Visual Abstract

Background: Chronic renovascular disease (RVD) can lead to a progressive loss of renal function, and current treatments are inefficient. We designed a fusion of vascular endothelial growth factor (VEGF) conjugated to an elastin-like polypeptide (ELP) carrier protein with an N-terminal kidney-targeting peptide (KTP). We tested the hypothesis that KTP-ELP-VEGF therapy will effectively recover renal function with an improved targeting profile. Further, we aimed to elucidate potential mechanisms driving renal recovery. Methods: Unilateral RVD was induced in 14 pigs. Six weeks later, renal blood flow (RBF) and glomerular filtration rate (GFR) were quantified by multidetector CT imaging. Pigs then received a single intrarenal injection of KTP-ELP-VEGF or vehicle. CT quantification of renal hemodynamics was repeated 4 weeks later, and then pigs were euthanized. Ex vivo renal microvascular (MV) density and media-to-lumen ratio, macrophage infiltration, and fibrosis were quantified. In parallel, THP-1 human monocytes were differentiated into naïve macrophages (M0) or inflammatory macrophages (M1) and incubated with VEGF, KTP-ELP, KTP-ELP-VEGF, or control media. The mRNA expression of macrophage polarization and angiogenic markers was quantified (qPCR). Results: Intrarenal KTP-ELP-VEGF improved RBF, GFR, and MV density and attenuated MV media-to-lumen ratio and renal fibrosis compared to placebo, accompanied by augmented renal M2 macrophages. In vitro, exposure to VEGF/KTP-ELP-VEGF shifted M0 macrophages to a proangiogenic M2 phenotype while M1s were nonresponsive to VEGF treatment. Conclusions: Our results support the efficacy of a new renal-specific biologic construct in recovering renal function and suggest that VEGF may directly influence macrophage phenotype as a possible mechanism to improve MV integrity and function in the stenotic kidney.

Renovascular disease (RVD), most often caused by atherosclerotic renal artery stenosis [1], is a leading cause of secondary hypertension. It may lead to and exacerbate the progression of chronic kidney disease (CKD) [1, 2] and significantly increase cardiovascular risk [3]. Progressive damage and loss of the renal microvasculature is a major pathological feature in chronic renal diseases that correlates with the progression of renal injury [4, 5], irrespective of the etiology. We and others have shown that renal microvascular (MV) rarefaction develops in the setting of blunted angiogenic signaling and reduced availability of renal VEGF [6-9]. We also showed in a swine model of unilateral RVD that intrarenal replenishment of VEGF stimulates angiogenesis, leading to improved renal MV integrity and endothelial function, demonstrated by the improved stenotic kidney renal blood flow (RBF), glomerular filtration rate (GFR), and fibrosis and attenuated hypertension [8]. These data support a prominent role for VEGF in the kidney and a pathophysiological link between MV damage and renal injury.

In subsequent studies [10-12], we aimed to refine VEGF therapy by addressing the limited circulating time of this cytokine and offsetting the possibility of VEGF binding outside the kidney. To address this, we used drug-delivery technology in the form of elastin-like polypeptide (ELP). ELP is an inert, nonimmunogenic peptide that may be conjugated to virtually any therapeutic cargo or tissue-targeting agents [13-15]. We developed an ELP-VEGF construct and successfully showed that single ELP-VEGF therapy in RVD improved RBF, GFR, MV density, and hypertension more effectively than free VEGF [10, 11].

We aimed to extend those studies by refining ELP-VEGF to improve renal specificity. Using a phage display screen in mice, Pasqualini et al. [16] identified a cyclic peptide of 7 amino acids that naturally accumulates in the kidney 10 times more than in comparator organs. We fused the kidney-targeting peptide (KTP) to the ELP-VEGF construct and showed in multiple animal models that these constructs display greater deposition in the kidneys and prolonged tissue half-life relative to untargeted ELP constructs [17, 18]. Furthermore, we showed that VEGF fused to KTP-ELP retains its biological activity in vitro [18]. These studies support the use of KTP as a potential means to improve delivery of ELP-VEGF therapy. However, the renal therapeutic efficacy of the KTP-ELP-VEGF construct has not yet been evaluated.

Based on these exciting data, we hypothesize that the novel KTP-ELP-VEGF construct will improve renal injury in RVD without compromising efficacy. Furthermore, we recently showed that ELP-VEGF in a model of CKD improved renal health partly by inducing a shift in renal macrophage phenotype in favor of M2s [12], thus reducing renal inflammation and promoting repair. How modulation of renal macrophage phenotype is mechanistically related to recovery of renal function following VEGF therapy is still unknown. Thus, the model of unilateral RVD offers the opportunity to extend our previous work [12] and test the hypothesis that long-term protective effects of KTP-ELP-VEGF therapy are mediated by a direct effect of VEGF to induce macrophages to an anti-inflammatory, proangiogenic phenotype, leading to the recovery of renal MV architecture and function.

In vivo Studies

The Institutional Animal Care and Use Committee at the University of Mississippi Medical Center approved all studies. Twenty-one juvenile intact male and female pigs (sus scrofa domesticus) used for this study were pooled, similarly distributed, and observed for a total of 10 weeks. In 14 pigs, RVD was induced by unilateral renal artery stenosis, as described [7, 8, 10, 19-23]. The remaining 7 pigs underwent sham surgery and were kept as normal controls.

Six weeks following induction of RVD or sham, pigs underwent contrast-enhanced multidetector computed tomography (MDCT) scans to quantify RBF, regional perfusion, and GFR, as previously described [7, 8, 10, 24]. After scanning, KTP-ELP-VEGF (100 μg/kg) or vehicle (saline) was injected into the stenotic kidney. Four weeks later, at the 10-week time point, all pigs underwent repeated MDCT-derived quantification of renal function to determine the responses to treatment. Two days after the 10-week in vivo studies, pigs were euthanized with IV phenobarbital (100 mg/kg). Urine was collected to measure BUN, and kidneys were collected for ex vivo studies.

Quantification of Renal MV Density: Micro-CT Studies

Excised kidneys were perfused with a silicon polymer contrast (Microfil MV122) and scanned on a benchtop high-resolution micro-CT (SkyScan 1076; Bruker Biospin Corp., Billerica, MA, USA) at 0.3° increments with a resolution of 9 μm. The AnalyzeTM software package was used to generate 3D reconstructions and measure cortical and medullary MV density as previously described [20, 21, 23, 25]. To further localize the effects of VEGF, MV density was quantified for all microvessel diameters (0–500 μm) as well as incrementally smaller subgroups (0–200 and 0–80 μm).

Histology

Midhilar kidney tissue was fixed in 10% formalin, embedded in paraffin, and cut into 5-μm sections. Slides were then stained with hematoxylin and eosin and Masson’s trichrome to quantify MV media-to-lumen ratio and renal fibrosis [23]. Measurement of media-to-lumen ratio and quantification of fibrosis were performed using ImageJ (National Institutes of Health [NIH], Bethesda, MD, USA) as previously described [12, 26, 27].

Immunohistochemistry

Midhilar kidney sections from each animal were stained for indoleamine-2,3-dioxygenase (IDO1; Invitrogen, 711778, 1/50) and mannose receptor c-type 1 (MRC1; LSBio, LS-B9805, 1/50) to identify M1 and M2 macrophages as previously described [12, 26]. Slides were counterstained with the nuclear label DAPI. Nucleated IDO1+ (M1) and MRC1+ (M2) macrophages were quantified in 15 randomly captured high-power images per slide.

In vitro Studies

Frozen THP-1 human monocytes (ATCC, TIB-202) were reconstituted in culture media consisting of RPMI 1640 + glutamine and HEPES (Gibco, 22400-089) containing 10% fetal bovine serum and penicillin/streptomycin (100 U/mL, Gibco, 15070-063). Cells were incubated at 19% O2 and 5% CO2 in a water-jacketed incubator until 80–90% confluence in T75 flasks before passaging 1:4 per supplier instructions. Cells in passage 4–7 were used in all experiments. The majority of the cells used in this experiment were between passages 4 and 5. More passages were needed for just 3 samples to provide sufficient RNA for analysis. Monocytes were seeded in 6-well plates at 1.2 × 106 live cells per well. All plates were then incubated for 48 h in culture media containing 100 nM phorbol 12-myristate-13-acetate to induce terminal differentiation to naïve M0 macrophages [28]. Plates were then divided into 2 groups, receiving normal culture media or media containing 100 ng/mL LPS and 20 ng/mL IFNγ for 48 h to induce differentiation of M1 macrophages [29]. Plates containing M0 or M1 macrophages were finally cultured for 48 h in normal media or media containing 100 nM VEGF, KTP-ELP, or KTP-ELP-VEGF. This concentration was chosen based on previous work assessing effective dose of these constructs to stimulate human endothelial and tubular cells in vitro [18]. Following this step, the media were removed from all wells and cells were lysed to perform RNA isolation.

Real-Time qPCR

Total RNA was isolated from the cell culture using PureLink RNA Mini Kit (Invitrogen, 12183018A). 500 ng of RNA from each sample was used to generate cDNA using RevertAid First Strand cDNA Synthesis Kit (Thermo Scientific, K1621). qPCR was performed using Hot Start Taq 2x Master Mix (New England BioLabs, M0496L). Samples were probed using primer pairs for beta actin (Hs01060665_g1), VEGF (Hs00900055_m1), KDR/Flk-1 (Hs00911700_m1), Flt-1 (Hs01052961_m1), IDO1 (Hs00984148_m1), CD163 (Hs00174705_m1), and sFlt-1 (5′-3′ TGG GGA GGG GAG GAT GTT AG, 3′-5′ TAA GGG AGG TGC GTT GAA CC).

Statistical Analysis

Results were expressed as mean ± SEM. Statistical comparisons within each group were performed by ANOVA followed by Fisher’s post-test and between groups with factorial ANOVA followed by Tukey’s post hoc test. Six- and 10-week comparisons with baseline values were performed by repeated measures ANOVA with the Bonferroni adjustment for multiple pairwise comparisons. Statistical significance was accepted for p < 0.05.

General Characteristics

Body weight was similar between all groups and sexes at the 6- and 10-week time points (Tables 1, 2). The degree of renal artery stenosis, quantified by renal angiography, remained stable throughout the study at approximately 70% (Tables 1, 2), which is hemodynamically significant [30]. Prior to treatment at 6 weeks, blood pressure was significantly and similarly elevated in all pigs compared to normal. Four weeks following treatment, there was no change in blood pressure in the RVD + KTP-ELP-VEGF group while untreated RVD showed a significant rise compared to 6 weeks (Table 2).

Table 1.

General characteristics of each group at 6 weeks (immediately prior to treatment, n = 7/group)

General characteristics of each group at 6 weeks (immediately prior to treatment, n = 7/group)
General characteristics of each group at 6 weeks (immediately prior to treatment, n = 7/group)
Table 2.

General characteristics of each group at 10 weeks (4 weeks after treatment, n = 6–7/group)

General characteristics of each group at 10 weeks (4 weeks after treatment, n = 6–7/group)
General characteristics of each group at 10 weeks (4 weeks after treatment, n = 6–7/group)

MDCT-Derived Renal Hemodynamics

At 6 weeks of RVD, immediately prior to treatment, RBF was similarly and significantly reduced in both RVD (−65.5% vs. normal, p < 0.05) and RVD KTP-ELP-VEGF (−63.2% vs. normal, p < 0.05) groups compared to the sham-operated normal group (Fig. 1). This was paralleled by a significant drop in GFR in RVD (−47.9% vs. normal, p < 0.05) and RVD KTP-ELP-VEGF (−50.7% vs. normal, p < 0.05) groups compared to the normal group.

Fig. 1.

Single-kidney RBF (a) and GFR (b) in normal, RVD, and RVD + KTP-ELP-VEGF pigs (stenotic kidney) at 6 and 10 weeks. Both RBF and GFR were significantly reduced in RVD groups at 6 weeks. No change was observed in untreated pigs at 10 weeks while a significant increase was observed in those receiving KTP-ELP-VEGF. n = 6–7 per group. *p < 0.05 versus normal; p < 0.05 versus RVD; p < 0.05 versus 6 weeks (single-way ANOVA and Tukey). RBF, renal blood flow; GFR, glomerular filtration rate; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Fig. 1.

Single-kidney RBF (a) and GFR (b) in normal, RVD, and RVD + KTP-ELP-VEGF pigs (stenotic kidney) at 6 and 10 weeks. Both RBF and GFR were significantly reduced in RVD groups at 6 weeks. No change was observed in untreated pigs at 10 weeks while a significant increase was observed in those receiving KTP-ELP-VEGF. n = 6–7 per group. *p < 0.05 versus normal; p < 0.05 versus RVD; p < 0.05 versus 6 weeks (single-way ANOVA and Tukey). RBF, renal blood flow; GFR, glomerular filtration rate; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Close modal

At 10 weeks, 4 weeks after treatment, BUN was significantly increased in untreated pigs but not in those receiving KTP-ELP-VEGF (Table 2). No significant change was observed in the untreated RVD compared to pretreatment/placebo values in either RBF (+15% vs. 6 weeks, p = ns) or GFR (−2.7% vs. 6 weeks, p = ns), demonstrating stable disease. Conversely, KTP-ELP-VEGF-treated pigs were found to have significantly improved RBF (+85.7% vs. 6 weeks, p < 0.05) and GFR (+45.7% vs. 6 weeks p < 0.05) compared to pretreatment values (Fig. 1).

Micro-CT Quantification of Renal MV Density

MV rarefaction was observed in both the cortex and medulla of the untreated RVD group (Fig. 2a, b). This was found in association with an increase in media-to-lumen ratio indicating concomitant remodeling of the remaining vasculature (Fig. 2c). Notably, MV rarefaction was markedly improved in pigs receiving KTP-ELP-VEGF. This effect was much more pronounced in the cortex, particularly in small- and medium-sized microvessels (0–200). Improvements in MV density following KTP-ELP-VEGF were associated with reduced renal vascular resistance (RVR), restored cortical perfusion (Table 2), and attenuation of vascular remodeling, indicated by reduced media-to-lumen ratio.

Fig. 2.

Representative micro-CT images of renal microvasculature (a) and quantification of cortical and medullary MV density (b), media-to-lumen ratio (c), representative trichrome-stained midhilar stenotic kidney sections (d), and morphometric analysis (quantification of renal fibrosis, e) from normal, RVD, and RVD + KTP + ELP-VEGF pigs after 10 weeks of observation. MV density was markedly decreased in untreated RVD across all diameters assessed and was significantly increased but not normalized in pigs receiving KTP-ELP-VEGF. Consistent with this was increased media-to-lumen ratio in RVD which was attenuated by treatment, suggesting attenuated vascular remodeling. Significant fibrosis was observed in the all compartments of the untreated RVD kidneys, most notably in the perivascular and tubulointerstitial compartments (arrows). Fibrosis was significantly reduced with KTP-ELP-VEGF although limited residual tubulointerstitial fibrosis was noted (arrow). Scale bar represents 20 μm; n = 6–7 per group. *p < 0.05 versus normal; p < 0.05 versus RVD; p < 0.05 versus 6 weeks (single-way ANOVA and Tukey). MV, microvascular; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Fig. 2.

Representative micro-CT images of renal microvasculature (a) and quantification of cortical and medullary MV density (b), media-to-lumen ratio (c), representative trichrome-stained midhilar stenotic kidney sections (d), and morphometric analysis (quantification of renal fibrosis, e) from normal, RVD, and RVD + KTP + ELP-VEGF pigs after 10 weeks of observation. MV density was markedly decreased in untreated RVD across all diameters assessed and was significantly increased but not normalized in pigs receiving KTP-ELP-VEGF. Consistent with this was increased media-to-lumen ratio in RVD which was attenuated by treatment, suggesting attenuated vascular remodeling. Significant fibrosis was observed in the all compartments of the untreated RVD kidneys, most notably in the perivascular and tubulointerstitial compartments (arrows). Fibrosis was significantly reduced with KTP-ELP-VEGF although limited residual tubulointerstitial fibrosis was noted (arrow). Scale bar represents 20 μm; n = 6–7 per group. *p < 0.05 versus normal; p < 0.05 versus RVD; p < 0.05 versus 6 weeks (single-way ANOVA and Tukey). MV, microvascular; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Close modal

Renal Morphology and Macrophage Infiltration

Significant fibrosis was observed in the all compartments of the untreated RVD kidneys, most prominently in the perivascular and tubulointerstitial compartments (Fig. 2d). Notably, image analysis and quantification revealed dramatic overall reduction in fibrosis compared to untreated RVD (Fig. 2e). M1 macrophage infiltration was significantly greater in untreated RVD compared to normal, whereas KTP-ELP-VEGF-treated pigs showed no difference from normal. KTP-ELP-VEGF-treated pigs showed significantly increased renal infiltration of M2 macrophages compared to RVD or normal (Fig. 3a, b).

Fig. 3.

Representative immunostaining (a) and quantification (b) of M1 and M2 macrophages using the M1 marker IDO1 (red), the M2 marker MRC1 (green), and the nuclear counterstain DAPI (blue) in normal, RVD, and RVD + KTP-ELP-VEGF pigs after 10 weeks of observation. Untreated RVD pigs showed significantly increased macrophage infiltration which was markedly skewed towards inflammatory M1 polarization. Pigs treated with KTP-ELP-VEGF showed similar overall macrophage infiltration which was shifted in favor of anti-inflammatory M2s. Scale bar represents 20 μm; n = 6 per group. *p < 0.05 versus normal; p < 0.05 versus RVD (single-way ANOVA and Tukey). IDO1, indoleamine-2,3-dioxygenase; MRC1, mannose receptor c-type 1; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Fig. 3.

Representative immunostaining (a) and quantification (b) of M1 and M2 macrophages using the M1 marker IDO1 (red), the M2 marker MRC1 (green), and the nuclear counterstain DAPI (blue) in normal, RVD, and RVD + KTP-ELP-VEGF pigs after 10 weeks of observation. Untreated RVD pigs showed significantly increased macrophage infiltration which was markedly skewed towards inflammatory M1 polarization. Pigs treated with KTP-ELP-VEGF showed similar overall macrophage infiltration which was shifted in favor of anti-inflammatory M2s. Scale bar represents 20 μm; n = 6 per group. *p < 0.05 versus normal; p < 0.05 versus RVD (single-way ANOVA and Tukey). IDO1, indoleamine-2,3-dioxygenase; MRC1, mannose receptor c-type 1; RVD, renovascular disease; KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor.

Close modal

In vitro Studies

Macrophage Polarization

In a previous study, we showed that renal VEGF therapy induces M2 polarization and VEGF expression in renal macrophages [12]. Here, we aimed to determine the direct effects of VEGF on macrophage polarization and effector function using human macrophages in vitro. mRNA expression of IDO1 and CD163 was quantified by qPCR as these are accepted markers of M1 and M2 macrophage polarization, respectively [31, 32]. As expected, IDO1 expression was significantly elevated in all M1 but no M0 macrophages, supporting the successful generation of an M1 phenotype (Fig. 4a). CD163 expression was significantly increased in M0s treated with VEGF or KTP-ELP-VEGF relative to unstimulated M0 and increased in the M1 + VEGF group compared to unstimulated M1s (Fig. 4b).

Fig. 4.

Quantitative real-time polymerase chain reaction performed on M0 and M1 macrophages incubated in VEGF, KTP-ELP, KTP-ELP-VEGF, or control media. The macrophage M1 marker (IDO1, a) was significantly increased in all macrophages incubated in LPS and IFNγ supporting successful M1 polarization. The M2 marker (CD163, b) was dramatically elevated by VEGF or KTP-ELP-VEGF in M0 macrophages indicating that VEGF induces an M2 phenotype primarily through effects on naïve macrophages. A significant increase in CD163 was seen in M1s treated with VEGF only, suggesting some phenotype switching from M1 to M2 may occur. M0s showed substantial increases in expression of VEGF (c) and its receptor Flk-1 (d) when stimulated with VEGF or KTP-ELP-VEGF, suggesting a feed-forward induction of a proangiogenic phenotype. In contrast, M1 macrophages expressed moderate levels of VEGF and both membrane-bound (e) and soluble (f) forms of its receptor Flt-1 at baseline but showed no demonstrable response to VEGF therapy. n = 6 per group. *p < 0.05 versus M0; p < 0.05 versus M1 (single-way ANOVA and Tukey). KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor; IDO1, indoleamine-2,3-dioxygenase 1.

Fig. 4.

Quantitative real-time polymerase chain reaction performed on M0 and M1 macrophages incubated in VEGF, KTP-ELP, KTP-ELP-VEGF, or control media. The macrophage M1 marker (IDO1, a) was significantly increased in all macrophages incubated in LPS and IFNγ supporting successful M1 polarization. The M2 marker (CD163, b) was dramatically elevated by VEGF or KTP-ELP-VEGF in M0 macrophages indicating that VEGF induces an M2 phenotype primarily through effects on naïve macrophages. A significant increase in CD163 was seen in M1s treated with VEGF only, suggesting some phenotype switching from M1 to M2 may occur. M0s showed substantial increases in expression of VEGF (c) and its receptor Flk-1 (d) when stimulated with VEGF or KTP-ELP-VEGF, suggesting a feed-forward induction of a proangiogenic phenotype. In contrast, M1 macrophages expressed moderate levels of VEGF and both membrane-bound (e) and soluble (f) forms of its receptor Flt-1 at baseline but showed no demonstrable response to VEGF therapy. n = 6 per group. *p < 0.05 versus M0; p < 0.05 versus M1 (single-way ANOVA and Tukey). KTP, kidney-targeting peptide; ELP, elastin-like polypeptide; VEGF, vascular endothelial growth factor; IDO1, indoleamine-2,3-dioxygenase 1.

Close modal

Macrophage Angiogenic Signaling

Naïve M0 macrophages demonstrated a robust increase in VEGF expression when exposed to either VEGF or KTP-ELP-VEGF but not KTP-ELP (Fig. 4c). M1 macrophages exhibited a modest level of VEGF expression which was notably unaltered by the VEGF stimulus. We subsequently measured expression of VEGF’s primary receptors Flk-1 and Flt-1. We found that Flk-1 (Fig. 4d) mirrored VEGF expression in M0 macrophages, increasing dramatically in those treated with VEGF or KTP-ELP-VEGF (approximately 40-fold and 30-fold, respectively, compared to unstimulated M0). M1s showed a small but significant increase in Flk-1 expression only when treated with VEGF alone. Flt-1 and sFlt-1 expression (Fig. 4e, f), in contrast, was significantly elevated only in M1s and again was unresponsive to the VEGF stimulus.

In a series of recent studies from our laboratories that developed and characterized the constructs, we demonstrate that addition of ELP to VEGF, KTP to ELP, and KTP-ELP to VEGF increases renal targeting, prolongs its half-life, and significantly shifts its deposition from the liver to the kidney without interfering with VEGF’s biological activity or inducing any collateral effects in other organs such as the liver or the heart [11, 17, 18]. Herein, we extended those studies by investigating the therapeutic efficacy in vivo and found that the KTP-ELP-VEGF construct effectively recovered stenotic kidney blood flow and filtration function in the swine model of RVD, which was accompanied by improved MV density, suppressed M1 and augmented M2 macrophage infiltration in the kidneys, and attenuated fibrosis. The renal functional improvements were comparable to those seen after ELP-VEGF treatment of RVD [10] and CKD [12] in our recent work, indicating that addition of the KTP moiety did not interfere with the efficacy of renal VEGF therapy, which extends our previous work [17, 18]. Thus, this novel drug-delivery technology and strategy may refine renal delivery of VEGF, which could have significant implications for clinical translation.

Owing in part to its high metabolic activity, MV rarefaction has been shown to occur in the cortex before the medulla, driving functional impairment and parenchymal atrophy [21]. MV recovery in the KTP-ELP-VEGF-treated kidney was most pronounced in the cortex, particularly the small- and medium-sized vessels (0–200 μm), and accordingly associated with preferential improvement of cortical perfusion and a reduction in overall RVR, suggesting functional restoration of the renal MV architecture. Recovery of cortical blood flow was linked to increased renal volume, in line with normal animals, compared to no change in untreated RVD. This finding supports the notion that rescued glomerular function may have facilitated the expansion of the active renal parenchyma. This cortical effect driving renal recovery is in agreement with our previous study showing that fluorescently labeled KTP-ELP-VEGF displays a clear preference for deposition in the cortex, notably binding to glomerular capillaries and tubular cells [18]. This may be attributable to the increased vascularity of the cortex relative to the medulla or, likely, a binding partner for KTP which is preferentially expressed in the cortical parenchyma and will be addressed in future studies. Regardless, by targeted glomerular deposition, KTP-ELP-VEGF may act locally to restore blood flow to underperfused glomeruli, thereby rescuing ischemic but recoverable parenchyma.

The current study also aimed to shed light into potential mechanisms of KTP-ELP-VEGF effects. Macrophages are well-described players in the pathogenesis of renal injury. Yet more recently, it has been appreciated that macrophages play a pivotal role in renal regeneration as well [33, 34]. Shortly after renal injury, resident and infiltrating macrophages polarize to a proinflammatory M1 phenotype [35]. In the normal course of injury and recovery, these M1 macrophages are progressively replaced by regenerative M2 macrophages over 2–3 weeks [35]. However, we have shown that this phenotype switch can fail to occur in chronic renal injury [26] leading to a persistent M1 response and pervasive inflammation which exacerbates parenchymal damage.

We recently showed that ELP-VEGF therapy in CKD results in a shift in the renal macrophage population from M1 to a predominantly M2 phenotype [12]. Herein, we demonstrated a similar effect, as KTP-ELP-VEGF suppressed M1 macrophage polarization and induced a significant increase in renal M2 macrophage polarization in vivo compared to untreated RVD. However, the magnitude of this effect was less than that observed using ELP-VEGF in our CKD model [12]. Several factors may have played a role in these differences. First, the length of observation and model are different compared to those in [12]. Speculatively, differences in the magnitude of M2 increase may also be attributable to differences in the therapeutic constructs, with addition of KTP modifying macrophage binding. Alternatively, macrophage presence in the stenotic kidney may be improved by a healthier microenvironment after KTP-ELP-VEGF therapy (reflected by improved RBF and GFR) or may have been reduced in this model compared to established CKD due to the less advanced stage of renal injury. Fewer renal macrophages prior to treatment would naturally diminish the degree of the M2 phenotype shift observed after VEGF in the RVD model.

While the augmented M2 population and suppressed M1 infiltration were associated with significant MV and functional recovery in vivo, it was not certain whether this is driven directly by an effect of VEGF on macrophages. Rather, if VEGF induces renal recovery by some other means, it is possible that the attenuated inflammatory milieu allows the M2 phenotype to emerge after the fact. Herein, we aimed to address this uncertainty in vitro. Our results show that naïve resting macrophages (M0) do, in fact, directly respond to the stimulus from VEGF or KTP-ELP-VEGF by polarizing to an M2 phenotype, indicated by the increase in CD163 expression. No change in polarization state was seen in response to KTP-ELP, suggesting the effect was indeed mediated by the VEGF moiety. M1 macrophages were relatively insensitive to the polarizing effects of VEGF. These findings strongly indicate that the influx of M2 macrophages observed in vivo may occur secondary to an effect of VEGF on naïve M0 macrophages rather than by shifting the phenotype of M1s.

One perplexing finding is the apparent increase in CD163 in M1 macrophages following VEGF but not KTP-ELP-VEGF. Note that, compared to the untreated M1 control, all M1 groups showed a trend towards decrease in IDO1; however, this was not significant. In the context of persistently high IDO1 expression, the elevated CD163 expression following free VEGF may suggest adoption of a mixed phenotype, supporting the now well-accepted notion that macrophage polarization is more akin to a spectrum, with the M1 and M2 phenotypes being on opposite ends [35]. Experiments showing equivalent activity between VEGF and KTP-ELP-VEGF have been focused on endothelial and tubular cell function such as proliferation and tube formation [18]. It is well established that the effects of VEGF in these cells are primarily mediated through the Flk-1 receptor [36]. Thus, the possibility remains that addition of the KTP-ELP motif impedes binding of VEGF to the Flt-1 receptor, leading to limited effects on M1s marked by high Flt-1 expression. If true, this may contribute to therapeutic efficacy in vivo by shifting binding in favor of Flk-1 and away from Flt-1 and sFlt-1. Further studies may be needed to evaluate this phenomenon.

The shift towards M2 polarization following VEGF stimulus in M0s was associated with dramatically increased mRNA expression of VEGFA as well as its receptor Flk-1. This pronounced effect suggests a potential feed-forward phenomenon wherein binding of the Flk-1 receptor by VEGF acts to increase the cell’s own VEGF production which further stimulates Flk-1 signaling. Taken together, these results suggest that VEGF induces an M2 phenotype characterized by high angiogenic potential and supports a potential role for these cells in prolonging the MV protective effects of a single transient dose of VEGF in RVD.

M2 macrophages do not have a monopoly on angiogenic signaling, as it has been documented that M1s may be a source of VEGF as well [37]. This is consistent with our in vitro results showing that under control conditions, M1s demonstrate markedly higher VEGF expression than M0s. However, in the presence of exogenous VEGF, its expression in M0s increased to levels much greater than that of M1s under any conditions. Notably, we observed that M0s favor expression of the Flk-1 receptor while M1s predominantly express Flt-1 suggesting that differences in receptor expression may explain the contrasting responses to VEGF. Flk-1 is known to mediate the majority of the angiogenic effects of VEGF as it exerts strong mitogenic and prosurvival signals in endothelial cells [38]. In contrast, Flt-1 has been shown to primarily suppress or modulate Flk-1 signaling [36]. Indeed, it has been shown that knockout of Flt-1 leads to unregulated Flk-1 activation and excessive angiogenesis [39]. This suppressive effect of Flt-1 activation may explain the apparent insensitivity of M1s to the VEGF stimulus.

Interestingly, M1 macrophages in vitro showed very high expression of a soluble form of the Flt-1 receptor (sFlt-1). Created by alternative splicing of the Flt-1 gene [36], sFlt-1 retains the extracellular domain of Flt-1 along with its ability to avidly bind VEGF. However, it lacks transmembrane and intracellular motifs, allowing it to be released freely from cells where it can bind and trap free VEGF [36]. sFlt-1 produced by M1s may have acted to neutralize VEGF and KTP-ELP-VEGF, further explaining the relative insensitivity of M1s to VEGF. Elevated sFlt-1 levels have been shown to be detrimental in the kidney, causing glomerular injury and damage to the filtration barrier [40-42]. Given the extensive infiltration of M1 macrophages in chronic renal injury [26], it is possible that secretion of sFlt-1 by M1s may drive the suppression of VEGF signaling and subsequent MV injury in RVD. Furthermore, suppressing sFlt-1 production by modulating or suppressing renal macrophages may be a viable therapeutic strategy though additional studies will be needed to elucidate this in vivo.

The use of human cell lines in controlled in vitro studies allows us to build upon previous work with swine in vivo [12, 26] and provide mechanistic insights to previous associations and support translatability to humans. However, validation of these effects using primary cell culture and in vivo studies specifically targeting macrophages (e.g., macrophage depletion [43, 44]) as well as extended characterization of M1 and M2 macrophages in the presence of a specific macrophage marker in the swine kidney would be necessary in future studies. The animals used in this study were juvenile pigs from both sexes, with RVD as the sole insult. Due to its gradually progressive course, RVD primarily presents in older individuals, with most patients being over 60 [45]. Additionally, most RVD patients present at a relatively advanced stage with multiple comorbid conditions [45]. Thus, studies using older animals with additional insults (e.g., diabetes and obesity [46-48]) will expand our findings and may contribute to their translation. Furthermore, although we showed that the KTP-ELP construct and the fusion of KTP-ELP-VEGF target the kidney independent of the species tested [17, 18], additional studies in the swine model of RVD would be needed to characterize its biodistribution, targeting profile, and safety, as we did with ELP-VEGF [10, 11]. Still, it is important to highlight that the current study supports the plasticity of ELP technology to be fused to different therapeutic agents [10, 11, 49] as well as the possibility of applying ELP-driven strategies in other diseases [49] and in other forms of renal disease [12, 50] which offers the opportunity for more avenues of needed research towards new applications and for the progression of its potential for clinical translation.

In summary, our results demonstrate the importance of renal MV integrity in the pathophysiology of renal injury in the stenotic kidney and expand upon mechanisms of therapeutic angiogenesis as a viable treatment strategy for RVD and CKD. Herein, we demonstrate the efficacy of a novel kidney-specific KTP-ELP-VEGF construct in recovering renal function. Furthermore, we show a novel potential mechanism of M1 macrophages in driving MV rarefaction and establish a direct role of VEGF in modulating macrophages to an angiogenic M2 phenotype, indicating that macrophage modulation may be a prominent mechanism of therapeutic angiogenesis to induce renal recovery.

All animal studies were approved by the Institutional Animal Care and Use Committee at the University of Mississippi Medical Center. Animals were maintained in a pathogen-free dedicated facility and had free access to water and their specific diets.

The authors have no conflicts of interest to disclose.

This work was supported by grants R01HL095638, P01HL51971, P20GM104357, and R01HL121527 from the National Institutes of Health and grants IPA34170267, PRE34380314, and PRE34380274 from the American Heart Association.

Jason E. Engel, PhD: design and execution of experiments, analysis of the results, drafting and editing of the manuscript and figures, and final approval before submission. Maxx L. Williams, MS: execution of the experiments, editing and reviewing of the manuscript, and final approval before submission. Erika Williams, PhD, Camille Azar, and Erin B. Taylor, PhD: execution of some of the experiments, editing and reviewing of the manuscript, and final approval before submission. Gene L Bidwell, PhD: execution of the experiments, editing and reviewing of the manuscript, and final approval before submission. Alejandro R. Chade, MD, FAHA: design and execution of experiments, analysis of the results, drafting and editing of the manuscript and figures, and final editing and submission.

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