Nupur Kohli1,2, Prasad Sawadkar1, Sonia Ho1, Vaibhav Sharma1, Martyn Snow3, Sean Powell4, Maria A Woodruff4, Lilian Hook5, Elena García-Gareta1. 1. Regenerative Biomaterials Group, RAFT Institute, Mount Vernon Hospital, Northwood, UK. 2. Department of Mechanical Engineering, Imperial College London, London, UK. 3. Royal Orthopaedic Hospital NHS Foundation Trust, Birmingham, UK. 4. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. 5. Smart Matrix Limited, Leopold Muller Building, Mount Vernon Hospital, Northwood, UK.
Abstract
Biomaterial development for clinical applications is currently on the rise. This necessitates adequate in vitro testing, where the structure and composition of biomaterials must be specifically tailored to withstand in situ repair and regeneration responses for a successful clinical outcome. The chorioallantoic membrane of chicken embryos has been previously used to study angiogenesis, a prerequisite for most tissue repair and regeneration. In this study, we report an optimised ex ovo method using a glass-cling film set-up that yields increased embryo survival rates and has an improved protocol for harvesting biomaterials. Furthermore, we used this method to examine the intrinsic angiogenic capacity of a variety of biomaterials categorised as natural, synthetic, natural/synthetic and natural/natural composites with varying porosities. We detected significant differences in biomaterials' angiogenesis with natural polymers and polymers with a high overall porosity showing a greater vascularisation compared to synthetic polymers. Therefore, our proposed ex ovo chorioallantoic membrane method can be effectively used to pre-screen biomaterials intended for clinical application.
Biomaterial development for clinical applications is currently on the rise. This necessitates adequate in vitro testing, where the structure and composition of biomaterials must be specifically tailored to withstand in situ repair and regeneration responses for a successful clinical outcome. The chorioallantoic membrane of chicken embryos has been previously used to study angiogenesis, a prerequisite for most tissue repair and regeneration. In this study, we report an optimised ex ovo method using a glass-cling film set-up that yields increased embryo survival rates and has an improved protocol for harvesting biomaterials. Furthermore, we used this method to examine the intrinsic angiogenic capacity of a variety of biomaterials categorised as natural, synthetic, natural/synthetic and natural/natural composites with varying porosities. We detected significant differences in biomaterials' angiogenesis with natural polymers and polymers with a high overall porosity showing a greater vascularisation compared to synthetic polymers. Therefore, our proposed ex ovo chorioallantoic membrane method can be effectively used to pre-screen biomaterials intended for clinical application.
Adequate in vitro biomaterial testing is vital for predicting the
success of a biomaterial in vivo. Therefore, a significant amount
of research is underway to screen biomaterials prior to pre-clinical in
vivo animal testing, which is considered a prerequisite for clinical
studies.[1,2]
It is well established that significant inconsistencies exist between predicted
outcomes of biomaterials tested in vitro and their actual
performance in vivo. A focus of current research is to establish
models that could bridge the gap between in vitro testing and
in vivo outcomes in accordance with the principles of NC3Rs
(National Committee for Reduction, Refinement and Replacement of Animals).Recently, chorioallantoic membrane (CAM) assays of the chick embryo are gaining wide
popularity as they are a cost-effective and less sentient ‘in vivo’
model for biomaterial testing.[3] The primary reason for this is that the CAM is highly vascularised,
constituting both mature vessels and capillaries, and is easily accessible for
orthotopic implantation of biomaterials without initiating an immune reaction from
the developing embryo. The gestation period of a chick embryo is 21 days, with the
CAM formed around embryonic day (ED) 4 following the fusion of the allantois and the
chorion membrane. The function of this membrane is to provide gaseous exchange
between the developing embryo and the eggshell pores, and allow ion and nutrient exchange.[4] The capillary bed of the CAM is non-innervated and has been used in the field
of tissue engineering for over four decades to study graft versus host
reactions.[5,6]In 2006, the US Food and Drug Administration (FDA) approved CAM models for
pre-clinical evaluation of products used for the treatment of chronic cutaneous wounds.[7] More recently, CAMs have been used to perform anti-angiogenic studies in
cancer research and for assessing the angiogenic behaviour of biomaterials under
development for tissue engineering applications.[8,9] CAMs can be used in an
in ovo or ex ovo form for studying
angiogenesis.[10-13]
In ovo CAM assays are very popular, but due to the lack of
standardisation, a significant amount of variation exists in the technique.
Moreover, the in ovo approach is inefficient in maintaining
sterility and often results in contamination from the eggshell dust. Recent
advancements in ex ovo culture techniques have resulted in the
development of an efficient, reproducible, and cost-effective assay that is slowly
gaining popularity for testing angiogenesis in biomaterials.[13,14]A wide variety of biomaterials with different structures and compositions are being
developed at a rapid pace to address various unmet clinical needs. Varying structure
and composition can have a large effect on function – at the extremes resulting in
successful outcomes with tissue repair and regeneration or in failed outcomes with
no tissue repair or biomaterial rejection.[15,16] Critical to the repair process
in many therapeutic applications is the restoration of blood vessels, to supply
nutrients and oxygen to the damaged tissue. The porous structure of a biomaterial
plays a key role in biomaterial revascularisation. However, the extent to which
other parameters, such as composition and mechanical properties, also affect
biomaterial revascularisation is still not clear.[16,17] Composition here refers to the
material the scaffold is composed of and not its surface roughness, crystallinity
and surface energy. Oates et al, utilised the in ovo CAM assays to
demonstrate how specific material characteristics such as porosity and pore size
could affect a biomaterial’s intrinsic angiogenic potential.[18] Other studies have also shown that changing the structure and composition of
a biomaterial directly affects its angiogenic potential, for example, crosslinked
collagen matrices with a high average pore size and a rigid structure show a
significantly higher angiogenic potential compared to non-crosslinked
polymers.[19,20] The chemical composition of smooth materials such as
Tecoflex®, which is a medical-grade aliphatic polyether polyurethane
and polyvinylchloride (PVC), has previously been shown to induce an anti-angiogenic
response, whereas rough materials such as filter paper and collagen/elastin
membranes have been shown to induce an angiogenic response. [10] These studies suggest that the extent of angiogenic response of a biomaterial
in vivo is dependent on multiple factors but mainly depends on
porosity and the composition. Therefore, it is vital to pre-screen biomaterials
under development using methods that mimic the in vivo situation as
closely as possible.While the in ovo CAM assay is popular, only a handful of studies
have used the ex ovo method for biomaterial testing [3,13,21-23] The aims of this study were
(1) to optimise the previously reported ex ovo CAM assays using a
glass-cling film set-up and (2) to report the suitability of this method in
screening biomaterials to select candidates for further development by examining the
angiogenic capacity of a range of biomaterials.
Materials and methods
Fabrication of biomaterials
Biomaterials used in this study were categorised as natural, synthetic,
natural/synthetic and natural/natural (Figure 1). These were (Table 1) (1)
three-dimensional (3D) porous collagen matrix, fabricated using 90% collagen
type I (FirstLink, Wolverhampton, UK) and 10% Minimum Essential Medium (MEM;
Invitrogen, Paisley, UK). This solution was neutralised by 5 M NaOH and
crosslinked with 0.25% glutaraldehyde; (2) 3D crosslinked porous matrix of
bovine fibrin, fabricated using 2% bovine fibrinogen in phosphate-buffered
saline (PBS) and 10% thrombin, crosslinked with 0.25% glutaraldehyde; (3) 3D
crosslinked porous matrix of elastin, fabricated from 10% (v/v) of the elastin
powder (Sigma, Dorset, UK) mixed with 1 mL of 0.5 M oxalic acid (freshly
prepared) at room temperature and crosslinked with 2.5% glutaraldehyde; (4)
electrospun poly-ɛ-caprolactone (PCL), commercially purchased from The
Electrospinning Company Ltd. (Didcot, UK) (micro-PCL); (5) electrospun PCL,
fabricated in Professor Maria A. Woodruff’s lab using the methods described in
Ristovski et al.[24] (macro-PCL); (6) silicone, purchased from BITY Mould Supply (Richardson,
TX, USA); (7) commercially available dermal replacement scaffold
Integra®, a 3D crosslinked porous matrix made of bovine tendon
collagen type I with 10%–15% chondroitin-6-sulphate from shark cartilage and a
silicone backing layer (Integra Life Science Corporation, Plainsboro, NJ, USA);
(8) electrospun PCL and 3D porous matrix of bovine fibrin (PCL/Fib) composite
scaffolds fabricated using micro-PCL and coated with fibrin; (9) electrospun PCL
and collagen (PCL/Col) scaffold fabricated using micro-PCL and coated with
neutralised collagen; (10) 3D crosslinked porous matrix made of bovine fibrin
and alginate, developed in our laboratory; (11) commercially available dermal
replacement scaffold Matriderm®, a 3D porous matrix of bovine
collagen types I, III and V, and elastin hydrolysate (MedSkin Solutions,
Billerbeck, Germany); and (12) demineralised bone matrix (DBM) clinically
available and supplied by NHS-BT (Birmingham, UK).
Figure 1.
Representative stereo microscope images of the biomaterials tested.The
stereo microscopic images show the overall structure of the biomaterials
tested, highlighting the differences in their architecture.
Macroscopically, each biomaterial appears intact and ranges in
appearance from fibrous to porous matrices, except silicone which
appears as a transparent sheet.
Table 1.
A summary of the biomaterials used in this study with their structural
composition and functional properties.
Name
Composition
Application
Development phase
Collagen
Natural scaffold3D crosslinked porous matrix of
collagen type I from rat tail tendon
Soft tissue regeneration
Pre-clinical
Fibrin
Natural scaffold3D crosslinked porous matrix of
bovine fibrin
Soft tissue regeneration
Pre-clinical
Elastin
Natural scaffold3D crosslinked porous matrix of
elastin from bovine ligament
Natural and synthetic composite scaffold3D
crosslinked porous matrix made of bovine tendon collagen
type I with 10%–15% chondroitin-6-sulphate from shark
cartilage and a silicone backing layer
Repair of full-thickness skin wounds
In clinical use
PCL/Fib
Natural and synthetic composite scaffoldElectrospun
PCL and 3D porous matrix of bovine fibrin
Soft tissue regeneration
Pre-clinical
PCL/Col
Natural and synthetic composite scaffoldElectrospun
PCL and 3D porous matrix of collagen type I from rat
tail
Soft tissue regeneration
Pre-clinical
Fibrin/Alginate
Natural composite scaffold3D crosslinked porous
matrix made of bovine fibrin and alginate
Repair of full-thickness skin wounds
Pre-clinical
Matriderm®
Natural composite scaffold3D porous matrix of bovine
collagen types I, III and V, and elastin
Repair of full-thickness skin wounds
In clinical use
Demineralised bone matrix (DBM)
Type I collagen and non-collagenous proteins
Bone regeneration
In clinical use
3d: three-dimensional; PCL: poly-ε-caprolactone.
Representative stereo microscope images of the biomaterials tested.The
stereo microscopic images show the overall structure of the biomaterials
tested, highlighting the differences in their architecture.
Macroscopically, each biomaterial appears intact and ranges in
appearance from fibrous to porous matrices, except silicone which
appears as a transparent sheet.A summary of the biomaterials used in this study with their structural
composition and functional properties.3d: three-dimensional; PCL: poly-ε-caprolactone.
Scanning electron microscopy
Biomaterials were mounted on stubs and sputter-coated with carbon coater. All
images were obtained using a secondary electron detector in a Philips XL 30
Field Emission scanning electron microscope, operated at 5 kV and an average
working distance of 10 mm.
Porosity and pore size analyses
To calculate percentage porosity and pore size range of scaffolds, scanning
electron microscopy (SEM) images were quantitatively analysed using ImageJ
bundled with 64-bit Java 1.6.0 (National Institutes of Health (NIH), USA). A
threshold frequency was adjusted to visualise all pores. An area fraction
function was used for calculating porosity, and particle analysis function was
used to determine the diameter of each pore. For porosity,
n = 3 different scaffolds were used, except for scaffolds with
porosity values previously reported in the literature (Integra®,
fibrin/alginate and DBM). The previously published values may have been
calculated using alternate methods of measuring porosity such as histology or
mercury intrusion porosimetry. For pore size range, n = 3
different SEM images from three different scaffolds were used with over 1000
pores analysed per scaffold to determine the gradient pore structure (GPS) and
the frequency of each pore diameter.
Ex ovo experimental set-up
We compared two methods in this study: previously published methods using
weighing boats for the ex ovo set-up and our proposed method
called the glass-cling film set-up. For details on the previously published
methods, refer to the study by Dohle et al.[13]A glass-cling film set-up was used for maintaining the ex ovo
cultures (Figure 2).
Pyrex glasses of 8 cm diameter were autoclaved for sterilisation. The glasses
were filled up to three-quarters with sterile water and a clean cling film layer
(pre-sterilised with 70% industrial methylated spirit (IMS) and dried) was
placed inside the glasses ensuring that the bottom of the cling film touched the
water. Next, 500 µL of antibiotic, antimycotic solution (Sigma, Dorset, UK) was
pipetted onto the cling film at a final concentration of 1 in 100. This solution
is referred to as antimicrobial solution (AM solution) in this study. Rubber
bands were used to secure the cling film on the glasses.
Figure 2.
A pictorial illustration of ex ovo cultures. A
step-by-step procedure is shown from incubating the eggs to culturing
them ex ovo. The proposed glass-cling film set-up is
shown detailing the materials required to successfully perform
shell-less cultures.
A pictorial illustration of ex ovo cultures. A
step-by-step procedure is shown from incubating the eggs to culturing
them ex ovo. The proposed glass-cling film set-up is
shown detailing the materials required to successfully perform
shell-less cultures.
Ex ovo CAM assays
The use of chick embryos in this study did not require ethical approval as per
the guidelines of the Institutional Animal Care and Use Committee (IACUC) and
the NIH (USA), which states that a chick embryo that has not reached the 14th
day of its gestation period would not experience pain and can therefore be used
for experimentation without any ethical restrictions or prior protocol
approval.[25,26] Fertile chicken eggs were purchased from local farms in
Middlesex (UK) and incubated in an egg incubator with automatic rotation for
3 days at 38°C and 45%–50% humidity. At day 3, eggs were wiped with cytosol and
cracked open using a triangle magnetic stirrer. The contents were immediately
transferred to the glass-cling film set-up described above. The yolk sac and the
embryo were identified and assessed for viability by looking for a beating
heart. To prevent contamination from the egg shells, 500 µL of antimicrobial
solution was pipetted gently onto the albumen. The glasses were then covered
with a Petri dish and transferred to the incubator and grown for a further
6 days at 38°C and 80%-90% humidity. At day 9, up to six scaffolds (roughly
5 mm × 5 mm in size) were implanted on the CAM as shown in Figure 3. Filter discs soaked in vascular
endothelial growth factor (VEGF) and PBS were used as positive and negative
controls, respectively. After placement of the scaffolds, the ex
ovo cultures were incubated for a further 3 days.
Figure 3.
An example of biomaterial implantation on the CAM. The contents of the
shell-less cultures are imaged from above, showing the embryo, the
developing CAM and the different biomaterials at day 9.
An example of biomaterial implantation on the CAM. The contents of the
shell-less cultures are imaged from above, showing the embryo, the
developing CAM and the different biomaterials at day 9.
CAM assay analyses
At the end of the testing period (ED 12), embryos were euthanised under the
British Home Office regulations by freezing at −20°C for approximately 15 min.
The CAM was then covered with 5 mL of 4% paraformaldehyde (PFA) for 15 min (to
avoid bleeding of CAM after excision). The scaffolds were carefully dissected
out with a 5-mm perimeter of the CAM excised along with the scaffold. Images
were acquired by inverting the scaffolds to observe infiltrating blood vessels
from underneath, using GT vision stereo microscope (GXM-XTL3T101) for further
analysis. After imaging, some excised scaffolds were prepared for histological
sectioning and haematoxylin and eosin staining (H&E). Scaffolds were
processed, embedded in paraffin wax and sectioned using a standard rotary
microtome into 4-µm-thick sections. After de-paraffinising using xylene and
rehydrating sections, slides were dipped in Shandon™ Gill™ Hematoxylin (Thermo
Fisher Scientific, Loughborough, UK) for 10 min, followed by a warm tap water
wash for another 10 min. Sections were then stained with Thermo Scientific™
Shandon™ Eosin Y Cytoplasmic counterstain (Thermo fisher scientific,
Loughborough, UK) for 4 min followed by dehydration, clearing, and mounting with
cover slips for imaging. Sections were imaged using 10× magnification and then
stitched using Microsoft Image Composite Editor (ICE) software.
Quantification of vascularised scaffolds
Stereo microscope images of the scaffolds were processed using the
‘vessel-analysis’ plug-in, in the ImageJ software (NIH). Images were first
automatically converted into binary images and then the vascular density
analysis function was applied. The vascular density was calculated relative to
the scaffold size since some biomaterials shrink by the end of the assay. The
software automatically calculates the vascular density normalised to the area of
the scaffold. Bifurcation points were counted in each image using ImageJ
‘counter’ function by digitally selecting the number of branch points seen in
the vasculature within a given scaffold.
Statistical analysis
GraphPad Prism 7 was used to analyse data. Three scaffolds were analysed per
sample tested, and the data are presented as mean ± standard error of the mean
(SE). A non-parametric Kruskal–Wallis test was used to compare the differences
in vascular density and bifurcation points for each biomaterial tested. A value
of p < 0.05 was considered significant.
Results
CAM assay method optimisation
In this study, we modified and optimised the ex ovo CAM assay
method previously reported in the literature using a glass-cling film
set-up.[13,23,27] To increase the survival of the embryos in ex
ovo conditions, we added AM solution on the developing CAM. Dohle
et al.[13] reported an improved method of ex ovo cultures, which
allows the survival of embryos to be over 50%. In our hands, using methods
similar those reported by Dohle et al., we observed the survival rate to be
~44%. We further optimised their protocol by the addition of antimicrobial
solution to prevent contamination and by using our proposed glass-cling film
set-up to avoid trauma to the embryo. Using our proposed method, we repeatedly
observed a significant improvement in the survival rate of embryos, which
repeatedly exceeded 60%. Therefore, we present a new approach to the traditional
ex ovo CAM assays with improved embryo survival rates.
Furthermore, for the excision of biomaterials from the CAM, we used a novel
method of, first, cryotherapy and, second, fixation of the entire CAM using 4%
PFA prior to excision of the scaffold. This prevented excessive bleeding from
the surrounding vessels (Figure
4).
Figure 4.
Data for optimised ex ovo method. (a) Survival rate of
embryos using the new method (+AM solution) was significantly greater
(p = 0.0093; unpaired t-test) than
the previously published method (–AM solution). Data are presented as
mean ± SE in each case. (b) Representative images are shown of micro-PCL
biomaterial excised without fixation (–4% PFA) and with fixation (+4%
PFA). Yellow arrows indicate the areas of excessive bleeding which are
absent in the biomaterial excised after fixation.
Data for optimised ex ovo method. (a) Survival rate of
embryos using the new method (+AM solution) was significantly greater
(p = 0.0093; unpaired t-test) than
the previously published method (–AM solution). Data are presented as
mean ± SE in each case. (b) Representative images are shown of micro-PCL
biomaterial excised without fixation (–4% PFA) and with fixation (+4%
PFA). Yellow arrows indicate the areas of excessive bleeding which are
absent in the biomaterial excised after fixation.
Biomaterial composition and structure
Using our proposed method, we examined a wide variety of biomaterials categorised
as natural, synthetic, natural/synthetic and natural/natural polymers (Figure 5 and Table 1). The SEM
images show the differences in the structure of the different biomaterials.
Within every category of biomaterial composition tested, each biomaterial
further represented a range of pore sizes referred to as the GPS (Figure 6). For example,
macro-PCL has the majority of pores over 120 µm, in addition to the pores in the
size range between 0 and 59 µm. Silicone (in the same category) showed the
majority of pores to be between 20 and 39 µm, with pores also in the range of
0–19 µm and 60–79 µm. Only 6% of the pores were over 120 µm for elastin, with a
majority in the 80–99 µm range (in the natural biomaterial category), whereas at
least 21% of the pores in collagen (in the same category) were over 120 µm, with
a majority in the range of 20–39 µm. The GPS is a consequence of the fabrication
process of natural polymers, whereas for synthetic polymers such as PCL,
electrospinning method was used, enabling a controllable pore size range. The
overall porosity is an indicator of the total void space within a biomaterial. A
variation in the overall porosity of biomaterials was observed (Table 2). The GPS,
together with overall porosity, is an important indicator of the porous
structure of the biomaterial.
Figure 5.
Representative SEM images of the biomaterials. The SEM results showed the
structural variation in porosity, pore size and the general architecture
of the scaffold.
Figure 6.
The GPS of the biomaterials tested. Doughnut-pie charts revealed a wide
range of pore sizes within the biomaterials tested as indicated by the
different colours. The lighter the colour, the greater the percentage of
larger pores. All the biomaterials tested were composed of both
micro-pores and macro-pores (pores over 100 µm).
Table 2.
Percentage porosity of the biomaterials tested.
Composition category
Scaffold
Porosity (%)
Natural
Collagen
56.8 ± 2.08
Fibrin
77.17 ± 1.19
Elastin
33.54 ± 1.59
Synthetic
Micro-PCL
80.78 ± 0.92
Macro-PCL
93.79 ± 0.94
Silicone
2.98 ± 0.15
Natural/Synthetic
Integra®
90.02 ± 1.98[28]
PCL/Fib
53.18 ± 0.56
PCL/Col
57.64 ± 0.72
Natural/Natural
Fibrin/Alginate
76.39 ± 2.89[29]
Matriderm®
90 ± 4.00
DBM
62.24 ± 4.38[30]
DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.
Representative SEM images of the biomaterials. The SEM results showed the
structural variation in porosity, pore size and the general architecture
of the scaffold.The GPS of the biomaterials tested. Doughnut-pie charts revealed a wide
range of pore sizes within the biomaterials tested as indicated by the
different colours. The lighter the colour, the greater the percentage of
larger pores. All the biomaterials tested were composed of both
micro-pores and macro-pores (pores over 100 µm).Percentage porosity of the biomaterials tested.DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.
Comparative angiogenic capacity of various biomaterials
The CAM assays showed varying degrees of blood vessel infiltration within the
different biomaterials tested (Figure 7). Blood vessels penetrate from the edges of the biomaterial
towards the centre of the biomaterial, and infiltration of vessels was noted
throughout the depth of the biomaterial. Blood vessel infiltration was seen to a
greater extent in VEGF-soaked discs (positive control) compared to PBS-soaked
discs (negative control). His-tology sections corroborated the observation that
the blood vessel infiltrated within the biomaterial (Figure 8). Blood vessels were observed in
all the scaffolds tested except silicone where no blood vessels were seen to
infiltrate the scaffold. In all the other biomaterials, vascularisation was seen
at varying extents depending on the composition and porosity of the individual
biomaterial.
Figure 7.
Representative stereo microscope and binary images of the biomaterials
tested. (a) Differences were observed in the vascular infiltration of
the different biomaterials tested as indicated by the growth of blood
vessels (in red) within these biomaterials. It must be noted that these
scaffolds were inverted, so the blood vessel infiltration is observed
from the bottom of the biomaterial. Scale bar = 1 mm. (b) The edges of
the biomaterial can be easily identified in the binary images where the
scaffold itself is shown in white over a black background with blood
vessels within the biomaterial shown in black. (c) Controls of
VEGF-soaked (+ve) and PBS-soaked (–ve) filter discs showing differences
in blood vessel infiltration, with positive control showing a
significantly higher (p = 0.02; unpaired
t-test) vascular density than the negative control.
Data are presented as mean ± SE.
Figure 8.
Representative H&E-stained images of biomaterials. The histology
images show the presence of blood vessels within the biomaterial. Yellow
arrows point to the blood vessels; CAM refers to the CAM tissue
surrounding the biomaterial and BM refers to the biomaterial.
Representative stereo microscope and binary images of the biomaterials
tested. (a) Differences were observed in the vascular infiltration of
the different biomaterials tested as indicated by the growth of blood
vessels (in red) within these biomaterials. It must be noted that these
scaffolds were inverted, so the blood vessel infiltration is observed
from the bottom of the biomaterial. Scale bar = 1 mm. (b) The edges of
the biomaterial can be easily identified in the binary images where the
scaffold itself is shown in white over a black background with blood
vessels within the biomaterial shown in black. (c) Controls of
VEGF-soaked (+ve) and PBS-soaked (–ve) filter discs showing differences
in blood vessel infiltration, with positive control showing a
significantly higher (p = 0.02; unpaired
t-test) vascular density than the negative control.
Data are presented as mean ± SE.Representative H&E-stained images of biomaterials. The histology
images show the presence of blood vessels within the biomaterial. Yellow
arrows point to the blood vessels; CAM refers to the CAM tissue
surrounding the biomaterial and BM refers to the biomaterial.The quantification of binary images allowed a more detailed comparison of the
biomaterials (Figure 9).
Fibrin, a pro-angiogenic protein,[31,32] had the highest amount of
vascularisation as seen in the stereo microscopic images, either as a monomeric
biomaterial (Fibrin) or as a composite, combined with either a natural
(Fibrin/Alginate) or a synthetic polymer (PCL/Fib). Within the natural polymers,
fibrin showed the highest amount of vascularisation and bifurcation points
compared to collagen and elastin. However, these differences were only
significant for vascular density between collagen and fibrin and not for
elastin. For synthetic polymers, both macro- and micro-PCL showed similar
vascular density; however, macro-PCL showed a greater number of bifurcation
points. This may be due to the presence of many macro-pores, which allows the
new capillaries to bifurcate more freely than in the micro-PCL scaffolds. This
difference, however, was not significant. For the natural/synthetic composite
biomaterials, PCL/Fib showed a greater vascular density compared to
Integra®, although not significantly greater. Furthermore,
PCL/Fib showed fewer bifurcation points than PCL/Col. The vessels within
fibrin-based biomaterials appeared relatively thick compared to the vessels in
other biomaterials, covering a large surface area, which could be due to the
pro-angiogenic capacity of fibrin.[31,32] Fibrin/Alginate and DBM,
within the natural/natural composite biomaterials, showed greater vascular
density and bifurcation points compared to Matriderm®, although these
differences were only significant for bifurcation points. Individual significant
differences for vascular density and bifurcation points are listed in Tables 3 and 4.
Figure 9.
Vascular density and bifurcation points for each biomaterial. (a) Data
for vascular density and bifurcation points corroborated the stereo
microscope images. Overall, fibrin-based, monomeric or composite
scaffolds showed better vascular infiltration than any other
biomaterial. (b) Bifurcation point data showed a similar trend to
vascular density data, with the exception of PCL/Fib and
Matriderm® showing fewer bifurcation points. Data are
presented as mean ± SE. Statistical significance of both graphs is
listed in Tables
3 and 4.
Table 3.
Statistically significant values for biomaterial vascular density.
Collagen vs Fibrin
*
0.0481
Collagen vs Fibrin/Alginate
*
0.0300
Fibrin vs Macro-PCL
*
0.0272
Fibrin vs Silicone
**
0.0019
Elastin vs Fibrin/Alginate
*
0.0439
Macro-PCL vs Fibrin/Alginate
*
0.0163
Micro-PCL vs Fibrin/Alginate
*
0.0330
Silicone vs PCL/Fib
**
0.0059
Silicone vs PCL/Col
**
0.0075
Silicone vs Fibrin/Alginate
***
0.0010
Silicone vs Matriderm®
**
0.0094
Silicone vs DBM
**
0.0047
Integra® vs Fibrin/Alginate
*
0.0481
DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.
p < 0.05; **p < 0.01;
***p < 0.001.
Table 4.
Statistically significant values for biomaterial bifurcation points.
Collagen vs Silicone
*
0.0146
Fibrin vs Micro-PCL
**
0.0075
Fibrin vs Silicone
**
0.0013
Fibrin vs Matriderm®
*
0.0117
Elastin vs Silicone
*
0.0363
Macro-PCL vs DBM
*
0.0314
Micro-PCL vs PCL/Col
*
0.0346
Micro-PCL vs Fibrin/Alginate
**
0.0075
Micro-PCL vs DBM
**
0.0025
Silicone vs PCL/Col
**
0.0079
Silicone vs Fibrin/Alginate
**
0.0013
Silicone vs DBM
***
0.0004
Integra® vs DBM
*
0.0381
Fibrin/Alginate vs Matriderm®
*
0.0117
Matriderm® vs DBM
**
0.0041
DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.
p < 0.05; **p < 0.01;
***p < 0.001.
Vascular density and bifurcation points for each biomaterial. (a) Data
for vascular density and bifurcation points corroborated the stereo
microscope images. Overall, fibrin-based, monomeric or composite
scaffolds showed better vascular infiltration than any other
biomaterial. (b) Bifurcation point data showed a similar trend to
vascular density data, with the exception of PCL/Fib and
Matriderm® showing fewer bifurcation points. Data are
presented as mean ± SE. Statistical significance of both graphs is
listed in Tables
3 and 4.Statistically significant values for biomaterial vascular density.DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.p < 0.05; **p < 0.01;
***p < 0.001.Statistically significant values for biomaterial bifurcation points.DBM: demineralised bone matrix; PCL: poly-ε-caprolactone.p < 0.05; **p < 0.01;
***p < 0.001.
Discussion
The ex ovo method presented in this study is to the best of our
knowledge the most optimised method for conducting CAM assays, with embryo survival
rate exceeding 60%. Although in the early 1980s a study conducted by Dunn et al.[33] reported an embryo survival rate exceeding 80%, they used a highly
sophisticated method limited by the need for significant expertise and complicated
machinery in the lab to perform the experiments. Similarly, in 1974, Auerbach et al.[34] used the Petri dish method for ex ovo cultures; however,
they reported a loss of 50% of the embryos in the first 3 days of incubation.
Contamination post ex ovo is one of the main reasons for embryonic
death in addition to trauma caused from the hard surface of the Petri dish. In our
method, we use a simple glass-cling film set-up which can be easily replicated by
other researchers, minimising trauma to the embryo. Furthermore, we used a crack
open technique without the need for opening the egg using a jigsaw or cut-off wheel
as previously reported.[21,27] A recent comprehensive study by Mangir et al.[23] also reported on a step-by-step protocol for conducting ex
ovo CAM assays to assess a biomaterial’s angiogenic response and
biocompatibility. They used antibiotics in a weighing boat set-up and observed a
survival rate of 68% by an intermediate user compared to over 80% by an experienced
user. In our study, we did not compare antibiotic solution in a weighing boat set-up
due to the trauma associated with the hard surface of the weighing boat compared to
the soft cling film. Moreover, for a beginner using their method, the survival rates
were around 25%, similar to what we observed in our labs. However, using our
glass-cling film set-up, a new user in our lab was able to achieve a survival rate
of over 60%. This method is safe, time-efficient and results in a higher survival
rate of the embryos.The second aim of this study was to further report the suitability of our optimised
ex ovo method in the screening of biomaterials to select
candidates for further development. We did this by testing the angiogenic properties
(i.e. vascular density, number of bifurcation points and presence of blood vessels
within the biomaterial) of a wide range of biomaterials intended for various hard
and soft tissue applications using our ex ovo CAM method as a
readout. The biomaterials used in this study differ in composition and structure,
and therefore, a variety of angiogenic capacities would be expected. Data presented
in this study did indeed show that a biomaterial’s composition and structure can
have a significant effect on its angiogenic capacity. Various studies have
previously suggested that the porous architecture of a biomaterial plays an
important role in its revascularisation in vivo.[35-37] It has also been shown that
the composition of the biomaterial will affect vascularisation in
vivo.[38] However, there is currently no consensus about the best combination of
biomaterial composition and porosity for successful angiogenesis in
vivo. Previous studies have utilised in ovo and
ex ovo CAM assays to examine angiogenesis and regenerative
capacities of biomaterials such as hyaluronic acid–based scaffolds, silk fibroin
scaffolds and other natural and synthetic polymers.[39-41] A study by Keshaw et al.[40] showed that using an in ovo CAM assay, a significant
increase in blood vessel infiltration was seen in collagen spheres compared to PCL
spheres. However, a major drawback of the in ovo studies is that it
does not allow a direct comparison between multiple samples as only one sample can
be placed on the CAM at a time. In our study, we were able to compare up to six
different scaffolds on the same CAM.In terms of the results observed, fibrin-based materials showed the best growth of
blood vessels. This was expected as fibrin is known to be pro-angiogenic in
nature.[31,32] PCL/Fib, however, showed a lower number of bifurcation points
compared to fibrin/alginate, as well as fibrin on its own. Bifurcation points are
reflective of the vessel sprouting phase of the angiogenesis process. During
angiogenesis, pre-existing blood supply leads to vascular sprouting that
subsequently develops into mature blood vessels. The sequential events that take
place during angiogenesis are not fully understood, but it is generally believed
that angiogenic sprouting occurs before mature vessel formation.[42] Therefore, it can be speculated that fibrin being pro-angiogenic leads to a
rapid angiogenic response within these biomaterials where mature vessel formation
was seen in all fibrin-based biomaterials as evident by the presence of thick
vessels (Figure 3). However,
perhaps due to monomeric fibrin scaffold and fibrin/alginate scaffold constituting
greater porosity than PCL/Fib, a greater number of bifurcation points were seen in
the former two scaffolds. This suggests that while the biomaterial is composed of a
pro-angiogenic protein, which encourages infiltration of blood vessels, it may not
encourage further blood vessel sprouting due to the low porosity of the biomaterial.
Our findings are consistent with previously published studies that suggest the
presence of macro-pores and higher porosity is beneficial for the growth of blood
vessels in vivo.[35,43,44] However, just having a higher
porosity is insufficient for adequate angiogenesis. For instance, macro-PCL
biomaterial used in this study constituted 87% of the pores in the macro-pore range
with an overall porosity of 93.79 ± 0.94%, yet showed poor angiogenic capacity which
could be attributed to the polymeric composition, as PCL alone does not favour the
growth of endothelial cells.[45] Similarly, Integra®, a commercially available clinical scaffold
used for the treatment of full-thickness skin wounds, constituted an overall
porosity of 90.02 ± 1.98%, yet showed limited vascularisation. This may be, again,
due to the composition of the biomaterial, particularly the glycosaminoglycan
content in Integra®, which has been previously shown to inhibit
angiogenesis.[46-48]
In vivo studies[49,50] in mice have shown that
Integra® exhibits between 3% and 17% blood vessel area, which is
similar to the results reported using the ex ovo CAM method
described in this study. Moreover, Integra® when combined with a fibrin
sealant shows vascularity of over 20%.[50] These studies corroborate the finding presented in this article with
increased angiogenesis seen in fibrin-based biomaterials.The synthetic materials, in general, showed poor angiogenesis. It may be speculated
that since synthetic materials lack the natural extracellular matrix (ECM)
molecules, they would not encourage vascularisation. Previous studies have enhanced
the ability of PCL scaffolds to encourage angiogenesis by coating with heparin and
VEGF as well as combining PCL with other polymers.[51-53] It is also well established
that synthetic biomaterials should be used in combination with the natural ECM
molecules such as collagen and fibrin in order to enhance their regenerative
potential,[54,55] with the exception of certain synthetic materials including
bioactive bioglasses, which are known to stimulate angiogenesis in
vivo.[56] From the data obtained in this study, it is difficult to warrant any further
conclusions on synthetic scaffolds as the choice of the synthetic materials used in
this study was quite limited, although both PCL and silicone are widely used for
medical applications.[57,58] Further work needs to be conducted on a wider range of
synthetic biomaterials to make further conclusions about their angiogenic
capacity.Adding a natural polymer (fibrin or collagen) to synthetic scaffolds significantly
improved their ability to undergo vascularisation, even when the porosity remains
lower than 70%.[43] Collagen and fibrin are the two key ECM molecules that have previously been
shown to favour angiogenesis.[59-61] These findings suggest that
when a biomaterial is composed of composites containing a pro-angiogenic material
like fibrin or a natural ECM molecule like collagen type I, the porosity does not
have a significant effect on the overall angiogenic capacity of the biomaterial so
long as it allows vascular infiltration.In conclusion, we utilised an optimised ex ovo CAM assay to screen a
variety of biomaterials commonly used in tissue engineering and biomedical
applications. From our results, the presented ex ovo CAM assay
would be effective for pre-screening biomaterials prior to in vivo
testing as evident by the variation observed in the angiogenic capacity of the 12
different biomaterials tested. However, further studies are required to confirm that
the results are consistent with the in vivo situation. Furthermore,
in-depth histological evaluation of a selected biomaterial after excision from the
CAM could be performed to further evaluate the angiogenic response of the
biomaterials after placement on the CAM. However, our study aimed at performing an
initial screening of a variety of biomaterials to see whether our proposed method
could detect differences between the materials tested, which our results showed it
did. The angiogenic response observed on the CAM was as expected, with fibrin-based
scaffolds showing the greatest amount of vascularisation. Furthermore, interesting
interactions were observed when the effect of angiogenesis was attributed to the
variation in porosity and composition. To the best of our knowledge, we are the
first group to test such a large number of scaffolds on a very sensitive ex
ovo angiogenesis assay. In conclusion, this study has demonstrated that
a biomaterial’s composition and porosity have a direct effect on its intrinsic
angiogenic capacity, and this effect can be evaluated using an ex
ovo CAM assay such as the one described here.
Authors: Daniel S Dohle; Susanne D Pasa; Sebastian Gustmann; Markus Laub; Josef H Wissler; Herbert P Jennissen; Nicole Dünker Journal: J Vis Exp Date: 2009-11-30 Impact factor: 1.355
Authors: Hussila Keshaw; Nikhil Thapar; Alan J Burns; Nicola Mordan; Jonathan C Knowles; Alastair Forbes; Richard M Day Journal: Acta Biomater Date: 2009-09-04 Impact factor: 8.947
Authors: Inés Moreno-Jiménez; Janos M Kanczler; Gry Hulsart-Billstrom; Stefanie Inglis; Richard O C Oreffo Journal: Tissue Eng Part C Methods Date: 2017-10-20 Impact factor: 3.056
Authors: Lubomir Medvecky; Maria Giretova; Radoslava Stulajterova; Jan Danko; Katarina Vdoviakova; Lenka Kresakova; Zdenek Zert; Eva Petrovova; Katarina Holovska; Maros Varga; Lenka Luptakova; Tibor Sopcak Journal: Materials (Basel) Date: 2021-01-17 Impact factor: 3.623