Abstract
Aim and objective
Emerging translational evidence suggests that epigenetic alterations (DNA methylation, miRNA expression, and histone modifications) occur after external stimuli and may contribute to exacerbated inflammation and the risk of suffering several diseases including diabetes, cardiovascular diseases, cancer, and neurological disorders. This review summarizes the current knowledge about the harmful effects of high-fat/high-sugar diets, micronutrient deficiencies (folate, manganese, and carotenoids), obesity and associated complications, bacterial/viral infections, smoking, excessive alcohol consumption, sleep deprivation, chronic stress, air pollution, and chemical exposure on inflammation through epigenetic mechanisms. Additionally, the epigenetic phenomena underlying the anti-inflammatory potential of caloric restriction, n-3 PUFA, Mediterranean diet, vitamin D, zinc, polyphenols (i.e., resveratrol, gallic acid, epicatechin, luteolin, curcumin), and the role of systematic exercise are discussed.
Methods
Original and review articles encompassing epigenetics and inflammation were screened from major databases (including PubMed, Medline, Science Direct, Scopus, etc.) and analyzed for the writing of the review paper.
Conclusion
Although caution should be exercised, research on epigenetic mechanisms is contributing to understand pathological processes involving inflammatory responses, the prediction of disease risk based on the epigenotype, as well as the putative design of therapeutic interventions targeting the epigenome.
Keywords: Inflammation, Epigenetics, Nutrition, Environmental factors, Personalized nutrition
Introduction
Inflammation encompasses a myriad of pathophysiological and immune responses to diverse environmental “insults”, such as toxins or pathogens, in order to facilitate tissue recovery and to maintain homeostasis [1]. These mitigation and reparation processes are mediated by the production and recruitment of cytokines, chemokines, adhesion molecules, and other autocrine/paracrine molecules focused on the local site of damage, thus inducing an acute inflammatory reaction [2]. However, when inflammation persists for a long time, it becomes a chronic condition, triggering a cascade of inflammatory events that eventually lead to durable cellular harms, permanent tissue injury, and organ dysfunction [3]. This state involves the induction of several pro-inflammatory mediators produced predominantly by activated macrophages, including Interleukin 1 beta (IL-1β), tumor necrosis factor-alpha (TNF-α), and interleukin 6 (IL-6) to perpetuate the inflammatory phenotype [4]. The inflammatory signaling is mediated by enzymes and adhesion molecules as well as the activation of nuclear factor kappa β (NF-κB) and other transcription factors as central regulators where the immune system and associated cells also play an orchestrated role [5]. The identification of factors involved in the onset and progression of inflammation is essential for the better understanding of inflammation-related disorders and the search for therapeutic targets.
Emerging evidence suggests that epigenetic processes affecting gene expression without changes in the nucleotide sequence may contribute to the pathophysiology of inflammatory processes [6]. In this context, it has been documented that epigenetic modifications (such as DNA methylation in CpG islands, chromatin remodeling by histone tail modifications, and non-coding RNA expression) occur after environmental stimuli and play a fundamental role in inflammatory gene transcription [7]. Indeed, integrative epigenome-wide association studies (EWAS) using large-scale bioinformatics analysis have reported different epigenetic marks related to several circulatory inflammation markers [8]. Therefore, epigenetic signature alterations may exacerbate inflammatory responses and influence the risk of chronic inflammatory disease, including diabetes, cardiovascular diseases, cancer, and neurological disorders [9]. However, elucidation of the specific epigenetic pathways involved in the modulation of the inflammasome and disease susceptibility remain largely unknown.
This review summarizes the current knowledge about the effects of obesity, infections (comprising bacterial and viral agents), smoking/excessive alcohol drinking, chronic stress, climate, pollution and other environmental factors including physical activity and the role of nutrients and dietary bioactive compounds on inflammation status through epigenetic mechanisms, and how these events may influence chronic disease development. This knowledge may allow the implementation of personalized nutrition based on inflammatory epigenetic signatures for the prevention and management of chronic inflammatory diseases.
Nutrition/dietary bioactive compounds
Nutritional factors have been related with a pro-inflammatory potential [10]. Particularly, the consumption of Western-type diets evokes a state of chronic metabolic inflammation “metainflammation” that contribute to the development of many prevalent non-communicable diseases [11]. In this context, complex interactions among food components and the epigenome modifications shape the cellular phenotype by a dynamic regulation of gene expression from some time ago [12]. Thus, epigenetic phenomena may account for the observed relationships between diet, inflammation, and diet‐related diseases [13].
Transgenerational animal studies have shown an increased inflammatory response after the consumption of high-fat/high calorie diets by altering miRNA expression and DNA methylation processes [14, 15]. In individuals at high-cardiovascular risk, the epigenetic signature associated with the consumption of fruit juice (rich in fructose) was enriched for pro-inflammatory pathways [16]. Consistently, compelling evidence supports the association of excessive fructose consumption with the presence of non-alcoholic fatty liver disease (NAFLD) involving alteration of transcriptomic and epigenetic mechanisms underlying lipid metabolism deregulation, increased liver fat accumulation, and inflammation [17]. Additionally, maternal low-dietary protein regulated miRNA expression targeting genes mapped to inflammatory-related pathways and metabolic health in offspring mice [18].
The role of dietary fatty acids in epigenetic and inflammatory processes has also been explored [19] and is summarized (Table 1). In this context, the trans fatty acid “elaidate” induced pro-inflammatory and adipogenic transcriptional profiles through methylation changes in cultured human monocytes [20]. Likewise, the saturated fatty acids “stearate” and “palmitate” were associated with DNA hypermethylation of the PPARγ1 gene promoter, which was identified as a critical determinant of pro-inflammatory activation and insulin resistance in macrophages [21]. Of note, DNA methylation levels of the TNF promoter were associated with adiposity measures and n-6 polyunsaturated fatty acid (PUFA) intake, suggesting a nutriepigenomic regulation of this recognized pro-inflammatory marker [22]. Remarkably, it has been reported that short-chain fatty acids (produced by the gut microbiota) can also target the epigenome to regulate host pathophysiological processes, including inflammation [23].
Table 1.
Type fatty acid | Dose/concentration | Study model | Epigenetic signatures | Modification types | Inflammation | Reference |
---|---|---|---|---|---|---|
Trans fatty acid elaidate sup | 50 μM | THP-1 monocytes | Global DNA methylation | ↑ | ↑ | [20] |
Saturated fatty acids stearate and palmitate | 200 μM palmitate and 200 μM stearate | Bone marrow–derived macrophages | PPARγ1 promoter DNA methylation | ↑ | ↑ | [21] |
n-6 PUFA | Intake inversely associated | Peripheral white blood cells | TNFα gene promoter methylation | ↓ | ↑ | [22] |
n3-PUFA supplementation | 3 g | Blood leukocyte | Differentially methylated CpG sites related to inflammatory and immune response | ND | ↓ | [24] |
Arachidonic acid | 100 μM | THP-1 cells | Global DNA methylation | ↑ | ↑ | [25] |
n3-PUFA supplementation | EPA and DHA provided in the form of 0.5% Gromega™ | Five sows | On chromosome 4, a 27.7-kb differentially methylated region downstream of RUNX1T1 gene | ↓ | ↓ | [196] |
n3-PUFA supplementation | EPA and DHA provided in the form of 0.5% Gromega™ | Five sows | Intergenic regions of chromosomes 4 and 12 | ↑ | ↓ | [196] |
Oleic acid supplementation | 5 μM | THP-1 cells | Global DNA methylation | ↑ | ↓ | [20] |
Oleic acid supplementation | 100 μM | THP-1 cells | Global DNA methylation | ↓ | ↓ | [25] |
ND non-determined
On the other hand, the anti-inflammatory potential of essential fatty acids mediated by epigenetic phenomena has also been analyzed (Table 1). For example, n-3 PUFA supplementation was associated with changes in DNA methylation profiles in blood leukocytes related to pathways involved in inflammatory and immune responses, among others [24]. In addition, in vitro analyses revealed that the anti-inflammatory effect of oleic acid, a monounsaturated fatty acid (MUFA), was related to DNA methylation signatures [25].
In relation to dietary fiber, an epigenome-wide association study in African American adolescents showed that DNA methylation levels at LPCAT1 and RASA3 genes (playing a role in colon cancer) were associated with fiber consumption, adiposity, and inflammation [26]. Concerning micronutrients, unbalanced intakes of folate [27], manganese [28], and carotenoids [29] have been associated with changes in the methylation status of candidate inflammatory genes in some populations.
On the other hand, dietary bioactive compounds are known to negatively regulate several inflammatory pathways [30]. Thus, it has been reported that plant-derived polyphenols exert anti-inflammatory properties by interfering with immune cell regulation, synthesis of pro-inflammatory cytokines, and gene expression, which are associated with health benefits for different chronic diseases related to inflammation such as obesity, type 2 diabetes (T2D), neurodegeneration, cardiovascular disease (CVD), and some types of cancer [31]. Polyphenols are compounds with phenolic structural features naturally distributed in fruits, vegetables, whole grains as well as in tea, chocolate, and red wine [32]. These include phenolic acids, flavonoids (i.e. epicatechin, luteolin, and fisetin) and phenolic amides, and other non-flavonoid polyphenols found in foods such as resveratrol, gallic acid and its derivatives, and curcumin [32]. Interestingly, studies have revealed that the protective effects of polyphenols on inflammation are partially modulated via epigenetic modifications, thus contributing to the current understanding of the molecular mechanisms of action of these biologically active compounds (Table 2).
Table 2.
Type of polyphenol | Dose/concentration | Study model | Epigenetic signatures | Modification types | Reference |
---|---|---|---|---|---|
Grape extract resveratrol | 8 mg | PBMCs from T2DM and hypertensive patients | miR-21, miR-181b, miR-663, and miR-30c2 expressions | ↑ | [33] |
Resveratrol | 10 μM | LPS-stimulated RAW 264.7 macrophages | miR-146a expression | ↓ | [197] |
Resveratrol | 1 g/kg | SAMP8 mice offspring | Nrf2 and Nfkb methylation levels | ↑ | [198] |
Resveratrol | 10 μM | ARPE-19 cells exposed to GOx and LPS | DNMT and SIRT1 expressions | ↑ | [199] |
Trans-resveratrol | 50 mg/kg | Postnatal rats exposed to perinatal asphyxia | miR132 and miR15a expressions | ↓ | [200] |
Mango (Mangifera indica L.) polyphenols | 10 mg/L | Rats exposed to dextran sodium sulfate (DSS) | miR-126 expression | ↑ | [34] |
Mango (Mangifera indica L.) polyphenols | 10 mg/L | LPS-treated CCD-18Co cells | miR-126 expression | ↑ | [34] |
Oleocanthal and oleacein | 25 µM/L | Adipocytes | miR-155-5p, miR-34a-5p and let-7c-5p | ↑ | [201] |
Hydroxytyrosol | 10 μM/L | Adipocytes | miR-155-5p, miR-34a-5p | ↓ | [202] |
Polyphenol-rich green tea | 500 mg/body weight | White adipose tissue | miR-335 | ↓ | [203] |
Apigenin | 10 mg/kg | C57BL/6 J mice | let-7f | ↑ | [204] |
(–)-Epicatechin | 5 μM | THP-1 cells exposed to high glucose | H3K9 acetylation and H3K4 dimethylation | ↓ | [35] |
Polyphenol-rich lingonberries (Vaccinium vitis-idaea) | 20% w/w | High-fat fed C57BL/6 J mouse | Ncor2 methylation | ↑ | [205] |
Luteolin | 10 μM | THP-1 cells exposed to high glucose | HAT activity | ↓ | [206] |
Gallic acid | 25 μM | THP-1 cells exposed to high glucose | HAT activity HDAC2 expression | ↓ | [207] |
Fisetin | 10 μM | THP-1 cells exposed to high glucose | HAT activity | ↓ | [208] |
Red raspberry polyphenols | 10 µg/ml−1 | J774 macrophages | H3K27Ac expression | ↓ | [209] |
Epigallocatechin gallate | 20 μM | Regulatory T cells | HDAC activity | ↑ | [210] |
For instance, the daily intake of grape extract resveratrol for 1 year modified the expression of a group of miRNAs involved in the regulation of the inflammatory response in PBMCs from hypertensive male patients with T2DM, including miR-21, miR-181b, miR-663, miR-30c2, miR-155, and miR-34a [33]. Moreover, mango (Mangifera indica L.) polyphenols, containing gallic acid and gallotanins, reduced inflammation in two in vitro and in vivo models of intestinal colitis by regulating the PI3K/AKT/mTOR pathway partially through up-regulation of miR-126 expression [34]. Additionally, the administration of (−)-epicatechin attenuated the high-glucose-induced inflammatory response in human monocytes by epigenetic modulation of H3K9 acetylation and H3K4 dimethylation [35], notably the combination of luteolin- and fisetin-induced anti-inflammatory effects in human monocytic cells under high-glucose concentrations involving histone acetyltransferase/histone deacetylase modifications [36]. In a similar high-glucose condition, curcumin decreased the production of pro-inflammatory cytokines by inhibiting histone acetylation in monocytes [37].
In addition to polyphenols, the anti-inflammatory role of other dietary factors and specific functional foods has also been assessed in different experimental models. In this regard, extra virgin olive oil (EVOO) and Nigella sativa oil displayed anti-inflammatory activities in lipopolysaccharide (LPS)-exposed human macrophages through epigenetic mechanisms [38]. In this study, the administration of both oils reverted the altered expressions of DNMT3A and HDAC1 to normal levels under inflammatory conditions, with an additional role of EVOO in the reduction of global methylation. Also, a nutritional intervention with Mediterranean diet plus EVOO influenced the methylation status of genes involved in inflammatory pathways in PBMCs [39]. Similarly, higher adherence to Mediterranean diet was positively associated with the methylation of a set of genes related to inflammation and immunocompetence in high cardiovascular risk volunteers [40].
Meanwhile, increased DNA methylation of the tumor necrosis factor (TNF) gene was found after supplementation of grapefruits extracts in rats, which may contribute to reduce chronic low-grade systemic inflammation in obesity [41]. Also, ginger extracts ameliorated obesity and inflammation in white adipose tissue of rats fed a high-fat diet via regulation of miR-21/132 expression and AMPK activation [42].
A maternal diet rich in methionine pathway metabolites induced global hypermethylation on T cells from F1 C57Bl/6 mice, which was associated with lower expression of inflammatory T cell chemokine receptors (CCR2, CCR5, CXCR3) and cytokines (TNF, IL2, and IL4) [43]. Furthermore, selenium and coenzyme Q10 supplementation reduced pro-inflammatory markers in healthy elderly participants through changes in plasma miRNA expression [44]. Vitamin D has been reported to down regulate inflammation-linked miRNA expression in adipocytes both in vitro and in vivo [45]. Besides, maternal high-zinc diet attenuated intestinal inflammation in offspring chicks by epigenetic changes [46].
Further, increasing research has provided evidence about the long-lasting epigenetic effects of calorie restriction which mediates expression of genes related to immuno-metabolic processes that may enhance quality of life and extend lifespan, with important applications for the prevention of chronic inflammatory diseases [47]. Interestingly, methylation profiles in inflammatory genes have been proposed to be used as epigenetic biomarkers concerning adiposity and metabolic outcomes in response to low-calorie diets (30% of energy restriction, 55% of energy as carbohydrates, 15% as proteins, and 30% as lipids) [48, 49]. Moreover, findings from the RESMENA and DIOGENES trials have evidenced a decline in inflammation [50, 51] and improvements of metabolic syndrome features [52, 53] after following an energy-restricted diet (− 30% energy of the calculated requirements, 40% total energy value from carbohydrates, 30% from proteins and 30% from lipids), which was partially explained by epigenetic signatures.
Physical activity
Studies have shown that some physical exercise may exert anti-inflammatory effects through epigenetic regulation depending on the type of activity, exercise duration, body composition, gender, and age [54]. However, excessive physical activity (i.e. in 10-km marathons, or treadmill runs for 120 min followed by a 5-km time trial in a fasted condition) can also induce inflammation [54]. Thus, in a population-based cohort study, substituting light-intensity physical activity (< 3 METs; acceleration intensities 1–3) for sedentary time was associated with higher methylation of the ASC gene, a potential biomarker of systemic inflammation [55]. Also, aerobic capacity, as measured by peak oxygen uptake (17.31 ml/kg/min), was positively associated with increased ASC methylation as well as with decreased plasma IL-1β levels in stable outpatients with heart failure, suggesting that inflammatory processes may influence aerobic capacity [56]. Furthermore, interval walking training (IWT) increased NFKB2 gene promoter methylation, indicating that this physical regime may epigenetically impact the susceptibility to inflammation [57]. IWT consisted of performing several continuous sets of 3-min low-intensity walking periods at 40% of the peak aerobic capacity, followed by 3-min high-intensity walking periods at > 70% peak aerobic capacity for as many days as possible over a period of 6 months [57]. Of note, diet could interact with physical activity since the supplementation of dried tofu during IWT enhanced NFKB2 gene methylation more than IWT alone, suggesting an immunomodulatory synergistic effect of diet and physical activity via epigenetic modulation [58]. Consistently, higher dose of dairy product intake (1 unit of cheese + 2 units of yogurt) plus IWT produced increases in NFKB1 and NFKB2 gene methylations in older women, suggesting a larger pro-inflammatory cytokine gene suppression effect [59].
In patients with obesity, physical activity (26 mixed aerobic and endurance training sessions of 90 min administered twice a week during 3 months) modulated the overexpression of the inflamma-miR-146a-5p, which was postulated as a biomarker and personalized predictor of the clinical response to physical activity weight-reduction programs in obesity [60]. Surprisingly, acute aerobic exercise (30 min, 75% VO2max) elicited higher elevation of inflammatory miRNAs in obese patients compared to lean individuals [61]. In basketball players, changes in circulating miR-146a after acute exhaustive exercise (the average playing time of every athlete was 260 min for 3 months, peak VO2 ≈35 ml/min/kg) showed linear correlations with levels of the inflammatory marker high-sensitivity C-reactive protein [62]. Moreover, distinct and specific circulating inflammatory miRNA (c-inflammamiRs) signatures were found in plasma samples from active middle-aged males following different doses of acute aerobic exercise (0 h, 24 h, 72 h) 10-km, half-marathon, and marathon races), suggesting an epigenetic mechanism controlling the exercise-induced inflammatory cascade [63]. The results of this study revealed a dose-dependent effect of aerobic exercise on systemic inflammation, with higher levels detected after 10-km race [63]. Compared to age-matched sedentary controls, master athletes (European Veterans Athletics Championships in 2010, Nyiregyhaza, Hungary) had decreasing ageing-related inflammation in skeletal muscle related to lower levels of miR-7, which has been suggested to be involved in chronic inflammation in the elderly [64]. Additionally, acute strenuous exercise (consisting of stepping up and down from a step until complete exhaustion) led to enhanced chronic low-grade inflammation in PBMCs from obese individuals via an imbalance on Histone H4 Acetylation/Histone Deacetylase 2 as compared to lean subjects [65]. Together, these findings suggest that the impact of physical activity in inflammation is dependent of type, intensity, and clinical settings of exercise interventions [54].
Obesity and associated diseases
Obesity is a metabolic condition associated with adipose tissue dysfunction and low-grade systemic inflammation that causally contributes to the development of chronic disorders such as T2D and CVD, where epigenetic mechanisms may be involved [66]. Indeed, it has been reported that the alteration of the adipocyte physiology in obesity might be related to specific alterations in the expression pattern of miRNAs related to inflammatory processes [67]. Also, the adverse effects of the inflammatory state include insulin resistance in the adipose tissue and pancreatic β-cell dysfunction, which may induce epigenetic changes that perpetuate inflammation [68]. In consequence, the resulting hyperglycemia and hyperlipidemia conditions as well as persistent inflammation involving epigenomic deregulation could cause damage to the vasculature with putative risk to develop CVD [69]. In the same time, excessive adiposity negatively impacts immune function and host defense in obese individuals, increasing the susceptibility to infection and related morbidity and mortality [70].
Epigenetic mechanisms involved in obesity-related inflammation are summarized (Table 3). For example, global DNA hypermethylation has been positively associated with increased expression of specific pro-inflammatory genes (including the CCL2 gene) in adipocytes from obese individuals [71]. BMI-discordant twin pair analyses detected methylome deregulations of subcutaneous adipose tissue in obesity that trigger inflammation and may contribute to the development of unhealthy obesity outcomes [72]. Thus, methylation analyses in obese individuals showed significantly lower methylation of four CpGs in the first exon of the TLR4 gene, suggesting epigenetic regulation of inflammatory processes in obesity [73]. Moreover, it was reported that aberrant methylation of the IL6 gene promoter may play a role in the etiology and pathogenesis of excessive body weight in humans [74]. Findings from the Methyl Epigenome Network Association (MENA) project revealed associations between methylation sites in peripheral blood mononuclear cells (PBMCs) and waist circumference, which were located in genes related to inflammation and obesity [75]. Likewise, it was reported that DNA methylation in adipose-derived stem cells was significantly modified by an obese environment, affecting pathways involved in adipogenesis, inflammation, and immunosuppression [76]. Genome-wide DNA methylation analysis in visceral adipose tissue of severely obese men with and without metabolic syndrome detected differentially methylated regions mapped to genes related to inflammation and immunity [77].
Table 3.
Study model | Epigenetic signatures | Modification types | Reference |
---|---|---|---|
DNA methylation | |||
Human adipocytes | Global DNA methylation | ↑ | [71] |
Human subcutaneous adipose tissue | Methylation of 17 novel obesity-associated genes | DMRs | [72] |
Human white blood cells | Methylation of four CpGs in the first exon of TLR4 gene | ↓ | [73] |
Human white blood cells | DNA methylation of IL6 gene promoter | ↑ | [74] |
Human peripheral white blood cells | DNA methylation of 375 CpGs | DMRs | [75] |
Human adipose-derived stem cells | Global DNA methylation | ↓ | [76] |
Human visceral adipose | 8578 methylation probes (3258 annotated genes) | DMRs | [77] |
Human visceral adipose | Global DNA methylation affecting DNMT expression | DMRs | [78] |
Mice macrophages | DNMT3b expression | ↑ | [79] |
Mice adipose tissue | Dnmt3a expression | ↑ | [80] |
Mice adipose tissue | KLF14 gene methylation | ↑ | [81] |
Porcine leukocytes | Global DNA methylation | ↑ | [82] |
Mice white adipose tissue | Ankrd26 gene methylation | ↑ | [83] |
Human peripheral white blood cells | ANKRD26 methylation | ↑ | [84] |
Human monocyte-derived macrophages | IL1B gene promoter methylation | ↑ | [85] |
Human monocyte-derived macrophages | IL10 gene promoter methylation | ↓ | [85] |
Human cord blood monocytes | Global DNA methylation | ↓ | [86] |
miRNA profiles | |||
Human subcutaneous adipose | Obesity-related miRNAs expression | DERs | [87] |
Human adipose tissue | Exosomal miRNAs expression | DERs | [88] |
Human plasma | miR-34a expression | ↑ | [89] |
Human plasma | miR-126, miR-146a and miR-150 expression | ↓ | [89] |
Human adipose tissue | miR-221, miR-222, and miR-155 | ↑ | [90] |
Human peripheral blood | MiR-374a-5p expression | ↑ | [91] |
Human Th17 cells | miR-326 expression | ↑ | [92] |
Mice adipose tissue macrophages | miR-30 expression | ↓ | [93] |
Mice adipose tissue | miR-34a expression | ↑ | [94] |
Mice adipose tissue macrophages | miR-155 expression | ↑ | [95] |
Human adipose tissue | miR-155 expression | ↑ | [96] |
Mice adipose tissue | miR-27a expression | ↑ | [97] |
Mice peritoneal macrophages | miR-130b expression | ↑ | [98] |
Human adipose tissue | miR-320 expression | ↑ | [99] |
Mice adipose tissue | miR-221 expression | ↑ | [100] |
Human macrophages | miR-223 expression | ↑ | [101] |
Human adipose tissue | miR-193b and miR-126 expressions | ↑ | [102] |
Mice adipose tissue | miR-1934 expression | ↓ | [103] |
Mice adipose tissue | miR883b-5p expression | ↓ | [104] |
Mice adipose tissue macrophages | miRNA-146a | ↓ | [105] |
Mice adipose tissue | miR-706 expression | ↓ | [106] |
Human PBMCs | miR-21 expression | ↓ | [107] |
Mice adipose tissue | miR-301a expression | ↓ | [108] |
Mouse chondrocytes | miR-26a expression | ↓ | [109] |
Histone modifications | |||
Human adipose tissue | HDAC2 expression | ↑ | [110] |
Human adipose tissue | HDAC4, 5, and 6 | ↓ | [110] |
Mice adipose tissue | KDM1A expression | ↓ | [111] |
Human and mice adipose tissue | SirT1 expression | ↓ | [112] |
Mice adipose tissue | Lipin 1 expression and HDAC recruitment | ↓ | [113] |
DMRs Differentially methylated regions, DERs differentially expressed regions
Of note, the expression of the NNMT gene, a major methyltransferase enzyme, was positively correlated with markers of inflammation in adipose tissue samples from morbidly obese patients [78]. In addition, a higher expression of DNMT3b methyltransferase was found in adipose tissue macrophages isolated from obese mice, supporting a role for DNMT3b in regulation of macrophage polarization and inflammation in obesity [79]. In adipose tissue of obese mice, gene expression levels of the Dnmt3a methyltransferase were markedly increased, as were many inflammatory cytokines, suggesting that increased expression of Dnmt3a may contribute to obesity-related inflammation [80]. Remarkably, DNA methylation changes of the Klf14 gene (a master regulator of gene expression) provided prediction for chronic inflammation in the adipose tissue of mice suffering obesity and diabetes conditions [81]. Furthermore, altered gene methylation profiles on immune cells were related to impaired metabolism and inflammatory response in a porcine model of obesity [82].
In mice, diet-induced obesity led to hypermethylation of the Ankrd26 gene (previously associated with the development of obesity and T2DM), which in turn, contributed to enhanced secretion of pro-inflammatory mediators in white adipose tissue [83]. Consistently, epigenetic silencing of the ANKRD26 gene by increased promoter methylation correlated with a pro-inflammatory profile and the presence of cardio-metabolic risk factors in peripheral leukocytes from obese individuals [84]. Transgenerational studies detected DNA methylation changes of key inflammatory genes in monocytes from neonates born of obese mothers, underlying an intrauterine epigenetic programming of immune function by maternal obesity [85]. Accordingly, maternal pregravid obesity has been associated with epigenetic modifications altering the inflammatory program of the offspring’s monocytes at birth [86].
A bioinformatic approach identified a total of 23 active microRNAs (miRNAs) and transcription factor regulatory pathways significantly associated with obesity-related inflammation [87]. Also, a set of exosomal miRNAs differentially expressed in abdominal obesity was associated with inflammation [88]. Overweight and obesity led to deregulation of circulating inflammatory miRNAs, which may contribute to the heightened inflammatory state associated with these conditions [89]. In adipocytes and macrophages, inflammation boosted a specific miRNA pattern, with a negative impact on the physiopathology of obesity-induced inflammation [90].
Particularly, circulating miR-374a-5p was characterized as a potential modulator of the inflammatory response in obesity [91]. In vitro analyses unveiled a key role of miR-326 expression in mediating obesity-induced adipose tissue inflammation through regulating the differentiation toward Th17 cells [92]. Also, miR-30 was identified as an important regulator of macrophage polarization in mice, indicating that miR-30 could be a therapeutic target for obesity-induced metabolic inflammation [93]. Besides, adipocyte-secreted exosomal miR-34 was progressively increased with the development of dietary obesity, transmitting signals of nutrient overload to adipose-resident macrophages for exacerbation of obesity-induced systemic inflammation and associated metabolic complications [94]. In the same way, obesity induced an imbalance in macrophage polarization in adipose tissue through miR-155 up-regulation, thus causing chronic inflammation and insulin resistance [95]. Accordingly, obesity-associated inflammation induced miR-155 expression in adipocytes resulting in an increased inflammatory state in these cells [96]. Using an obese mice model, it was observed that the expression of miR-27a increased concomitantly with the activation of pro-inflammatory pathways [97]. Meanwhile, miR-130b contributed to obesity-associated adipose tissue inflammation and insulin resistance in diabetic rodents [98]. Endoplasmic reticulum stress and inflammatory markers were up-regulated in obese patients, showing positive correlations with miR-320 expression in adipose tissue [99]. miR-221 triggered white adipose tissue inflammation and insulin resistance in obesity partially through suppressing SIRT1 [100]. Visceral adipose miR-223 up-regulation modulated macrophage-mediated inflammation in human and murine obesity models [101]. miR-126 and miR-193b were further identified as important regulators of adipose inflammation in human obesity through effects on CCL2 production [102].
In contrast, the anti-inflammatory miR-1934, miR532-5p, and miR-146a were down-regulated in obesity, which promoted inflammation in adipose tissues [103–105]. Moreover, down-regulation of miR-706 played a role in increasing adipose tissue inflammation in the offspring during maternal obesity in mice [106]. Likewise, decreased expression of miR-21 was associated with enhanced inflammatory cytokine production in PBMCs from obese individuals [107]. Decreased levels of miR-301a and miR-26a correlated with increased chronic inflammation in circulation in obese mouse models [108, 109].
Furthermore, transcriptional analyses showed associations between expressions of histone deacetylases (HDACs), adiposity indices, and obesity-induced inflammation in adipose tissues from obese women [110]. Interestingly, diet-induced and genetic mouse models of obesity displayed decreased expression of the histone demethylase (HDMs) KDM1A in adipose tissue, which promoted the expression of inflammatory genes, thus contributing to the development of obesity-associated inflammation [111]. Furthermore, it was evidenced that SirT1 expression, an essential nutrient-sensing HDAC, regulated adipose tissue inflammation during overnutrition in rodents and humans [112]. Also, it was demonstrated that lipin 1 (a bifunctional protein that regulates gene transcription and triacylglycerol synthesis) inhibited the secretion of inflammatory factors in adipocytes via repression of NFATc4 transcriptional activity and HDACs recruitment; however, this anti-inflammatory effect was attenuated during obesity [113].
Together, these insights support the role of epigenetic mechanisms underlying obesity-induced inflammation and accompanying chronic diseases, including T2D and CVD [66]. This knowledge opens new possibilities for a potential use of epigenetic signatures as biomarkers for diagnosis, prognosis, and personalization of obesity treatment as well as targets for disease management [67].
Endocrine disrupting chemicals
Endocrine disrupting chemicals (EDCs) are common environmental compounds (i.e. phthalates and bisphenol A) that may induce chronic disease through hormone dysfunction and inflammatory processes [114]. In this regard, exposure to many EDCs can influence the onset or progression of CVD by epigenetic modifications affecting lipid homeostasis and atherosclerosis [115]. Indeed, the association of bisphenol A exposure with CVD and hypertension encompasses endocrine disturbance, induction of oxidative stress and inflammation, and epigenetic phenomena [116].
Concerning the role of epigenetic phenomena in mediating EDCs-induced inflammation, it was reported that mono-(2-ethylhexyl)phthalate led to an increased inflammatory response by impairing important epigenetic regulators and inflammasome activation in macrophages [117]. Also, maternal exposure to butyl benzyl phthalate increased the risk for allergic airway inflammation in the offspring through methylation modifications [118]. Meanwhile, perinatal bisphenol A exposure enhanced the mast cell-mediated production of pro-inflammatory mediators of adult mice, which was associated with pulmonary inflammation and global DNA methylation levels [119]. Similarly, gestational exposure to bisphenol A increased inflammation/oxidative stress markers in sheep through epigenetic alterations [120].
Infections
Infectious diseases are caused by a broad range of pathogenic microorganisms including viruses, bacteria, parasites or fungi. In the past years, new infectious diseases have emerged, including the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2/COVID-19) in December 2019, with serious public health implications worldwide due to rapid spread and the absence of specific treatment schemes or vaccine [121].
After invading the host, complex signaling pathways between immune cells are activated in order to coordinately initiate an inflammatory response against infection, where epigenetic mechanisms shaping the course of inflammation are involved [122]. In some cases, the immunological response to infection may be excessive, producing an inflammatory cytokine storm that eventually lead to extensive tissue damage and organ dysfunction [123].
For instance, it has been reported that inflammation triggered by Helicobacter pylori infection was related to differential DNA methylation patterns in human gastric mucosa [124]. Also, H. pylori-induced chronic inflammation played a direct role in the induction of aberrant DNA methylation, which correlated with gastric cancer risk [125]. In humans, the levels of methylation in gastric mucosae were associated with H. pylori virulence and measures of chronic inflammation [126]. During chronic H. pylori infection, inflammation-induced epigenetic silencing of miR-210 was identified as a mechanism of proliferation of gastric epithelium, with implications in gastric cancer development [127].
Experimental periodontitis using systemic microbial challenge (Porphyromonas gingivalis gavage) led to distinct patterns of inflammatory and epigenetic features [128]. miR-181a-5p and miR-21a-5p influenced the expression of inflammatory mediators in macrophages infected with Brucella abortus, thus contributing to bacterial control in host cells [129]. In addition, bacterial vaginosis predicted the length of gestation through miRNA-related epigenetic programming of the inflammatory response [130]. Furthermore, histone H3K14 hyperacetylation and differentially expressed miRNAs regulated the host inflammatory response during Staphylococcus aureus infection in mice mammary tissue [131]. Similarly, Escherichia coli infection in murine mammary tissue promoted histone hyperacetylation at genes related to the expression of inflammatory genes and drastic immune response [132].
Sepsis is defined as life-threatening organ dysfunction caused by a deregulated systemic immune response to infection. Interestingly, DNA methylation changes have been associated with sepsis in monocytes, which correlated with inflammatory signals [133]. Besides, chromatin modifications have been implicated in the regulation of the cellular immune/inflammatory responses in patients with sepsis [134].
Regarding viral infections, it was demonstrated that TLR3 activation increased HIV-1 transactivation in primary human macrophages via the inflammatory JNK and NFκB pathways and histone acetylation [135]. In vivo analyses revealed that respiratory syncytial virus infection induced the H3K4 demethylase KDM5B to promote an altered immune/inflammatory response that contributed to the development of chronic disease [136]. Human cytomegalovirus infection resulted in profound effects on the host cell DNA methylation machinery and was associated with inflammation in vivo [137]. Hypermethylation of PPAR gamma (PPARG) promoter was associated with liver inflammation and fibrosis in chronic hepatitis B virus infection [138]. An in vitro assay showed that loss of TIMP-3 by hypermethylation promoted chronic inflammation and tumor invasion during human papillomavirus infection [139]. miR-155, an indicator of inflammation-induced hepatocyte damage, was up-regulated both in monocytes and in the serum of patients with chronic hepatitis C infection [140]. Remarkably, DNA methyltransferase inhibition of regulatory T cells (Tregs) accelerated resolution of influenza-induced lung inflammation and related injury repair in mice [141].
Indeed, the development of immunomodulatory therapies targeting the epigenome during infectious diseases have emerged in the past years [142]. In this context, histone H3 modulation in macrophages was proposed as a strategy to attenuate the NF-κB/NLRP3-mediated inflammatory response during infection by the parasite Leishmania donovani [143]. Also, in vitro inhibition of the epigenetically active bromodomain and extraterminal domain (BET) proteins suppressed inflammation induced by the fungal pathogens Candida albicans and Aspergillus fumigatus [144]. Moreover, the pharmacological inhibition of the histone Lys demethylase JMJD3 protected mice against early septic death and reduced pro-inflammatory cytokine production via up-regulation of miR-146a [145]. Similarly, histone demethylase KDM3C demonstrated an anti-inflammatory effect by suppressing NF-κB signaling against oral bacterial infection in mice [146].
Smoking and excessive alcohol drinking
Smoking and urban particulate air pollution may alter systemic immunologic and inflammatory reactions. Cigarette smoke-induced inflammation was related to significant changes in active and repressive gene markers on histone 3 and histone 4 involving the regulation of the NLRP10 molecule, both in vivo and in vitro [147]. In bronchoalveolar lavage cells, tobacco smoke exposure increased the activity of inflammatory pathways by inducing continuous active demethylation processes [148]. Also, exposure of human macrophages to cigarette smoke extract promoted pro-inflammatory cytokine release by activation of the NF-κB pathway and concomitant posttranslational modifications of HDACs [149]. Remarkably, the prenatal environmental tobacco smoke exposure in mice increased the risk of pulmonary inflammation in the offspring through altered DNA methylation patterns [150]. In humans, the smoking-induced hypomethylation of the GPR15 gene (a chemoattractant receptor involved in systemic inflammation) has been proposed as an epigenetic biomarker underlying the potential role of smoking in chronic inflammatory pathologies [151]. Bioinformatic analyses revealed that long-term chronic smoking in African American women was associated with altered promoter DNA methylation of genes mapped to critical sub-networks modulating inflammation and immune function [152].
Excessive alcohol drinking causes inflammation and impairs the body’s ability to regulate the inflammatory response. Integrative epigenetic profiling analysis in blood samples from individuals with chronic alcohol consumption identified DNA methylation changes in genes related to inflammation (including HERC5) [153]. Nevertheless, the treatment with S-adenosyl-l-methionine (SAM), the methyl donor for all methylation reactions, did not improve the histopathology scores for hepatocyte inflammation and damage in patients with alcohol liver disease [154].
Notably, alcohol exposure decreased miR-148a expression in human hepatocytes, leading to NLRP3 inflammasome activation and liver injury [155]. Molecular analyses identified a regulatory role for miR-155 in chronic alcohol-induced intestinal inflammation and barrier dysfunction in a knockout animal model [156]. In this regard, up-regulation of miR-155 by chronic alcohol-intake trigged the production of the inflammatory cytokine TNF-α in macrophages [157]. Similarly, alcohol-induced miR-155 and HDAC11 increased the responsiveness of Kupffer cells to LPS by disinhibiting the TLR4 inflammatory pathway [158]. Furthermore, chronic ethanol intake up-regulated miR-155 and contributed to neuro-inflammation in mice [159], whereas miR-339-5p had an inhibitory effect in this patho-phenotype [160].
Sleep patterns
Experimental and clinical observational studies suggest that disturbed sleep patterns may contribute to inflammatory processes linked to CVD and other metabolic diseases through a complex network of autonomic, endocrine, and cytokine signals [161]. Epigenetic signatures may be an important biological mechanism linking poor sleep to inflammation, although limited evidence exists. In this context, sleep deprivation (deprived of restful REM sleep using the flowerpot technique) was associated with a significant unbalance in histone activity as well as oxidative stress and ongoing inflammation in rat hippocampus [162]. Moreover, differentially expressed genes involved in inflammatory pathways and declined fertility were detected in male rats exposed to chronic sleep restriction, which was not related to DNA methylation mechanisms [163]. Also, sleep-disordered breathing (a common disorder inducing oxidative stress and inflammation) was associated with epigenetic age acceleration among individuals at high cardiovascular risk [164]. Furthermore, epigenetic modifications have been proposed to constitute an important determinant of inflammatory phenotype in obstructive sleep apnea [165].
Chronic stress and social features
Chronic stress has been linked to negative health outcomes, including increased inflammation. Findings from the Multi-Ethnic Study of Atherosclerosis (MESA) showed that chronic stress by living in unfavorable neighborhood conditions was associated with methylation changes in genes related to stress reactivity (AVP, BDNF, FKBP5, SLC6A4) and inflammation (CCL1, CD1D, F8, KLRG1, NLRP12, SLAMF7, TLR1) [166]. In this same sample, life course measures of socioeconomic status also correlated with the methylation status of stress- and inflammation-related genes using a multi-level modeling approach [167]. Indicators of socioeconomic status were also associated with DNA methylation of genes involved in inflammation in healthy Italian individuals [168]. Likewise, social environments (including household socioeconomic condition in childhood) predicted DNA methylation patterns of inflammatory genes in young adulthood in Asians [169]. Moreover, it was reported that exposure to trauma and adversity during early life (i.e. neighborhood violence during childhood) amplified the adult pro-inflammatory response to stress in African American men, which was related to epigenetic phenomena involving IL6 promoter hypomethylation [170]. Additionally, the miR-106b∼25 cluster seems to play a role in mediating inflammatory and behavioral responses to repeated social defeat stress in a mouse model of stress vulnerability [171].
Interestingly, a brief yoga intervention (8 weeks of twice-weekly, hour-long yoga classes) modified the methylation levels of inflammatory markers in a community population of women with psychological distress [172]. Indeed, a day of intensive practice of mindfulness meditation reduced the expression of chromatin modulatory and inflammatory genes in PBMCs from experienced meditators [173]. Further research confirmed a relationship between a short meditation intervention (a day of intensive meditation practice for 8 h) in trained subjects and methylated sites in genes involved in immune cell metabolism and inflammation [174]. Remarkably, life satisfaction was prospectively associated with promoter methylation of the inflammatory TLR2 gene [175].
Climate
Climatological conditions such as air pollution and oxygen level may be associated with susceptibility to chronic inflammatory diseases by affecting the epigenome. Regarding the effects of air pollution on inflammation by epigenetic modulation, it was reported that the long-term exposure (annual average in the preceding year) to fine particulate matter (PM2.5) was associated with increased TNF-α expression through a reduction in TNF-α gene methylation in women [176]. In addition, changes in TNF methylation were proposed to mediate acute inflammation following personal exposure to fine particulate air pollution [177]. Consistently, adverse cardiac autonomic dysfunctions by PM2.5 exposure was partially related to methylation changes in the inflammatory TLR2 gene [178]. Increases in primary and secondary air pollutant concentrations also involved TLR2 methylation modifications, which could be an epigenetic biomarker underlying the adverse effects of air contamination on health [179, 180]. Noteworthy, exposure to urban particular matter interacted with obesogenic nutrition to regulate inflammation and oxidative stress pathways involving tissue-differential DNA methylation effects [181]. Also, whole-genome analyses detected altered DNA methylation patterns in oxidative and inflammatory pathway genes associated with both air pollution and vascular disease risk in Italians [182]. An inverse association was correspondingly reported between the daily exposure to particulate matter (specifically PM10) and the DNA methylation status of inflammatory genes in peripheral blood of obese subjects [183].
Besides, it was evidenced that the adverse cardiovascular and metabolic effects as consequence of air pollution inhalation may be mediated by miRNAs targeting key factors orchestrating coagulation and inflammatory pathways [184]. Later work disclosed positive correlations between PM2.5 exposure and the expression of several miRNAs (miR-21-5p, miR-187-3p, miR-146a-5p, miR-1-3p, and miR-199a-5p) predicted to target inflammatory markers [185]. Microarray analyses uncovered an underlying mechanism of PM2.5-induced airway inflammation involving regulation of non-coding RNAs co-targeting miR-3607-5p in bronchial cells [186]. Furthermore, inhalation of ozone (O3), another criteria air pollutant, disrupted the expression of miRNA profiles associated with inflammatory and immune response signaling [187]. Intriguingly, it was reported that particulate matter air pollution might attenuate the inflammatory response in Chinese children, in some extent mediated by miRNAs regulating pro-inflammatory genes [188]. These findings support the involvement of epigenetic phenomena in the induction of inflammatory processes after the exposure to environmental air pollutants (Fig. 1).
The role of hypoxia as a main inducing factor of inflammation has been elucidated in recent years [189]. For example, low oxygen consumption was associated with IL6 gene hypomethylation and increased serum IL-6 concentrations in obese subjects with sleep apnea–hypopnea syndrome [190]. A mechanistic role of inflammasome activation in determining aerobic capacity (measured by peak oxygen uptake) was suggested since the percentage of methylation of the ASC gene and plasma IL-1β levels correlated with aerobic capacity in stable outpatients with heart failure [191]. Also, response to hypoxia in adipocytes was related to gene promoter hypomethylation and up-regulation of pro-inflammatory cytokines [192]. Moreover, gestational intermittent hypoxia induced endothelial dysfunction, triggered pro-inflammatory gene expression, and caused epigenetic changes in adult male offspring to increase the risk of developing cardiometabolic disease [193]. Similarly, epigenetic programming of pro-inflammatory phenotype in the heart development and vulnerability to disease later in life were associated with fetal hypoxia in rats [194]. Furthermore, hypoxia drove cardiac miRNAs profiles and inflammation processes in the right and left ventricle in a murine model [195].
Concluding remarks
Obesity and unhealthy diet as well as adverse environmental stimuli including sleep deprivation, chemical exposure, alcohol abuse, smoking, and climate pollution promote inflammatory processes in the host through epigenetic alterations, involving predominantly DNA methylation modifications in animal studies (Table 4). However, further studies in humans focused on other epigenetic mechanisms, such as histone acetylation/deacetylation processes and miRNA regulation affecting pro-inflammatory gene expression are required.
Table 4.
Type of stimuli | Dose/time | Study model | Epigenetic signatures | Modification types | Reference |
---|---|---|---|---|---|
Endocrine disrupting chemicals exposure | |||||
Mono-(2-ethylhexyl)phthalate | 50 μM | RAW 264.7 Cells | SIRT activity and protein expression | ↓ | [117] |
butyl benzyl phthalate | 3 µg/ml | murine transgenerational asthma model | Global DNA methylation | ↑ | [118] |
Bisphenol A |
50 ng/kg diet 50 μg/kg diet 50 mg/kg diet |
bone marrow-derived mast cells of adult mice | Global DNA methylation | ↑ | [119] |
Bisphenol A | 0.5 mg/kg | Sheep placentomes | DNA methyltransferase 3 A and histone deacetylase 1 expressions | ↑ | [120] |
Smoking | |||||
Cigarette smoke exposure | 250 or 1000 ng/ml | Lungs of C57Bl/6 mice | Histone 3 and histone 4 acetylation | ↑ | [147] |
Cigarette smoke exposure | At least 5 cigarettes per day | Human bronchoalveolar lavage cells | 5hmC differentially methylated positions | DMRs | [148] |
Cigarette smoke extract | 1% and 2.5% | Human macrophages | HDAC activity and protein levels | ↓ | [149] |
Environmental tobacco smoke | 1.0 mg/m(3) | Offspring of pregnant C57BL/6 mice | Global and IL13 DNA methylation | ↓ | [150] |
Cigarette smoke exposure | Current smokers | Human peripheral blood | GPR15 methylation | ↓ | [151] |
Cigarette smoke exposure | Active smokers | Human PBMCs | AHRR and GPR15 gene methylation | DMRs | [152] |
Excessive alcohol drinking | |||||
Alcohol dependence | ≥ 80 g of alcohol intake/day | Human PBMCs | HERC5 gene methylation | ↑ | [153] |
Alcohol exposure | > 60 g/day | Human hepatocytes | miR-148a expression | ↓ | [155] |
Acute alcohol binge | 5 g/kg 50% alcohol/day | Small bowel in mice | miR-155 expression | ↑ | [156] |
Alcohol exposure | 25 mm alcohol | RAW 264.7 cells | miR-155 expression | ↑ | [157] |
Alcohol exposure | 32.4% alcohol‐derived calories | Mice Kupffer cells | miR-155 and HDAC11 expressions | ↑ | [158] |
Alcohol exposure | 5% ethanol | Mouse cerebellum | miR-155 expression | ↑ | [159] |
Alcohol exposure | 15% alcohol | Mouse brain tissue | miR-339-5p expression | ↓ | [160] |
Sleep disturbances | |||||
REM sleep deprivation | Three sessions of 48 h each | Rat’s hippocampus | HAT/HDAC activity | ↑ | [162] |
Sleep-disordered breathing | Apnea–hypopnea index | Human whole blood samples | DNA methylation-age acceleration | ↑ | [164] |
Obstructive sleep apnea | With and without high levels of hsCRP (1.50 mg/dL) | Human whole blood samples | FOXP3 and IRF1 gene methylation | ↑ | [165] |
Climate (air pollution) | |||||
PM2.5 exposure | Annual average exposition | Human whole blood samples | TNF-α methylation | ↓ | [176] |
PM2.5 exposure | Continuously for 72 h | Human whole blood samples | TNF-α methylation | ↓ | [177] |
PM2.5 exposure | 10 μg/m(3) | Human whole blood samples | TLR2 gene methylation | ↑ | [178] |
Traffic-related pollutants exposure | 28 days cumulated exposure | Human whole blood samples | TLR2 gene methylation | ↓ | [179] |
Traffic-related pollutants exposure | One-week exposure | Human whole blood samples | F3 gene methylation | ↓ | [180] |
Urban PM exposure | One-week exposure | Mouse lung samples | Dnmt3a2 expression | ↑ | [181] |
NO2 and PM2.5 exposure |
17 years before cerebrovascular disease diagnosis | Human whole blood samples | DNA methylation of inflammatory pathways | DMRs | [182] |
PM10 exposure | Mean of 1 and 14 days | Human peripheral blood samples | CD14 and TLR4 methylation levels | ↓ | [183] |
PM and metal exposure | 4 days of steel production work | Human peripheral blood samples | miR-302b, miR-200c and miR-30d expressions | ↑ | [184] |
PM2.5 exposure | Two-week periods | Human whole blood samples | miR-21-5p, miR-187-3p, miR-146a-5p, miR-1-3p and miR-199a-5p expressions | ↓ | [185] |
PM2.5 exposure | 75 μg/ml | Human bronchial epithelial cell line | circRNA104250 and lncRNAuc001.dgp.1 expressions | ↑ | [186] |
O3 exposure | 0.4 ppm O3 for 2 h | Sputum samples | miR-132, miR-143, miR-145, miR-199a*, miR-199b-5p, miR-222, miR-223, miR-25, miR-424, and miR-582-5p expressions | ↑ | [187] |
DMRs Differentially methylated regions
Scientific advances concerning the epigenetic mechanisms underlying inflammation-related chronic diseases such as diabetes, cardiovascular diseases, cancer, and neurodegenerative disorders are providing a better understanding of the molecular bases for the implicated pathological processes, and the prediction of individual disease risk based on the epigenotype. Nevertheless, it is necessary to integrate this knowledge with other emerging factors influencing the susceptibility/resistance to inflammation including the genetic background, microbiota composition, and metabolomic profiles using systems biology and large-scale bioinformatics tools.
Also, the fact that diverse pathogens, including respiratory viruses, induce epigenome modifications to promote systemic infection, opens opportunities for the development of efficient medications for specific targets. This finding is of current relevance for emerging widespread viral infections such as SARS-CoV-2/COVID-19, with a common fatal inflammatory lung condition without current effective therapies or available vaccine. Moreover, the suppressive effect of obesity and other environmental mediators of the immune function also needs to be addressed.
Progress in the identification of epigenetically active dietary components and lifestyle factors will contribute to the design of therapeutic interventions alleviating persistent inflammation by targeting the epigenome. In this regard, dietary bioactive compounds (i.e. polyphenols), n-3 PUFA, and regular physical activity have demonstrated anti-inflammatory properties through epigenetic phenomena. Nevertheless, the heterogeneity of the existing literature and the scarcity of studies in humans makes it difficult to propose specific recommendations about the amounts of polyphenols and n-3PUFA consumptions as well as the type, intensity, or duration of exercise that could counteract inflammatory processes. However, current available knowledge highlights the importance of anti-inflammatory dietary and exercise patterns for health and evidence the need of performing more nutriepigenetic investigations through randomized controlled clinical trials in order to prescribe precision nutritional and lifestyle recommendations for specific population and diseased groups.
Although further scientific advances in these research areas are needed, these insights are paving the way for the design of innovative strategies aimed to the prevention, management, prognosis, and treatment of chronic inflammatory diseases through personalized approaches (including precision nutrition) based on inflammatory epigenetic signatures.
Conclusions
Obesogenic and health-damaging environments can drive persistent inflammation by modifying some specific epigenetic mechanisms and negatively impact the development of chronic inflammatory diseases. The prescription of nutritional therapies using epigenetically active nutrients and physical activities with anti-inflammatory properties may help to revert the adverse effects of chronic inflammation.
Acknowledgements
The support from CIBERobn, IMDEA-Food Institute, and the Government of Navarra is gratefully acknowledged.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflicts of interest.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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