1. Introduction
Atherosclerosis is a chronic inflammatory disease of the arterial vessel wall and a leading cause of death worldwide [
1,
2]. Its pathogenesis is characterized by the infiltration and accumulation of lipids and immune cells in the intimal arterial vessel wall. Macrophages are the dominant immune cell population within atherosclerotic lesions and critically determine plaque development and stability [
1]. Beyond cytokine production, macrophage proliferation, apoptosis and efferocytosis are key processes in atherosclerotic plaque development. Local macrophage proliferation contributes substantially to lesional expansion in early disease, whereas increased apoptosis combined with impaired efferocytosis in advanced plaques promotes necrotic core formation and plaque destabilization [
3,
4].
Although macrophages exhibit a broad (heterogeneous) spectrum of characteristics, a conceptual model distinguishes between two opposing extremes: classically activated, proinflammatory M1 macrophages and alternatively activated, reparative M2 macrophages. M1 and M2 macrophages differ in receptor expression, cytokine/chemokine profile, and effector functions [
5]. M1-like macrophages predominantly produce pro-inflammatory mediators such as tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β, whereas M2-like macrophages secrete anti-inflammatory cytokines and contribute to tissue repair and the resolution of inflammation. Progressing plaques are characterized by the enrichment of M1-like macrophages, whereas regressing lesions display a relative predominance of M2-like macrophages [
6].
Endothelial activation and monocyte recruitment are early events in atherogenesis [
7]. Circulating monocytes adhere to activated endothelial cells and transmigrate into the arterial intima, where they differentiate into macrophages and accumulate within the developing lesion. This process is mediated by adhesion molecules expressed on activated endothelial cells, including intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), and E-selectin, which facilitate firm monocyte adhesion and diapedesis [
7,
8].
TNF-α is a well-established activator of vascular endothelial cells [
9]. It is primarily expressed by immune cells—particularly monocytes/macrophages (M1 phenotype) and T lymphocytes—as a transmembrane precursor [
10]. Proteolytic cleavage by metalloprotease TNF-α converting enzyme (ADAM 17) releases the soluble, bioactive form of TNF-α [
11]. Previous studies demonstrated that the activation and maturation of ADAM17 in hematopoietic cells requires inactive rhomboid protein 2 (iRhom2) [
12,
13]. Genetic deletion or silencing of iRhom2 prevents ADAM17 maturation and markedly reduces TNF-α shedding from immune cells, whereas ADAM17 function in non-hematopoietic cells remains largely preserved due to compensation by the related iRhom1 [
14,
15]. We previously demonstrated that iRhom2 deficiency attenuates early atherogenesis in mice [
16]. To further elucidate the processes involved in early atherogenesis, the present study aimed to characterize the impact of iRhom2 deficiency on macrophage phenotype and function.
2. Materials and Methods
2.1. Cell Culture
Bone marrow-derived macrophages (BMDMs) were isolated and generated from bone marrow suspensions of the tibia and femur of 9- to 11-week-old male iRhom2
−/− mice and iRhom2
+/+ littermate controls, as described previously [
17]. iRhom2
−/− mice (kindly provided by Prof. Dr. Philipp Lang, Department of Molecular Medicine II, Universitätsklinikum Düsseldorf, Düsseldorf, Germany) and iRhom2
+/+ littermate mice on a C57BL/6 genetic background were used for experiments. Genetic background control and breeding strategy have been described previously [
16]. All animals were fed a standard diet. Bone marrow cells from 3–4 mice were pooled for each independent BMDM preparation and differentiated into BMDMs within seven days in RPMI-1640 medium (Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% fetal bovine serum (Biochrom AG, Berlin, Germany), 1% penicillin/streptomycin (Thermo Fisher Scientific), and 15% L929 cell-conditioned RPMI medium at 37 °C in 5% CO
2. Fresh medium was added or replaced every 2 to 3 days. All experiments were performed using a single batch of L929-conditioned medium that was prepared under standardized conditions, aliquoted, and stored at −80 °C. Successful macrophage differentiation with L929-conditioned medium was verified by cell morphology and by flow cytometric (CyAn ADP Analyzer; Beckman Coulter, Brea, CA, USA) analysis (Summit V4.3.02 software; Beckman Coulter) of established surface markers. At the end of BMDM differentiation, 95.47 ± 1.72% of iRhom2
+/+ and 94.82 ± 1.42% of iRhom2
−/− BMDMs were positive for F4/80 (mouse F4/80-PE, clone Cl:A3-1; Abcam, Cambridge, UK). Among these F4/80-positive cells, >99% co-expressed CD11b (mouse CD11b-V450, clone M1/70; BD Biosciences, San Jose, CA, USA), with comparable expression levels between the two genotypes.
For classical and alternative activation, BMDMs were incubated with 1 µg/mL lipopolysaccharide (LPS; Sigma-Aldrich, St. Louis, MO, USA) or 20 ng/mL IL-4 (PromoCell, Heidelberg, Germany), respectively, for 6 h at 37 °C. To assess iRhom2 expression in macrophages in response to atherogenic stimuli, iRhom2+/+ BMDMs were stimulated with 50 ng/mL recombinant interferon-γ (IFN-γ; Biomol, Hamburg, Germany), 250 µM hydrogen peroxide (H2O2; Merck, Heidelberg, Germany), or 50 µg/mL oxidized low-density lipoprotein (oxLDL, Alfa Aesar, Waltham, MA, USA) for 6 h at 37 °C. iRhom2 mRNA expression was quantified by real-time RT-PCR.
For preparation of BMDM-conditioned medium (BMDMcM), mature iRhom2−/− and iRhom2+/+ BMDMs (day 7) were stimulated with 100 ng/mL LPS in Endothelial Cell Growth Medium MV (ECGM, PromoCell) for 6 h at 37 °C (LPS-BMDMcM). Supernatants from untreated BMDMs were used as controls and are referred to as naïve BMDMcM.
For monocytes, cryopreserved THP-1 cells (ATCC, TIB-202) were cultured in RPMI supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin. THP-1 cells were maintained at a density of 2–4 × 105 cells/mL, as recommended by the vendor. The medium was refreshed or replaced as needed. THP-1 cells at passages P7 to P10 were used for experiments.
Human aortic endothelial cells (HAoECs; PromoCell, C-12271) were cultured in ECGM MV in T75 flasks. For passaging, cells were washed with Dulbecco’s phosphate-buffered saline (DPBS; Thermo Fisher Scientific) and detached using trypsin at 37 °C. Confluent HAoEC cultures were split in a 1:3 ratio onto new flasks. The medium was changed every other day. HAoECs at passages P5 to P7 were used for experiments.
2.2. Phagocytosis Assay
Differentiated BMDMs were harvested using Accutase (Sigma-Aldrich), seeded into 24-well plates (1 × 105 cells/well), and cultured overnight. Phagocytic activity was determined using a commercial phagocytosis assay kit (Cayman Chemical, Ann Arbor, MI, USA; Cat. No. 500290) according to the manufacturer’s instructions. DAPI-stained nuclei and uptake of FITC-labeled beads were visualized by fluorescence microscopy (BIOREVO BZ 9000, Keyence, Osaka, Japan). For each genotype, five randomly selected fields per well were imaged with a 20× objective. Image analysis was performed with ImageJ software V1.48. Cells positive for both DAPI and FITC were counted as phagocytic cells, and total cell numbers were determined by DAPI-positive nuclei using the ImageJ cell counter tool. Phagocytosis was calculated as the percentage of phagocytic cells relative to the total cell number. Data were derived from n = 4 independent experiments.
2.3. Cell Viability and Cytotoxicity Assay
BMDMs were cultured in 12-well plates (2.4 × 106 cells/well) for 7 days. Cell proliferation was assessed by measuring the number of viable cells at the start (0 h) and after 96 h. The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide; Sigma-Aldrich) assay was used to estimate the number of viable cells. Metabolically active cells convert MTT to dark blue, water-insoluble MTT–formazan. The formation of formazan was used as an indicator of the number of viable cells. Data were derived from n = 5 independent experiments. For cytotoxicity assay, BMDMs were rested in fresh medium for 1 h at 37 °C and then treated for 24 h with 0, 0.125, or 0.25 µM staurosporine (Sigma-Aldrich), or 0, 125, 250, 500, or 1000 µM H2O2 prior to MTT measurement. All measurements were performed in quadruplicate. Data were derived from n = 3–4 independent experiments.
2.4. Quantitative Real-Time RT-PCR
Cells were lysed in TRIzol reagent (Thermo Fisher Scientific) and 500 ng of total RNA was reverse-transcribed with random hexamers (TIB Molbiol, Berlin, Germany) using the Reverse Transcriptase Kit (Thermo Fisher Scientific). TaqMan Gene Expression Assays (Thermo Fisher Scientific) were used for the quantification of gene expression together with TaqMan Gene Expression Master Mix (Cat. No. 4369016). Specific assay IDs were as follows: iRhom2 (Mm00553470_m1), TNF-α (Mm00443260_g1), chemokine C-C motif ligand 2 (CCL2; Mm00441242_m1), IL-1β (Mm00434228_m1), IL-6 (Mm00446190_m1), inducible nitric oxide synthase (NOS2; Mm00440502_m1), arginase-1 (Arg1; Mm00475988_m1), Fizz1 (Retnla; Mm00445109_m1), mannose receptor (Mrc1; Mm00485148_m1), and IL-10 (Mm00439614_m1). RPL19 (Mm02601633_g1) was used as a housekeeping gene. qPCR was performed using the 7300 Real Time PCR System (Applied Biosystems, Waltham, MA, USA). Relative gene expression was calculated using the 2−ΔΔCt method, with Ct values normalized to the housekeeping gene and expressed relative to the control group. Data were derived from n = 3–4 independent experiments. Raw Ct values for RPL19 were stable across all experimental conditions, with no observable variance between treatment and control groups or between genotypes.
2.5. Measurements of Inflammatory Mediators
Levels of TNF-α, IFN-γ, IFN-β, IL-6, IL-1α, IL-1β, IL12p70, IL-17A, IL-23, IL-27, CCL2, IL-10 and granulocyte-macrophage colony-stimulating factor (GM-CSF) were measured in LPS-BMDMcM using a bead-based immunoassay (LEGENDplex™, BioLegend, San Diego, CA, USA; Cat. No. 740446) according to the manufacturer’s instructions. Data were derived from n = 3 independent experiments. IL-10 and TNF-α were additionally measured by ELISA in the supernatant of BMDMs stimulated with LPS (1 µg/mL). IL-10 was measured using the Mouse IL-10 ELISA MAX™ Deluxe Set (BioLegend), and TNF-α was measured using the BD OptEIA™ Mouse TNF ELISA Set II (BD Bioscience) with BD OptEIA™Reagent Set A (BD Bioscience), following the manufacturer’s protocol. Data were derived from n = 3 independent BMDM preparations.
2.6. Cell-Based ELISA for Adhesion Molecule Expression
HAoECs were seeded in 96-well plates (1 × 104 cells/well) and cultured for 3 days until confluence. Medium was replaced one day before stimulation. HAoECs were stimulated with naïve or LPS BMDMcM (1:4 dilution in ECGM) for 4 h at 37 °C. Based on initial assay optimization, a 1:4 dilution of BMDMcM in fresh ECGM was utilized to ensure HAoEC viability and prevent direct activation by residual LPS. Cells incubated with ECGM alone served as controls. Each condition was performed in triplicate. Following stimulation, cells were fixed with 0.2% glutaraldehyde (Sigma-Aldrich) for 10 min at room temperature and washed with wash buffer (0.05% BSA, 0.02% Triton X-100 in DPBS). Cells were incubated with primary antibodies against human ICAM-1 (clone 84H10; Beckman Coulter), VCAM-1 (clone 1G11; Beckman Coulter), or E-selectin (clone 1.2B6; Sigma-Aldrich) diluted 1:500 in antibody buffer for 1 h. After washing, cells were incubated with biotinylated rabbit anti-mouse IgG (1:500; Jackson ImmunoResearch, West Grove, PA, USA) for 45 min, followed by streptavidin–HRP complex (1:500; GE HealthCare, Freiburg, Germany) for 45 min. After washing, OPD substrate solution (Dako, Hamburg, Germany) prepared in citrate buffer containing 0.05% H2O2 was added and incubated for 5–10 min, protected from light. The reaction was stopped with 3 M sulfuric acid (H2SO4), and absorbance was measured at 492 nm (reference 620 nm) using a SpectraMax 340PC384 microplate reader (Molecular Devices, San Jose, CA, USA). All incubation and washing steps were performed at room temperature with gentle shaking. Data are derived from n = 4 independent BMDM-conditioned media preparations.
2.7. Monocyte Adhesion Assay
Monocyte adhesion was assessed by activating HAoECs with naïve and LPS-BMDMcM for 4 h at 37 °C, as described above. Following incubation, conditioned medium was removed and HAoECs were washed twice with prewarmed DPBS before adding Calcein AM (Thermo Fisher Scientific)-labeled THP-1 monocytes for 30 min. Non-adherent cells were removed by washing three times with prewarmed DPBS, and the fluorescence of adherent monocytes was quantified using a fluorescence plate reader GEMINI EM Microplate Reader (Molecular Devices). For TNF-α neutralization, LPS-BMDMcM was preincubated with an anti-mouse TNF-α antibody (clone D2H4; Cell Signaling Technology, Danvers, MA, USA) or an isotype-matched IgG control (clone DA1E; Cell Signaling Technology) for 1 h at 37 °C before addition to HAoECs. Monocyte adhesion was then assessed as described above. Data are derived from n = 4–5 independent BMDM-conditioned media preparations.
2.8. Statistical Analysis
Data were analyzed using GraphPad Prism Software (version 10.2.3). Sample sizes (n = 3–5) represent independent biological replicates. Unless otherwise indicated, summary data are presented as the mean ± standard error of the mean (SEM) with individual data points plotted to display distribution. The normality of data was assessed using the Shapiro–Wilk test. Comparisons between two independent groups were made using an unpaired t-test with Welch’s correction for normally distributed data. Datasets consistent with lognormal distributions were log-transformed prior to statistical testing to satisfy parametric assumptions. For experiments involving multiple independent variables across genotypes, two-way analysis of variance (ANOVA) followed by Tukey’s or Sidak’s multiple-comparisons test was used, as indicated; p < 0.05 was considered statistically significant.
4. Discussion
In the present study, we provide mechanistic insight into how iRhom2 modulates macrophage-driven inflammation. Our data demonstrate that iRhom2 deficiency does not affect fundamental macrophage characteristics, including survival, phagocytosis, proliferation, or M1- and M2-like polarization—processes that are critical for resident intimal macrophage function and recruited monocyte-derived macrophages throughout atherogenesis.
Macrophage apoptosis is the predominant form of cell death in atherosclerotic plaques, particularly in advanced lesions [
3]. The unchanged survival rate of iRhom2-deficient macrophages in response to cytotoxic stress indicates that iRhom2 does not regulate macrophage survival or turnover. Efficient efferocytosis, the phagocytic clearance of apoptotic cells by neighboring macrophages, is essential in early lesions to maintain tissue homeostasis and limit inflammation. In contrast, impaired efferocytosis in advanced plaques promotes the accumulation of apoptotic debris and secondary necrosis, driving plaque progression and instability [
19]. Notably, iRhom2 deficiency did not affect the fundamental machinery for phagocytosis (as evidenced by the uptake of FITC-labeled beads), indicating that efferocytosis-related functions remain intact. Whether iRhom2 specifically modulates the complex signaling pathways involved in efferocytosis within the necrotic core of atherosclerotic plaques needs to be elucidated in future studies.
Local macrophage proliferation contributes to the expansion of the lesional macrophage pool [
4]. Because proliferative capacity was preserved in iRhom2-deficient macrophages, the previously observed atheroprotective phenotype in iRhom2-deficient mice [
16] is unlikely attributable to reduced macrophage accumulation through local proliferation. Taken together, these findings indicate that iRhom2 does not influence macrophage survival, efferocytosis, or proliferation, supporting the conclusion that its atheroprotective effects are mediated primarily through modulation of inflammatory signaling rather than quantitative changes in macrophage populations.
iRhom2 deficiency also did not affect macrophage polarization: mRNA expression of typical M1/M2 markers remained unchanged following LPS or IL-4 stimulation. This suggests that iRhom2 does not regulate transcriptional polarization programs, further supporting the notion that its impact is independent of macrophage differentiation. In addition, these findings are consistent with Barnette et al. [
20], showing that iRhom2 deficiency does comprise macrophage responsiveness to pro-inflammatory or anti-inflammatory stimuli. However, while Barnette et al. reported impaired macrophage differentiation and phagocytosis in iRhom2-deficient bone marrow-derived macrophages, we did not observe such alterations under our experimental conditions. These differences may reflect context-dependent effects of iRhom2 on macrophage function, potentially influenced by genetic background (C57BL/6 vs. 129/SV) and experimental design, including the use of non-littermate wild-type controls in their study [
21].
While macrophage basal functions are preserved in the present study, the altered inflammatory phenotype of iRhom2-deficient macrophages arises from changes in cytokine shedding. Despite an intact macrophage polarization, iRhom2-deficient macrophages displayed a markedly altered secretory pattern, characterized by reduced TNF-α and increased IL-10 release. These observations indicate that iRhom2 deficiency does not impair macrophage activation, per se, but selectively alters the inflammatory secretome, thereby limiting the propagation of inflammation to recipient cells. TNF-α is known to induce IL-10 expression via the activation of its receptors, forming a self-regulating negative feedback loop in which IL-10 subsequently suppresses TNF-α secretion [
22,
23]. Activation of TNF-receptor-2 (TNFR2) appears to preferentially induce IL-10 production [
24,
25]. In iRhom2-deficient macrophages, impaired ADAM17-mediated cleavage increases the surface expression of tmTNF-α [
13]. Because tmTNF-α preferentially signals through TNFR2 rather than TNFR1, enhanced TNFR2 engagement may mechanistically explain the observed increase in IL-10 expression and secretion [
26]. IL-10 exerts well-established atheroprotective effects, including the reduction in atherosclerotic lesion size and the promotion of favorable plaque composition in experimental models; in humans, IL-10 levels have been associated with lower atherosclerotic plaque burden [
27,
28,
29].
Functionally, this altered macrophage secretome exhibited a reduced capacity to induce endothelial activation, as evidenced by decreased expression of ICAM-1, VCAM-1, and E-selectin. Because endothelial expression of these adhesion molecules is critical for leukocyte recruitment [
7], this resulted in decreased monocyte adhesion. Importantly, this effect was TNF-α-dependent, highlighting the central role of iRhom2-regulated TNF-α shedding in macrophage–endothelial crosstalk.
We further observed that iRhom2 expression in macrophages is induced by multiple atherogenic stimuli, including IFN-γ, oxidized LDL, and hydrogen peroxide, all of which are abundant within the atherosclerotic plaque microenvironment [
30,
31]. This inducibility underscores the dynamic regulation of iRhom2 under proatherogenic conditions and its pathophysiological relevance in atherosclerosis.
Targeting inflammation in atherosclerosis has emerged as a therapeutic strategy to reduce cardiovascular risk beyond lipid lowering [
32,
33]. Our findings suggest that iRhom2 may represent a target to selectively modulate immune-driven inflammation from early stages of disease. Importantly, this approach preserves essential macrophage functions—proliferation, phagocytosis, survival, and polarization—while limiting pathological TNF-α-driven responses. Moreover, ADAM17-dependent processes in non-immune cells remain largely intact due to compensatory iRhom1 activity [
14], highlighting the potential for immune cell-specific intervention. By selectively dampening macrophage pro-inflammatory activity without broadly suppressing systemic immunity, iRhom2-targeted therapies may provide a precision strategy to limit atherogenesis while minimizing adverse effects associated with global TNF-α inhibition [
15,
34].
The limitations of our study include the in vitro nature of mechanistic assays, which may not fully capture the complexity of in vivo plaque microenvironments and may restrict the translational relevance of the findings. Furthermore, the relatively limited number of experimental replicates should be considered when interpreting the results. In addition, the use of an early 6 h timepoint for macrophage polarization may not capture the maximal induction of M2 markers with later induction kinetics, such as Arg1 and RetnIa. Future studies are warranted to further define the role of iRhom2 in macrophage–endothelial crosstalk and efferocytosis under complex inflammatory in vivo conditions. Macrophage-specific targeting of iRhom2 should be explored as a potential strategy to modulate vascular inflammation in a more selective manner. Further investigation is also required to determine whether iRhom2-targeted interventions exert comparable anti-inflammatory effects in human macrophages and to perform unbiased profiling of the iRhom2-regulated macrophage secretome, including the contribution of additional ADAM17 substrates.