Abstract
The triggering receptor expressed on myeloid cells 1 (TREM-1) drives inflammatory responses in several cardiovascular diseases but its role in abdominal aortic aneurysm (AAA) remains unknown. Our objective was to explore the role of TREM-1 in a mouse model of angiotensin II–induced (AngII–induced) AAA. TREM-1 expression was detected in mouse aortic aneurysm and colocalized with macrophages. Trem1 gene deletion (Apoe–/–Trem1–/–), as well as TREM-1 pharmacological blockade with LR-12 peptide, limited both AAA development and severity. Trem1 gene deletion attenuated the inflammatory response in the aorta, with a reduction of Il1b, Tnfa, Mmp2, and Mmp9 mRNA expression, and led to a decreased macrophage content due to a reduction of Ly6Chi classical monocyte trafficking. Conversely, antibody-mediated TREM-1 stimulation exacerbated Ly6Chi monocyte aorta infiltration after AngII infusion through CD62L upregulation and promoted proinflammatory signature in the aorta, resulting in worsening AAA severity. AngII infusion stimulated TREM-1 expression and activation on Ly6Chi monocytes through AngII receptor type I (AT1R). In human AAA, TREM-1 was detected and TREM1 mRNA expression correlated with SELL mRNA expression. Finally, circulating levels of sTREM-1 were increased in patients with AAA when compared with patients without AAA. In conclusion, TREM-1 is involved in AAA pathophysiology and may represent a promising therapeutic target in humans.
Keywords: Inflammation, Vascular Biology
Keywords: Cell migration/adhesion, Innate immunity, Monocytes
Introduction
Nonsyndromic abdominal aortic aneurysm (AAA) is one of the leading causes of cardiovascular death, particularly in men and women over 60 years of age (1). Other defined risk factors associated with the development of AAA include male sexual phenotype, White race, a positive family history, smoking, and atherosclerosis. The mechanisms of AAA formation are complex; they include elastin degradation, collagen remodeling, smooth muscle cell apoptosis, and infiltration of inflammatory cells (2). During the first critical steps of experimental AAA formation, circulating monocytes interact with activated endothelial cells and are recruited into the aortic wall in a biphasic manner. Ly6Chigh classical monocytes (Ly6Chi) dominate the acute phase of injury, whereas Ly6Clow nonclassical monocytes (Ly6Clo) are prevalent thereafter (3). Recruitment to the aortic wall partly depends on GM-CSF (4) and chemokines/chemokine receptors, including CCL2/CCR2, CX3CL1/CX3CR1, and CCL-5/CCR5 axes (5), and adhesion molecules such as selectins. Monocyte differentiation into macrophages and activation are necessary steps for the formation of aneurysms, associated with the local release of inflammatory cytokines (TNF-α, IL-1β) and matrix metalloproteinases (MMPs), which induce arterial wall destruction, subsequent aorta dilatation, and life-threatening aneurysm rupture. Neutrophils present within the aneurysmal wall and the adjacent thrombus also contributes to AAA formation and complications (6). However, there is currently no specific treatment targeting the immunoinflammatory response in AAA and no antiinflammatory medical therapy is available to prevent excessive inflammatory remodeling of the abdominal aortic wall.
Triggering receptor expressed on myeloid cells 1 (TREM-1) is a member of the immunoglobulin superfamily (7, 8) constitutively expressed by neutrophils and monocytes/macrophages. TREM-1 expression increases in response to lipopolysaccharide or other sterile pathogen-associated molecular patterns, following activation of Toll-like receptors and nucleotide-binding oligomerization domain-receptors (8, 9). Engagement of TREM-1, after association with the adapter protein DAP12, results in the production of proinflammatory cytokines, including TNF-α and IL-1β, and chemokines, including IL-8, CCL-2, and CCL-7, along with rapid neutrophil degranulation (10). TREM-1 also regulates myeloid cell migration to inflammatory sites upon bacterial invasion (8, 11). The role of TREM-1 has been mainly investigated in septic shock, but previous studies showed that it is also critical in several sterile inflammation conditions, including atherosclerosis and postischemic myocardial remodeling (12). In a large multicenter cohort of patients with acute coronary syndromes, our group previously found that plasma levels of soluble TREM-1 were an independent predictor of major adverse cardiovascular events (12). Interestingly, LR12 peptide, a decoy receptor that strongly inhibits TREM-1 engagement by competing with its still unknown endogenous ligand, has been shown to modulate innate immune responses following bacterial aggression in rodents (13), pigs (14), and primates (15), resulting in an attenuation of organ dysfunction and improved outcome (13, 14). LR-12 treatment also reduces atherosclerosis development and limits deleterious postischemic cardiac remodeling in mice (12).
In a mouse model of AngII-induced AAA, we showed that both Trem1 gene deletion and pharmacological blockade limit classical monocyte recruitment into the abdominal aorta and decrease AAA severity. Conversely, TREM-1 stimulation using a monoclonal anti–TREM-1 agonist antibody exacerbates monocyte infiltration in the aorta and worsens AAA severity. AngII increases TREM-1 expression in classical monocytes through AngII receptor type I (AT1R) engagement. Finally, we found that TREM-1 orchestrates monocyte mobilization from the spleen as well as aortic wall infiltration through CD62L upregulation. Our findings identify TREM-1 as a new actor in the pathophysiology of AAA, which may represent a novel therapeutic target to combat AAA formation.
Results
Trem1 deficiency limits AAA development in AngII-infused Apoe–/– mice.
Given that TREM-1 is a key regulator of myeloid cell activity and that innate immunity plays a major role in AAA development, we investigated whether TREM-1 was involved in the pathophysiology of AAA. We used a well-validated experimental model of AAA based on AngII infusion in hypercholesterolemic Apoe–/– mice (16). TREM-1 expression was detected in the aorta of Apoe–/– mice after AngII infusion at both mRNA (Figure 1A) and protein levels (Figure 1B), but not after PBS infusion. Using immunofluorescence staining, we showed that TREM-1 colocalized with CD68+ macrophages in the aortic wall (Figure 1B). In order to address the role of TREM-1 in the development of AngII-induced AAA, Apoe–/–Trem1+/+ and Apoe–/–Trem1–/– mice were infused with AngII and key pathophysiological events associated with AAA development were assessed at different time points (Figure 1C) (16). The absence of TREM-1 expression on myeloid cells in Apoe–/–Trem1–/– mice was confirmed by flow cytometry (Figure 1D and Supplemental Figure 1; supplemental material available online with this article; https://doi.org/10.1172/JCI142468DS1). After 28 days of AngII infusion, abdominal aortic diameter was significantly lower in Apoe–/–Trem1–/– mice as compared with control Apoe–/–Trem1+/+ mice (1.2 ± 0.2 mm vs 1.9 ± 0.7 mm, P < 0.05) (Figure 1E). AAA incidence, defined as a 50% increase of aortic diameter, was substantially reduced in Trem1-deficient animals (Supplemental Figure 2), as was lethal aorta rupture (Supplemental Figure 3), without any difference in systolic blood pressure between groups (Supplemental Figure 4). After 7 days of AngII infusion, Trem1 deficiency limited elastin degradation, as assessed by the significantly higher number of elastin layers in the abdominal aorta of AngII-infused Apoe–/–Trem1–/– mice compared with the aorta of AngII-infused Apoe–/–Trem1+/+ mice (4.03 ± 0.19 layers vs 3.30 ± 0.20 layers, P < 0.05) (Figure 1F), without any difference in local Eln mRNA levels between groups (Supplemental Figure 5). The reduction in elastin degradation in Apoe–/–Trem1–/– mice was associated with a decrease of the global MMP activity in the aortic wall, quantified using ex vivo fluorescence molecular tomography imaging (Figure 1G). Given that TREM-1 regulates cytokine production (17, 18), we next investigated the local immunoinflammatory response and found decreased Il1b, Tnfa, Mmp2, and Mmp9 mRNA expression in the aorta of AngII-infused Apoe–/–Trem1–/– mice compared with AngII-infused control mice (Figure 1H). Immunostaining revealed a huge decrease in macrophage content in the aorta of AngII-infused Apoe–/–Trem1–/– mice compared with AngII-infused Apoe–/–Trem1+/+mice at day 7 (Figure 1I). We therefore analyzed early monocyte infiltration in the abdominal aorta by flow cytometry after enzymatic digestion. We found a lower number of infiltrating Ly6Chi classical monocytes in the aorta of AngII-infused Apoe–/–Trem1–/– mice, 3 days after AngII infusion (Figure 1J), but no difference in Ly6Clo nonclassical monocyte and neutrophil numbers between groups (Supplemental Figure 6). Our group previously reported that AngII infusion in Apoe–/– mice promotes the mobilization of classical monocytes from the spleen to the blood, and ultimately to the aortic wall, contributing massively to the macrophage content in the aneurysmal aortic wall (3). Accordingly, at day 3, AngII-induced monocytosis was observed in Apoe–/–Trem1+/+ control mice but was abolished in Trem1-deficient mice (Figure 1K). Conversely, the number of Ly6Chi classical monocytes in the spleen of Apoe–/–Trem1–/– mice (Supplemental Figure 7) was higher, suggesting impaired classical monocyte mobilization from the spleen to the blood in response to AngII infusion in the absence of TREM-1.
Pharmacological blockade of TREM-1 reduces AAA formation.
Our results obtained in genetically modified mice suggest that inhibiting TREM-1 is protective against AAA formation. We aimed to confirm our finding in immunocompetent animals using a pharmacologic inhibitor of TREM-1 activation, validated in rodents and pigs, the dodecapeptide LR12 (12, 14). In a preliminary set of experiments, we found that LR12 treatment during 7 days markedly reduced the inflammatory profile in Apoe–/– mice, with a reduction in Il1b and Tnfa mRNA expression in the aorta of LR12-treated Apoe–/– mice compared with Scramble-treated Apoe–/– mice (Figure 2A). In order to substantiate the effect of TREM-1 pharmacological blockade, AngII-infused Apoe–/– mice were treated with daily intraperitoneal injections of LR12 peptide (which was well tolerated) or Scramble peptide and sacrificed at day 7 (Figure 2B). We did not observe any difference in animal weight (data not shown) or in systolic blood pressure (Figure 2C) between Scramble- and LR12-treated mice. Aorta diameter was significantly lower in LR12-treated Apoe–/– mice than in Scramble-treated Apoe–/– mice (1.19 ± 0.08 mm vs 1.46 ± 0.10 mm, P < 0.05) (Figure 2D), as well as AAA incidence (Figure 2E). TREM-1 pharmacological inhibition reduced elastin layer degradation (3.85 ± 0.19 layers in Scramble group vs 4.36 ± 0.06 layers in LR12 group, P < 0.05) (Figure 2F) and led to a significant reduction in macrophage content in the abdominal aorta (Figure 2G).
TREM-1 stimulation aggravates AngII-dependent AAA development in Apoe–/– mice.
To confirm the pathogenic role of TREM-1 in AAA development, AngII-infused Apoe–/– mice were treated daily with an anti–TREM-1 agonistic antibody (TREM-1 Ab) or isotype control (isotype Ab) for 3 or 7 days, depending on the duration of the experiment (Figure 3A). Previous studies have reported that TREM-1 Ab increases proinflammatory cytokine production by LPS-stimulated monocytes in vitro and aggravates mortality after endotoxemia (19). Here, TREM-1 stimulation in vivo aggravated the systemic proinflammatory response in AngII-infused Apoe–/– mice, as shown by enhanced TNF-α and IL-6 production by splenocytes from TREM-1 Ab–treated mice compared with splenocytes from isotype-treated animals (Figure 3B). Following in vivo TREM-1 Ab treatment, plasma levels of soluble TREM-1, shed after receptor activation, markedly increased (Figure 3C). Membrane TREM-1 expression on Ly6Chi classical monocytes was no longer detected (Supplemental Figure 8), which was likely due to receptor saturation by TREM-1 agonistic antibody.
TREM-1 stimulation aggravated AAA severity at day 28 after AngII infusion, as abdominal aortic diameters were significantly larger in TREM-1 Ab–treated Apoe–/– mice as compared with isotype-treated Apoe–/– mice (2.1 ± 0.7 mm vs 1.5 ± 0.4 mm, P < 0.05) (Figure 3D) and AAA incidence was significantly higher (Figure 3E), without any difference in blood pressure (Supplemental Figure 9). At day 7, TREM-1 stimulation worsened elastin degradation, as revealed by the significantly lower number of elastin layers in the abdominal aorta of AngII-infused mice treated with anti–TREM-1–stimulating monoclonal antibody (3.48 ± 0.09 layers in TREM-1 Ab group vs 3.85 ± 0.03 layers in isotype Ab group, P < 0.05) (Figure 3F). At day 7, TREM-1 aggravated local proinflammatory responses, characterized by an increase in Il1b and Mmp9 mRNA expression in the aorta (Figure 3G). Finally, Ly6Chi classical monocyte infiltration within the aortic wall was significantly increased in the TREM-1 Ab–treated group compared with isotype-treated mice (Figure 3H), without any significant difference in neutrophil and nonclassical monocyte infiltration (Supplemental Figure 10). Ly6Chi classical monocyte levels in the blood were not different between TREM-1 Ab–treated and isotype-treated groups (Figure 3I), suggesting that TREM-1 pathogenic activity was not restricted to the control of spleen monocyte mobilization.
TREM-1 regulates CD62L-dependent classical monocyte infiltration in the aorta.
In order to understand how TREM-1 engagement could regulate classical monocyte trafficking in experimental AAA, we analyzed chemokine receptor and adhesion molecule expression on classical monocytes using mass cytometry 1 day after AngII infusion. CX3CR1 and CCR2 expression was reduced in Trem1-deficient classical monocytes in blood and spleen (Figure 4A), in agreement with our previous study showing that TREM-1 can regulate monocyte trafficking through chemokine/chemokine receptor activity after experimental acute myocardial infarction (12). Locally, we found a significant reduction of Ccl2, Ccl3, Ccl5, Ccr2, and Ccr5 mRNA expression in the aorta of AngII-infused Apoe–/–Trem1–/– mice compared with the aorta of AngII-infused Apoe–/–Trem1+/+ mice (Figure 4B). Conversely, TREM-1 stimulation led to a significant increase in Ccl2, Ccl3, Ccl5, Ccr2, and Ccr5 mRNA expression in the aorta of AngII-infused Apoe–/– (Figure 4C), suggesting that TREM-1 modulates monocyte trafficking partly through the regulation of chemokine/chemokine receptor activity.
We also observed that CD62L expression was markedly decreased on Trem1-deficient circulating Ly6Chi classical monocytes compared with control Ly6Chi classical monocytes, 1 day after AngII infusion (Figure 4, A and D, and Supplemental Figure 11). After 3 days of AngII infusion, we found a significant correlation between CD62L and TREM-1 expression on Ly6Chi classical monocytes in isotype Ab–treated Apoe–/– control mice (Supplemental Figure 12). Furthermore, TREM-1 stimulation increased the percentage of CD62L+ Ly6Chi classical monocytes in the blood (Figure 4E), as well as Sell mRNA expression in the aorta of AngII-infused Apoe–/– mice (Figure 4F). To assess whether CD62L was involved in Ly6Chi classical monocyte early recruitment within the aorta following TREM-1 stimulation, AngII-infused Apoe–/– mice receiving either stimulating TREM-1 Ab or isotype control were treated with an anti-CD62L neutralizing antibody (Figure 4G). CD62L blockade was confirmed by flow cytometry in the blood (Supplemental Figure 13). Interestingly, CD62L blockade abolished the increase of aortic classical monocyte infiltration induced by TREM-1 activation following AngII infusion (Figure 4H).
Angiotensin II upregulates TREM-1 expression in Ly6Chi classical monocytes through AT1R engagement.
Using several complementary AngII-induced experimental models, we demonstrated that TREM-1 controlled AAA development through regulation of monocyte trafficking. Of note, we and others have previously demonstrated that AngII is instrumental in the regulation of splenic-dependent monocyte mobilization and trafficking (3, 20). We therefore hypothesized that AngII might trigger TREM-1 engagement on Ly6Chi classical monocytes during AAA development. To test this hypothesis, we analyzed the myeloid expression of TREM-1 in Apoe–/– male mice infused with PBS or AngII by flow cytometry in blood and spleen at different time points (Figure 5A). At baseline, very few circulating Ly6Chi classical monocytes expressed TREM-1 in Apoe–/– mice, but after 3 days AngII treatment increased membrane TREM-1 expression (Figure 5, B and C) as well as plasma levels of sTREM-1 compared with PBS (Figure 5D). Of note, we did not observe any significant change in membrane TREM-1 expression, either on circulating CD11b+Ly6G+ neutrophils that almost all expressed TREM-1 at baseline, or on Ly6Clo nonclassical monocytes (Supplemental Figure 14 and Supplemental Figure 15). We observed the same phenotype in nonhypercholesterolemic C57BL/6J male mice (Figure 5, E–G, and Supplemental Figure 16, Supplemental Figure 17, and Supplemental Figure 18). Such an increase in TREM-1 expression was not observed after norepinephrine infusion, despite an increase in blood pressure, suggesting that increased TREM-1 expression after AngII infusion was unlikely due to AngII-induced hypertension (Supplemental Figure 19). TREM-1 expression on Ly6Chi classical monocytes and sTREM-1 plasma levels increased similarly in Tlr4+/+- and Tlr4–/–-treated mice on day 3 after AngII infusion (Figure 5, H–J).
In order to assess the role of the 2 primary AngII receptors, AT1R and AT2R, in AngII-mediated TREM-1 upregulation, we used several complementary approaches. First, we analyzed TREM-1 expression on myeloid populations in AT1AMUT mice, a genetically mouse model characterized by AT1AR overactivation (21). When compared with control littermate, the baseline proportion of Ly6Chi classical monocytes expressing TREM-1 was significantly higher in the blood of AT1AMUT mice (Figure 5, K and L). Next, immunocompetent C57BL/6J animals were infused with AngII and treated with PBS, Losartan (an AT1R blocker), or PD123,319 (an AT2R inhibitor) (Figure 5M). At day 3, the AngII-induced increase in TREM-1+ Ly6Chi classical monocytes in the blood was abolished in Losartan-treated mice, but not in PD123,319-treated mice (Figure 5N). The role of AT1R in AngII-mediated induction of TREM-1 expression in classical monocytes was confirmed in Agtr1a-deficient mice (Figure 5O). Altogether, these results suggest that AngII induced TREM-1 expression and activation on classical monocytes through AT1R engagement.
TREM-1 is expressed in the blood and in the aortic wall of patients with AAA.
In order to evaluate the clinical relevance of our results, we assessed TREM-1 expression in human AAA, compared with normal aortas obtained from organ donors. By quantitative PCR (RT-qPCR), we found higher levels of TREM1 mRNA expression in AAA compared with normal aortas. TREM1 mRNA expression was similar in the neck and in the dilated zone of the AAA (Figure 6A). Immunofluorescence staining showed that TREM-1 was barely detectable in normal aortas (Figure 6B), but was strongly expressed in abdominal aneurysm, its expression being mostly confined to CD68+ intimal macrophages (Figure 6, C and D). In addition, we quantified sTREM-1 levels in the plasma of healthy volunteers, patients with atrial fibrillation (AF), and patients with AAA. Patients with AF were selected from an independent cohort and were matched 1/1 with patients with AAA for cardiovascular risk factors. The characteristics of included populations are detailed in Supplemental Table 1. As expected, healthy subjects are younger and have less frequent cardiovascular risk factors. Characteristics of patients with AF or AAA were similar except for smokers, who are more frequent in the AAA group. We found that sTREM-1 plasma levels were more than 3-fold higher in patients with AF (381 ± 238 pg/mL) and in patients with AAA (299 ± 146 pg/mL) when compared with healthy individuals (119 ± 86 pg/mL; P < 0.001). In addition, sTREM-1 plasma levels were significantly higher in AAA patients when compared with AF patients (P = 0.003) (Figure 6E).
Finally, by RT-qPCR, we found higher levels of SELL mRNA expression in AAA compared with normal aortas (Supplemental Figure 20), and SELL mRNA levels significantly correlated with TREM1 mRNA levels in the aorta (Figure 6F).
Discussion
In an AngII-induced mouse model, we identified a pathogenic role for TREM-1 in AAA pathophysiology. TREM-1 orchestrated classical monocyte mobilization from the spleen to the blood through chemokines/chemokine receptors modulation and regulated monocyte infiltration into the aortic wall through CD62L upregulation. In addition, we showed that AngII induced TREM-1 expression on classical monocytes through AT1R engagement, unraveling a relation between the renin-angiotensin system and the TREM-1 pathway.
Early macrophage infiltration in the aortic wall is a hallmark of AAA development both in mouse and in human (22, 23). Macrophages largely participate in aorta wall degradation and remodeling through the production of chemokines, cytokines, and proteases. Macrophages detected in the aneurysmal aorta are mostly derived from circulating monocytes. Our group has previously shown that AngII infusion promotes acute mobilization of classical monocytes from the spleen to the blood within a few days, and such monocytosis is mandatory for experimental AAA formation (3). Interestingly, Trem1 deficiency abolished AngII-induced early monocytosis, and reduced AAA incidence and severity. This is in agreement with our previous finding in experimental acute myocardial ischemia, a condition characterized by acute production of endogenous AngII, showing that monocytosis occurring after coronary occlusion was prevented in Trem1–/– mice, as well as by TREM-1 pharmacological blockade (12). The mechanisms driving splenic monocyte mobilization following AngII stimulation are still in debate. We found a decrease in CCR2 and CX3CR1 expression on classical monocytes at day 1 after AngII infusion in both spleen and blood of Apoe–/–Trem1–/– animals compared with Apoe–/–Trem1+/+ control mice. The preventive effect of Trem1 deficiency on AngII-induced monocytosis was unlikely due to decreased CCR2 expression, as previous work showed that AngII-induced monocytosis was not affected by Ccr2 deficiency (20). CCR5 and its ligand CCL5 are more attractive candidates to explain how TREM-1 orchestrates AngII-induced monocyte mobilization. Mikolajczyk et al. recently reported impaired leukocyte recruitment in the aorta in Ccl5 deficient mice infused by AngII (24). In addition, pharmacological blockade of CCR5 protects against AAA development (5). In our study, Trem1 deletion or pharmacological blockade were associated with a significant reduction in Ccl5 and Ccr5 mRNA expression in the aortic wall, while antibody-mediated TREM-1 stimulation substantially increased their expression. These observations suggest that the CCL5/CCR5 axis was likely involved in the pathogenic effects of TREM-1 in AngII-induced AAA.
Cytometry by time of flight (CYTOF) characterization of classical monocytes at day 1 after AngII infusion revealed a substantial reduction in CD62L expression in Trem1-deficient cells in the spleen and in the blood. Following AngII, TREM-1 expression correlated with CD62L expression on classical monocytes. Moreover, antibody-mediated TREM-1 stimulation increased CD62L expression on circulating Ly6Chi classical monocytes and Sell mRNA levels in the aorta after 3 days of AngII infusion, suggesting that TREM-1 regulated AngII-induced CD62L expression. CD62L, a member of selectin family expressed by leukocytes, plays a pivotal role in endothelial adhesion. CD62L is also involved in AAA pathophysiology, as CD62L-deficient Sell–/–Apoe–/– mice were protected against AAA development. In our study, we found that CD62L blockade abolished the early increase in monocyte infiltration induced by TREM-1 stimulation, suggesting that TREM-1 orchestrated monocyte adhesion through the regulation of CD62L expression. We detected SELL expression in human AAA by qPCR, and SELL mRNA levels substantially correlated with TREM1 mRNA levels. In humans, a marked association between a TREM1 gene polymorphism and CD62L plasma levels has been reported, supporting a pathophysiological link between TREM-1 and CD62L pathways in human AAA disease (25).
The protective effect of TREM-1 blockade might be due to local modulation of vascular inflammation. Il1b and Tnfa mRNA expression was reduced in the aorta of Trem1-deficient mice, and Il1b mRNA expression was increased by TREM-1 stimulation. Both cytokines have been shown to promote experimental AAA (26, 27) through vascular cell activation and immune cell recruitment. Trem1 deficiency also reduced MMP-2, -3, -9, and -13 activities. MMPs have been clearly identified as major contributors in AAA pathophysiology. Levels of active MMP-2 and MMP-9 are substantially increased in human AAA tissue samples (28). In mouse models of AAA, MMP-2 and MMP-9 activities in the aortic wall increase over time (29). In the periaortic CaCl2 injury model of AAA, lesion formation was fully blocked in both Mmp9- and Mmp2-deficient mice (30). MMP-12 is also expressed in mouse (31) and human (32) aortic aneurysmal tissues, mainly by aortic macrophages. While MMP-9 is induced after cell activation, MMP-12 is constitutively expressed by macrophages, and its expression may further be modulated by several stimuli (33, 34). Our group has previously reported that gene deletion of Mmp12 reduced AAA severity in the AngII/anti–TGF-β mouse model (31).
Decreased Il1b and Tnfa mRNA expression, as well as decreased metalloprotease activity in the aorta of AngII-infused Apoe–/–Trem1–/– mice, likely resulted from reduced macrophage content in the aorta. This might also be partly due to the switch of Trem1-deficient macrophage phenotype toward a less inflammatory profile. Indeed, TREM-1 inhibition has been shown to promote an antiinflammatory phenotype in both human monocytes and mouse macrophages after LPS (35) or oxidized LDL stimulation (36) in vitro. Also, in a model of ureteral obstruction–induced nephritis, Trem1 deficiency reduced M1 macrophage polarization within the kidney, as illustrated by decreased Nos2 and increased Arg1 mRNA expression (37).
Vascular protection associated with TREM-1 invalidation/blockade was unlikely mediated by neutrophil modulation. TREM-1 inhibition had no effect on neutrophil mobilization following AngII infusion, nor on neutrophil infiltration in the aortic wall.
TREM-1 is constitutively expressed on neutrophils and nonclassical monocytes (8). In our study, we showed that AngII infusion increased TREM-1 expression specifically on classical monocytes. Using genetically modified mice as gain- and loss-of-function models (AT1A MUT and Agtr1a–/– mice, respectively) and pharmacological agents (AT1R and AT2R blockers), we found that AT1R receptor engagement was instrumental in TREM-1 upregulation, whereas AT2R was not involved. We did not specifically show that AngII directly activated AT1R receptor on monocytes to promote TREM-1 expression, but both AT1R receptor expression on monocytes and AngII-mediated activation have been previously reported (20). TLR4 stimulation is a major trigger of TREM-1 expression and engagement, and TLR4 has been demonstrated to mediate AngII-induced vascular remodeling (38). Here, we found that AngII-induced TREM-1 expression on Ly6Chi classical monocytes in a TLR4-independent manner, since TREM-1 upregulation after AngII stimulation was still observed in Tlr4–/– mice. Following activation, membrane-bound TREM-1 is shed by metalloproteases and released in the milieu. Plasma sTREM-1 has been shown to be increased in sepsis (19) and in acute myocardial infarction, both in mice and human (12). In our study, we observed that baseline sTREM-1 was barely detected in the plasma of C57BL/6J and Apoe–/– mice but was markedly increased following AngII infusion and remained elevated for 14 days, suggesting prolonged TREM-1 activation.
Despite the central role of the immune response in the development of AAA (1), most of the therapeutic strategies targeting innate immune pathways have failed so far (39); a few are still being tested in clinical trials (40). We believe that a TREM-1 inhibition–based multitarget approach, as obtained with the inhibitory LR12 dodecapeptide, might provide extended benefit and will be worthy of clinical testing. The relevance of such an approach is further supported by our clinical findings of increased levels of TREM1 mRNA expression in human aortic aneurysms and the significant increase in sTREM-1 plasma levels in AAA patients. The safety, tolerability, and pharmacokinetics of TREM-1 blockade using LR-12 peptide Nangibotide in healthy volunteers have been validated (41) and a proof-of-concept therapeutic trial is currently ongoing in patients with sepsis (ClinicalTrials.gov identifier: NCT04055909) (42). We speculated that patients with small AAA represent the population of choice that could benefit from LR-12 treatment to limit AAA growth, because TREM-1 inhibition would prevent continuous myeloid cell recruitment into the aortic wall, sustained pathogenic MMP activity, and vascular inflammation.
In conclusion, we identify TREM-1 as a critical contributor to AAA pathophysiology through the regulation of both monocyte trafficking and vascular wall inflammation. Targeting TREM-1 could represent a novel potential therapeutic approach to limit AAA expansion in human that should be evaluated in the future.
Methods
Human samples analysis.
Human samples were obtained from patients with AAA and from organ donors at the University Hospital of Nice (Nice, France). This study involves a previously published clinical cohort (43, 44). The diagnosis of AAA was defined as a dilatation of the abdominal aorta with a diameter greater than 30 mm and was checked by a vascular surgeon based on CT scans. Blood samples were obtained after a peripheral vein puncture after 8 to 12 hours fasting. They were collected in 5 mL BD Vacutainer tubes coated with EDTA. Samples were centrifuged at 20°C for 10 minutes at 3000g and aliquots of plasma were stored at –80°C until analysis. Infrarenal abdominal aortic tissue was harvested from patients undergoing elective open AAA repair. Healthy abdominal aortic tissue was obtained from patients in a state of brain death. Tissues were immediately snap frozen in liquid nitrogen and stored at –80°C. Plasma levels of TREM-1 were also measured in a cohort of patients with atrial fibrillation having the same CV risk factors than patients with AAA (Saint-Antoine Hospital, AP-HP, Paris, France; FASTRHAC cohort, ID RCB: 2014-A00280-47; Clinical Trial.gov: NCT02741349).
RNA extraction and analysis.
RNA from tissue samples was extracted using Trizol (Life Technologies). For qPCR, RNA was reverse transcribed using Quantitec Reverse Transcription Kit (Qiagen). Reverse-transcribed cDNAs were quantified by TB Green Premix Ex Taq–based (Tli RNase H Plus, TaKaRa Bio) qPCR using specific oligonucleotides on a StepOnePlus Real-Time PCR apparatus (Thermo Fisher Scientific). The relative amount of all mRNA was calculated using the comparative ΔΔCt method using peptidylprolyl isomerase A (PPIA), coding for cyclophilinA as housekeeping gene. The following primer sequences were used: TREM1: forward 5′-GCC TTG TGC CCA CTC TAT ACC A-3′, reverse 5′-TGG AGA CAT CGG CAG TTG AC-3′; SELL: forward 5′-TTA CCT CTG CAT GTA CCT TCA TCT G-3′, reverse 5′-CAC CCT CCT TAA TCA TTG AGA AAC TT-3′; PPIA A: forward 5′-GCA TAC GGG TCC TGG CAT CTT GTC C-3′, reverse 5′-ATG GTG ATC TTC TTG CTG GTC TTG C-3′.
Soluble TREM-1 levels.
TREM-1 plasma concentration was measured using Quantikine ELISA Human TREM-1 Immunoassay (DTRM10C, R&D Systems). The assay was performed according to the manufacturer’s protocol.
Immunofluorescence staining.
The specimens were fixed in formalin and embedded in paraffin (FFPE). Double immunofluorescence was performed as follows. The FFPE sections were first incubated overnight with a TREM-1 goat polyclonal antibody (AF1278, R&D Systems) at 1:50 dilution (45) and revealed with an anti-goat biotinylated secondary antibody at 1:500 (BA-9500, Vector Laboratories), followed by a streptavidin–Alexa Fluor 488 conjugate at 1:500 (S32354, Thermo Fisher Scientific). After rinsing, the sections were incubated with a second primary monoclonal mouse anti-CD68 antibody at 1:100 (M081401-2, clone KP1, Agilent Technologies) to characterize macrophages. Sections were revealed by an anti–mouse antibody conjugated to Alexa Fluor 594 at 1:500 (A-21203, Thermo Fisher Scientific). Negative controls were obtained by omitting one of the primary antibodies.
Animal studies.
Apoe–/– Trem1–/– mice (null for both Apoe and Trem1 genes) have been described previously (45). AT1AMUT mice, exhibiting a constant activation of angiotensin II receptor type 1A signaling, were provided by E. Clauser (Paris Research Cardiovascular Center, Inserm U970, Paris, France) (21). Agtr1a–/– mice have been previously described (46). Tlr4–/– mice were a gift of S. Akira (Department of Host Defense, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan) and were provided by F. Pène (Institut Cochin, Inserm U1016, CNRS UMR8104, Université de Paris, Paris).
Angiotensin II infusion.
Angiotensin II (Sigma-Aldrich) was infused in 8- to 10-week old male mice via subcutaneous osmotic pumps (Alzet) releasing a constant concentration of 1000 ng/kg/min for a maximum of 28 days. Maximum abdominal aortic diameters were assessed by measuring external aortic diameter from images taken at the end of the experiment. AAA incidence was determined using a threshold (1.38 mm) corresponding to a 50% increase of the mean maximum abdominal aortic diameter of a pool of normal Apoe–/– mice.
Norepinephrine infusion.
Norepinephrine (Sigma-Aldrich) in 0.2% ascorbic acid was infused in 8- to 10-week old male mice via subcutaneous osmotic pumps (Alzet, Charles River Laboratories) releasing a constant concentration of 5.6 mg/kg/j for 3 days.
AT1R and AT2R blockade.
C57BL/6J mice (Janvier Labs) were injected intraperitoneally with PBS, AT1AR blocker (Losartan potassium, 40 mg/kg/d, Abcam), or AT2R blocker (PD123,319, 10 mg/kg/d, Sigma-Aldrich) 3 days before pump implantation and until the end of the experiment. Blood was harvested just before pump implantation and after 3 days of AngII infusion.
Anti–TREM-1 monoclonal antibody.
Apoe–/– mice were infused with AngII (1000 ng/kg/min) for 3, 7, or 28 days. Animals were blindly randomized to receive a monoclonal anti–TREM-1 agonistic antibody (TREM-1 Ab, 0.2 mg/kg/d, MAB1187, clone 174031, R&D Systems) or an IgG isotype control antibody (isotype Ab, 0.2 mg/kg/d, MAB006, clone 54447, R&D Systems) intraperitoneally once a day for 3, 7, or 5 days, respectively. These experiments were repeated several times in order to perform different tissue analyses.
Anti-CD62L monoclonal antibody.
A functional grade neutralizing purified anti–mouse CD62L antibody (CD62L Ab, 0.1 mg/kg/d, 16-0621-86, clone MEL-14, eBioscience) was intravenously injected on day 0 and day 1 in mice infused with AngII and subjected to TREM-1 Ab or isotype Ab treatment for 3 days (47).
TREM-1 inhibitory peptide LR-12.
LR12 (LR12, LQEEDAGEYGCM) and LR12-scramble (Scr, the inactive control peptide containing the same amino acids but in a randomized sequence order) were chemically synthesized (Pepscan Presto BV) as COOH terminally amidated peptides. The correct peptides were obtained with greater than 99% yields and were homogeneous after preparative purification, as confirmed by mass spectrometry and analytic reversed-phase high-performance liquid chromatography. These peptides were free of endotoxin. Animals were blindly randomized to receive 150 μg per mouse of LR12 or LR12-scramble peptides intraperitoneally once a day for 7 days. This dose was shown to inhibit TREM-1 pathway activation in studies on septic shock (14, 15) and acute myocardial infarction (12).
Characterization of aneurysmal lesions.
The suprarenal region of the abdominal aorta, subjected to AAA development, was harvested and embedded in both cryostat and paraffin and 7-μm thick sections were used for histology and immunohistochemistry analysis. Sections were stained with Orcein (MMFrance) for detection of elastin layers. The mean number of elastin layers was quantified by a researcher blinded to the experimental protocol (4 measurements/section, 8 sections/mouse). Sections were stained for macrophages using a rat anti–mouse CD68 primary antibody (MCA1957, clone FA-11, AbD Serotec) revealed with an anti–rat Cy5 secondary antibody (712-175-153, Jackson ImmunoResearch). The percentage of cellular area positive for CD68 staining (macrophages) was quantified using Histolab software (Microvision) and the CD68+ area/total aortic wall area (media+adventitia) ratio was calculated. TREM-1 immunostaining and colocalization with macrophages were detected using a polyclonal goat anti-mouse TREM-1 antibody (AF1187, R&D Systems), revealed with an anti–goat Cy5 secondary antibody (705-175-147, Jackson ImmunoResearch), and rat anti–mouse CD68 antibody revealed with an anti-rat AF188 secondary antibody (712-545-153, Jackson ImmunoResearch). In each experiment, histology quantifications were done by a researcher blinded to the experimental protocol.
Splenocytes culture and quantitation of cytokine release.
Splenocytes were cultured in RPMI 1640 medium supplemented with Glutamax (Thermo Fisher Scientific), 10% FCS, and antibiotics. For cytokine measurements, 1 million splenocytes were stimulated with LPS (10 μg/mL), with or without IFN-γ (100 IU/mL) for 24 hours. IL-10, IL-1β, IL-6, and TNF-α production in the supernatants was measured using specific ELISAs (R&D Systems, BD Biosciences).
Quantitation of plasmatic sTREM-1 release.
Mouse plasma was obtained by centrifugation of heparinized blood collected from the retroorbital sinus. The concentration of sTREM-1 was determined using a commercially available ELISA (DuoSet; R&D Systems), according to the manufacturer’s instructions.
Fluorescence molecular tomography (FMT) imaging.
Twenty-four hours before sacrifice, AngII-infused animals were anesthetized with isoflurane and received 150 μL intravenously of a fluorescent imaging probe MMPsense 680 (NEV 10126, PerkinElmer). The probe is optically silent in its unactivated state and becomes highly fluorescent following activation by MMPs including MMP-2, -3, -9, and -13. Images were acquired using a fluorescence molecular imaging system (FMT 2500TM, VisEnMedical).
Flow cytometry.
Animals were perfused with cold PBS and whole aortas were rapidly cleaned and harvested under a dissection microscope. Aortas were minced and incubated for 30 minutes at 37°C in an enzymatic digestion cocktail (collagenase I, 450 U/mL, Sigma-Aldrich), collagenase XI (125 U/mL, Sigma-Aldrich), hyaluronidase (60 U/mL, Sigma-Aldrich), DNAse (60 U/mL, Sigma-Aldrich), and elastase (0.372 U/mL, Sigma-Aldrich). Leukocyte suspension was obtained from spleen after meshing, and blood, spleen, and aorta extracellular antigens were stained with fluorescence-labeled anti–mouse antibodies (see below) for 30 minutes at 4°C. Flow cytometric acquisitions were done on a BD LSRFortessa (BD Biosciences) and data were analyzed using FlowJo Software (TreeStar). Forward scatter (FSC) and side scatter (SSC) were used to gate the live cells, red blood cells, debris, cell aggregates, and doublets being excluded. In the blood and in the spleen, neutrophils were identified as CD11b+/Ly6G+ and monocytes as CD11b+/Ly6G–, Ly6Chi or Ly6Clo. In the aorta, Ly6Chi classical monocytes were identified as CD45+/CD11b+/Ly6G–/F4/80lo-CD64lo/CD11c–-MHCII–/Ly6Chi.
The following primary conjugated antibodies were used for the staining in the aorta: anti-CD45 (Alexa Fluor 700, clone 30-F11, BD Biosciences), anti-CD11b (BV605, clone M1/70, BD Biosciences), anti-Ly6C (APC-Cy7, clone AL-21, BD Biosciences), anti-Ly6G (BUV395, clone 1A8, BD Biosciences), anti-CD64 (BV421, clone X54-5/7.1, Biolegend), anti-F4/80 (PE, clone CI:A3-1, Abcam), anti-CD11c (PerCP-Cy5.5, clone HL3, BD Biosciences), anti-MHC-II (BV510, clone M5/114.115.2, BD Biosciences), anti-TREM-1 (APC, clone 174031, R&D Systems), anti-CD3 (PE-Cy7, clone 145-2C11, BD Biosciences), and anti-CD45R (B220) (BUV496, clone RA3-6B2, BD Biosciences).
The following primary conjugated antibodies were used for the staining in the blood and in the spleen: anti-CD11b (PE-Cy7, clone M1/70, eBioscience), anti-Ly6C (FITC, clone AL-21, BD Biosciences), anti-Ly6G (PE, clone 1A8, BD Biosciences), anti-TREM-1 (APC, clone 174031, R&D Systems), anti-CD62L (eFluor 450, clone MEL-14, eBioscience).
Quantitative real-time PCR.
Quantitative real-time PCR was performed using a Step-one Plus (Applied Biosystems). Gapdh cycle threshold was used to normalize gene expression: forward 5′-CGTCCCGTAGACAAAATGGTGAA-3′; reverse 5′-GCCGTGAGTGGAGTCATACTGGAACA-3′. The following primer sequences were used: Trem1: forward 5′-TGCGGTTGTTTCCTCTCCTGGTCTTG-3′, reverse 5′-TGTGAAATAGACACCGCTGAAGGTCACT-3′; Il1b: forward 5′-GAAGAGCCCATCCTCTGTGA-3′; reverse 5′-GGGTGTGCCGTCTTTCATTA-3′; Tnfa: forward 5′-GATGGGGGGCTTCCAGAACT-3′, reverse: 5′-CGT GGG CTA CAG GCT TGT CAC-3′; Mmp2: forward 5′-CCGAGA CCGCTATGTCCACTGT-3′, reverse 5′-CCGGTCATCATCGTAGTTGGTTGT-3′; Mmp9: forward 5′-CCGTCATTCGCGTGGATAAGGAGT-3′, reverse 5′-GTAGCCCACGTC CACCTGGTT-3′; Ccl2: forward 5′-CCCCACTCACCTGCTGCTA-3′, reverse 5′-TACGGGTCAACTTCACATTCAAA-3′; Ccl3: forward 5′-CACTGCCCTTGCTGTTCTTCTCTGT-3′, reverse 5′-ATCTGCCGGTTTCTCTTAGTCAGGA-3′; Ccl5: forward 5′-CCCCCGCACCTGCCTCACCAT-3′, reverse 5′-TTGGCACACACTTGGCGGTTCCTT-3′; Ccr2: forward 5′-AAGAGGGCATTGGATTCACCACAT-3′, reverse 5′-ATGCCGTGGATGAACTGAGGTA-3′; Ccr5: forward 5′-GGTGAGACATCCGTTCCCCCTACAA-3′, reverse 5′-CAGGAGCTGAGCCGCAATTTGTTTC-3′; Sell: forward 5′-CGCATTCTCGGGGCTGGCATTTCT-3′, reverse 5′-CTCTAATGTGGGAGATGCCTGCGTGTAA-3′. Relative expression was calculated using the ΔΔCt method. For the microarray gene analysis, total RNAs were retrotranscribed with RT2 First Strand Kit (SABiosciences, Tebu-bio) for PCR arrays (Mouse Innate Immune Profiler PCR Arrays; SABiosciences). All PCRs were performed in a MyiQ Thermal Cycler and quantified by iQ5 software (Qiagen). PCR array results were analyzed using PCR Array Data Analysis Software (SABiosciences) and normalized with 5 house- keeping genes (GEO accession GSE161216).
Mass cytometry (CYTOF).
Cells from spleen and blood were resuspended at 1 × 107 cells per mL and stained with cisplatin (5 μM) for 5 minutes at room temperature to assess viability. Cells were washed with PBS plus 0.5% BSA at 500g for 10 minutes. Surface staining was performed by adding a cocktail of preconjugated and homemade-conjugated antibodies (see below) for 30 minutes at room temperature; excess antibodies were removed by washing. Cells were fixed and permeabilized using the FoxP3 Fixation/Permeabilization kit from Invitrogen according to the manufacturer’s instructions. Intracellular staining was performed by adding antibodies for 30 minutes at room temperature; excess antibodies were removed by washing. Cells were stained with cell-ID Intercalator-Ir in fixation and permeabilization solution (Fluidigm protocol). Prior to the acquisition, fixed cells were washed with PBS twice and deionized water twice. Cells were resuspended at 5 × 105 per mL in 1:10 calibration beads (EQ Four Element Calibration Beads, Fluidigm), diluted with deionized water and the samples were analyzed with the Helios mass cytometer (Fluidigm) at a flow rate of 0.030 mL per minute. Mass cytometry data were normalized using MatLab method.
For data analyzing, live CD45+ CD11b+ Ly6Chi/lo cell population was extracted as a new.fcs file using Flowjo and uploaded on Cytobank platform to run unsupervised analysis using the spanning-tree progression analysis of density-normalized events (SPADE) algorithm. The SPADE algorithm generates trees illustrating the relationship between clusters of cells based on a density-dependent downsampling followed by agglomerative clustering to prevent rare cells from being overlooked among the more abundant cellular population.
The following preconjugated and homemade-conjugated primary antibodies were used for surface staining: anti-CD45 (clone HI30, Fluidigm, 89Y-conjugated), anti-CD11c (clone N418, Fluidigm, 209Bi-conjugated), anti-CD4 (clone RM4-5, Fluidigm, 172Yb-conjugated), anti-Ly6C (clone HK1.4, Fluidigm, 162Dy-conjugated), CD45R (B220) (clone RA3-6B2, Fluidigm, 160Gd-conjugated), anti-CD8a (clone 53–6.7, Fluidigm, 153Eu-conjugated), anti-CD3e (clone 145-2C11, Fluidigm, 152Sm-conjugated), anti-Ly6G (clone 1A8, Fluidigm, 151Eu-conjugated), anti-CD19 (clone 6D5, Fluidigm, 149Sm-conjugated), anti-CD11b (clone M1/70, Fluidigm, 148Nd-conjugated), anti-F4/80 (clone BM8, Fluidigm, 146Nd-conjugated), anti-TCRb (clone H57-597, Fluidigm, 143Nd-conjugated), anti-CD69 (clone H1.2F3, Fluidigm, 145Nd-conjugated), anti-CD54 (clone YN1/1.7.4, Fluidigm, 163Dy-conjugated), anti-CD62L (clone MEL-14, Fluidigm, 164Dy-conjugated), anti-CD161 (clone PK136, Fluidigm, 165Ho-conjugated), anti-CD206 (clone C068C2, Fluidigm, 169Tm-conjugated), anti-CD44 (clone IM7, Fluidigm, 171Yb-conjugated), anti-I-A/I-E (clone M5/114.15.2, Fluidigm, 174Yb-conjugated), anti-CD25 (clone 3C7, Fluidigm, 150Nd-conjugated), anti-CCR5 (clone 645807, R&D Systems, 147Sm-conjugated), anti–GMCSF-R (clone 698423, R&D Systems, 156Gd-conjugated), anti-TCRgd (clone GL3, Fluidigm, 159Tb-conjugated), anti-CXCR2 (clone 242216, R&D Systems, 167Er-conjugated), anti-TREM-1 (clone 174031, R&D Systems, 170Er-conjugated), anti-CXCR1 (clone Q810W6, R&D Systems, 173Yb-conjugated), anti-CCR2 (clone 475301, R&D Systems, 175Lu-conjugated), and anti-CX3CR1 (clone 1H14L7, Thermo Fisher Scientific, 176Yb-conjugated). Anti-Foxp3 (clone FJK-16s, Fluidigm, 158Gd-conjugated) antibody was used for intracellular staining.
Statistics.
Values are expressed as mean ± SEM. Differences among values were examined using the nonparametric Mann-Whitney, Kruskal-Wallis tests when appropriate and were considered significant at P less than 0.05.
Study approval.
All animal experiments were conducted according to the guidelines formulated by the European community for experimental animal use (L358-86/609EEC) and were approved by the ethical committee of INSERM and the French Ministry of Agriculture (agreement A75-15-32). The study was conducted according to the Declaration of Helsinki and was approved by the institutional ethics committee (Comité de Protection des Personnes Sud Méditerranée V, protocol 17-030, Collection MCV, ID-RCB: 2017-AO1019-44 and PFS16-007). All enrolled patients gave written informed consent.
Author contributions
MV conducted experiments, acquired data, analyzed data, performed statistical analysis, and wrote the manuscript. YZ, ISZ, RAR, JJ, AG, LL, BE, FP, JV, A Boufenzer, LG, CG, A Boissonnas conducted experiments, acquired data, analyzed data. PB performed immunostaining in human samples. JR, FL and GC collected human AAA samples and performed qPCR in human aortas. EC provided transgenic mice. SL and LSD provided AF plasma cohort. A Boufenzer and MD provided LR12 peptide. AT, ZM, A Boissonnas, ST, JSS, GC drafted of the manuscript. HAO designed the experiments, analyzed data, performed statistical analysis, drafted of the manuscript and obtained funding for the project. All authors discussed and critically revised the manuscript.
Supplementary Material
Acknowledgments
This work was supported by Inserm (ZM, ST, AT, HAO), an ANR program (ANR 2018, ANR-18-CE14-0009-01; to HAO), the FRM (Fondation pour la Recherche Médicale, DEQ20161136699), and the British Heart Foundation (to ZM). We thank Joseph Murcada for his technical assistance.
Version 1. 12/01/2020
In-Press Preview
Version 2. 01/19/2021
Electronic publication
Footnotes
Conflict of interest: MD is cofounder of INOTREM, a company developing TREM-1 inhibitors. A Boufenzer, MD, and HAO applied a patent on the measurement of plasma sTREM-1 concentration to predict outcome in cardiovascular diseases and applied for a patent on therapeutic strategies using inhibiting peptides derived from TREM-1 (patent no. WO2014037565A2; Inhibiting peptides derived from triggering receptor expressed on myeloid cells-1 (trem-1) trem-like transcript 1 (tlt-1) and uses thereof).
Copyright: © 2021, American Society for Clinical Investigation.
Reference information: J Clin Invest. 2021;131(2):e142468.https://doi.org/10.1172/JCI142468.
Contributor Information
Marie Vandestienne, Email: marie.vandestienne@inserm.fr.
Yujiao Zhang, Email: yujiao.zhang@inserm.fr.
Icia Santos-Zas, Email: icia.santos-zas@inserm.fr.
Rida Al-Rifai, Email: rida.al-rifai@inserm.fr.
Jeremie Joffre, Email: jeremiejoffre@yahoo.fr.
Andreas Giraud, Email: andreasgiraud@live.fr.
Ludivine Laurans, Email: ludivine.laurans@inserm.fr.
Bruno Esposito, Email: bruno.esposito@inserm.fr.
Florence Pinet, Email: florence.pinet@pasteur-lille.fr.
Patrick Bruneval, Email: patrick.BRUNEVAL@egp.aphp.fr.
Juliette Raffort, Email: juliette.raffort@hotmail.fr.
Fabien Lareyre, Email: fabien.lareyre@gmail.com.
Jose Vilar, Email: jose.vilar@inserm.fr.
Amir Boufenzer, Email: ab@inotrem.com.
Lea Guyonnet, Email: guyonnet.lea@gmail.com.
Eric Clauser, Email: eric.clauser@inserm.fr.
Jean-Sébastien Silvestre, Email: jean-sebastien.silvestre@inserm.fr.
Sylvie Lang, Email: sylvie.lang@aphp.fr.
Laurie Soulat-Dufour, Email: laurie.dufour@aphp.fr.
Alain Tedgui, Email: alain.tedgui@inserm.fr.
Ziad Mallat, Email: zm255@medschl.cam.ac.uk.
Soraya Taleb, Email: soraya.taleb@inserm.fr.
Alexandre Boissonnas, Email: alexandre.boissonnas@upmc.fr.
Marc Derive, Email: md@inotrem.com.
Giulia Chinetti, Email: giulia.chinetti@unice.fr.
Hafid Ait-Oufella, Email: hafid.aitoufella@inserm.fr.
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