lellouch AG, Drijkoningen T, Chang IA, Sachs DH, Cetrulo CL. Vascularized Composite Allotransplantation—An Emerging Concept for Burn Reconstruction. 2016;371–8.
  20. 20. Berglund E, Ljungdahl MA, Bogdanović D, Berglund D, Wadström J, Kowalski J, et al. Clinical significance of alloantibodies in hand transplantation–a multicenter study. 2019.
  21. 21. Sarhane KA, Tuffaha SH, Broyles JM, Ibrahim AE, Khalifian S, Baltodano P, et al. A critical analysis of rejection in vascularized composite allotransplantation: clinical, cellular and molecular aspects, current challenges, and novel concepts. 2013;4(November):1–7.
  22. 22. Mitchell RN. Graft Vascular Disease: Immune Response Meets the Vessel Wall. 2009;
  23. 23. Shirwan H, Mhoyan A, Yolcu ES, Que X, Ibrahim S. Chronic cardiac allograft rejection in a rat model disparate for one single class I MHC molecule is associated with indirect recognition by CD4 q T cells. 2003;11:179–85.
  24. 24. Thaunat O, Badet L, Dubois V, Kanitakis J, Petruzzo P, Morelon E. Immunopathology of rejection: do the rules of solid organ apply to vascularized composite allotransplantation? 2015;20(6):596–601.
  25. 25. Schoenborn JR, Wilson CBBT-A in I. Regulation of Interferon‐γ During Innate and Adaptive Immune Responses. In Academic Press; 2007. p. 41–101. Available from: http://www.sciencedirect.com/science/article/pii/S0065277607960022
  26. 26. Chih S, Chong AY, Mielniczuk LM, Bhatt DL, Beanlands RSB. Allograft Vasculopathy. 2016;68(1).
  27. 27. Bonastre J, Landín L, Bolado P, Casado-Sánchez C, López-Collazo E, Díez J. Effect of Cold Preservation on Chronic Rejection in a Rat Hindlimb Transplantation Model. Plast Reconstr Surg [Internet]. 2016;138(3):628–37. Available from: http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00006534-201609000-00017%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/27556604 pmid:27556604
  28. 28. Friedman O, Carmel N, Sela M, Jabal AA, Inbal A, Hamou M Ben, et al. Immunological and inflammatory mapping of vascularized composite allograft rejection processes in a rat model. 2017;1–20.
  29. 29. Kollar B, Pomahac B, Riella L V. Novel immunological and clinical insights in vascularized composite allotransplantation. 2019;24(1):42–8.
  30. 30. Ng ZY, Lellouch AG, Rosales IA, Geoghegan L, Gama A. Graft vasculopathy of vascularized composite allografts in humans: a literature review and retrospective study. 2019;1–8.
  31. 31. Mundinger GS, Nam AJ, Hui-Chou HG, Stanwix MG, Jones LS, Drachenberg CB, et al. Nonhuman Primate Model of Fibula Vascularized Composite Tissue Allotransplantation Demonstrates Donor-Recipient Bony Union. Plast Reconstr Surg. 2011;1193–204. pmid:21841529
  32. 32. Mundinger GS, Munivenkatappa R, Drachenberg CB, Ha JS, Vaca EE, Shipley ST, et al. Histopathology of chronic rejection in a nonhuman primate model of vascularized composite allotransplantation. Transplantation. 2013;95:1204–10. pmid:23694932
  33. 33. Kueckelhaus M, Fischer S, Seyda M, Bueno EM, Aycart MA, Alhefzi M, et al. Vascularized composite allotransplantation: Current standards and novel approaches to prevent acute rejection and chronic allograft deterioration. Transpl Int. 2015;1–8.
  34. 34. Jordan SC, Choi J, Kim I, Wu G, Toyoda M, Shin B, et al. Inflammation, Autoimmunity and Allograft Receptor Blockade. 2017;101(1).
  35. 35. Imbert Â, Abraham RT, Livolsi A, Peyron Ë. Tyrosine phosphorylation-dependent activation of NF- k B Requirement for p56 LCK and ZAP-70 protein tyrosine kinases. 2001;1515:1508–15.
  36. 36. Datta N, Devaney SG, Busuttil RW, Azari K, Kupiec-Weglinski JW. Prolonged cold ischemia time results in local and remote organ dysfunction in a murine model of vascularized composite transplantation. Am J Transplant [Internet]. 2017 Mar;38(1):42–9. Available from: http://doi.wiley.com/10.1111/ajt.14290
  37. 37. Schroder K, Hertzog PJ, Ravasi T, Hume DA. Interferon- ␥: an overview of signals, mechanisms and functions. 2004;75(February).
  38. 38. Shiu KY, Mclaughlin L, Rebollo-mesa I, Zhao J, Burton H, Douthwaite H, et al. Graft dysfunction in chronic antibody-mediated rejection correlates with B-cell-dependent indirect antidonor alloresponses and autocrine regulation of interferon-&gamma; production by Th1 cells. Kidney Int [Internet]. 2017;91(2):477–92. Available from: pmid:27988211
  39. 39. Famulski KS, Einecke G, Reeve J, Ramassar V, Allanach K, Mueller T, et al. Changes in the transcriptome in allograft rejection: IFN-γ-induced transcripts in mouse kidney allografts. Am J Transplant. 2006;6(6):1342–54. pmid:16686758
  40. 40. Tokunaga R, Zhang W, Naseem M, Puccini A, Berger MD, Soni S, et al. CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation—a target for novel cancer therapy. 2019;40–7.
  41. 41. Krezdorn N, Tasigiorgos S, Lian CG, Wells M, Wo L, Xu S, et al. Chronic rejection of human face allografts.
  42. 42. Blydt-Hansen TD, Gibson IW, Gao A, Dufault B, Ho J. Elevated urinary CXCL10-to-creatinine ratio is associated with subclinical and clinical rejection in pediatric renal transplantation. Transplantation. 2015 Apr;99(4):797–804. pmid:25222013
  43. 43. Hricik DE, Nickerson P, Formica RN, Poggio ED, Rush D, Newell KA, et al. Multicenter validation of urinary CXCL9 as a risk-stratifying biomarker for kidney transplant injury. Am J Transplant. 2013 Oct;13(10):2634–44. pmid:23968332
  44. 44. Raschzok N, Reutzel-Selke A, Schmuck RB, Morgul MH, Gauger U, Prabowo KA, et al. CD44 and CXCL9 serum protein levels predict the risk of clinically significant allograft rejection after liver transplantation. Liver Transplant Off Publ Am Assoc Study Liver Dis Int Liver Transplant Soc. 2015 Sep;21(9):1195–207.