INTRODUCTION
Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant genetic disease that causes vascular malformations in multiple organs. The most common symptoms of HHT are epistaxis, telangiectases, and visceral lesions.1 HHT has a low prevalence of 1:5000 and, therefore, the diagnosis is often made with a delay of many years.2 Recurrent epistaxis affects about 90% of patients with HHT and represents the most frequent and obvious complaint.3 However, malformations and shunts in internal organs, such as the liver, are more relevant for the long‐term prognosis as they can ultimately lead to heart failure.4
Genetic loss‐of‐function mutations of ENG (encoding Endoglin) or ACVRL1 (encoding activin receptor‐like kinase 1 [ALK1]) distinguish the two subtypes of HHT, i.e., HHT1 and HHT2.5,6 In HHT1, visceral vascular malformations are predominantly found in the brain and lungs, whereas ACVRL1 mutations in HHT2 are frequently associated with vascular malformations in the liver.7 ALK1 and Endoglin are involved in angiogenesis, in which ALK1 drives the stalk cell phenotype in cooperation with Notch signaling, whereas tip cells exhibit only minor ALK1 activity.8
Both Endoglin and ALK1 are members of the same branch of the transforming growth factor beta signaling superfamily that also comprises bone morphogenetic protein (BMP)‐9, BMP‐10, and SMAD4.9 In the liver, BMP‐9 is primarily secreted by hepatic stellate cells,10,11 binds to the endothelial ALK1‐Endoglin receptor complex,12,13 and activates the SMAD1/5/8‐SMAD4 signal transduction pathway to regulate gene expression programs.14 ALK1‐dependent BMP‐9 signaling is supposed to play a role in hepatic fibrogenesis. So far, however, it is not fully established under which conditions BMP‐9 signaling in liver sinusoidal endothelial cells (LSEC) acts to promote or prevent hepatic fibrogenesis.11,15 This issue is further complicated by the fact that hepatic fibrogenesis has been shown to depend on the genetic background in the respective preclinical models.16
Investigating HHT and ALK1 signaling in preclinical models is challenging due to the high mortality that has been observed. Therefore, most preclinical models have to be used at very early time points after HHT induction, and ex vivo systems such as the retina are preferred. Notably, vascular malformations of the liver are not covered well by currently available mouse models.17
The vascular system of the liver is highly complex featuring hepatic arteries and veins, portal vessels, and a special microvascular bed, i.e., the hepatic sinusoids. The hepatic sinusoids are lined by LSEC, a discontinuous variety of endothelial cells (EC) featuring wide transcellular pores called fenestrae.18 LSEC lack a continuous basement membrane, but they are embedded in extracellular matrix (ECM) proteins in the space of Disse that extends from the abluminal side of LSEC to the luminal pole of hepatocytes. LSEC are not only morphologically distinct EC, but they exert specialized functions in regulating liver immunity and inflammation, and by clearing a variety of blood factors from the circulation via endocytic receptors, such as the mannose receptor, CD32b, lymphatic vessel endothelial hyaluronan receptor 1 (LYVE‐1), Stabilin‐1, and Stabilin‐2 (Stab2). In addition, the microvascular niche of the liver sinusoids comprises Kupffer cells, i.e., sinusoidal macrophages, and hepatic stellate cells, which store vitamin A and may transdifferentiate upon liver injury to myofibroblasts, developing a cytoskeleton rich in alpha smooth muscle actin (ACTA2).19
With its dual blood supply and its highly specialized sinusoidal microvascular niche, the liver vasculature represents a paradigm of organotypic and segmental angiodiversity.20,21 Previously, we have shown that microvascular angiodiversity in the liver depends on a special LSEC differentiation program controlled by transcription factor GATA‐4. GATA‐4–dependent organ‐specific endothelial differentiation controls liver development and embryonic hematopoiesis.22 In the adult liver, LSEC control liver function and hepatic fibrogenesis by paracrine signaling via organotypic angiocrine factors.23 In particular, loss of portmanteau of the names Wingless and Int‐1 (Wnt) factors disrupts metabolic liver zonation, whereas de novo expression of endothelial platelet‐derived growth factor (PDGF) promotes stellate cell activation and fibrogenesis upon endothelial GATA‐4 deficiency in the adult liver. Within the hepatic vascular niche, however, the role of endothelial ALK1 signaling has not yet been comprehensively analyzed.
Here, we established a preclinical genetic HHT model featuring exclusive hepatic involvement and adequate life expectancy. Hepatic EC‐specific Alk1 deficiency caused development of massive hepatic vascular malformations and of shunting with increased blood flow as well as disruption of metabolic liver zonation. The organ‐specific GATA‐4–dependent vascular differentiation program was overruled by activation of angiogenesis and arterialization. Notably, we identified Prion‐Like Protein Doppel (PRND) and placental growth factor (PGF) as angiogenic molecules in the pathogenesis of HHT, indicating that ALK1 may inhibit an autocrine angiogenic feedforward loop in organotypic EC in the liver. In general, our data suggest that endothelial ALK1 signaling maintains vascular quiescence in the liver without compromising endothelial differentiation programs that generate and control organotypic angiodiversity and vascular heterogeneity along the different segments of the vascular tree. As a long‐term surviving preclinical HHT model, the Alk1HEC‐KO mouse line constitutes a powerful tool for analyzing the in vivo functions of hepatic endothelial ALK1 signaling, and it may also be used to develop and test targeted therapies for HHT.
PATIENTS AND METHODS
Ethical compliance
The experimental protocols used in this study complied with national and international ethical guidelines and, in case of animal models, were approved by the animal welfare commission of the Regierungspräsidium Karlsruhe (Karlsruhe, Germany).
Patients and controls
Each four liver samples of healthy individuals and those with HHT were provided by and in accordance with the regulations of the Tissue Biobank of the University Medical Center Mainz after approval by the local ethics committee (Ethik‐Kommission der Landesärztekammer Rheinland‐Pfalz, 837.146.17 [10980], as well as addendum 2018‐13857_1 and 2021–16,239 to B.K.S.). All experiments were carried out in accordance with the Declaration of Helsinki.24
Animal models
Female and male mice aged 1 to 12 months were used in this study. Mice were hosted under specific pathogen‐free conditions in single ventilated cages in a 12 h/12 h day/night cycle and fed ad libitum with a standard rodent diet (V1534‐000, Ssniff) with free access to water.
For the generation of hepatic endothelial conditional Acvrl1‐knockout mice, Stab2‐icreF3 mice (C57BL/6N‐Tg[Stab2‐icre]1.3Cger/Sgoe, Mouse Genome Informatics [MGI]: 6741034)25 were crossed with Acvrl1‐floxed mice (B6N.129‐Acvrl1tm2.1Spo, MGI: 4398901).26 Mice with the genotype Stab2‐icreF3tg/wt × Acvrl1fl/fl indicating homozygous recombination were denoted as Alk1HEC‐KO (alias Acvrl1HEC‐KO). Littermates with the genotypes Stab2‐icreF3wt/wt × Alk1fl/fl or Stab2‐icreF3wt/wt × Alk1fl/wt were used as controls. Alk1 knockout was confirmed by RNA‐sequencing (RNA‐seq) of isolated hepatic EC and by immunofluorescence of ALK1 target Endoglin.
Statistical analysis
Statistical analyses were conducted in R 3.6.1 (R Core Team), Prism 8 (GraphPad Software), or JMP 15.2.1 (SAS Institute). For sample size calculation, we suggested an α‐level of 0.05 and a β‐level of 0.2, whereas the power was adjusted for each experiment. Welch's t test, Mann–Whitney U test, and Fisher's exact test were used for statistical testing. A p value of <0.05 was considered statistically significant. The appropriate statistical test was chosen according to the requirements of each test (e.g., normal distribution). Normal distribution was assessed using the Shapiro–Wilk test.
Additional methodological details
For further information on materials and methods, please refer to the Supporting Data.
RESULTS
Adult Alk1HEC‐KO mice exhibit macroscopic hepatic vascular malformations
To investigate the pathophysiology of HHT in the liver, we generated a mouse model with hepatic endothelial Alk1 deficiency. Stab2‐promotor–controlled iCre‐mice (Stab2‐iCreF3)25 were crossed with mice exhibiting a floxed Acvrl1 (Alk1) gene.26Stab2‐icreF3tg/wt × Acvrl1fl/fl (Alk1HEC‐KO) mice showed a median life expectancy of 46 weeks and thus represent a valuable tool for HHT research (Figure S1A).
To assess the large hepatic vessels in 3‐month‐old Alk1HEC‐KO mice, we performed computed tomography (CT) with a contrast medium (ExiTron nano 6000) that is taken up by Kupffer cells of the liver resulting in long‐term x‐ray contrast. The basic liver vessel anatomy was conserved in Alk1HEC‐KO mice (Figure 1A); however, CT images showed diffuse parenchymal heterogeneity and numerous telangiectasias. The normalized area of detectable intrahepatic large vessels was significantly increased in Alk1HEC‐KO mice (Figure 1A,B). Measuring the diameters of the main hepatic vessels, we found that the diameters of the portal vein and most of its branches as well as the hepatic artery were not significantly affected compared to controls (Figure S1B–D). Moreover, there were no differences in portal blood flow between Alk1HEC‐KO and control mice (Figure S1E), indicating absence of portal hypertension. In contrast, the hepatic veins of Alk1HEC‐KO mice were significantly enlarged (Figure 1C), resulting in dilation of the vena cava beyond the confluence of hepatic veins (Figure 2A). Dilation of the hepatic veins and the vena cava indicates enhanced hepatic blood flow and represents a surrogate parameter for functional shunting of vessels within the liver.
FIGURE 1: Alk1 HEC‐KO mice exhibit a vascular parenchymal enhancement and dilated hepatic veins. (A) Computed tomography sections in sagittal, axial, and coronal planes (n = 5). (B) Quantification of intrahepatic large vessel density in (A) (n = 5). (C) Diameters of hepatic vein branches (n ≥ 4). Error bars: Mean with standard deviation. (B,C) Welch's t test. *p < 0.05; **p < 0.01; ***p < 0.001.
FIGURE 2: Posthepatic volume overload of the vena cava in Alk1 HEC‐KO mice. (A) Diameters of vena cava segments (n = 5). (B) Doppler sonography of vena cava before and after confluence of hepatic veins (n ≥ 5). (C–E) Blood flow velocity in vena cava before and after confluence of hepatic veins (n ≥ 5). HV, hepatic vein; VC, vena cava. Error bars: Mean with standard deviation. (A,C–E) Welch's t test. *p < 0.05.
Increased posthepatic vena cava flow entails volume overload of the right ventricle in Alk1HEC‐KO mice
As we observed dilation of the posthepatic vena cava in Alk1HEC‐KO mice by CT imaging, we examined vena cava blood flow using Doppler ultrasonography in 6‐month‐old mice. Blood flow in the posthepatic vena cava of Alk1HEC‐KO mice was significantly increased as compared to controls, whereas the prehepatic vena cava was unaltered (Figure 2B–D), yielding an increased post/prehepatic vessel flow gradient (Figure 2E). Color‐coded Doppler analyses of the liver confirmed the increase in large vessels within the liver parenchyma (Figure S2). Altogether, our data confirm functional shunting in the liver of Alk1HEC‐KO mice.
To investigate whether hepatic malformations and increased vena cava flow affect cardiac function in Alk1HEC‐KO mice, we performed echocardiography of 6‐month‐old animals. Both the right ventricular systolic area and the right ventricular diastolic area were significantly increased in Alk1HEC‐KO mice, whereas the right ventricular fractional area change was not affected (Figure S3A–D). On the contrary, the left ventricular systolic area, the left ventricular diastolic area, and the left ventricular fractional area change as well as the heart rate were not significantly altered in Alk1HEC‐KO mice (Figure S3E–J). In conclusion, these findings indicate volume overload of the right heart with preserved right heart function in Alk1HEC‐KO mice.
Abnormal hepatic vascular differentiation in Alk1HEC‐KO mice
We sacrificed 3‐month‐old Alk1HEC‐KO mice to dissect histological changes upon hepatic Alk1 deficiency. Macroscopically, livers from Alk1‐deficient mice exhibited small but dilated superficial blood vessels, whereas the liver surface did not reveal signs of liver fibrosis (Figure 3). Moreover, the liver‐to‐body‐weight ratio was not altered in Alk1HEC‐KO mice (Table S1). Microscopically, the central veins were dilated in Alk1HEC‐KO mice, whereas we did not notice necrotic areas or fibrosis upon hematoxylin and eosin or Sirius Red staining, respectively (Figure 3B). Notably, dilatation of hepatic vessels evolved during maturation, i.e., dilatation was minimal in 1‐month‐old mice (Figure S4A), whereas the degree of vascular dilatation was similar in 3‐month‐old and in 6‐month‐old mice (Figure 3B, Figure S4B). On the contrary, neither necrotic areas nor fibrotic changes developed in older animals (Figure S4A,B). Basic plasma parameters revealed no fundamental alterations, and liver function tests were largely normal (Table S1).
FIGURE 3: Alk1 deficiency causes disturbed hepatic vessel architecture. (A) Macroscopic images of livers (n ≥ 7). (B) Hematoxylin and eosin (H&E) and Sirius Red staining of livers (n ≥ 7). (C) Immunofluorescence staining of livers for Endomucin (EMCN) and Endoglin, EMCN and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE‐1), and CD31 and alpha‐SMA (ACTA2) (n = 5). (A) Scale bar: 5 mm; (B,C) scale bars: 100 μm.
Upon immunohistochemical analysis, we noticed loss of Endoglin, a coreceptor of ALK1 and target gene of ALK1 signal transduction, indicating loss of ALK1 function in Alk1HEC‐KO mice (Figure 3C). Notably, the hepatic vascular structures in Alk1HEC‐KO mice appeared irregular and distended. Overall, an increase of continuous endothelial marker endomucin (EMCN) was seen, whereas LSEC marker LYVE‐1 was reduced (Figure 3C). Regarding ECM molecules, we could not detect altered deposition of COL4A1 along the hepatic sinusoids in Alk1HEC‐KO mice; however, COL4A1 staining highlighted distorted, slit‐like sinusoids (Figure S5A,B). Expression of LAMC1 and COL18A1 was significantly enhanced in the space of Disse in the livers of 3‐month‐old Alk1HEC‐KO mice (Figure S5A–D). In the livers of 6‐month‐old Alk1HEC‐KO mice, perisinusoidal expression of LAMC1 was enhanced in three out of four mice with one outlier showing the same level of expression as the controls, accounting altogether for the statistically nonsignificant results. Perisinusoidal COL18A1 was significantly enhanced regarding fluorescence intensity but not area stained (Figure S5A–D). Transmission electron microscopy revealed local thickening of LSEC and focal deposition of amorphous collagenous material in the space of Disse in the livers of Alk1HEC‐KO mice, whereas sparsely distributed discrete collagen bundles were found in the space of Disse in both Alk1HEC‐KO and control mice. Throughout the sinusoidal network, fenestrations were preserved and a continuous basal lamina did not develop beneath the LSEC cell layer (Figure S5E), indicating aberrant sinusoidal differentiation, but not full capillarization. In addition, we observed LYVE‐1–positive, thin‐walled, elongated vessels that were negative for blood vascular endothelial markers CD31 or EMCN and thus seemed to represent lymphatic vessels (Figure 3C). Furthermore, Alk1‐deficient mice exhibited numerous α‐SMA (ACTA)‐positive large vessels, i.e., arteries and veins, within the liver parenchyma (Figure 3C).
Hepatic EC undergo arterialization in Alk1HEC‐KO mice
To reveal the underlying transcriptomic alterations in hepatic EC of Alk1‐deficient mice, we isolated hepatic EC of 3‐month‐old Alk1HEC‐KO mice and subsequently performed bulk RNA‐seq. Hierarchical clustering and principal component analysis revealed good reproducibility for all five samples within the two groups of hepatic EC from Alk1HEC‐KO and control mice (Figure S6A). Exon‐specific analysis of the Acvrl1 locus demonstrated successful recombination of exons 4 to 6, confirming Alk1 deficiency in hepatic EC (Figure S6B,C).
Using the processed data, 1369 genes were significantly downregulated, whereas 1596 genes were significantly upregulated using a false discovery rate (FDR) cutoff of 0.05 (Figure 4A). We used hepatic endothelial gene sets identified by single cell RNA‐seq27 to decipher differentiation of EC in Alk1HEC‐KO mice. Hepatic EC differentiation shifted from sinusoidal, i.e., LSEC, and capillary venous, i.e., central vein, as well as large vein differentiation toward capillary arterial and large arterial differentiation in Alk1HEC‐KO mice (Figure 4A). Besides, genes defining lymphatic EC were upregulated upon Alk1 deficiency, confirming our observation of excessive lymphatic vessels seen upon immunofluorescence (Figure 4A). To independently confirm these findings, we also employed periportal and pericentral endothelial gene sets identified by single cell RNA‐seq.28 As expected, the pericentral endothelial gene set was significantly reduced in Alk1HEC‐KO mice, whereas the periportal endothelial gene set was upregulated, indicating that hepatic endothelial zonation was impaired at the expense of LSEC and central venous identities (Figure 4A).
FIGURE 4: Arterialization of hepatic vessels and loss of pericentral genes in
Alk1 HEC‐KO mice. (A) Heatmap of significantly regulated genes in RNA‐sequencing (RNA‐seq) data of hepatic endothelial cells with annotation for gene sets from Kalucka et al.
27 and Halpern et al.
28 (
n = 5). (B,C) Gene set enrichment analysis (GSEA) of RNA‐seq data using (B) the Kyoto Encyclopedia of Genes and Genomes (KEGG) database (
n = 5) and (C) Molecular Signatures Database (MSigDB) hallmark gene sets (
n = 5). (D) Overrepresentation analysis (ORA) for significantly regulated genes using the Gene Ontology biological processes gene sets (
n = 5). (E) Heatmap for stalk‐ and tip cells marker genes
30 with annotation of significance in RNA‐seq data of hepatic endothelial cells from
Alk1 HEC‐KO mice (
n = 5).
Alk1 deficiency activates proangiogenic pathways in hepatic EC
Next, we performed unbiased gene set enrichment analyses (GSEA) to identify pathways and biological processes controlled by ALK1 signaling in the liver vasculature. Enrichment for the Kyoto Encyclopedia of Genes and Genomes pathways yielded significant (FDR < 0.05) enrichment of 47 gene sets (Figure 4B). Among these, all 15 gene sets belonging to the metabolism category were downregulated, indicating a fundamental transformation in basic EC metabolism (Figure 4B). Notably, carbohydrate, amino acid, and fat metabolism were affected (Figure 4B).
The angiogenesis‐related pathways Apelin (Apln)‐ and Phosphoinositide 3‐kinase (PI3K)‐Akt‐signaling were found among the five significant gene sets of the environmental information processing category (Figure 4B), which is in line with data from Ola et al., who showed that Alk1 deletion in human umbilical vein EC induced PI3K signaling.29 Furthermore, we used the hallmark gene sets from Molecular Signatures Database for GSEA (Figure 4C). Among the most strongly regulated gene sets, we identified mitotic spindle genes, Myc targets, and angiogenesis as interesting gene sets that are linked with cell proliferation (Figure 4C). Overrepresentation of significantly regulated genes in Alk1HEC‐KO mice using the Gene Ontology library revealed gene sets that comprised ECM organization, vascular development, and, again, angiogenesis (Figure 4D).
Alk1 deficiency supports a proangiogenic tip cell phenotype in hepatic EC
Because we found angiogenesis among the activated gene sets in Alk1HEC‐KO mice, we asked whether loss of Alk1 favors tip or stalk cell identity in hepatic EC. To this end, we used tip and stalk cell phenotype genes30 and analyzed these gene sets in liver endothelial Alk1HEC‐KO RNA‐seq data. Interestingly, about 65% of all genes belonging to either gene set were significantly regulated, indicating a major effect of Alk1 deficiency on genes regulated during angiogenesis (Figure 4E). Comparing stalk cell and tip cell genes, tip cell genes were enriched in Alk1HEC‐KO hepatic EC, whereas expression of stalk cell genes was reduced (Figure 4E). Apln and Esm1, two well‐established tip cells markers, showed de novo expression in Alk1HEC‐KO liver samples and colocalized with Cdh5‐positive liver EC (Figure S7A,B). These findings were further supported by quantitative polymerase chain reaction (qPCR) analysis of isolated LSEC (Figure S7C). Thus, our data confirm the concept that ALK1 is necessary to support stalk cell differentiation during the transition from angiogenesis to vascular quiescence.31
Proangiogenic angiocrine signaling in Alk1HEC‐KO mice
Focusing on the 20 most strongly up‐ and downregulated genes in EC from Alk1HEC‐KO mice, we identified Prnd and Pgf as angiocrine, proangiogenic candidate genes (Figure 5A). qPCR validated the significant upregulation of Prnd and Pgf in hepatic EC with Alk1 deficiency (Figure 5B). In situ hybridization (ISH) confirmed de novo expression of Prnd and Pgf in Alk1‐deficient hepatic EC in liver tissue (Figure 5C,D), and fluorescent ISH revealed colocalization of Prnd and Pgf with Cdh5‐positive liver EC (Figure 5E). Notably, placental growth factor 2, the secreted protein originating from the Pgf gene, showed significantly elevated plasma levels in Alk1HEC‐KO mice as measured by enzyme‐linked immunosorbent assay (Figure 5F).
FIGURE 5: Induction of proangiogenic factors including prion‐like protein doppel (Prnd) and placental growth factor (Pgf) in Alk1‐deficient mice. (A) Heatmap of top 20 upregulated and downregulated genes ordered by fold change in isolated hepatic endothelial RNA (n = 5). (B) Quantitative polymerase chain reaction (qPCR) for identified proangiogenic factors Prnd and Pgf using isolated hepatic endothelial RNA (n = 5). (C) In situ hybridization for Prnd and Pgf in mouse liver (n = 6). (D) Quantification of in situ hybridizations in (C) (n = 6). (E) Fluorescent in situ hybridization for Prnd or Pgf costained with Cdh5. (F) Enzyme‐linked immunosorbent assay for placental growth factor (PlGF)‐2 of blood serum (n = 8). Scale bars: 100 μm. Error bars: mean with standard deviation. (B,D) Mann–Whitney U test; (F) Welch's t test. **p < 0.01; ***p < 0.001.
Metabolic liver zonation is disrupted in Alk1HEC‐KO mice
When filtering the significantly dysregulated genes in EC from Alk1HEC‐KO mice for angiocrine factors, Wnt2, Wnt9b, and R‐spondin‐3 (Rspo3) turned out to be significantly downregulated as validated by qPCR (Figure 6A,B). Moreover, the well‐known LSEC angiokine Bmp232 was also significantly reduced in Alk1HEC‐KO livers, whereas no changes in hepatocyte growth factor expression were found (Figure S8A). As angiocrine factors Wnt2, Wnt9b, and Rspo3 are physiologically expressed in central vein EC and pericentral LSEC, we used ISH to confirm RNA‐seq data and qPCR results. ISH revealed a significant loss of Wnt2, Wnt9b, and Rspo3 in pericentral liver EC in Alk1HEC‐KO mice (Figure 6C, Figure S8B). Based on these findings, we hypothesized that loss of pericentral angiocrine signaling in Alk1HEC‐KO mice might cause disruption of metabolic liver zonation. Therefore, we performed immunofluorescence staining for zonated proteins, glutamine synthetase (GLUL) and arginase. GLUL expression was extinguished in Alk1HEC‐KO livers, whereas arginase expression was extended, comprising pericentral hepatocytes (Figure 6D). Moreover, pericentral Rh Family B Glycoprotein expression was lost, whereas periportal GLS2 and HAL expression was increased (Figure S9A,B). Both aberrant sinusoidal endothelial differentiation and altered metabolic liver zonation patterns displayed a progressive phenotype with age, as supported by gradually increasing expression of EMCN and decreasing expression of LYVE1 and GLUL in the livers of 1‐, 3‐ and 6‐month‐old Alk1HEC‐KO mice (Figure S9C,D, Figure 6D, Figure 3C).
FIGURE 6: Loss of endothelial Wnt factors correlates with disrupted metabolic zonation in
Alk1 HEC‐KO mice. (A) Heatmap of significantly dysregulated angiocrine factors
23 in isolated hepatic endothelial RNA (
n = 5). (B) Quantitative polymerase chain reaction (qPCR) for
Wnt2,
Wnt9b, and R‐spondin‐3 (
Rspo3) using isolated hepatic endothelial RNA (
n = 5). (C) In situ hybridization for
Wnt2,
Wnt9b, and
Rspo3 in livers (
n ≥ 4). (D) Immunofluorescent staining of glutamine synthetase (GLUL) and arginase (ARG) in livers (
n = 5). (E) Heatmap of significantly dysregulated genes in whole liver RNA‐sequencing (RNA‐seq) data (
n = 5). Genes are also annotated for the zone in which the genes are expressed in wild‐type livers using published single cell RNA‐seq data.
33 (F) Enrichment for pericentral (
p < 0.001; normalized enrichment score [NES] = −2.97) and periportal (
p < 0.001; NES = 2.57) genes
33 in whole liver RNA‐seq data. Scale bars: 100 μm. Error bars: Mean with standard deviation. (B) Mann–Whitney
U test. Wnt, portmanteau of the names Wingless and Int‐1. **
p < 0.01.
In a broader approach to decipher metabolic liver zonation in Alk1HEC‐KO mice, we investigated the transcriptome of whole liver samples using RNA‐seq. We found 48 genes that were significantly dysregulated in Alk1HEC‐KO mice (Figure 6E, Figure S9E). Using publicly available single cell data sets providing zone‐specific gene expression sets for nine layers of hepatocytes ranging from pericentral to periportal,33 we found that all significantly downregulated genes in whole liver samples from Alk1HEC‐KO mice are physiologically found in the pericentral area revealing fundamental impairment of pericentral hepatocyte differentiation (Figure 6E). Notably, among the significantly upregulated genes from whole liver bulk RNA‐seq, we detected numerous genes associated with continuous endothelial differentiation and angiogenesis such as Apln, Emcn, and CD34 (Figure 6E). In another approach, we performed GSEA of our transcriptomic whole liver data using pericentral and periportal gene sets defined by filtering published single cell RNA‐seq data from Halpern et al.33 GSEA confirmed the significant loss of pericentral genes and upregulation of periportal genes in Alk1HEC‐KO mice (Figure 6F).
ALK1 counter‐regulates proangiogenic and organotypic angiocrine signaling in LSEC in vitro
In order to gain deeper mechanistic insight into the regulation of liver endothelial differentiation and function, we performed in vitro experiments using murine LSEC isolated from wild‐type mice. ALK1 signaling was induced by stimulation with BMP9 and BMP10, whereas inhibition was achieved using a soluble ALK1‐FC fusion protein. Stimulation of LSEC with BMP9, and to a lesser extent with BMP10, caused upregulation of the major ALK1 downstream transcriptional targets, inhibitors of DNA binding (ID)1–3 (Figure 7), whereas inhibition of ALK1 signaling by Alk1‐FC resulted in downregulation of expression of ID1–3 genes. Wnt ligands Wnt2, Wnt9b, and Rspo3 were similarly upregulated upon BMP9 stimulation, whereas inhibition of ALK1 signaling caused significant mRNA overexpression of proangiogenic angiokine Pgf and vascular endothelial growth factor receptor (VEGFR)‐2 coreceptor Prnd (Figure 7A). In addition, simultaneous stimulation of LSEC by BMP9 and by AGX51, an inhibitor of ID1–3 protein function, caused significant downregulation of Wnt2 and Rspo3 expression levels (Figure 7B). These data support the hypothesis that Wnt ligands and proangiogenic angiocrine factors Prnd and Pgf are regulated along the ALK1/ID1–3 signaling axis in hepatic EC.
FIGURE 7: ALK1 signaling enhances expression of Wnt factors and suppresses transcripts of prion‐like protein doppel (Prnd) and placental growth factor (Pgf). (A) Wild‐type (Wt) liver sinusoidal endothelial cells (LSEC) were stimulated in vitro with bone morphogenetic protein (BMP)‐9, BMP‐10, and ALK1‐FC followed by quantitative polymerase chain reactions (qPCRs) for known ALK1 targets Id1, Id2, and Id3; Wnt factors Wnt2, Wnt9b, and R‐spondin‐3 (Rspo3); and proangiogenic factors Prnd and Pgf (n ≥ 3). (B) Wt LSEC were stimulated in vitro with BMP‐9, BMP‐9, Pan‐ID antagonist AGX51, and transforming growth factor (TGF)‐β1 followed by qPCRs for Wnt2 and Rspo3 (n = 4). (A) One‐way ANOVA followed by Dunnett's multiple comparisons test. (B) One‐way ANOVA followed by Tukey's multiple comparisons test. Wnt, portmanteau of the names Wingless and Int‐1. *p < 0.05; **p < 0.01; ***p < 0.001; **** p < 0.0001.
Hepatic angiodiversity and angiocrine functions are impaired in human HHT liver specimens
To confirm the findings in Alk1HEC‐KO mice in human HHT, we analyzed liver samples of four patients with HHT (Table S2) who had undergone liver transplantation and compared them to archival, disease‐free liver tissue. Human HHT livers exhibited an irregular vessel architecture within the liver parenchyma showing increased expression of continuous EC marker CD34 and reduced expression of LSEC marker CD32b (Figure 8A). Conversely, expression of GLUL was lost in human HHT liver samples (Figure 8A). These findings in human liver HHT thus well reflect the findings in our preclinical HHT mouse model.
FIGURE 8: Loss of metabolic zonation in human hereditary hemorrhagic telangiectasia (HHT) samples of the liver. (A) Immunofluorescence staining for CD34, CD32b, and glutamine synthetase (GLUL) in livers from patients with HHT and healthy individuals (
n = 4). Scale bars: 100 μm. (B) Graphical summary of results in this study. Created with
BioRender.com.
DISCUSSION
In this study, we have established a genetic mouse model to study HHT of the adult liver making use of Stab2‐driven hepatic EC‐specific knockout of Acvrl1 (Alk1HEC‐KO mice). Hepatic endothelial Alk1 deficiency caused replacement of organ‐specific liver sinusoidal endothelial differentiation as well as impairment of large vessel differentiation by induction of angiogenesis as well as of arterialization and shunt formation in the hepatic vascular system (Figure 8B). In general, our findings indicate that ALK1 signaling is indispensable to induce and maintain vascular quiescence without interfering with organ‐specific molecular mechanisms of microvascular angiodiversity or with macrovascular angiodiversity along the different segments of the vascular tree.
The hepatic vasculature of Alk1HEC‐KO mice was irregular and showed effacement of the typical organ‐specific angiodiversity. LSEC marker genes were lost and continuous EC marker genes such as EMCN and CD31 were induced, indicating aberrant sinusoidal endothelial differentiation. Disruption of sinusoidal differentiation often entails liver fibrosis. Hepatic endothelial Alk1 deficiency indeed caused increased sinusoidal deposition of ECM proteins LAMC1 and COL18A1; however, it did not result in full sinusoidal capillarization or subsequent liver fibrosis in our mouse model. It may be hypothesized that turbulences originating from the distorted slit‐like sinusoids seen in the livers of Alk1HEC‐KO mice could entail perisinusoidal ECM deposition. Our findings partly reflect the study by Desroches‐Castan et al.; however, conflicting results have also been reported and may derive from confounding factors due to the different genetic backgrounds in the various models used.11,15,16 Apart from disturbed blood vessel formation, we observed increased intrahepatic lymph vessels confirming the view that ALK1 does not only control blood but also lymph vessel angiogenesis.34
Apart from aberrant sinusoidal differentiation, hepatic endothelial Alk1 deficiency impaired organ‐specific angiocrine Wnt signaling (Wnt2, Wnt9b, Rspo3) by LSEC and central vein EC, causing disruption of metabolic liver zonation. Previously, we and others have shown that angiocrine Wnt signaling is necessary to establish metabolic liver zonation.35,36 Nevertheless, the role of Wnt signaling in HHT has hitherto remained elusive, although metabolic liver zonation and angiocrine Wnt signaling have been shown to be disturbed in several pathological liver conditions including liver fibrosis/cirrhosis.37,38 Furthermore, it is still a question of debate whether angiocrine Wnt signaling is decreased in these pathological conditions due to increased blood flow, reduced oxygen supply, altered signal cascades, or a combination thereof.38
On the other hand, hepatic endothelial Alk1 deficiency induced de novo expression of angiogenic molecules Prnd and Pgf. Prnd and Pgf are both known to be involved in tumor angiogenesis in various tumors, including hepatocellular carcinoma.39,40 Notably, both genes are physiologically expressed during liver development and are shut off around birth. PRND is a cell surface protein that stabilizes VEGFR‐2 expression in the cell membrane and promotes angiogenesis. PRND has been reported to be inhibited using synthetic glycosaminoglycans in tumor angiogenesis.41 Therefore, inhibition of PRND in HHT may be a promising approach to HHT therapy.
For PGF, diverse endothelial and nonendothelial functions have been described.39 PGF is secreted from different cellular sources and binds to VEGFR‐1 replacing vascular endothelial growth factor (VEGF)‐A; increased availability of VEGF‐A at VEGFR‐2 then causes enhanced angiogenesis. In addition, the proangiogenic effect of PGF may be mediated by activating Neuropilin‐1 and ‐2. Moreover, PGF is also able to induce other angiogenic factors including VEGF, fibroblast growth factor‐2, and PDGF‐B. On the other hand, PGF enhances proliferation, migration, and survival of macrophages that release angiogenic and lymphangiogenic factors. Notably, it has also been described that PGF promotes arterial vessel differentiation.42 In this respect, it has been a question of debate whether ALK1 signaling promotes arterial or venous vessel differentiation.43 Our transcriptomic approach combined with published single cell data showed an increase of arterial transcripts. As the hepatic vasculature, however, is unique, variant responses to endothelial Alk1 deficiency in the vasculature of different organs may be explained by interorgan microvascular and macrovascular angiodiversity.
Imaging results of patients with HHT with liver involvement resemble the parenchymal enhancement pattern as seen upon CT of Alk1HEC‐KO mice at 3 months of age.44 In our HHT model, we observed functional shunting entailing volume overload of the right heart and dilatation of the vena cava. Our results, however, bear some limitations due to the CT technique used that does not allow for visualizing shunts directly and distinguishing between different types of shunts (arteriovenous, arterioportal, portovenous). Furthermore, Alk1HEC‐KO mice exhibited neither dilated hepatic artery and dilated portal vein nor increased portal venous flow. Thus, we cannot easily reconcile that patients with HHT with liver involvement often display dilated hepatic artery and portal hypertension44 because sonographic assessment of these parameters did not suggest portal hypertension caused by endothelial loss of Alk1. Time course differences might serve as an explanation because severe HHT in patients develops only slowly over many years, whereas our preclinical model was analyzed at 3 months of age shortly after maturation.
The remarkable similarities between our murine HHT model and the human disease confirm that Alk1HEC‐KO mice represent a valuable tool to study HHT development in the liver and to develop and validate treatment strategies at different stages of disease development. At late stage HHT, heart failure is a severe complication due to liver shunting and volume overload which is also reflected by our HHT model. The pathophysiological processes leading to heart failure in HHT are clinically highly relevant and should be scrutinized in follow‐up studies.
AUTHOR CONTRIBUTIONS
Conceptualization, Christian David Schmid, Victor Olsavszky, Manuel Reinhart, Philipp‐Sebastian Koch, Sergij Goerdt; investigation, Christian David Schmid, Victor Olsavszky, Manuel Reinhart, Vanessa Weyer, Felix A. Trogisch, Manuel Winkler, Sina W. Kürschner, Theresa Staniczek, Joerg Heineke, Kai Schledzewski, Jens Mittler, Karsten Richter; data curation, Christian David Schmid, Carsten Sticht; writing – original draft, Christian David Schmid, Victor Olsavszky, Philipp‐Sebastian Koch, Sergij Goerdt; writing – review and editing, all authors; visualization, Christian David Schmid, Victor Olsavszky, Manuel Reinhart, Vanessa Weyer, Felix A. Trogisch; supervision, Cyrill Géraud, Philipp‐Sebastian Koch, Sergij Goerdt; funding acquisition, Victor Olsavszky, Manuel Winkler, Cyrill Géraud, Philipp‐Sebastian Koch, Sergij Goerdt.
ACKNOWLEDGMENTS
We thank Stephanie Riester, Hiltrud Schönhaber, Christof Dormann, Sina Göpel, and Carolina de la Torre for excellent technical support. We are grateful to Dr. Paul Oh (University of Florida College of Medicine) for providing Alk1 floxed mice. Human tissues were kindly provided by the tissue biobank of the University Medical Center Mainz. Open Access funding enabled and organized by Projekt DEAL.
FUNDING INFORMATION
The authors gratefully acknowledge the data storage service [email protected] supported by the Ministry of Science, Research and the Arts Baden‐Württemberg and the German Research Foundation (DFG) through grant INST 35/1314–1 FUGG and INST 35/1503–1 FUGG. This work was supported by the Deutsche Forschungsgemeinschaft, Germany (DFG, German Research Foundation), project numbers: 259332240 – RTG/GRK 2099; 394,046,768 – CRC/SFB 1366; 314,905,040 – CRC/SFB‐TR 209; 413,262,200 – ICON/EB 187/8–1.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
DATA AVAILABILITY STATEMENT
The RNA‐seq data have been deposited in NCBI’s Gene Expression Omnibus (GEO) and are accessible through GEO Series accession number GSE184748 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184748); reviewer token: wrijakuqvbqxdqj.
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