Neoatherosclerosis development following bioresorbable vascular scaffold implantation in diabetic and non-diabetic swine
Neoatherosclerosis development following bioresorbable vascular scaffold implantation in diabetic and non-diabetic swine
Nienke S. van Ditzhuijzen 0 1
Mie Kurata 0 1
Mieke van den Heuvel 0 1
Oana Sorop 0 1
Richard W. B. van Duin 0 1
Ilona Krabbendam-Peters 0 1
Jurgen Ligthart 0 1
Karen Witberg 0 1
Magdalena Murawska 0
Brett Bouma 0
Martin Villiger 0
Hector M. Garcia-Garcia 0
Patrick W. Serruys 0
Felix Zijlstra 0 1
Gijs van Soest 0 1
Dirk-Jan Duncker 0 1
Evelyn Regar 0 1
Heleen M. M. van Beusekom 0 1
0 Editor: Qingzhong Xiao, Queen Mary University of London Faculty of Medicine and Dentistry , UNITED KINGDOM
1 Department of Cardiology, Thoraxcenter, Cardiovascular Research school COEUR, Erasmus University Medical Center , Rotterdam , The Netherlands , 2 Department of Biostatistics, Erasmus University Medical Center , Rotterdam , The Netherlands , 3 Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School , Boston , Massachusetts, United States of America , 4 Cardialysis B.V., Rotterdam , The Netherlands , 5 Dept. of Cardiovascular Surgery, University Hospital Zurich , Zurich , Switzerland
Data Availability Statement: All relevant data are
within the paper and its Supporting Information
Funding: This study was supported in part by
Abbott Vascular and by the European commission
(FP7, MEDIA). The funders had no role in study
design, data collection and analysis, decision to
publish, or preparation of the manuscript.
Fifteen male swine were evaluated. Eight received streptozotocin-injection to induce DM.
After 9 months (M), 32 single BVS were implanted in epicardial arteries with a stent to artery
(S/A)-ratio of 1.1:1 under quantitative coronary angiography (QCA) and OCT guidance.
Lumen, scaffold, neointimal coverage and composition were assessed by QCA, OCT and
near-infrared spectroscopy (NIRS) pre- and/or post-procedure, at 3M and 6M. Additionally,
polarization-sensitive (PS)-OCT was performed in 7 swine at 6M. After sacrifice at 3M and
6M, histology and polymer degradation analysis were performed.
Late lumen loss was high (~60%) within the first 3M after BVS-implantation (P<0.01 FF-DM vs. FF-NDM) and stabilized between 3M and 6M (<5% change in FF-DM, ~10% in FF-NDM;
Competing interests: The current study was
supported in part by a grant from Abbott Vascular.
This does not alter our adherence to PLOS ONE
policies on sharing data and materials.
P>0.20). Neointimal coverage was highly heterogeneous in all swine (DM vs. NDM P>0.05),
with focal lipid accumulation, irregular collagen distribution and neointimal calcification.
Likewise, polymer mass loss was low (~2% at 3M, ~5% at 6M;P>0.20) and not associated with
DM or inflammation.
Scaffold coverage showed signs of neo-atherosclerosis in all FF-DM and FF-NDM swine, scaffold polymer was preserved and the vascular response to BVS was not influenced by diabetes.
Patients with diabetes mellitus (DM) are generally at risk for worse outcome after
stentimplantation than patients without DM.[
] Due to the complex and multifactorial nature of
the disease process, including metabolic abnormalities and vascular dysfunction, the vascular
response to stent-implantation is generally impaired, complicating current stenting strategies.
The everolimus-eluting bioresorbable vascular scaffold (BVS) may offer advantages. It
elutes everolimus in the first 3 to 6 months after implantation, inhibiting excessive neointimal
] and starts losing structural integrity 3 months after implantation,[
enabling vascular function restoration.[
Histology in healthy swine demonstrated that struts are covered at 28 days and resorbed
around 3 years with minimal calcification and inflammation.[
] In selected patients from
the ABSORB Cohort A (BVS 1.0) and B (BVS 1.1) trials, excellent results for treatment of
coronary artery lesions were observed.[
] However, only 3%-20% of the study population
suffered DM and no studies were performed in diabetic animals. Thus, little is known about the
effect of DM on the vascular response to BVS. DM may cause inflammation, which could
influence scaffold degradation by disregulated acid-base balance or body-temperature.
Animal models reflecting the impact of atherosclerosis and DM can be useful, as they allow
us to study vascular responses and scaffold degradation in a more complex setting.[
Moreover, swine can be rendered diabetic and in combination with an atherogenic diet they develop
atherosclerosis comparable to humans.[
] Scaffolds can be placed in coronary arteries and
in-vivo sequential intracoronary imaging can be performed by optical coherence tomography
(OCT), polarization-sensitive (PS)-OCT and near-infrared spectroscopy (NIRS). After
sacrifice, histology and gel permeation chromatography (GPC) can be performed to assess scaffold
coverage and degradation of the polymer.
We examined the mechanistic and morphological aspects of the coronary response to
BVS1.1 in DM and non-DM swine fed a fast-food diet (FF-DM, FF-NDM respectively) using
longitudinal intracoronary imaging and histology.
Materials and methods
The Erasmus MC Animal Ethics committee approved the study, performed in accordance
with the Guide for Care and Use of Laboratory Animals.[
] Fifteen male [Yorkshire x
Landrace] swine with an age of ~11 weeks and a body weight of ~30kg were included (see S1 File
2 / 18
for a detailed description). DM was induced by streptozotocin (140mg/kg iv, single dose) in 8
randomly selected male crossbred swine.[
] During streptozotocin injection, the swine were
anesthetized with intramuscular azaperone (2 mg/kg, Stressnil, Janssen, Tilburg, The
Netherlands), followed by intravenous thiopental (15 mg/kg, Nesdonal, Rhone Merieux, Lyon,
France). The swine were housed in metabolic cages and were fed two fast-food (FF) meals a
day during which they had access to food for one hour. The FF-diet is a diet containing 10%
sucrose, 15% fructose, 25% (swine) lard, 1% cholesterol and 0.7% sodiumcholate (bile salts).
The food intake was monitored for each animal separately and titrated to maintain growth at
After 9 months, all 8 FF-DM and 5 FF-NDM received single 3.0x18.0mm Absorb BVS1.1
implants in 2, and 2 FF-NDM received single Absorb BVS1.1 implants in all 3 coronary
arteries to ensure an even amount of scaffolds in FF-DM (N = 16) and FF-NDM (N = 16) (see S1
File for details about the BVS1.1). One day prior to BVS1.1-implantation the swine received
300 mg acetylsalicylic acid and a loading dose of 300 mg clopidogrel (Plavix, Sanofi). After an
overnight fast, the swine were sedated using ketamine/ midazolam (20 mg/kg / 1 mg/kg i.m.)
and atropine (1mg/30kg i.m.). After induction of anesthesia with thiopental (15 mg /kg i.v.;
Nesdonal, Aventis), the swine were connected to a ventilator that administered a mixture of
oxygen and nitrous oxide (1:2 [vol/vol]). Vascular access was obtained with an 8F vascular
sheath in the carotid artery, 10.000 IU heparin was administered initially and thereafter 5000
IU of heparin was administered every hour. Anesthesia was maintained using 0.5±2.5 vol%
isoflurane (Florence, Abbott Laboratories) as guided by hemodynamics and pain reflexes to
ensure adequate analgesia and sedation. Antibiotic prophylaxis was administered by an
intramuscular injection of 8 mL 200 mg/mL procaine-benzylpenicillin and 250 mg/mL
streptomycin. After BVS-implantation, all swine were treated with clopidogrel (75mg) and acetylsalicylic
acid (300mg) daily, until the end of the study. The latter also functions as analgesia during the
Sequential coronary imaging included QCA and OCT pre-, immediately, 3 and 6 months
(M) post-implantation and NIRS pre-, 3M and 6M post-implantation. PS-OCT was performed
in N = 3 FF-DM and N = 4 FF-NDM BVS at 6M. 3M imaging was included when pre and/or
post-implantation imaging were available and 6M imaging was included when pre- and/or
postÐand 3M imaging were available. After the 3M imaging assessment, 3 FF-DM and 2
FF-NDM were sacrificed and after the 6M imaging assessment the remaining swine were
sacrificed. After sacrifice, hearts were removed, the coronary tree dissected free and coronary
arteries containing BVS randomized to histological (3M N = 5/10, 6M N = 12/22) or GPC analysis
(3M N = 5/10, 6M N = 10/22) (Fig 1).
Fasting blood samples were obtained at baseline, 3M and 6M to measure glucose, total,
low- and high-density lipoprotein cholesterol (TC, LDL, HDL) and triglyceride levels.
Furthermore, in the FF-DM swine, glucose levels were assessed weekly by 24-hour urine samples.
When glucose appeared in undiluted urine samples, venous glucose and ketone levels were
checked via ear vein puncture and a handheld reader. When glucose levels were high (>20
mmol/L), in combination with ketone production, subcutaneous insulin (approx. 5±15 units
once daily) was given to eliminate detectable ketone production while maintaining
In-vivo QCA, (PS)-OCT and NIRS analysis
See S1 File for a detailed description of the imaging analyses. Coronary angiograms were
obtained in two orthogonal views and QCA-analysis was performed (CAAS, version 5.9.2 Pie
Medical Imaging BV). Mean (LD) and minimal lumen diameter (MLD), scaffold to artery
3 / 18
Fig 1. Study design. BVS = bioresorbable vascular scaffold, FUP = follow-up, QCA = quantitative coronary angiography, PS = Polarization
Sensitive, OCT = optical coherence tomography, NIRS = near-infrared spectroscopy, GPC = gel permeation chromatography.
(S/A) ratio, acute gain and late lumen loss (LL) were documented. Longitudinal matching of
OCT pullbacks (C7XR Fourier-Domain, St. Jude Medical) was performed as described
previously using dedicated CURAD analysis software (CURAD BV).[
OCT parameters for vascular reaction, including lumen and scaffold dimensions and
scaffold strut appearance, apposition, neointimal coverage and coverage morphology were
assessed in 1-mm intervals using off-line OCT analysis software according to previously
] In pre-implantation lesions not exceeding the penetration depth of
OCT, plaque burden (PB) was determined. Mean number of discernible struts were
documented immediately post-implantation and at follow-up. Changes in strut appearances were
categorised as preserved, open, dissolved bright, and dissolved black box.[
] Struts were
scored as covered or uncovered and the morphology of the coverageÐdefined as [SAÐLA]
]±was described as homogeneous or heterogeneous. Heterogeneous coverage was
furthermore described as lipid-laden, calcified, surrounding the struts or subluminal, or mixed
PS-OCT was performed using a prototype imaging system. PS-OCT provides a measure of
tissue birefringence, an optical tissue property that describes the interaction with polarized
light. It grossly relates to microscopic tissue organization, and enables characterization of
collagen content and smooth muscle cell (SMC) density in atherosclerotic plaques.[
4 / 18
NIRS analysis (LipiScan, InfraReDx) was used for lipid core plaque (LCP) characterization.
 Lipid-core burden index (LCBI) was documented, indicating high probability that LCP is
present. To evaluate the agreement between OCT and NIRS for detection of lipid, we
comparedÐper scaffoldÐthe LCBI score to the percentage of OCT cross-sections with
Ex-vivo degradation analysis
GPC was performed as described previously (see S1 File).[
] Degradation in our model was
studied in relation to DM, time, inflammation, scaffold recoil, OCT-derived strut appearance
and pre-implantation plaque burden.
Ex-vivo histological analysis
See S1 File for a detailed analysis. Proximal, middle and distal sections within each BVS were
obtained. Tissue sections were stained by Hematoxylin-Eosin (HE) as an overview stain,
Resorcin-Fuchsin for elastin, Alcian-Blue for proteoglycans, Oil-red-O (ORO) for lipids,
Picrosirius Red (PSR) for collagen, von Kossa for calcium, and immunohistochemistry for smooth
muscle cells (aSMA, clone 1A4, Dako, the Netherlands) and leukocytes (CD45, clone MCA
1447, AbD Serotec, UK). Polarization microscopy was performed to assess scaffold struts.
Histological analysis included neointimal healing and organization, collagen distribution,
injury and inflammation score, lipid accumulation and presence of calcium classified as
subluminal or surrounding struts (S2 Fig).
Statistical analysis (SPSS 20.0) entailed the Kolmogorov-Smirnov test for normality of the
data. Normal distribution was expressed as mean ± standard deviation. Non-normally
distributed data were presented as median with interquartile range. Comparison of in-vivo imaging
between FF-DM and FF-NDM was performed by generalized estimating equations (GEE)
modeling. GEE is a statistical method that accounts for the clustered nature of >1 scaffold
analyzed from one swine, which might result in unknown correlations among measurements
within these scaffold clusters. A linear response model was applied with an exchangeable
structure for the within-cluster correlation matrix. For repeated measures, GEE modeling was
performed using a linear response model with an autoregressive (AR(1)) structure for the
withincluster correlation matrix. Comparison of ex-vivo GPC between FF-DM and FF-NDM swine
was performed by independent samples t-test. To assess variable relations, the Spearman
correlation coefficient was computed. All statistical tests were 2 tailed, and P<0.05 was considered
Average TC, LDL and HDL were similar between FF-DM and FF-NDM (TC 18.7±5.0mmol/l
and 19.0±5.8mmol/l (P = 0.86); LDL 15.1±5.1mmol/l and 15.6±5.1mmol/l (P = 0.75); HDL
5.4±0.8mmol/l and 5.7±0.7mmol/l (P = 0.13) in FF-DM and FF-NDM respectively). In the
8 swine that received a steptozotocin-injection, DM was successfully induced. Average plasma
glucose and triglyceride levels were elevated in FF-DM compared to FF-NDM (15.0±7.8mmol/
l vs. 4.5±1.0 mmol/l (P<0.01), 1.1±0.8mmol/l vs. 0.6±0.5mmol/l (P = 0.02), respectively). All
FF-DM swine received insulin in the first 10 weeks after streptozotocin injection and 2 FF-DM
5 / 18
swine received insulin throughout the entire study based on detectable venous ketone body
In-vivo QCA, (PS)-OCT and NIRS
All 32 BVS were successfully implanted with a mean S/A-ratio of 1.1±0.1 in FF-DM and
FF-NDM (P = 0.20).
QCA findings are presented in Fig 2A + 2B and S1 Table. Pre-implantation lesions were
mild and similar between FF-DM and FF-NDM (P = 0.33). In all swine, mean LD decreased
from post-implantation to 3M (P<0.01) and remained fairly stable from 3M to 6M (P = 0.34
and P = 0.54, respectively).
Quantitative OCT findings are presented in Fig 2C±2F and S1 Table. Pre-implantation
lumen dimensions (LD, LA and MLA) were similar between FF-DM and FF-NDM (P = 0.46,
P = 0.46 and P = 0.74) and pre-implantation %PB was mild (9±2% FF-DM, 10±1% FF-NDM;
P = 0.58). Scaffolds were implanted according to protocol with an S/A ratio 1.1. Thus, LD
increased in all swine from pre- to post-implantation (P>0.10). No signs of scaffold damage
nor procedure-related injury were documented. No edge dissection or thrombus was observed
and minor tissue prolapse was documented. Mild acute ISA was observed in 2 FF-DM BVS
(mean ISA area 0.26±0.11mm2) and 1 FF-NDM BVS (mean ISA area 0.03mm2; P<0.01).
From post-implantation to 3M, mean LD, LA and MLA decreased (~60%). At 3M, all ISA
resolved, no late acquired ISA developed and all struts were covered. Restenosis, however,
hampered OCT imaging at 3M in one FF-NDM. At 6M, OCT demonstrated a substantial
neointima with a highly heterogeneous morphology, which was confirmed by histology
(S3 Fig). From 3M to 6M, mean LD, LA, MLA, SD and SA remained fairly stable in all swine
(Fig 2C±2E; S1 Table)
Changes in coverage morphology. See Table 1 for OCT findings. A heterogeneous
morphology predominated in all swine at 3M, with a relatively high prevalence of calcium (25%
(16%; 43%) in FF-DM and 16% (5%; 36%) in FF-NDM; P = 0.49). At 6M, the heterogeneous
pattern predominated and was mainly characterized by calcium (41% (33%; 66%) in FF-DM
and 59% (37%; 85%) in FF-NDM) (P = 0.82) (S1 and S2 Videos). Moreover, the accumulation
of calcium increased (P<0.05), whereas the accumulation of lipid remained moderate (FF-DM
P = 0.67, FF-NDM P = 0.97).
PS-OCT was only qualitatively analyzed and showed a heterogeneous neointima with
spots of elevated birefringence (Fig 3E and 3K). Rapid depolarization of the signal was often
observed, focally (Fig 3F2) and in areas with the appearance of lipid-rich plaque and
inflammation (Fig 3F and 3L).
See S2 Table for NIRS findings. Similar to OCT, the prevalence of lipid was relatively low in
FF-DM (9/15 BVS) and FF-NDM (3/11 BVS) at 3M with relatively low LCBI scores (3.00
(0.00; 22.50) in FF-DM, 0.00 (0.00; 3.00) in FF-NDM; P = 0.69). From 3M to 6M, the
prevalence of lipid increased numerically, in FF-DM (6/6 BVS) and FF-NDM (5/8 BVS).
Subsequently, LCBI scores slightly increased (17.50 (9.75; 26.00) in FF-DM, 6.50 (0.00; 47.25) in
FF-NDM; P = 0.49).
The association of LCBI-score and percentage of OCT cross-sections with a lipid-laden or
mixed appearance was modest at 3M (Spearman's rho 0.397; P = 0.05) but became stronger at
6M (Spearman's rho 0.666; P<0.01).
Changes in strut appearance. See S3 Table. The number of discernible struts per OCT
cross-section was similar post-implantation (8±2 in FF-DM, 8±1 in FF-NDM) and at 3M (8±1
in FF-DM, FF-NDM) and decreased to 6M (7±1 in FF-DM, 6±2 in FF-NDM). The majority
kept a preserved box appearance from 3M (79% in FF-DM, 81% in FF-NDM) to 6M (77% in
6 / 18
Fig 2. QCA and OCT analysis results. A+B) Mean lumen diameter (LD) slightly increased from pre-to post-implantation, decreased
from post-implantation to 3M and remained stable from 3M to 6M. Grey: FF-DM, black: FF-NDM. C-E) Mean lumen area (LA), lumen
diameter (LD) and minimal lumen diameter (MLD) increased slightly from pre- to post-implantation. Mean LA, LD and MLD and mean
scaffold area (SA) and scaffold diameter (SD) decreased from post-implantation to 3M and mean LA, LD, MLD, SA, SD and coverage
area (CA) remained stable from 3M to 6M. F) Proximal and distal reference LA slightly decrease from pre- to post-implantation and
stabilized from post-implantation to 3M and 6M.
7 / 18
Normally distributed data are presented as mean±SD, non-normally distributed data as median (interquartile range). FF-DM = fast-food fed diabetic swine,
FF-NDM = fast-food fed non-diabetic swine, OCT = optical coherence tomography, 3M = 3 months follow-up, 6M = 6 months follow-up.
*P-value for the comparison between FF-DM and FF-NDM swine,
³P-value for the difference between 3M and 6M.
FF-DM, 68% in FF-NDM). Interestingly, a substantial amount of struts appeared as dissolved
black box at 3M (20% in FF-DM, 18% in FF-NDM) and 6M (22% in FF-DM, 31% in
See Table 2. The initial Mn, Mw and PDI were 109.55 KDa, 229.68 KDa and 2.10 respectively.
The initial mass was 8.53±0.08mg in FF-DM and 8.50±0.07mg in FF-NDM. Up to 6M, Mn,
Mw and PDI decreased and mass loss was low: 5.5±1.9% in FF-DM and 4.3±1.4% in FF-NDM
(P = 0.28).
There was no relationship between scaffold degradation and DM (P>0.10), or with
OCTderived pre-implantation %PB (P = 0.22), scaffold recoil (P = 0.59), preserved (P = 0.92), open
(P = 0.45) or dissolved black box appearance (P = 0.99) at 3M, or at 6M (P = 0.29, P = 0.73
P = 0.27, P = 0.36 and P = 0.64 respectively).
See Table 2. All struts were covered by neointima 3M post-implantation (FF-DM 0.76
±0.1mm, FF-NDM 0.62±0.1mm; P>0.10). Neointimal organization score was higher at 3M
than 6M (P<0.01) in FF-DM and FF-NDM (P = 0.14). Injury was moderate. Injury scores
were 1.30±0.42 and 1.10±0.14 (P = 0.58) at 3M and 1.10±0.13 and 1.04±0.33 (P = 0.74) at 6M
in FF-DM and FF-NDM, respectively.
Collagen poor regions were observed within the neointima. They contained leukocytes,
were evident at sites with extracellular lipids and often coincided with calcifications (Fig 4).
Collagen poor but SMC positive tissue generally contained lipid accumulation (P>0.10 for
FF-DM vs. FF-NDM) (Fig 4G±4I). Mainly intra- and extracellular lipid deposits with few
cholesterol crystals were observed and advanced necrotic cores were absent.
Neointimal and peristrut calcifications were observed in FF-DM and FF-NDM (P = 0.04)
at 3M and 6M (Fig 3, Table 2), with varying size, shape and location between animals,
suggesting an inter-animal difference. From 3M to 6M, lipid-accumulation remained (Fig 5) and
8 / 18
Fig 3. (PS)-OCT and corresponding histology at 6M. OCT demonstrated the development of a highly heterogeneous neointima with lipid and calcium
accumulation in FF-DM and FF-NDM swine at 6 months (A, L), which was confirmed by histology (D, I, O, S; Oil-red-O). Phase retardation corresponding
to tissue birefringence (B, M) and depolarization (G, Q) imaged by PS-OCT, demonstrated enhanced birefringence and depolarization (C) in an SMC-poor
area (E; aSMA) with inflammation (F; CD45). Furthermore, PS-OCT demonstrated focal depolarization (H) in a collagen-poor area with loss of structure
and evidence of early necrosis (J, K; HE, PSR). N shows coarse-grained high birefringence in an area with strongly circumferentially organized intimal
SMCs (P; RF); lipid-rich, SMC-poor tissue (T; SMA) exhibits a more finely speckled heterogeneity, associated with a rapid loss of polarization degree (R).
Asterisk (*) indicates guidewire artefact, arrowheads lipid, white lines calcium.
calcifications were observed more frequently subluminally (in 3/5 FF-DM BVS, 6/7 FF-NDM
At 6M, signs of myxoid degeneration with lipid accumulation were present (S4 Fig). In 3
BVS (N = 1 FF-DM, N = 2 FF-NDM) thrombus remnants were observed at 6M but not at 3M.
Furthermore, the polymeric scaffold struts demonstrated birefringence with polarized light,
confirming preservation of scaffold struts in all swine.
The present study describes the coronary artery response to BVS1.1 in FF-DM and
FFNDM swine. A remarkable neotintima burden with a highly heterogeneous appearance was
observed in all swine, with lipid accumulation and calcification, indicative for the formation of
9 / 18
GPC = gel permeation chromatography, Mn = number average molecular weight, Mw = weight average molecular weight, PDI = polydispersity index [Mn/
Mw]. Percentage (%) mass loss = [(Initial mass prior to scaffold implantation [T = 0] (mg)±Found mass (mg)) / Initial mass [T = 0] (mg) x 100].
*P-value for the comparison between FF-DM and FF-NDM swine. Footnotes and the remaining abbreviations are as listed in Table 1.
neoatherosclerosis. The scaffold polymer was preserved up to 6M, independent of
inflammation or the presence of DM in FF-swine.
Neoatherosclerosis development following BVS-implantation
Interestingly, considerable neointima formation with complete strut coverage was observed in
all swine, independent of the presence of DM. This is relevant, as uncovered struts have been
associated with adverse events like stent thrombosis.[
] However, the neointima was highly
heterogeneous in all swine, with substantial lipid- and calcium accumulation and lack of
intimal organization at 6M, consistent with neoatherosclerosis formation. This is of note, as
previously published experimental studies in healthy swine and clinical studies in selected patients
demonstrated a favorable vascular response with rather homogeneous coverage following
7, 10, 24
] There are three main differences between our study and the
previously published experimental study by Onuma et al., namely 1: the version of the BVS; 2: the
species in which the majority of the study was performed (miniswine) and 3: the presence of
diabetes and hypercholesterolemia; In addition, we expect that, given the size of the animals in
our study, our stents were implanted more distally.
First, in the histological evaluation of the first-generation BVS, revision 1.0, implanted in
the coronary arteries of healthy Yorkshire x Landrace or Yucatan miniswine of unspecified
age, minor calcifications were observed around the scaffold struts in the majority of BVS as
early as 28 days post-implantation.[
] After an initial increase, the presence of calcifications
decreased to 17.2% between two and four years post-implantation. In our study, implantation
10 / 18
Fig 4. Irregular collagen distribution in the neointima. Collagen poor areas in peri-strut regions and neointima (A, D; Picrosirius Red) often
demonstrated lipid accumulation (B, E; Oil-red-O), and leucocytes (C, F; CD45). Additionally, G (Picrosirius Red) demonstrates a patchy collagen poor
lesion with lipid accumulation (H; Oil-red-O) and smooth muscle cells (I; aSMA). *: strut void, L: lumen.
of BVS 1.1 demonstrated calcifications around the majority of scaffold struts at 3M, which
included calcifications of the luminal border at 6M in both FF-DM and FF-NDM swine.
Second, the majority of swine coronary arteries studied by Onuma et al. were from Yucatan
miniswine, whereas we studied the coronary arteries of Yorkshire x Landrace swine with a similar
race as the 28-day Onuma data, showing calcifications as early as 28 days. Although strain
differences have not been described before as cause of a different vascular response to the
polymer, this cannot be excluded as a cause for the different vascular response observed between
the study by Onuma et al. and our study. The final main difference between the study by
Onuma et al. and our study is the presence of hypercholesterolemia in all animals, and of DM
in a subgroup, where especially the former seems to drive the response for the vascular
response. Hypercholesterolemia is indeed detrimental to the endothelium, diminishing the
11 / 18
Fig 5. Corresponding QCA, OCT, NIRS and histology at 6M. QCA (A) demonstrates the scaffolded region (white block), with the yellow line
indicating the region corresponding to the NIRS, (PS)-OCT and histology images (B-G). The NIRS chemogram demonstrates presence of lipid (B),
also observed by OCT (D; arrowheads) that additionally demonstrates the presence of calcium (white circles). The PS-OCT phase retardation image
demonstrates a finely grained pattern (E) consistent with lipid-rich neointima (F; Oil-Red-O) and active inflammation (G; CD45).
vascular wall barrier-function against excessive uptake of circulating lipids, resulting in
] In humans, calcification is accelerated by young age and
mechanical stress and this might explain why we found such a high incidence in our swine
model. While it is not completely clear to what extent our observations can be extrapolated
to the clinical setting, our observation of considerable neoatherosclerosis formation under diet
induced dyslipidemia might point at neoatherosclerosis as an important contributor to BVS
failure at long term, similar to that described for DES and BMS.[
28, 29, 30
] It might also be in
line with individual observations of asyptomatic neoplaque rupture after BVS-implantation
and recently reported cases of BVS thrombosis.[
10, 17, 24, 31
Furthermore interesting is the fact that neoatherosclerosis development was observed in all
swine, independent of the presence of DM. Kereiakes et al. demonstrated that diabetic patients
who were receiving insulin treatment had a worse outcome after stent-implantation compared
12 / 18
to those who were not receiving insulin. In our study we did not observe a correlation
between the amount of insulin given and the development of neoatherosclerosis. Of note, the
swine receiving the most insulin, were not the swine that developed the worst
neoatherosclerosis. Even in the two swine that received insulin throughout the entire study, who also received
the greatest amount of food to ensure a similar growth pattern in all swine, neoatherosclerosis
development was similar compared to all other FF-DM and FF-NDM swine. Factors such as
duration of DM and hypertension may attribute to the severity of atherosclerotic disease and
may therefore attribute to a more human-like evaluation of the coronary vascular healing
response after BVS-implantation. Moreover, hypertension, not present in the current study,
has been associated with adverse atherosclerosis-related events in DM patients. Future
studies assessing the coronary healing response after stent or scaffold-implantation in swine
should consider using mature swine, and include risk factors such as hypertension to
accurately evaluate the coronary vascular healing response to stent-implantation in a model that
mimics human coronary atherosclerotic disease.
This study presents the first data of neoatheroasclerotic tissue organization characterized
with PS-OCT. We observed enhanced tissue birefringence in areas with SMC alignment in
the neointima, as well as in areas with inflammation. Macrophage recruitment in
atherosclerosis has been associated with formation of cholesterol crystals , which are highly
birefringent . The contrast provided by PS-OCT, consisting of birefringence and depolarization,
reflects tissue organization, which has an impact on structural plaque stability. A fuller
understanding of the features highlighted by PS-OCT may complete our comprehension of
neoatherogenesis and its impact on clinical sequelae.
Preserved scaffold integrity
GPC and histology demonstrated preserved scaffold integrity up to 6M after
BVS1.1-implantation in all swine, which was not affected by DM or inflammation. This is expected as the
scaffold starts losing structural integrity at 3±6 months, and scaffold resorption is driven by
hydration, rather than inflammation. Although, theoretically, other factors associated with
inflammation such as deregulated acid-base balance or body-temperature could influence
scaffold degradation, this was not seen in the present study.[
Interestingly, OCT did demonstrate morphological changes at individual strut levels despite
preserved scaffold integrity. The OCT classification of strut appearances was developed in the
ABSORB Cohort A trial to characterize the optical changes of the struts during the process of
] However, preclinical evaluation of BVS1.0 demonstrated full degradation of
the scaffold struts by GPC, while OCT demonstrated the presence of so-called `preserved black
boxes' within the vascular wall.[
] As the OCT signal is arising from the interface of structures
with different optical indices, OCT reflects changes of tissue surrounding the struts, rather
than changes in strut morphology. This should be kept in mind when interpreting in-vivo
clinical and preclinical OCT observations in BVS.
Sacrifice was planned for 1/3 of the swine at 3M, and thus the serial BL, 3M and 6M sample
size was relatively small. The aim of our study, however, was to longitudinally examine
mechanistic and morphological aspects of the coronary response to BVS1.1 in FF-DM and FF-NDM
swine. To accurately assess the mechanistic aspectsÐe.g. scaffold resorptionÐat various time
points, additional planned sacrifice at 3M was beneficial. Furthermore, atherosclerotic lesions
that developed in FF-DM and FF-NDM swine before scaffold-implantation were relatively
small. However, distribution and size of the lesions were similar in both groups, allowing for
13 / 18
adequate comparison of vascular responses following BVS-implantation between FF-DM and
Scaffold coverage showed signs of neo-atherosclerosis in all FF-DM and FF-NDM swine,
scaffold polymer was preserved and the vascular response to BVS was not influenced by diabetes.
S1 Fig. Qualitative OCT analysis of the scaffold coverage. In the top OCT cross-sections of a
homogeneous, heterogeneous, lipid-laden, calcified and mixed appearance of the coverage are
depicted and on the bottom the magnifications. The `open' stars indicate the black boxes of the
scaffold struts at follow-up. The asterix ( ) indicates the guide wire artifact. The arrowheads
indicate the region containing lipid and the drawn white lines indicate calcified regions.
S2 Fig. Schematic representation of histological regions of interest. Within the neointima, 2
specific regions were discerned: para-strut neointima, defined as in contact with the struts,
and subluminal: located near the lumen.
S3 Fig. Restenosis at 3M. Restenosis of a BVS implanted in an FF-NDM swine at 3M.
Coronary angiography post-implantation (A) and at 3M (B) demonstrates a significant lumen loss,
with a percentage diameter stenosis (%DS) of 70% which persisted at 6M, (C). At 3M OCT
was not performed as the lesion was considered too tight to allow passage of an OCT catheter
without risk of causing ischemia and all the potential sequelae thereof. Therefore OCT was
restricted to 6M follow-up, the scheduled sacrifice time point. OCT demonstrated a highly
heterogeneous neointima (D), which is confirmed by histology demonstrating a large
neointimal burden with calcification subluminal and surrounding the struts (E H&E + F, ORO).
D Lesion = Diameter of the lesion, Ref D Lesion = Reference diameter.
S4 Fig. Organized and non-organized luminal layers in the neointima. The vessels with
well-organized neointimal layers (two arrows in A-D) showed dense elastic fibers (B) with 3
or more layers of αSMA positive cells (C) without lipid accumulation (D). The unorganized
neointima showed myxoid degeneration (double arrow in E-H) with disarray and low density
of αSMA positive cells (G). In the same area, lipid accumulation was clearly seen (H). αSMA:
alpha smooth muscle cell actin, L: lumen, A-D: 3 months DM, E-H: 6 months non-DM, A and
E: H&E, B and F: Resorcin-Fuchsin, C and G: αSMA, E and H: Oil red O, Scale bar in A -H:
100 μm, insert bar of A and E: 1000 μm.
S1 Table. Quantitative QCA and OCT analysis results. Normally distributed data are
presented as mean ± SD, non-normally distributed data as median (interquartile range).
FF-DM = fast-food fed diabetic swine, FF-NDM = fast-food fed non-diabetic swine,
QCA = Quantitative coronary angiography, OCT = optical coherence tomography,
BVS = bioresorbable vascular scaffold, post = post-implantation, 3M = 3 months follow-up,
6M = 6 months follow-up. P-value for the comparison between FF-DM and FF-NDM swine,
²P-value for the difference between post-procedure and 3M, ³P-value for the difference
between 3M and 6M.
14 / 18
S2 Table. NIRS analysis results. NIRS = Near-infrared spectroscopy, LCBI = lipid core
burden index. §P-value for the difference between pre-procedure and 3M. Remaining footnotes
and abbreviations are as listed in Table 1.
S3 Table. OCT strut appearance. Percentages are calculated as mean from the total (100%).
Footnotes and abbreviations are as listed in Table 1.
S1 Video. 6M OCT pullback of a BVS implanted in a FF-DM swine. OCT imaging at 6M in
a FF-DM swine demonstrates a highly heterogeneous appearance of the coverage. The red line
in the longitudinal view of the OCT pullback (middle panel) corresponds to the location of the
OCT catheter in the 2D pullback (left panel) and 3D pullback (right panel). The asterisk ( )
indicates the guidewire artefact, the green line delineates the contour of the lumen area, the
stars indicate scaffold struts, the arrowheads lipid, the white circles calcium and the red circle
indicates the marker of the scaffold. Word did not find any entries for your table of contents.
S2 Video. 6M OCT pullback of BVS in an FF-NDM swine. OCT imaging at 6M in an
FF-NDM swine demonstrates a highly heterogeneous appearance of the coverage. The red line
in the longitudinal view of the OCT pullback (middle panel) corresponds to the location of the
OCT catheter in the 2D pullback (left panel) and 3D pullback (right panel). The green line
delineates the contour of the lumen area, the stars indicate scaffold struts, the arrowheads lipid
and the white circles indicate calcium.
S1 File. Supporting material and methods. Supporting information accompanying the
manuscript titled: ªNeoatherosclerosis development following bioresorbable vascular scaffold
implantation in diabetic and non-diabetic swine coronary arteriesº.
We dedicate this work to Prof. Dr. W.J. van der Giessen, who helped to design and conduct
this preclinical study, but passed away before its completion.
Conceptualization: Nienke S. van Ditzhuijzen, Mieke van den Heuvel, Oana Sorop, Evelyn
Data curation: Nienke S. van Ditzhuijzen, Oana Sorop, Jurgen Ligthart, Karen Witberg, Gijs
van Soest, Dirk-Jan Duncker, Evelyn Regar, Heleen M. M. van Beusekom.
Formal analysis: Nienke S. van Ditzhuijzen, Mie Kurata, Magdalena Murawska, Brett Bouma,
Martin Villiger, Gijs van Soest, Evelyn Regar.
Funding acquisition: Dirk-Jan Duncker, Heleen M. M. van Beusekom.
Investigation: Nienke S. van Ditzhuijzen, Mie Kurata, Mieke van den Heuvel, Evelyn Regar,
Heleen M. M. van Beusekom.
Methodology: Nienke S. van Ditzhuijzen, Dirk-Jan Duncker, Evelyn Regar, Heleen M. M. van
15 / 18
Project administration: Richard W. B. van Duin, Ilona Krabbendam-Peters, Heleen M. M.
Supervision: Dirk-Jan Duncker, Evelyn Regar.
Writing ± original draft: Nienke S. van Ditzhuijzen.
Writing ± review & editing: Nienke S. van Ditzhuijzen, Mie Kurata, Mieke van den Heuvel,
Oana Sorop, Richard W. B. van Duin, Ilona Krabbendam-Peters, Jurgen Ligthart, Karen
Witberg, Magdalena Murawska, Brett Bouma, Martin Villiger, Hector M. Garcia-Garcia,
Patrick W. Serruys, Felix Zijlstra, Gijs van Soest, Dirk-Jan Duncker, Evelyn Regar, Heleen
M. M. van Beusekom.
16 / 18
17 / 18
1. Scheen AJ , Warzee F , Legrand VM . Drug-eluting stents: meta-analysis in diabetic patients . Eur Heart J . 2004 ; 25 ( 23 ): 2167 ± 8; author reply 8±9 . Epub 2004/12/02. https://doi.org/10.1016/j.ehj. 2004 . 07 .041 PMID: 15571834 .
2. Berry C , Tardif JC , Bourassa MG . Coronary heart disease in patients with diabetes: part I: recent advances in prevention and noninvasive management . J Am Coll Cardiol . 2007 ; 49 ( 6 ): 631 ± 42 . Epub 2007/02/13. https://doi.org/10.1016/j.jacc. 2006 . 09 .046 PMID: 17291928 .
3. Creager MA , Luscher TF , Cosentino F , Beckman JA . Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: Part I . Circulation . 2003 ; 108 ( 12 ): 1527 ± 32 . https://doi.org/ 10.1161/01.CIR. 0000091257 .27563.32 PMID: 14504252 .
4. Qin SY , Zhou Y , Jiang HX , Hu BL , Tao L , Xie MZ . The association of diabetes mellitus with clinical outcomes after coronary stenting: a meta-analysis . PloS one . 2013 ; 8 ( 9 ): e72710 . Epub 2013 /09/26. https://doi.org/10.1371/journal.pone.0072710 PMID: 24066025 .
5. Oberhauser JP , Hossainy S , Rapoza RJ . Design principles and performance of bioresorbable polymeric vascular scaffolds . EuroIntervention . 2009 ; 5 Suppl F: F15 ± 22 . Epub 2009/12/15. https://doi.org/10. 4244/EIJV5IFA3 PMID: 22100671 .
6. Gomez-Lara J , Brugaletta S , Diletti R , Garg S , Onuma Y , Gogas BD , et al. A comparative assessment by optical coherence tomography of the performance of the first and second generation of the everolimus-eluting bioresorbable vascular scaffolds . Eur Heart J . 2011 ; 32 ( 3 ): 294 ± 304 . Epub 2010/12/03. https://doi.org/10.1093/eurheartj/ehq458 PMID: 21123276 .
7. Onuma Y , Serruys PW , Perkins LE , Okamura T , Gonzalo N , Garcia-Garcia HM , et al. Intracoronary optical coherence tomography and histology at 1 month and 2, 3, and 4 years after implantation of everolimus-eluting bioresorbable vascular scaffolds in a porcine coronary artery model: an attempt to decipher the human optical coherence tomography images in the ABSORB trial . Circulation . 2010 ; 122 ( 22 ): 2288 ± 300 . Epub 2010/10/27. https://doi.org/10.1161/CIRCULATIONAHA.109.921528 PMID: 20975003 .
8. Otsuka F , Pacheco E , Perkins LE , Lane JP , Wang Q , Kamberi M , et al. Long-term safety of an everolimus-eluting bioresorbable vascular scaffold and the cobalt-chromium XIENCE V stent in a porcine coronary artery model . Circulation Cardiovascular interventions . 2014 ; 7 ( 3 ): 330 ± 42 . https://doi.org/10.1161/ CIRCINTERVENTIONS.113.000990 PMID: 24895447 .
9. Serruys PW , Ormiston JA , Onuma Y , Regar E , Gonzalo N , Garcia-Garcia HM , et al. A bioabsorbable everolimus-eluting coronary stent system (ABSORB): 2-year outcomes and results from multiple imaging methods . Lancet . 2009 ; 373 ( 9667 ): 897 ± 910 . Epub 2009/03/17. https://doi.org/10.1016/S0140- 6736 ( 09 ) 60325 - 1 PMID: 19286089 .
10. Serruys PW , Onuma Y , Garcia-Garcia HM , Muramatsu T , van Geuns RJ , de Bruyne B , et al. Dynamics of vessel wall changes following the implantation of the Absorb everolimus-eluting bioresorbable vascular scaffold: a multi-imaging modality study at 6, 12, 24 and 36 months . EuroIntervention . 2013 . https:// doi.org/10.4244/EIJV9I11A217 PMID: 24291783 .
11. Liu L , Li S , Garreau H , Vert M. Selective enzymatic degradations of poly(L-lactide) and poly(epsiloncaprolactone) blend films . Biomacromolecules . 2000 ; 1 ( 3 ): 350 ± 9 . Epub 2001/11/17. PMID: 11710123 .
12. Koopmans SJ , Mroz Z , Dekker R , Corbijn H , Ackermans M , Sauerwein H . Association of insulin resistance with hyperglycemia in streptozotocin-diabetic pigs: effects of metformin at isoenergetic feeding in a type 2-like diabetic pig model . Metabolism . 2006 ; 55 ( 7 ): 960 ± 71 . Epub 2006/06/21. https://doi.org/10. 1016/j.metabol. 2006 . 03 .004 PMID: 16784971 .
13. Dixon JL , Stoops JD , Parker JL , Laughlin MH , Weisman GA , Sturek M. Dyslipidemia and vascular dysfunction in diabetic pigs fed an atherogenic diet . Arterioscler Thromb Vasc Biol . 1999 ; 19 ( 12 ): 2981 ± 92 . Epub 1999/12/11. PMID: 10591679 .
14. Guide for the Care and Use of Laboratory Animals, 8th edition . Washington, DC: National Academies Press (US); 2011 .
15. van den Heuvel M , Sorop O , Koopmans SJ , Dekker R , de Vries R, van Beusekom HM , et al. Coronary microvascular dysfunction in a porcine model of early atherosclerosis and diabetes . American journal of physiology . 2012 ; 302 ( 1 ):H85± 94 . Epub 2011/10/11. https://doi.org/10.1152/ajpheart.00311. 2011 PMID: 21984550 .
16. van Ditzhuijzen NS , Karanasos A , Bruining N , van den Heuvel M , Sorop O , Ligthart J , et al. The impact of Fourier-Domain optical coherence tomography catheter induced motion artefacts on quantitative measurements of a PLLA-based bioresorbable scaffold . The international journal of cardiovascular imaging . 2014 ; 30 ( 6 ): 1013 ± 26 . Epub 2014/05/17. https://doi.org/10.1007/s10554-014-0447-3 PMID: 24831994 .
17. Serruys PW , Onuma Y , Ormiston JA , de Bruyne B , Regar E , Dudek D , et al. Evaluation of the second generation of a bioresorbable everolimus drug-eluting vascular scaffold for treatment of de novo coronary artery stenosis: six-month clinical and imaging outcomes . Circulation . 2010 ; 122 ( 22 ): 2301 ± 12 . Epub 2010/11/26. https://doi.org/10.1161/CIRCULATIONAHA.110.970772 PMID: 21098436 .
18. Ormiston JA , Serruys PW , Regar E , Dudek D , Thuesen L , Webster MW , et al. A bioabsorbable everolimus-eluting coronary stent system for patients with single de-novo coronary artery lesions (ABSORB): a prospective open-label trial . Lancet . 2008 ; 371 ( 9616 ): 899 ± 907 . Epub 2008/03/18. https://doi.org/10. 1016/S0140- 6736 ( 08 ) 60415 - 8 PMID: 18342684 .
19. Kang SJ , Mintz GS , Akasaka T , Park DW , Lee JY , Kim WJ , et al. Optical coherence tomographic analysis of in-stent neoatherosclerosis after drug-eluting stent implantation . Circulation . 2011 ; 123 ( 25 ): 2954 ± 63 . Epub 2011/06/08. https://doi.org/10.1161/CIRCULATIONAHA.110.988436 PMID: 21646494 .
20. Nadkarni SK , Pierce MC , Park BH , de Boer JF , Whittaker P , Bouma BE , et al. Measurement of collagen and smooth muscle cell content in atherosclerotic plaques using polarization-sensitive optical coherence tomography . J Am Coll Cardiol . 2007 ; 49 ( 13 ): 1474 ± 81 . Epub 2007/04/03. https://doi.org/10.1016/ j.jacc. 2006 . 11 .040 PMID: 17397678 .
Waxman S , Dixon SR , L'Allier P , Moses JW , Petersen JL , Cutlip D , et al. In vivo validation of a catheterbased near-infrared spectroscopy system for detection of lipid core coronary plaques: initial results of the SPECTACL study . JACC Cardiovasc Imaging . 2009 ; 2 ( 7 ): 858 ± 68 . Epub 2009/07/18. https://doi.
org/10 .1016/j.jcmg. 2009 . 05 .001 PMID: 19608137 .
22. van Soest G , Regar E , Goderie TP , Gonzalo N , Koljenovic S , van Leenders GJ , et al. Pitfalls in plaque characterization by OCT: image artifacts in native coronary arteries . JACC Cardiovasc Imaging . 2011 ; 4(7):810±3 . https://doi.org/10.1016/j.jcmg. 2011 . 01 .022 PMID: 21757174 .
23. Finn AV , Joner M , Nakazawa G , Kolodgie F , Newell J , John MC , et al. Pathological correlates of late drug-eluting stent thrombosis: strut coverage as a marker of endothelialization . Circulation . 2007 ; 115 ( 18 ): 2435 ± 41 . Epub 2007/04/18. https://doi.org/10.1161/CIRCULATIONAHA.107.693739 PMID: 17438147 .
24. Karanasos A , Simsek C , Gnanadesigan M , van Ditzhuijzen NS , Freire R , Dijkstra J , et al. OCT Assessment of the Long-Term Vascular Healing Response 5 Years After Everolimus-Eluting Bioresorbable Vascular Scaffold . J Am Coll Cardiol . 2014 ; 64 ( 22 ): 2343 ± 56 . Epub 2014/12/04. https://doi.org/10.1016/ j.jacc. 2014 . 09 .029 PMID: 25465421 .
25. Ross R. AtherosclerosisÐan inflammatory disease . N Engl J Med . 1999 ; 340 ( 2 ): 115 ± 26 . Epub 1999/ 01/14. https://doi.org/10.1056/NEJM199901143400207 PMID: 9887164 .
26. van Beusekom HM , Whelan DM , Hofma SH , Krabbendam SC , van Hinsbergh VW , Verdouw PD , et al. Long-term endothelial dysfunction is more pronounced after stenting than after balloon angioplasty in porcine coronary arteries . J Am Coll Cardiol . 1998 ; 32 ( 4 ): 1109 ± 17 . Epub 1998/10/13.. PMID: 9768740 .
27. Schoen FJ , Levy RJ . Calcification of tissue heart valve substitutes: progress toward understanding and prevention . Ann Thorac Surg . 2005 ; 79 ( 3 ): 1072 ± 80 . Epub 2005/03/01. https://doi.org/10.1016/j. athoracsur. 2004 . 06 .033 PMID: 15734452 .
28. van Beusekom HM , Post MJ , Whelan DM , de Smet BJ , Duncker DJ , van der Giessen WJ. Metalloproteinase inhibition by batimastat does not reduce neointimal thickening in stented atherosclerotic porcine femoral arteries . Cardiovasc Radiat Med . 2003 ; 4 ( 4 ): 186 ± 91 . Epub 2004/08/24. https://doi.org/10. 1016/j.carrad. 2004 . 02 .004 PMID: 15321056 .
29. Nakazawa G , Otsuka F , Nakano M , Vorpahl M , Yazdani SK , Ladich E , et al. The pathology of neoatherosclerosis in human coronary implants bare-metal and drug-eluting stents . J Am Coll Cardiol . 2011 ; 57 ( 11 ): 1314 ± 22 . Epub 2011/03/08. https://doi.org/10.1016/j.jacc. 2011 . 01 .011 PMID: 21376502 .
30. van Beusekom HM , van der Giessen WJ , van Suylen R , Bos E , Bosman FT , Serruys PW . Histology after stenting of human saphenous vein bypass grafts: observations from surgically excised grafts 3 to 320 days after stent implantation . J Am Coll Cardiol . 1993 ; 21 ( 1 ): 45 ± 54 . Epub 1993/01/01. PMID: 8417075 .
Karanasos A , Van Mieghem N , van Ditzhuijzen N , Felix C , Daemen J , Autar A , et al. Angiographic and optical coherence tomography insights into bioresorbable scaffold thrombosis: single-center experience . Circulation Cardiovascular interventions . 2015 ; 8 ( 5 ). Epub 2015 /05/15. https://doi.org/10.1161/ CIRCINTERVENTIONS.114.002369 PMID: 25969547 .
Kereiakes DJ , Ellis SG , Kimura T , Abizaid A , Zhao W , Veldhof S , et al. Efficacy and Safety of the Absorb Everolimus-Eluting Bioresorbable Scaffold for Treatment of Patients With Diabetes Mellitus: Results of the Absorb Diabetic Substudy. JACC Cardiovascular interventions . 2017 ; 10 ( 1 ): 42 ± 9 . Epub 2016/12/ 27. https://doi.org/10.1016/j.jcin. 2016 . 10 .019 PMID: 28017311 .
Raggi P , Shaw LJ , Berman DS , Callister TQ . Prognostic value of coronary artery calcium screening in subjects with and without diabetes . J Am Coll Cardiol . 2004 ; 43 ( 9 ): 1663 ± 9 . Epub 2004/05/04. https:// doi.org/10.1016/j.jacc. 2003 . 09 .068 PMID: 15120828 .
Duewell P , Kono H , Rayner KJ , Sirois CM , Vladimer G , Bauernfeind FG , et al. NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals . Nature . 2010 ; 464 ( 7293 ): 1357 ± 61 .
http://www.nature.com/nature/journal/v464/n7293/suppinfo/nature08938_S1.html. PMID: 20428172 35 . Ioannou GN , Haigh WG , Thorning D , Savard C . Hepatic cholesterol crystals and crown-like structures distinguish NASH from simple steatosis . J Lipid Res . 2013 ; 54 ( 5 ): 1326 ± 34 . https://doi.org/10.1194/jlr. M034876 PMID: 23417738