Abstract
Age-related macular degeneration (AMD) is a common, blinding disease of the elderly in which macular photoreceptor cells, retinal pigment epithelium, and choriocapillaris endothelial cells ultimately degenerate. Recent studies have found that degeneration of the choriocapillaris occurs early in this disease and that this endothelial cell dropout is concomitant with increased deposition of the complement membrane attack complex (MAC) at the choroidal endothelium. However, the impact of MAC injury to choroidal endothelial cells is poorly understood. To model this event in vitro, and to study the downstream consequences of MAC injury, endothelial cells were exposed to complement from human serum, compared to heat inactivated serum which lacks complement components. Cells exposed to complement components in human serum showed increased labeling with antibodies directed against the MAC, time and dose dependent cell death as assessed by lactate dehydrogenase assay, and increased permeability. RNA-Seq analysis following complement injury revealed increased expression of genes associated with angiogenesis including matrix metalloproteases (MMPs) 3 and 9, and VEGF-A. The MAC-induced increase in MMP9 RNA expression was validated using C5 depleted serum compared to C5 reconstituted serum. Increased levels of MMP9 were also determined using Western blot and zymography. These data suggest that, in addition to cell lysis, complement attack on choroidal endothelial cells promotes an angiogenic phenotype in surviving cells.
Keywords: age-related macular degeneration, complement system, endothelial cells, matrix metalloproteinases
INTRODUCTION
Age-related macular degeneration (AMD) is a complex, debilitating disorder that affects central vision. The prevalence of advanced AMD is estimated to be almost 1 in 8 in the elderly population (> 80 years of age) [1], with major differences in prevalence between different populations [1–3]. The damage to the macula in advanced AMD occurs through either atrophic changes of the retinal pigment epithelium (RPE), underlying choriocapillaris, and/or retina; or angiogenic responses of choriocapillaris endothelial cells (ECs) with migration into the RPE and/or neural retina. The events leading to the activation of the neovascular form of the disease are poorly understood.
Current insights into the pathogenesis of AMD include roles for EC dropout and aberrant complement system regulation. Loss of choriocapillaris ECs in early AMD is correlated with the presence and density of drusen, extracellular deposits that form between the RPE and choriocapillaris [4]. Drusen tend to form over the extracellular matrix domains between capillary lobules [5] and in areas of low vascular density [4]. Perfusion decreases in association with extent of drusen [6] and choroidal thinning has been described in AMD [7,8], most notably, advanced atrophic AMD[9]. In addition, whole mount studies of eyes with advanced AMD have shown that death of choriocapillaris ECs occurs at the leading edges of neovascular membranes [10]. This unexpected relationship between dropout of the normal endothelium and abnormal growth of adjacent ECs into the retina of the same eyes suggest a complex disruption of hypoxia and perfusion [11].
Aberrant complement activation is also proposed to play an important role in AMD [12,13]. Polymorphisms in genes encoding members of the complement system are strongly associated with increased risk of early and advanced AMD [12,13], particularly in the complement factor H (CFH) gene [14–17]. Human eyes genotyped for this polymorphism have increased levels of C-reactive protein [18] and the complement membrane attack complex (MAC) [19]. Interestingly, the distribution of the MAC itself is consistent with potential EC injury, showing primary localization to domains surrounding the choriocapillaris [4,17,20–22]. The abundance of the MAC increases both during normal aging and in AMD [22]. Thus, the MAC could reasonably injure choriocapillaris ECs, either lytically or sublytically.
In this report, we activated complement from human serum on the surface of the RF/6A choroidal EC line and evaluated cell injury and changes in gene expression. ECs responded to complement injury by upregulating expression of classes of genes associated with angiogenesis. These findings link MAC injury with the histologically observed spectrum of responses, ranging from cell death to angiogenesis, seen in AMD.
METHODS
Immunohistochemistry and immunoEM
Human donor eyes were selected from a research eye collection. All samples in this collection were obtained after full consent of the donors’ families and in accordance with the Declaration of Helsinki. For some experiments, macular sections from 3 donors were labeled with Ulex europaeus agglutinin-I (Vector Laboratories) and antibodies directed against the C5b-9 MAC (Dako), as described previously[4], and were imaged using a confocal microscope (DM 2500 SPE, Leica Microsystems).
For immunoEM, juxtamacular punches of RPE-choroid from three donors (ages 79 and 84 without known ocular disease, and age 66 with a macular neovascular membrane) were fixed in 4% paraformaldehyde in PBS, dehydrated, and embedded in LR White resin (Electron Microscopy Sciences) and cured with ultraviolet light on ice, according to the manufacturer’s instructions. Thin sections were collected on formvar coated grids, and sections were blocked in a solution of 5% Bovine Serum Albumin-c (BSA, Electron Microscopy Sciences) with 3% goat serum (Sigma) and 0.1% cold water fish skin gelatin (Electron Microscopy Sciences). Sections were then rinsed, and incubated overnight with anti-MAC antibody. Sections were washed and incubated with goat anti-mouse IgG conjugated to 1nm gold, rinsed, crosslinked with 2% glutaraldehyde, and washed again prior to silver enhancement (Electron Microscopy Sciences) according to the manufacturer’s instructions.
Cell cultures and injury model
Human serum, complement C5 from human serum and complement C5-deficient human serum used in this experiment were purchased from Sigma-Aldrich (St. Louis, MO). To inactivate complement, serum was heated in a water bath at 56°C for 1 hour. For some experiments, complement was inactivated using cobra venom factor (CVF; Quidel) at a concentration of 80 units of CVF per 1 ml of 50% human serum, and the solution was incubated for 30 minutes at 37°C before being added to the cells. In addition, for some experiments C5-deficient serum (which is unable to form the MAC) or C5-deficient serum reconstituted with 75μg/mL C5 was used as a source of complement.
The chorioretinal EC line (RF/6A) was purchased from the American Type Culture Collection (ATCC) and cultured in Dulbecco’s modification of Eagle media (DMEM, Invitrogen) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin (PS, Life Technologies). After cells reached 80%-90% confluency in T75 cm2 flasks, cells were trypsinized and seeded into 12-well clusters (Corning) at a density of 1×105 cells per well in a volume of 1 mL and grown in 10% FBS DMEM and 1% PS at 37°C for 40–48 hours. The cells were washed with FBS-free DMEM twice.
To study the effects of complement activation on ECs, cells were then treated with different concentrations of human serum ranging from 5% to 100% at 37°C for 2, 4, and 24 hours. Cells were exposed to either normal serum (complement-intact) or heat inactivated serum (“HIS”, complement-deficient). All steps were performed at 37°C with 5% CO2 and 90% humidity.
Immunocytochemistry
In order to verify that the MAC was activated on the surface of ECs exposed to normal serum, HIS, C5-deficient serum, or C5 reconstituted serum, additional cells from each experiment were grown on glass coverslips or chamber slides and exposed to identical conditions as the cells used for biochemical studies. Following incubation, cells were then fixed in 4% paraformaldehyde and labeled with antibodies directed against human MAC (Dako antibody AE9), visualized with Alexa-488 conjugated anti-mouse secondary antibodies (Invitrogen).
Quantification of cell lysis
In order to determine the susceptibility of choroidal endothelial cells to lysis after activation of complement, we performed a cell viability assay following treatment with either serum-free media, normal human serum, HIS, C5-deficient serum, or C5-deficient serum reconstituted with C5, by quantifying lactate dehydrogenase (LDH) released into the medium by lysed RF/6A cells as described previously [23]. Triton X-100 was used as a positive control to determine the abundance of LDH released following 100% lysis. LDH release was quantified using the cytotoxicity detection kit (Roche Diagnostics Corp., Indianapolis, IN) and expressed as relative cell death, compared to Triton X-100. Experiments were performed in triplicate.
Quantification of permeability
Horseradish peroxidase (HRP; Sigma-Aldrich, St. Louis, MO) was used to measure the permeability of RF/6A monolayers after complement treatment. The procedure was performed as previously described by Chen et al. [24]. RF/6A cells (5 × 105) in 200μL of 5% FBS DMEM medium with 1% penicillin/streptomycin (Life Technologies Corporation) were plated on a Transwell tissue culture insert with 0.4 μm pores (Corning, New York, NY) and the lower chamber was filled with 800μL medium. The monolayers were allowed to reach confluency and were then treated with (a) different concentrations of human serum (5%–100%); (b) 5% HIS; or (c) serum-free DMEM. Each group was evaluated in triplicate. After treatment, HRP (50 μg/mL) was added to the upper chambers. After 30 min, 5 μL were withdrawn from each well were assayed for HRP activity as described previously [24]. To quantify cell permeability, an HRP standard curve was first prepared using serial dilutions of HRP. Cell permeability was calculated as Flux (mL/cm2) as described previously. Experiments were performed in triplicate.
Evaluation of gene expression changes
Following 4 hours of acute complement injury (serum concentration 50%), gene expression changes were evaluated using RNA-Sequencing [25]. Endothelial cells injured with MAC (n=3 wells/comparison) were compared to cells exposed to HIS (n=3). The presence of activated MAC was observed on cells exposed to serum, but not control cells, as described above. Total RNA was isolated using the RNeasy kit (Qiagen, Valencia, CA).
RNA quality control and sequencing were performed at the Genomics Division of the Iowa Institute of Human Genetics at The University of Iowa. RNA quality was determined on a Bioanalyzer (Agilent Technologies, Santa Clara, CA) and samples with an RNA Integrity Number of greater than 9 were employed. Briefly, the TruSeq RNA Sample Preparation v2 Library preparation kit (Illumina, Cat. #15026495) was employed to generate libraries for sequencing on the HiSeq 2000 platform according to the manufacturer’s instructions. Three hundred nanograms of total RNA were fragmented, converted to cDNA and ligated to sequencing adaptors containing barcodes. Libraries were validated and normalized, and pooled samples were then sequenced using a 2 × 100 nt paired-end run on a HiSeq 2000.
Bioinformatics
Read alignment was performed using Tophat (ver. 2.0.7) to Macaca mulatta genome build Mmul_1 (Illumina iGenomes; http://support.illumina.com/sequencing/sequencing_software/igenome.ilmn). Tophat2 was run with inner mate pair distance (-r) set to 150, no coverage search specified, and library type set to “fr-unstranded”. Transcript definitions (i.e., GTF) used were those provided in the iGenomes bundle. Junction mapping and transcript abundance was calculated using Cufflinks (ver. 2.1.1) [26] with max-bundle-frags set to 20,000,000. Differential expression was calculated using Cuffdiff (ver. 2.1.1) and CummeRbund (ver. 2.2.0) with GTF set to that provided in the iGenomes package. Isoforms were considered to be significantly differentially expressed if the fold change was ≥ 2 and the q-value ≤ 0.001. Enrichment with human Gene Ontology (GO) terms was determined using WebGestalt (http://bioinfo.vanderbilt.edu/webgestalt/). Gene identifiers were treated as human gene symbols, and all genes in the human genome were used as background for statistical calculations. P-values were calculated using a hypergeometric probability density function for GO terms with at least five genes. Terms were considered significantly enriched if the Bonferrroni corrected p<0.01.
We verified the rhesus macaque origin of our cells by genotyping our RNA-Seq reads. Briefly, we used Clustal Omega algorithm (http://www.ebi.ac.uk/Tools/msa/clustalo/) to align the mRNA sequences of ICAM1 from rhesus (NM_001047135.1) and human (NM_000201.2). Within the 1605bp region of overlap between the two sequences, we selected a common 18bp region (CCGTTGCCTAAAAAGGAG) shared by both organisms that was bordered on either side by sequence differences. Using this sequence, we queried one of the control samples (FASTQ file) with the common sequence to identify 123 overlapping reads. We then aligned these RNA-Seq reads, the 18 bp query, NM_001047135.1, and NM_000201.2 using Clustal Omega. From the aligned reads, we recovered a 175bp region encompassing 23 differences between rhesus and human sequence.
Validation of increased expression
Expression of MMP9 was evaluated by quantitative PCR using the ddCT method as described previously [23]. Primer sequences of MMP9 and its reference gene, RPL19, were selected as follows: MMP9, Forward, 5′-CGAGAGACTCTACACCCAGGA-3′ and Reverse, 5′-AGGAAGGTGAAGGGGAAAAC-3′, and RPL19, Forward, 5′-ATGCCAACTCCCGTCAGC-3′and Reverse, 5′-ACCCTTCCGCTTACCTATGC-3′.
In addition, ELISA analysis was performed for VEGFA using a commercial kit (RayBiotech) according to the manufacturer’s instructions on supernatants of cells exposed to 20% human serum, 20% HIS, 20% C5-deficient serum, and 20% C5-deficient serum reconstituted with C5, as above.
Western blot analysis was performed for MMP9 as described previously [23]. RF/6A cells were treated with (a) 20–50% human serum; (b) 20–50% HIS; and (c) serum-free DMEM. After injury, cells were washed twice with DMEM medium and incubated with serum-free DMEM with 1% penicillin-streptomycin for 12 hours. The conditioned medium was collected, centrifuged at 406×g for 5 minutes to remove detached cells, and concentrated with 30kDa cutoff spin columns (Millipore). Proteins were separated using SDS-PAGE and transferred onto a polyvinylidene difluoride membrane (Millipore). Antibodies directed against MMP9 (ab13458, Millipore, Billerica, MA) were diluted to 10 μg/mL and were detected with HRP-conjugated secondary antibodies (GE Healthcare) using a chemiluminescence kit (Bio-Rad).
Zymography
Gelatin zymography was performed using precast gelatin zymography gels (Bio-Rad, Hercules, CA). For each sample, 35 μg concentrated supernatant protein was diluted in zymography loading buffer (Bio-Rad, Hercules, CA) and loaded into each lane. Following electrophoretic separation, MMPs were activated with Zymogram Renaturing Buffer (Bio-Rad, Hercules, CA) and stained with Coomassie blue R-250.
RESULTS
High resolution microscopy/ImmunoEM
Frozen sections of 3 donors were evaluated by confocal microscopy. Confocal microscopy shows anti-MAC reactive material surrounding the choriocapillaris, as has been described previously, with the majority of the signal in the perivascular domain (Figure 1A). These profiles appear punctate in confocal optical sections, especially on the vitread, fenestrated surface of the endothelium. At higher magnifications, there is evidence of MAC accumulation internal to the choriocapillaris basal lamina and overlapping the endothelium (visualized by UEA-I lectin, Figure 1B).
Figure 1.
High resolution detection of complement complexes in the human choriocapillaris. (A) Confocal microscopy of MAC (green) and UEA-I (red). Note the punctate MAC reactivity along the vitread surface of the choriocapillaris. Higher magnification (B) shows regional colocalization of MAC with the EC cell surface (arrows). (C) ImmunoEM localization of the membrane attack complex in human choroid. Section incubated with anti-MAC antibody shows labeling in the extracellular matrix of Bruch’s membrane (BrM); in addition, labeling is observed on a choroidal EC (arrow). (D) Section from the same eye incubated with secondary antibody alone. Scale bars = 10μm (A), 2.5μm (B), 500nm (D).
LR White embedded sections were evaluated using immunoEM for the MAC. Labeling was strongest in Bruch’s membrane, with rare but notable labeling observed on the surface of choriocapillaris ECs (Figure 1C). Positive labeling was compared to secondary antibody alone (Figure 1D), which showed rare scattered particles. While several labeling events on the choriocapillaris were observed in the presence of anti-MAC antibody, this was not observed with secondary antibody alone--in over 100 control fields evaluated, labeling was not observed on the endothelium
Complement activation
RF/6A cells exposed to normal human serum or C5-depleted serum reconstituted with C5, exhibited robust cell surface labeling with antibodies directed against MAC, whereas cells incubated with HIS or with C5-depleted serum did not display surface labeling with anti-MAC antibodies (Figure 2A–D).
Figure 2.
Immunocytochemistry of activated membrane attack complex on primate ECs. Labeling with an anti-MAC antibody (green) was remarkable on cells exposed to 50% normal serum (A), but labeling was not observed in the presence of heat-inactivated serum (B). Cells in C5-depleted serum failed to activate complement (C), unless the serum was reconstituted with C5 (D). Exposure and level adjustments were identical between A& B and C & D, respectively. Blue counterstain, DAPI. Scalebar = 100μm.
Cytolysis assays
The LDH cytotoxicity assay was used to quantify cell death following exposure to the MAC. We employed 2 dilutions of normal human serum (5% and 10%) to treat cultured RF/6A cells and measured LDH release after 4–48 hours. The estimated relative cell death (RCD, the measured LDH activity divided by the LDH activity following 100% cell lysis of identical wells with Triton X-100) was significantly increased after 4 hours in both 5% and 10% normal serum compared to HIS (p<0.05) (Figure 3A). Relative cell death was significantly elevated at all subsequent time points (Figure 3A). To determine the impact of C5 depletion on cytolysis in this system, we also investigated the cytotoxicity of C5-sufficient and C5-deficient human serum on cultured RF/6A cells. C5-deficient serum (20%) reconstituted with C5 showed a significantly higher level of cell death than C5-deficient serum alone (p<0.01) (Figure 3B), although reconstituted serum was slightly less effective at killing cells than normal human serum. Both HIS and C5-depleted serum showed increased cell death compared to medium alone (Figure 3), suggesting mild toxicity due to non-complement activities in serum.
Figure 3.
Cytolysis of ECs with complement-depleted and complement-containing serum. (A) Relative cell death of normal human serum-treated (5% and 10%) and heat-inactivated serum (HIS, 5%) over the course of 24hr. Compared to HIS treated cells, a higher RCD appeared in both serum-treated groups at all time points (p<0.05). (B) Relative cell death after 4 hours following exposure to medium alone, medium with Triton X-100 (defined as 100% cell death), 20% C5-deficient serum, 20% C5-deficient serum reconstituted with C5, 20% heat inactivated serum (HIS), and 20% normal human serum (NHS). RCD was significantly higher in cells exposed to complement. Horizontal line shows level of cell death estimated in medium-alone exposed cells. Error bars indicate standard deviation. * p <0.01.
Endothelial cell permeability
To determine the role of complement injury on EC permeability, we used a series of concentrations of human serum to treat RF/6A cells and measured the cell monolayer permeability to horseradish peroxidase (HRP). After 24 hours of treatment, permeability was significantly increased in all concentrations compared to the 5% HIS group (all p<0.05). There was no statistical difference between the 5% HIS group and the serum free group (p>0.05) (Figure 4).
Figure 4.
EC permeability after exposure to complement-intact serum compared to complement-inactivated serum. A dose- and time-dependent increase in transendothelial flux (mL/cm2) was observed in RF/6A cells following complement injury. An increased flux occurred in 5% to 100% normal serum-treated cells compared to 5% HIS and serum-free medium after 24 hours of treatment (p<0.05).
Cell line validation
The Macaca mulatta provenance of the RF/6A cells used in these experiments was validated using RNA-Seq. Comparison of species-specific variants in the ICAM1 gene was performed. A 175 bp region encompassing 23 differences between rhesus and human sequence was evaluated. At these 23 sites, the overwhelming majority of aligned bases matched the rhesus nucleotide, with the departures from the Macaca sequence likely due to rare sequencing errors (Supplemental Figure 1).
Gene expression
Gene expression was evaluated following MAC injury in RF/6A cells. A minimum of 20 million paired end reads were obtained per sample (21,676,942 to 29,135,734). A total of 15,108 transcripts were considered reliably expressed (minimum FPKM value for all samples in either group greater than or equal to 1). Of these genes, 541 transcripts increased expression upon MAC treatment (fold change ≥ 2 and q-value less than or equal to 0.001), whereas 602 transcripts decreased expression upon MAC treatment (fold change ≤ −2 and q-value ≤ 0.001; Table 1). Raw data from this experiment will be submitted to Gene Expression Omnibus and processed data are uploaded as Supplemental Table 1. Interestingly, of the top 20 increased transcripts, at least 12 are associated with angiogenesis or vasculogenesis.
Table 1.
Forty most differentially expressed genes between MAC treated and control RF/6A cells.
Ensembl ID | Symbol | Description | Chromosome | Length | MAC (FPKM) | Control (FPKM) | Log2 (fold change) | p-value | q-value |
---|---|---|---|---|---|---|---|---|---|
ENSMMUT00000002555 | ENSMMUG00000001815 | Novel pseudogene | chr2 | 281 | 5.70 | 0.00 | Inf | 0.000050 | 0.000223 |
ENSMMUT00000009755 | NPPC | C-type natriuretic peptide | chr12 | 381 | 3.92 | 0.00 | Inf | 0.000050 | 0.000223 |
ENSMMUT00000018313 | HAS1 | hyaluronan synthase 1 | chr19 | 2119 | 10.90 | 0.15 | 6.19 | 0.000050 | 0.000223 |
ENSMMUT00000046604 | NR4A1 | nuclear receptor subfamily 4, group A, member 1 | chr11 | 2433 | 208.42 | 5.40 | 5.27 | 0.000050 | 0.000223 |
ENSMMUT00000023682 | PTGS2 | Prostaglandin-endoperoxide synthase 2 (prostaglandin G/H synthase and cyclooxygenase) | chr1 | 3378 | 91.08 | 2.44 | 5.22 | 0.000050 | 0.000223 |
ENSMMUT00000003274 | AREGB | Amphiregulin | chr5 | 1239 | 41.34 | 1.20 | 5.11 | 0.000050 | 0.000223 |
ENSMMUT00000016263 | NR4A2 | Nuclear receptor subfamily 4 group A member 2 | chr12 | 3452 | 57.21 | 2.17 | 4.72 | 0.000050 | 0.000223 |
ENSMMUT00000006027 | MMP3 | matrix metallopeptidase 3 (stromelysin 1, progelatinase) | chr14 | 1817 | 9.16 | 0.37 | 4.64 | 0.000050 | 0.000223 |
ENSMMUT00000032267 | NR4A1 | nuclear receptor subfamily 4, group A, member 1 | chr11 | 2616 | 11.58 | 0.56 | 4.37 | 0.000050 | 0.000223 |
ENSMMUT00000023244 | MMP9 | Matrix metalloproteinase-9; Matrix metalloproteinase-9 preproprotein | chr10 | 2319 | 44.88 | 2.30 | 4.29 | 0.000050 | 0.000223 |
ENSMMUT00000027899 | BMP2 | Bone morphogenetic protein 2 | chr10 | 2818 | 1.53 | 0.08 | 4.26 | 0.000100 | 0.000428 |
ENSMMUT00000033070 | FGF1 | fibroblast growth factor 1 (acidic) | chr6 | 889 | 38.26 | 2.03 | 4.24 | 0.000050 | 0.000223 |
ENSMMUT00000027604 | CEBPE | CCAAT/enhancer binding protein (C/EBP), epsilon | chr7 | 1551 | 2.34 | 0.14 | 4.08 | 0.000050 | 0.000223 |
ENSMMUT00000012388 | STC1 | Stanniocalcin-1 | chr8 | 2331 | 145.40 | 8.77 | 4.05 | 0.000050 | 0.000223 |
ENSMMUT00000030710 | SEMA7A | Semaphorin-7A isoform 1 preproprotein | chr7 | 2070 | 250.88 | 15.71 | 4.00 | 0.000050 | 0.000223 |
ENSMMUT00000015976 | NR4A3 | nuclear receptor subfamily 4, group A, member 3 | chr15 | 3803 | 8.98 | 0.59 | 3.92 | 0.000050 | 0.000223 |
ENSMMUT00000013772 | DUSP5 | dual specificity phosphatase 5 | chr9 | 2481 | 179.86 | 12.35 | 3.86 | 0.000050 | 0.000223 |
ENSMMUT00000007904 | PCDH9 | Protocadherin-9 isoform 2 | chr17 | 3612 | 2.01 | 0.14 | 3.82 | 0.000050 | 0.000223 |
ENSMMUT00000013738 | SHC4 | Src-like proteiny 2 domain-containing-transforming protein C4 | chr7 | 4574 | 8.39 | 0.62 | 3.76 | 0.000050 | 0.000223 |
ENSMMUT00000002085 | LAMC2 | laminin, gamma 2 | chr1 | 3582 | 11.48 | 0.86 | 3.74 | 0.000050 | 0.000223 |
ENSMMUT00000023885 | DCN | decorin | chr11 | 1936 | 129.98 | 673.77 | −2.37 | 0.000050 | 0.000223 |
ENSMMUT00000047353 | SCMH1 | sex comb on midleg homolog 1 (Drosophila) | chr1 | 3248 | 0.37 | 1.99 | −2.42 | 0.000150 | 0.000623 |
ENSMMUT00000001585 | INHBE | inhibin, beta E | chr11 | 1613 | 3.43 | 19.19 | −2.49 | 0.000050 | 0.000223 |
ENSMMUT00000039895 | CTAGE5 | Cutaneous T-cell lymphoma-associated antigen 5 isoform 2 | chr7 | 2908 | 1.09 | 6.11 | −2.49 | 0.000050 | 0.000223 |
ENSMMUT00000023887 | DCN | decorin | chr11 | 1835 | 27.19 | 153.90 | −2.50 | 0.000050 | 0.000223 |
ENSMMUT00000000387 | ADAMTS9 | ADAM metallopeptidase with thrombospondin type 1 motif, 9 | chr2 | 7315 | 3.36 | 20.21 | −2.59 | 0.000050 | 0.000223 |
ENSMMUT00000014002 | TGFBR2 | transforming growth factor, beta receptor II (70/80kDa) | chr2 | 1704 | 3.54 | 21.75 | −2.62 | 0.000050 | 0.000223 |
ENSMMUT00000022563 | ITGA10 | integrin, alpha 10 | chr1 | 5173 | 1.39 | 8.52 | −2.62 | 0.000050 | 0.000223 |
ENSMMUT00000024656 | IFIT1 | interferon-induced protein with tetratricopeptide repeats 1 | chr9 | 1772 | 1.60 | 10.26 | −2.68 | 0.000050 | 0.000223 |
ENSMMUT00000026149 | ABCA9 | ATP-binding cassette, sub-family A (ABC1), member 9 | chr16 | 5150 | 0.26 | 1.66 | −2.68 | 0.000050 | 0.000223 |
ENSMMUT00000031010 | SP7 | Sp7 transcription factor | chr11 | 3176 | 0.18 | 1.20 | −2.74 | 0.000050 | 0.000223 |
ENSMMUT00000011159 | PLSCR4 | phospholipid scramblase 4 | chr2 | 3172 | 5.94 | 40.23 | −2.76 | 0.000050 | 0.000223 |
ENSMMUT00000001442 | HSD11B1 | hydroxysteroid (11-beta) dehydrogenase 1 | chr1 | 1343 | 0.63 | 4.29 | −2.77 | 0.000050 | 0.000223 |
ENSMMUT00000042190 | CXCL1 | Macaca mulatta chemokine (C-X-C motif) ligand 1 (melanoma growth stimulating activity, alpha) (CXCL1), mRNA. | chr5 | 1017 | 53.84 | 373.25 | −2.79 | 0.000050 | 0.000223 |
ENSMMUT00000028195 | NRP2 | neuropilin 2 | chr12 | 3350 | 0.56 | 3.93 | −2.81 | 0.000050 | 0.000223 |
ENSMMUT00000039671 | ENTPD5 | ectonucleoside triphosphate diphosphohydrolase 5 | chr7 | 1964 | 0.20 | 1.42 | −2.84 | 0.000250 | 0.000997 |
ENSMMUT00000027620 | PIK3IP1 | phosphoinositide-3-kinase interacting protein 1 | chr10 | 2414 | 0.25 | 2.03 | −3.00 | 0.000050 | 0.000223 |
ENSMMUT00000027799 | IL1B | Macaca mulatta interleukin 1, beta (IL1B), mRNA. | chr13 | 1480 | 0.97 | 8.27 | −3.09 | 0.000050 | 0.000223 |
ENSMMUT00000025665 | MX1 | Macaca mulatta myxovirus (influenza virus) resistance 1, interferon-inducible protein p78 (mouse) (MX1), mRNA. | chr3 | 786 | 0.70 | 6.42 | −3.20 | 0.000050 | 0.000223 |
ENSMMUT00000010253 | TXNIP | Thioredoxin-interacting protein | chr1 | 2796 | 23.71 | 261.85 | −3.47 | 0.000050 | 0.000223 |
For pathway analysis, we limited our investigation of gene enrichment in differentially expressed genes to gene ontology (GO) terms designated as part of a “biological process”. Within the top 200 genes with most increased expression upon complement treatment, WebGestalt identified 40 GO terms that were significantly enriched (Bonferroni corrected p<0.01). No GO terms were enriched in the 200 genes with most decreased expression upon MAC treatment. WebGestalt represents enriched GO terms as a directed acyclic graph, a hierarchical structure derived from the underlying ontology, with more general terms (e.g, “multicellular organismal development”) appearing higher in the structure than more specific terms (e.g., “circulatory system development”). To further refine the GO analysis, we focused on terms in the graph lacking “child” terms, listed in Table 2. Thus, the most specific, enriched term contains twenty-four genes involved in blood vessel morphogenesis, including VEGFA.
Table 2. Most specific GO terms enriched in the top 200 differentially expressed genes.
We defined terminal terms as GO terms within the WebGestalt hierarchy having no child terms. The mean log2(fold change) was calculated after removing genes with infinite fold change (i.e., zero expression within the controls). “Position” refers to the maximum depth in the from the root node (“biological process” at position 0).
Term ID | Term | Position | No. genes in term | No. genes in term from top 200 | Bonferroni adjusted p-value | Mean log2(fold change) |
---|---|---|---|---|---|---|
GO:0048514 | blood vessel morphogenesis | 9 | 433 | 24 | 5.46e-08 | 2.68 |
GO:0030335 | positive regulation of cell migration | 7 | 226 | 18 | 4.82e-08 | 2.81 |
GO:0022603 | regulation of anatomical structure morphogenesis | 5 | 591 | 29 | 8.65e-09 | 2.57 |
GO:0048646 | anatomical structure formation involved in morphogenesis | 5 | 1594 | 55 | 1.95e-12 | 2.61 |
GO:0009888 | tissue development | 4 | 1449 | 45 | 5.83e-08 | 2.58 |
GO:0042127 | regulation of cell proliferation | 4 | 1177 | 40 | 6.21e-08 | 2.53 |
GO:0051094 | positive regulation of developmental process | 4 | 682 | 31 | 1.08e-08 | 2.76 |
GO:2000026 | regulation of multicellular organismal development | 4 | 1098 | 38 | 1.25e-07 | 2.61 |
GO:0007154 | cell communication | 3 | 4770 | 93 | 3.26e-08 | 2.53 |
GO:0023052 | signaling | 1 | 4646 | 90 | 1.54e-07 | 2.51 |
GO:0040007 | growth | 1 | 796 | 33 | 2.49e-08 | 2.73 |
Confirmation of gene expression changes
Quantitative PCR was performed on additional wells of cells treated with complement or a series of controls. Increased MMP9 expression at the RNA level was confirmed at 4 hours following 50% serum exposure (>9× fold change compared to HIS, p<0.05, normalized to RPL19; Supplemental Figure 2).
In order to rule out the possibility that expression changes in MMP9 were due to other undefined components of serum that may have been denatured by the heat inactivation step, cells were treated with either C5-deficient serum or C5-deficient serum reconstituted with C5, and MMP9 mRNA levels were determined using quantitative RT-PCR. Compared to C5-deficient serum, adding C5 significantly increased MMP9 expression after 4 hours (>2 fold increase, p<0.01), with levels returning to baseline after 24 hours (p>0.05). Similarly, cells exposed to CVF-treated serum did not differ in MMP9 expression from cells exposed to HIS (p>0.05), but showed significantly lower MMP9 than 50% normal serum-treated cells (>3 fold decrease, p<0.05; Supplemental Figure 2).
ELISA analysis of VEGF-A revealed a small but significant increased VEGF-A protein in 20% serum treated—compared to 20% HIS-treated—cell conditioned media after 8 hours (p<0.05); Supplemental Figure 3. Western blots of the conditioned media of 50% normal serum exposed RF/6A cells with an antibody directed against MMP9 showed an increased abundance of a series of immunoreactive bands (ranging from 40 to 150 kDa), compared to HIS exposed cells or cells exposed to serum free medium (Figure 5A).
Figure 5.
Western blot of MMP9 (A) and zymography (B) following exposure of RF/6A cells to complement. Blot (A) shows reactivity of anti-MMP9 antibody to conditioned media of cells treated with 20% normal serum (NHS); conditioned media of cells treated with 20% heat inactivated serum (HIS); and extracts of cells following exposure to NHS and HIS, respectively. After 4 hours, a series of immunoreactive bands was significantly elevated in the conditioned medium of treated cells compared to controls exposed to complement depleted serum. (B) Zymography analysis of MMP activity using conditioned media from cells exposed to 50% normal serum or 50% HIS, or from medium alone that was not conditioned by EC (“50% NHS only”). Three individual samples are depicted for each group. All samples showed a band of gelatinase activity at approximately 65. An 88 kDa gelatin-cleaving band was observed only in the normal serum-treated cells, compared to both HIS conditioned medium and serum containing non-conditioned media control groups, after 4 hours.
To assess whether the increased MMP9 in complement treated cells is functional, zymography analysis was performed. Cells exposed to 50% normal serum exhibited remarkably higher gelatinase activity at 88kDa (a profile unique to the complement treated cells; Figure 5B). Serum alone did not possess this activity.
DISCUSSION
In this report, we describe the effects of complement exposure on choroidal ECs in a system that models some aspects of AMD. Our results indicate that the choriocapillaris is exposed to the MAC and that choroidal ECs are susceptible to complement-mediated cytolysis in a concentration- and dose-dependent manner. As discussed above, several lines of evidence suggest that injury of choriocapillaris ECs by MAC deposition is a major driving pathological insult leading to AMD (reviewed in [27]). In contrast, except in some cases of choroidal neovascularization (CNV) [22], robust MAC deposition on the RPE is not observed. This observation may be due to differential protection of RPE and ECs: while the RPE expresses high levels of CD46, a negative complement regulator, the choriocapillaris may be less equipped to shield itself from MAC [28,29], possibly relying more on CFH for protection. Given the high level of exposure of choroidal ECs to MAC in even young eyes [22], any impairment of complement inhibition could lead to damage to ECs. Once the loss of capillary ECs overcomes the rate of replacement, decreased perfusion is a likely consequence.
We recently described an increase in the density of “ghost” vessels (remnants of viable capillaries that are no longer occupied by endothelial cells) with increasing drusen density [4]. Thus, the MAC has the means to harm ECs (as described in the current study), shows increased activation in AMD-associated CFH polymorphisms [19], and has been frequently observed in close proximity with the cells lost first in early AMD (the choriocapillaris endothelium) [17,21,22]. For these reasons, compelling circumstantial evidence supports a role for MAC in the damage observed in the choriocapillaris. Interestingly, this observation is specific to choriocapillaris as capillary beds in other tissues do not show a similar age-related MAC accumulation [30].
In addition to cell death, the activation of the complement system can also change the phenotype of cells exposed to its components. We [21] and others [31] have studied the impact of complement anaphylatoxins on choriocapillaris and/or RPE cells. In order to better understand the impact of MAC injury, in the current report we sought to characterize the changes in cell phenotype using gene expression analysis. Our RNA-Seq analysis indicates that acute MAC injury of choroidal ECs leads to rapidly increased expression of genes involved in blood vessel formation, a set of genes likely upregulated in CNV formation.
The upregulation of MMP9 expression is especially interesting in light of a compelling body of work on RPE cells injured by MAC [32]. Induction of MMP9 expression by complement-injured choriocapillaris could lead to localized degradation of the choriocapillaris basal lamina, a critical first step in angiogenesis [33]. It is also notable that serum with C5 induced elevated MMP9 expression, indicating that this increase is not solely due to C3 activation.
A scenario with the paradoxical features of both EC death and increased angiogenesis (in surviving cells) following complement attack would comport well with observations made on human eyes by McLeod and coworkers, in which capillary dropout, with preserved RPE, was found adjacent to choroidal neovascular membranes[10]. In our proposed model, MAC-induced EC dropout may occur either before or concurrently with the induction of angiogenesis. Induction of pro-angiogenic genes could then trigger rapid, uncontrolled growth of blood vessels, leading to the formation of a neovascular membrane. In other words, MAC-exposed choroidal ECs may alternatively be damaged beyond repair or be sublytically injured, resulting in activation of a gene expression program that promotes angiogenesis.
The mechanistic link between complement activation and CNV has been advanced since at least 2005, when Bora et al. determined that systemic complement inhibition with CVF or by C3 deficiency impaired the growth of new blood vessels into a site of laser injury [34]; these findings have been further validated in mice with genetically targeted deletions in other genes associated with the complement system and in animals treated with natural or synthetic inhibitors of complement [35–38]. The current study further suggests that MAC deposition acts directly on choroidal ECs to either lyse the cells or to promote conversion to a proangiogenic phenotype.
The current study has several limitations. Although the relevance of the study is directed toward AMD, a largely human disease, we employed a cell line form rhesus macaque (RF/6A). The advantage of these cells is that, since they are immortal, the same line of cells can be used for multiple experiments with good reproducibility. Orthologs in Macaca mulatta is >97% identical to human at the nucleotide level [39], and Macaca is one of the few (if not the only) non-human genus to develop an AMD-like phenotype [40],[41]. A second limitation relates to the injury model itself. While we demonstrate that the membrane attack complex is deposited on the surface of serum-exposed EC, it is possible that not all of the observed cellular responses are due to the deposition of MAC. Indeed, even C5-depleted serum, while showing less cytolysis than reconstituted serum, showed increased cytolysis compared to medium alone. This response may be due to the presence of anti-endothelial antibodies in human serum, which have been described previously [42] or the effects of anaphylatoxins such as C3a [43]. However, when normalized to C5-deficient serum or CVF-activated serum, the serum that forms MAC on the cell surface leads to increased MMP9 expression and increased cell loss, implicating complement directly.
Given the involvement of MAC deposition in normal aging and early AMD, we suggest that future therapeutic approaches may seek to augment the resistance of choroidal ECs against MAC injury prior to the development of atrophy or neovascularization.
Supplementary Material
The conditioned media of cells that received NHS (NHS-CM) showed a small (8%; 39% if controls are subtracted) but significant (p<0.05) increase in VEGF-A compared to cells receiving heat inactivated media (HIS-CM). VEGF concentration in medium alone with NHS and HIS are also depicted. NS, non-significant; *, p<0.05.
Validation of Macaca mulatta origin of the RF/6A cells. Nucleotide counts from RF/6A RNA-Seq reads are shown at positions differing between rhesus and human ICAM1. The raw reads (FASTQ file) for one control sample was queried for exact matches to a 18 nt query sequence shared by rhesus and human ICAM1. Coordinates shown for rheMac2 (MMUL_1) chromosome 19.
Quantitative PCR confirmation of upregulated MMP9 expression following exposure to complement. Increased MMP9 expression at the RNA level was confirmed at 4 hours following 50% NHS exposure (> 9× fold change compared to HIS, p<0.05, normalized to RPL19). Similarly, C5-reconstitued serum showed increased MMP9 RNA compared to C5-deficient serum. Serum that was pre-activated with CVF, prior to exposing ECs, showed reduced MMP9 expression compared to NHS.
Figure 6. Deposition of the membrane attack complex in an eye with choroidal neovascularization.
Section from a 70 year old female donor, showing labeling of the MAC (green) and the vascular marker UEA-I (red). Nuclei are counterstained with DAPI (blue). Note the presence of choriocapillaris ghost vessels (arrows). In some cases, MAC is observed around vessels within the CNVM, consistent with findings of MAC as an activator of angiogenesis-associated genes. Right panel, adjacent section with omission of the primary antibody and lectin. Scale bar = 100 μm.
Acknowledgments
Supported in part by: NIH grants EY-024605, EY-023187, and 1-DP2-OD007483-01; the Elmer and Sylvia Sramek Charitable Foundation; The Ronald and Annette Massman Choroideremia Research Fund; the Howard F. Ruby Endowment for Human Retinal Engineering; the Stephen A. Wynn Foundation; the Hansjoerg E.J.W. Kolder, M.D., Ph.D., Professorship in Best Disease Research; and the Martin and Ruth Carver Chair in Ocular Cell Biology.
Footnotes
SZ, SSW, LAW, and MJR, and TES performed experiments and/or interpreted the data analysis; SZ, SSW, EHS, EMS, LAW, TES, BAT and RFM designed and interpreted experiments and/or wrote the manuscript.
The authors have no conflicts of interest to disclose.
This is original work that has not been submitted for publication elsewhere.
RNA-Seq data are appended as Supplemental Table 1.
All RNA-Seq raw data will be made available to the public on acceptance of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
The conditioned media of cells that received NHS (NHS-CM) showed a small (8%; 39% if controls are subtracted) but significant (p<0.05) increase in VEGF-A compared to cells receiving heat inactivated media (HIS-CM). VEGF concentration in medium alone with NHS and HIS are also depicted. NS, non-significant; *, p<0.05.
Validation of Macaca mulatta origin of the RF/6A cells. Nucleotide counts from RF/6A RNA-Seq reads are shown at positions differing between rhesus and human ICAM1. The raw reads (FASTQ file) for one control sample was queried for exact matches to a 18 nt query sequence shared by rhesus and human ICAM1. Coordinates shown for rheMac2 (MMUL_1) chromosome 19.
Quantitative PCR confirmation of upregulated MMP9 expression following exposure to complement. Increased MMP9 expression at the RNA level was confirmed at 4 hours following 50% NHS exposure (> 9× fold change compared to HIS, p<0.05, normalized to RPL19). Similarly, C5-reconstitued serum showed increased MMP9 RNA compared to C5-deficient serum. Serum that was pre-activated with CVF, prior to exposing ECs, showed reduced MMP9 expression compared to NHS.