Maternal Obesity, Inflammation, and Developmental Programming

Segovia, Stephanie A.; Vickers, Mark H.; Gray, Clint; Reynolds, Clare M.

doi:https://doi.org/10.1155/2014/418975

BioMed Research International

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Diseases of Pregnancy and Fetal Programming: Cell and Molecular Mechanisms

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Review Article | Open Access

Volume 2014 | Article ID 418975 | https://doi.org/10.1155/2014/418975

Maternal Obesity, Inflammation, and Developmental Programming

Stephanie A. Segovia,¹Mark H. Vickers,¹Clint Gray,¹and Clare M. Reynolds¹

Academic Editor: Luis Sobrevia

Received14 Mar 2014

Accepted30 Apr 2014

Published20 May 2014

Abstract

The prevalence of obesity, especially in women of child-bearing age, is a global health concern. In addition to increasing the immediate risk of gestational complications, there is accumulating evidence that maternal obesity also has long-term consequences for the offspring. The concept of developmental programming describes the process in which an environmental stimulus, including altered nutrition, during critical periods of development can program alterations in organogenesis, tissue development, and metabolism, predisposing offspring to obesity and metabolic and cardiovascular disorders in later life. Although the mechanisms underpinning programming of metabolic disorders remain poorly defined, it has become increasingly clear that low-grade inflammation is associated with obesity and its comorbidities. This review will discuss maternal metainflammation as a mediator of programming in insulin sensitive tissues in offspring. Use of nutritional anti-inflammatories in pregnancy including omega 3 fatty acids, resveratrol, curcumin, and taurine may provide beneficial intervention strategies to ameliorate maternal obesity-induced programming.

1. Introduction

The prevalence of obesity in both developed and developing countries has been steadily increasing over the past 40 years [1–3]. Consequently, obesity and its associated comorbidities are a significant concern, in terms of global public health and public health spending. Depending on the population, the prevalence of obesity (body mass index ≥ 30 kg/m²) in women of reproductive age can be as high as 34% [3]. Obesity during pregnancy is of major concern due to the well-characterized risk factors to both the mother and her offspring. These can include, but are not limited to, maternal and fetal death, preeclampsia, gestational diabetes, and congenital abnormalities [4]. In addition, epidemiological evidence and data derived from animal models have demonstrated that maternal obesity has long-term consequences for offspring, predisposing or “programming” them to the development of metabolic disease in adulthood [5]. It has become increasingly clear that metabolic disease is associated with a state of chronic low-grade inflammation [6]. Inflammation has received extensive attention recently because of its association with several diseases, including cancer, diabetes, and obesity—it is a tightly regulated process—deviations from this process present a significant health risk because unresolved inflammation can compromise tissue function. In human pregnancies, maternal obesity is associated with metabolic inflammation, characterized by elevated adipose tissue and systemic proinflammatory cytokine levels and adipose tissue macrophage accumulation [7, 8]. Additionally, these changes extend to the placenta, suggesting that maternal obesity exposes the fetus to an inflammatory environment during development [9]. Thus, in the context of developmental programming, early life exposure to metabolic inflammation may represent a key mechanism by which developmentally programmed phenotypes may manifest later in life. For example, in animal models, maternal obesity has been shown to induce fetal inflammation which can result in promotion of adipogenesis and increased adiposity in offspring [10]. The critical windows of innate immune vulnerability during prenatal and neonatal maturation are when developmental programming and the trajectory for childhood and adult inflammatory responses are largely established. Clearly, there is a need for targeted intervention strategies to ameliorate and reduce the adverse effects of maternal obesity on offspring health outcomes during later life. This review will discuss maternal obesity related inflammation as a mechanism of developmental programming of metabolic disorders in offspring and the potential of intervention strategies.

2. The Developmental Origins of Health and Disease

Barker first suggested that the fetal environment may have an effect on the development of disease in adulthood, known as the fetal origins of adult disease (FOAD) hypothesis [11]. Epidemiological evidence from UK birth records indicated a geographical correlation between high rates of infant mortality and adult ischaemic heart disease [12]. They hypothesized that maternal undernutrition resulted in fetal programming which caused permanent alterations in the structure, function, homeostatic pathways, and/or metabolism of the developing offspring, predisposing them to disease later in life. Since these initial observations, the concept has evolved into the developmental origins of health and disease (DOHaD) hypothesis, which describes the process by which an environmental stimulus, including altered nutrition, during a critical period of development can program alterations in organogenesis, tissue development, and metabolism, predisposing offspring to metabolic and cardiovascular dysfunction during adulthood [13–15]. These effects can be amplified in the setting of a poor postnatal diet [16].

In today’s society, maternal obesity is a more prevalent and emerging cause for concern. Considerable epidemiological evidence demonstrates that maternal obesity is a predictor for development of obesity, type 2 diabetes, and cardiovascular disease in offspring [17–19]. Mechanistic studies in human cohorts are challenging due to the number of potential postnatal confounders and the time course required for prospective studies and thus remain largely observational. Therefore, animal studies have become the primary tool for investigating the myriad of potential mechanisms underlying the developmental programming paradigm. Maternal obesity-induced developmental programming has been validated in mouse, rat, sheep, and nonhuman primate models and has been shown to affect numerous metabolic pathways culminating in a metabolic syndrome like phenotype [20–23].

There is an increasing body of evidence demonstrating the capability to ameliorate or reverse programming by targeted interventions during specific periods of developmental plasticity [24–26]. A particular focus has been on the adipokine leptin (a proinflammatory signal in adipose tissue) as a mediator of programmed changes in the regulation of appetite and metabolism. Obese individuals exhibit higher circulating levels of leptin, contributing to a state of leptin resistance, which further perpetuates obesity, inflammation, and metabolic disease [27]. Leptin levels are known to be elevated in pregnancies complicated with enhanced inflammatory processes in the placentae [9, 28]. Of note, maintenance of a critical leptin level during early development facilitates the normal maturation of tissues and signaling pathways involved in metabolic homeostasis. In rats, maternal undernutrition results in neonatal hypoleptinemia—leptin administration to these neonates reverses maternal undernutrition-induced metabolic programming in adult female offspring [29]. We have also shown that preweaning growth hormone treatment in a rat model of undernutrition reverses programmed hypertension, obesity, and inflammatory profiles in adult offspring [26, 30]. In rats, supplementation with docosahexaenoic acid (DHA) in the setting of maternal undernutrition has also been shown to protect offspring against later metabolic dysfunction [31], but data in the setting of maternal obesity are less clear. In rat models of protein restriction, dietary cofactors, including folate and glycine, have also been shown to reverse postnatal metabolic and cardiovascular abnormalities in offspring [32–34].

Taken together, these studies suggest that programming effects can be prevented by early intervention strategies. To date, the majority of developmental programming studies are primarily descriptive and the underlying mechanisms, particularly as regards the inflammasome, of how maternal obesity impacts upon early life development and subsequent adult disease phenotypes are not well understood. Elucidating the mechanisms of maternal obesity-induced developmental programming is of utmost importance and may allow for application of therapeutic and/or nutritional interventions to minimize adverse programming effects in offspring.

3. Adipose Tissue Dysfunction in Obesity

Historically, white adipose tissue (WAT) was viewed as an inert energy storage depot. However, it is now appreciated as a major endocrine organ which contributes to metabolic homeostasis. Adipose tissue is composed of not only multiple cell types, mainly adipocytes (fat cells), but also the stromal vascular fraction (SVF), which includes preadipocytes, fibroblasts, endothelial cells, and immune cells [35]. Adipose tissue secretes a broad range of bioactive factors, collectively referred to as adipokines [36]. Adipokines have a range of essential physiological roles, including adipocyte differentiation, glucose and lipid metabolism, satiety, immune regulation, cardiovascular function, and neuroendocrine function [37]. Aberrant regulation of adipokine secretion has been shown to mediate cross talk with other organs and contribute to the development of obesity-induced comorbidities such as insulin resistance and metabolic syndrome [38–40]. The complex adipokine profile is still not fully understood, with novel adipokines still being identified [41, 42]. Additionally, it is important to note that the study of adipose tissue dysfunction is confounded by the wide range of etiologies which include genetics, environment, and now early life stressors such as maternal obesity.

In healthy individuals, the adipose tissue is composed of mainly preadipocytes and adipocytes, with few inflammatory leukocytes. With obesity, the composition, phenotype, and function of adipose tissue are disrupted [43–45]. Persistent excess energy intake causes adipocytes to undergo hypertrophy (increased adipocyte volume) in attempt to meet the increased energy storage needs [46]. Adipocyte hypertrophy can contribute to further complications including hypoxia, adipocyte necrosis, chemokine secretion, and compromised regulation of fatty acid flux [47]. Hypertrophied cells alter the balance of adipose tissue-derived cytokines and adipokines to a proinflammatory state, acting as a critical factor linking obesity to the pathogenesis of metabolic disease in both mother and offspring [48, 49]. Inflammatory mediators, including C-reactive protein (CRP), interleukin-6 (IL-6), IL-1β, and tumour necrosis factor α (TNFα), are systemically elevated in obesity in animal and human models [50–52]. Additionally, as the adipose tissue expands, the blood supply becomes inadequate and hypoxia occurs [53]. This contributes to further cellular dysfunction in adipocytes, including downregulation of adiponectin mRNA expression and induction of endoplasmic reticulum stress, which can further exacerbate the inflammatory state [35, 53].

A hallmark of adipose tissue inflammation is the infiltration of immune cells including monocytes/macrophages, neutrophils, B lymphocytes, and T lymphocytes [54–56]. Macrophages are phagocytic cells, which act to engulf and digest pathogens and cellular debris. Adipose tissue macrophage infiltration has recently emerged as a major contributor of inflammatory mediators contributing to dysfunction in obesity after seminal publications by Xu et al. and Weisburg et al. in 2003. Xu et al. showed that macrophage-specific genes including monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1α (MIP-1α), CD11b, F4/80, and CD68 were upregulated in adipose tissue of diet-induced obese mice. Interestingly, this preceded development of hyperinsulinemia and treatment with the insulin sensitive drug rosiglitazone caused downregulation of these genes. Weisburg et al. analyzed the profile of 1304 body mass related transcripts, finding that 30% of the 100 most significantly correlated genes encoded genes which were characteristic of macrophages. Immunohistochemical analysis of multiple adipose depots showed a significant correlation between the percentage of F4/80 expression and adipocyte size and body mass. These results have since been corroborated in a number of studies [54, 57]. Surgical or diet-induced weight loss in obese individuals results in decreased MCP-1 gene expression and reductions in macrophage infiltration and inflammation [58, 59]. Additionally, macrophage activation appears to shift towards M2 (alternatively activated) over M1 (classically activated) status postgastric bypass surgery in morbidly obese individuals, contributing to a less inflammatory phenotype [60].

4. Metabolic Inflammation as a Programming Mechanism

Interest in the developmental origins of obesity and its associated metabolic sequelae has grown in recent years. There is evidence to support a number of potential mechanisms, including programming of offspring appetite, gene expression, and functional changes to adipose tissue [61]. These conditions are linked by the activation of a number of inflammatory pathways, including the NLR family, pyrin domain containing 3 (NLRP3) inflammasome, peroxisome proliferator-activated receptors (PPAR) signaling, and nuclear factor-κB (NF-κB) pathway [62–64].

Classical inflammation is the body’s process of responding to injury or infection to restore homeostasis [65]. However, in obesity, the inflammatory response, which has been coined “metainflammation,” is chronic and is on a lower scale than the typical classic inflammatory response. The persistent state of chronic low-grade inflammation induced by obesity is characterized by abnormal cytokine production, an altered adipokine profile, and activation of inflammatory pathways [6]. The role of chronic low-grade inflammation in obese mothers has become an emerging focus in the developmental programming field. Our group have demonstrated that unbalanced maternal nutrition results in metainflammation in the mother and programs inflammation in offspring tissues [30, 66, 67]. However, current understanding of how these pathways are activated in the context of developmental programming remains poorly defined. Of note, most studies have characterised the programmed offspring as adults when the phenotype is already manifested. There is now strong evidence that early changes in inflammatory markers can be predictors of later metabolic and cardiovascular disease; thus evaluation of offspring inflammatory profiles at early stages of development may provide a useful biomarker for later life metabolic adversity [68].

In rodents, maternal immune activation during pregnancy with an immunostimulant such as lipopolysaccharide (LPS) has been shown to modify the immune response of offspring [69, 70]. These offspring exhibit a more proinflammatory macrophage (M1) phenotype and enhanced IL-1β production upon immune challenge in adulthood. Similarly, a state of maternal obesity is linked to an enhanced inflammatory response in offspring. Challier et al. observed macrophage accumulation and increased expression of proinflammatory cytokine expression in placenta from obese women compared to those from lean women [9]. Infiltrating macrophages have the capability to secrete inflammatory cytokines into the maternal or fetal systemic circulation. It is speculated that this is a contributing mechanism for the programmed alterations in offspring metabolism associated with increased adiposity and insulin resistance. The placenta transports free fatty acids from the maternal circulation and transports them for uptake by the fetal liver, where they are esterified and released as triglycerides into the circulation [71]. This has implications for fetal growth in humans, where associations between increased maternal triglycerides and macrosomia (large for gestational age) in offspring have been reported [72]. Zhu et al. observed elevated free fatty acids, cholesterol, and triglycerides in fetal circulation from obese ewes which were accompanied by upregulation of toll-like receptor 4 (TLR4), NF-κB, and JNK signalling in cotyledonary tissue [73]. These findings suggest greater fatty acid uptake by the placenta, which can cause activation of inflammatory pathways in the placenta. Therefore, the state of chronic low-grade inflammation in pregravid obesity persists in pregnancy and contributes to an inflammatory environment for the developing fetus.

5. Programmed Effects of Maternal Obesity on Metabolic Function in Offspring

In animal models of diet-induced obesity, high fat feeding during pregnancy programs features of the metabolic syndrome, independent of environmental factors and postnatal diet [74, 75]. In humans, a high BMI before pregnancy and during early pregnancy is predictive for having a high birth weight baby, with these babies being at higher risk of developing the features of metabolic syndrome [76, 77]. In contrast, maternal obesity is also found to be associated with an increased incidence of intrauterine growth restriction (IUGR) in humans, with supporting evidence from animal work, underscoring the complexity of the maternal obesity paradigm [78, 79]. Our group and the work of others have shown that rodent models provide strong evidence for tissue specific impairments in offspring from obese mothers [80–84]. Impairments to metabolically critical or insulin sensitive tissues, especially adipose tissue, pancreas, liver, and skeletal muscle, may have profound effects on the development of insulin resistance and type 2 diabetes in offspring.

5.1. Adipose Tissue

Adipogenesis is the process of the development of stem cell precursors into adipocytes and largely occurs during the late gestation and early postnatal life in humans [85]. This process is sensitive to in utero conditions, such as a deficient or excess nutrient supply. Turnover of adipose cells in adulthood is low, with adipocyte number leveling off in adulthood [86]. This underscores the importance of the in utero environment and early postnatal life in a predisposition to adult onset of obesity. Perturbation of adipogenesis, and therefore the development of the adipose tissue as a whole, can alter its functional metabolic properties. Maternal obesity can promote excess accumulation of body fat in offspring and predispose them to obesity during later life.

In a mouse model of maternal diet-induced obesity, 3-month-old offspring from obese dams exhibited adipocyte hypertrophy, reduced mRNA expression of β2- and β3-adrenoreceptors, and increased mRNA expression of PPAR-γ2, a key mediator of adipogenesis [21]. In a similar model in rats, offspring displayed increased adiposity in later life despite a normal birth weight, as well as a high percentage of large adipocytes in concomitance with enhanced PPAR-γ expression [20]. In sheep models, maternal overnutrition during the late gestational period programmed increased mRNA expression of PPAR-γ, lipoprotein lipase (LPL), adiponectin, and leptin in fetal perirenal fat [87]. These findings suggest maternal overnutrition and subsequent obesity may increase the lipogenic capacity of adipose tissue, promoting a shift from a thermogenic to lipid storage function, which could be a contributing cause of increased adiposity in offspring. While an increased fat mass in offspring may be acting as a compensatory mechanism to promote lipid storage rather than ectopic fat deposition, excessive adiposity causes aberrant inflammatory cytokine and adipokine regulation of the tissue and subsequently a metabolic syndrome-like phenotype. A recent study in mice by Murabayashi et al. demonstrated that offspring of mothers exposed to a high fat diet displayed increases in expression of TNFα, CD68, and MCP-1 and decreased GLUT4 mRNA expression, suggesting that maternal obesity may affect fetal insulin sensitivity by altering inflammatory processes [88].

5.2. Liver

In humans, the liver is the most metabolically complex organ, playing pivotal roles in whole body metabolism including regulation of glucose homeostasis, lipogenesis, detoxification, protein metabolism, cholesterol production, and bile production [89]. WAT is critical for storage of excess lipids, but in humans WAT development does not occur until the third trimester of pregnancy [90]. Therefore, it is postulated that maternal obesity results in excess exposure of the fetal liver to triglycerides, lipids, adipokines, and other factors, causing alterations in gene expression which upregulate lipogenesis and downregulate lipolysis, contributing to hepatic lipid accumulation and inflammation. In a number of animal models, maternal overnutrition is found to elevate triglyceride levels, increase inflammatory markers, and cause fatty livers in offspring [21, 91, 92]. Although the etiology of liver disease can vary, nonalcoholic fatty liver disease (NAFLD) linked to obesity and metabolic syndrome is currently one of the most common causes of adult chronic liver disease [93]. NAFLD refers to a progressive range of stages of pathologies caused by fat buildup within hepatocytes—simple fatty liver, nonalcoholic steatohepatitis (NASH), fibrosis, and cirrhosis [89]. In humans, NASH is associated with increased gene expression of inflammatory factors both locally in the liver and systemically [94, 95].

McCurdy et al. demonstrated the programming effects in response to a maternal high fat diet in nonhuman primates [23]. Interestingly, not all mothers receiving the high fat diet developed obesity and insulin resistance. However, when examined during the early third trimester of gestation, all offspring of high fat fed mothers demonstrated signs of NAFLD such as hepatic inflammation, triglyceride accumulation, and premature gluconeogenic gene activation. Elevated triglyceride levels were also observed in P30 and P180 offspring, and in addition, offspring had a 2-fold increase in body fat percentage. Collectively, these observations suggest that consumption of a chronic high fat diet can independently increase risk of offspring developing NAFLD. Similar results have been replicated in mice fed high fat diets during gestation and lactation. Increased fat depot weight, increased serum insulin, triglycerides, proinflammatory cytokines, and hepatic IκB kinase phosphorylation were observed [96, 97]. In offspring of mice fed a high fat diet during only gestation (G), only lactation (L), or both (GL), hepatic steatosis was observed [98]. Expression of sterol regulatory element-binding protein-lc (SREBP-1c) expression was higher in G and GL offspring, indicating a stimulation of lipogenic gene transcription and fatty acid synthesis. Expression of GLUT-2 was reduced in G offspring, indicating impaired carbohydrate metabolism.

5.3. Skeletal Muscle

Comprising about 40–50% of body mass, skeletal muscle is the chief peripheral insulin responsive tissue, responsible for glucose and fatty acid uptake in response to insulin. Similar to adipose tissue, skeletal muscle displays enhanced inflammation in response to high fat feeding, including increases in proinflammatory macrophages and inflammatory gene expression [99, 100]. Chronic inflammation also occurs in insulin resistant skeletal muscle, displayed by increased macrophage infiltration and increased inflammatory cytokines [101, 102].

Alterations to the development of skeletal muscle can have physiological consequences for the offspring. Proper skeletal muscle development in the fetal period is of critical importance as there is no net increase in muscle fibre number after birth [103]. Skeletal muscle is also sensitive to an adverse in utero environment during development as it has a lower priority in nutrient partitioning compared to other organs including the brain, heart, and liver [104]. Additionally, changes to adipogenesis in the fetal skeletal muscle can induce increased number and size of intramuscular adipocytes, which can act in a paracrine fashion to contribute to insulin resistance later in life [64, 105].

In dams fed a cafeteria diet (palatable processed food with high fat and high sugar) during gestation lactation, offspring displayed increased adiposity at weaning, reduced muscle cross-sectional area, fewer muscle fibres, muscle atrophy, and fibre hypoplasia [106]. Functional impairments to muscle included intramuscular fat deposition and preferential fat accretion in muscle fibres. This was accompanied by an increase in muscle PPAR-γ expression, which was suggested as a compensatory response to maintain insulin sensitivity.

Work by Du et al. showed that maternal obesity resulted in low-grade inflammation which altered the commitment of mesenchymal stem cells in fetal muscle through mechanisms including inhibition of AMP-activated protein kinase (which promotes adipogenesis) and inflammation-induced epigenetic modifications via polycomb group proteins [107]. In the offspring of high fat fed ewes Akt phosphorylation (the main downstream insulin signalling pathway) and insulin receptor mRNA expression were reduced [64]. Additionally, inflammation was observed in skeletal muscle with upregulation of TLR2 and TLR4 expression, NF-κB pathway (IKK phosphorylation), JNK pathway, and increased TNFα expression.

6. Anti-Inflammatory Strategies to Reverse Programming

Despite the evidence demonstrating maternal obesity and effects of inflammation in offspring, knowledge on the effectiveness of anti-inflammatory agents during pregnancy is minimal. Although health care professionals highly recommend weight loss to reduce the risk factors associated with obesity during pregnancy, women are likely to maintain prepregnancy lifestyle habits throughout pregnancy. Therefore, this avenue is of utmost importance as rates of obesity continue to increase and the long-term effects negative to offspring become more apparent.

6.1. Omega 3 Fatty Acids: Eicosapentaenoic Acid (EPA) and Docosahexaenoic Acid (DHA)

Polyunsaturated fatty acids (PUFAs) are a group of lipids which can modulate the immune system, alter the regulation of pro- and anti-inflammatory cells, and affect transcriptional regulation [108]. The two main families of PUFAs are omega 6 (n-6; linoleic acid (LA)) and omega 3 (n-3; alpha linolenic acid (ALA), eicosapentanoic acid (EPA), and docosahexanoic acid (DHA)) fatty acids [109]. EPA and DHA are highly associated with brain function [110]. In general, eicosanoids derived from n-6 PUFAs are more proinflammatory and immunoactive; eicosanoids derived from n-3 PUFAs are therefore considered more anti-inflammatory [108]. PPARs, a group of nuclear receptor proteins that act as transcription factors and are responsible for regulating the expression of genes involved in adipogenesis, inflammation, and lipid metabolism, can be activated by a diverse range of ligands, including omega 3 and 6 fatty acids [111]. The Western diet, which has also become increasingly predominant in developing countries, contains a significantly higher proportion of n-6 PUFA compared to n-3 PUFA [112]. Associations between low n-3 PUFA intake and increases in the incidence of obesity, cardiovascular disease, inflammatory diseases, and cancer have been an area of active research [113]. EPA and DHA have an antiobesogenic effect and can both reduce existing adiposity and prevent high fat induced obesity [114, 115]. The n-3 PUFAs have been documented to exert anti-inflammatory effects in the context of obesity by modulating adipose tissue, skeletal muscle, and hepatic function [116]. In vitro, EPA stimulates glucose and fatty acid uptake in skeletal muscle cells by increasing expression of the transporters GLUT1 and CD36/FAT (fatty acid translocase) and increasing glucose oxidation [117]. In the adipose tissue of obese rats, n-3 PUFA modulates the secretion profile of adipokines and cytokines, decreasing secretion of proinflammatory cytokines including TNFα and IL-6 and reducing MCP-1 levels and adipose tissue macrophage infiltration, contributing to anti-inflammatory and insulin sensitizing effects [118]. Upon high fat feeding in rats, n-3 PUFAs increase fatty acid oxidation and inhibit lipogenesis in the liver, causing fatty acids to be preferentially oxidized rather than being stored [119]. The PPAR signalling pathway is implicated as a mechanism for the insulin sensitizing effects of EPA [120]. Neschen et al. conducted a study in which wildtype mice and PPAR-α knockout mice were fed an isocaloric high fat diet with or without additional fish oil [121]. Within wildtype mice, the fish oil supplemented group had improved hepatic insulin sensitivity. These effects were not seen within PPAR-α knockout mice, suggesting the insulin sensitizing effects are attributed to PPAR signalling. Despite the strong support of improvements by EPA and DHA to obesity and related insulin resistance in animal models, results in human clinical trials have been less consistent, as human trials are complicated by composition of n-3 PUFAs used, dosage, duration of administration, dietary and lifestyle habits, and other confounders [122]. Furthermore, the amnion, which surrounds the developing embryo, is sensitive to inflammatory modulation by EPA and DHA, likely partially mediated by PPAR-γ [123]. Explants treated with EPA, DHA, or a mixture had reduced IL-8 and IL-6 concentrations compared to untreated controls. When treated with a PPAR-γ agonist, IL-8 secretion was significantly decreased, yet this effect was partially reversed when treated with a PPAR-γ antagonist. Short-term supplementation with pioglitazone, an insulin sensitizing agent that stimulates PPAR-γ, to offspring from obese mothers attenuated the programmed obesity and insulin resistance associated with maternal obesity [124]. A study by Heerwagen et al., using Fat-1 transgenic mice (capable of converting endogenous n-6 PUFA to n-3 PUFA), demonstrated the potential to reduce inflammation associated with diet-induced obesity and improve metabolic outcomes in offspring [125]. Fat-1 mice were protected from adverse effects of a high fat diet, including adipose tissue macrophage accumulation and systemic increases in TNFα, IL-1β, IL-6, and MCP-1. Although there were no observed changes in inflammatory markers in the placenta, fetuses from high fat diet mothers showed minor growth restriction compared to mothers on a control diet, which has also been previously reported [79]. Additionally, although high fat fed mothers did not display hyperlipidemia when measured in late pregnancy, their offspring had increased lipid deposition in the fetal liver, which was reduced in offspring from Fat-1 high fat diet mothers. This underscores that birth weight may not be an accurate measure of fetal health, but rather other measures (e.g., hepatic lipid accumulation) may be more accurate. Adult wildtype male offspring from Fat-1 high fat diet mothers displayed less adiposity, hepatic lipid accumulation, adipose tissue macrophages, and insulin resistance, compared to offspring from high fat mothers. Collectively, these findings suggest that targeting inflammatory processes involved in maternal overnutrition and obesity may be beneficial in reversing or mitigating harmful programming effects on offspring in later life.

6.2. Resveratrol

Resveratrol is a stilbenoid (natural phenol) and phytoalexin naturally produced by some plants, such as Japanese knotweed and the skin of red grapes [126]. Resveratrol gained significant interest when it was proposed to be responsible for the beneficial cardiovascular effects of red wine, described as the French paradox [127]. Subsequent studies have shown resveratrol to have a multitude of health benefits, including cancer chemopreventive, antioxidant, antiplatelet, and estrogen modulatory and caloric restriction mimetic activities [128–131]. Resveratrol increases the expression of sirtuin 1 (SIRT1), a nicotinamide adenine dinucleotide (NAD+)-dependent deacetylase [132]. SIRT1 has been shown to modulate genes which regulate a number of biological processes including cell proliferation, apoptosis, gluconeogenesis, lipolysis, adipogenesis, and inflammation [133–136]. Resveratrol treatment results in activation of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) by SIRT1, which prevents development of diet-induced obesity and insulin resistance [137]. Resveratrol has been shown to attenuate TNFα induced MCP-1 gene expression and secretion in a dose-dependent manner in 3T3-L1 adipocytes [138]. These effects were not observed when adipocytes were treated with a NF-κB inhibitor prior to resveratrol exposure, suggesting this effect was mediated by NF-κB.

Resveratrol’s antidiabetic activity, including improving insulin sensitivity and decreasing glucose, dyslipidemia, and adiposity, has been well documented in diet-induced and genetic diabetic animal models [139, 140]. Resveratrol’s antidiabetic activity is at least partially mediated by AMP-activated protein kinase (AMPK), which is involved in regulating mitochondrial biogenesis, inducing fatty acid oxidation in the liver and muscle, increasing muscle glucose uptake, and inhibiting lipogenic activity, collectively resulting in increased insulin sensitivity [141]. In mice deficient in either the a1 or a2 catalytic subunit of AMPK, resveratrol does not significantly affect insulin sensitivity or glucose tolerance, implicating AMPK as a mechanism for resveratrol’s effects [142]. Long-term intracerebrovascular infusion in high fat fed obese/diabetic mice has been shown to normalize hyperglycemia and improve hypoinsulinemia associated with NF-κB activation [143]. These effects were independent of changes to body weight and food intake, suggesting a potential role of the central nervous system in resveratrol’s antidiabetic activity.

The hypoglycemic effects of resveratrol are critical in avoiding diabetic neuropathies and damaging effects to organs. A consequence of diabetes during pregnancy is diabetic embryopathy, which is associated with oxidative stress and can disrupt normal organogenesis [144]. Embryos from diabetic dams had increased apoptosis and oxidative stress markers, but resveratrol administration to diabetic dams during pregnancy protected against these effects and also improved measures of embryonic development including weight, crown rump length, and somite number [145].

In rats, doses of up to 750 mg/kg/d during gestation did not result in fetal abnormalities or have adverse effects on placenta weight or litter size [146]. A recent study conducted by Roberts et al. assessed the role of resveratrol supplementation during pregnancy in nonhuman primates. Mothers were fed a Western-style diet (36% fat) with or without resveratrol supplementation. Resveratrol improved placental inflammatory markers (IL-1β and macrophage migration inhibitory factor), maternal and fetal hepatic triglyceride accumulation, uterine blood flow, and insulin sensitivity [147]. Resveratrol was detected in maternal plasma, demonstrating an ability to cross the placental barrier and exert effects on the fetus. Although resveratrol supplementation did not alter fetal body mass, there was a 42% increase in pancreas mass in the fetus, which was confirmed by immunohistochemistry. Furthermore, resveratrol was shown to increase uterine artery blood flow thereby increasing fetal weight in a murine model of fetal growth restriction [148]. There is also evidence that resveratrol improves the metabolic profile of offspring born growth restricted by reversing Akt mediated insulin resistance in liver and skeletal muscle [149]. Taken together, these findings suggest that resveratrol may improve the maternal and offspring metabolic profile in maternal overnutrition, obesity, and diabetic pregnancies. However, as the consequences of resveratrol treatment have significant effects on parameters such as pancreatic mass in offspring with unknown long-term effects, further studies in humans to determine adequate and safe therapeutic dosage and routes and frequency of administration are required.

6.3. Curcumin

Curcumin is a polyphenol responsible for the yellow pigment present in turmeric. Its use in traditional medicine is well known, but research now supports anti-inflammatory, antidiabetic, antioxidant, chemopreventive, and cardiovascular protective properties [150, 151]. Curcumin is pleiotropic, with the ability to interact with various targets and exert its effects through several mechanisms of action. Curcumin has been shown to reduce the inflammatory response through NF-κB, suppressing its activation by inhibiting IκKα kinase (IKK) activation [152, 153]. Curcumin decreases inflammation by acting as an agonist of PPAR-γ. In a rodent model of sepsis, intravenous administration of curcumin resulted in downregulation of TNFα and decreased markers of tissue damage. Administration of a PPAR-γ antagonist reversed these effects, confirming the decreased inflammation to be mediated via PPAR-γ [154]. Studies have also shown that curcumin may have beneficial anti-inflammatory effects for treatment of postoperative inflammation, acute respiratory distress syndrome, and inflammatory bowel disease [155–157]. In mouse models of obesity-induced insulin resistance, oral administration of curcumin has beneficial effects on the inflammatory response and decreased insulin sensitivity associated with high fat feeding [158, 159]. Increased adiponectin, decreased TNFα and MCP-1, reduced macrophage infiltration, attenuation of NF-κB activation, and inhibition of lipogenic gene expression were also observed.

Although studies of the use of curcumin in pregnancy are lacking, its safety in humans has been demonstrated, with doses of up to 12 g/day being well tolerated and having low toxicity [160–162]. In a two-generation reproductive toxicity study in Wistar rats, there was no observed adverse effect level on reproductive performance in two successive generations, even in high doses of 10000 ppm (equivalent to 847.4 mg/kg body weight in F0 males) [163]. However, in vitro exposure of curcumin to mouse blastocysts during the early postimplantation stages had adverse effects in a dose-dependent manner [164]. Administration of pegylated curcumin (increased solubility) in mice had negative effects to reproductive functions, attributed to estrogen-mimicking or androgen-antagonizing properties [165]. These discrepancies are likely attributed variations in the route of administration. Curcumin is lipophilic and oral administration involves digestion, absorption, and metabolism in the liver, therefore reducing bioavailability at the target organ. Direct administration of curcumin in vitro does not accurately reflect physiologic conditions.

However the anti-inflammatory effects of curcumin have been shown to reverse ethanol-induced cognitive impairments in rat offspring by dampening NF-κB signalling and proinflammatory cytokine expression [166]. There is further evidence to suggest that the anti-inflammatory properties of curcumin may have cardioprotective effects in cardiac progenitor cells [167] and augment lung maturation in fetal rats via blockade of TGF-β [168]. Therefore, curcumin appears to be an effective anti-inflammatory strategy in the context of obesity; despite its safety, optimal therapeutic dose and benefits in the context of obesity during pregnancy have yet to be validated in vivo in animals and humans.

6.4. Taurine

Taurine is a nonessential sulfated amino acid with a range of physiological benefits in heart function, hypertension, neuromodulation of the central nervous system, and retina function [169, 170]. Taurine is found in high amounts in mammalian plasma and cells, with a particularly high concentration in human neutrophils, where it can react with myeloperoxidase and form taurine chloramine (TauCl), which has reported anti-inflammatory effects [171]. In inflammatory conditions, taurine has been shown to decrease inflammation by downregulating NF-κB [172, 173]. TauCl has been shown to oxidize IκB-α, preventing the activation of NF-κB [174].

In a human double-blind placebo controlled study, obese individuals had 41% lower plasma taurine levels compared to matched controls at baseline [175]. Eight weeks of taurine supplementation improved inflammation indices, increasing adiponectin and decreasing CRP in obese individuals. In 14 weeks of high fat feeding in mice, treatment with taurine prevented weight gain and hyperglycemia and resulted in decreased TNFα and IL-10 [176]. Additionally, taurine reduced macrophage infiltration and promoted shift in macrophages to an M2-like phenotype in the adipose tissue.

In models of gestational protein restriction in rodents, supplementation of taurine had protective effects on the programmed impairments to the pancreas, liver, and skeletal muscle associated with protein restriction [177–179]. Additionally, taurine was shown to normalize the changes in gene expression associated with protein restriction [177–179]. However, in the context of obesity, less is known of taurine’s effect on developmental programming. A study by Li et al. showed conflicting results of taurine supplementation as a potential strategy to reverse maternal obesity-induced developmental programming effects on offspring [67]. Dams were fed an obesogenic diet (high fat: high fructose diet), which led to increased weight, hyperglycemia, insulin resistance, hepatic steatosis, and systemic inflammation. Taurine supplementation attenuated systemic inflammation, yet exacerbated impairments to lipid metabolism and inflammatory markers in the liver. In contrast, the neonates of taurine supplemented obesogenic diet dams demonstrated normalization of the detrimental hepatic proinflammatory effects of maternal obesogenic diet. In control pregnancies, taurine increased neonatal mortality and resulted in significantly lower birth weights in female pup birth weight. Although taurine supplementation did have beneficial effects in reversing programming in some conditions, further investigation is required to elucidate mechanisms of how taurine functions in the context of maternal obesity.

7. Other Avenues for Intervention

There is also accumulating support for the role of epigenetic regulation of gene expression as a mediator of the programming of adult-onset metabolic disease. Epigenetic regulation describes stable and heritable DNA alterations that do not involve DNA mutation including DNA methylation, posttranslational histone modifications, and chromatin remodeling [180]. Understanding how these epigenetic changes alter the postnatal phenotype could allow identification of biomarkers to enable early detection of children at risk of developing adult disease from developmental programming.

A cross-sectional study in healthy pregnant women found a positive correlation between maternal BMI and the degree of PGC-1α (peroxisome proliferator-activated receptor gamma coactivator 1-alpha) methylation in the umbilical cord of offspring, highlighting a potential role of DNA methylation as a mediator for the programming effects of maternal obesity [181]. Maternal obesity has been shown to induce epigenetic modifications in offspring. For example, offspring from obese mice have enhanced expression of Zfp423, accompanied by reduced methylation in the Zfp423 promoter [182]. Zfp423 is a transcription factor that plays roles in cell commitment to the adipogenic lineage; therefore these changes are likely to contribute to enhanced adipogenic differentiation during fetal development and predisposition to obesity. In a multigenerational mouse model, Ding et al. found that high fat feeding caused a “feed-forward cycle” exacerbating adipose tissue inflammatory processes via DNA hypomethylation, resulting in epigenetic changes to expression of Tlr1 and Tlr2 [183]. Maternal supplementation with methyl donors has been shown to protect offspring against the adverse effects of a maternal obesogenic diet, but whether these changes are mediated in part by alterations in inflammatory profiles is not known [184, 185]. DNA methyltransferase (DNMT3b) plays an important role in regulation of macrophage polarization through epigenetic processes. In obesity, elevations in saturated fatty acids increase DNMT3b expression, leading to DNA methylation at the PPAR-γ1 promoter; this may contribute to deregulated adipose tissue macrophage polarisation, inflammation, and insulin resistance [186]. Collectively, these studies demonstrate the potential of epigenetic regulation as another target for intervention to prevent or treat maternal obesity programming effects.

8. Discussion and Conclusion

In recent years, understanding of the developmental programming effects of maternal obesity on offspring metabolic health has expanded. However, deciphering the complex interactions and mechanistic pathways involved in the process still remains a challenge. Studies range in duration, model of obesity (cafeteria diet, high fat, and high salt/high fat), and stage of development of the intervention (i.e., periconception, gestation, lactation, and weaning). The maternal-fetal obesity paradigm is extremely complex, with factors related to overnutrition, obesity, and inflammatory processes likely impacting the development of the fetus. Additionally, a majority of studies investigating the programming effects of maternal obesity observe more pronounced impairments in male offspring, and it is not well understood why these sex-specific differences occur. Nutritional intervention remains a promising therapeutic target to minimize complications to fetal development in a poor maternal environment. However, it is unclear whether these compounds are beneficial by directly affecting offspring, or rather improving the metabolic profile in the mother. However, what is clear is that weight loss and specific dietary interventions such as decreased intake of saturated fat in women who intend to become pregnant are the most effective and safe way to improve metabolic outcomes for offspring. In conclusion, evidence from animal and clinical studies provides strong evidence for the developmental origins of obesity and metabolic disorders. Intervention strategies to ameliorate the negative outcomes of maternal obesity on offspring are greatly needed as they present an easy cost effective way of decreasing potential noncommunicable disease risk for future generations to come.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The authors acknowledge funding support from the Health Research Council of New Zealand, the Auckland Medical Research Foundation, Lottery Health Research, Marsden Fund of the Royal Society of New Zealand, and Gravida: National Centre for Growth and Development.

References

N. Heslehurst, L. J. Ells, H. Simpson, A. Batterham, J. Wilkinson, and C. D. Summerbell, “Trends in maternal obesity incidence rates, demographic predictors, and health inequalities in 36,821 women over a 15-year period,” BJOG, vol. 114, no. 2, pp. 187–194, 2007.
View at: Publisher Site | Google Scholar
N. Heslehurst, N. Sattar, D. Rajasingam, J. Wilkinson, C. D. Summerbell, and J. Rankin, “Existing maternal obesity guidelines may increase inequalities between ethnic groups: a national epidemiological study of 502,474 births in England,” BMC Pregnancy & Childbirth, vol. 12, no. 1, article 156, 2012.
View at: Google Scholar
K. M. Flegal, M. D. Carroll, C. L. Ogden, and L. R. Curtin, “Prevalence and trends in obesity among US adults, 1999–2008,” Journal of the American Medical Association, vol. 303, no. 3, pp. 235–241, 2010.
View at: Publisher Site | Google Scholar
P. M. Catalano and H. M. Ehrenberg, “The short- and long-term implications of maternal obesity on the mother and her offspring,” BJOG, vol. 113, no. 10, pp. 1126–1133, 2006.
View at: Publisher Site | Google Scholar
M. Z. Alfaradhi and S. E. Ozanne, “Developmental programming in response to maternal overnutrition,” Frontiers in Genetics, vol. 2, article 27, 2011.
View at: Publisher Site | Google Scholar
G. S. Hotamisligil, “Inflammation and metabolic disorders,” Nature, vol. 444, no. 7121, pp. 860–867, 2006.
View at: Publisher Site | Google Scholar
S. Basu, M. Haghiac, P. Surace et al., “Pregravid obesity associates with increased maternal endotoxemia and metabolic inflammation,” Obesity, vol. 19, no. 3, pp. 476–482, 2011.
View at: Publisher Site | Google Scholar
J. C. Madan, J. M. Davis, W. Y. Craig et al., “Maternal obesity and markers of inflammation in pregnancy,” Cytokine, vol. 47, no. 1, pp. 61–64, 2009.
View at: Publisher Site | Google Scholar
J. C. Challier, S. Basu, T. Bintein et al., “Obesity in pregnancy stimulates macrophage accumulation and inflammation in the placenta,” Placenta, vol. 29, no. 3, pp. 274–281, 2008.
View at: Publisher Site | Google Scholar
X. Yan, J. F. Tong, M. J. Zhu, S. P. Ford, P. W. Nathanielsz, and M. Du, “Maternal obesity induces inflammation and adipogenesis in late gestation fetal sheep muscle,” Diabetes, vol. 58, pp. A85–A85, 2009.
View at: Google Scholar
D. J. P. Barker, “In utero programming of chronic disease,” Clinical Science, vol. 95, no. 2, pp. 115–128, 1998.
View at: Publisher Site | Google Scholar
D. J. P. Barker and C. Osmond, “Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales,” The Lancet, vol. 1, no. 8489, pp. 1077–1081, 1986.
View at: Google Scholar
D. J. Barker, “The developmental origins of adult disease,” Journal of the American College of Nutrition, vol. 23, supplement 6, pp. 588S–595S, 2004.
View at: Publisher Site | Google Scholar
H. A. de Boo and J. E. Harding, “The developmental origins of adult disease (Barker) hypothesis,” Australian and New Zealand Journal of Obstetrics and Gynaecology, vol. 46, no. 1, pp. 4–14, 2006.
View at: Publisher Site | Google Scholar
P. D. Gluckman, M. A. Hanson, and A. S. Beedle, “Early life events and their consequences for later disease: a life history and evolutionary perspective,” American Journal of Human Biology, vol. 19, no. 1, pp. 1–19, 2007.
View at: Publisher Site | Google Scholar
M. H. Vickers, B. H. Breier, W. S. Cutfield, P. L. Hofman, and P. D. Gluckman, “Fetal origins of hyperphagia, obesity, and hypertension and postnatal amplification by hypercaloric nutrition,” American Journal of Physiology: Endocrinology and Metabolism, vol. 279, no. 1, pp. E83–E87, 2000.
View at: Google Scholar
R. C. Whitaker, J. A. Wright, M. S. Pepe, K. D. Seidel, and W. H. Dietz, “Predicting obesity in young adulthood from childhood and parental obesity,” The New England Journal of Medicine, vol. 337, no. 13, pp. 869–873, 1997.
View at: Publisher Site | Google Scholar
P. M. Catalano, L. Presley, J. Minium, and S. H.-D. Mouzon, “Fetuses of obese mothers develop insulin resistance in utero,” Diabetes Care, vol. 32, no. 6, pp. 1076–1080, 2009.
View at: Publisher Site | Google Scholar
I. Labayen, J. R. Ruiz, F. B. Ortega et al., “Intergenerational cardiovascular disease risk factors involve both maternal and paternal BMI,” Diabetes Care, vol. 33, no. 4, pp. 894–900, 2010.
View at: Publisher Site | Google Scholar
K. Shankar, A. Harrell, X. Liu, J. M. Gilchrist, M. J. J. Ronis, and T. M. Badger, “Maternal obesity at conception programs obesity in the offspring,” American Journal of Physiology: Regulatory Integrative and Comparative Physiology, vol. 294, no. 2, pp. R528–R538, 2008.
View at: Publisher Site | Google Scholar
A.-M. Samuelsson, P. A. Matthews, M. Argenton et al., “Diet-induced obesity in female mice leads to offspring hyperphagia, adiposity, hypertension, and insulin resistance: a novel murine model of developmental programming,” Hypertension, vol. 51, no. 2, pp. 383–392, 2008.
View at: Publisher Site | Google Scholar
J. Wang, H. Ma, C. Tong et al., “Overnutrition and maternal obesity in sheep pregnancy alter the JNK-IRS-1 signaling cascades and cardiac function in the fetal heart,” FASEB Journal, vol. 24, no. 6, pp. 2066–2076, 2010.
View at: Publisher Site | Google Scholar
C. E. McCurdy, J. M. Bishop, S. M. Williams et al., “Maternal high-fat diet triggers lipotoxicity in the fetal livers of nonhuman primates,” Journal of Clinical Investigation, vol. 119, no. 2, pp. 323–335, 2009.
View at: Publisher Site | Google Scholar
E. Zambrano, P. M. Martínez-Samayoa, G. L. Rodríguez-González, and P. W. Nathanielsz, “Dietary intervention prior to pregnancy reverses metabolic programming in male offspring of obese rats,” Journal of Physiology, vol. 588, part 10, pp. 1791–1799, 2010.
View at: Publisher Site | Google Scholar
I. Bringhenti, A. Schultz, T. Rachid, M. A. Bomfim, C. A. Mandarim-de-Lacerda, and M. B. Aguila, “An early fish oil-enriched diet reverses biochemical, liver and adipose tissue alterations in male offspring from maternal protein restriction in mice,” The Journal of Nutritional Biochemistry, vol. 22, no. 11, pp. 1009–1014, 2011.
View at: Publisher Site | Google Scholar
C. Gray, M. Li, C. M. Reynolds, and M. H. Vickers, “Pre-weaning growth hormone treatment reverses hypertension and endothelial dysfunction in adult male offspring of mothers undernourished during pregnancy,” PLoS ONE, vol. 8, no. 1, Article ID e53505, 2013.
View at: Google Scholar
Y. Zhang and P. J. Scarpace, “The role of leptin in leptin resistance and obesity,” Physiology and Behavior, vol. 88, no. 3, pp. 249–256, 2006.
View at: Publisher Site | Google Scholar
I. Hendler, S. C. Blackwell, S. H. Mehta et al., “The levels of leptin, adiponectin, and resistin in normal weight, overweight, and obese pregnant women with and without preeclampsia,” American Journal of Obstetrics and Gynecology, vol. 193, no. 3, pp. 979–983, 2005.
View at: Publisher Site | Google Scholar
M. H. Vickers, P. D. Gluckman, A. H. Coveny et al., “Neonatal leptin treatment reverses developmental programming,” Endocrinology, vol. 146, no. 10, pp. 4211–4216, 2005.
View at: Publisher Site | Google Scholar
C. M. Reynolds, M. Li, C. Gray, and M. H. Vickers, “Pre-weaning growth hormone treatment ameliorates bone marrow macrophage inflammation in adult male rat offspring following maternal undernutrition,” PLoS ONE, vol. 8, no. 7, Article ID e68262, 2013.
View at: Google Scholar
H. N. Bagley, Y. Wang, M. S. Campbell, X. Yu, R. H. Lane, and L. A. Joss-Moore, “Maternal docosahexaenoic acid increases adiponectin and normalizes IUGR-induced changes in rat adipose deposition,” Journal of Obesity, vol. 2013, Article ID 312153, 7 pages, 2013.
View at: Publisher Site | Google Scholar
K. A. Lillycrop, E. S. Phillips, A. A. Jackson, M. A. Hanson, and G. C. Burdge, “Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring,” Journal of Nutrition, vol. 135, no. 6, pp. 1382–1386, 2005.
View at: Google Scholar
C. Torrens, L. Brawley, F. W. Anthony et al., “Folate supplementation during pregnancy improves offspring cardiovascular dysfunction induced by protein restriction,” Hypertension, vol. 47, no. 5, pp. 982–987, 2006.
View at: Publisher Site | Google Scholar
L. Brawley, C. Torrens, F. W. Anthony et al., “Glycine rectifies vascular dysfunction induced by dietary protein imbalance during pregnancy,” Journal of Physiology, vol. 554, part 2, pp. 497–504, 2004.
View at: Publisher Site | Google Scholar
P. Trayhurn and I. S. Wood, “Adipokines: inflammation and the pleiotropic role of white adipose tissue,” British Journal of Nutrition, vol. 92, no. 3, pp. 347–355, 2004.
View at: Publisher Site | Google Scholar
N. Ouchi, S. Kihara, T. Funahashi, Y. Matsuzawa, and K. Walsh, “Obesity, adiponectin and vascular inflammatory disease,” Current Opinion in Lipidology, vol. 14, no. 6, pp. 561–566, 2003.
View at: Publisher Site | Google Scholar
O. Gualillo, J. R. González-Juanatey, and F. Lago, “The emerging role of adipokines as mediators of cardiovascular function: physiologic and clinical perspectives,” Trends in Cardiovascular Medicine, vol. 17, no. 8, pp. 275–283, 2007.
View at: Publisher Site | Google Scholar
L. Bahia, L. G. Aguiar, N. Villela et al., “Relationship between adipokines, inflammation, and vascular reactivity in lean controls and obese subjects with metabolic syndrome,” Clinics, vol. 61, no. 5, pp. 433–440, 2006.
View at: Publisher Site | Google Scholar
J. M. Lee, S. R. Kim, S. J. Yoo, O. K. Hong, H. S. Son, and S.-A. Chang, “The relationship between adipokines, metabolic parameters and insulin resistance in patients with metabolic syndrome and type 2 diabetes,” Journal of International Medical Research, vol. 37, no. 6, pp. 1803–1812, 2009.
View at: Publisher Site | Google Scholar
H. Sell, D. Dietze-Schroeder, U. Kaiser, and J. Eckel, “Monocyte chemotactic protein-1 is a potential player in the negative cross-talk between adipose tissue and skeletal muscle,” Endocrinology, vol. 147, no. 5, pp. 2458–2467, 2006.
View at: Publisher Site | Google Scholar
D. Lamers, S. Famulla, N. Wronkowitz et al., “Dipeptidyl peptidase 4 is a novel adipokine potentially linking obesity to the metabolic syndrome,” Diabetes, vol. 60, no. 7, pp. 1917–1925, 2011.
View at: Publisher Site | Google Scholar
Z. Wei, J. M. Peterson, X. Lei et al., “C1q/TNF-related protein-12 (CTRP12), a novel adipokine that improves insulin sensitivity and glycemic control in mouse models of obesity and diabetes,” The Journal of Biological Chemistry, vol. 287, no. 13, pp. 10301–10315, 2012.
View at: Publisher Site | Google Scholar
P. A. Kern, S. Ranganathan, C. Li, L. Wood, and G. Ranganathan, “Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance,” American Journal of Physiology: Endocrinology and Metabolism, vol. 280, no. 5, pp. E745–E751, 2001.
View at: Google Scholar
S. P. Weisberg, D. McCann, M. Desai, M. Rosenbaum, R. L. Leibel, and A. W. Ferrante Jr., “Obesity is associated with macrophage accumulation in adipose tissue,” Journal of Clinical Investigation, vol. 112, no. 12, pp. 1796–1808, 2003.
View at: Publisher Site | Google Scholar
C. N. Lumeng, J. L. Bodzin, and A. R. Saltiel, “Obesity induces a phenotypic switch in adipose tissue macrophage polarization,” Journal of Clinical Investigation, vol. 117, no. 1, pp. 175–184, 2007.
View at: Publisher Site | Google Scholar
L. B. Salans, S. W. Cushman, and R. E. Weismann, “Studies of human adipose tissue. Adipose cell size and number in nonobese and obese patients,” Journal of Clinical Investigation, vol. 52, no. 4, pp. 929–941, 1973.
View at: Publisher Site | Google Scholar
K. Sun, C. M. Kusminski, and P. E. Scherer, “Adipose tissue remodeling and obesity,” Journal of Clinical Investigation, vol. 121, no. 6, pp. 2094–2101, 2011.
View at: Publisher Site | Google Scholar
G. S. Hotamisligil, N. S. Shargill, and B. M. Spiegelman, “Adipose expression of tumor necrosis factor-α: direct role in obesity-linked insulin resistance,” Science, vol. 259, no. 5091, pp. 87–91, 1993.
View at: Publisher Site | Google Scholar
T. Skurk, C. Alberti-Huber, C. Herder, and H. Hauner, “Relationship between adipocyte size and adipokine expression and secretion,” Journal of Clinical Endocrinology and Metabolism, vol. 92, no. 3, pp. 1023–1033, 2007.
View at: Publisher Site | Google Scholar
H. Xu, G. T. Barnes, Q. Yang et al., “Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance,” Journal of Clinical Investigation, vol. 112, no. 12, pp. 1821–1830, 2003.
View at: Publisher Site | Google Scholar
M. Gnacińska, S. Małgorzewicz, W. Łysiak-Szydłowska, and K. Sworczak, “The serum profile of adipokines in overweight patients with metabolic syndrome,” Endokrynologia Polska, vol. 61, no. 1, pp. 36–41, 2010.
View at: Google Scholar
E. Maury, K. Ehala-Aleksejev, Y. Guiot, R. Detry, A. Vandenhooft, and S. M. Brichard, “Adipokines oversecreted by omental adipose tissue in human obesity,” American Journal of Physiology: Endocrinology and Metabolism, vol. 293, no. 3, pp. E656–E665, 2007.
View at: Publisher Site | Google Scholar
N. Hosogai, A. Fukuhara, K. Oshima et al., “Adipose tissue hypoxia in obesity and its impact on adipocytokine dysregulation,” Diabetes, vol. 56, no. 4, pp. 901–911, 2007.
View at: Publisher Site | Google Scholar
H. Kanda, S. Tateya, Y. Tamori et al., “MCP-1 contributes to macrophage infiltration into adipose tissue, insulin resistance, and hepatic steatosis in obesity,” Journal of Clinical Investigation, vol. 116, no. 6, pp. 1494–1505, 2006.
View at: Publisher Site | Google Scholar
V. Elgazar-Carmon, A. Rudich, N. Hadad, and R. Levy, “Neutrophils transiently infiltrate intra-abdominal fat early in the course of high-fat feeding,” Journal of Lipid Research, vol. 49, no. 9, pp. 1894–1903, 2008.
View at: Publisher Site | Google Scholar
U. Kintscher, M. Hartge, K. Hess et al., “T-lymphocyte infiltration in visceral adipose tissue: a primary event in adipose tissue inflammation and the development of obesity-mediated insulin resistance,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 28, no. 7, pp. 1304–1310, 2008.
View at: Publisher Site | Google Scholar
D. Y. Oh, H. Morinaga, S. Talukdar, E. J. Bae, and J. M. Olefsky, “Increased macrophage migration into adipose tissue in obese mice,” Diabetes, vol. 61, no. 2, pp. 346–354, 2012.
View at: Publisher Site | Google Scholar
R. Cancello, C. Henegar, N. Viguerie et al., “Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss,” Diabetes, vol. 54, no. 8, pp. 2277–2286, 2005.
View at: Publisher Site | Google Scholar
K. Clément, N. Viguerie, C. Poitou et al., “Weight loss regulates inflammation-related genes in white adipose tissue of obese subjects,” FASEB Journal, vol. 18, no. 14, pp. 1657–1669, 2004.
View at: Publisher Site | Google Scholar
J. Aron-Wisnewsky, J. Tordjman, C. Poitou et al., “Human adipose tissue macrophages: M1 and M2 cell surface markers in subcutaneous and omental depots and after weight loss,” Journal of Clinical Endocrinology and Metabolism, vol. 94, no. 11, pp. 4619–4623, 2009.
View at: Publisher Site | Google Scholar
J. L. Tarry-Adkins and S. E. Ozanne, “Mechanisms of early life programming: current knowledge and future directions,” American Journal of Clinical Nutrition, vol. 94, supplement 6, pp. 1765S–1771S, 2011.
View at: Publisher Site | Google Scholar
R. Stienstra, J. A. van Diepen, C. J. Tack et al., “Inflammasome is a central player in the induction of obesity and insulin resistance,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 37, pp. 15324–15329, 2011.
View at: Publisher Site | Google Scholar
Y. Barak, M. C. Nelson, E. S. Ong et al., “PPARγ is required for placental, cardiac, and adipose tissue development,” Molecular Cell, vol. 4, no. 4, pp. 585–595, 1999.
View at: Publisher Site | Google Scholar
X. Yan, M. J. Zhu, W. Xu et al., “Up-regulation of toll-like receptor 4/nuclear factor-κB signaling is associated with enhanced adipogenesis and insulin resistance in fetal skeletal muscle of obese sheep at late gestation,” Endocrinology, vol. 151, no. 1, pp. 380–387, 2010.
View at: Publisher Site | Google Scholar
G. L. Larsen and P. M. Henson, “Mediators of inflammation,” Annual Review of Immunology, vol. 1, pp. 335–359, 1983.
View at: Google Scholar
G. J. Howie, D. M. Sloboda, C. M. Reynolds, and M. H. Vickers, “Timing of maternal exposure to a high fat diet and development of obesity and hyperinsulinemia in male rat offspring: same metabolic phenotype, different developmental pathways?” Journal of Nutrition and Metabolism, vol. 2013, Article ID 517384, 11 pages, 2013.
View at: Publisher Site | Google Scholar
M. Li, C. M. Reynolds, D. M. Sloboda, C. Gray, and M. H. Vickers, “Effects of taurine supplementation on hepatic markers of inflammation and lipid metabolism in mothers and offspring in the setting of maternal obesity,” PLoS ONE, vol. 8, no. 10, Article ID e76961, 2013.
View at: Google Scholar
P. Dandona, A. Aljada, and A. Bandyopadhyay, “Inflammation: the link between insulin resistance, obesity and diabetes,” Trends in Immunology, vol. 25, no. 1, pp. 4–7, 2004.
View at: Publisher Site | Google Scholar
C. E. Onore, J. J. Schwartzer, M. Careaga, R. F. Berman, and P. Ashwood, “Maternal immune activation leads to activated inflammatory macrophages in offspring,” Brain, Behavior, and Immunity, vol. 38, pp. 220–226, 2014.
View at: Publisher Site | Google Scholar
T. B. Kirsten, L. L. Lippi, E. Bevilacqua, and M. M. Bernardi, “LPS exposure increases maternal corticosterone levels, causes placental injury and increases IL-1Beta levels in adult rat offspring: relevance to autism,” PLoS ONE, vol. 8, no. 12, Article ID e82244, 2013.
View at: Google Scholar
W. T. Schaiff, F. F. Knapp Jr., Y. Barak, T. Biron-Shental, D. M. Nelson, and Y. Sadovsky, “Ligand-activated peroxisome proliferator activated receptor γ alters placental morphology and placental fatty acid uptake in mice,” Endocrinology, vol. 148, no. 8, pp. 3625–3634, 2007.
View at: Publisher Site | Google Scholar
M. Kitajima, S. Oka, I. Yasuhi, M. Fukuda, Y. Rii, and T. Ishimaru, “Maternal serum triglyceride at 24–32 weeks' gestation and newborn weight in nondiabetic women with positive diabetic screens,” Obstetrics and Gynecology, vol. 97, no. 5, part 1, pp. 776–780, 2001.
View at: Publisher Site | Google Scholar
M. J. Zhu, M. Du, P. W. Nathanielsz, and S. P. Ford, “Maternal obesity up-regulates inflammatory signaling pathways and enhances cytokine expression in the mid-gestation sheep placenta,” Placenta, vol. 31, no. 5, pp. 387–391, 2010.
View at: Publisher Site | Google Scholar
K. Chechi and S. K. Cheema, “Maternal diet rich in saturated fats has deleterious effects on plasma lipids of mice,” Experimental and Clinical Cardiology, vol. 11, no. 2, pp. 129–135, 2006.
View at: Google Scholar
G. J. Howie, D. M. Sloboda, T. Kamal, and M. H. Vickers, “Maternal nutritional history predicts obesity in adult offspring independent of postnatal diet,” Journal of Physiology, vol. 587, part 4, pp. 905–915, 2009.
View at: Publisher Site | Google Scholar
C. M. Boney, A. Verma, R. Tucker, and B. R. Vohr, “Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus,” Pediatrics, vol. 115, no. 3, pp. e290–e296, 2005.
View at: Publisher Site | Google Scholar
T. Harder, E. Rodekamp, K. Schellong, J. W. Dudenhausen, and A. Plagemann, “Birth weight and subsequent risk of type 2 diabetes: a meta-analysis,” American Journal of Epidemiology, vol. 165, no. 8, pp. 849–857, 2007.
View at: Publisher Site | Google Scholar
L. Radulescu, O. Munteanu, F. Popa, and M. Cirstoiu, “The implications and consequences of maternal obesity on fetal intrauterine growth restriction,” Journal of Medicine and Life, vol. 6, no. 3, pp. 292–298, 2013.
View at: Google Scholar
K. M. Luzzo, Q. Wang, S. H. Purcell et al., “High fat diet induced developmental defects in the mouse: oocyte meiotic aneuploidy and fetal growth retardation/brain defects,” PLoS ONE, vol. 7, no. 11, Article ID e49217, 2012.
View at: Publisher Site | Google Scholar
S. D. Bilbo and V. Tsang, “Enduring consequences of maternal obesity for brain inflammation and behavior of offspring,” FASEB Journal, vol. 24, no. 6, pp. 2104–2115, 2010.
View at: Publisher Site | Google Scholar
X. Yan, Y. Huang, H. Wang et al., “Maternal obesity induces sustained inflammation in both fetal and offspring large intestine of sheep,” Inflammatory Bowel Diseases, vol. 17, no. 7, pp. 1513–1522, 2011.
View at: Publisher Site | Google Scholar
J. E. Ramsay, W. R. Ferrell, L. Crawford, A. M. Wallace, I. A. Greer, and N. Sattar, “Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways,” Journal of Clinical Endocrinology and Metabolism, vol. 87, no. 9, pp. 4231–4237, 2002.
View at: Publisher Site | Google Scholar
J. Han, J. Xu, P. N. Epstein, and Y. Q. Liu, “Long-term effect of maternal obesity on pancreatic beta cells of offspring: reduced beta cell adaptation to high glucose and high-fat diet challenges in adult female mouse offspring,” Diabetologia, vol. 48, no. 9, pp. 1810–1818, 2005.
View at: Publisher Site | Google Scholar
M. Li, D. M. Sloboda, and M. H. Vickers, “Maternal obesity and developmental programming of metabolic disorders in offspring: evidence from animal models,” Experimental Diabetes Research, vol. 2011, Article ID 592408, 9 pages, 2011.
View at: Publisher Site | Google Scholar
G. Ailhaud, P. Grimaldi, and R. Négrel, “Cellular and molecular aspects of adipose tissue development,” Annual Review of Nutrition, vol. 12, pp. 207–233, 1992.
View at: Publisher Site | Google Scholar
K. L. Spalding, E. Arner, P. O. Westermark et al., “Dynamics of fat cell turnover in humans,” Nature, vol. 453, no. 7196, pp. 783–787, 2008.
View at: Publisher Site | Google Scholar
B. S. Muhlhausler, J. A. Duffield, and I. C. McMillen, “Increased maternal nutrition stimulates peroxisome proliferator activated receptor-γ, adiponectin, and leptin messenger ribonucleic acid expression in adipose tissue before birth,” Endocrinology, vol. 148, no. 2, pp. 878–885, 2007.
View at: Publisher Site | Google Scholar
N. Murabayashi, T. Sugiyama, L. Zhang et al., “Maternal high-fat diets cause insulin resistance through inflammatory changes in fetal adipose tissue,” European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 169, no. 1, pp. 39–44, 2013.
View at: Publisher Site | Google Scholar
M. S. Stewart, M. J. Heerwagen, and J. E. Friedman, “Developmental programming of pediatric nonalcoholic fatty liver disease: redefining the “first hit”,” Clinical Obstetrics and Gynecology, vol. 56, no. 3, pp. 577–590, 2013.
View at: Publisher Site | Google Scholar
M. E. Symonds, A. Mostyn, S. Pearce, H. Budge, and T. Stephenson, “Endocrine and nutritional regulation of fetal adipose tissue development,” Journal of Endocrinology, vol. 179, no. 3, pp. 293–299, 2003.
View at: Publisher Site | Google Scholar
J. A. Oben, A. Mouralidarane, A.-M. Samuelsson et al., “Maternal obesity during pregnancy and lactation programs the development of offspring non-alcoholic fatty liver disease in mice,” Journal of Hepatology, vol. 52, no. 6, pp. 913–920, 2010.
View at: Publisher Site | Google Scholar
M. G. Pruis, A. Lendvai, V. W. Bloks et al., “Maternal western diet primes non-alcoholic fatty liver disease in adult mouse offspring,” Acta Physiologica, vol. 210, no. 1, pp. 215–227, 2014.
View at: Publisher Site | Google Scholar
Z. M. Younossi, M. Stepanova, M. Afendy et al., “Changes in the prevalence of the most common causes of chronic liver diseases in the united states from 1988 to 2008,” Clinical Gastroenterology and Hepatology, vol. 9, no. 6, pp. 524.e1–530.e1, 2011.
View at: Publisher Site | Google Scholar
S. Coulon, S. Francque, I. Colle et al., “Evaluation of inflammatory and angiogenic factors in patients with non-alcoholic fatty liver disease,” Cytokine, vol. 59, no. 2, pp. 442–449, 2012.
View at: Publisher Site | Google Scholar
P. Nigam, S. P. Bhatt, A. Misra, M. Vaidya, J. Dasgupta, and D. S. Chadha, “Non-alcoholic fatty liver disease is closely associated with sub-clinical inflammation: a case-control study on Asian Indians in North India,” PLoS ONE, vol. 8, no. 1, Article ID e49286, 2013.
View at: Google Scholar
E. J. Park, J. H. Lee, G.-Y. Yu et al., “Dietary and genetic obesity promote liver inflammation and tumorigenesis by enhancing IL-6 and TNF expression,” Cell, vol. 140, no. 2, pp. 197–208, 2010.
View at: Publisher Site | Google Scholar
N. G. Ashino, K. N. Saito, F. D. Souza et al., “Maternal high-fat feeding through pregnancy and lactation predisposes mouse offspring to molecular insulin resistance and fatty liver,” The Journal of Nutritional Biochemistry, vol. 23, no. 4, pp. 341–348, 2012.
View at: Publisher Site | Google Scholar
B. M. Gregorio, V. Souza-Mello, J. J. Carvalho, C. A. Mandarim-De-Lacerda, and M. B. Aguila, “Maternal high-fat intake predisposes nonalcoholic fatty liver disease in C57BL/6 offspring,” American Journal of Obstetrics and Gynecology, vol. 203, no. 5, pp. 495.e1–495.e8, 2010.
View at: Publisher Site | Google Scholar
L. N. Fink, S. R. Costford, Y. S. Lee et al., “Pro-Inflammatory macrophages increase in skeletal muscle of high fat-fed mice and correlate with metabolic risk markers in humans,” Obesity, vol. 22, no. 3, pp. 747–757, 2014.
View at: Publisher Site | Google Scholar
J. M. Tishinsky, A. A. de Boer, D. J. Dyck, and L. E. Robinson, “Modulation of visceral fat adipokine secretion by dietary fatty acids and ensuing changes in skeletal muscle inflammation,” Applied Physiology Nutrition and Metabolism, vol. 39, no. 1, pp. 28–37, 2014.
View at: Publisher Site | Google Scholar
Y. Wei, K. Chen, A. T. Whaley-Connell, C. S. Stump, J. A. Ibdah, and J. R. Sowers, “Skeletal muscle insulin resistance: role of inflammatory cytokines and reactive oxygen species,” American Journal of Physiology: Regulatory Integrative and Comparative Physiology, vol. 294, no. 3, pp. R673–R680, 2008.
View at: Publisher Site | Google Scholar
E. Zoico, A. Rossi, V. di Francesco et al., “Adipose tissue infiltration in skeletal muscle of healthy elderly men: relationships with body composition, insulin resistance, and inflammation at the systemic and tissue level,” Journals of Gerontology A: Biological Sciences and Medical Sciences, vol. 65, no. 3, pp. 295–299, 2010.
View at: Publisher Site | Google Scholar
P. M. Nissen, V. O. Danielsen, P. F. Jorgensen, and N. Oksbjerg, “Increased maternal nutrition of sows has no beneficial effects on muscle fiber number or postnatal growth and has no impact on the meat quality of the offspring,” Journal of Animal Science, vol. 81, no. 12, pp. 3018–3027, 2003.
View at: Google Scholar
M. J. Zhu, S. P. Ford, W. J. Means, B. W. Hess, P. W. Nathanielsz, and M. Du, “Maternal nutrient restriction affects properties of skeletal muscle in offspring,” Journal of Physiology, vol. 575, part 1, pp. 241–250, 2006.
View at: Publisher Site | Google Scholar
P. Aguiari, S. Leo, B. Zavan et al., “High glucose induces adipogenic differentiation of muscle-derived stem cells,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 4, pp. 1226–1231, 2008.
View at: Publisher Site | Google Scholar
S. A. Bayol, B. H. Simbi, and N. C. Stickland, “A maternal cafeteria diet during gestation and lactation promotes adiposity and impairs skeletal muscle development and metabolism in rat offspring at weaning,” Journal of Physiology, vol. 567, part 3, pp. 951–961, 2005.
View at: Publisher Site | Google Scholar
M. Du, X. Yan, J. F. Tong, J. Zhao, and M. J. Zhu, “Maternal obesity, inflammation, and fetal skeletal muscle development,” Biology of Reproduction, vol. 82, no. 1, pp. 4–12, 2010.
View at: Publisher Site | Google Scholar
P. C. Calder, “n-3 polyunsaturated fatty acids, inflammation, and inflammatory diseases,” American Journal of Clinical Nutrition, vol. 83, supplement 6, pp. 1505S–1519S, 2006.
View at: Google Scholar
G. C. Burdge and P. C. Calder, “Conversion of α-linolenic acid to longer-chain polyunsaturated fatty acids in human adults,” Reproduction Nutrition Development, vol. 45, no. 5, pp. 581–597, 2005.
View at: Publisher Site | Google Scholar
S. M. Innis, “Dietary (n-3) fatty acids and brain development,” Journal of Nutrition, vol. 137, no. 4, pp. 855–859, 2007.
View at: Google Scholar
B. Grygiel-Gorniak, “Peroxisome proliferator-activated receptors and their ligands: nutritional and clinical implications—a review,” Nutrition Journal, vol. 13, no. 1, article 17, 2014.
View at: Google Scholar
A. P. Simopoulos, “The importance of the ratio of omega-6/omega-3 essential fatty acids,” Biomedicine and Pharmacotherapy, vol. 56, no. 8, pp. 365–379, 2002.
View at: Publisher Site | Google Scholar
L. Hooper, R. L. Thompson, R. A. Harrison et al., “Risks and benefits of omega 3 fats for mortality, cardiovascular disease, and cancer: systematic review,” British Medical Journal, vol. 332, no. 7544, pp. 752–755, 2006.
View at: Publisher Site | Google Scholar
C. Couet, J. Delarue, P. Ritz, J. M. Antoine, and F. Lamisse, “Effect of dietary fish oil on body fat mass and basal fat oxidation in healthy adults,” International Journal of Obesity and Related Metabolic Disorders, vol. 21, no. 8, pp. 637–643, 1997.
View at: Publisher Site | Google Scholar
N. S. Kalupahana, K. Claycombe, S. J. Newman et al., “Eicosapentaenoic acid prevents and reverses insulin resistance in high-fat diet-induced obese mice via modulation of adipose tissue inflammation,” Journal of Nutrition, vol. 140, no. 11, pp. 1915–1922, 2010.
View at: Publisher Site | Google Scholar
E. Oliver, F. C. McGillicuddy, K. A. Harford et al., “Docosahexaenoic acid attenuates macrophage-induced inflammation and improves insulin sensitivity in adipocytes-specific differential effects between LC n-3 PUFA,” The Journal of Nutritional Biochemistry, vol. 23, no. 9, pp. 1192–1200, 2011.
View at: Publisher Site | Google Scholar
V. Aas, M. H. Rokling-Andersen, E. T. Kase, G. H. Thoresen, and A. C. Rustan, “Eicosapentaenoic acid (20:5 n-3) increases fatty acid and glucose uptake in cultured human skeletal muscle cells,” Journal of Lipid Research, vol. 47, no. 2, pp. 366–374, 2006.
View at: Publisher Site | Google Scholar
N. Pérez-Echarri, P. Pérez-Matute, B. Marcos-Gómez et al., “Differential inflammatory status in rats susceptible or resistant to diet-induced obesity: effects of EPA ethyl ester treatment,” European Journal of Nutrition, vol. 47, no. 7, pp. 380–386, 2008.
View at: Publisher Site | Google Scholar
A. Ferramosca, A. Conte, L. Burri et al., “A krill oil supplemented diet suppresses hepatic steatosis in high-fat fed rats,” PLoS ONE, vol. 7, no. 6, Article ID e38797, 2012.
View at: Google Scholar
E. Draper, C. M. Reynolds, M. Canavan, K. H. Mills, C. E. Loscher, and H. M. Roche, “Omega-3 fatty acids attenuate dendritic cell function via NF-κB independent of PPARγ,” The Journal of Nutritional Biochemistry, vol. 22, no. 8, pp. 784–790, 2011.
View at: Publisher Site | Google Scholar
S. Neschen, K. Morino, J. Dong et al., “n-3 fatty acids preserve insulin sensitivity in vivo in a peroxisome proliferator-activated receptor-α-dependent manner,” Diabetes, vol. 56, no. 4, pp. 1034–1041, 2007.
View at: Publisher Site | Google Scholar
M. Kratz, J. N. Kuzma, D. K. Hagman et al., “n3 PUFAs do not affect adipose tissue inflammation in overweight to moderately obese men and women,” Journal of Nutrition, vol. 143, no. 8, pp. 1340–1347, 2013.
View at: Publisher Site | Google Scholar
L. Frew, N. U. Sugiarto, S. P. Rajagopal et al., “The effect of omega-3 polyunsaturated fatty acids on the inflammatory response of the amnion,” Prostaglandins Leukot Essent Fatty Acids, vol. 89, no. 4, pp. 221–225, 2013.
View at: Publisher Site | Google Scholar
A. Kalanderian, N. Abate, I. Patrikeev et al., “Pioglitazone therapy in mouse offspring exposed to maternal obesity,” American Journal of Obstetrics & Gynecology, vol. 208, no. 4, pp. 308.e1–308.e7, 2013.
View at: Google Scholar
M. J. Heerwagen, M. S. Stewart, B. A. de la Houssaye, R. C. Janssen, and J. E. Friedman, “Transgenic increase in N-3/n-6 fatty acid ratio reduces maternal obesity-associated inflammation and limits adverse developmental programming in mice,” PLoS ONE, vol. 8, no. 6, Article ID e67791, 2013.
View at: Google Scholar
E. H. Siemann and L. L. Creasy, “Concentration of the phytoalexin resveratrol in wine,” American Journal of Enology and Viticulture, vol. 43, no. 1, pp. 49–52, 1992.
View at: Google Scholar
S. Renaud and M. de Lorgeril, “Wine, alcohol, platelets, and the French paradox for coronary heart disease,” The Lancet, vol. 339, no. 8808, pp. 1523–1526, 1992.
View at: Publisher Site | Google Scholar
S.-J. Lin, P.-A. Defossez, and L. Guarente, “Requirement of NAD and SIR2 for life-span extension by calorie restriction in saccharomyces cerevisiae,” Science, vol. 289, no. 5487, pp. 2126–2128, 2000.
View at: Publisher Site | Google Scholar
L. Frémont, “Minireview: biological effects of resveratrol,” Life Sciences, vol. 66, no. 8, pp. 663–673, 2000.
View at: Publisher Site | Google Scholar
Y. Yang, X. Wang, L. Zhang, H. An, and Z. Zao, “Inhibitory effects of resveratrol on platelet activation induced by thromboxane A₂ receptor agonist in human platelets,” American Journal of Chinese Medicine, vol. 39, no. 1, pp. 145–159, 2011.
View at: Publisher Site | Google Scholar
M. C. Saleh, B. J. Connell, and T. M. Saleh, “Resveratrol induced neuroprotection is mediated via both estrogen receptor subtypes, ER alpha, and ER beta,” Neuroscience Letters, vol. 548, pp. 217–221, 2013.
View at: Publisher Site | Google Scholar
K. T. Howitz, K. J. Bitterman, H. Y. Cohen et al., “Small molecule activators of sirtuins extend Saccharomyces cerevisiae lifespan,” Nature, vol. 425, no. 6954, pp. 191–196, 2003.
View at: Publisher Site | Google Scholar
S. Banerjee, C. Bueso-Ramos, and B. B. Aggarwal, “Suppression of 7,12-dimethylbenz(a)anthracene-induced mammary carcinogenesis in rats by resveratrol: role of nuclear factor-κB, cyclooxygenase 2, and matrix metalloprotease 9,” Cancer Research, vol. 62, no. 17, pp. 4945–4954, 2002.
View at: Google Scholar
F. Pellegatta, A. A. E. Bertelli, B. Staels, C. Duhem, A. Fulgenzi, and M. E. Ferrero, “Different short- and long-term effects of resveratrol on nuclear factor-κB phosphorylation and nuclear appearance in human endothelial cells,” American Journal of Clinical Nutrition, vol. 77, no. 5, pp. 1220–1228, 2003.
View at: Google Scholar
F. Picard, M. Kurtev, N. Chung et al., “Sirt1 promotes fat mobilization in white adipocytes by repressing PPAR-γ,” Nature, vol. 429, no. 6993, pp. 771–776, Erratum in “Sirt1 promotes fat mobilization in white adipocytes by repressing PPAR-γ”, Nature, vol. 430, no. 7002, p. 921, 2004.
View at: Google Scholar
S. Ulrich, S. M. Loitsch, O. Rau et al., “Peroxisome proliferator-activated receptor γ as a molecular target of resveratrol-induced modulation of polyamine metabolism,” Cancer Research, vol. 66, no. 14, pp. 7348–7354, 2006.
View at: Publisher Site | Google Scholar
M. Lagouge, C. Argmann, Z. Gerhart-Hines et al., “Resveratrol improves mitochondrial function and protects against metabolic disease by activating SIRT1 and PGC-1alpha,” Cell, vol. 127, no. 6, pp. 1109–1122, 2006.
View at: Publisher Site | Google Scholar
J. Zhu, W. Yong, X. Wu et al., “Anti-inflammatory effect of resveratrol on TNF-α-induced MCP-1 expression in adipocytes,” Biochemical and Biophysical Research Communications, vol. 369, no. 2, pp. 471–477, 2008.
View at: Publisher Site | Google Scholar
P. Palsamy and S. Subramanian, “Resveratrol, a natural phytoalexin, normalizes hyperglycemia in streptozotocin-nicotinamide induced experimental diabetic rats,” Biomedicine and Pharmacotherapy, vol. 62, no. 9, pp. 598–605, 2008.
View at: Publisher Site | Google Scholar
S. Sharma, C. S. Misra, S. Arumugam et al., “Antidiabetic activity of resveratrol, a known SIRT1 activator in a genetic model for type-2 diabetes,” Phytotherapy Research, vol. 25, no. 1, pp. 67–73, 2011.
View at: Publisher Site | Google Scholar
J. A. Baur, K. J. Pearson, N. L. Price et al., “Resveratrol improves health and survival of mice on a high-calorie diet,” Nature, vol. 444, no. 7117, pp. 337–342, 2006.
View at: Publisher Site | Google Scholar
J.-H. Um, S.-J. Park, H. Kang et al., “AMP-activated protein kinase-deficient mice are resistant to the metabolic effects of resveratrol,” Diabetes, vol. 59, no. 3, pp. 554–563, 2010.
View at: Publisher Site | Google Scholar
G. Ramadori, L. Gautron, T. Fujikawa, C. R. Vianna, J. K. Elmquist, and R. Coppari, “Central administration of resveratrol improves diet-induced diabetes,” Endocrinology, vol. 150, no. 12, pp. 5326–5333, 2009.
View at: Publisher Site | Google Scholar
A. Ornoy, “Embryonic oxidative stress as a mechanism of teratogenesis with special emphasis on diabetic embryopathy,” Reproductive Toxicology, vol. 24, no. 1, pp. 31–41, 2007.
View at: Publisher Site | Google Scholar
C. K. Singh, A. Kumar, D. B. Hitchcock et al., “Resveratrol prevents embryonic oxidative stress and apoptosis associated with diabetic embryopathy and improves glucose and lipid profile of diabetic dam,” Molecular Nutrition and Food Research, vol. 55, no. 8, pp. 1186–1196, 2011.
View at: Publisher Site | Google Scholar
L. D. Williams, G. A. Burdock, J. A. Edwards, M. Beck, and J. Bausch, “Safety studies conducted on high-purity trans-resveratrol in experimental animals,” Food and Chemical Toxicology, vol. 47, no. 9, pp. 2170–2182, 2009.
View at: Publisher Site | Google Scholar
V. H. Roberts, L. D. Pound, S. R. Thorn et al., “Beneficial and cautionary outcomes of resveratrol supplementation in pregnant nonhuman primates,” FASEB Journal, 2014.
View at: Publisher Site | Google Scholar
R. Poudel, J. L. Stanley, C. F. Rueda-Clausen et al., “Effects of resveratrol in pregnancy using murine models with reduced blood supply to the uterus,” PLoS ONE, vol. 8, no. 5, Article ID e64401, 2013.
View at: Publisher Site | Google Scholar
V. W. Dolinsky, C. F. Rueda-Clausen, J. S. Morton, S. T. Davidge, and J. R. B. Dyck, “Continued postnatal administration of resveratrol prevents diet-induced metabolic syndrome in rat offspring born growth restricted,” Diabetes, vol. 60, no. 9, pp. 2274–2284, 2011.
View at: Publisher Site | Google Scholar
S. Singh and A. Khar, “Biological effects of curcumin and its role in cancer chemoprevention and therapy,” Anti-Cancer Agents in Medicinal Chemistry, vol. 6, no. 3, pp. 259–270, 2006.
View at: Publisher Site | Google Scholar
B. Joe, M. Vijaykumar, and B. R. Lokesh, “Biological properties of curcumin-cellular and molecular mechanisms of action,” Critical Reviews in Food Science and Nutrition, vol. 44, no. 2, pp. 97–111, 2004.
View at: Publisher Site | Google Scholar
S. Singh and B. B. Aggarwal, “Activation of transcription factor NF-kappa B is suppressed by curcumin (diferuloylmethane) [corrected],” The Journal of Biological Chemistry, vol. 270, no. 42, pp. 24995–25000, 1995.
View at: Publisher Site | Google Scholar
C. Jobin, C. A. Bradham, M. P. Russo et al., “Curcumin blocks cytokine-mediated NF-κB activation and proinflammatory gene expression by inhibiting inhibitory factor I-κB kinase activity,” Journal of Immunology, vol. 163, no. 6, pp. 3474–3483, 1999.
View at: Google Scholar
A. Jacob, R. Wu, M. Zhou, and P. Wang, “Mechanism of the anti-inflammatory effect of curcumin: PPAR-γ activation,” PPAR Research, vol. 2007, Article ID 89369, 5 pages, 2007.
View at: Publisher Site | Google Scholar
C.-H. Yeh, T.-P. Chen, Y.-C. Wu, Y.-M. Lin, and P. J. Lin, “Inhibition of NFκB activation with curcumin attenuates plasma inflammatory cytokines surge and cardiomyocytic apoptosis following cardiac ischemia/reperfusion,” Journal of Surgical Research, vol. 125, no. 1, pp. 109–116, 2005.
View at: Publisher Site | Google Scholar
S. Avasarala, F. Zhang, G. Liu, R. Wang, S. D. London, and L. London, “Curcumin modulates the inflammatory response and inhibits subsequent fibrosis in a mouse model of viral-induced acute respiratory distress syndrome,” PLoS ONE, vol. 8, no. 2, Article ID e57285, 2013.
View at: Google Scholar
P. R. Holt, S. Katz, and R. Kirshoff, “Curcumin therapy in inflammatory bowel disease: a pilot study,” Digestive Diseases and Sciences, vol. 50, no. 11, pp. 2191–2193, 2005.
View at: Publisher Site | Google Scholar
S. P. Weisberg, R. Leibel, and D. V. Tortoriello, “Dietary curcumin significantly improves obesity-associated inflammation and diabetes in mouse models of diabesity,” Endocrinology, vol. 149, no. 7, pp. 3549–3558, 2008.
View at: Publisher Site | Google Scholar
W. Shao, Z. Yu, Y. Chiang et al., “Curcumin prevents high fat diet induced insulin resistance and obesity via attenuating lipogenesis in liver and inflammatory pathway in adipocytes,” PLoS ONE, vol. 7, no. 1, Article ID e28784, 2012.
View at: Publisher Site | Google Scholar
A.-L. Chen, C.-H. Hsu, J.-K. Lin et al., “Phase I clinical trial of curcumin, a chemopreventive agent, in patients with high-risk or pre-malignant lesions,” Anticancer Research, vol. 21, no. 4, pp. 2895–2900, 2001.
View at: Google Scholar
N. Chainani-Wu, “Safety and anti-inflammatory activity of curcumin: a component of tumeric (Curcuma longa),” Journal of Alternative and Complementary Medicine, vol. 9, no. 1, pp. 161–168, 2003.
View at: Publisher Site | Google Scholar
C. D. Lao, M. T. Ruffin IV, D. Normolle et al., “Dose escalation of a curcuminoid formulation,” BMC Complementary and Alternative Medicine, vol. 6, article 10, 2006.
View at: Publisher Site | Google Scholar
S. Ganiger, H. N. Malleshappa, H. Krishnappa, G. Rajashekhar, V. R. Rao, and F. Sullivan, “A two generation reproductive toxicity study with curcumin, turmeric yellow, in Wistar rats,” Food and Chemical Toxicology, vol. 45, no. 1, pp. 64–69, 2007.
View at: Publisher Site | Google Scholar
F. J. Huang, K. C. Lan, H. Y. Kang et al., “Effect of curcumin on in vitro early post-implantation stages of mouse embryo development,” European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 166, no. 1, pp. 47–51, 2013.
View at: Publisher Site | Google Scholar
C. J. Murphy, H. Tang, E. A. van Kirk, Y. Shen, and W. J. Murdoch, “Reproductive effects of a pegylated curcumin,” Reproductive Toxicology, vol. 34, no. 1, pp. 120–124, 2012.
View at: Publisher Site | Google Scholar
V. Tiwari and K. Chopra, “Attenuation of oxidative stress, neuroinflammation, and apoptosis by curcumin prevents cognitive deficits in rats postnatally exposed to ethanol,” Psychopharmacology, vol. 224, no. 4, pp. 519–535, 2012.
View at: Publisher Site | Google Scholar
N. P. Wang, Z. F. Wang, S. Tootle, T. Philip, and Z. Q. Zhao, “Curcumin promotes cardiac repair and ameliorates cardiac dysfunction following myocardial infarction,” British Journal of Pharmacology, vol. 167, no. 7, pp. 1550–1562, 2012.
View at: Publisher Site | Google Scholar
R. Sakurai, Y. Li, J. S. Torday, and V. K. Rehan, “Curcumin augments lung maturation, preventing neonatal lung injury by inhibiting TGF-β signaling,” American Journal of Physiology: Lung Cellular and Molecular Physiology, vol. 301, no. 5, pp. L721–L730, 2011.
View at: Publisher Site | Google Scholar
R. Lourenço and M. E. Camilo, “Taurine: a conditionally essential amino acid in humans? An overview in health and disease,” Nutricion Hospitalaria, vol. 17, no. 6, pp. 262–270, 2002.
View at: Google Scholar
Y. Yamori, T. Taguchi, A. Hamada, K. Kunimasa, H. Mori, and M. Mori, “Taurine in health and diseases: consistent evidence from experimental and epidemiological studies,” Journal of Biomedical Science, vol. 17, supplement 1, article S6, 2010.
View at: Publisher Site | Google Scholar
R. J. Huxtable, “Physiological actions of taurine,” Physiological Reviews, vol. 72, no. 1, pp. 101–164, 1992.
View at: Google Scholar
M. Barua, Y. Liu, and M. R. Quinn, “Taurine chloramine inhibits inducible nitric oxide synthase and TNF-α gene expression in activated alveolar macrophages: decreased NF-κB activation and IκB kinase activity,” Journal of Immunology, vol. 167, no. 4, pp. 2275–2281, 2001.
View at: Publisher Site | Google Scholar
M. Sun, Y. M. Zhao, Y. Gu, and C. Xu, “Anti-inflammatory mechanism of taurine against ischemic stroke is related to down-regulation of PARP and NF-kappa B,” Amino Acids, vol. 42, no. 5, pp. 1735–1747, 2012.
View at: Publisher Site | Google Scholar
G. B. Schuller-Levis and E. Park, “Taurine and its chloramine: modulators of immunity,” Neurochemical Research, vol. 29, no. 1, pp. 117–126, 2004.
View at: Publisher Site | Google Scholar
F. T. Rosa, E. C. Freitas, R. Deminice, A. A. Jordao, and J. S. Marchini, “Oxidative stress and inflammation in obesity after taurine supplementation: a double-blind, placebo-controlled study,” European Journal of Nutrition, vol. 53, no. 3, pp. 823–830, 2014.
View at: Publisher Site | Google Scholar
S. Lin, S. Hirai, Y. Yamaguchi et al., “Taurine improves obesity-induced inflammatory responses and modulates the unbalanced phenotype of adipose tissue macrophages,” Molecular Nutrition & Food Research, vol. 57, no. 12, pp. 2155–2165, 2013.
View at: Publisher Site | Google Scholar
S. Boujendar, B. Reusens, S. Merezak et al., “Taurine supplementation to a low protein diet during foetal and early postnatal life restores a normal proliferation and apoptosis of rat pancreatic islets,” Diabetologia, vol. 45, no. 6, pp. 856–866, 2002.
View at: Publisher Site | Google Scholar
B. Reusens, T. Sparre, L. Kalbe et al., “The intrauterine metabolic environment modulates the gene expression pattern in fetal rat islets: prevention by maternal taurine supplementation,” Diabetologia, vol. 51, no. 5, pp. 836–845, 2008.
View at: Publisher Site | Google Scholar
O. H. Mortensen, H. L. Olsen, L. Frandsen et al., “Gestational protein restriction in mice has pronounced effects on gene expression in newborn offspring's liver and skeletal muscle; protective effect of taurine,” Pediatric Research, vol. 67, no. 1, pp. 47–53, 2010.
View at: Publisher Site | Google Scholar
R. Jaenisch and A. Bird, “Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals,” Nature Genetics, vol. 33, pp. 245–254, 2003.
View at: Publisher Site | Google Scholar
C. Gemma, S. Sookoian, J. Alvarĩas et al., “Maternal pregestational BMI is associated with methylation of the PPARGC1A promoter in newborns,” Obesity, vol. 17, no. 5, pp. 1032–1039, 2009.
View at: Publisher Site | Google Scholar
Q. Y. Yang, J. F. Liang, C. J. Rogers, J. X. Zhao, M. J. Zhu, and M. Du, “Maternal obesity induces epigenetic modifications to facilitate Zfp423 expression and enhance adipogenic differentiation in fetal mice,” Diabetes, vol. 62, no. 11, pp. 3727–3735, 2013.
View at: Publisher Site | Google Scholar
Y. Ding, J. Li, S. Liu et al., “DNA hypomethylation of inflammation-associated genes in adipose tissue of female mice after multigenerational high fat diet feeding,” International Journal of Obesity, vol. 38, no. 2, pp. 198–204, 2014.
View at: Publisher Site | Google Scholar
J. Carlin, R. George, and T. M. Reyes, “Methyl donor supplementation blocks the adverse effects of maternal high fat diet on offspring physiology,” PLoS ONE, vol. 8, no. 5, Article ID e63549, 2013.
View at: Google Scholar
P. Cordero, F. I. Milagro, J. Campion, and J. A. Martinez, “Maternal methyl donors supplementation during lactation prevents the hyperhomocysteinemia induced by a high-fat-sucrose intake by dams,” International Journal of Molecular Sciences, vol. 14, no. 12, pp. 24422–24437, 2013.
View at: Publisher Site | Google Scholar
X. Yang, X. Wang, D. Liu, L. Yu, B. Xue, and H. Shi, “Epigenetic regulation of macrophage polarization by DNA methyltransferase 3b,” Molecular Endocrinology, vol. 28, no. 4, pp. 565–574, 2014.
View at: Publisher Site | Google Scholar

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Copyright © 2014 Stephanie A. Segovia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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