Journal of Nutrition and Metabolism

Journal of Nutrition and Metabolism / 2016 / Article
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Nutrition: From Bench to Bedside

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Review Article | Open Access

Volume 2016 |Article ID 3124960 |

A. Hichami, O. Grissa, I. Mrizak, C. Benammar, N. A. Khan, "Role of T-Cell Polarization and Inflammation and Their Modulation by n-3 Fatty Acids in Gestational Diabetes and Macrosomia", Journal of Nutrition and Metabolism, vol. 2016, Article ID 3124960, 10 pages, 2016.

Role of T-Cell Polarization and Inflammation and Their Modulation by n-3 Fatty Acids in Gestational Diabetes and Macrosomia

Academic Editor: Michael B. Zemel
Received24 Dec 2015
Revised10 Apr 2016
Accepted05 May 2016
Published24 May 2016


Th (T helper) cells are differentiated into either Th1 or Th2 phenotype. It is generally considered that Th1 phenotype is proinflammatory, whereas Th2 phenotype exerts anti-inflammatory or protective effects. Gestational diabetes mellitus (GDM) has been associated with a decreased Th1 phenotype, whereas macrosomia is marked with high expression of Th1 cytokines. Besides, these two pathological situations are marked with high concentrations of inflammatory mediators like tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6), known to play a pivotal role in insulin resistance. Dietary n-3 polyunsaturated fatty acids (n-3 PUFAs) may exert a beneficial effect by shifting Th1/Th2 balance to a Th2 phenotype and increasing insulin sensitivity. In this paper, we shed light on the role of T-cell malfunction that leads to an inflammatory and pathophysiological state, related to insulin resistance in GDM and macrosomia. We will also discuss the nutritional management of these pathologies by dietary n-3 polyunsaturated fatty acids (PUFAs).

1. Introduction

Maternal diabetes during pregnancy, also called gestational diabetes mellitus (GDM), is an important risk factor for foetal overgrowth, termed macrosomia, which is influenced by maternal hyperglycemia and endocrine status through placental circulation [1].

In humans, macrosomia has generally been defined as a birth weight greater than or equal to the 90th percentile birth weight for gestational age, that is, infants who weigh >4000 g at delivery, regardless of gestational age or sex [24]. Infants born to diabetic mothers are at an increased risk for hypoglycaemia, respiratory distress syndrome, hyperbilirubinemia, and hypertrophic cardiomyopathy [3]. It seems that maternal hyperglycaemia leads to foetal hyperglycaemia, which stimulates foetal pancreatic islet cells and, consequently, induces foetal hyperinsulinaemia. Moreover, there exists a correlationship between maternal and foetal plasma cholesterol levels in 5-6-month-old human foetuses [5, 6]. It is noteworthy that several alterations in the metabolism of carbohydrates and lipids, observed in newborn babies of diabetic mothers, also persist postnatally [79].

2. In Utero Programming Is Responsible for Alterations Observed in Adulthood

It is possible that foetal hyperinsulinaemia may be an endogenous teratogen factor during critical periods of foetal development, leading to permanent structural or functional changes and consequent programming of “metabolic memory.” Hyperinsulinemia in utero may affect the induction and activity of various hepatic enzymes associated with fat and carbohydrate metabolism [10]. This phenomenon may be accompanied, in placenta, by modifications in the expression of the transcriptional factors such as sterol regulatory element binding protein-1c (SREBP-1c), known to induce expression of genes involved in lipogenesis [11].

In 1995, Barker [12] proposed that disproportionate foetal growth induced by foetal malnutrition, which could happen either in the middle or in a later period of the gestation, programmed coronary diseases in adulthood. The in utero programming seems to create a kind of “metabolic memory” as the physiological abnormalities, observed during the gestational period, are responsible for the induction of diseases associated with the metabolic syndrome such as type 2 diabetes (T2D) and obesity in adulthood. Indeed, in human GDM, there exists a correlationship between GDM and 6-month-old foetal plasma cholesterol levels and other abnormal lipid parameters, including high concentrations of triglycerides (TAG), apoB100, very-low-density lipoprotein (VLDL), and low-density lipoprotein (LDL), which often persist in macrosomia [2].

Leptin, an adipocyte-derived hormone, by decreasing food intake and increasing energy expenditure, stabilizes body adiposity [13]. A transient increase in leptin during neonatal life, called “neonatal leptin surge,” has been shown to exert a neurotrophic effect and the development of energy-regulation circuits in mouse hypothalamus [14]. Furthermore, experimental premature leptin surge “from day 5.5 to day 10.5 of life” in mice pups led to decreased hypothalamic leptin sensitivity and accelerated weight gain when pups were fed a high-fat diet [15]. In healthy women, both maternal and foetal leptin concentrations were correlated with infant size at birth. Reference [16] reported that leptin levels were always higher in overweight than in normal weight newborns, and plasma leptin level was correlated with birth weight. Hence, it is conceivable that foetal leptin plays a role in in utero programming.

In utero nutritional environment may induce epigenetic alterations in the foetus. Epigenetic regulation is mediated by methylation and acetylation of histones. As far as foetal nutrition is concerned, it has been reported that dietary methyl-group intake (choline, methionine, and folate) during critical periods of development can alter DNA and histone methylation which may result in lifelong changes in gene expression [17]. Hence, these epigenetic mechanisms might contribute to the development of macrosomia and its related adulthood pathologies such as obesity and T2D [18].

Growth factors might be implicated in GDM and in the pathology of macrosomia via materno-foeto-placental axis. We have conducted a clinical study in which we have determined circulating growth factors and the expressions of their genes in placenta in GDM mothers and their macrosomic babies. We observed that serum concentrations of IGF-I, IGF-BP3, EGF, FGF-2, and PDGF-B were higher in GDM dames and their macrosomic babies as compared to their respective controls. Besides, the placental expression of the mRNA of growth factors (FGF-2 or PDGF-B) and growth factor receptors, that is, IGF-IR, EGFR, and PDGFR-beta, was upregulated in GDM women compared to controls [19].

3. Cell-Mediated Immunity in Diabetic Pregnancy and Macrosomia

The immune system is composed of two major subdivisions, the innate (phagocytic cells and NK cells) and adaptive immune responses. Though the interactions between innate and adaptive immunity are complex, the innate mechanisms control both the initiation and the type of adaptive response (Th1/Th2). It has been shown that the abnormalities in humoral and cell-mediated immunity in T1D females may persist during pregnancy and, hence, may complicate immune-foetal interaction [20].

About 10% of all GDM women develop T2D after delivery. Though pancreatic autoimmunity does not seem to represent a typical marker of GDM [21], high prevalence of autoantibodies, such as anti-GAD65 and anti-IA2 antibodies, has been observed in GDM subjects [22]. Maternal transmission of these autoantibodies did not affect diabetic risk in the offspring. On the contrary, it has been reported that foetal exposure to maternal T2D protects offspring, during the first 2 decades of life, from the development of islet autoimmunity and diabetes in the later life [23]. This is explained by the fact that the immune systems of children receiving autoantibodies from their diabetic mothers are primed during foetal life [24]. Such priming is demonstrated by an increase in MHC class II positive lymphocytes in infants of diabetic mothers compared to controls [25].

With regard to T-cell activation, only a few studies are available on the subject [20]. In humans, fully activated T-cells are detected in the cord blood of infants and mothers with T1D, but not in infants from normal mothers [20]. Interleukin-2 (IL-2) is a potent T-cell mitogen. Badr et al. [26] have reported a decrease in T-cell proliferation, associated with a decrease of plasma levels of IL-2 in the offspring of diabetic mothers, as compared to those of control mothers. Also, in rat model, probably because of their priming, ex vivo T-cell proliferation is significantly lower in diabetic pregnant rats and their macrosomic offspring, as compared to control animals [27]. This phenomenon may trigger a decrease in the number of circulating and thymus homing T-cells [26].

In addition, the number of T- and B-cells in the neonates of diabetic mothers was significantly decreased compared to the neonates of healthy mothers [28]. Lapolla et al. [29] reported an increase in the number of lymphocytes but a decrease in natural killer (NK) subset in children from GDM mothers. Another alteration in lymphocyte subset pattern is observed in GDM mothers, who had high number of CD8+ cells, expressing TCR gamma/delta, and low number of CD3+ cells, expressing TCR alpha/beta. Also, infants born to GDM women had higher CD8+ gamma/delta cells than control babies [21]. This immunological imbalance may correlate with a greater risk for developing T1D, later in life [21].

T helper (Th) dichotomy in GDM and macrosomia has not yet been well explored. On the basis of production of cytokines, Th cells can be classified into two principal populations, Th1 and Th2 (Figure 1). Th1 cells support cell-mediated immunity and, as a consequence, promote inflammation, cytotoxicity, and delayed-type hypersensitivity, whereas Th2 cells support humoral immunity and downregulate the inflammatory actions of Th1 cells [30]. Th1 cells secrete IL-2, IFN-α, and TNF-β while Th2 cells secrete IL-4, IL-5, IL-6, IL-10, and IL-13 [31]. Analysis of T-cell markers in placenta showed an increase in T-cell infiltration that expresses GATA3, a marker of Th2 phenotype, in placenta of GDM women [32].

Concerning experimental models of GDM, we would like to mention that we have developed a model by administrating streptozotocin (STZ) to Wistar female rats [2, 9]. The rate of success in obtaining macrosomic pups was 75%. We confirmed in this model a decrease in Th1 cells, as observed in human GDM [33]. Furthermore, in GDM rat, the decrease in circulating IFN-γ was accompanied with an increase in IL-10 (Th2 marker) levels, as compared to control rats [34, 35]. This upregulation of Th2 phenotype in pregnancy is normalized after the delivery [34]. In fact, the shift from the Th1 phenotype to the Th2, during pregnancy, has been shown to encourage vigorous production of antibodies which not only combat infections during pregnancy, but also offer passive immunity to foetus [36]. A low Th1 profile in diabetic pregnant rats, associated with successful pregnancy, may also result from the elevated levels of reproductive hormones like human chorionic gonadotrophin (hCG) hormone, whose administration is known to diminish the production of the Th1 cytokines [37].

In rats, the upregulated Th1 profile in macrosomic animals may be due to difference in physiological status between GDM dames and their offspring [38]. A study conducted on Tunisian women with GDM and their macrosomic babies corroborates these experimental observations [39]. Indeed, the comparison of Th1/Th2 ratio showed an increase in the Th2 phenotype in GDM mothers, whereas an increase in Th1 phenotype was observed in macrosomic infants [39].

The regulatory T (T-reg) cells represent a specialized population of T-cells (CD4+CD25+), known for their properties as potent suppressors of inflammatory responses and for their ability to mediate immune tolerance. T-reg cells induce immune tolerance throughout the production of two immunosuppressive cytokines: TGF-β and IL-10 [40]. Both in humans [41] and in mice [42], T-regs cells increase very early in pregnancy, a period which coincides with an intense vascular activity [43]. The importance of T-reg cells in the success of pregnancy was demonstrated by Aluvihare et al. [44] who reported that adoptive transfer of T-lymphocytes depleted of T-regs cells into pregnant T-cell-deficient mice led to the rejection of allogeneic foetal units. Furthermore, spontaneous abortion cases and patients with recurrent miscarriage are associated with lower systemic T-reg cells compared to normal pregnancies [45]. In Kuwaiti women, high number of T-cells expressing the activation-associated HLA antigen (CD4+HLA-DR), memory T-cells, and T-reg cells have been observed during GDM [46, 47].

The frequency of T-reg cells is significantly higher in children born to T1D mothers than in those born to GDM or normal women [48, 49]. Indeed, in the case of T1D, the maternal autoimmunity and the transplacental passage of auto-GAD antibodies may influence the generation and expansion of foetal T-reg cells, which may suppress the GAD65-specific T-cell responses [48]. Besides, the T-reg cells of children born to T1D mothers exhibit a more pronounced memory phenotype (increased CCR4 expression and downregulation of CD62L), suggesting an early activation of the foetal immune system, as a consequence of maternal autoimmunity [48]. It seems that the suppressive activity of T-reg cells was significantly reduced in GDM patients when compared to healthy pregnancy [50].

It is noteworthy that obesity-induced insulin resistance is associated with the development of a specialized T-reg population in visceral adipose tissue, called “VAT resident T-reg” [51]. Visceral adipose inflammation and insulin resistance have been associated with a dramatic reduction in VAT T-reg cells in several animal models of obesity. T-reg cells, by secreting IL-10, decrease the inflammatory state of adipose tissue and, thereby, improve insulin resistance [52]. Loss-of-function and gain-of-function experiments demonstrated that VAT T-reg cells are indispensable to reducing inflammation and increasing insulin sensitivity [52]. Hence, the implication of VAT resident T-reg cells deserves deep investigations in macrosomia.

4. T-Cells Present a Defect in Calcium Signaling in Diabetic Pregnancy and Macrosomia

During T-cell activation, an increase in intracellular free calcium concentrations, [Ca2+]i, is one of the earliest events which is triggered as a result of the hydrolysis of phosphatidylinositol-bisphosphate, catalyzed by the phospholipase C (PLC). Hence, PLC gives rise to inositol trisphosphate, which recruits calcium from endoplasmic reticulum pool, and diacylglycerol which activates the protein kinase C. According to capacitive model of calcium entry, first calcium is released via T-cell receptor (TCR) activation from the endoplasmic reticulum (ER) and then it is extruded into the extracellular medium. In turn, the cells refill their intracellular emptied pool by opening calcium channels [49]. Ionomycin opens calcium channels, leading to calcium influx from extracellular medium and thapsigargin (TG) recruits calcium which belongs to endoplasmic reticulum (ER) pool. Interestingly, ionomycin-induced increases in [Ca2+]i in T-cells of GDM dames and their macrosomic offspring were greater than those in control rats [27]. In 0% of calcium buffer, TG induces increases in [Ca2+]i exclusively from ER pool and no influx occurs in the absence of calcium from the extracellular medium [53]. Hence, both in 100% and in 0% calcium media, TG-induced increases in [Ca2+]i in T-cells are higher in GDM dames and macrosomic rats than those in control animals [27], demonstrating that T-cell calcium signaling is altered in these two pathological situations.

5. Proinflammatory Adipokines and Cytokines in GDM and Macrosomia

TNF-α and IL-6 represent the main inflammatory cytokines increased in the insulin-resistant states of obesity and T2D [26, 54]. Increasing evidence suggests that GDM is a proinflammatory state similarly to T2D. Monocyte chemotactic protein-1 (MCP-1) is known to be elevated in inflammatory diseases like arthritis and lupus [55]. The elevation of MCP-1 in the third trimester of GDM suggests an association between inflammation and GDM [56]. Besides, it has been suggested that hyperglycaemia and its related oxidative stress are usually associated with increased proinflammatory cytokines production [57, 58].

Increased concentrations of TNF-α and IL-6 might not only diminish insulin sensitivity by suppressing insulin signal transduction, but also interfere with the anti-inflammatory effect of insulin (Figure 2) [54, 59]. Indeed, insulin exerts its anti-inflammatory effect by decreasing the production of reactive oxygen species (ROS) from mononuclear cells and nuclear NF-κB translocation [54]. Furthermore, insulin decreases the concentration of MCP-1, PAI-1, and EGR-1 [60]. The in vivo administration of insulin not only decreases the severity of T2D, but also diminishes the levels of MCP-1 and C-reactive protein (CRP), the two indicators of the inflammatory state [61]. IL-6 promotes insulin resistance in liver cells [62] and negatively regulates insulin signaling and glucose metabolism in adipocytes [63]. TNF-α inhibits tyrosine phosphorylation of insulin receptor and, thereby, insulin signaling [64]. It has been suggested that the increase in TNF-α and IL-6 in diabetic conditions might be a result of oxidative stress and inflammatory changes caused by hyperglycaemia [65]. IL-6 and TNF-α are mainly produced by adipose tissues. Indeed, during insulin-resistant state, adipocytes secrete MCP-1 which favors the infiltration of macrophages that, consequently, produce IL-6 and TNF-α in high quantities (Figure 2) [66, 67]. We have reported that TNF-α and IL-6 are increased in GDM women [39]. During pregnancy, IL-6 secretion has been proposed to aggravate insulin resistance and participates in the pathogenesis of GDM [59].

Adipocytes secrete a number of molecules, including adiponectin, leptin, and resistin, that modulate peripheral insulin sensitivity [66]. From the immunological point of view, adiponectin exhibits anti-inflammatory properties [66] and leptin polarizes Th cytokine production toward a proinflammatory (Th1) phenotype (Figure 1) [68]. Since adipocytokines may play an important role in the early defects of T2D [69], women with GDM represent an ideal population model for studying this interrelationship [70]. Leptin is also produced by placenta and involved in weight regulation and lipid metabolism. Contradictory results have been reported on its secretion in GDM. Depending on studies, elevated [71], constant [72], or decreased [73] levels of leptin have been observed in GDM women. Hence, in contrast to obesity which leads to an inflammatory Th1 state, leptin does not play an important role in GDM, marked with Th2 response, probably because of the hormonal status during pregnancy. Besides hyperglycaemia, chronic foetal hypoxia, detected in GDM, may also increase the inflammatory burden incurred by the foetus [74].

6. n-3 PUFAs Exert Beneficial Effects in Macrosomia

Dietary n-3 PUFAs have been considered as immunosuppressors and, therefore, are used in the management of a number of inflammatory and autoimmune diseases, including rheumatoid arthritis and multiple sclerosis [75, 76], as these pathologies are characterized by the presence of activated T-cells and inflammatory cytokines either at the site of tissue injury [77, 78] or in blood circulation [79, 80]. Fat-1 transgenic mice, known to convert endogenous n-6 PUFAs to n-3 PUFAs, were protected from diabetes, because of low concentrations of TNF-α and IL-1β [81]. Generally, both in animal models and in humans, n-3 PUFAs decrease TNF-α and IL-6 production [82]. n-3 PUFAs exert their effect on the inflammatory gene expression through the inhibition of intracellular signaling pathways that lead to NF-κB activation [83].

n-3 PUFAs have been shown to suppress mitogen-stimulated proliferation of lymphocytes isolated from lymph nodes [84], spleen [85], and lymphatic duct [86], in mice and human beings [75, 85]. Feeding the n-3 PUFA-diet corrected intracellular calcium homeostasis in T-cells of diabetic pregnant dames and their macrosomic obese rats [27]. We have assessed the Th1/Th2 dichotomy by dietary n-3 PUFAs in diabetic pregnancy and macrosomia. We observed that the n-3 PUFAs-diet upregulated the Th2 profile in GDM rats. In macrosomic offspring, the Th1 phenotype is upregulated and an n-3 PUFAs-diet downregulated this phenomenon [33]. In agreement with our finding, Wallace et al. [76] have also observed that feeding fish oil to mice induced a shift in the IFN-α/IL-4 ratio, by a factor of four, as compared to animals fed the low fat diets. n-3 PUFAs also regulated T-reg functioning. We have investigated the molecular mechanisms by which n-3 PUFAs-diet controls T-reg cell suppressive capacity. We used docosahexaenoic acid (DHA), the end product of α-linolenic acid metabolism in animal tissues, and observed that the exposure of T-reg cells to this fatty acid or its in vivo supplementation upregulated TGF-β but downregulated IL-10 in these cells, suggesting that DHA might be orienting the T-reg cell differentiation toward a Th3 phenotype [87]. Th3 phenotypes that infiltrate decidua are known to prevent abortion and contribute to the success of pregnancy [34].

Furthermore, DHA diminished the suppressive activity of T-reg cells on effector T-cell proliferation. It is now becoming clear that the interaction of Foxp3 with other transcription factors (like NAFT or Runx-1) or histone deacetyltransferase and class II histone deacetylase is critical for the repression of the transcription of IL-2 gene by Foxp3 [88]. Hence, we hypothesized that DHA might downregulate T-reg cell activity, by interfering with the critical downstream components of the Foxp3-driven suppressor pathway. Furthermore, DHA reduced the migration of T-reg cells toward chemokines by downregulating the expression of chemokines receptors (CCR-4 and CXCR-4) in these cells [87].

T-reg cell migration and activity have been found to be associated with mitogen-activated protein kinase (MAPK), that is, ERK1/2, activation [89]. Besides ERK1/2, the phosphatidylinositol-3-kinase (PI3K) and Akt/protein kinase B (hence referred to as Akt) play a critical role in the T-cell survival, expansion, and differentiation [90]. ERK1/2 and Akt phosphorylation controls the expression of , an inhibitor of cyclinE/cyclinD kinase 2 that regulates cell cycle [91]. We noticed that DHA significantly diminished the MAPK phosphorylation in activated T-reg cells, and this phenomenon was associated with an increase of in T-reg cells. Hence, DHA seems to reinforce the anergic state of T-reg cells [87].

Concerning the molecular mechanism of action of n-3 PUFAs, we have previously shown that dietary n-3 PUFAs are incorporated into plasma membrane phospholipids [92]. Hence, we assume that dietary n-3 PUFAs may exert their beneficial action by modulating cell signaling. We have recently shown that T-cell activation and T-cell calcium signaling are altered in diabetic pregnancy and macrosomia, and dietary fish oils, particularly eicosapentaenoic acid (EPA) and DHA, restore these T-cell abnormalities [93]. During cell activation, a modification in the intracellular pH also plays an important role in the cell cycle progression and, hence, DHA and EPA have been shown to modulate this phenomenon. Dietary n-3 PUFAs, incorporated into plasma membrane, may also give rise to diacylglycerols which, in turn, may modulate cell activation. It has been shown that diacylglycerols, containing EPA and DHA, modulate PKC activation [94], calcium signaling [95], and ERK1/ERK2 phosphorylation [96].

7. Conclusion

The incidence of GDM and macrosomia continues to grow worldwide and represents a major public health challenge. Except for genetic factors, physical inactivity and high caloric food are the major causing factors for these pathologies. Based on clinical studies, the Dietary Guidelines for Americans 2005 report [97] and several international and professional organizations [98] have made recommendations for consumption of at least two meals, containing fish, per week or from 0.250 g to 1 g of EPA and DHA daily with a 5 : 1 ratio of n-6 fatty acid/n-3 fatty acid. There is no doubt concerning the beneficial effects of n-3 PUFAs in the improvements of hypertriglyceridemia and the reduction of cardiovascular risk [99]. Thus, the use of these fatty acids in combination with genuine drugs (lipid-lowering, anti-inflammatory, etc.) represents a new therapeutic strategy in fighting against diabetes and obesity.


Th:T helper
TNF-α:The tumor necrosis factor-α
PPARα:Peroxisome proliferator-activated receptor alpha
n-3 PUFAs:n-3 polyunsaturated fatty acids
GDM:Gestational diabetes mellitus
RDS:Respiratory distress syndrome
VLDL:Very-low-density lipoprotein
LDL:Low-density lipoprotein
apoB100:Apolipoprotein B 100
DHA:Docosahexaenoic acid
EPA:Eicosapentaenoic acid
PMNs:Polymorphonuclear neutrophils
NK cells:Natural killer cells
T1D:Type I diabetic
Anti-IA2:Islet Cell Autoantigen 512 Antibodies
IDDM:Insulin-dependent diabetes mellitus
TCR alpha/beta:Human T-cell receptor
IFN-α:Interferon alpha
Foxp3:Forkhead box P3
CTLA-4:Cytotoxic T-Lymphocyte Antigen 4
CCR4:C-C chemokine receptor type 4
PLC:Phospholipase C
TCR:T-cell receptor
MCP-1:Monocyte chemotactic protein-1
PAI-1:Plasminogen activator inhibitor
EGR-1:Early growth response protein-1
Runx-1:Runt-related transcription factor 1
ERK1/2:Extracellular signal-regulated kinases 1/2

Competing Interests

All of the authors have nothing to declare as far as the conflict of interests is concerned.


The authors express their sincere thanks to Mrs. EVA Pop Askri for English language corrections.


  1. N. A. Khan, “Role of lipids and fatty acids in macrosomic offspring of diabetic pregnancy,” Cell Biochemistry and Biophysics, vol. 48, no. 2-3, pp. 79–88, 2007. View at: Publisher Site | Google Scholar
  2. H. Merzouk, S. Madani, A. Hichami, J. Prost, J. Belleville, and N. A. Khan, “Age-related changes in fatty acids in obese offspring of streptozotocin-induced diabetic rats,” Obesity Research, vol. 10, no. 7, pp. 703–714, 2002. View at: Publisher Site | Google Scholar
  3. A. A. Meshari, S. De Silva, and I. Rahman, “Fetal macrosomia—maternal risks and fetal outcome,” International Journal of Gynecology and Obstetrics, vol. 32, no. 3, pp. 215–222, 1990. View at: Publisher Site | Google Scholar
  4. J. M. Miller Jr., H. L. Brown, J. G. Pastorek II, and H. A. Gabert, “Fetal overgrowth: diabetic versus nondiabetic,” Journal of Ultrasound in Medicine, vol. 7, no. 10, pp. 577–579, 1988. View at: Google Scholar
  5. C. Napoli, F. P. D'Armiento, F. P. Mancini et al., “Fatty streak formation occurs in human fetal aortas and is greatly enhanced maternal, hypercholesterolemia. Intimal accumulation of low density lipoprotein and its oxidation precede monocyte recruitment into early atheroeclerotic lesions,” Journal of Clinical Investigation, vol. 100, no. 11, pp. 2680–2690, 1997. View at: Publisher Site | Google Scholar
  6. R. A. Vogel, M. C. Corretti, and G. D. Plotnick, “Effect of a single high-fat meal on endothelial function in healthy subjects,” American Journal of Cardiology, vol. 79, no. 3, pp. 350–354, 1997. View at: Publisher Site | Google Scholar
  7. H. Přibylová and L. Dvořáková, “Long-term prognosis of infants of diabetic mothers: relationship between metabolic disorders in newborns and adult offspring,” Acta Diabetologica, vol. 33, no. 1, pp. 30–34, 1996. View at: Publisher Site | Google Scholar
  8. H. Merzouk, S. Madani, J. Prost, B. Loukidi, M. Meghelli-Bouchenak, and J. Belleville, “Changes in serum lipid and lipoprotein concentrations and compositions at birth and after 1 month of life in macrosomic infants of insulin-dependent diabetic mothers,” European Journal of Pediatrics, vol. 158, no. 9, pp. 750–756, 1999. View at: Publisher Site | Google Scholar
  9. H. Merzouk, S. Madani, D. C. Sari, J. Prost, M. Bouchenak, and J. Belleville, “Time course of changes in serum glucose, insulin, lipids and tissue lipase activities in macrosomic offspring of rats with streptozotocin-induced diabetes,” Clinical Science, vol. 98, no. 1, pp. 21–30, 2000. View at: Google Scholar
  10. A. L. Fowden, “The role of insulin in prenatal growth,” Journal of Developmental Physiology, vol. 12, no. 4, pp. 173–182, 1989. View at: Google Scholar
  11. F. Foufelle and P. Ferré, “New perspectives in the regulation of hepatic glycolytic and lipogenic genes by insulin and glucose: a role for the transcription factor sterol regulatory element binding protein-1c,” Biochemical Journal, vol. 366, no. 2, pp. 377–391, 2002. View at: Publisher Site | Google Scholar
  12. D. J. P. Barker, “Fetal origins of coronary heart disease,” British Medical Journal, vol. 311, no. 6998, pp. 171–174, 1995. View at: Publisher Site | Google Scholar
  13. J. M. Friedman and J. L. Halaas, “Leptin and the regulation of body weight in mammals,” Nature, vol. 395, no. 6704, pp. 763–770, 1998. View at: Publisher Site | Google Scholar
  14. S. G. Bouret, S. J. Draper, and R. B. Simerly, “Trophic action of leptin on hypothalamic neurons that regulate feeding,” Science, vol. 304, no. 5667, pp. 108–110, 2004. View at: Publisher Site | Google Scholar
  15. S. Yura, H. Itoh, N. Sagawa et al., “Neonatal exposure to leptin augments diet-induced obesity in leptin-deficient ob/ob mice,” Obesity, vol. 16, no. 6, pp. 1289–1295, 2008. View at: Publisher Site | Google Scholar
  16. M. Maffei, L. Volpe, G. Di Cianni et al., “Plasma leptin levels in newborns from normal and diabetic mothers,” Hormone and Metabolic Research, vol. 30, no. 9, pp. 575–580, 1998. View at: Publisher Site | Google Scholar
  17. S. H. Zeisel, “Dietary choline deficiency causes DNA strand breaks and alters epigenetic marks on DNA and histones,” Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, vol. 733, no. 1-2, pp. 34–38, 2012. View at: Publisher Site | Google Scholar
  18. J. A. Joles, “Crossing borders: linking environmental and genetic developmental factors,” Microcirculation, vol. 18, no. 4, pp. 298–303, 2011. View at: Publisher Site | Google Scholar
  19. O. Grissa, A. Yessoufou, I. Mrisak et al., “Growth factor concentrations and their placental mRNA expression are modulated in gestational diabetes mellitus: possible interactions with macrosomia,” BMC Pregnancy and Childbirth, vol. 10, article 7, 2010. View at: Publisher Site | Google Scholar
  20. C. Giordano, “Immunobiology of normal and diabetic pregnancy,” Immunology Today, vol. 11, no. 9, pp. 301–303, 1990. View at: Publisher Site | Google Scholar
  21. A. Lapolla, M. G. Dalfrà, M. Sanzari et al., “Lymphocyte subsets and cytokines in women with gestational diabetes mellitus and their newborn,” Cytokine, vol. 31, no. 4, pp. 280–287, 2005. View at: Publisher Site | Google Scholar
  22. C. Murgia, M. Orrù, E. Portoghese et al., “Autoimmunity in gestational diabetes mellitus in Sardinia: a preliminary case-control report,” Reproductive Biology and Endocrinology, vol. 6, article 24, 2008. View at: Publisher Site | Google Scholar
  23. J. H. Warram, B. C. Martin, and A. S. Krolewski, “Risk of IDDM in children of diabetic mothers decreases with increasing maternal age at pregnancy,” Diabetes, vol. 40, no. 12, pp. 1679–1684, 1991. View at: Publisher Site | Google Scholar
  24. K. Koczwara, E. Bonifacio, and A.-G. Ziegler, “Transmission of maternal islet antibodies and risk of autoimmune diabetes in offspring of mothers with type 1 diabetes,” Diabetes, vol. 53, no. 1, pp. 1–4, 2004. View at: Publisher Site | Google Scholar
  25. U. Di Mario, F. Dotta, P. Gargiulo et al., “Immunology in diabetic pregnancy: activated T cells in diabetic mothers and neonates,” Diabetologia, vol. 30, no. 2, pp. 66–71, 1987. View at: Publisher Site | Google Scholar
  26. G. Badr, S. Alwasel, H. Ebaid, M. Mohany, and I. Alhazza, “Perinatal supplementation with thymoquinone improves diabetic complications and T cell immune responses in rat offspring,” Cellular Immunology, vol. 267, no. 2, pp. 133–140, 2011. View at: Publisher Site | Google Scholar
  27. B. Guermouche, A. Yessoufou, N. Soulimane et al., “n-3 fatty acids modulate T-cell calcium signaling in obese macrosomic rats,” Obesity Research, vol. 12, no. 11, pp. 1744–1753, 2004. View at: Publisher Site | Google Scholar
  28. U. Roll, J. Scheeser, E. Standl, and A. G. Ziegler, “Alerations of lymphocyte subsets in children of diabetic mothers,” Diabetologia, vol. 37, no. 11, pp. 1132–1141, 1994. View at: Publisher Site | Google Scholar
  29. A. Lapolla, M. C. Sanzari, F. Zancanaro et al., “A study on lymphocyte subpopulation in diabetic mothers at delivery and in their newborn,” Diabetes, Nutrition and Metabolism—Clinical and Experimental, vol. 12, no. 6, pp. 394–399, 1999. View at: Google Scholar
  30. J. Rengarajan, S. J. Szabo, and L. H. Glimcher, “Transcriptional regulation of Th1/Th2 polarization,” Immunology Today, vol. 21, no. 10, pp. 479–483, 2000. View at: Publisher Site | Google Scholar
  31. R. S. Liblau, S. M. Singer, and H. O. McDevitt, “Th1 and Th2 CD4+ T cells in the pathogenesis of organ-specific autoimmune diseases,” Immunology Today, vol. 16, no. 1, pp. 34–38, 1995. View at: Publisher Site | Google Scholar
  32. I. Mrizak, O. Grissa, B. Henault et al., “Placental infiltration of inflammatory markers in gestational diabetic women,” General Physiology and Biophysics, vol. 33, no. 2, pp. 169–176, 2014. View at: Publisher Site | Google Scholar
  33. N. A. Khan, A. Yessoufou, M. Kim, and A. Hichami, “N-3 fatty acids modulate Th1 and Th2 dichotomy in diabetic pregnancy and macrosomia,” Journal of Autoimmunity, vol. 26, no. 4, pp. 268–277, 2006. View at: Publisher Site | Google Scholar
  34. R. Raghupathy, “Pregnancy: success and failure within the Th1/Th2/Th3 paradigm,” Seminars in Immunology, vol. 13, no. 4, pp. 219–227, 2001. View at: Publisher Site | Google Scholar
  35. M. Makhseed, R. Raghupathy, F. Azizieh, A. Omu, E. Al-Shamali, and L. Ashkanani, “Th1 and Th2 cytokine profiles in recurrent aborters with successful pregnancy and with subsequent abortions,” Human Reproduction, vol. 16, no. 10, pp. 2219–2226, 2001. View at: Publisher Site | Google Scholar
  36. G. Reinhard, A. Noll, H. Schlebusch, P. Mallmann, and A. V. Ruecker, “Shifts in the TH1/TH2 balance during human pregnancy correlate with apoptotic changes,” Biochemical and Biophysical Research Communications, vol. 245, no. 3, pp. 933–938, 1998. View at: Publisher Site | Google Scholar
  37. N. A. Khan, A. Khan, H. F. J. Savelkoul, and R. Benner, “Inhibition of diabetes in NOD mice by human pregnancy factor,” Human Immunology, vol. 62, no. 12, pp. 1315–1323, 2001. View at: Publisher Site | Google Scholar
  38. N. A. Soulimane-Mokhtari, B. Guermouche, A. Yessoufou et al., “Modulation of lipid metabolism by n-3 polyunsaturated fatty acids in gestational diabetic rats and their macrosomic offspring,” Clinical Science, vol. 109, no. 3, pp. 287–295, 2005. View at: Publisher Site | Google Scholar
  39. J.-M. Atègbo, O. Grissa, A. Yessoufou et al., “Modulation of adipokines and cytokines in gestational diabetes and macrosomia,” The Journal of Clinical Endocrinology and Metabolism, vol. 91, no. 10, pp. 4137–4143, 2006. View at: Publisher Site | Google Scholar
  40. Y. Sasaki, M. Sakai, S. Miyazaki, S. Higuma, A. Shiozaki, and S. Saito, “Decidual and peripheral blood CD4+CD25+ regulatory T cells in early pregnancy subjects and spontaneous abortion cases,” Molecular Human Reproduction, vol. 10, no. 5, pp. 347–353, 2004. View at: Publisher Site | Google Scholar
  41. S. Sakaguchi, “Naturally arising Foxp3-expressing CD25+ CD4+ regulatory T cells in immunological tolerance to self and non-self,” Nature Immunology, vol. 6, no. 4, pp. 345–352, 2005. View at: Publisher Site | Google Scholar
  42. K. Matrougui, A. E. Zakaria, M. Kassan et al., “Natural regulatory T cells control coronary arteriolar endothelial dysfunction in hypertensive mice,” The American Journal of Pathology, vol. 178, no. 1, pp. 434–441, 2011. View at: Publisher Site | Google Scholar
  43. C. Thuere, M. L. Zenclussen, A. Schumacher et al., “Kinetics of regulatory T cells during murine pregnancy,” American Journal of Reproductive Immunology, vol. 58, no. 6, pp. 514–523, 2007. View at: Publisher Site | Google Scholar
  44. V. R. Aluvihare, M. Kallikourdis, and A. G. Betz, “Regulatory T cells mediate maternal tolerance to the fetus,” Nature Immunology, vol. 5, no. 3, pp. 266–271, 2004. View at: Publisher Site | Google Scholar
  45. M. J. Jasper, K. P. Tremellen, and S. A. Robertson, “Primary unexplained infertility is associated with reduced expression of the T-regulatory cell transcription factor Foxp3 in endometrial tissue,” Molecular Human Reproduction, vol. 12, no. 5, pp. 301–308, 2006. View at: Publisher Site | Google Scholar
  46. F. F. Mahmoud, D. D. Haines, H. T. Abul, A. E. Omu, and M. B. Abu-donia, “Butyrylcholinesterase activity in gestational diabetes: correlation with lymphocyte subpopulations in peripheral blood,” American Journal of Reproductive Immunology, vol. 56, no. 3, pp. 185–192, 2006. View at: Publisher Site | Google Scholar
  47. F. Mahmoud, H. Abul, A. Omu, and D. Haines, “Lymphocyte sub-populations in gestational diabetes,” American Journal of Reproductive Immunology, vol. 53, no. 1, pp. 21–29, 2005. View at: Publisher Site | Google Scholar
  48. B. C. Holm, J. Svensson, C. Åkesson et al., “Evidence for immunological priming and increased frequency of CD4+ CD25+ cord blood T cells in children born to mothers with type 1 diabetes,” Clinical and Experimental Immunology, vol. 146, no. 3, pp. 493–502, 2006. View at: Publisher Site | Google Scholar
  49. J. W. Putney Jr., “Type 3 inositol 1,4,5-trisphosphate receptor and capacitative calcium entry,” Cell Calcium, vol. 21, no. 3, pp. 257–261, 1997. View at: Publisher Site | Google Scholar
  50. L. Schober, D. Radnai, J. Spratte et al., “The role of regulatory T cell (Treg) subsets in gestational diabetes mellitus,” Clinical and Experimental Immunology, vol. 177, no. 1, pp. 76–85, 2014. View at: Publisher Site | Google Scholar
  51. D. Cipolletta, D. Kolodin, C. Benoist, and D. Mathis, “Tissular tregs: a unique population of adipose-tissue-resident Foxp3+CD4+ T cells that impacts organismal metabolism,” Seminars in Immunology, vol. 23, no. 6, pp. 431–437, 2011. View at: Publisher Site | Google Scholar
  52. M. Feuerer, L. Herrero, D. Cipolletta et al., “Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters,” Nature Medicine, vol. 15, no. 8, pp. 930–939, 2009. View at: Publisher Site | Google Scholar
  53. S. C. Chow and M. Jondal, “Ca2+ entry in T cells is activated by emptying the inositol 1,4,5-trisphosphate sensitive Ca2+ pool,” Cell Calcium, vol. 11, no. 10, pp. 641–646, 1990. View at: Publisher Site | Google Scholar
  54. 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
  55. B. J. Rollins, “Monocyte chemoattractant protein 1: a potential regulator of monocyte recruitment in inflammatory disease,” Molecular Medicine Today, vol. 2, no. 5, pp. 198–204, 1996. View at: Publisher Site | Google Scholar
  56. K. Klein, M. Satler, M. Elhenicky et al., “Circulating levels of MCP-1 are increased in women with gestational diabetes,” Prenatal Diagnosis, vol. 28, no. 9, pp. 845–851, 2008. View at: Publisher Site | Google Scholar
  57. E. M. Sternberg, G. P. Chrousos, R. L. Wilder, and P. W. Gold, “The stress response and the regulation of inflammatory disease,” Annals of Internal Medicine, vol. 117, no. 10, pp. 854–866, 1992. View at: Publisher Site | Google Scholar
  58. K. Esposito, F. Nappo, R. Marfella et al., “Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress,” Circulation, vol. 106, no. 16, pp. 2067–2072, 2002. View at: Publisher Site | Google Scholar
  59. F. Yu, Y.-M. Xue, C.-Z. Li et al., “Association of serum interleukin-6 and high-sensitivity C-reactive protein levels with insulin resistance in gestational diabetes mellitus,” Nan Fang Yi Ke Da Xue Xue Bao, vol. 27, no. 6, pp. 799–801, 2007. View at: Google Scholar
  60. T. K. Hansen, S. Thiel, S. T. Knudsen et al., “Elevated levels of mannan-binding lectin in patients with type 1 diabetes,” The Journal of Clinical Endocrinology & Metabolism, vol. 88, no. 10, pp. 4857–4861, 2003. View at: Publisher Site | Google Scholar
  61. K. Takebayashi, Y. Aso, and T. Inukai, “Initiation of insulin therapy reduces serum concentrations of high-sensitivity C-reactive protein in patients with type 2 diabetes,” Metabolism: Clinical and Experimental, vol. 53, no. 6, pp. 693–699, 2004. View at: Publisher Site | Google Scholar
  62. J. H. Kim, R. A. Bachmann, and J. Chen, “Interleukin-6 and insulin resistance,” Vitamins & Hormones, vol. 80, pp. 613–633, 2009. View at: Google Scholar
  63. M. Kuzmicki, B. Telejko, J. Szamatowicz et al., “High resistin and interleukin-6 levels are associated with gestational diabetes mellitus,” Gynecological Endocrinology, vol. 25, no. 4, pp. 258–263, 2009. View at: Publisher Site | Google Scholar
  64. G. S. Hotamisligil, D. L. Murray, L. N. Choy, and B. M. Spiegelman, “Tumor necrosis factor α inhibits signaling from the insulin receptor,” Proceedings of the National Academy of Sciences of the United States of America, vol. 91, no. 11, pp. 4854–4858, 1994. View at: Publisher Site | Google Scholar
  65. M. E. E. Shams, M. M. H. Al-Gayyar, and E. A. M. E. Barakat, “Type 2 diabetes mellitus-induced hyperglycemia in patients with NAFLD and normal LFTs: relationship to lipid profile, oxidative stress and pro-inflammatory cytokines,” Scientia Pharmaceutica, vol. 79, no. 3, pp. 623–634, 2011. View at: Publisher Site | Google Scholar
  66. F. Lago, C. Dieguez, J. Gómez-Reino, and O. Gualillo, “Adipokines as emerging mediators of immune response and inflammation,” Nature Clinical Practice Rheumatology, vol. 3, no. 12, pp. 716–724, 2007. View at: Publisher Site | Google Scholar
  67. P. Dandona, A. Aljada, P. Mohanty et al., “Insulin inhibits intranuclear nuclear factor κB and stimulates IκB in mononuclear cells in obese subjects: evidence for an anti-inflammatory effect?” Journal of Clinical Endocrinology and Metabolism, vol. 86, no. 7, pp. 3257–3265, 2001. View at: Publisher Site | Google Scholar
  68. B. Mattioli, E. Straface, M. G. Quaranta, L. Giordani, and M. Viora, “Leptin promotes differentiation and survival of human dendritic cells and licenses them for Th1 priming,” The Journal of Immunology, vol. 174, no. 11, pp. 6820–6824, 2005. View at: Publisher Site | Google Scholar
  69. J. J. Díez and P. Iglesias, “The role of the novel adipocyte-derived hormone adiponectin in human disease,” European Journal of Endocrinology, vol. 148, no. 3, pp. 293–300, 2003. View at: Publisher Site | Google Scholar
  70. S. W. Coppack, “Pro-inflammatory cytokines and adipose tissue,” Proceedings of the Nutrition Society, vol. 60, no. 3, pp. 349–356, 2001. View at: Google Scholar
  71. A. Kautzky-Willer, G. Pacini, A. Tura et al., “Increased plasma leptin in gestational diabetes,” Diabetologia, vol. 44, no. 2, pp. 164–172, 2001. View at: Publisher Site | Google Scholar
  72. D. Simmons and B. H. Breier, “Fetal overnutrition in polynesian pregnancies and in gestational diabetes may lead to dysregulation of the adipoinsular axis in offspring,” Diabetes Care, vol. 25, no. 9, pp. 1539–1544, 2002. View at: Publisher Site | Google Scholar
  73. A. Festa, N. Shnawa, W. Krugluger, P. Hopmeier, G. Schernthaner, and S. M. Haffner, “Relative hypoleptinaemia in women with mild gestational diabetes mellitus,” Diabetic Medicine, vol. 16, no. 8, pp. 656–662, 1999. View at: Publisher Site | Google Scholar
  74. M. Loukovaara, P. Leinonen, K. Teramo, H. Alfthan, U.-H. Stenman, and S. Andersson, “Fetal hypoxia is associated with elevated cord serum C-reactive protein levels in diabetic pregnancies,” Biology of the Neonate, vol. 85, no. 4, pp. 237–242, 2004. View at: Publisher Site | Google Scholar
  75. E. Soyland, M. S. Nenseter, L. Braathen, and C. A. Drevon, “Very long chain n-3 and n-6 polyunsaturated fatty acids inhibit proliferation of human T-lymphocytes in vitro,” European Journal of Clinical Investigation, vol. 23, no. 2, pp. 112–121, 1993. View at: Publisher Site | Google Scholar
  76. F. A. Wallace, E. A. Miles, C. Evans, T. E. Stock, P. Yaqoob, and P. C. Calder, “Dietary fatty acids influence the production of Th1- but not Th2-type cytokines,” Journal of Leukocyte Biology, vol. 69, no. 3, pp. 449–457, 2001. View at: Google Scholar
  77. Y. T. Konttinen, V. Bergroth, E. Kinnunen, D. Nordström, and T. Kouri, “Activated T lymphocytes in patients with multiple sclerosis in clinical remission,” Journal of the Neurological Sciences, vol. 81, no. 2-3, pp. 133–139, 1987. View at: Publisher Site | Google Scholar
  78. J. N. W. N. Barker, “The pathophysiology of psoriasis,” The Lancet, vol. 338, no. 8761, pp. 227–230, 1991. View at: Publisher Site | Google Scholar
  79. J. E. Merrill, C. Mohlstrom, C. Uittenbogaart, V. Kermaniarab, G. W. Ellison, and L. W. Myers, “Response to and production of interleukin 2 by peripheral blood and cerebrospinal fluid lymphocytes of patients with multiple sclerosis,” The Journal of Immunology, vol. 133, no. 4, pp. 1931–1937, 1984. View at: Google Scholar
  80. R. E. Wolf and W. G. Brelsford, “Soluble interleukin-2 receptors in systemic lupus erythematosus,” Arthritis and Rheumatism, vol. 31, no. 6, pp. 729–735, 1988. View at: Publisher Site | Google Scholar
  81. J. Bellenger, S. Bellenger, A. Bataille et al., “High pancreatic n-3 fatty acids prevent STZ-induced diabetes in fat-1 mice: inflammatory pathway inhibition,” Diabetes, vol. 60, no. 4, pp. 1090–1099, 2011. View at: Publisher Site | Google Scholar
  82. T. A. Babcock, W. S. Helton, D. Hong, and N. J. Espat, “Omega-3 fatty acid lipid emulsion reduces LPS-stimulated macrophage TNF-α production,” Surgical Infections, vol. 3, no. 2, pp. 145–149, 2002. View at: Publisher Site | Google Scholar
  83. A. Denys, A. Hichami, and N. A. Khan, “Eicosapentaenoic acid and docosahexaenoic acid modulate MAP kinase enzyme activity in human T-cells,” Molecular and Cellular Biochemistry, vol. 232, no. 1-2, pp. 143–148, 2002. View at: Publisher Site | Google Scholar
  84. P. C. Calder, J. A. Bond, S. J. Bevan, S. V. Hunt, and E. A. Newsholme, “Effect of fatty acids on the proliferation of concanavalin a-stimulated rat lymph node lymphocytes,” International Journal of Biochemistry, vol. 23, no. 5-6, pp. 579–588, 1991. View at: Publisher Site | Google Scholar
  85. W. M. Tsang, C. Weyman, and A. D. Smith, “Effect of fatty acid mixtures on phytohaemagglutinin-stimulated lymphocytes of different species,” Biochemical Society Transactions, vol. 5, no. 1, pp. 153–154, 1977. View at: Publisher Site | Google Scholar
  86. P. C. Calder, S. J. Bevan, and E. A. Newsholme, “The inhibition of T-lymphocyte proliferation by fatty acids is via an eicosanoid-independent mechanism,” Immunology, vol. 75, no. 1, pp. 108–115, 1992. View at: Google Scholar
  87. A. Yessoufou, A. Plé, K. Moutairou, A. Hichami, and N. A. Khan, “Docosahexaenoic acid reduces suppressive and migratory functions of CD4+CD25+ regulatory T-cells,” Journal of Lipid Research, vol. 50, no. 12, pp. 2377–2388, 2009. View at: Publisher Site | Google Scholar
  88. B. Li, A. Samanta, X. Song et al., “FOXP3 interactions with histone acetyltransferase and class II histone deacetylases are required for repression,” Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 11, pp. 4571–4576, 2007. View at: Publisher Site | Google Scholar
  89. J. Kipnis, M. Cardon, H. Avidan et al., “Dopamine, through the extracellular signal-regulated kinase pathway, downregulates CD4+CD25+ regulatory T-cell activity: implications for neurodegeneration,” The Journal of Neuroscience, vol. 24, no. 27, pp. 6133–6143, 2004. View at: Publisher Site | Google Scholar
  90. L. Li, W. R. Godfrey, S. B. Porter et al., “CD4+CD25+ regulatory T-cell lines from human cord blood have functional and molecular properties of T-cell anergy,” Blood, vol. 106, no. 9, pp. 3068–3073, 2005. View at: Publisher Site | Google Scholar
  91. C. J. Sherr, “Cancer cell cycles,” Science, vol. 274, no. 5293, pp. 1672–1677, 1996. View at: Publisher Site | Google Scholar
  92. C. Triboulot, A. Hichami, A. Denys, and N. A. Khan, “Dietary (n-3) polyunsaturated fatty acids exert antihypertensive effects by modulating calcium signaling in T cells of rats,” Journal of Nutrition, vol. 131, no. 9, pp. 2364–2369, 2001. View at: Google Scholar
  93. N. A. Khan and A. Hichami, “Role of n-3 polyunsaturated fatty acids in T-cell signalling,” in Recent Advances in Research in Lipids, vol. 6, pp. 65–78, Transworld Publications, 2002. View at: Google Scholar
  94. S. Madani, A. Hichami, A. Legrand, J. Belleville, and N. A. Khan, “Implication of acyl chain of diacylglycerols in activation of different isoforms of protein kinase C,” The FASEB Journal, vol. 15, no. 14, pp. 2595–2601, 2001. View at: Publisher Site | Google Scholar
  95. A. Hichami, C. Morin, E. Rousseau, and N. A. Khan, “Diacylglycerol-containing docosahexaenoic acid in acyl chain modulates airway smooth muscle tone,” American Journal of Respiratory Cell and Molecular Biology, vol. 33, no. 4, pp. 378–386, 2005. View at: Publisher Site | Google Scholar
  96. S. Madani, A. Hichami, M. Charkaoui-Malki, and N. A. Khan, “Diacylglycerols containing omega 3 and omega 6 Fatty acids bind to RasGRP and modulate MAP kinase activation,” Journal of Biological Chemistry, vol. 279, no. 2, pp. 1176–1183, 2004. View at: Publisher Site | Google Scholar
  97. USDA D, Dietary Guidelines Advisory Committee Report 2005,
  98. J. Who and F. E. Consultation, “Diet, nutrition and the prevention of chronic diseases,” Technical Report Series 916, World Health Organization, Geneva, Switzerland, 2003. View at: Google Scholar
  99. M. A. Leslie, D. J. A. Cohen, D. M. Liddle, L. E. Robinson, and D. W. L. Ma, “A review of the effect of omega-3 polyunsaturated fatty acids on blood triacylglycerol levels in normolipidemic and borderline hyperlipidemic individuals,” Lipids in Health and Disease, vol. 14, no. 1, article 53, 2015. View at: Publisher Site | Google Scholar

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