Abstract
Reversal of ischemia is mediated by neo-angiogenesis requiring endothelial cell (EC) and pericyte interactions to form stable microvascular networks. We describe an unrecognized role for tumor necrosis factor–related apoptosis-inducing ligand (TRAIL) in potentiating neo-angiogenesis and vessel stabilization. We show that the endothelium is a major source of TRAIL in the healthy circulation compromised in peripheral artery disease (PAD). EC deletion of TRAIL in vivo or in vitro inhibited neo-angiogenesis, pericyte recruitment, and vessel stabilization, resulting in reduced lower-limb blood perfusion with ischemia. Activation of the TRAIL receptor (TRAIL-R) restored blood perfusion and stable blood vessel networks in mice. Proof-of-concept studies showed that Conatumumab, an agonistic TRAIL-R2 antibody, promoted vascular sprouts from explanted patient arteries. Single-cell RNA sequencing revealed heparin-binding EGF-like growth factor in mediating EC-pericyte communications dependent on TRAIL. These studies highlight unique TRAIL-dependent mechanisms mediating neo-angiogenesis and vessel stabilization and the potential of repurposing TRAIL-R2 agonists to stimulate stable and functional microvessel networks to treat ischemia in PAD.
Endothelial-derived TRAIL stimulates angiogenesis and blood vessel function in peripheral artery disease.
INTRODUCTION
Peripheral artery disease (PAD) affects >230 million people worldwide (1). Correcting the ischemia caused by PAD is a key component of current surgical revascularization techniques, but patients still experience disease progression characterized by vessel thrombosis, ulceration, and gangrene. These complications of severe PAD often necessitate surgical amputation of limbs. Alarmingly, by 2050, >3.5 million US citizens are expected to live without a limb (2). Surgical revascularization and amputation merely address the immediate complications of PAD while the underlying disease processes continue to place patients at risk of further adverse limb and cardiovascular outcomes.
One therapeutic approach is to stimulate angiogenesis and bypass the arterial occlusion, restoring the nutrient supply necessary for tissue survival. “Therapeutic angiogenesis” has been studied experimentally but attempts to achieve this in people using angiogenic factors such as vascular endothelial growth factor (VEGF) have failed (3). These treatments did not adequately maintain stability of the newly formed endothelial cell (EC) vessels, which were underdeveloped, disorganized, and leaky, like those observed in tumor vasculature (4). To generate functional microvessel networks in ischemia, pericyte investment is essential, but processes mediating angiogenesis and EC-pericyte cross-talk are not fully understood. Microvessel development and function is disrupted in cardiovascular diseases, and this limitation has driven the need to better understand processes mediating blood vessel formation and stabilization in ischemia.
Tumor necrosis factor–related apoptosis-inducing ligand (TRAIL) was discovered almost 30 years ago for its unique ability to selectively kill human cancer cells upon binding to its apoptosis-inducing receptors, TRAIL-R1 and TRAIL-R2 [also known as death receptors 4 and 5; (DR4 and DR5, respectively)]. TRAIL-mediated signaling in mice is similar except that only one signaling receptor exists at the protein level, TRAIL-R (also DR5). In contrast to the canonical apoptosis-inducing function of TRAIL, we identified alternate non-apoptotic functions in the vasculature (5–13). Using a mouse model of PAD, Trail−/− mice developed limb necrosis associating with a marked reduction in vascularization and blood perfusion (11). We and others have shown that exogenous TRAIL administration stimulated angiogenic processes in vitro and in vivo (11, 14, 15). Whether TRAIL can stimulate stable microvasculature in PAD is unknown.
We have discovered that EC-derived TRAIL modulates EC-pericyte interactions for effective microvessel function so that stable blood vessel networks are created. We identified that ECs are a major contributor of circulating TRAIL levels, compromised in patients with PAD, and associating with reduced numbers of stable microvessels in ischemic amputated tissues. Activation of TRAIL-R restored blood perfusion, vascularization, and vessel stabilization in mice. Proof-of-concept studies showed that Conatumumab, a human agonistic TRAIL-R2 monoclonal antibody (mAb) used in cancer therapy (16), stimulated angiogenic sprouts ex vivo in vessels isolated from patients with PAD. Together, these data suggest that TRAIL-R2 agonist therapy could be a feasible means to increase limb perfusion by improving blood vessel function and promoting stable microvascular networks, a potentially life-changing outcome for these patients.
RESULTS
TRAIL and TRAIL-R2 expression and interaction are augmented in 24-hour hypoxia in ECs
The impact of hypoxia on TRAIL or TRAIL receptor gene expression in ECs is unclear. To examine this, human microvascular EC-1 (HMEC-1) were exposed to hypoxic (2% O2) or normoxic conditions over 24 hours. Trail and Trail-R2 mRNA was ~2- and ~1.5-fold higher after the induction of hypoxia, with no changes to Trail-R1 mRNA (Fig. 1A and fig. S1). TRAIL and TRAIL-R2 surface protein expression was also amplified with 24-hour hypoxia, with no change in total TRAIL-R1 protein expression (Fig. 1, B to D). TRAIL physically interacted with TRAIL-R2 but not TRAIL-R1 under normal conditions, and this interaction was further augmented with hypoxia (Fig. 1E). These results indicate that TRAIL–TRAIL-R2 signaling may be relevant in PAD.
Reduced plasma TRAIL levels in patients associate with reduced numbers of stable microvessels with ischemia
We collected plasma from 11 patients with PAD and found that circulating TRAIL levels were markedly reduced compared to those in 12 healthy individuals, whereas TRAIL-R2 levels were increased (Fig. 2, A and B, and table S1). Muscle tissues were collected following below-knee amputation, and ischemic tissues had lower stable microvessel numbers (CD31+SMA+vessels < 50 μm in diameter, arrows) (Fig. 2, C and D), associating with impaired endothelial-dependent vasodilation (Fig. 2E). Single-cell RNA sequencing (scRNA-seq) of mononuclear cells from nonischemic and ischemic muscle tissue from a patient identified four EC (EC1 to EC4) populations (fig. S2, A and B). scRNA-seq revealed the endothelium as a substantial source of TRAIL, and its expression reduced with ischemia (fig. S2, C and D, and Fig. 2F); ischemia was verified by ~3.5-fold increased Hif1α mRNA (fig. S2E). Trail mRNA was also suppressed in ischemic limbs of wild-type mice after hindlimb ischemia (HLI), our preclinical model of PAD, associating with reduced blood perfusion to the limbs (fig. S2, F and G). Moreover, hypoxia-inducible Trail mRNA expression was no longer evident in HMEC-1 at 7 days (fig. S2H). Because NADPH oxidase-4 (NOX4) is downstream of TRAIL and is critical for endothelial function and angiogenesis in lower extremity ischemia (11, 17), Nox4 mRNA was measured, and its expression was also reduced with ischemia in patient limbs (Fig. 2G). Thus, under chronic conditions of ischemia or hypoxia, suppression of TRAIL may compromise EC function(s) including processes of angiogenesis and vessel stabilization.
ECs are a major cellular and circulating source of TRAIL in mice
To examine the contribution of EC-derived TRAIL to angiogenesis and vessel stabilization, we generated EC-specific Trail−/− (TrailEC−/−) mice. Quantitative polymerase chain reaction (qPCR) analysis of the CD31+ EC population isolated from TrailEC−/− lung and brain confirmed deletion of Trail mRNA, but not of its receptor, Trail-R (fig. S3, A and B). In contrast, Trail and Trail-R mRNA levels were unaltered in vascular smooth muscle cell–rich aortae between each genotype (fig. S3C). We examined aortae of adult TrailEC−/− and TrailEC+/+ mice to assess whether EC-specific TRAIL deletion affected large vessel architecture. No change in media area was observed, nor there were differences in collagen or elastin content (fig. S3D). The absence of TRAIL in the endothelium did not affect plasma cholesterol, insulin, or glucose levels, but plasma TRAIL levels were reduced in TrailEC−/− by ~60% (table S2), indicating that ECs are a major source of TRAIL in the circulation.
EC-derived TRAIL stimulates neo-angiogenesis and pericyte recruitment and wrapping
Pericyte investment is critical to forming healthy and sustainable vasculature, which stabilizes and matures nascent blood vessels. Without proper acquisition and pericyte coverage, EC microvascular functions are compromised. For example, reduced EC-pericyte association results in vascular leak and impaired blood flow (18). We found significantly more leakage (~2-fold) into highly vascularized organs of TrailEC−/− mice (Fig. 3A). We next examined the contribution of EC-derived TRAIL to facilitate blood vessel formation using the Matrigel plug assay as a model of angiogenesis. Capillary density and perivascular cell content in plugs from TrailEC−/− were ~60 and 50% less than in plugs from TrailEC+/+ mice (Fig. 3, B and C, arrows). Because pericytes are defined by ≥2 markers, we assessed the most common, NG2 (neural/glial antigen 2), RGS5 (regulator of G protein signaling 5), and PDGFRβ (platelet-derived growth factor receptor–β) and found ~50% reduction in mRNA of each within the plug (Fig. 3D). In vitro, Trail+/+ ECs formed ~50% more tubules than Trail−/− ECs at 6 hours, dissociating by 24 hours (Fig. 3E and fig. S4A). Primary pericytes also had a threefold increased capacity to migrate to Trail+/+ but not Trail−/− ECs (Fig. 3F). Further, physiological doses of recombinant TRAIL stimulated primary pericyte proliferation and migration but not of a pericyte precursor cell line, 10 T1/2, suggesting that TRAIL may be responsible for recruitment and proliferation of mature pericytes (fig. S4, B to E). Exposure of pericytes to Trail+/+ but not Trail−/− EC tubules prolonged their survival to 24 hours (Fig. 3G). These confirm that TRAIL-expressing ECs are important for angiogenesis, pericyte recruitment, and wrapping, which is necessary for vessel stabilization.
TrailEC−/− mice have impaired microvascular networks in ischemia
HLI causes major ischemia in skeletal muscle of limbs. TrailEC−/− gastrocnemius tissues had a significant reduction in stable microvessels 3 days after HLI and remained reduced at day 28 (Fig. 4, A and B; CD31+SMA+ < 50 μm in diameter, arrows), associating with reduced blood perfusion over time (Fig. 4C). There was no change in larger vessel numbers (fig. S5A). Consistent with reduced pericyte investment, a ~50% reduction in Ng2 and Pdgfrβ but not Rgs5 mRNA was observed in ischemic tissues of TrailEC−/− mice at day 3 (Fig. 4D). Furthermore, TrailEC−/− aortic explants exposed to hypoxia exhibited diminished sprout numbers and sprout length (Fig. 4, E to G).
scRNA-seq identifies altered gene expression profiles with ischemia in TrailEC−/− mice
To examine the molecular determinants of EC processes dependent on TRAIL signaling, we performed scRNA-seq of mononuclear cells isolated from control and ischemic tissues of TrailEC−/− and TrailEC+/+ mice 3 days after HLI, where stable microvessel numbers and pericyte marker expression are reduced (Fig. 4, A and D). Unlike the human setting, mice presented with seven EC (EC1 to EC7) and one lymphatic EC (LEC) subtypes (fig. S6, A to C). We identified 3636 differentially expressed genes (DEGs) in the EC1 to EC7 populations. Interrogation of these in ischemic TrailEC+/+ tissues showed enrichment for positive adenosine 5′-triphosphate synthesis and metabolic processes, translation, mitochondrial organization, and aerobic respiration, findings not observed in TrailEC−/− ischemic limbs (fig. S7, A to C and tables S4 and S5).
We next examined TRAIL expression and found that it was enriched in all EC populations in TrailEC+/+ mice (fig. S6, D and E). In response to ischemia, TRAIL expression was reduced in EC5, EC7, EC1, EC2, EC4, and LEC by 67.8, 62.9, 40.7, 22.0, 22.8, and 13.6%, respectively (fig. S6E). We could not assess TRAIL expression in EC6 as this group was completely absent after ischemia (fig. S6B). In contrast, EC3 showed increased TRAIL expression by 38%, implying that this microvessel population could contribute to TRAIL’s beneficial effects in ischemia (fig. S6, E and F, and table S3). Inspection of the up-regulated DEGs within this EC subtype identified many pro-angiogenic genes (Table 1).
Table 1. Top 20 up-regulated genes in response to ischemia in EC3.
Gene | Log2 fold change | Adjusted P value | Function | Ref |
---|---|---|---|---|
Ndufb11 | 1.23 | 1.14 × 10−11 | Mitochondrial complex 1 protein | |
Ppp1r14b | 1.14 | 0.022004177 | Involved in tumor growth, invasion, and metastasis | (55) |
Hbb-bs | 1.09 | 0.000483603 | Regulates nitric oxide signaling in ECs | (56) |
Atp5d | 1.06 | 3.17 × 10−8 | Subunit of mitochondrial ATP synthase | (57) |
D8Ertd738e | 1.06 | 0.004163821 | Hypothetical protein | |
Atp5g1 | 1.02 | 0.008927662 | Subunit of mitochondrial ATP synthase | |
Ubb | 0.98 | 2.22 × 10−27 | Antiangiogenic | (58) |
Ndufb9 | 0.97 | 1.27 × 10−7 | Accessory subunit mitochondrial membrane respiratory chain NADH dehydrogenase | |
AY036118 | 0.97 | 1.47 × 10−31 | Hypothetical protein | |
Ifi27 | 0.97 | 0.001347498 | Increases angiogenesis and tumour growth | (59) |
Fabp5 | 0.96 | 5.97 × 10−5 | Promotes tumor angiogenesis through IL-6/Stat6/VEGF | (60) |
Eef1d | 0.96 | 7.48 × 10−8 | Up-regulated in osteosarcoma; stimulates tumor growth | (61) |
Cmss1 | 0.94 | 1.14 × 10−46 | Promotes tumor angiogenesis by activating PI3K/Akt/mTOR | (62) |
Atp5o | 0.93 | 0.001164086 | Subunit of mitochondrial ATP synthase | |
Snrpb | 0.92 | 0.000293218 | Oncogene | (63) |
Ndufb7 | 0.92 | 2.44 × 10−6 | Mitochondrial complex 1 subunit | |
Nenf | 0.90 | 0.002421906 | Up-regulated in ischemia and improves EC function | (64) |
Edf1 | 0.90 | 2.13 × 10−6 | Regulates EC differentiation | (65) |
Ctsz | 0.88 | 6.49 × 10−6 | Stimulates angiogenesis | (66) |
Pkm | 0.87 | 0.042740906 | Involved in glycolysis |
TRAIL signals facilitate EC-pericyte communication
We next assessed EC-to-pericyte communications using CellChat (19). Multiple signals were enriched in the EC1 to EC7 population when comparing control versus ischemic TrailEC+/+ limbs, including the most studied EC-pericyte signal, PDGFβ-to-PDGFRβ (fig. S8A). When we directly compared EC-pericyte signals in ischemic limbs between genotype, many pathways were altered (fig. S8B). Of interest, heparin-binding EGF-like growth factor (HBEGF) signals were absent in TrailEC−/− ischemic limbs (fig. S8B, arrows). HBEGF is known to regulate pericyte recruitment via its receptors EGFR and ERBB2 (20–22). Notably, TRAIL was reported to increase HBEGF transcription in ECs (23), suggesting that this pathway may be important. Validation studies confirmed ~50% reduction in Hbegf in Trail−/− versus Trail+/+ ECs, whereas the negative control Lamc1 mRNA was unchanged (Fig. 5A). Erbb2 mRNA was reduced in TrailEC−/− limb tissues, with no changes to Egfr (Fig. 5B). HBEGF receptors were also expressed in primary pericytes (Fig. 5C). Human ischemic versus nonischemic muscle showed reduced mRNA expression for Hbegf and Erbb2 but not Egfr (Fig. 5D). We examined the TRAIL-HBEGF link further; administration of recombinant HBEGF to TrailEC−/− gastrocnemius increased stable blood vessel numbers and improved blood reperfusion 14 days after HLI (Fig. 5, E and F). This was, in part, through increased expression and phosphorylation of endothelial nitric oxide synthase (eNOS) (Fig. 5G). These findings highlight the TRAIL-HBEGF axis in mediating EC-pericyte communications necessary for stable microvessel formation in ischemia.
TRAIL-R activation stimulates stable microvessels in ischemia
We next tested whether TRAIL-R activation could promote microvascular networks in Trail−/− and Trail+/+ ECs. EC proliferation and tubule formation were increased with an agonistic anti-mouse TRAIL-R mAb, MD5-1 (Fig. 6, A and B). MD5-1 also increased angiogenic sprouting ex vivo, whereas Trail-R−/− aortic rings exhibited impaired sprouting (Fig. 6, C and D). In HMEC-1, agonistic TRAIL-R2 mAb stimulated proliferation, migration, and tubule formation (Fig. 6, E to G). In contrast, TRAIL-R1 neutralization had no effect on TRAIL-dependent in vitro processes of angiogenesis (Fig. 6, H and I). We next administered MD5-1 directly to ischemic TrailEC−/− limbs. MD5-1 restored blood perfusion and increased stable microvessel numbers at 7 days (Fig. 7, A and B), a finding associated with increased expression of Hbegf, Erbb2, and Egfr mRNA (Fig. 7C). In contrast, Trail-R−/− ischemic limbs had reduced blood perfusion and reduced stable microvessel numbers after HLI (Fig. 7, D and E); no change in large vessel numbers was observed with treatment or genotype (fig. S5, B and C). Furthermore, Conatumumab increased sprouting by >50% in blood vessels isolated from ischemic regions of human amputated limbs (Fig. 7, F and G). Collectively, these indicate that TRAIL receptor activation stimulates stable microvessel formation and repurposing Conatumumab, an agonistic TRAIL-R2 mAb developed for cancer therapy, could be a very real possibility in stimulating stable blood vessel networks as a treatment of PAD.
DISCUSSION
Patients with PAD have a higher risk of all-cause cardiovascular mortality, with a risk of stroke or heart attack equal to patients with coronary artery disease (24). Even after successful revascularization, the systemic health impact of PAD persists, with more hospitalizations, reinterventions, and reduced life expectancy versus any other patient group with atherosclerosis (25). With no major advances in revascularization techniques in the last two decades, an approach to increase blood perfusion by injection of therapeutics to improve vessel function and stimulate stable microvascular networks could be life-changing for these patients. This study sought to identify the critical molecules involved in reversing the effects of ischemia. We discovered five key findings: (i) the endothelium is a major source of TRAIL in the circulation; (ii and iii) EC-derived TRAIL stimulated stable microvascular networks forming EC tubes, recruiting pericytes, increasing pericyte wrapping, and prolonging microvessel survival. Notably, the importance of the HBEGF pathway in TRAIL-dependent EC-pericyte communications was identified. (iv) TRAIL was suppressed in PAD, associating with impaired EC function, and reduced stable microvessel numbers with ischemia; and (v) activating the TRAIL-R2 in vitro, in preclinical PAD, and ex vivo in human blood vessels isolated from patient amputations increased stable microvessel networks. A summary of these findings is illustrated in Fig. 8. Our study provides knowledge as to how EC-derived TRAIL promotes microvessel development in ischemia, characterizing non-apoptotic functions and laying the foundations for TRAIL receptor agonists for therapeutic use in people with ischemic vascular conditions.
ECs play an essential role in vascular homeostasis, and EC dysfunction contributes to every stage of PAD (26). Our work previously revealed the non-apoptotic effects of TRAIL in ECs. Specifically, physiological doses of TRAIL protected ECs from death, reduced EC reactivity, and improved endothelial integrity in response to oxidative damage (13). Global TRAIL deletion in mice also impaired endothelial-dependent arterial vasodilation, increased inflammation, and accelerated atherosclerosis (6, 7, 10, 11, 13), whereas TRAIL promoted angiogenesis by increasing p-eNOS and nitric oxide production (15, 27) in a NOX4-mediated manner (11), a finding supported by others (17, 28). It is important to note the limitations of the HLI model of PAD. While this model induces lower extremity ischemia, it is more representative of acute limb ischemia, rather than a chronic atherosclerosis model. Nevertheless, our findings are important because TRAIL levels are reduced in patients with atherosclerotic diseases (7, 13, 29) and circulating TRAIL levels predict poor prognosis in coronary artery disease (30, 31), heart failure (31), and acute myocardial infarction (32), but its role in PAD is unclear. We previously estimated that ~30% of plasma TRAIL was derived from cells originating in the bone marrow (7). We now show that ~60% of TRAIL in the circulation is produced by the endothelium but suppressed in patients with high-risk PAD. scRNA-seq data from muscle biopsies showed reduced Trail mRNA in ECs (33) and in capillaries (34) from PAD versus healthy age-matched individuals, supporting our work. Our findings suggest that reduced TRAIL levels in the circulation and tissue reflect impaired EC function(s). How the newly identified downstream gene targets affect TRAIL-dependent EC processes in PAD pathophysiology is now unknown and requires further elucidation.
Pericytes reside within the basement membrane of microvessels including in terminal arterioles, precapillary venules, and capillaries, adhering to the surface of ECs via peg-socket interactions. The resulting connection and cross-talk influence the formation, stabilization, and remodeling of the microvasculature. We discovered that EC-derived TRAIL is a molecular facilitator of EC-pericyte cross-talk mediated by HBEGF. Hbegf mRNA was reduced in ECs lacking TRAIL but increased in TrailEC−/− limbs treated with MD5-1. HBEGF administration improved blood perfusion in TrailEC−/− ischemic limbs by increasing the formation of stable microvessels. Given that agonistic TRAIL-R2 stimulates the EGFR in cardiomyocytes (35), TRAIL signaling may be a common upstream mechanism activating this pathway. Patients with PAD have reduced plasma HBEGF levels (36), further supporting our findings. While the current study focused on HBEGF, other EC-pericyte pathways were also identified and absent with TRAIL deletion in the endothelium including PDGFβ-PDGFRα. EC-pericyte communication is complex and intricately linked. HBEGF and PDGFβ jointly regulate pericyte recruitment and vessel stabilization (20), but whether TRAIL-HBEGF-PDGFβ signals collectively mediate EC-pericyte processes for effective microvessel formation and stabilization is not clear.
In this study, we show that TRAIL-R activation stimulates stable microvessel formation in ischemia. In contrast, studies in cancer showed that activation of TRAIL-R on tumor ECs promoted apoptosis, disrupted endothelial integrity, and attenuated tumor growth in mice (37). EC-specific TRAIL deletion in mice did not affect tumor growth or tumor vascularization, instead lung metastasis was increased (38), with greater intracellular versus cell surface TRAIL expression (38). This highlights the complexity of TRAIL signaling under altered conditions. To stimulate apoptosis, cancer treatments often use much greater levels of TRAIL and MD5-1 (37, 39) compared to the concentrations used in the current study. Super clustering of signaling receptors allows for higher order oligomerization, which promotes apoptosis via lipid rafts, whereas non-raft–mediated TRAIL receptor interactions stimulate survival pathways (40, 41). In addition to binding TRAIL-R1 and TRAIL-R2 in humans, TRAIL can also bind three decoy receptors (DcR1, DcR2, and osteoprotegerin). In mice, only osteoprotegrin has been identified as a decoy receptor at the protein level. How TRAIL interacts with its decoy receptors or the functional consequence of this in our study is unknown. Whether differences in phenotype between cardiovascular disease and cancer are attributed to intracellular or extracellular TRAIL detection and/or receptor expression is uncertain.
In contrast to TRAIL’s apoptosis-inducing effects in cancer, we have shown that activation of TRAIL signals improves vascular homeostasis in PAD, potentially reducing the incidence of amputation. MD5-1 treatment stimulated stable microvessels in ischemia, improving blood perfusion to the lower limbs in mice, and Conatumumab increased angiogenic sprouts from patient arteries ex vivo. Our study highlights the genuine potential for future trials to fast track Conatumumab or other TRAIL-R2 agonists already available for human use with more timely treatment of PAD.
MATERIALS AND METHODS
Human studies
Patients ≥ 18 years old presenting with chronic limb–threatening ischemia, requiring below knee amputation at Royal Prince Alfred Hospital, Sydney, Australia, were recruited. Healthy individuals ≥ 18 years old were also recruited for blood sampling. Exclusion criteria for the healthy cohort included known peripheral vascular disease, cardiovascular disease, cerebrovascular disease, and autoimmune disease. Patients and healthy individuals gave a written informed consent. Blood plasma was isolated, snap frozen, and stored at −80°C. After the limb was surgically removed, skeletal muscle from the tibialis anterior (close to the amputation site; nonischemic) and flexus hallucis longus (ischemic) were collected, fixed in formalin, or snap frozen. For myography, arteries were dissected from subcutaneous fat within the nonischemic or ischemic regions (lateral midfoot). All procedures were approved by the Sydney Local Health District Human Ethics Committee (X20-0183; Sydney, Australia).
Animal studies
Trail−/− mice were originally sourced from Amgen (42). Trail-R−/− mice were provided by G. Gores (Mayo Clinic, Minnesota, USA). Mice were rederived (C57BL/6J background) and bred at Australian BioResources. C57BL/6J mice were also purchased from Australian BioResources. A mix of male and female adult mice was used. Mice were housed with 12:12-hour light-dark cycles with free access to food and water. Mice were anesthetized by inhalation of 3% isoflurane prior to euthanasia via cardiac exsanguination or cervical dislocation. Blood plasma was stored at −80°C. Indicated tissues were harvested, either snap frozen or formalin fixed. All procedures were approved by the Sydney Local Health District Animal Welfare Committee (2014-027, 2017-020, 2017-024, 2019-030, and 2021-015; Sydney, Australia) and Sydney Local Health District Institutional Biosafety Committee (13-019, 18-021, and 23-027; Sydney, Australia).
Sex as a biological variable
Although samples included both sexes, sex was not considered as a biological variable in this study.
Generation of TrailEC−/− mice
Mice with Trail floxed allele were generated by Ozgene (Bentley, Australia). To create a targeted vector, a flippase recognition target (FRT)–flanked phosphoglycerate kinase I neomycin cassette was inserted downstream of exon 5 of the Trail gene, flanked by LoxP sites. The construct was electroporated into genomic DNA of embryonic stem (ES) cells from C57BL/6J mice. The targeted ES cells were injected into C57BL/6J blastocysts to produce chimeric mice, which were crossed with C57BL/6J mice to generate Trail+/flox-neo mice. The FRT-flanked neomycin cassette was removed by crossing with Rosa26-FlpE mice. These mice were crossed with VE-Cadherin Cre (Jackson Laboratory) to generate EC-specific Trail−/− (TrailEC−/−) mice. Genotyping primer sequences are wild-type primer_01 forward: ATGGACCTGGATCAAGAAGCC and primer_02 reverse: GTCTCTCGATGAAACACCGAAAG producing a product of 252 base pairs (bp); and TRAIL knockout primer_04 forward: CTTTGACCCCACCACAGTCTAATC and primer_02 reverse producing a product of 511 bp. For Cre, we used the following primers: 2173_transgene forward CCAGGCTGACCAAGCTGAG and 2174_transgene reverse CCTGGCGATCCCTGAACA.
Hindlimb ischemia
Hindlimb ischemia surgeries were performed as previously described (11). Briefly, mice were anesthetized with isoflurane, then the proximal and distal ends of the left femoral artery were ligated, and the artery and side branches were dissected free. The right leg was used as a control. Where described, 1 μg of recombinant mouse HBEGF or vehicle control (saline) was administered by intramuscular (I.M.) injection in the ischemic gastrocnemius 2 days before surgery, on the day of surgery, and then daily for 14 days (endpoint). MD5-1 or immunoglobulin G (IgG; 1 μg; control) was administered by I.M. injection in the ischemic gastrocnemius 2 days before, 2 days after, and 6 days after surgery, with endpoint at 7 days.
Myography
Isolated subcutaneous fat was placed in a modified Krebs-Henseleit solution. Arteries (277 ± 10 mm, SEM diameter; n = 4 segments per patient) were dissected, cleaned, and cut into 2-mm segments that were mounted on tungsten wires (40 mm diameter) on a myograph (Danish Myo Technology) at 37°C in Krebs-Henseleit solution and gassed with 5% CO2 in O2. Tension was measured using isometric force displacement transducers and recorded using LabChart V8Pro (ADInstruments). Once mounted, arteries were normalized to an internal diameter that produced 90% of 13.3 kPa (43). Arteries were contracted using 120 mM KCl until a stable contraction was reached, then washed out, rested for 30 min, and tested for endothelium-dependent relaxation using acetylcholine or endothelium-independent relaxation using sodium nitroprusside.
Tissue culture
HMEC-1 (Centers for Disease Control and Prevention, MTA M1224I) were maintained in MCDB 131 medium (Gibco) including supplements (11). The pericyte precursor cell line, 10 T1/2 (American Type Culture Collection), was cultured in Dulbecco’s modified Eagle’s medium (DMEM; Gibco) (44). Primary ECs were isolated and cultured as described (45). Primary pericytes were isolated and cultured in 2% serum-containing pericyte medium (ScienCell) (46). Cells were maintained at 37°C in a humidified atmosphere of 5% CO2. In hypoxia (2% O2), cells were maintained in serum-deprived conditions. Primary ECs were not used beyond passages 1 and 2. Pericytes were not used after nine passages.
RNA isolation and qPCR
RNA was isolated from cells and tissues using TRI Reagent (Sigma-Aldrich) or the RNeasy Fibrous Tissue Mini Kit (QIAGEN) (7, 8, 11). cDNA was generated using the iScript cDNA synthesis kit (Bio-Rad, Australia), and qPCR was performed using iQ SYBR (Bio-Rad, Australia) in a CFX96 thermocycler (Bio-Rad, Australia). The ∆∆cT method was used to assess relative mRNA changes, normalized to β-actin or Hprt. Primer sequences are in table S6.
Western blotting
Western blotting was performed as previously described (13). Cellulose membranes were incubated with antibodies to TRAIL-R1 (1:200, overnight 4°C, R&D Systems), p-eNOS (1:500, overnight 4°C, Cell Signaling Technology), eNOS (1:500, overnight 4°C, Cell Signaling Technology), and β-actin (1:5000, 1 hour at room temperature; Sigma-Aldrich). Proteins were detected with horseradish peroxidase–conjugated secondary anti-goat, anti-mouse, or anti-rabbit antibodies (1:1000, 1 hour at room temperature, Dako) and visualized using the ChemiDoc MP imaging system (Bio-Rad).
Total internal reflection fluorescence microscopy
HMEC-1 cultured on glass bottom 35-mm dish (FluoroDish) were formalin fixed and stained with anti-TRAIL antibody (1:100, overnight 4°C, Abcam) and anti-rabbit Alexa 647 (1 hour at room temperature, Thermo Fisher Scientific). Phalloidin-Alexa488 (1:500, 30 min at room temperature, Thermo Fisher Scientific) was used to detect actin. Images were captured using an Olympus cellTIRF-4Line system based on an Olympus IX81 inverted microscope (47).
Flow cytometry
HMEC-1 were blocked in 10% bovine serum albumin and then stained with anti-human TRAIL-R2 mAb (20 μg/ml; Novus Biological) or IgG (Life Technologies) and anti-rabbit fluorescein isothiocyanate (FITC;1:500, BD Biosciences) for 45 min at 4°C. Cells were fixed with 10% formalin and run on a BD FACSVerse Flow Cytometer. Data analyzed with FlowJo (v10.8.1), and geometric mean of viable populations was quantified.
Duolink proximity ligation assay
Duolink Proximity Ligation Assay (Sigma-Aldrich) was performed according to the manufacturer’s instructions. Cells were incubated with primary mAb (1 μg/ml; TRAIL-R2, Novus-Biologicals; TRAIL-R1, Abcam; and TRAIL, Abcam or R&D Systems) or appropriate IgG overnight at 4°C. Slides were mounted with 4′,6-diamidino-2-phenylindole (DAPI) Fluoromount-G (SouthernBiotech) and imaged using the Zeiss Axio Imager Z2. Six images were captured per group and analyzed with ImageJ. The red fluorescence intensity per image was quantified and normalized to the number of DAPI-positive nuclei.
Human enzyme-linked immunosorbent assays
TRAIL (R&D Systems) and TRAIL-R2 (Abcam) were measured in plasma according to the manufacturer’s instructions.
Histology
Immunofluorescence was performed on formalin-fixed 5-μm sections with the following antibodies. Human: CD31 (R&D Systems), smooth muscle α-actin (SMA; Sigma-Aldrich), and laminin (Novus Biologicals); mouse: CD31 (Abcam or R&D Systems), smooth muscle actin (Sigma-Aldrich), and laminin (Novus Biologicals). Slides were mounted with DAPI Fluoromount-G mounting medium. Control sections were negative. Hematoxylin and eosin, Van Gieson’s, and Picrosirius red stains were performed on aortae. Images were captured using a Zeiss Axio Imager Z2 or Zeiss Axio Scan.Z1 microscope and analyzed with Zen 3.6 software (Zeiss) or ImageJ.
Mouse plasma chemistries
Plasma glucose was measured by glucometer (Lifesmart). Insulin (Mercodia), cholesterol, (Wako Diagnostics), and TRAIL (Cloud-Clone Corp.) were assessed according to the manufacturer’s instructions.
Permeability assay
Adult mice injected intravenously with 200 μl of 0.5% Evans Blue (Sigma-Aldrich) were euthanized 30 min later. Tissue was collected and Evans Blue was extracted as described (13).
Matrigel plug assay
Matrigel (500 μl; growth factor reduced; Corning) containing 500 ng of fibroblast growth factor–2 (Sigma-Aldrich) was injected subcutaneously into the flank of mice. Plugs were harvested at 28 days and fixed in formalin for immunofluorescence or snap frozen for gene expression.
Tubulogenesis assays
Serum-arrested primary murine ECs or HMEC-1 were seeded onto Matrigel coated μ-Slide Angiogenesis plates (iBidi) or 96-well plates in serum-free or 1% fetal bovine serum (FBS)–containing medium. Images were captured using a Zeiss 800 microscope at indicated times. Area of tubule formation was measured by WimTube on Wimasis Image Analysis, or the number of tubules per field of view was counted using ImageJ.
Cell proliferation
Cells were seeded into 96-well plates (10,000 cells per well) and, the following day, were serum arrested for 24 hours. Cells were treated with antibodies or recombinant human TRAIL (R&D Systems) as indicated. Total cell numbers per well were counted 24 hours later using a haemocytometer or Coulter Counter (Beckman). Where relevant, cell counts were normalized to their respective controls.
Migration assay
Transwell assay: 50,000 serum-arrested cells were seeded into 8-μm-pore transwell inserts. After 8 hours of migration, the membranes were washed (phosphate-buffered saline), fixed, and stained with DiffQuik. Images were captured using an Olympus IX70 microscope. Migrated cells (as a measure of fold change compared to control) per field of view was determined. Scratch assay: Serum-arrested cells in six-well plates were scratched using a sterile P20 tip. Images of the scratch before and 24 hours following treatment were captured using an Olympus IX71. Scratch area before and after cell migration was measured using ImageJ to determine % of scratch closure (48).
Single-cell RNA sequencing
Gastrocnemius muscle was collected, prepared (49), and pooled (n = 2 per genotype) for mouse studies. Human tissues collected (Fig. 2C) from one patient were also prepared. The 10x Genomics Chromium System (10x Genomics Inc., San Francisco, CA) was used. scRNA-seq libraries were generated following capture (50). Raw scRNA-seq reads were processed (Cell Ranger, v6.0.2) (50) and aligned to the mouse (mm10-20202-A) or human (GRCh38-2020-A) reference transcriptome. Downstream analysis was performed in R (v4.2.3); quality control was conducted using Seurat (v4.3.0), SeuratObject (v4.1.3) (51), and DoubletFinder (v2.0.3) (52). Data clustering, visualization, and DEG analysis were performed using Seurat (v4.3.0). The quality control and clustering steps for mouse and human sequences are shown in tables S7 and S8. Expression matrices were normalized and scaled by Seurat’s “SCTransform” method. Cell clusters were annotated using known cell markers (fig. S6B). EC/pericyte clusters were further analyzed. DEGs were determined using Seurat’s “FindMarkers.” Genes were considered significantly differentially expressed when expressed in at least 10% of cells analyzed with adjusted P value of <0.05. DEGs were displayed using EnhancedVolcano (v1.20.0). Enriched gene ontology (GO) terms were identified by overexpression analysis using clusterProfiler (53). GO terms with P value of <0.05 and q value of <0.1 were considered significantly enriched. Cell-cell interactions were investigated using CellChat (19). Differences in ligand-receptor pairs were determined using “netVisual_bubble” function comparison parameter and considered significant with a P value of <0.05.
MD5-1
MD5-1 was purified from hybridomas (54). Effects of MD5-1 were compared to those of hamster IgG (LifeSpan Biosciences).
Aortic explant sprouting assay
Aortic rings (1 mm) were transferred to Matrigel-coated wells, overlayed with additional Matrigel, and incubated in DMEM (Sigma-Aldrich) with 10% FBS, l-glutamine, penicillin, and streptomycin. Vessels were placed in normoxic/hypoxic conditions, and antibodies were applied as indicated. Medium containing antibodies was replaced every 2 to 3 days. Images were captured at indicated times using an Olympus IX71 microscope. Sprout number was counted, and the total length of all sprouts was measured using ImageJ. A minimum of two to three vessel segments per treatment per genotype were analyzed and averaged.
Human vessel sprouting
Blood vessels from ischemic region of amputated limbs were collected, cut into 1- to 2-mm rings, then transferred to Matrigel-coated wells, and overlayed with additional Matrigel. Segments were incubated in MCDB 131 medium (Gibco) containing 5% FBS, hydrocortisone, epidermal growth factor, l-glutamine, and penicillin/streptomycin, with Conatumumab (500 ng/ml; obtained from Amgen, master agreement number 2013583585) or control IgG. Medium containing antibodies was replaced every 2 to 3 days. Images were captured using an Olympus IX71 microscope at day 7. Sprouting area was outlined, and sprout area was quantified and normalized to the vessel area using ImageJ. A minimum of two to three vessel segments per treatment per patient were analyzed and averaged.
Statistics
Results expressed as means ± SEM. Statistical comparisons were made using Students t tests, Mann-Whitney U test, one- or two-way analysis of variance (ANOVA), with Bonferroni’s or Šídák’s multiple comparisons posttest, where appropriate. Outliers were identified and excluded. Unless indicated, GraphPad Prism version 10.01 was used. P < 0.05 was considered significant.
Acknowledgments
We thank the vascular surgery team, particularly L. Beattie and L. Turner for coordinating the sample collection and assisting with ethics at the Royal Prince Alfred Hospital, Sydney, Australia. We also thank M. Murphy for technical assistance and M. Geaghan for additional quality control on the scRNA-seq data.
Funding: This work was supported by the National Health and Medical Research Council of Australia (GNT2028501 and GNT1188218 to S.P.C. and M.M.K; and GNT1188503 and GNT2021463 to A.R.P.), the Heart Foundation Future Leadership Fellowship (107335 to A.R.P.), and the Heart Research Institute (S.P.C. and M.M.K.).
Author contributions: Conceptualization: S.P.C., M.S.P., J.M., I.A., R.G., R.P.H., D.A.R., S.P., M.M.K., and T.S.G. Methodology: S.P.C., M.S.P., L.B., C.P.S., R.P., J.M., Q.P.S., R.G., J.E.P., A.R.P., J.L., D.A.R., S.P., and M.M.K. Investigation: S.P.C., M.S.P., E.K., N.L., L.B., C.P.S., P.M.C., J.M., Q.P.S., J.E.P., S.P., and M.M.K. Visualization: S.P.C., M.S.P., E.K., N.L., L.B., C.P.S., A.R.P., and M.M.K. Funding acquisition: S.P.C., R.G., A.R.P., D.A.R., and M.M.K. Project administration: S.P.C., D.A.R., S.P., and M.M.K. Supervision: S.P.C., R.P.H., A.R.P., S.P., and M.M.K. Writing—original draft: S.P.C., M.S.P., E.K., L.B., C.P.S., and M.M.K. Writing—review and editing: S.P.C., M.S.P., E.K., N.L., L.B., C.P.S., M.I.D., R.P., J.M., R.G., J.E.P., R.P.H., A.R.P., T.S.G., J.L., S.J.A., and M.M.K. Resources: S.P.C., L.B., C.P.S., R.G., J.E.P., R.P.H., A.R.P., T.S.G., D.A.R., and M.M.K. Data curation: S.P.C., E.K., C.P.S., J.M., and M.M.K. Validation: S.P.C., M.S.P., E.K., N.L., L.B., C.P.S., P.M.C., M.I.D., D.A.R., and M.M.K. Formal analysis: S.P.C., M.S.P., E.K., N.L., L.B., C.P.S., M.I.D., Q.P.S., J.E.P., and M.M.K. Software: M.S.P., M.I.D., Q.P.S., J.E.P., and A.R.P.
Competing interests: M.M.K. is an inventor on patent application PCT/AU2024/050407 submitted by the Heart Research Institute on 26 April 2024. The status of this application is pending. The other authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. All sequencing data from this study has been submitted to the Gene Expression Omnibus (www.ncbi.nlm.nih.gov/geo/) under accession numbers GSE266788 for human and GSE242268 for mouse datasets. Trail−/− and Trail-R−/− mice and Conatumumab can be provided by Amgen Extramural Alliance pending scientific review and a completed material transfer agreement. Human amputated tissues can be provided by the Sydney Local Health District pending scientific review and a completed material transfer agreement.
Supplementary Materials
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