International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General Medicine.
Atherosclerotic cardiovascular disease (ASCVD) is highly prevalent and accounts for the majority of mortalities worldwide (1). Characterized by a chronic non-resolving low-grade sterile inflammation of the arterial wall, atherosclerosis (AS) is mainly caused by low-density lipoprotein (LDL) (2). The main lesions in AS are characterized by LDL deposition in the intima, the innermost layer of the artery wall. Activated by such stimuli, endothelial cells express a leukocyte adhesion molecule, such as vascular cell adhesion molecule-1, interacting with its cognate ligands to promote the rolling and adherence of monocytes and lymphocytes, accompanied by smooth muscle cells and fibrous matrix proliferation, which gradually develop into the formation of an AS plaque (3). Lipoproteins sequestered in the arterial wall are susceptible to modifications, such as oxidation, which render these particles pro-inflammatory and immunogenic. Recruited monocytes mature into mononuclear phagocytes, take in normal or modified lipoproteins and transform into foam cells, a type of macrophage that promotes disease progression. Above various cell types in AS plaques, macrophages and foam cells are considered to be major contributors to atherogenesis: Not only do they respond inflammatorily through the secretion of pro-inflammatory mediators, matrix-degrading proteases and final death, but also release lipid contents and tissue factors, constituting a pro-thrombotic necrotic core after necrosis or apoptosis (4). Thus, the dynamics of macrophages should play a decisive part in atherogenesis.
In contrast to traditional immunology, researchers recently found the capacity of the innate immune system to build an inflammatory memory named trained immunity. Trained immunity possesses most prosperities from innate immunity and has the ability to give a rapid response in reinfection, which is built on epigenetic and metabolic reprogramming. The inflammatory memory gifts the host both protection and susceptibility to inflammation-driven diseases such as AS. As monocytes and macrophages have a major role in atherogenesis and are widely investigated in the field of trained immunity, the present review will focus on them. After elaborating on trained immunity, phenotypes of macrophages under signals in AS plaques will be discussed. The mechanisms of this immune memory in trained AS macrophages in aspects of metabolism, transcription and epigenetics will then be presented, which may inspire future treatments of the disease.
In the traditional cognation of immunology, in contrast of adaptive immunity, innate immunity is unable to build an immunological memory. However, prompted by evidence of protection against reinfection in plants and invertebrates, transplant rejection in invertebrates and cross-protection between infections in mammals with dysfunctional T and B lymphocytes, Netea et al (5) named the inflammatory memory in innate immune cells ‘trained immunity’, which represented hyper-responsiveness in the innate immune system facing a second stimulus.
Like innate immunity, trained immunity is built on pattern recognition receptors allowing recognition of different kinds of, but not individual, pathogens (6) and induced by stimuli, including pathogen-associated molecular patterns and damage-associated molecular patterns (7). Also, its properties have been described mainly in populations of innate immune cells, including monocytes, macrophages and natural killer (NK) cells. Studies have indicated the existence of trained hematopoietic stem cells and progenitor cells (8), along with an inflammatory memory in epidermal stem cells (9), showing a broader scale of trained immunity both in time and space. The innate immune memory lays its basis on epigenetic reprogramming in the first stimulation (10), which persists after the removal of the stimulus and leads to accessible chromatin and rapid recruitment of RNA polymerase II (11) in the reinfection.
While trained immunity guarantees the host a rapid response and better protection against restimulation, it brings the potential danger of inflammatory disorders and cancer. For instance, it was found that once infected, a pregnant individual with higher levels of interleukin-6 (IL-6) passed on the inflammatory memory to the fetal intestinal epithelium, which persisted to adulthood. As a result, inflammatory-primed intestinal stem cells showed both enhanced protection against Salmonella infection and worsened pathology in a model of colitis (12). Studies have been centered widely around the maladaptation of the innate immune memory and diseases, such as periodontitis (13) and Alzheimer's disease (14). AS, as a chronic inflammatory disease, is no exception.
Trained immunity can be induced by endogenous ligands, such as oxidized (ox)LDL (15), which has a major role in atherogenesis, indicating the contribution of this proinflammatory memory to AS. In fact, not only do traditional risk factors such as dyslipidemia and hypertension predispose individuals to ASCVD via trained immunity, but other factors, including lifestyle factors, inflammatory conditions and acute adverse cardiovascular events, were well classified in a review by Riksen et al (16).
Relevant research has also been conducted at the cellular level. For instance, isolated human monocytes were shown to mature into macrophages responding with enhanced production of tumor necrosis factor-α (TNF-α) and IL-6 after brief stimulation by oxLDL (15). Also, in a clinical trial, isolated monocytes from patients with ASCVD had a higher capacity of cytokine production than those from healthy subjects (17). The property was indicated to be maintained following conversion to macrophages. Furthermore, trained immunity was shown to be induced not only in circulating monocytes and tissue-resident macrophages, but also in hematopoietic stem and progenitor cells, termed central trained immunity, which guaranteed a long-term inflammatory memory (18). Other immune and non-immune cells related to AS, such as NK cells (19), neutrophils (20), dendritic cells (21) and endothelial cells (22), have also shown this potential, but as monocytes and monocyte-derived macrophages make a predominant contribution in all phases of AS (4), the present review will mainly focus on them.
Aside from functional reprogramming of trained immunity, another form of immune cell adaption is differentiation (23). Monocytes infiltrating the sub-endothelium are exposed to multiple microenvironmental signals, such as pro- and anti-inflammatory cytokines, irons, calcium, lipids and their derivatives and heme from senescent erythrocytes. Initially, they differentiate into M0 macrophages, also known as resident-like macrophages, which can then become polarized into several categories of macrophages (24). Previously, these cells were classified by their activation states, such as classical, alternative and innate activation and deactivation (25); while, nowadays, they are mostly recognized by their secreta and the expression of various surface markers.
Above all of the subtypes, M1 and M2 were first described. M1 macrophages are classically activated by products of type-1 T-helper lymphocytes, such as interferon-γ. In AS plaques, observations suggested that cholesterol crystals (26), oxLDL (27,28) and pro-inflammatory cytokines drive, alone or in combination, M1 activation. Trained M1 macrophages secrete pro-inflammatory cytokines, such as IL-6, IL-1β, TNF, IL-23 and IL-12 (29), sustain inflammatory response and cause tissue damage. At the opposite end, M2 macrophages, mainly referred to as anti-inflammatory macrophages, are classically activated by IL-4 and IL-13 cytokines produced by type 2 T-helper cells (30,31). Activated by different signals, M2 macrophages have been classified into M2a, M2b and M2c, functioning separately. While M2a macrophages are classically regarded as ‘wound healing macrophages’, M2b and M2c macrophages are considered to be ‘regulatory macrophages’ (32). Studies on mice or humans have found other types of macrophages: Mox, M4, M(Hb) and Mhem macrophages. Mox macrophages found in mice are induced by oxLDL and act in a proatherogenic way. M4 macrophages are induced by platelets, while M(Hb) and Mhem macrophages are induced by the uptake of free hemoglobin (33). Of note, those polarized macrophages are able to depolarize and switch their phenotypes in different microenvironments (34) (Table I).
In the context of AS, M1 and M2 macrophages were shown to constitute 40 and 20% of total AS lesion macrophages, respectively, in mice (35). Furthermore, they possess distinct properties and separate tissue localizations: While M1 macrophages localize near the lipid core (36) and impair wound healing (37), M2 macrophages are more enriched in neo-angiogenic areas within the plaque (36) and more related to AS regression (38). Since M1 and M2 macrophages play a significant role in AS and have been widely studied, this review will mainly focus on them.
Cellular metabolism not only follows and meets energy demands, but also creates intermediate metabolites serving important biological roles and responds to environmental cues by regulating the functional state of cells (39,40). The metabolism of macrophages in AS is no exception. Within AS plaques, through external stimuli and corresponding signaling pathways, intracellular metabolism reprograms and induces epigenetic reprogramming, which mediates trained immunity and macrophage phenotypes (16). Furthermore, metabolic reprogramming occurs not only in macrophages located in AS plaques, but also in circulating monocytes and their bone marrow progenitors exposed to pro-atherogenic stimuli such as lipoproteins (41), creating a long-lasting inflammatory memory.
Via pathway analysis, genome-wide transcriptome and histone modification profiling, Cheng et al (42) found that β-glucan-trained murine monocytes showed elevated aerobic glycolysis with a reduced basal respiration rate, as well as increased glucose consumption and lactate production; further investigation suggested the dectin-1/Akt/mTOR-hypoxia-inducible factor (HIF)-1α pathway responsible for the metabolic shift. The results indicated aerobic glycolysis (Warburg effect) as a metabolic basis of trained immunity. Further metabolic pathways, such as fatty acid oxidation (FAO) and fatty acid synthesis (FAS), also have important roles in metabolic reprogramming, as will be discussed below (Fig. 1).
Monocytes or macrophages encountering inflammation-induced stimuli such as oxLDL increase the expression of HIF-1α through signaling pathways, including the nuclear factor κ light-chain-enhancer of activated B cells (NF-κB) pathway. In addition, hypoxia in regions rich in plaques is also an important activator of the HIF-1α transcription factor (TF). HIF-1α increases the expression of the glucose transporter 1 to enhance the uptake of glucose. Furthermore, the TF initiates glycolytic metabolism, as well as increases the expression of key glycolytic enzymes, such as hexokinase II (HK-II) and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3), resulting in increased glycolytic flux (43). Research has shown that monocytes from patients with symptomatic AS expressed higher levels of glycolysis-related genes, including HK-II, PFKFB3 and pyruvate kinase M (PKM)1 (44).
Though less efficient, the enhancement of glucose uptake and glycolysis accelerate ATP production and become the major pathway for energy production (45). In addition, certain relevant enzymes contribute to the inflammatory states. For instance, PKM2, shown to be upregulated in pro-inflammatory macrophages, phosphorylates the TF STAT3, which consequently enhances the production of pro-inflammatory cytokines IL-6 and IL-1β (17). Apart from fueling the inflammation in atherogenesis, glycolysis also accelerates the pentose phosphate pathway (PPP) to synthesize amino acids needed for the increased protein, RNA and DNA synthesis burden of trained macrophages. An observation of only trained macrophages with an activated PPP (42) suggests that PPP is vital to the increased cellular dynamics of trained macrophages and takes part in the inflammatory process of atherogenesis (46). In addition, activated PPP produces NADPH. NADPH can further act as the electron donor in the production of oxygen radicals, which contribute to the oxidative stress within the AS plaque.
The pro-inflammatory macrophages with aerobic glycolysis also maintain a tricarboxylic acid cycle, despite two blockades after citrate and succinate leading to the accumulation of the two metabolites (17,47). Citrate is crucial for cholesterol and phospholipid synthesis, leading to the formation of new membranes. As for succinate, together with α-ketoglutarate, it is critical for the activity of two families of enzymes controlling epigenetic modifications: The JMJ family of lysine demethylases and the TET family of methyl-cytosine hydroxylases (48,49), mediating the epigenetic reprogramming in innate immune memory. Succinate is also able to activate HIF-1α and induces IL-1β production (46), contributing to the inflammatory states of pro-inflammatory M1 macrophages.
A major risk factor for the development of AS is the high levels of oxLDL within AS plaques, which is taken up by macrophages, resulting in cholesterol-loaded macrophage foam cells. Foam cells secrete pro-inflammatory cytokines and chemokines, as well as produce matrix metalloproteinases to degrade the extracellular matrix of the plaque, leading to rupture (50,51). Furthermore, oxLDLs are highly pro-inflammatory and can induce a trained immune macrophage phenotype, making the control of cholesterol influx vs. efflux vital for atherogenesis.
This regulation extensively relies on nuclear receptors liver X receptors (LXRs) including LXR-α and -β. Activated by oxysterols, LXRs promote reverse cholesterol transport and have potent anti-inflammatory effects (52). Studies have indicated that LXRs are able to suppress the expression of inflammatory genes in macrophages, such as lipopolysaccharide (LPS)-stimulated cultured macrophages (52–55) and foam cells (56,57). It has also been reported that LXR agonists are able to reduce AS plaque formation (50). A recent study also showed that myeloid LXR deficiency led to a marked increase in AS with increased monocyte entry, foam-cell formation and plaque inflammation (58), marking the importance of LXRs in atherogenesis.
LXRs are also vital to the expression of sterol-regulatory element binding protein (SREBP)-1c, which is upregulated in the pro-inflammatory M1 macrophages and turns on the FAS (59). SREBP-1c belongs to the SREBP family of TFs, which also include SREBP-1a and SREBP-2 and contribute to the regulation of cholesterol and fatty acid biosynthetic gene expression (60). The family is located within the endoplasmic reticulum, where they are retained by cholesterols, oxysterols and desmosterols. When the intracellular concentration of these metabolites declines, the SREBPs are released, migrate into the nucleus and drive the expression of LDL receptors and genes involved in the synthesis pathway of both cholesterol and fatty acid (61). Studies have shown that cholesterol synthesis is upregulated in macrophages trained with β-glucan or Bacillus Calmette-Guérin, and β-glucan-induced trained immunity both in vivo and in vitro can be abrogated by statins inhibiting cholesterol synthesis (62); however, the role of cholesterol synthesis in oxLDL-induced trained macrophages remains to be elucidated.
While glycolysis predominantly energizes the pro-inflammatory M1 macrophages, FAO is the major source of energy production in M2 anti-inflammatory macrophages (63,64). Thanks to the overexpression of carnitine palmitoyl transferase 1 transporting long-chain fatty acids into the mitochondria, rates of FAO are predictably increased, accompanied with decreased production of inflammatory cytokines in these cells (65).
By contrast, FAS is generally associated with a pro-inflammatory macrophage phenotype (66). In this pathway, genes involved in the multi-complex enzyme, such as fatty acid synthase (FASN), are upregulated (59), and observation has shown that macrophage-targeted deletion of FASN reduced AS plaque formation and foam cell formation in Apolipoprotein E−/− mice (67). Hypoxia, together with NF-κB, activates the expression of HIF1-α, which stimulates stearoyl-coenzyme A desaturase (SCD), an important enzyme in FAS. That way, hypoxia enhances FAS, while suppressing FAO (68). SCD also drives the synthesis of monounsaturated fatty acids from palmitic acid. Increased intracellular levels of unsaturated fatty acids stimulate a pro-inflammatory phenotype by upregulating IL-1α production in foam cells (69).
Another classic example of metabolic reprogramming is amino acid metabolism, particularly that of arginine. While M2 macrophages catabolize arginine via arginase and finally break it down into molecules that support cell growth and division, as well as a building block for collagen production, the trained pro-inflammatory M1 macrophages synthesize nitric oxide (NO) from arginine via inducible-NO synthase (iNOS) (70). NO acts not only as a signal of important cues including vasodilation, insulin secretion and angiogenesis, but also as an important microbicidal agent, which is vital for the early stages of AS (71). Enhanced expression of the iNOS has been used to characterize activated M1 macrophages, and the expression of iNOS is demonstrated to be elevated compared to normal arterial tissue by in situ hybridization experiments (72,73).
Experiments also found that glutamine had pro-AS effects on a murine macrophage-like cell line (74). Other research has shown the importance of glutamine in the induction of IL-1 by macrophages in response to LPS stimulation (75), highlighting the nonnegligible role of glutamine metabolism in trained immunity.
In the pathogenesis of AS, the cellular phenotype and function of macrophages, including differentiation and activation, are of great importance. The robust execution of this cascade of biological reactions is guaranteed by multilayered regulation, such as TF and co-factor binding, the epigenetic landscape, long-range interactions, DNA methylation, RNA editing and long non-coding (lnc)RNAs (76). Specifically, in trained macrophages in AS, studies have found that epigenetic processes, including histone modification, DNA methylation, modulation of microRNA and lncRNA expression (8), are at the basis of the innate immune memory (10,77) (Fig. 2).
Histone-modifying enzymes (HMEs) with histone-binding domains have the ability to recognize histone tails extended out of the octamers and catalyze the addition or removal of different histone modifications. Several modifications, such as methylation, acetylation, phosphorylation and ubiquitination, together with their role in supporting transcriptional processes, have been well-studied. Amid a vast repertoire of histone modifications, acetylation (lysine residues) and methylation (arginine and lysine residues) are the most broadly studied and extensively characterized (78).
In the context of a trained immune response, epigenetic reprogramming takes place in different types of immune cells at a large number of immune genes and their distal genetic elements called enhancers. Upon primary stimulation, histone 3 lysine 4 trimethylation (H3K4me3) accumulates on immune gene promoters, with histone 3 lysine 4 methylation (H3K4me1) on enhancers and histone 3 lysine 27 acetylation (H3K27ac) marking active promoters and enhancers (79,80). H3K27ac marks are gradually lost after removal of the initial stimulus, while H3K4me1 and H3K4me3 modifications remain (49), suggesting that H3K27ac appears to function more as a mark of changes in promoter activity than H3K4me3, and H3K4me1 provides an epigenetic memory function in macrophages (81).
CpG islands at promoters and enhancers can be recognized by DNA methyltransferases (DNMTs) and are generally related to transcriptional repression. DNA methylation has been shown to be more associated with monocyte-to-macrophage differentiation than subsequent activation (82,83). Epigenome-wide analyses have demonstrated a general loss of 5mc during ex vivo monocyte-to-macrophage differentiation (84). The role of DNA methylation in trained immunity is still in need of further investigation, and different combinations of histone and DNA modifications should determine the accessibility of DNA undoubtedly.
TFs usually bind to specific DNA motifs, in requirement of chromatin accessibility, which is modulated by epigenetic modification. The macrophage epigenetic and chromatin accessibility landscape is established by the divergent binding of lineage-determining TFs (LDTFs) and signal-dependent TFs (SDTFs). LDTFs act as master regulators of the cell-specific epigenetic landscape by binding to closed chromatin, setting up a cell-specific regulatory landscape and driving cell-specific transcription programs (85). SDTFs can activate a stimulus-specific regulatory program (86,87) and can also activate epigenetically unmarked elements termed latent enhancers, which can remain marked after stimulus removal and ready for rapid response to a second activation, acting as cellular memory (81). In the context of AS, LDTFs such as PU-1 and CCAAT/enhancer binding protein β (C/EBPβ) instruct macrophage differentiation, while SDTFs such as NF-κB trigger macrophage activation regulated by cytokine stimulation (86).
NF-κB, for instance, is in the cytoplasm under basal conditions. Upon stimulation with substances such as oxLDL or cholesterol crystals, it translocates to the nucleus (88) and binds pre-accessible chromatin. Prior to this, classic enhancers are set up by LDTFs PU-1 and C/EBPβ (89) via deposition of H3K4me1 by HMEs. Upon binding, NF-κB recruits the histone acetyltransferase EP300, leading to histone acetylation such as H3K27ac and formation of active chromatin (90). Subsequently, the translation of genes such as HIF-1α is permitted and then causes changes in cellular metabolic and consequent biologic behavior. After removal of the stimulus, the SDTF leaves, and activating histone marks are removed under recruitment of histone deacetylases (HDACs), whereas H3K4me1 remains and keeps the enhancers in a primed state for subsequent activation.
Besides the above epigenetic and chromatin accessibility landscape, long-range interactions and ncRNAs are also found to be critical modulators of macrophage activation. For instance, an immune gene-priming lncRNA called upstream master lncRNA of the inflammatory chemokine locus is able to direct histone methyltransferase to immune-related genes topologically, leading to increased local H3K4me3, which is a ubiquitous epigenetic modification in trained immunity (91). The deposition of this mark and its persistence through the inhibition of histone demethylases provide specificity for trained immunity (16). Recent findings of epigenetic mechanisms and metabolic processes from the molecular basis of trained immunity were summarized in a previous review (92).
In an AS plaque environment, macrophages are exposed to a variety of signals and differentiate into complex phenotypes (93). Studies have shown that the identified pro-inflammatory and anti-inflammatory macrophage subsets in the plaque do not resemble the classical M1 and M2 macrophages and express both pro- and anti-inflammatory macrophage markers at the same time (94). Indeed, an epigenetic and transcriptional crosstalk between pro- and anti-inflammatory signaling in macrophages is suggested in several studies, highlighting the complexity of inflammatory signaling in an AS plaque in vivo (95,96).
AS is an inflammation-driven disease and macrophages have a central role in the modulation of inflammation. Due to the need to respond in a rapid and specific way, macrophages adopt a unique, permissive epigenetic landscape that is established and controlled by sequential binding of LDTFs and SDTFs, which shed light on therapy targeting epigenetic enzymes. Indeed, macrophage-specific genetic ablation or pharmacological inhibition of HMEs holds promise for the treatment of inflammatory diseases (97). For instance, HDAC3 is able to deactivate key factors needed for IL-4-dependent anti-inflammatory activation (98). Macrophage-specific knockout of HDAC3 in mice promotes plaque stability and steers the cells into a more wound-healing, fibrotic and anti-inflammatory phenotype (99). Thus, the deletion of HDAC3 may attenuate AS. However, owing to the broad action of epigenetic enzymes, strategies to increase specificity would be beneficial and possibly even required. There is a great demand to characterize the epigenetic landscape and pinpoint TFs, as well as upstream signaling pathways regulating cell type-specific gene expression programs.
Furthermore, due to the reprogramming of metabolism in trained macrophages in AS, new drugs interfering with key metabolic pathways such as glycolysis, which is involved in the activation and differentiation of monocytes, should be taken into consideration. Indeed, the observation that trained immunity is completely prevented by pharmacological blockers of glycolysis (42) not only validates the causal role of glycolysis in trained immunity but also enlightens future treatments of AS. Also, several animal studies have reported that LXR agonists can reduce AS plaque formation (50), making cholesterol metabolism a key pathway in AS treatment. For future employment, a targeted therapy would be required likewise. Also, it may be worthwhile investigating to what extent the metabolic pathways determine the destiny of macrophages.
AS, a major threat to global public health, has its basis in chronic inflammation of the artery wall. Above all cells involved in atherogenesis, monocytes and macrophages have a major role in the pathogenesis, highlighting the importance of their biological activities. Trained immunity, the memory of innate immunity, has aroused the interest of investigators and may be a novel mechanism of atherogenesis. In the microenvironment of AS plaque, monocytes are activated and differentiate into various phenotypes of macrophages in response to a cascade of signals, mainly pro-inflammatory M1 and anti-inflammatory M2 cells. During this process, metabolic changes take place, such as enhanced glycolysis in trained pro-inflammatory macrophages. Epigenetic and transcriptional regulation acts as initiators in these metabolic changes.
Recent discoveries of trained immunity not only refresh the concept of immunology, but also inspire researchers to reconsider inflammatory processes in AS. In that way, researchers find heterogeneity of macrophages in AS plaque and further elucidate mechanisms that drive the differentiation. To meet the need for more experiments and findings, research on potential therapies for AS based on metabolism and gene expression is underway.
Not applicable.
This work is supported by grants from the National Natural Science Foundation of China (grant nos. 82273011 and 82072648), the Natural Science Foundation of Jiangsu Province (grant no. BK20211508) and the Fundamental Research Funds for the Central Universities (grant no. 021414380472).
Not applicable.
TL and WF collected the references and were involved in the initial conception of this review. TL wrote most parts of the manuscript. TW and WY provided writing guidance and revisions. All authors have read and approved the final version of the manuscript. Data authentication is not applicable.
Not applicable.
Not applicable.
The authors declare that they have no competing interests.
|
Libby P: The changing landscape of atherosclerosis. Nature. 592:524–533. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Boren J, Chapman MJ, Krauss RM, Packard CJ, Bentzon JF, Binder CJ, Daemen MJ, Demer LL, Hegele RA, Nicholls SJ, et al: Low-density lipoproteins cause atherosclerotic cardiovascular disease: Pathophysiological, genetic, and therapeutic insights: A consensus statement from the european atherosclerosis society consensus panel. Eur Heart J. 41:2313–2330. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Zhu Y, Xian X, Wang Z, Bi Y, Chen Q, Han X, Tang D and Chen R: Research progress on the relationship between atherosclerosis and inflammation. Biomolecules. 8:802018. View Article : Google Scholar : PubMed/NCBI | |
|
Moore KJ, Sheedy FJ and Fisher EA: Macrophages in atherosclerosis: A dynamic balance. Nat Rev Immunol. 13:709–721. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Netea MG, Quintin J and van der Meer JW: Trained immunity: A memory for innate host defense. Cell Host Microbe. 9:355–361. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Netea MG: Training innate immunity: The changing concept of immunological memory in innate host defence. Eur J Clin Invest. 43:881–884. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Dominguez-Andres J, Santos JC, Bekkering S, Mulder WJM, van der Meer JWM, Riksen NP, Joosten LAB and Netea MG: Trained immunity: Adaptation within innate immune mechanisms. Physiol Rev. 103:313–346. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Netea MG, Joosten LA, Latz E, Mills KH, Natoli G, Stunnenberg HG, O'Neill LA and Xavier RJ: Trained immunity: A program of innate immune memory in health and disease. Science. 352:aaf10982016. View Article : Google Scholar : PubMed/NCBI | |
|
Naik S, Larsen SB, Gomez NC, Alaverdyan K, Sendoel A, Yuan S, Polak L, Kulukian A, Chai S and Fuchs E: Inflammatory memory sensitizes skin epithelial stem cells to tissue damage. Nature. 550:475–480. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
van den Burg HA and Takken FL: Does chromatin remodeling mark systemic acquired resistance? Trends Plant Sci. 14:286–294. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Foster SL, Hargreaves DC and Medzhitov R: Gene-specific control of inflammation by TLR-induced chromatin modifications. Nature. 447:972–978. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Lim AI, McFadden T, Link VM, Han SJ, Karlsson RM, Stacy A, Farley TK, Lima-Junior DS, Harrison OJ, Desai JV, et al: Prenatal maternal infection promotes tissue-specific immunity and inflammation in offspring. Science. 373:eabf30022021. View Article : Google Scholar : PubMed/NCBI | |
|
Li Y, Chen Y, Cai G, Ni Q, Geng Y, Wang T, Bao C, Ruan X, Wang H and Sun W: Roles of trained immunity in the pathogenesis of periodontitis. J Periodontal Res. 58:864–873. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Wendeln AC, Degenhardt K, Kaurani L, Gertig M, Ulas T, Jain G, Wagner J, Häsler LM, Wild K, Skodras A, et al: Innate immune memory in the brain shapes neurological disease hallmarks. Nature. 556:332–338. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Bekkering S, Quintin J, Joosten LA, van der Meer JW, Netea MG and Riksen NP: Oxidized low-density lipoprotein induces long-term proinflammatory cytokine production and foam cell formation via epigenetic reprogramming of monocytes. Arterioscler Thromb Vasc Biol. 34:1731–1718. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Riksen NP, Bekkering S, Mulder WJM and Netea MG: Trained immunity in atherosclerotic cardiovascular disease. Nat Rev Cardiol. 20:799–811. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Shirai T, Nazarewicz RR, Wallis BB, Yanes RE, Watanabe R, Hilhorst M, Tian L, Harrison DG, Giacomini JC, Assimes TL, et al: The glycolytic enzyme PKM2 bridges metabolic and inflammatory dysfunction in coronary artery disease. J Exp Med. 213:337–354. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Mitroulis I, Hajishengallis G and Chavakis T: Bone marrow inflammatory memory in cardiometabolic disease and inflammatory comorbidities. Cardiovasc Res. 119:2801–2812. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Kleinnijenhuis J, Quintin J, Preijers F, Joosten LA, Jacobs C, Xavier RJ, van der Meer JW, van Crevel R and Netea MG: BCG-induced trained immunity in NK cells: Role for non-specific protection to infection. Clin Immunol. 155:213–219. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Moorlag SJCFM, Rodriguez-Rosales YA, Gillard J, Fanucchi S, Theunissen K, Novakovic B, de Bont CM, Negishi Y, Fok ET, Kalafati L, et al: BCG vaccination induces long-term functional reprogramming of human neutrophils. Cell Rep. 33:1083872020. View Article : Google Scholar : PubMed/NCBI | |
|
Hole CR, Wager CML, Castro-Lopez N, Campuzano A, Cai H, Wozniak KL, Wang Y and Wormley FL Jr: Induction of memory-like dendritic cell responses in vivo. Nat Commun. 10:29552019. View Article : Google Scholar : PubMed/NCBI | |
|
Sohrabi Y, Lagache SMM, Voges VC, Semo D, Sonntag G, Hanemann I, Kahles F, Waltenberger J and Findeisen HM: OxLDL-mediated immunologic memory in endothelial cells. J Mol Cell Cardiol. 146:121–132. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Netea MG, Domínguez-Andrés J, Barreiro LB, Chavakis T, Divangahi M, Fuchs E, Joosten LAB, van der Meer JWM, Mhlanga MM, Mulder WJM, et al: Defining trained immunity and its role in health and disease. Nat Rev Immunol. 20:375–388. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Bonetti J, Corti A, Lerouge L, Pompella A and Gaucher C: Phenotypic modulation of macrophages and vascular smooth muscle cells in atherosclerosis-nitro-redox interconnections. Antioxidants (Basel). 10:5162021. View Article : Google Scholar : PubMed/NCBI | |
|
Gordon S and Taylor PR: Monocyte and macrophage heterogeneity. Nat Rev Immunol. 5:953–964. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Duewell P, Kono H, Rayner KJ, Sirois CM, Vladimer G, Bauernfeind FG, Abela GS, Franchi L, Nuñez G, Schnurr M, et al: NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals. Nature. 464:1357–1361. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Chavez-Sanchez L, Garza-Reyes MG, Espinosa-Luna JE, Chávez-Rueda K, Legorreta-Haquet MV and Blanco-Favela F: The role of TLR2, TLR4 and CD36 in macrophage activation and foam cell formation in response to oxLDL in humans. Hum Immunol. 75:322–329. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Hirose K, Iwabuchi K, Shimada K, Kiyanagi T, Iwahara C, Nakayama H and Daida H: Different responses to oxidized low-density lipoproteins in human polarized macrophages. Lipids Health Dis. 10:12011. View Article : Google Scholar : PubMed/NCBI | |
|
Verreck FA, de Boer T, Langenberg DM, Hoeve MA, Kramer M, Vaisberg E, Kastelein R, Kolk A, de Waal-Malefyt R and Ottenhoff TH: Human IL-23-producing type 1 macrophages promote but IL-10-producing type 2 macrophages subvert immunity to (myco)bacteria. Proc Natl Acad Sci USA. 101:4560–4565. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Stein M, Keshav S, Harris N and Gordon S: Interleukin 4 potently enhances murine macrophage mannose receptor activity: A marker of alternative immunologic macrophage activation. J Exp Med. 176:287–292. 1992. View Article : Google Scholar : PubMed/NCBI | |
|
Gordon S: Alternative activation of macrophages. Nat Rev Immunol. 3:23–35. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Mosser DM and Edwards JP: Exploring the full spectrum of macrophage activation. Nat Rev Immunol. 8:958–969. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Jinnouchi H, Guo L, Sakamoto A, Torii S, Sato Y, Cornelissen A, Kuntz S, Paek KH, Fernandez R, Fuller D, et al: Diversity of macrophage phenotypes and responses in atherosclerosis. Cell Mol Life Sci. 77:1919–1932. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Chinetti-Gbaguidi G, Colin S and Staels B: Macrophage subsets in atherosclerosis. Nat Rev Cardiol. 12:10–17. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Kadl A, Meher AK, Sharma PR, Lee MY, Doran AC, Johnstone SR, Elliott MR, Gruber F, Han J, Chen W, et al: Identification of a novel macrophage phenotype that develops in response to atherogenic phospholipids via Nrf2. Circ Res. 107:737–746. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Stoger JL, Gijbels MJ, van der Velden S, Manca M, van der Loos CM, Biessen EA, Daemen MJ, Lutgens E and de Winther MP: Distribution of macrophage polarization markers in human atherosclerosis. Atherosclerosis. 225:461–468. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Stewart CR, Stuart LM, Wilkinson K, van Gils JM, Deng J, Halle A, Rayner KJ, Boyer L, Zhong R, Frazier WA, et al: CD36 ligands promote sterile inflammation through assembly of a Toll-like receptor 4 and 6 heterodimer. Nat Immunol. 11:155–161. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Feig JE, Vengrenyuk Y, Reiser V, Wu C, Statnikov A, Aliferis CF, Garabedian MJ, Fisher EA and Puig O: Regression of atherosclerosis is characterized by broad changes in the plaque macrophage transcriptome. PLoS One. 7:e397902012. View Article : Google Scholar : PubMed/NCBI | |
|
O'Neill LA, Kishton RJ and Rathmell J: A guide to immunometabolism for immunologists. Nat Rev Immunol. 16:553–565. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Stienstra R, Netea-Maier RT, Riksen NP, Joosten LAB and Netea MG: Specific and complex reprogramming of cellular metabolism in myeloid cells during innate immune responses. Cell Metab. 26:142–156. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Groh L, Keating ST, Joosten LAB, Netea MG and Riksen NP: Monocyte and macrophage immunometabolism in atherosclerosis. Semin Immunopathol. 40:203–214. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Cheng SC, Quintin J, Cramer RA, Shepardson KM, Saeed S, Kumar V, Giamarellos-Bourboulis EJ, Martens JH, Rao NA, Aghajanirefah A, et al: mTOR- and HIF-1α-mediated aerobic glycolysis as metabolic basis for trained immunity. Science. 345:12506842014. View Article : Google Scholar : PubMed/NCBI | |
|
Tawakol A, Singh P, Mojena M, Pimentel-Santillana M, Emami H, MacNabb M, Rudd JH, Narula J, Enriquez JA, Través PG, et al: HIF-1α and PFKFB3 mediate a tight relationship between proinflammatory activation and anerobic metabolism in atherosclerotic macrophages. Arterioscler Thromb Vasc Biol. 35:1463–1471. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J, de Graaf J, Joosten LA, Netea MG, Gomes ME and Riksen NP: Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis. 254:228–236. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Riksen NP and Netea MG: Immunometabolic control of trained immunity. Mol Aspects Med. 77:1008972021. View Article : Google Scholar : PubMed/NCBI | |
|
Tannahill GM, Curtis AM, Adamik J, Palsson-McDermott EM, McGettrick AF, Goel G, Frezza C, Bernard NJ, Kelly B, Foley NH, et al: Succinate is an inflammatory signal that induces IL-1β through HIF-1α. Nature. 496:238–242. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Jha AK, Huang SC, Sergushichev A, Lampropoulou V, Ivanova Y, Loginicheva E, Chmielewski K, Stewart KM, Ashall J, Everts B, et al: Network integration of parallel metabolic and transcriptional data reveals metabolic modules that regulate macrophage polarization. Immunity. 42:419–430. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Benit P, Letouzé E, Rak M, Aubry L, Burnichon N, Favier J, Gimenez-Roqueplo AP and Rustin P: Unsuspected task for an old team: Succinate, fumarate and other Krebs cycle acids in metabolic remodeling. Biochim Biophys Acta. 1837:1330–1337. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Saeed S, Quintin J, Kerstens HH, Rao NA, Aghajanirefah A, Matarese F, Cheng SC, Ratter J, Berentsen K, van der Ent MA, et al: Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity. Science. 345:12510862014. View Article : Google Scholar : PubMed/NCBI | |
|
Tall AR and Yvan-Charvet L: Cholesterol, inflammation and innate immunity. Nat Rev Immunol. 15:104–116. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Khokha R, Murthy A and Weiss A: Metalloproteinases and their natural inhibitors in inflammation and immunity. Nat Rev Immunol. 13:649–665. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Ito A, Hong C, Rong X, Zhu X, Tarling EJ, Hedde PN, Gratton E, Parks J and Tontonoz P: LXRs link metabolism to inflammation through Abca1-dependent regulation of membrane composition and TLR signaling. Elife. 4:e080092015. View Article : Google Scholar : PubMed/NCBI | |
|
Thomas DG, Doran AC, Fotakis P, Westerterp M, Antonson P, Jiang H, Jiang XC, Gustafsson JÅ, Tabas I and Tall AR: LXR suppresses inflammatory gene expression and neutrophil migration through cis-repression and cholesterol efflux. Cell Rep. 25:3774–3785. e42018. View Article : Google Scholar : PubMed/NCBI | |
|
Ghisletti S, Huang W, Ogawa S, Pascual G, Lin ME, Willson TM, Rosenfeld MG and Glass CK: Parallel SUMOylation-dependent pathways mediate gene- and signal-specific transrepression by LXRs and PPARgamma. Mol Cell. 25:57–70. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Bories G, Colin S, Vanhoutte J, Derudas B, Copin C, Fanchon M, Daoudi M, Belloy L, Haulon S, Zawadzki C, et al: Liver X receptor activation stimulates iron export in human alternative macrophages. Circ Res. 113:1196–1205. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Spann NJ, Garmire LX, McDonald JG, Myers DS, Milne SB, Shibata N, Reichart D, Fox JN, Shaked I, Heudobler D, et al: Regulated accumulation of desmosterol integrates macrophage lipid metabolism and inflammatory responses. Cell. 151:138–152. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang X, McDonald JG, Aryal B, Canfrán-Duque A, Goldberg EL, Araldi E, Ding W, Fan Y, Thompson BM, Singh AK, et al: Desmosterol suppresses macrophage inflammasome activation and protects against vascular inflammation and atherosclerosis. Proc Natl Acad Sci USA. 118:e21076821182021. View Article : Google Scholar : PubMed/NCBI | |
|
Endo-Umeda K, Kim E, Thomas DG, Liu W, Dou H, Yalcinkaya M, Abramowicz S, Xiao T, Antonson P, Gustafsson JÅ, et al: Myeloid LXR (Liver X Receptor) deficiency induces inflammatory gene expression in foamy macrophages and accelerates atherosclerosis. Arterioscler Thromb Vasc Biol. 42:719–731. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Ecker J, Liebisch G, Englmaier M, Grandl M, Robenek H and Schmitz G: Induction of fatty acid synthesis is a key requirement for phagocytic differentiation of human monocytes. Proc Natl Acad Sci USA. 107:7817–7822. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Rong S, Cortés VA, Rashid S, Anderson NN, McDonald JG, Liang G, Moon YA, Hammer RE and Horton JD: Expression of SREBP-1c requires SREBP-2-mediated generation of a sterol ligand for LXR in livers of mice. Elife. 6:e250152017. View Article : Google Scholar : PubMed/NCBI | |
|
Im SS, Yousef L, Blaschitz C, Liu JZ, Edwards RA, Young SG, Raffatellu M and Osborne TF: Linking lipid metabolism to the innate immune response in macrophages through sterol regulatory element binding protein-1a. Cell Metab. 13:540–549. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Arts RJ, Novakovic B, Horst RT, Carvalho A, Bekkering S, Lachmandas E, Rodrigues F, Silvestre R, Cheng SC, Wang SY, et al: Glutaminolysis and fumarate accumulation integrate immunometabolic and epigenetic programs in trained immunity. Cell Metab. 24:807–819. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Huang SC, Everts B, Ivanova Y, O'Sullivan D, Nascimento M, Smith AM, Beatty W, Love-Gregory L, Lam WY, O'Neill CM, et al: Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages. Nat Immunol. 15:846–855. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Van den Bossche J, O'Neill LA and Menon D: Macrophage immunometabolism: Where are we (Going)? Trends Immunol. 38:395–406. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Malandrino MI, Fucho R, Weber M, Calderon-Dominguez M, Mir JF, Valcarcel L, Escoté X, Gómez-Serrano M, Peral B, Salvadó L, et al: Enhanced fatty acid oxidation in adipocytes and macrophages reduces lipid-induced triglyceride accumulation and inflammation. Am J Physiol Endocrinol Metab. 308:E756–E769. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Feingold KR, Shigenaga JK, Kazemi MR, McDonald CM, Patzek SM, Cross AS, Moser A and Grunfeld C: Mechanisms of triglyceride accumulation in activated macrophages. J Leukoc Biol. 92:829–839. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Schneider JG, Yang Z, Chakravarthy MV, Lodhi IJ, Wei X, Turk J and Semenkovich CF: Macrophage fatty-acid synthase deficiency decreases diet-induced atherosclerosis. J Biol Chem. 285:23398–23409. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Bostrom P, Magnusson B, Svensson PA, Wiklund O, Borén J, Carlsson LM, Ståhlman M, Olofsson SO and Hultén LM: Hypoxia converts human macrophages into triglyceride-loaded foam cells. Arterioscler Thromb Vasc Biol. 26:1871–1876. 2006. View Article : Google Scholar : PubMed/NCBI | |
|
Freigang S, Ampenberger F, Weiss A, Kanneganti TD, Iwakura Y, Hersberger M and Kopf M: Fatty acid-induced mitochondrial uncoupling elicits inflammasome-independent IL-1α and sterile vascular inflammation in atherosclerosis. Nat Immunol. 14:1045–1053. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Rath M, Müller I, Kropf P, Closs EI and Munder M: Metabolism via Arginase or nitric oxide synthase: Two competing arginine pathways in macrophages. Front Immunol. 5:5322014. View Article : Google Scholar : PubMed/NCBI | |
|
Napoli C, de Nigris F, Williams-Ignarro S, Pignalosa O, Sica V and Ignarro LJ: Nitric oxide and atherosclerosis: An update. Nitric Oxide. 15:265–279. 2006. View Article : Google Scholar : PubMed/NCBI | |
|
Luoma JS and Yla-Herttuala S: Expression of inducible nitric oxide synthase in macrophages and smooth muscle cells in various types of human atherosclerotic lesions. Virchows Arch. 434:561–568. 1999. View Article : Google Scholar : PubMed/NCBI | |
|
Esaki T, Hayashi T, Muto E, Yamada K, Kuzuya M and Iguchi A: Expression of inducible nitric oxide synthase in T lymphocytes and macrophages of cholesterol-fed rabbits. Atherosclerosis. 128:39–46. 1997. View Article : Google Scholar : PubMed/NCBI | |
|
Rom O, Grajeda-Iglesias C, Najjar M, Abu-Saleh N, Volkova N, Dar DE, Hayek T and Aviram M: Atherogenicity of amino acids in the lipid-laden macrophage model system in vitro and in atherosclerotic mice: A key role for triglyceride metabolism. J Nutr Biochem. 45:24–38. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Wallace C and Keast D: Glutamine and macrophage function. Metabolism. 41:1016–1020. 1992. View Article : Google Scholar : PubMed/NCBI | |
|
Kuznetsova T, Prange KHM, Glass CK and de Winther MPJ: Transcriptional and epigenetic regulation of macrophages in atherosclerosis. Nat Rev Cardiol. 17:216–228. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Conrath U: Molecular aspects of defence priming. Trends Plant Sci. 16:524–531. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
van der Heijden C, Noz MP, Joosten LAB, Netea MG, Riksen NP and Keating ST: Epigenetics and trained immunity. Antioxid Redox Signal. 29:1023–1040. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Heintzman ND, Hon GC, Hawkins RD, Kheradpour P, Stark A, Harp LF, Ye Z, Lee LK, Stuart RK, Ching CW, et al: Histone modifications at human enhancers reflect global cell-type-specific gene expression. Nature. 459:108–112. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Rada-Iglesias A, Bajpai R, Swigut T, Brugmann SA, Flynn RA and Wysocka J: A unique chromatin signature uncovers early developmental enhancers in humans. Nature. 470:279–283. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Ostuni R, Piccolo V, Barozzi I, Polletti S, Termanini A, Bonifacio S, Curina A, Prosperini E, Ghisletti S and Natoli G: Latent enhancers activated by stimulation in differentiated cells. Cell. 152:157–171. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Vento-Tormo R, Company C, Rodríguez-Ubreva J, de la Rica L, Urquiza JM, Javierre BM, Sabarinathan R, Luque A, Esteller M, Aran JM, et al: IL-4 orchestrates STAT6-mediated DNA demethylation leading to dendritic cell differentiation. Genome Biol. 17:42016. View Article : Google Scholar : PubMed/NCBI | |
|
Dekkers KF, Neele AE, Jukema JW, Heijmans BT and de Winther MPJ: Human monocyte-to-macrophage differentiation involves highly localized gain and loss of DNA methylation at transcription factor binding sites. Epigenetics Chromatin. 12:342019. View Article : Google Scholar : PubMed/NCBI | |
|
Novakovic B, Habibi E, Wang SY, Arts RJW, Davar R, Megchelenbrink W, Kim B, Kuznetsova T, Kox M, Zwaag J, et al: β-glucan reverses the epigenetic state of LPS-induced immunological tolerance. Cell. 167:1354–1368. e142016. View Article : Google Scholar : PubMed/NCBI | |
|
Zaret KS and Mango SE: Pioneer transcription factors, chromatin dynamics, and cell fate control. Curr Opin Genet Dev. 37:76–81. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Glass CK and Natoli G: Molecular control of activation and priming in macrophages. Nat Immunol. 17:26–33. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Schmidt SV, Krebs W, Ulas T, Xue J, Baßler K, Günther P, Hardt AL, Schultze H, Sander J, Klee K, et al: The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin. Cell Res. 26:151–170. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Liu T, Zhang L, Joo D and Sun SC: NF-κB signaling in inflammation. Signal Transduct Target Ther. 2:170232017. View Article : Google Scholar : PubMed/NCBI | |
|
Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, Cheng JX, Murre C, Singh H and Glass CK: Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell. 38:576–589. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Ghisletti S, Barozzi I, Mietton F, Polletti S, De Santa F, Venturini E, Gregory L, Lonie L, Chew A, Wei CL, et al: Identification and characterization of enhancers controlling the inflammatory gene expression program in macrophages. Immunity. 32:317–328. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Fanucchi S, Fok ET, Dalla E, Shibayama Y, Börner K, Chang EY, Stoychev S, Imakaev M, Grimm D, Wang KC, et al: Immune genes are primed for robust transcription by proximal long noncoding RNAs located in nuclear compartments. Nat Genet. 51:138–150. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Fanucchi S, Domínguez-Andrés J, Joosten LAB, Netea MG and Mhlanga MM: The intersection of epigenetics and metabolism in trained immunity. Immunity. 54:32–43. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Colin S, Chinetti-Gbaguidi G and Staels B: Macrophage phenotypes in atherosclerosis. Immunol Rev. 262:153–166. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Cochain C, Vafadarnejad E, Arampatzi P, Pelisek J, Winkels H, Ley K, Wolf D, Saliba AE and Zernecke A: Single-cell RNA-seq reveals the transcriptional landscape and heterogeneity of aortic macrophages in murine atherosclerosis. Circ Res. 122:1661–1674. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Piccolo V, Curina A, Genua M, Ghisletti S, Simonatto M, Sabò A, Amati B, Ostuni R and Natoli G: Opposing macrophage polarization programs show extensive epigenomic and transcriptional cross-talk. Nat Immunol. 18:530–540. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Czimmerer Z, Daniel B, Horvath A, Rückerl D, Nagy G, Kiss M, Peloquin M, Budai MM, Cuaranta-Monroy I, Simandi Z, et al: The transcription factor STAT6 mediates direct repression of inflammatory enhancers and limits activation of alternatively polarized macrophages. Immunity. 48:75–90. e62018. View Article : Google Scholar : PubMed/NCBI | |
|
Neele AE, Van den Bossche J, Hoeksema MA and de Winther MP: Epigenetic pathways in macrophages emerge as novel targets in atherosclerosis. Eur J Pharmacol. 763:79–89. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Mullican SE, Gaddis CA, Alenghat T, Nair MG, Giacomin PR, Everett LJ, Feng D, Steger DJ, Schug J, Artis D and Lazar MA: Histone deacetylase 3 is an epigenomic brake in macrophage alternative activation. Genes Dev. 25:2480–2488. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Hoeksema MA, Gijbels MJ, Van den Bossche J, van der Velden S, Sijm A, Neele AE, Seijkens T, Stöger JL, Meiler S, Boshuizen MC, et al: Targeting macrophage Histone deacetylase 3 stabilizes atherosclerotic lesions. EMBO Mol Med. 6:1124–1132. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Chistiakov DA, Kashirskikh DA, Khotina VA, Grechko AV and Orekhov AN: Immune-inflammatory responses in atherosclerosis: The role of myeloid cells. J Clin Med. 8:17982019. View Article : Google Scholar : PubMed/NCBI |