Literature DB >> 29946133

Phenotypic characterization of murine models of cerebral cavernous malformations.

Hussein A Zeineddine1, Romuald Girard1, Laleh Saadat1, Le Shen1,2, Rhonda Lightle1, Thomas Moore1, Ying Cao1, Nick Hobson1, Robert Shenkar1, Kenneth Avner1, Kiranj Chaudager1, Janne Koskimäki1, Sean P Polster1, Maged D Fam1, Changbin Shi1, Miguel Alejandro Lopez-Ramirez3, Alan T Tang4, Carol Gallione5, Mark L Kahn4, Mark Ginsberg3, Douglas A Marchuk5, Issam A Awad6.   

Abstract

Cerebral cavernous malformations (CCMs) are clusters of dilated capillaries that affect around 0.5% of the population. CCMs exist in two forms, sporadic and familial. Mutations in three documented genes, KRIT1(CCM1), CCM2, and PDCD10(CCM3), cause the autosomal dominant form of the disease, and somatic mutations in these same genes underlie lesion development in the brain. Murine models with constitutive or induced loss of respective genes have been applied to study disease pathobiology and therapeutic manipulations. We aimed to analyze the phenotypic characteristic of two main groups of models, the chronic heterozygous models with sensitizers promoting genetic instability, and the acute neonatal induced homozygous knockout model. Acute model mice harbored a higher lesion burden than chronic models, more localized in the hindbrain, and largely lacking iron deposition and inflammatory cell infiltrate. The chronic model mice showed a lower lesion burden localized throughout the brain, with significantly greater perilesional iron deposition, immune B- and T-cell infiltration, and less frequent junctional protein immunopositive endothelial cells. Lesional endothelial cells in both models expressed similar phosphorylated myosin light chain immunopositivity indicating Rho-associated protein kinase activity. These data suggest that acute models are better suited to study the initial formation of the lesion, while the chronic models better reflect lesion maturation, hemorrhage, and inflammatory response, relevant pathobiologic features of the human disease.

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Year:  2018        PMID: 29946133      PMCID: PMC6309944          DOI: 10.1038/s41374-018-0030-y

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


Cerebral cavernous malformation (CCM) is a common neurovascular disorder predisposing approximately 0.5 % of the population to a lifetime risk of hemorrhagic stroke, focal neurological deficits and seizures.[1-4] The disease can arise sporadically with solitary lesions, or is inherited in an autosomal dominant pattern, with mutations affecting one of the three documented CCM genes, namely KRIT1 (CCM1), CCM2 and PDCD10 (CCM3).[5-7] Many studies have been published about the natural course of the disease and the lifetime risk of morbidity and mortality.[4] However, the ability to accurately predict or modify lesion behavior in the clinical setting remains problematic. In vitro experiments and animal models examining the loss of CCM gene expression have contributed significantly to our understanding of disease pathobiology.[8-13] These include activation of Rho-associated protein kinase (ROCK),[14] resulting in disrupted endothelial cell-cell junctions and hyper-permeability of the blood-brain barrier.[10, 15–17] These are associated with repetitive hemorrhages and perilesional iron deposition, mediating clinical manifestations.[18-21] A defined B and T cell mediated immune response has been reported to modulate the clinical course of the disease in human and murine models,[22-24] and several studies have shown that inflammation may promote CCM development.[25-28] Mice with genetic mutations of Krit1, Ccm2, and Pdcd10 have been generated, and constitutive deletion of both copies of these genes lead to embryonic lethality, with defects in cardiac development.[29-31] Two general strategies have been used to circumvent this embryonic lethality. One approach uses mice with heterozygous Ccm mutations, and these develop lesions in all regions of the brain as the mice age, especially when bred in a background predisposing to somatic mutations (p53 or Msh2 genes loss).[9] These have been referred to as “chronic models”. Brains in these models recapitulate various features of the human autosomal dominant disease, including the stochastic development of new lesions over time. Lesions include primordial dilated capillaries and more mature multi-cavernous lesions, and they manifest other phenotypic signatures of the human disease, including increased blood-brain barrier permeability, defective endothelial cell-cell junctions, iron deposition, and immune cell infiltration.[8, 9, 32, 33] These models have already been used for the pre-clinical testing of therapeutic agents.[8, 11, 34] CCM lesions can also be generated with great efficiency in the developing hindbrain and retinas with endothelial-specific tamoxifen-inducible Cre expression leading to homozygous loss of Krit1, Ccm2 or Pdcd10 genes in the immediate postnatal period.[14, 30, 32, 35, 36] In these “acute models”, injection of tamoxifen in neonatal mice (at postnatal days 1 to 3) leads to homozygous deletion of CCM genes in endothelial cells. Lesions with similar histology as CCM develop within a few days in the hindbrain and retina, where ongoing vasculogenesis lags into the postnatal period. These animals do not typically survive into adulthood, but the models have been used very effectively to demonstrate several molecular signaling aberrations driving CCM lesion genesis.[14, 37] It remains unclear to what extent the acute models manifest the same phenotypic features as chronic lesions or the human disease. The number and volumetric lesion burden, maturation of lesions, cellular changes in lesional endothelial cells, iron deposition, and involvement of immune cells have not been studied systematically in the acute and chronical models. The potential differences will influence what aspects of disease are best modeled by each approach. Our current study aim to fill this knowledge gap by directly comparing lesion phenotypes in these two general classes of CCM murine models.

Material and methods

Transgenic CCM murine models

Six distinct Mus musculus transgenic CCM models were studied, and defined as acute (3 different genotypes) or chronic (3 different genotypes) models. Guidelines stated in the National Institutes of Health Guide for the Care and Use of Laboratory Animals (NIH Publications No. 8023, revised 1978) have been followed, and all animal studies have complied with the Animal Research: Reporting of In Vivo Experiments guidelines. Acute models were bred at University of Pennsylvania or the University of California at San Diego, and chronic models at Duke University. Following brain extraction and fixation, specimens were sent to a common phenotyping core laboratory at the University of Chicago for imaging and histological analyses.

Cdh5 acute model

Cdh5 mice were generated by breeding Cdh5 and Krit1fl/fl mice as previously reported.[14] All mice were maintained on a mixed 129Sv/C57Bl6 background. At 1-day post-birth, 40 μg of 4-hydroxytamoxifen (H7904, Sigma Aldrich, Milwaukee, WI) were dissolved in 50 μL of warm 5% ethanol/corn oil vehicle (Sigma Aldrich), and were intragastrically injected into mouse pups using a 30-gauge needle. At 10-day post-birth, 1 mg of Avertin (2, 2, 2-tribromoethanol, Sigma Aldrich) was intraperitoneally injected into mouse pups for anesthesia, followed by an intracardiac perfusion of 8 mL of cold phosphate-buffered saline using a 27-gauge needle. The brains were then surgically removed using a standardized procedure and dropped into a 4% paraformaldehyde fixative solution (Sigma Aldrich). The Cdh5 mice were a generous gift from Ralf H. Adams. All procedures were performed in accordance with the University of Pennsylvania Institutional Animal Care and Use Committee (IACUC) that approved all animal protocols.

Pdgfb and Pdgfb acute models

The endothelial-specific conditional Krit1 null mice were generated by breeding mice expressing endothelial specific Pdgfb promoter driven tamoxifen-regulated Cre recombinase, CreERT2, in combination with loxP-flanked Krit1 exon 5 (Pdgfb).[38] The endothelial-specific conditional Pdcd10 null mice were generated by breeding mice expression Pdgfb in combination with LoxP-flanked Pdcd10 exon 4 (Pdgfb At 1, 2 and 3-day post-birth, mice were intraperitoneally administered 50 μg of tamoxifen (Sigma Aldrich) to induce Cre activity and endothelial Krit1 or Pdcd10 gene inactivation in the littermates bearing the CreERT2. Mice were sacrificed by decapitation for phenotypic analysis on postnatal day 7. Mouse brains were surgically removed and dropped into a 10% neutral buffered formalin fixative solution (Sigma Aldrich). All animal experiments were carried out in compliance with animal procedure protocols approved by the University of California, San Diego IACUC.

Krit1+/−Msh2−/−, Pdcd10+/−, and Pdcd10+/−Trp53−/− chronic models

Animals were generated with the respective genotypes by crossing the Ccm heterozygous mice with mice null for Msh2 or Trp53.[9, 12, 39] Krit1 heterozygous mice do not manifest any lesions unless crossed into these backgrounds. Pdcd10 heterozygous mice manifest a very mild phenotype, markedly exaggerated when crossed into Msh2 or Trp53 backgrounds. Mice were sacrificed at around 4 months of age by inhalation of carbon dioxide (Airgas, Radnor Township, PA, USA) and decapitation. The mouse brains were then surgically extracted and dropped into a 10% neutral buffered formalin fixative solution (Azer Scientific, Morgantown, PA, USA). All animal protocols were approved by the Duke University IACUC, where all breeding of these models was conducted.

Micro-CT acquisition and lesional volumetric assessment

Micro-CT imaging and volumetric assessments of lesion burden were performed using a published protocol.[40] Fixed extracted brains from the respective models were shipped to the University of Chicago, where they were processed by soaking in iodine to increase the differential contrast between CCMs and brain tissue on micro-CT images. Brains were then scanned using a transmission 180 kV nanofocus X-ray of a Phoenix v|tome|x s micro-computed tomography system (General Electric, Fairfield, CT, USA). The post-processing of the micro-CT-scan DICOM images and the volumetric segmentation of the iodine-stained CCM lesions were performed using AMIRA 5.5.0 (FEI, Hillsboro, OR, USA). In order to correct for variations of total brain volume, the lesional to brain volume ratio was calculated.

CCM mouse brain tissue processing

Paraffin-embedded mouse brain tissue blocks of 1-mm thickness were generated at University of Chicago Human Tissue Research Center (Chicago, IL, USA). All sections were examined at 1.5× magnification for quality and presence of CCMs, using a dissecting microscope (Olympus SZ61 mounted with an Olympus DP21 camera). If a lesion was present, the block was microsectioned at 5-μm thickness using a rotary microtome (Leica Biosystems Inc., Buffalo Grove, IL, USA) until a representative visualization (maximum diameter) was encountered by the histotechnicians (TM and RL). When multiple CCM lesions were encountered on the same 1-mm thick slice, each lesion was considered individually. After hematoxylin and eosin (H&E) staining, all 5-μm sections were reviewed for CCMs by two independent observers (RS and TM), with findings further adjudicated by a third observer (IAA).[8, 9] CCMs were identified and catalogued on the respective coronal tissue sections as Stage 1 or Stage 2. A Stage 1 CCM lesion was defined as an isolated single ballooned capillary (cavern) with a minimum diameter of 100 μm. Stage 2 CCM lesions were contiguous multicavernous lesions with at least one of the caverns having a diameter of 100 μm or more (Supplementary Figure 1).[8] The lesional area was segmented by defining the borders delineating the entire CCM lesion using the polygon area function of a microscope digital camera DP21 (Olympus America Inc., Center Valley, Pennsylvania, USA).

Assessment of ROCK activity

Lesional and normal brain capillaries endothelial cells from chronic Krit1+/−Msh2−/− model and acute Cdh5 model were analyzed for ROCK activity. Cells were qualitatively assessed for the intensity of phosphorylated myosin light chain (pMLC) and defined as either positive (stained brown) or negative (stained blue).[8, 9]

Perls Prussian blue staining and iron quantification

Sixteen Stage 2 lesions from 13 acute Krit1+/−Msh2−/− mice and 12 Stage 2 lesions from 9 Cdh5 mice were stained using Perls Prussian blue to detect non-heme iron deposition, an index of chronic hemorrhage burden.[8, 9] The stained tissue sections were then scanned using a 20X Zeiss objective (Zeiss Microscopy, Göttingen, Germany) mounted on a Pannoramic midi II digital slide scanner (3D Histech Ltd, Budapest, Hungary) at the Integrated Light Microscopy Facility (University of Chicago, Chicago, IL, USA), and exported as magnified TIFF images (5X) from the digital Pannoramic Viewer (3D Histech Ltd). The computational quantification of iron was performed using Image J (National Institute of Health, Bethesda, MD, USA). For each exported magnified TIFF images, a RGB color-deconvolution algorithm was applied to isolate the red, green, blue components.[41, 42] The blue component image was then selected, inversed and an automatic Rényi entropy-based thresholding method applied.[43] For each Perls Prussian blue-stained section, the cumulative intensity value was assessed based on the clusters that survived the thresholding. The cumulative intensity value was then normalized to the lesional area.

Positive B- and T-lymphocytes cells staining

Stage 2 lesions from 9 Krit1+/−Msh2−/− and 5 Cdh5 mice were stained for CD45R/B220 positive B-lymphocytes and CD3 positive T-lymphocytes at the immunohistochemistry facility in the human tissue research center at the University of Chicago following methods previously reported.[8, 9] Sections from spleens were also stained for CD45R/B220 positive B-lymphocytes and CD3 positive T-lymphocytes and used as positive controls.

Immunofluorescent staining of tight junctional proteins

A double immunofluorescence labeling was performed to study the colocalization in lesions and normal vessels of cluster of differentiation 31 (CD31), a specific vascular endothelial cell protein, with the 3 tight junctional proteins occludin, zonula occludens 1 (ZO-1) and claudin-5. Formalin fixed, paraffin embedded 5μm tissue sections of brain tissues from 2 acute Cdh5 and 3 chronic Krit1+/−Msh2−/− mice were deparaffinized by successive soaking in xylenes (Thermo Fisher Scientific, Waltham, MA), gradually rehydrated in ethanol (dilutions 100, 95, 70 then 50%, Decon Laboratories Inc., King of Prussia, PA), and transferred into deionized water. The background autofluorescence was quenched by bathing slides in NH4CL for 1 hour, followed by 3 washes in Tris Buffered Saline (TBS, Thermo Scientific). Slides were then transferred into a pH 9 citrate buffer (Dako, Santa Clara, CA). Antigen retrieval was performed for 45 minutes using a steamer, cooled down for 30 minutes, and then washed three times 5 minutes in TBS. Sections were then blocked using 0.3% donkey serum for 1 hour at room temperature. Primary antibodies were applied at optimized concentrations, as previously determined on control tissues. Endothelial cells were identified using a goat anti-mouse CD31 antibody (1/500 dilution, R&D Systems, Minneapolis, MN). Junctional proteins were localized using rabbit anti-claudin-5 (1/1000, Novus Biologicals, Littleton, CO), rabbit anti-ZO-1 (1/1000 dilution, Thermo Scientific) or mouse monoclonal anti-occludin conjugated to Alexa Fluor 594 (1/500 dilution, Thermo Scientific) antibodies. For dual staining of CD31/claudin-5 or CD31/ZO-1, both pairs of primary antibodies were applied overnight at 4° C. CD31 was detected with secondary antibody Alexa Fluor 594 (donkey anti-goat IgG, Jackson Immunoresearch Laboratories West Grove, PA) and claudin-5 and ZO-1 were detected by Alexa Fluor 647 (donkey anti-rabbit IgG, Jackson Laboratories). Dual staining of CD31/occludin was performed sequentially. The detection for each marker was completed before application of next antibody. Occludin was detected by direct labeling using the anti-occludin Alexa Fluor 594 conjugate and CD31 was detected by the Alexa Fluor 647 (donkey anti-goat, Jackson Laboratories). Between each step, the sections were washed in TBS, 0.1% Tween 20 (Thermo Scientific) during 3 cycles of 5 minutes each. In all cases, the result of each negative control confirmed the specificity of the corresponding antibody staining. Specimens were mounted in ProLong Gold (ThermoFisher) antifade medium.

Microscopy of the tight junctional proteins

Z-stack images were acquired at 1.27μm intervals using a fully automated inverted wide field Zeiss Axiover 200M microscope (Zeiss Microscopy) with a 63×1.4 numerical aperture oil immersion Hamamatsu Orca ER objective (Hamamatsu, Hamamatsu City, Japan), and deconvolved through SlideBook 6 (Intelligent Imaging Innovations Inc., Denver, CO) at the Integrated Light Microscopy Core facility (University of Chicago, Chicago, IL, USA). The z-stack images were exported, and the maximal intensity projection images were generated, and overlaid using ImageJ 1.5 (National Institutes of Health, Bethesda, MD, USA), and Metamorph 7.0 (Molecular Devices, Sunnyvale, CA, USA) softwares. The number of cells positive for CD31, occludin, ZO-1, and claudin-5 were then manually counted on maximal projection images.

Statistical methods

The statistical differences between the ratio of CCM lesional per brain volume, the ratio of cumulative iron intensity per lesional area in Stage 2 lesions, and the number of inflammatory cells per lesional area in Stage 2 lesions of two groups were assessed using an unpaired two-sample t test or Wilcoxon nonparametric test when appropriate. The equality of sample variances was estimated with pooled standard deviation or Satterthwaite method. Chi-square analyses were performed to compare the prevalence of endothelial cell ROCK activity, to assess the distribution of lesions. Chi-square method was also used to compare the difference in prevalence of lesional or normal brain capillaries endothelial cells stained with occludin, ZO-1 or claudin-5. Statistical analyses and graphics were performed respectively using SAS 9.4 (SAS Institute Inc., Cary, NC, USA) and GraphPad Prism 4.0 (GraphPad Software Inc., La Jolla, CA, USA).

Results

Acute models harbored a higher lesion burden, mainly localized in the cerebellum, than chronic models

The acute neonatal model Cdh5 (n=10) had higher adjusted volume lesion burden than the acute Pdgfb (n=16) (p=0.02), and the chronic Krit1+/−Msh2−/− (n=5) models (p=0.009). Krit1/−Msh2−/− harbored significantly lower lesion burden than Pdgfb (p=0.001). Pdgfb had significantly higher lesion burden than the chronic Pdcd10/− (p=0.007) model. The Pdcd10/−Trp53−/− model showed a significantly higher lesion burden than the non-sensitized Pdcd10/− model (p<0.001) (Figure 1). In addition, Cdh5 acute model showed a predominant distribution of lesions in the cerebellum, while the chronic Krit1/−Msh2−/− model showed a more stochastic distribution (p<0.001) throughout the brain (Figure 2).
Figure 1

Volumetric assessment of lesion burden using micro-CT

Cdh5 acute mice (n=10) had higher adjusted volume lesion burden than the acute Pdgfb (n=16), and the chronic Krit1+/−Msh2−/− (n=5). Pdcd10/− Trp53−/− showed a significantly higher lesion burden than the non-sensitized Pdgfb (n=4) and Pdcd10/− (n=21). All p values were considered to be statistically significant at *p<0.05, **p<0.01 or ***p<0.001.

Figure 2

Volume distribution of lesions

Acute Cdh5 mice harbor proportionally more lesion within the cerebellum compared to chronic Krit1/−Msh2−/− mice that have a more stochastic distribution (p<0.001). Example of a 3D rendering of an acute model (top) showing the highly-concentrated lesion burden in the cerebellum compared to the more stochastic distribution in a chronic brain model (bottom). All p values were considered to be statistically significant at ***p<0.001.

ROCK activity was differently expressed in the endothelial cells of normal capillaries in acute models and chronic models

Lesional endothelial cells and background brain ROCK activity were assessed in acute Cdh5 mice (13 Stage 2 lesions from 3 mice) and in chronic Krit1+/−Msh2−/− mice (5 Stage 2 lesions from 3 mice). No significant difference was observed in the ROCK activity in Stage 2 lesions between acute and chronic models (Figure 3A). However, the ROCK activity of Krit1+/−Msh2−/− mice showed a higher prevalence of strongly stained endothelial cells in normal brain capillaries located in the forebrain compared to the acute Cdh5 model (p=0.01). The endothelial cells of non-lesional brain capillaries located in the hindbrain of acute Cdh5 model showed higher strong ROCK activity (p<0.001) than the endothelial cells of normal brain capillaries in the forebrain (Figure 3B).
Figure 3

Endothelial Rho kinase protein (ROCK) activity in Stage 2 lesions and brain capillaries

(A) (Left) No significant difference was observed between the ROCK activity in endothelial cells of acute Cdh5 (n=93 cells counted in 5 lesions from 3 mice) and chronic Krit1/−Msh2−/− lesions (n=358 cells counted in 13 lesions from 3 mice). (Right) Representative image of a Stage 2 lesion stained for ROCK activity showing an endothelial cell with strong ROCK activity (brown staining; black arrowhead) and another with no ROCK activation (blue staining; white arrowhead). Scale bar is 50 μm. (B) (Left) Krit1/−Msh2−/− brain normal capillaries (n=583 cells from 3 mice) had a significantly higher (p=0.01) strong ROCK activity compared to Cdh5 normal capillaries (n=445 cells from 3 mice) far from lesions in the forebrain. Endothelial cells of Cdh5 (n=179 cells from 3 mice) normal capillaries near lesions in the hindbrain had higher strong activity (p<0.001) than those far (n=445 cells from 3 mice) from lesions in the forebrain. (Right) Representative image of a normal capillary stained for ROCK activity. Scale bar is 20 μm. All p values were considered to be statistically significant at **p<0.01 or ***p<0.001.

The iron deposition was higher in the Stage 2 lesions of chronic models

The Stage 2 lesions of chronic Krit1+/−Msh2−/− (16 Stage 2 lesions from13 mice) showed a higher ratio of cumulative iron intensity per lesional area (p=0.03) compared to the acute Cdh5 (12 Stage 2 lesions from 9 mice) (Figure 4).
Figure 4

Non-heme iron deposition in Stage 2 CCM lesions in acute and chronic models

(A) Lesions from chronic Krit1+/−Msh2−/− (16 lesions from 13 mice) harbor significantly higher (p=0.03) integrated density of non-heme iron deposition per lesional area compared to lesions from acute Cdh5 (12 lesions from 9 mice). (B) Representative non-heme iron deposition (Perls blue stain) in Stage 2 lesions from an acute Cdh5 model (upper) and a chronic Cdh5 model (lower). Scale bars are 200 μm. All p values were considered to be statistically significant at *p<0.05.

The Stage 2 lesions of chronic models showed a higher number of inflammatory cells

The chronic Krit1+/−Msh2−/− Stage 2 lesions (9 Stage 2 lesions from 9 mice) showed a higher number of B cells (p=0.005) and T cells (p=0.04) per lesional area compared to the acute Cdh5 Stage 2 lesions (14 Stage 2 lesions from 5 mice) (Figure 5).
Figure 5

Inflammatory cells in Stage 2 lesions in acute and chronic CCM models

(A) (Left) Chronic Krit1/−Msh2−/−lesions (9 lesions from 9 mice) showed a significantly higher (p=0.005) number of B cells per lesional area than the Cdh5 acute lesions (14 lesions from 5 mice). (Right) Representative image of a Stage 2 showing brown stained CD45R/B220 B cells in a chronic Krit1/−Msh2−/− Stage 2 lesion. (B) (Left) Chronic Krit1/−Msh2−/− lesions (9 lesions from 9 mice) showed a significantly higher (p=0.04) number of T cells per lesional area than the Cdh5 acute lesions (14 lesions from 5 mice). (Right) Representative image of a Stage 2 showing staining of CD3 positive T cells in a chronic Krit1/−Msh2−/− Stage 2 lesion. Scale bars are 50 μm. All p values were considered to be statistically significant at *p<0.05 or **p<0.01.

The prevalence of lesional endothelial cells expressing occludin was lower in acute and chronic models, than in non lesional capillaries. The prevalence of lesional endothelial cells expressing ZO-1 was decreased only in chronic models compared to normal capillaries

The number of endothelial cells expressing CD31, occludin, ZO-1 and claudin-5 were assessed manually in both acute Cdh5 (n=2) and chronic Krit1/−Msh2−/− (n=3) mice (Supplementary Table 1). The percentage of CD31 positive endothelial cells expressing occludin was lower in CCM lesions than in normal vessels in both acute (p<0.0001) and chronic (p=0.005) models (Figure 6A). In chronic models, the proportion of cell expressing both CD31 and ZO-1 was also lower in lesions than normal vessels (p<0.0001) (Figure 6B). However, no difference was observed in the prevalence of claudin-5 immunopositive endothelial cells either between acute and chronic model lesions, or between CCM lesions and normal vessels.
Figure 6

Disrupted tight junctions in acute and chronic CCM models

(A) The difference of CD31 positive endothelial cells (green channel) expressing occludin (red channel) and those lacking occludin was lower in CCM lesions compared to normal vessels for both acute (p<0.0001) and chronic (p=0.005) models. (B) The difference of cells expressing both CD31 (green channel) and ZO-1 (red channel) and those expressing only CD31 was also lower in CCM lesions compared to normal vessels (p<0.0001) only in chronic models. The white arrows indicate endothelial cell lacking junctional proteins. * indicate the lumen of the CCM lesion. Scale bars are 20 μm (on the images). All p values were considered to be statistically significant at **p<0.01 or ***p<0.001 (on the graphs).

Discussion

We herein described phenotypic differences between acute and chronic CCM mouse models, reflecting different pathogenetic features of CCM disease (Table 1). While the fundamental signaling alterations of endothelial ROCK activity and relative loss of Occludin in tight junctions were present in both, many other integral pathologies, namely iron deposition and immune cell infiltration, were not observed in the acute neonatal models, nor was the endothelial loss of a second junctional protein ZO-1.
Table 1

Summary of phenotypic differences observed between acute and chronic CCM models compared to human

Acute murineChronic murineHuman
GenotypeCdh5iCreERT2Krit1ECKOKrit1+/−Msh2−/−KRIT1+/−
PdgfbiCreERT2Krit1ECKOPdcd10+/−CCM2+/−
PdgfbiCreERT2Pdcd10 ECKOPdcd10+/−Trp53−/−PDCD10+/−

Lesion burden and distribution (Figure 1 and 2)

Higher lesion burden than chronic models

Localized in the cerebellum

More aggressive in Pdcd10 genotype

Lower lesion burden than acute models

Random brain volume distribution

More aggressive in Pdcd10 genotype

Lesion burden depends on the genotype, greater with PDCD10[39]

Random brain volume distribution in familial cases; near developmental venous anomalies in sporadic cases [45]


ROCK activity in ECs (Figure 3)

Robust in lesional ECs, present in hindbrain normal capillaries

Robust in lesional ECs, present in normal capillaries throughout the brain

Robust in lesional ECs, present in normal brain capillaries in familial cases [39]


Lesional non-heme iron deposition * (Figure 4)

Minimal in Stage 2 lesions

Robust in Stage 2 lesions

Robust in CCM lesions [18]


Infiltrated inflammatory cells (B and T cells) * (Figure 5)

Minimal in Stage 2 lesions

Robust in Stage 2 lesions

Robust in CCM lesions [23]


Tight junctions (Figure 6)

Lower prevalence of lesional ECs expressing occludin compared to normal ECs

Lower prevalence of lesional ECs expressing occludin and ZO-1 compared to normal ECs

Lower expression of claudin-5, occludin and ZO-1 on lesional ECs compared to normal ECs [50]

Abbreviations: CCM, cerebral cavernous malformation; ECs, endothelial cells; ZO-1, zona occludens-1

relative to lesional area

Lesions in the heterozygous chronic models form stochastically over time, randomly distributed throughout the mouse brain, much like human lesions.[44, 45] They harbor other documented phenotypic markers of the human lesion such as iron deposition and immune cell infiltration.[9, 22, 23] Similar to the human form of the disease, there is a much heavier lesion burden with Pdcd10 mutations than with other genotypes.[33, 39, 46] Chronic models of the 3 Ccm genes[9, 47] have been used successfully to test the effect of various investigational drugs on lesion formation, maturation and bleeding.[8, 28] But these models are rather inefficient, developing a negligible lesion burden except when sensitized with complex breeding, and only one of eight mice achieving the desired genotype. Potential impact of the sensitized background (Msh2 or Tp53 loss) on the disease biology could not be excluded. The acute models examined herein had much higher lesion burden than the chronic model, consistent with induced loss of gene function in angiogenically active endothelial cells in the developing hindbrain, rather than in a volume random distribution throughout the brain.[13, 14, 37]. The lesion burden in acute models is likely a reflection of the efficiency and timing of the knockout as well as the time of sacrifice of the animals. Other groups have reported models of the disease using an inducible knockout with lower lesion burdens, surviving later in life. This variability may be explained by a less efficient knockout induction, lower aggressiveness of Ccm2 genotype, or the induction of gene loss later in the mouse’s life.[32, 33, 36] We observed that both models had ROCK activity in a similar proportion of lesional endothelial cells. However, the chronic model background brain endothelial cells had a higher proportion of cells with increased ROCK activity. This is consistent with the heterozygous state of the chronic model in which every endothelial cell harbors only one functional gene from the time of embryogenesis. Conversely, ROCK activity in normal capillary endothelium was increased in the hindbrain but not forebrain of acute models, consistent with the loss of Ccm gene function in these regions of the brain with angiogenic activity. Staining for Ccm proteins was not performed in these experiments, but this is currently being pursued in a larger project, looking at clonal versus mosaic loss of gene function and deterministic lesion development. Lesions from acute models showed minimal iron deposition consistent with the absence of chronic hemorrhage. This may be related to the early sacrifice of these animals secondary to the high lesion burden. Other models of inducible knockout where animals survived later in life did in fact show some iron deposition in the older animals.[33, 36, 48] We also described a limited inflammatory response in acute lesions. This may be explained by an immature neonatal immune system,[49] or by the immune response potentially developing over time, or in reaction to chronic hemorrhage. Hence, signaling and molecular alterations related to bleeding and inflammation might thus be either underrepresented or missing altogether in the acute models. Interventions targeting chronic bleeding and inflammatory mechanisms influencing lesion development cannot be tested, and novel targets of therapy may be missed by solely relying on these neonatal models. This is particularly cogent with the recent evidence of the potential role of immune-modulation as CCM therapy,[26] and the impact of statins on iron deposition in CCM.[28] We observed a lower proportion of endothelial cells expressing occludin immunopositivity in the lining of lesions of both acute and chronic models in comparison to non-lesional capillary endothelium. We also found a lower proportion of lesional endothelial cells with ZO-1 expression in chronic models. The mRNA expression of occludin, claudin-5, ZO-1 has been reported to be downregulated in resected human CCM lesion.[50] ROCK mediates the formation of the tight junctions by phosphorylating occludin and claudins to regulate permeability through endothelial cell monolayers.[10, 51, 52] In vitro and in vivo studies demonstrated that pro-inflammatory processes downregulate the expression of ZO-1, and increase blood-brain barrier permeability.[53-56] Our collaborators reported a loss of ZO-1 expression with Krit1 loss in cultured brain microvascular endothelial cells.[57] The results herein demonstrate a gross disruption of junctional protein expression in a fraction of endothelial cells lining CCM lesions in murine brains. The loss of tight junction proteins is more overt in chronic lesions, involving both occludin and ZO-1, perhaps reflecting a process of lesion maturation. Overall, we describe a number of key phenotypic differences between acute and chronic models. Acute models will remain highly valuable, with advantages of efficient and quick lesion development, allowing the characterization of fundamental signaling aberrations driving CCM lesion formation. Conversely, chronic models are less efficient at developing lesions, but reflect more faithfully other features of lesion maturation, including chronic hemorrhage and inflammation, and stochastic lesion development over time. They allow more reliable testing of therapies targeting these clinically relevant features of the human disease. Chronic models develop Stage1 and Stage 2 lesions stochastically over time, hence using them at an earlier age would not yield significant lesion burden for meaningful study. Conversely, acute models (except with the milder Ccm2 genotype) do not typically survive into adulthood or are very ill in view of severity of hindbrain lesion burden. We foresee the development of new hybrid models, seeking to induce gene loss less efficiently, or later postnatally. This could create a burden of lesions that increases stochastically over time, and allows lesions to develop mature features of chronic hemorrhage and inflammation, potentially recapitulating advantages of both models.
  14 in total

Review 1.  Cavernous angiomas: deconstructing a neurosurgical disease.

Authors:  Issam A Awad; Sean P Polster
Journal:  J Neurosurg       Date:  2019-07-01       Impact factor: 5.115

2.  Distinct cellular roles for PDCD10 define a gut-brain axis in cerebral cavernous malformation.

Authors:  Alan T Tang; Katie R Sullivan; Courtney C Hong; Lauren M Goddard; Aparna Mahadevan; Aileen Ren; Heidy Pardo; Amy Peiper; Erin Griffin; Ceylan Tanes; Lisa M Mattei; Jisheng Yang; Li Li; Patricia Mericko-Ishizuka; Le Shen; Nicholas Hobson; Romuald Girard; Rhonda Lightle; Thomas Moore; Robert Shenkar; Sean P Polster; Claudia J Roedel; Ning Li; Qin Zhu; Kevin J Whitehead; Xiangjian Zheng; Amy Akers; Leslie Morrison; Helen Kim; Kyle Bittinger; Christopher J Lengner; Markus Schwaninger; Anna Velcich; Leonard Augenlicht; Salim Abdelilah-Seyfried; Wang Min; Douglas A Marchuk; Issam A Awad; Mark L Kahn
Journal:  Sci Transl Med       Date:  2019-11-27       Impact factor: 17.956

3.  Comprehensive transcriptome analysis of cerebral cavernous malformation across multiple species and genotypes.

Authors:  Janne Koskimäki; Romuald Girard; Yan Li; Laleh Saadat; Hussein A Zeineddine; Rhonda Lightle; Thomas Moore; Seán Lyne; Kenneth Avner; Robert Shenkar; Ying Cao; Changbin Shi; Sean P Polster; Dongdong Zhang; Julián Carrión-Penagos; Sharbel Romanos; Gregory Fonseca; Miguel A Lopez-Ramirez; Eric M Chapman; Evelyn Popiel; Alan T Tang; Amy Akers; Pieter Faber; Jorge Andrade; Mark Ginsberg; W Brent Derry; Mark L Kahn; Douglas A Marchuk; Issam A Awad
Journal:  JCI Insight       Date:  2019-02-07

4.  Circulating Plasma miRNA Homologs in Mice and Humans Reflect Familial Cerebral Cavernous Malformation Disease.

Authors:  Abhinav Srinath; Ying Li; Romuald Girard; Issam A Awad; Sharbel G Romanos; Bingqing Xie; Chang Chen; Yan Li; Thomas Moore; Dehua Bi; Je Yeong Sone; Rhonda Lightle; Nick Hobson; Dongdong Zhang; Janne Koskimäki; Le Shen; Sara McCurdy; Catherine Chinhchu Lai; Agnieszka Stadnik; Kristina Piedad; Julián Carrión-Penagos; Abdallah Shkoukani; Daniel Snellings; Robert Shenkar; Dinanath Sulakhe; Yuan Ji; Miguel A Lopez-Ramirez; Mark L Kahn; Douglas A Marchuk; Mark H Ginsberg
Journal:  Transl Stroke Res       Date:  2022-06-17       Impact factor: 6.829

5.  Common transcriptome, plasma molecules, and imaging signatures in the aging brain and a Mendelian neurovascular disease, cerebral cavernous malformation.

Authors:  Janne Koskimäki; Sean P Polster; Yan Li; Sharbel Romanos; Abhinav Srinath; Dongdong Zhang; Julián Carrión-Penagos; Rhonda Lightle; Thomas Moore; Seán B Lyne; Agnieszka Stadnik; Kristina Piedad; Ying Cao; Robert Shenkar; Alexey V Dimov; Nick Hobson; Gregory A Christoforidis; Timothy Carroll; Romuald Girard; Issam A Awad
Journal:  Geroscience       Date:  2020-06-17       Impact factor: 7.713

6.  Antibodies in cerebral cavernous malformations react with cytoskeleton autoantigens in the lesional milieu.

Authors:  Dongdong Zhang; Andrew J Kinloch; Abhinav Srinath; Robert Shenkar; Romuald Girard; Rhonda Lightle; Thomas Moore; Janne Koskimäki; Azam Mohsin; Julián Carrión-Penagos; Sharbel Romanos; Le Shen; Marcus R Clark; Changbin Shi; Issam A Awad
Journal:  J Autoimmun       Date:  2020-04-30       Impact factor: 7.094

7.  Abortive intussusceptive angiogenesis causes multi-cavernous vascular malformations.

Authors:  Wenqing Li; Virginia Tran; Iftach Shaked; Belinda Xue; Thomas Moore; Rhonda Lightle; David Kleinfeld; Issam A Awad; Mark H Ginsberg
Journal:  Elife       Date:  2021-05-20       Impact factor: 8.140

8.  Transcriptome clarifies mechanisms of lesion genesis versus progression in models of Ccm3 cerebral cavernous malformations.

Authors:  Janne Koskimäki; Dongdong Zhang; Yan Li; Laleh Saadat; Thomas Moore; Rhonda Lightle; Sean P Polster; Julián Carrión-Penagos; Seán B Lyne; Hussein A Zeineddine; Changbin Shi; Robert Shenkar; Sharbel Romanos; Kenneth Avner; Abhinav Srinath; Le Shen; Matthew R Detter; Daniel Snellings; Ying Cao; Miguel A Lopez-Ramirez; Gregory Fonseca; Alan T Tang; Pieter Faber; Jorge Andrade; Mark Ginsberg; Mark L Kahn; Douglas A Marchuk; Romuald Girard; Issam A Awad
Journal:  Acta Neuropathol Commun       Date:  2019-08-19       Impact factor: 7.801

9.  Novel Murine Models of Cerebral Cavernous Malformations.

Authors:  Matthew R Detter; Robert Shenkar; Christian R Benavides; Catherine A Neilson; Thomas Moore; Rhonda Lightle; Nicholas Hobson; Le Shen; Ying Cao; Romuald Girard; Dongdong Zhang; Erin Griffin; Carol J Gallione; Issam A Awad; Douglas A Marchuk
Journal:  Angiogenesis       Date:  2020-07-24       Impact factor: 9.596

Review 10.  Cerebral Cavernous Malformation: From Mechanism to Therapy.

Authors:  Daniel A Snellings; Courtney C Hong; Aileen A Ren; Miguel A Lopez-Ramirez; Romuald Girard; Abhinav Srinath; Douglas A Marchuk; Mark H Ginsberg; Issam A Awad; Mark L Kahn
Journal:  Circ Res       Date:  2021-06-24       Impact factor: 23.213

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