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Journal of Animal Science logoLink to Journal of Animal Science
. 2020 Aug 18;98(Suppl 1):S155–S174. doi: 10.1093/jas/skaa134

Interaction between inflammation and metabolism in periparturient dairy cows

Matteo Mezzetti 1, Massimo Bionaz 2, Erminio Trevisi 1,
PMCID: PMC7433922  PMID: 32810244

Introduction

A large body of work has been conducted to elucidate the link between the loss of viability, sensitivity to pro-inflammatory mediators and the impairment of antimicrobial functions affecting the innate immune cells, the occurrence of uncontrolled inflammations, and the sudden alteration of the metabolism during the transition from pregnancy to lactation in high-producing dairy cows. Despite this massive effort, a clear link is still missing. The intent of this review is to summarize our current knowledge on the subject and attempt to propose a link. In the first part of this review we provide an overview of the physiological adaptation during the transition from pregnancy to lactation focusing on the alterations affecting the innate immune system and the inflammation occurring during this phase. In the second part of the review, we propose a relationship between the function of the innate immune system, the inflammatory conditions, and the metabolism in dairy cows during the transition from pregnancy to lactation with the intent to elucidate the driving cause of immune alterations occurring in this phase. In the third and final part, we review some novel dietary strategies to optimize the function of the innate immunity in dairy cows describing their mode of action and their applicability as an aid for dairy cows during the peripartal phase.

Peripartum Period and Immune Dysfunction

In dairy cows, peripartum period includes the last 2 mo of gestation and the first month of lactation. Within the peripartum period, the 3 wk prior to and the 3 wk following parturition are termed the transition period (TP). The TP is known as the most challenging phase during the life of all mammals, including cattle (Drackley, 1999; Van Knegsel et al., 2014). Reduced immune competence typically affects innate immune cells during the TP (Goff and Horst, 1997). The impairment of the immune system is driven by a transcriptomic change in polymorphonuclear (PMN) cells between −1 and 2 wk from calving that negatively affects viability, survival, and sensitivity to pro-inflammatory mediators as well as their chemotaxis, phagocytosis, respiratory burst, and antioxidant systems (Cai et al., 1994; Kimura et al., 1999; Mehrzad et al., 2001; O’Boyle et al., 2012; Crookenden et al., 2016; Crookenden et al., 2017). Thus, a delayed migration of hypofunctional neutrophils is believed as one of the causes of a hypo-responsive state in cows during their peripartum period (Sordillo, 2016). Such a condition increases the likelihood of developing infectious diseases (Minuti et al., 2015a).

A systemic inflammatory status accompanies the reduction of PMN function in early lactation, which is a physiological consequence of events related to parturition (i.e., fatigue, psychological stress, tissue trauma, altered epithelial permeability, uterine infections; Trevisi et al., 2011a; Trevisi and Minuti, 2018). Systemic inflammations are often accompanied by the acute phase response in liver, which implies severe loss of the ability of the liver to perform its normal functions mostly due to altered synthesis of liver proteins (Cappa et al., 1989; Trevisi et al., 2005; Hotamisligil, 2006; Loor et al., 2007; Bertoni et al., 2008). During the acute phase, the liver produces more α-globulins, known as positive acute phase proteins (APP); i.e., serum amyloid alpha (SAA), haptoglobin, ceruloplasmin, and orosomucoid (Fleck, 1989; Ceciliani et al., 2012). Conversely, the liver reduces the synthesis of albumin, retinol binding protein, paraoxonase (PON), and lipoproteins, known as negative APP (Schreiber et al., 1982; Bertoni et al., 2008) and sequesters minerals from circulating blood as zinc and iron (Bertoni and Trevisi, 2013).

Plasmatic trends of positive APPs has been proposed as a biomarker of the severity of inflammation, as they reflect the alteration of liver functions induced by the acute phase response (Castell et al., 1989; Fleck et al., 1989; Trevisi et al., 2012). Nevertheless, positive APPs have different sensitivity to the acute phase, as they are released at different intervals from the onset of systemic inflammation. Among positive APPs, haptoglobin is the most promising biomarker of inflammation in dairy cows (Bionaz et al., 2007; Huzzey et al., 2011). In fact, it has a longer plasma half-life relative to other positive APPs (i.e., SAA), requiring 60 to 96 h to return to normal circulating levels after an acute phase response (Giblett, 1961). Relation of haptoglobin concentration with WBC function has been investigated by Nightingale et al. (2015), who grouped 240 Holstein transition dairy cows into three classes according to their postpartum haptoglobin level: low (0 to 8.4 µg/mL), moderate (8.5 to 458 µg/mL), and high (459 to 1,757 µg/mL). Animals with the highest haptoglobin levels had a lower neutrophil count in blood, likely due to the recruitment of PMNs to inflamed peripheral tissues. Furthermore, PMNs from cows with the highest haptoglobin level produced higher amounts of tumor necrosis factor alpha (TNF), had an increased expression of SELL, and a greater respiratory burst activity, confirming that the level of plasma haptoglobin was related to the activation of PMNs, and thus to the inflammatory condition of the animals.

Immune Dysfunction in Peripartum Period: Causes and Effects

The exact cause of immune dysfunction in cows during peripartum period has never been clearly identified. Sudden changes in body homeostasis are—to a certain extent—physiological during the TP (Trevisi et al., 2011a). Severe stressful events that occur during late pregnancy (i.e., inadequate dry-off procedures, psychological stressful conditions resulting from overcrowding or uncomfortable equipment, heat stress, nutritional impairment, poor hygienic conditions) could induce such changes that exceed the control of homeorhetic and homeostatic mechanisms, inducing a physiological imbalance (PI) condition.

High circulating pro-inflammatory cytokines levels during the dry period may impair the immune system post-partum

Even though rare clinical signs are reported before calving, recent studies highlighted the dry-off as a challenging event that could activate innate immune system inducing metabolic inflammation (Mezzetti et al., 2020). The occurrence of a PI condition before calving could exacerbate inflammatory events in early lactation (Calamari et al., 2014; Minuti et al., 2020), although the connection between inflammatory events that occur during dry period and the severity of the acute phase response in early lactation is still unknown. Likely, excessive levels of circulating pro-inflammatory cytokines (PICs) prior to calving could increase the severity of inflammatory conditions at the onset of lactation through impairing the capacity of the adaptive immune system to intervene during inflammatory processes and delaying the recovery of normal function of tissues (Jahan et al., 2015; Trevisi et al., 2015). This could arise from the dysfunctional activation of dendritic cells driven by PICs, which are known to block the activation of T-lymphocytes (Joffre et al., 2009). This hypothesis is consistent with data by Nightingale et al. (2015), who found a lower production of interferon gamma (IFNγ) by whole blood cells after an LPS stimulation in cows having high haptoglobin levels after calving, reflecting an impairment of T-lymphocytes and adaptive immunity, and suggesting the interaction between the innate and adaptive immune systems was reduced as compare with cows having low haptoglobin levels after calving (Nightingale et al., 2015). Recent evidences suggest that cows having inflammatory conditions during the dry period are more prone to an impairment of pivotal body functions in early lactation (e.g., increased body temperature and reduced feed intake, likely as a consequence of inflammation after calving), increasing the risk in developing metabolic disorders (Mezzetti et al., 2019).

Limitations of maternal immune responses against the allogeneic conceptus

Reduced immune competence reported in TP could partially arise from the normal maternal immunotolerance against the allogeneic conceptus during the late gestation period (Esposito et al., 2014). Other than fluctuation in steroid hormones, immunotolerance is also triggered by specific immune cells (i.e., M2 macrophages, γδ T-cells, and T regulatory cells) that can inhibit inflammation and T-cell responses (Majewski and Hansen, 2002; Padua et al., 2005; Esposito et al., 2014). In particular, M2 macrophages are involved in inhibition of inflammatory conditions that could increase the risk of developing uterine infections (Esposito et al., 2014).

Alteration in the hormonal patterns

Steroidal changes, such as an increase of estradiol and a reduction of progesterone, occur before calving, while increases of protein homeorhetic hormones, such as prolactin, growth hormone (GH), insulin-like growth factor-1 (IGF-1), and insulin, occur after calving (Bauman and Bruce Currie, 1980; Tucker, 1985). The occurrence of a PI condition could alter the normal hormonal patterns in peripartum period. For instance, cortisol levels depend on the liver synthesis of a specific carrier protein, termed corticosteroid binding globulin. When inflammation occurs and liver protean syntheses are impaired, reduced production of corticosteroid binding globulin triggers an initial increase in free cortisol, which indicates more bioactivity (Pugeat et al., 1989). Then, negative feedback prevails and the hypophysis-pituitary-adrenal axis secretes less cortisol (Trevisi et al., 2013a). A direct relationship with immune functions has been well documented for most of the hormones aforementioned (Table 1), although these trends can only partially account for immune dysfunction in TP, as they do not overlap with the entire duration of the immune alterations.

Table 1.

Trends of main hormones during transition period and their effect on immune functions

Class Hormone trend1 Altering factors2 Effect on immune system3 References
Glucocorticoids Cortisol
(+) dry-off and calving time
(±±) Stress induced by milk yield higher than 25 kg/d at dry-off, pen movements, re-socialization, environment, weather, diet, parturition Immune competence (D-):
Down-regulation of selectin-L and cluster of differentiation-18 adhesion molecules on PMN4, impairing their chemotaxis and diapedesis; altered cytokines production through impairment of NF-κB5 functions
Immune competence (I-):
Reduce feed intake favoring lipomobilization. Induce increased expression of PPARα6, which leads to coordinate induction of enzymes involved in plasma transport, intracellular trafficking and metabolism of fatty acids
Inflammation (D±):
Stimulates haptoglobin release from parenchymal liver cells
Burton et al., 1995; Drackley, 1999; Drackley et al., 2005; Bertulat et al., 2013; Putman et al., 2018
Catecholamines Epinephrine, norepinephrine, dopamine
(+) dry-off and calving time
(±±) Stress induced by pen movements, re-socialization, environment, weather, diet, parturition Immune competence (D-):
Activation of genes encoding for a variety of cytokines through the cAMP-RBP7 activation
Immune competence (I-):
Provide the primary stimulus for increased mobilization of NEFA8 from adipose tissue
Higuchi et al., 1994; Burton et al., 1995; Drackley, 1999; Padgett and Glaser, 2003; Do Nascimento et al., 2004; Cooke et al., 2012
Steroids Progesterone
High levels during gestation and rapid fall at calving
(Decrease) Deficiency of dietary n-3 fatty acids Immune competence (D-):
Decrease functional capabilities of lymphocytes and PMN4, reduce capacity to face bacterial infections
Roth et al., 1982; Davis, 1998; Drackley et al., 2005; Lamote et al., 2006; Kelley et al., 2007; Sordillo, 2016
Estrogen
(+) late pregnancy
(Increase) Excess of dietary n-6 fatty acids Immune competence (I-):
Decrease feed intake favoring mobilization of body fats
Protein hormones Insulin
(+) late pregnancy; (-) early lactation
(Altered sensitivity) TNF released by leukocytes during systemic inflammations induce insulin resistance Immune competence (I-):
Increased insulin resistance of peripheral tissues reduces glucose uptake in peripheral tissues increasing negative energy balance condition, mobilization of body fats, liver ketogenesis and accumulation of triglycerides
Bell, 1995; Davis, 1998; Kushibiki et al., 2001; Lucy, 2001; Taylor et al., 2004; Kelley et al., 2007; Bradford et al., 2009; Sordillo, 2016
Growth hormone (GH)
(+) early lactation
IGF-1
(-) early lactation
Immune competence (I-):
Down-regulation of liver GH receptor during NEB9 increase GH and decrease IGF-1 blood concentration, increasing lipolysis and gluconeogenesis
Lucy, 2001
Leptin
Falls in late pregnancy and remain low postpartum
Immune competence (I-):
Can influence feed intake and contribute to peripheral insulin resistance in peripartum, increasing NEB9 condition
Esposito et al., 2014

1Trend of main hormones: (-) indicates hormones that undergoes a reduction and (+) indicates hormones that increase during transition period.

2Main factors altering normal hormonal trends and their effects: (±) indicates an augmented magnitude of transition period trends; (Increase) indicates an upregulation and (Decrease) a down-regulation in the average hormonal production.

3Effect of the hormone on the immune system: (I) and (D) indicate an indirect and direct mode of action respectively; (+) and (-) indicate a positive or negative effect on immune function, respectively.

4Polymorphonuclear cells.

5Nuclear factor-κB.

6Peroxisome proliferation-activated receptor, alpha.

7Cyclic adenosine monophosphate response element-binding protein.

8Non-esterified fatty acids.

9Negative energy balance.

Mastectomized pregnant cows face a shorter and less marked immune suppression status during calving as compared with animals with mammary glands, without any alterations in circulating WBCs (Nonnecke et al., 1993; Kimura et al., 1999; Kimura et al., 2002). These results suggest that the largest effect of reducing immune competence during calving could result from endocrine assets that alter body homeostasis in order to satisfy lactation requirements. Thus, an indirect effect on immune functions (which is discussed in detail in the following section) should be considered for most of the hormones fluctuating during TP (Table 1).

Alteration in nutrient availability

Cows entering the dry period are in a positive energy balance (PEB) condition (Mäntysaari and Mäntysaari, 2015). Three weeks prior to calving, nutrient requirements of the growing fetus reach maximal levels (Bell, 1995; Dingwell et al., 2001). Furthermore, as soon as milk production starts, mammary glands change the metabolic priorities in nutrient redistribution to start copious milk synthesis, which induces a drastic increase in energy, protein, and mineral requirements (Drackley, 1999; Leroy et al., 2008). These massive requirements cannot be satisfied from the feed intake during early lactation. The feed intake in this phase is limited by a combination of an insufficient rumen volume, as it is reduced during the dry period (Dirksen et al., 1985; Sordillo et al., 2009), and other not well-defined factors (Ingvartsen and Andersen, 2000), including alterations of the rumen microbiota due to dietary changes (Odensten et al., 2005; Calsamiglia et al., 2008; Minuti et al., 2015b), hormonal changes due to the parturition process, stress induced by calving, moving cows between pens (Ingvartsen, 2006; Nordlund, 2006), and the anorexic effect of PICs released due to calving or metabolic and/or infectious diseases (Jahan et al., 2015; Trevisi et al., 2015; Trevisi et al., 2016). Insufficient feed intake leads to a negative energy balance (NEB) that has been quantified to be >12 Mcal/d in Holstein dairy cows having an average milk yield of 45 kg/d during the first 3 wk of lactation (Rastani et al., 2001). Studies conducted on a model of feed restriction using mid-lactation cows (i.e., an early lactation-like NEB condition without the endocrine alteration related to calving) revealed that lack of energy affects the transcription of genes important for immune-competence in PMN, including down-regulation of genes encoding for defensins, cytokines, antigen presentation, respiratory burst, and inflammatory response (Moyes et al., 2010; Crookenden et al., 2017). The NEB also represses the expression of genes involved in the inflammatory response and chemotaxis in PMN during inframammary infection with Streptococcus uberis (Moyes et al., 2010). At the same time, greater mRNA expression of anti-inflammatory genes occurred, indicating a greater likelihood of developing additionally infectious diseases (Moyes et al., 2010) or in establishing chronic pathological conditions. Inflammation has a main role in aggravating the NEB condition at the onset of lactation, as TNF produced by activated leukocytes during inflammatory events could induce an insulin-resistance status though inhibiting solute carrier family 4 (SLC2A4), reducing glucose uptake in peripheral tissues (except for mammary gland and immune cells) and increasing lipolysis by the adipose tissue (Kushibiki et al., 2001; Bradford et al., 2009) (Table 1).

Glucose is the main energy source used by immune cells, and the effect sorted by NEB on immune cells at the beginning of lactation is driven by an insufficient availability of glucose in peripheral tissues due to the prioritization of milk synthesis (Sordillo et al., 2009). Data obtained in Holstein lactating cows after a stimulation with LPS indicated that an acutely activated immune system uses >1 kg of glucose within 720 min from the onset of inflammation (Kvidera et al., 2017). During mid-lactation, the activated immune system can compete for glucose though an up-regulation of SLC2A1 and SLC2A4 on immune cells (Moyes et al., 2016), reducing glucose availability for the mammary gland and, thus, reducing milk yield. This was supported by the study from Kvidera et al. (2017), who evaluated milk yield, acute phase response and lipid metabolism parameters in mid-lactating cows treated with LPS. They observed that LPS group had a marked acute phase response, resulting in severe milk loss compared to a control group. The authors also observed that maintaining glycemia through an euglycemic clamp did not reduce inflammation and, more importantly, did not prevent the reduction of milk synthesis. This could be due to the direct contribution of LPS in affecting the transcriptome of the mammary gland (Minuti et al., 2015c; Moyes et al., 2016), that could have decreased its milk synthesis independently from glucose availability. Conversely, a reduced expression of the solute carrier family 2, the main glucose transporter in immune cells, has been reported during the TP (O’Boyle et al., 2012), and this could make cells of the bovine immune system less competitive for glucose as compared with what is used for milk production in early lactation (Sordillo, 2016).

Alternative energy sources for immune cells include glutamine and nonesterified fatty acids (NEFA) (Calder, 2013), while ketones are not utilizable as an alternative energy source by leukocytes and have been shown to inhibit the immune response when their concentration is relatively high (Ingvartsen and Moyes, 2015). In early lactation, NEFA and glycerol are released into blood as a result of induced adipose tissue lipolysis. Circulating NEFA are completely oxidized in the liver to acetyl coenzyme A that enters the Krebs cycle to produce energy (Drackley, 1999; Herdt, 2000). Excessive lipid deposition that occurs during the dry period and/or severe and prolonged NEB increase the magnitude and duration of mobilization at the beginning of lactation. When mobilization is massive, NEFA can exert anorexic effects, further reducing the dry matter intake (DMI) and worsening the NEB (Ingvartsen and Andersen, 2000; Allen et al., 2009). As soon as lipomobilization becomes severe, the Krebs cycle becomes overloaded by NEFA, leading to their partial oxidation and to the diversion of acetyl coenzyme A to the production of ketone bodies (Drackley et al., 2006; Ingvartsen, 2006). Contemporaneously with the mobilization of NEFA, a massive mobilization of amino acids from muscle tissue occurs to meet the growing requirements of the mammary gland (Komaragiri and Erdman, 1997; Doepel et al., 2006), including the partial utilization of amino acids as gluconeogenic sources (Herdt, 2000). Deficiency of methionine and lysine worsens during NEB, while glutamine is one of the most scarcest amino acids in early lactation, since up to 74% of it is completely oxidized for energy production (Newsholme et al., 1985; Calder et al., 1990; Newsholme et al., 1999). Finally, mineral deficiency, particularly for calcium and magnesium, also occurs when milk production starts (Mulligan and Doherty, 2008). Calcium and magnesium deficiencies can be aggravated when the close-up rations contain excessive amounts of positively charged minerals (i.e., potassium > 1.4% on DM basis) that are known to affect mineral equilibrium in TP (Nightingale et al., 2015).

Thus, the lower efficiency of utilizing alternative energy sources (Sordillo, 2016), the direct toxic effect of certain metabolites at high concentration, and the deficiency of amino acids and minerals that are essential for immune cells (Calder, 2013) could partially explain the reduced immune competence reported with NEB conditions at the beginning of lactation (Table 2). Data indicate these encompass the impairment of phagocytosis, chemotaxis, and diapedesis of PMN (Stevens et al., 2011). In a recent ex vivo experiment (Sipka et al., 2020) data suggested a role of nutrient deficiency on the response of PMN in early lactating cows to inflammation via PI3K/AKT/mTORC1 kinase pathway. This pathway is involved in maintaining a critical balance between immune regulation and inflammation (Cobbold, 2013; Katholnig et al., 2013), and in preventing exaggerated innate immune responses (Weichhart et al., 2008; Troutman et al., 2012; Vergadi et al., 2017). Compared with a control media, PMNs from early lactating dairy cows incubated in vitro with a mixture of glucose, amino acids and insulin had a higher transcription of the anti-inflammatory cytokine IL-10 and decreased the transcription of the PICs IL12B and TNFA. When mixture of nutrients was provided in PMNs stimulated with LPS the increased transcription of the PICs was prevented (Sipka et al., 2020). Based on these data, a pivotal role of the nutrient availability could be hypothesized in the occurrence of exaggerated inflammatory events in early lactating cows. The adipokines released during NEB status could also be supposed to contribute to developing inflammatory condition, as these metabolites are known to serve as pro-inflammatory signals (Makki et al., 2013). Based on these data, a pivotal role of the nutrient availability could be hypothesized in the occurrence of exaggerated inflammatory events in early lactating cows.

Table 2.

Main metabolites related to the negative energy balance status, their trend during transition period, their effects on immune cells and their mode of action

Metabolite trend1 Cell Effect2 Mechanism References
Glucose
(-) late gestation and after calving
Macrophages, polymorphonuclear cells Immune competence (-):
Decrease of proliferation, differentiation, viability, chemotaxis and phagocytosis
Primary energy source for leukocytes. Low efficiency in alternative energy sources utilization Barghouthi et al., 1995; Gamelli et al., 1996; Pithon-Curi et al., 2004; Sordillo, 2016
Lymphocytes Immune competence (-):
Reduced mitogen-induced activation
Proliferation and secretory activities are glucose-dependent Sordillo, 2016
NEFA
(+) after calving
Polymorphonuclear cells Immune competence (-):
Inhibition of phagocytosis and synthesis of DNA
Impairment of cell viability Lacetera et al., 2004
Monocytes Immune competence (-):
Decreased diapedesis and secretion of IgM3, TNF4, and IL-65
Reduced expression of mRNA encoding for L-selectin, TNF4 and IL-65 Lacetera et al., 2004
Macrophages Inflammation (±):
Increase respiratory burst and induce apoptosis and necrosis
Increase of ROM7 production Scalia et al., 2006
Lymphocytes Immune competence (-):
Altered proliferation, decreased secretion of IgM3 and IFNγ 6
Lacetera et al., 2004
Beta-hydroxybutyrate
(+) early lactation
Macrophage, polymorphonuclear cells Immune competence (-):
Decreased chemotaxis, respiratory burst and superoxide anion production
Decrease cell viability as are useless as alternative energy source Calder et al., 1990; Hoeben et al., 1997; Sartorelli et al., 1999; Suriyasathaporn et al., 1999
Lymphocytes Immune competence (-):
Decreased blastogenesis, mitogenic responses and IgM3 production
Decrease cell viability as are useless as alternative energy source Targowski and Klucinski, 1983; Nonnecke et al., 1992; Takeuchi et al., 2010
Glutamine
(-) late gestation and early lactation
Macrophage, polymorphonuclear cells Immune competence (-):
Reduced production of IL-1B and IL-6, reduced phagocytosis
Reduced production of nitric oxide (macrophages) and superoxide anion (polymorphonuclear cells)
Glutamine availability drive those functions (high oxidation efficiency)
Glutamine is related to the production of NADPH, that is essential in the respiratory burst
Wallace and Keast, 1992; Ogle et al., 1994; Yassad et al., 1997
Lymphocytes Immune competence (-)
Reduced cell division and synthesis of lactate
Glutamine is precursor of purine and pyrimidine: essential in anabolic functions Newsholme et al., 1985; Newsholme et al., 1999; Pithon-Curi et al., 2004

1Trend of main metabolites related to immune cells functions during transition period: (-) indicates metabolites that undergoes a reduction, (+) indicates metabolites that increase during transition period.

2Effect of main metabolites related to negative energy balance condition on immune functions: (-) indicate a depressive effect, (+) indicate a stimulating effect.

3Immunoglobulins M.

4Tumor necrosis factor, alpha.

5Interleukin-6.

6Interferon, gamma.

7Reactive oxygen metabolites.

Changes in fatty acid profiles in cell membranes due to large mobilization of NEFA early post-partum may also have a role in altering the production of oxylipids that act as immune mediators (Calder, 2006; Raphael and Sordillo, 2013). In normal conditions, palmitic (C16:0) and stearic acid (C18:0) are the main saturated fatty acids (SFA) present in the cell membranes of dairy cows, while oleic (C18:1, n-9) and linoleic (C18:2, n-6) acid are the main unsaturated fatty acids (UFA) (Contreras et al., 2010). In early lactation, plasmatic amounts of SFA increase as compared with mid-lactation, accounting for >35% of total plasmatic long chain-fatty acids after calving, while UFA account for the remainder (Drackley, 1999; Douglas et al., 2007). Thus, the proportion of several SFA, including lauric (C12:0), myristic (C14:0), and C16:0, increases in cellular membranes (Drackley, 1999; Douglas et al., 2007). Conversely, the amount of UFA, particularly polyunsaturated fatty acids (PUFA) ascribed to the n-3 series as eicosatrienoic acid (ETE; C20:3, n-3), eicosapentaenoic acid (EPA; C20:5, n-3), and docosaheaenoic acid (DHA; C22:6, n-3), decreases substantially in cellular membranes as compared with mid-lactation cows (Douglas et al., 2006; Sordillo et al., 2009). Such alterations could reduce the production of pro-resolving oxylipids, which “promote resolution of inflammation, clearance of microbes, reduction of pain, and promotion of tissue regeneration via novel mechanisms” (Serhan, 2017). Besides changes in fatty acids composing the cellular membrane, the fatty acids that compose NEFA can also directly affect immune functions, as summarized in Table 3.

Table 3.

Main fatty acids, their trend during transition period, their effects on immune cells and their mode of action

Metabolite trend1 Cell Effect2 Mechanism References
Saturated fatty acids (SFA)
(±) after calving;
(+) C12:0; C14:0; C16:0
White blood cells Altered lymphocytes activation, antibodies production and inflammation driven from the inhibition of CD147 and LPS-induced TNF4 production SFA can covalently modify proteins trough fatty acylation, altering membrane fluidity, influencing how proteins anchor to plasma membrane and affecting the formation of glycolypoproteins composing lipid raft, that are involved in lymphocytes activation, antibodies production and inflammation Drackley, 1999; Raphael and Sordillo, 2013; Sordillo, 2016
Polymorphonuclear cells Inflammation (±):
Activation of NF-κB through toll-like receptors (TLRs) 2 and 4, increased apoptosis and necrosis
C12:0, C14:0 and C16:0 are PAMPs9 similar to the lipid
A associated with bacterial LPS, that activates NF-κB10 mediated gene expression, increasing inflammation and respiratory burst activity
Lee et al., 2003, 2004; Scalia et al., 2006; Shi et al., 2006; Sordillo et al., 2009; Esposito et al., 2014
Macrophages Immune competence (-):
Decreased secretion of IgM3, IFNγ 6, TNF,4 and IL-65. Altered ROM8 production
Reduced phagocytosis, diapedesis, antigen presentation and synthesis of DNA Impaired cell viability for the low efficiency in utilization as energy source
Unsaturated fatty acids (UFA)
(-) after calving; (-) C18:1 n-9; C18:2 n-6; C20:3 n-3; C20:5 n-3; C22-6 n-3
Polymorphonuclear cells Inflammation (±):
Increased ROM8 production, increased phagocytosis
Inflammation (±):
Reduced expression of mRNA for IL-10 and IL-8, stimulated expression of IL-1B and ICAM1, altered expression of cyclooxygenase2 (COX2) and TNF
C18:2 n-6 interacts with PPARG11. C20:5 n-3 and C22-6 n-3 interacts with TLR2, TLR4, PPAR and sterol response element binding protein family of transcription factors.
All these genes are involved in NF-κB10 activation and UFA could act both as pro or anti-inflammatory factors. The lack of these fatty acids in the post partal period could induce uncontrolled inflammations
Lee et al., 2003; Lee et al., 2004; Gorjão et al., 2006; Scalia et al., 2006; Lee et al., 2010; Moallem, 2018
Monocytes Immune competence (-)
Reduced antigen presentation to lymphocytes
C20:5 n-3 and C22-6 n-3 reduce MHC II12 and ICAM113 expression decreasing IFNγ 6 production Lee et al., 2003, 2004; Gorjão et al., 2006; Scalia et al., 2006
Macrophages Inflammation (-)
Increased phagocytosis, inhibition of TLRs
C20:5 n-3 and C22-6 n-3 inhibits TLR2 and TLR4 reducing expression of NF-κB10 and sorting anti-inflammatory effects Calder et al., 1990; Lee et al., 2003; Lee et al., 2004
Lymphocytes Inflammation (-)
Increase the production of IL-10, TNF, and IFNγ 6
Increase the production of IL-4 in circulating T-cells
C20:5 n-3 and C22-6 n-3 inhibits the production of prostaglandin E2, that is known to reduce IFNγ 6 synthesis and lymphocytes proliferation Hughes and Pinder, 2000; Trebble et al., 2003; Gorjão et al., 2006; Brassard et al., 2007

1Trend of main fatty acids during transition period: (-) indicates fatty acids that undergoes a reduction and (±) indicates those that increase during transition period in plasma; (-) indicates fatty acids that undergoes a reduction and (+) indicates those that increase during transition period in plasmatic membranes.

2Effect of main fatty acids on immune functions: (-) indicate a depressive effect, (+) indicate a stimulating effect.

3Immunoglobulins M.

4Tumor necrosis factor, alpha.

5Interleukin-6.

6Interferon, gamma.

7Cluster of differentiation 14.

8Reactive oxygen metabolites.

9Pathogen-associated molecular patterns.

10Nuclear factor-κB.

11Peroxisome proliferation-activated receptor, gamma.

12Major histocompatibility complex, II.

13Intercellular adhesion molecule.

Oxidative stress status

Oxidative stress has commonly been reported during TP of dairy cows (Bionaz et al., 2007; Celi, 2011; Celi and Gabai, 2015). Oxidative stress consists in a loss of reduction-oxidation (redox) homeostasis and in a consequent damage to various organelles and tissues (Sordillo, 2016). Such condition results from the accumulation of excessive amounts of oxidants, such as ROM and reactive nitrogen species, leading to the depletion of antioxidant defenses. The main components of ROM include oxygen ions (i.e., superoxide anion), free radicals (i.e., hydroxyl radical), and hydroperoxides (i.e., lipid and hydrogen peroxides), while nitric oxide can be considered as the main reactive nitrogen specie (Cipak Gasparovic et al., 2017). Increased in oxidative stress in TP can be the consequence of changes in metabolic adaptation of cows that occurs during this phase, as summarized in Table 4.

Table 4.

Main biological process related to calving and involved in the development of the oxidative stress status in dairy cows during the transition period: their site of occurrence, their biological function and the mechanism by which they contribute in altering redox status

Biological process Site Function Mechanism References
Cellular respiration
Colostrogenesis
All tissues
Mammary gland
Conversion of nutrient to energy aimed to face requirements for milk synthesis and secretion ROM1 are formed in mitochondria as byproduct of electron transport chain and their massive production deplete antioxidant systems Bell, 1995; Hodgkinson et al., 2007; Sordillo et al., 2007; Valko et al., 2007; Sordillo and Aitken, 2009
Fatty acid metabolism Liver ROM1 are formed in peroxisome consequently to beta-oxidation Drackley, 1999; Grum et al., 2002
Respiratory burst Phagocytes Kill microbial pathogens during inflammation ROM1 are formed in phagocytes from NADPH2 oxidase system;
Macrophages produce nitric oxide as a cytotoxic agent;
Neutrophils releases hypochlorous acid through the myeloperoxidase activity, generating di-tyrosil residues from serum albumin
Babior, 1999; Dedon and Tannenbaum, 2004; Bordignon et al., 2014
Oxylipid biosynthesis Cellular membranes Regulation of inflammatory process and immune response Lipid peroxide and superoxide anion are byproduct of the oxidative reactions of PUFA3 triggered by COX4, LOX5 or cytochrome P450 Raphael and Sordillo, 2013
Reduced dietary intake Gut, tissue and blood Adaptation to physiological imbalance related to calving Reduced plasma concentrations of serum-derived micronutrients (i.e., vitamins and minerals) with antioxidant properties Spears and Weiss, 2008; Sordillo and Mavangira, 2014
Increased utilization of antioxidant systems Blood and tissues Facing metabolic stress occurred in transition period;
Satisfying increased vitamins requirements of growing fetus
Lipomobilization and triglycerides deposition Liver cells Supply to growing energy demand Liver damage and dysfunction reduce plasma cholesterol and high-density lipoproteins, which bound paraoxonase, an important antioxidant enzyme, to the blood Turk et al., 2005
Inflammatory status Face tissue damages and infections related to calving

1Reactive oxygen metabolites.

2Nicotinammide adenine dinucleotide phosphate.

3polyunsaturated fatty acids.

4Cyclooxygenase.

5Lipoxigenase.

Oxidative stress causes damage to DNA, proteins, and lipids and can thus contribute to dysfunction of the immune system (Sordillo et al., 2009). Proteins are highly susceptible to oxidative stress, and their oxidation alters the function of receptors, transporters, or structural elements involved in the immune response (Celi and Gabai, 2015). As a significant amount of protein functions as enzymes, the effect of oxidation on one molecule is greater than stoichiometric, as enzymes serve as catalytic mediators in cells (Dalle-Donne et al., 2005). Furthermore, oxidized proteins can generate new antigens, inducing or exacerbating the inflammatory response (Halliwell and Whiteman, 2004). Oxidation of lipids is involved in immune dysfunctions as immune cells are highly susceptible to lipid peroxide chain reaction, due to the high PUFA content of their membranes (Calder, 2008). Lipid peroxidation generates the reactive electrophile species malondialdehyde, that cause toxic stress in cells (Del Rio et al., 2005). Damage includes altered cellular functions and signal transduction, which may exacerbate the inflammatory response and contribute to the dysfunction of the vascular endothelium in TP (Lacetera et al., 2005; Sordillo et al., 2007; Sordillo et al., 2009).

Oxidative stress also increases the pro-inflammatory phenotype of immune cells acting on redox-regulated pro-inflammatory factors (Cao et al., 2000; Weaver et al., 2001; Sordillo et al., 2009), and is also related to the up-regulation of pro-inflammatory genes related to leukocyte extravasation (i.e., intracellular adhesion molecule-1 and vascular adhesion molecule-1) that are known to induce pathologic pro-inflammatory reactions (Maddox et al., 1999; Sordillo et al., 2008). Oxidants can also serve as messengers in a wide range of signaling pathways, including pathways related to nuclear factor-κ beta (NF-κB) and mitogen activated protein kinase, that are involved in the production of cytokines, oxylipids, and immunoregulatory factors (Finkel, 2011; Brown and Griendling, 2015; Serhan, 2017). Activation of NF-κB via oxidative stress is the main cause of the greater production of TNF by monocytes of transition cows as compared with monocytes of mid-lactating cows (Sordillo et al., 1995). This is consistent with the reverse relationship between TNF production by PMNs and the availability of antioxidants highlighted by O’Boyle et al. (2006) in transition cows.

Immune dysfunction and the incidence of disease in transition cows

The occurrence of disease is known to increase during the TP, which impairs performance in the following lactation (Pinedo et al., 2010; Trevisi et al., 2011b). Multiple diseases tend to occur during the TP in dairy cows rather than isolated diseases (Sordillo, 2016). The occurrence of one of these diseases (primary) significantly increases the risk of developing secondaries diseases, with substantial economic impact on the dairy industry (Curtis et al., 1985; Ingvartsen, 2006). The relationship between the various diseases typical of the TP and immune dysfunction is complex and has not been fully elucidated.

Examples of metabolic diseases related to TP are fatty liver, milk fever, retained placenta (RP), ketosis, left displacement of abomasum (LDA), and lameness (Kelton et al., 1998; Ingvartsen, 2006). As most of these metabolic diseases occur at the beginning of lactation whereas immune dysfunction seems to begin earlier, it is possible that several of the factors affecting immunocompetence reviewed in the previous sections are also involved in the occurrence of metabolic disorders. Most of metabolic disorders are known to further impair the PI conditions, increasing the risk ratio of secondary diseases, either metabolic or infectious, as summarized in Table 5. For example, excessive deposition of triglycerides in the liver of dairy cows has been suggested to increase the production of haptoglobin. In this situation, an increase of haptoglobin production is in direct response to a lipid infiltration in the liver occurred during dry period, which acts as a harmful stimulus for parenchymal liver cells (Katoh et al., 2002), and liver lipidosis could thus increase the risk of developing metabolic inflammations in early lactation. Conversely, the occurrence of a severe acute phase reaction in the liver during the TP (i.e., due to an endotoxemia) has been reported to reduce the DMI, thus promoting liver lipidosis through increasing the mobilization of NEFA (Bobe et al., 2004; Bertoni et al., 2006a). In both cases, the negative effect of lipid mobilization-related metabolites on immune response of leukocytes and their dysregulation consequential to the severe acute phase response, could account for the increased mastitis and metritis incidence reported after fatty liver (Van Winden and Kuiper, 2003; Ametaj et al., 2005).

Table 5.

Time course relationship between main transition period diseases, their effect on physiological imbalance conditions and possible secondary diseases triggered from it

Primary Effect on physiological imbalance Secondary References
Retained placenta Raise of PIC1; depression of DMI2; increase of NEB3 and lipomobilization; acute phase response Mastitis, ketosis Dohoo and Martin, 1984a; Emanuelson et al., 1993; Trevisi and Bertoni, 2008
Ketosis Ketone bodies production; depression of DMI2; increase of NEB3; impairment of immune functions; decrease of vitamin A and increase of bilirubin Mastitis, metritis, left displacement of abomasum Oltenacu and Ekesbo, 1994; Duffield, 2000; Rodriguez-Jimenez et al., 2018
Milk fever Depression of DMI2; increase of NEB3 and lipomobilization; decreased smooth muscle function (essential for digestive tract); increased cortisol secretion Ketosis; left displacement of abomasum; retained placenta Dohoo and Martin, 1984b; Loor et al., 2013; Esposito et al., 2014
Left displacement of abomasum Depression of DMI2; increase of NEB3 and lipomobilization Ketosis Dohoo and Martin, 1984a
Fatty liver Increased haptoglobin production and inflammation; increased PIC1 production; depression of DMI2; increase of NEB3 and lipomobilization; acute phase response Metritis, laminitis, displacement of abomasum, mastitis Van Winden and Kuiper, 2003; Ametaj et al., 2005; Bertoni et al., 2006a
Infectious diseases Decreased glutamine concentrations due to tissue and immune cells consumption; repression of genes related to inflammatory response and PMN4 chemotaxis; greater expression of mRNA for anti-inflammatory genes and oxidative stress Metritis, mastitis, infectious diseases Holtenius et al., 2004; Moyes et al., 2009

1Pro-inflammatory cytokines.

2 Dry matter intake.

3Negative energy balance.

4Polymorphonuclear cells.

Different from metabolic disorders, increased incidence of infectious disease at the beginning of lactation could be clearly interpreted as a direct effect of impaired immune competence around calving (Ingvartsen, 2006). Previous studies found that cows that developed endometritis and metritis had reduced prepartal leukocytes phagocytosis (Kim et al., 2005), a reduced glycogen concentration in circulating neutrophils at calving (Galvão et al., 2010), and reduced TNF expression in monocytes after stimulation with E. coli (Galvão et al., 2012). Furthermore, some modifications of immune function detected in PMNs during TP (e.g., reduced chemotaxis, delayed migration, reduced antimicrobial activity, and ROM production) are also consistent with the increased susceptibility to mastitis, endometritis, and metritis reported in transition cows, and may also account for the escalated severity of diseases registered as compared with mid-lactating animals (Hill, 1981; Cai et al., 1994; Shuster et al., 1996).

Nutritional Strategies to Prevent Immune Dysfunction in the Transition Period

Strategies to improve immune functions of dairy cows during the TP include management adjustments aimed to minimize the environmental stressors (i.e., accurate dry-off routine, optimal hygienic conditions, good animal well-being, calm and easy parturition) during this phase and nutritional strategies aimed to sustain the immune cells. Management and environmental strategies have been widely reviewed elsewhere (Aleri et al., 2016), while this review will be focused mainly on nutritional strategies to optimize dairy cows immunity. These should be focused on reducing the degree of PI early post-partum, as this condition could be referred to as a common denominator between immune dysfunction and an increased likelihood of disease. Provision of a balanced and healthy diet should be considered as a focal point in this respect (Bertoni et al., 2015; Bertoni et al., 2016). Although optimal dietary concentrations of fermentable carbohydrate, fiber, sugar, and starch for transition cows are still being defined, NRC provided guidelines for diet formulations that fit most nutritional requirements of this phase (NRC, 2001).

Management of the energy balance through modulating diet concentration

Avoiding excessive lipid deposition during the dry period and minimizing NEFA mobilization processes in early lactation is crucial to reduce NEB-related dysfunctions of leukocytes. Thus, monitoring BCS of dairy cows and applying an energy plan aimed to decrease the early lactation-NEB are essential points to consider during the TP. Dairy cows should enter the dry period with a BCS of 3.5 out of 5 (Agricultural Development and Advisory Service, 1986), in order to minimize the amount of stored triglycerides. An energy content of 1.25 Mcal/kg DM is considered the ideal net energy for lactation (NEL) that should be provided between dry-off and 3 wk prior to parturition to minimize the BCS gain during the dry period (NRC, 2001). Such a low energy diet should be provided with a high-fiber content, aimed to increase the rumen capacity so to help maximize feed intake early post-partum (Contreras et al., 2004; Esposito et al., 2014).

An energy content of 1.54–1.62 Mcal/kg DM is considered to be the ideal NEL value that should be provided during the last 3 wk prior to parturition to meet the growing requirements of the fetus and ensure a BCS of approximately 3.5 at calving (Overton and Waldron, 2004). This phase is also fundamental in allowing a smooth increase of dietary fermentable starch till enriching early lactation-levels, as a sudden increase of starches in the diet could induce a reduction of rumen pH resulting in acidosis condition. Rumen acidosis could alter rumen fermentations and the permeability of epithelium (Minuti et al., 2015b), reducing DMI in early lactation and increasing the severity of NEB conditions in this phase (Allen et al., 2009). Increasing non-fiber carbohydrates (NFC) or highly digestible neutral detergent fiber (NDF) levels since 3 wk prior to calving (in rations with adequate physical effective NDF [peNDF] amounts) improves the development of rumen papillae and ameliorates the VFA absorption, minimizing the likelihood of developing rumen acidosis in early lactation (Rabelo et al., 2003). Furthermore, such a strategy increases levels of propionate, improves gluconeogenesis, and bacterial protein synthesis at rumen level (Overton and Waldron, 2004), sorting positive effects on glucose availability and reducing liver triglycerides content, with a reduction of the incidence of metabolic disorders and reproductive issues in early lactation (Gong et al., 2002). Nevertheless, some studies reported this increased energy concentration to be associated with an increased susceptibility to the inflammatory response at calving time (Janovick et al., 2011; Graugnard et al., 2013), suggesting a condition that mimics metaflammation in humans (Egger and Dixon, 2009).

Avoiding excessive amounts of NFC and highly fermentable NDF is pivotal during the first month of lactation, as one of the limiting factors for feed intake is the chemical effect of metabolites related to the oxidation of fuels in this phase, and excessive propionate productions could directly contribute in reducing DMI (Choi and Allen, 1999). Conversely, rumen availability of starch, NFC, and fermentable fiber should be incremental, likely since the second to third month of lactation only, when the peak of lactation occurs and cows have overcome the NEB condition. In fact, feed intake is limited from gut fill in this phase, and increased production of propionate, driven from the increased fermentable substrate, increases insulin concentration and reduces lipomobilization without affecting DMI (Drackley, 1999).

Supplementation of lipids

Fat supplementation may have a main role in affecting immune functions during TP. Fatty acid composition of lipid sources fed during the TP affect the lipid composition of cell membranes and the NEFA profile in blood (Calder, 2002; Calder, 2008). The modulatory effect of fatty acids on immune functions is well-known (Table 3). Thus, an effective strategy to modulate the immune response in TP could be the administration of rumen-protected PUFA aimed to shift the fatty acid composition of cell membranes (Table 6). N-3 PUFA and conjugated linoleic acid (CLA) are known to affect the inflammatory response and modulate the expression of nuclear transcription factors, such as peroxisome proliferation-activated receptors (PPARs) and NF-kB (Bertoni et al., 2016), that are known to play an important role in the regeneration of tissues, differentiation, insulin signaling, overall lipid metabolism, and immune response (Bionaz et al., 2013a; Bionaz et al., 2013b). Ensuring a n-6:n-3 ratio equal to 2:1 has been suggested as the ideal value to provide in the ration (Moallem, 2018). A relevant role of dietary n3-PUFA in modulating the activity of immune cell and improving the immune response of dairy cows is supported by a large number of studies, as previously reviewed (Moallem, 2018). The response to n-3 supplementation is however dependent on the dose and physical form of the n-3 source used (Michael A. Ballou et al., 2009).

Table 6.

Main nutritional supplements aimed to modulate dairy cow’s immunity during transition period and their mode of action on immune cells

Supplement Effect Mechanism References
n-3 PUFA
(C20:5 n-3; C22:6 n-3)
Inflammation (-)
Mitigation of pro-inflammatory response (reduced TNF1 and IL-62 production) of immune cells to high NEFA3 concentrations (as those observed with high lipomobilization)
Immune competence (±)
Improved lymphocytes and mononuclear cells function in transition period: improved cell-mediated immune response; increased phagocytosis and decreased oxidative stress damages in PMN4, leading to improved uterine and udder health in early lactation; modified mononuclear cells/PMN4 ratio
Decrease the amount of arachidonic acid in cell membranes, shifting the oxylipid profile: increased production of resolvins, protectins and lipoxins/ reduced production of PGF2A8 from endometrium (that exert pro-inflammatory effect) and of prostaglandin E2 (that impairs IFNγ synthesis and lymphocytes proliferation).
Decreased expression of adhesion molecules involved in inflammatory interactions between leukocytes and endothelial cells;
Decreased liver ketogenesis;
Direct action on Toll-like receptor 4 inhibiting the LPS-induced NF-κB activation reduces the expression of transcription factors and PICs5.
Activates PPARG reducing the production of TNF by leukocytes and partially reversing the insulin resistance caused by this cytokine, thus increasing the glucose available for leukocytes
Kushibiki et al., 2001; Lee et al., 2003; Trebble et al., 2003; Lessard et al., 2004; Mattos et al., 2004; Brassard et al., 2007; Ballou et al., 2009b; Trevisi et al., 2011b; Contreras et al., 2012b; Contreras et al., 2012a; Bionaz et al., 2013a; Dirandeh et al., 2013; Minuti et al., 2015a
n-6 PUFA (C18:2 cis-9 trans-11 and trans-10 cis-12) Inflammation (-)
Increased albumin and cholesterol concentrations in early lactation
Modulation of the NF-κB9 inhibiting the LPS10-induced inflammatory activity in macrophages Cheng et al., 2004; Trevisi and Bertoni, 2008; Silvestre et al., 2011
Immune competence (±)
Enhanced neutrophils function in transition period
Protection of paraoxonase against oxidative inactivation, reducing oxidative stress status;
Increased secretion of VLDL11 and apolipoprotein B100 (involved in lipid redistribution through tissues), decreasing cellular accumulation of triglycerides from palmitic acid, increasing DMI12, reducing NEB13 and lipomobilization (lower NEFA3 and BHB14 levels in blood)
Vitamin A Prevention of oxidative stress status β-carotene prevents fatty acid peroxidation chain reaction Sordillo, 2016
Vitamin C Mitigation of oxidative stress status Ascorbic acid act as a radical scavenger Sordillo, 2016
Vitamin E Mitigation of oxidative stress status α-tocopherol disrupts fatty acid peroxidation chain reaction Trevisi et al., 2011b; Sordillo, 2016
Vitamin D3 Inflammation (-)
Down-regulation of PICs5 in favor of AICs6 production
Inhibits Th1 sub-family of lymphocytes in favor of Th 2 Bertoni et al., 2015
Selenium Mitigation and prevention of oxidative stress status Active component of thioredoxin reductase and glutathione peroxidase enzymatic complexes, that controls redox signaling and reduce ROM15 production Sordillo, 2016
Copper Mitigation and prevention of oxidative stress status Active component of ceruloplasmin, that exert oxidase activity as peroxyl radical scavenger, and superoxide dismutase, that converts cytosol superoxide to H2O2 Osorio et al., 2016; Sordillo, 2016
Zinc Mitigation and prevention of oxidative stress status Active component of superoxide dismutase, that converts cytosol superoxide to H2O2, and metallothionein, which is a cysteine-rich radical scavenger Sordillo, 2016
Manganese Mitigation of oxidative stress status Active component of superoxide dismutase that converts cytosol superoxide to H2O2 Osorio et al., 2016; Sordillo, 2016
Iron Mitigation of oxidative stress status Active component of catalase, that converts H2O2 to water Sordillo, 2016
Choline Reduced hepatic triglycerides abundance and fat infiltrations; mitigation of oxidative stress status Quasi-vitamin that is a structural component of phosphatidylcholine, that is required for the synthesis of VLDL11 by the liver; important sources of the intracellular antioxidants glutathione and taurine Esposito et al., 2014; Zhou et al., 2016
Methionine and lysine Reduced hepatic triglycerides abundance and fat infiltrations; mitigation of oxidative stress status They affect mitochondrial beta-oxidation of fatty acids in liver and export of triglycerides as VLDL11; important sources of the intracellular antioxidants glutathione and taurine Esposito et al., 2014; Zhou et al., 2016
Acetylsalicylic acid Inflammation (-):
Reduced positive APPs7 abundance and improved liver synthesis
Inhibition of cyclooxygenase enzymatic complex reducing the synthesis of pro-inflammatory oxylipids Trevisi et al., 2003; Bertoni et al., 2007; Trevisi and Bertoni, 2008; Shin et al., 2010; Kim et al., 2012; Grossi et al., 2013
Hottuynia cordata extract Inflammation (-):
Reduced production of TNF1 and pro-inflammatory oxylipids
Shin et al., 2010; Kim et al., 2012
Aloe arborescens Mill. extract Inflammation (-):
Increased negative APPs7 concentration
Reduced mobilization of body fats and improved liver synthesis Trevisi et al., 2013, 2017

1Tumor necrosis factor.

2Interleukin-6.

3Non-esterified fatty acids.

4Polymorhonuclear cells.

5Pro-inflammatory cytokines.

6Anti-inflammatory cytokines.

7Acute phase proteins.

8Prostaglandin 2, alpha.

9Nuclear factor κB.

10Lypopolysaccharides.

11Very low-density lipoproteins.

12Dry matter intake.

13Negative energy balance.

14Beta-hydroxybutyrate.

15Reactive oxygen metabolites.

Providing a high-fat diet to dairy cows during the dry period has also been hypothesized as a strategy to induce the peroxisomal beta-oxidation process (Drackley, 1999), reducing the incidence of diseases and liver lipidosis in the peripartum period (Bertoni et al., 1989; Drackley, 1999). Thus, a positive effect on leukocytes function through mitigating NEB-related dysfunctions could be expected. In comparison to mitochondrial beta-oxidation, peroxisomal beta-oxidation is catalyzed by an oxidase (Acyl-CoA-oxidase) that produces hydrogen peroxide rather than reduced NAD, which releases a larger amount of heat and less reduced cofactors (Drackley, 1999). Moreover, peroxisomes do not contain any electron chain linked to ATP production and thus this process is not regulated by the energy demand of the cell. Consequently, induction of peroxisomal beta-oxidation could provide an aid to the mitochondrial pathway during the NEB condition, when a NEFA overflow occurs (Drackley, 1999). Such a strategy has been suggested to reduce the hepatic accumulation of triglycerides at calving, thus decreasing the likelihood of developing fatty liver syndrome (Bertoni et al., 1989), and could also be effective in mitigating any negative effects sorted by NEFA on immune cells. Large transcriptomics analysis of the liver of dairy cows that were fed-restricted or overfed during the close-up period appear to support such hypothesis (Shahzad et al., 2014). The data indicated that fed-restricted cows had higher circulating NEFA prepartum and this induced fatty acid oxidation via activation of PPARs. Nevertheless, this hypothesis still lacks scientific evidence where cows are supplemented fat before calving. In fact, from the best of our knowledge, the induction of peroxisomal beta-oxidation driven by administering high-fat diets to dairy cows during the dry period has never been demonstrated in any experimental study to date.

Supplementation of antioxidants

Other than the increased production of oxidant species, altered redox homeostasis that occurs in TP is triggered by the consumption or lack of a proper antioxidant system. An effective strategy to reduce negative effects of oxidative stress status on immunity could be the supplementation of minerals and vitamins involved in the antioxidant system during the late gestation and early lactation period (Table 6). Vitamins and trace minerals have critical roles in a variety of physiological process, particularly antioxidant defense, and a deficiency may depress immunity especially in peripartal or transition cows (Spears and Weiss, 2008). Inflammatory-like status that commonly occurs after calving is known to reduce circulating minerals (i.e., zinc, iron, and copper), sequestering them in liver (Osorio et al., 2016) and thus contributing to the development of an oxidative stress condition in early lactation that negatively affects WBC function.

Methyl donor supplementation

Methyl donor species are involved in lipid metabolism and lipoprotein synthesis. In dairy cows, their availability is limited by the extensive degradation in the rumen (Zhou et al., 2016). At the beginning of lactation, the availability of such compounds is suddenly reduced, as milk from dairy cows is high in methylated compounds and the levels secreted into milk are maintained even at the cost of depleting liver tissue reserves (Pinotti et al., 2002; Zhou et al., 2016). Lower levels of methyl donors negatively affect lipid metabolism, which increases NEFA accumulation and ketone body production. This condition will reduce feed intake, further increasing lipomobilization and enhancing the negative effects sorted by NEFA on WBC. Thus, supplementation of methyl donors during late gestation and early lactation phases could ameliorate the utilization of lipid sources, reducing the likelihood of developing ketosis and liver lipidosis in early lactation and mitigating the negative effects of excessive lipomobilization on immune cells. Furthermore, methyl donors are important sources of the intracellular antioxidants glutathione and taurine (Zhou et al., 2016) and thus their administration in TP could mitigate oxidative stress, which would ameliorate leukocyte functions and reduce the degree of inflammation (Table 6).

Anti-inflammatory product supplementation

Nutritional additives could be used in TP to transform the animal from a pro- to an anti-inflammatory phenotype to a certain extent (Bertoni et al., 2015). Among these, vitamin D3 and plant extract could provide an aid in modulating over-exuberant inflammatory responses during calving. Acetylsalicylic acid is a common drug, formerly derived from plants, that has been successfully used in dairy cows to attenuate their systemic response to inflammation during TP (Bertoni et al., 2004; Trevisi and Bertoni, 2008; Bertoni et al., 2013). Providing 15 g/d of acetylsalicylic acid to dairy cows for 3 to 4 d after calving reduced the severity of inflammation and the incidence of clinical diseases in early lactation, thus exerting positive effects on their milk yield and fertility (Trevisi and Bertoni, 2008), likely because of its positive impact on the resolution pathways of inflammation (Serhan, 2017).

Other plant extracts, as Hottuynia cordata supercritical extract, have been suggested to be potential anti-inflammatory drugs, although the effects of Hottuynia cordata have not been evaluated in dairy cows in TP. However, in murine models, the extract reduced TNF production and inhibited pro-inflammatory oxylipids synthesis by cyclooxygenase (COX) enzymatic complex (Shin et al., 2010; Kim et al., 2012). Aloe arborescens Mill. has been successfully utilized to modulate the inflammatory status of transition cows (Trevisi et al., 2013b). Administration of 150 g d−1 of Aloe extract during the 4 wk around calving did not affect the production of positive APPs, but reduced mobilization of body fats, improved liver metabolism, and mitigated the negative APPs drop after calving (i.e., albumin, PON, cholesterol, lipoproteins and retinol binding proteins).

Finally, treatment with cytokines during TP has been hypothesized to be a potential strategy to reduce the severity of inflammatory phenomena. In an in vitro model of swine alveolar macrophages, 0.5 UI/mL of interferon-alpha reduced the expression of the TNF gene (Amadori, 2007), suggesting it could be a potential strategy to mitigate inflammatory status during TP of dairy cows. Nevertheless, daily oral administration of either 10 or 0.5 IU/kg BW of interferon-alpha to dairy cows during TP increased the severity of inflammatory phenomena after calving (Trevisi et al., 2009). Such an effect could be driven by lymphocytes in the rumen liquor of dairy cows, that could have counteracted and inverted the antiphlogistic signal of interferon-alpha.

Conclusions

Proper function of the innate immune system is essential to ensure protection against pathogens and to avoid the occurrence of uncontrolled inflammations. Thus, mitigating the immune dysfunction that occurs during TP in dairy cows is a pivotal goal in preventing infectious and metabolic diseases typical of early lactation. Although there is a vast amount of scientific literature regarding this topic, the cause of immune dysfunction in TP remains unclear. The sudden metabolic changes occurring during this phase make it challenging to identify the driving mechanism of immune alterations. It is very likely that there is not a single cause, but multiple factors are at play. The lack of clarity on the cause of immune dysfunction is the main reason it is still a major issue in early postpartum cows. The physiological adaptation to lactation, mostly driven by hormonal changes, and needed dietary alterations to face the tremendous increase in requirements during the onset of lactation can be also additional causes of the immune dysfunctions. This is probably more acute during PI. The adoption of nutritional strategies and the supplementation with feed additives aimed to improve white blood cells functions and to exert an anti-inflammatory action could mitigate the negative effects related to immune dysfunctions in transition dairy cows. We can conclude that, although feed additives and nutritional strategies could be effective in mitigating immune alterations during TP, the adoption of proper management practices aimed to mitigate the risk of a PI from dry-off to early lactation, could be the most effective strategy for improving the immune competence in the peripartum period.

Acknowledgments

Research in the Department of Animal Sciences, Food and Nutrition is supported in part by CREI (Romeo and Enrica Invernizzi Research Center of the Università Cattolica del S. Cuore funded by the “Fondazione Romeo ed Enrica Invernizzi”, Milan, Italy) and in part by the Ministero Italiano delle Politiche Agricole, Alimentari ed Ambientali (MIPAAF). The authors wish to convey sincere thanks and appreciation to professor Gianfranco Gabai and to doctor Andrea Minuti for precious suggestions provided during paper writing. Furthermore, the authors wish to convey a special thanks to the two anonymous reviewers, who improved substantially the quality of this review with their comments.

Glossary

Abbreviations

APP

acute phase proteins

CLA

conjugated linoleic acid

COX

cyclooxygenase

DHA

docosaheaenoic acid

DMI

dry matter intake

EPA

eicosapentaenoic acid

ETE

eicosatrienoic acid

GH

growth hormone

IFNγ

interferon gamma

IGF-1

insulin-like growth factor-1

LDA

left displacement of abomasum

NDF

neutral detergent fiber

NEB

negative energy balance

NEFA

nonesterified fatty acids

NEL

net energy for lactation

NFC

non-fiber carbohydrates

NF-κB

nuclear factor-κ beta

PPARs

peroxisome proliferation-activated receptors

peNDF

physical effective NDF

RP

retained placenta

PUFA

polyunsaturated fatty acids

SFA

saturated fatty acids

PEB

positive energy balance

SAA

serum amyloid alpha

PON

paraoxonase

TNF

tumor necrosis factor

PI

physiological imbalance

PICs

pro-inflammatory cytokines

TP

transition period

PMN

polymorphonuclear

Conflict of interest statement

The authors declare no real or perceived conflicts of interest.

Literature Cited

  1. Agricultural Development and Advisory Service 1986. Condition scoring of dairy cows. In: Publication 612. Ministry of Agriculture, Fisheries Food, Lion House, Alhwick, Northumberland (UK) Available from: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/69371/pb6492-cattle-scoring-diary020130.pdf. [Google Scholar]
  2. Aleri J. W., Hine B. C., Pyman M. F., Mansell P. D., Wales W. J., Mallard B., and Fisher A. D.. 2016. Periparturient immunosuppression and strategies to improve dairy cow health during the periparturient period. Res. Vet. Sci. 108:8–17. doi: 10.1016/j.rvsc.2016.07.007. [DOI] [PubMed] [Google Scholar]
  3. Allen M. S., Bradford B. J., and Oba M.. 2009. Board Invited Review: The hepatic oxidation theory of the control of feed intake and its application to ruminants. J. Anim. Sci. 87:3317–3334. doi: 10.2527/jas.2009-1779. [DOI] [PubMed] [Google Scholar]
  4. Amadori M. 2007. The role of IFN- α as homeostatic agent in the inflammatory response: a balance between danger and response? J. Interf. Cytokine Res. 27:181–190. doi: 10.1089/jir.2006.0110. [DOI] [PubMed] [Google Scholar]
  5. Ametaj B. N., Bradford B. J., Bobe G., Nafikov R. A., Lu Y., Young J. W., and Beitz D. C.. 2005. Strong relationships between mediators of the acute phase response and fatty liver in dairy cows. Can. J. Anim. Sci. 85:165–175. doi: 10.4141/A04-043. [DOI] [Google Scholar]
  6. Babior B. M. 1999. NADPH oxidase: an update. Blood 93:1464–1476. doi: 10.1182/blood.V93.5.1464. [DOI] [PubMed] [Google Scholar]
  7. Ballou M. A., Gomes R. C., and DePeters E. J.. 2009. Supplemental fish oil does not alter immune competence or the pathophysiological response to an intramammary infusion of endotoxin in peri-partum multiparous Holstein cows. J. Dairy Res. 76:165–172. doi: 10.1017/S0022029908003804. [DOI] [PubMed] [Google Scholar]
  8. Ballou M. A., Gomes R. C., Juchem S. O., and DePeters E. J.. 2009. Effects of dietary supplemental fish oil during the peripartum period on blood metabolites and hepatic fatty acid compositions and total triacylglycerol concentrations of multiparous Holstein cows. J. Dairy Sci. 92:657–669. doi: 10.3168/jds.2008-1196. [DOI] [PubMed] [Google Scholar]
  9. Barghouthi S., Everett K. D., and Speert D. P.. 1995. Nonopsonic phagocytosis of Pseudomonas aeruginosa requires facilitated transport of D-glucose by macrophages. J. Immunol. 154:3420–3428. [PubMed] [Google Scholar]
  10. Bauman D. E., and Currie W. B.. 1980. Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis. J. Dairy Sci. 63:1514–1529. doi: 10.3168/jds.s0022-0302(80)83111-0. [DOI] [PubMed] [Google Scholar]
  11. Bell A. W. 1995. Regulation of organic nutrient metabolism during transition from late pregnancy to early lactation. J. Anim. Sci. 73:2804–2819. doi: 10.2527/1995.7392804x. [DOI] [PubMed] [Google Scholar]
  12. Bertoni G., Bakudila A. M., and Trevisi E.. 2007. Effect of acetylsalicylate treatment in dairy cows around calving on metabolism and performance. In: 13th International Conference on Production Diseases in Farm Animals. Leipzig. p. 229.
  13. Bertoni G., Grossi P., and Trevisi E.. 2013. Use of nutraceuticals for improving animal health during the transition period of dairy cows. In: Makkar H. P. S., editor. Enhancing animal welfare and farmer income through strategic animal feeding. Some case studies. Rome: Food and Agriculture Organization of the United Nations (FAO) p. 79–83. [Google Scholar]
  14. Bertoni G., Maianti M. G., and Trevisi E.. 1989. Effetti a livello ematico e produttivo della somministrazione di grasso animale a bovine “ante” e “post partum.” Zootec. e Nutr. Anim. 15:341–354. [Google Scholar]
  15. Bertoni G., Minuti A., and Trevisi E.. 2015. Immune system, inflammation and nutrition in dairy cattle. Anim. Prod. Sci. 55:943. doi: 10.1071/AN14863. [DOI] [Google Scholar]
  16. Bertoni G., Trevisi E., Calamari L., and Bionaz M.. 2006a. The inflammation could have a role in the liver lipidosis occurrence in dairy cows. In: Joshi N. P. and Herdt T. H., editors. Production Diseases in Farm Animals. Wageningen (The Netherlands): Wageningen Academic Publishers; p. 157–158. [Google Scholar]
  17. Bertoni G., Trevisi E., Han X., and Bionaz M.. 2008. Effects of inflammatory conditions on liver activity in puerperium period and consequences for performance in dairy cows. J. Dairy Sci. 91:3300–3310. doi: 10.3168/jds.2008-0995. [DOI] [PubMed] [Google Scholar]
  18. Bertoni G., Trevisi E., Houdijk J., Calamari L., and Athanasiadou S.. 2016. Welfare is affected by nutrition through health (immune function and inflammation). In: Phillips C. J. C., editor. Nutrition and the welfare of farm animals. Springer International Publishing, Switzerland: p. 85–114. [Google Scholar]
  19. Bertoni G., Trevisi E., and Piccioli-Cappelli F.. 2004. Effects of acetyl-salicylate used in post-calving of dairy cows. Vet. Res. Commun. 28 (Suppl 1):217–219. doi: 10.1023/b:verc.0000045410.86004.03. [DOI] [PubMed] [Google Scholar]
  20. Bertoni G., Trevisi E., Risè P., and Galli C.. 2006b. Variazione degli acidi grassi omega-3 ed omega-6 nel plasma di bovine da latte durante il periparto. Prog. Nutr. 8:22–27. [Google Scholar]
  21. Bertoni G., and Trevisi E.. 2013. Use of the liver activity index and other metabolic variables in the assessment of metabolic health in dairy herds. Vet. Clin. North Am. Food Anim. Pract. 29:413–431. doi: 10.1016/j.cvfa.2013.04.004. [DOI] [PubMed] [Google Scholar]
  22. Bertulat S., Fischer-Tenhagen C., Suthar V., Möstl E., Isaka N., and Heuwieser W.. 2013. Measurement of fecal glucocorticoid metabolites and evaluation of udder characteristics to estimate stress after sudden dry-off in dairy cows with different milk yields. J. Dairy Sci. 96:3774–3787. doi: 10.3168/jds.2012-6425. [DOI] [PubMed] [Google Scholar]
  23. Bionaz M., Chen S., Khan M. J., and Loor J. J.. 2013a. Functional role of PPARs in ruminants: potential targets for fine-tuning metabolism during growth and lactation. PPAR Res. 2013:1–28. doi: 10.1155/2013/684159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Bionaz M., Hausman G. J., Loor J. J., and Mandard S.. 2013b. Physiological and nutritional roles of PPAR across species. PPAR Res. 2013:807156. doi: 10.1155/2013/807156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bionaz M., Trevisi E., Calamari L., Librandi F., Ferrari A., and Bertoni G.. 2007. Plasma paraoxonase, health, inflammatory conditions, and liver function in transition dairy cows. J. Dairy Sci. 90:1740–1750. doi: 10.3168/jds.2006-445. [DOI] [PubMed] [Google Scholar]
  26. Bobe G., Young J. W., and Beitz D. C.. 2004. Invited review: pathology, etiology, prevention, and treatment of fatty liver in dairy cows. J. Dairy Sci. 87:3105–3124. doi: 10.3168/jds.S0022-0302(04)73446-3. [DOI] [PubMed] [Google Scholar]
  27. Bordignon M., Da Dalt L., Marinelli L., and Gabai G.. 2014. Advanced oxidation protein products are generated by bovine neutrophils and inhibit free radical production in vitro. Vet. J. 199:162–168. doi: 10.1016/j.tvjl.2013.10.028. [DOI] [PubMed] [Google Scholar]
  28. Bradford B. J., Mamedova L. K., Minton J. E., Drouillard J. S., and Johnson B. J.. 2009. Daily injection of tumor necrosis factor-{alpha} increases hepatic triglycerides and alters transcript abundance of metabolic genes in lactating dairy cattle. J. Nutr. 139:1451–1456. doi: 10.3945/jn.109.108233. [DOI] [PubMed] [Google Scholar]
  29. Brassard P., Larbi A., Grenier A., Frisch F., Fortin C., Carpentier A. C., and Fülöp T.. 2007. Modulation of T-cell signalling by non-esterified fatty acids. Prostaglandins. Leukot. Essent. Fatty Acids 77:337–343. doi: 10.1016/j.plefa.2007.10.025. [DOI] [PubMed] [Google Scholar]
  30. Brown D. I., and Griendling K. K.. 2015. Regulation of signal transduction by reactive oxygen species in the cardiovascular system. Circ. Res. 116:531–549. doi: 10.1161/CIRCRESAHA.116.303584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Burton J. L., Kehrli M. E. Jr, Kapil S., and Horst R. L.. 1995. Regulation of L-selectin and CD18 on bovine neutrophils by glucocorticoids: effects of cortisol and dexamethasone. J. Leukoc. Biol. 57:317–325. doi: 10.1002/jlb.57.2.317. [DOI] [PubMed] [Google Scholar]
  32. Cai T. Q., Weston P. G., Lund L. A., Brodie B., McKenna D. J., and Wagner W. C.. 1994. Association between neutrophil functions and periparturient disorders in cows. Am. J. Vet. Res. 55:934–943. [PubMed] [Google Scholar]
  33. Calamari L., Soriani N., Panella G., Petrera F., Minuti A., and Trevisi E.. 2014. Rumination time around calving: an early signal to detect cows at greater risk of disease. J. Dairy Sci. 97:3635–3647. doi: 10.3168/jds.2013-7709. [DOI] [PubMed] [Google Scholar]
  34. Calder P. C. 2002. Dietary modification of inflammation with lipids. Proc. Nutr. Soc. 61:345–358. doi: 10.1079/pns2002166. [DOI] [PubMed] [Google Scholar]
  35. Calder P. C. 2006. Polyunsaturated fatty acids and inflammation. Prostaglandins. Leukot. Essent. Fatty Acids 75:197–202. doi: 10.1016/j.plefa.2006.05.012. [DOI] [PubMed] [Google Scholar]
  36. Calder P. C. 2008. The relationship between the fatty acid composition of immune cells and their function. Prostaglandins. Leukot. Essent. Fatty Acids 79:101–108. doi: 10.1016/j.plefa.2008.09.016. [DOI] [PubMed] [Google Scholar]
  37. Calder P. C. 2013. Feeding the immune system. Proc. Nutr. Soc. 72:299–309. doi: 10.1017/S0029665113001286. [DOI] [PubMed] [Google Scholar]
  38. Calder P. C., Bond J. A., Harvey D. J., Gordon S., and Newsholme E. A.. 1990. Uptake and incorporation of saturated and unsaturated fatty acids into macrophage lipids and their effect upon macrophage adhesion and phagocytosis. Biochem. J. 269:807–814. doi: 10.1042/bj2690807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Calsamiglia S., Cardozo P. W., Ferret A., and Bach A.. 2008. Changes in rumen microbial fermentation are due to a combined effect of type of diet and pH. J. Anim. Sci. 86:702–711. doi: 10.2527/jas.2007-0146. [DOI] [PubMed] [Google Scholar]
  40. Cao Y. Z., Reddy C. C., and Sordillo L. M.. 2000. Altered eicosanoid biosynthesis in selenium-deficient endothelial cells. Free Radic. Biol. Med. 28:381–389. doi: 10.1016/s0891-5849(99)00251-8. [DOI] [PubMed] [Google Scholar]
  41. Cappa V., Trevisi E., and Bertoni G.. 1989. Variazioni ematiche e produttive nel 1° mese di lattazione in bovine di allevamenti con o senza problemi “post-partum.” Zootec. e Nutr. Anim. 15:645–660. [Google Scholar]
  42. Castell J. V., Gómez-Lechón M. J., David M., Andus T., Geiger T., Trullenque R., Fabra R., and Heinrich P. C.. 1989. Interleukin-6 is the major regulator of acute phase protein synthesis in adult human hepatocytes. FEBS Lett. 242:237–239. doi: 10.1016/0014-5793(89)80476-4. [DOI] [PubMed] [Google Scholar]
  43. Ceciliani F., Ceron J. J., Eckersall P. D., and Sauerwein H.. 2012. Acute phase proteins in ruminants. J. Proteomics 75:4207–4231. doi: 10.1016/j.jprot.2012.04.004. [DOI] [PubMed] [Google Scholar]
  44. Celi P. 2011. Oxidative stress in ruminants. In: Mandelker L. and Vajdovich P., editors. Studies on veterinary medicine. oxidative stress in applied basic research and clinical practice. Totowa (NJ): Humana Press; p. 191–231. [Google Scholar]
  45. Celi P., and Gabai G.. 2015. Oxidant/antioxidant balance in animal nutrition and health: the role of protein oxidation. Front. Vet. Sci. 2:48. doi: 10.3389/fvets.2015.00048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Cheng W. L., Lii C. K., Chen H. W., Lin T. H., and Liu K. L.. 2004. Contribution of conjugated linoleic acid to the suppression of inflammatory responses through the regulation of the NF-kappaB pathway. J. Agric. Food Chem. 52:71–78. doi: 10.1021/jf0348626. [DOI] [PubMed] [Google Scholar]
  47. Choi B. R., and Allen M. S.. 1999. Intake regulation by volatile fatty acids and physical fill. S. Afr. J. Anim. Sci. 29:40–41. [Google Scholar]
  48. Cipak Gasparovic A., Zarkovic N., Zarkovic K., Semen K., Kaminskyy D., Yelisyeyeva O., and Bottari S. P.. 2017. Biomarkers of oxidative and nitro-oxidative stress: conventional and novel approaches. Br. J. Pharmacol. 174:1771–1783. doi: 10.1111/bph.13673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Cobbold S. P. 2013. The mTOR pathway and integrating immune regulation. Immunology 140:391–398. doi: 10.1111/imm.12162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Contreras G. A., Mattmiller S. A., Raphael W., Gandy J. C., and Sordillo L. M.. 2012a. Enhanced n-3 phospholipid content reduces inflammatory responses in bovine endothelial cells. J. Dairy Sci. 95:7137–7150. doi: 10.3168/jds.2012-5729. [DOI] [PubMed] [Google Scholar]
  51. Contreras G. A., O’Boyle N. J., Herdt T. H., and Sordillo L. M.. 2010. Lipomobilization in periparturient dairy cows influences the composition of plasma nonesterified fatty acids and leukocyte phospholipid fatty acids. J. Dairy Sci. 93:2508–2516. doi: 10.3168/jds.2009-2876 [DOI] [PubMed] [Google Scholar]
  52. Contreras G. A., Raphael W., Mattmiller S. A., Gandy J. C., and Sordillo L. M.. 2012b. Nonesterified fatty acids modify inflammatory response and eicosanoid biosynthesis in bovine endothelial cells. J. Dairy Sci. 95:5011–5023. doi: 10.3168/jds.2012-5382. [DOI] [PubMed] [Google Scholar]
  53. Contreras L. L., Ryan C. M., and Overton T. R.. 2004. Effects of dry cow grouping strategy and prepartum body condition score on performance and health of transition dairy cows. J. Dairy Sci. 87:517–523. doi: 10.3168/jds.S0022-0302(04)73191-4. [DOI] [PubMed] [Google Scholar]
  54. Cooke R. F., Carroll J. A., Dailey J., Cappellozza B. I., and Bohnert D. W.. 2012. Bovine acute-phase response after different doses of corticotropin-releasing hormone challenge. J. Anim. Sci. 90:2337–2344. doi: 10.2527/jas.2011-4608. [DOI] [PubMed] [Google Scholar]
  55. Crookenden M. A., Heiser A., Murray A., Dukkipati V. S. R., Kay J. K., Loor J. J., Meier S., Mitchell M. D., Moyes K. M., Walker C. G., et al. . 2016. Parturition in dairy cows temporarily alters the expression of genes in circulating neutrophils. J. Dairy Sci. 99:6470–6483. doi: 10.3168/jds.2015-10877. [DOI] [PubMed] [Google Scholar]
  56. Crookenden M. A., Walker C. G., Heiser A., Murray A., Dukkipati V. S. R., Kay J. K., Meier S., Moyes K. M., Mitchell M. D., Loor J. J., and Roche J. R.. 2017. Effects of precalving body condition and prepartum feeding level on gene expression in circulating neutrophils. J. Dairy Sci. 100:2310–2322. doi: 10.3168/jds.2016-12105. [DOI] [PubMed] [Google Scholar]
  57. Curtis C. R., Erb H. N., Sniffen C. J., Smith R. D., and Kronfeld D. S.. 1985. Path analysis of dry period nutrition, postpartum metabolic and reproductive disorders, and mastitis in Holstein cows. J. Dairy Sci. 68:2347–2360. doi: 10.3168/jds.S0022-0302(85)81109-7. [DOI] [PubMed] [Google Scholar]
  58. Dalle-Donne I., Scaloni A., Giustarini D., Cavarra E., Tell G., Lungarella G., Colombo R., Rossi R., and Milzani A.. 2005. Proteins as biomarkers of oxidative/nitrosative stress in diseases: the contribution of redox proteomics. Mass Spectrom. Rev. 24:55–99. doi: 10.1002/mas.20006. [DOI] [PubMed] [Google Scholar]
  59. Davis S. L. 1998. Environmental modulation of the immune system via the endocrine system. Domest. Anim. Endocrinol. 15:283–289. doi: 10.1016/s0739-7240(98)00034-4. [DOI] [PubMed] [Google Scholar]
  60. Dedon P. C., and Tannenbaum S. R.. 2004. Reactive nitrogen species in the chemical biology of inflammation. Arch. Biochem. Biophys. 423:12–22. doi: 10.1016/j.abb.2003.12.017. [DOI] [PubMed] [Google Scholar]
  61. Del Rio D., Stewart A. J., and Pellegrini N.. 2005. A review of recent studies on malondialdehyde as toxic molecule and biological marker of oxidative stress. Nutr. Metab. Cardiovasc. Dis. 15:316–328. doi: 10.1016/j.numecd.2005.05.003. [DOI] [PubMed] [Google Scholar]
  62. Dingwell R. T., Kelton D. F., Leslie K. E., and Edge V. L.. 2001. Deciding to dry-off: does level of production matter? In: Reno N. V., editor. National Mastitis Council Annual Meeting Proceedings. Madison (WI): National Mastitis Council, Inc. p. 69–79. [Google Scholar]
  63. Dirandeh E., Towhidi A., Pirsaraei Z. A., Hashemi F. A., Ganjkhanlou M., Zeinoaldini S., Roodbari A. R., Saberifar T., and Petit H. V.. 2013. Plasma concentrations of PGFM and uterine and ovarian responses in early lactation dairy cows fed omega-3 and omega-6 fatty acids. Theriogenology 80:131–137. doi: 10.1016/j.theriogenology.2013.03.012. [DOI] [PubMed] [Google Scholar]
  64. Dirksen G. U., Liebich H. G., and Mayer E.. 1985. Adaptive changes of the ruminal mucosa and their functional and clinical significance. Bov. Pract. 20:116–120. [Google Scholar]
  65. Do Nascimento C. O., Hunter L., and Trayhurn P.. 2004. Regulation of haptoglobin gene expression in 3T3-L1 adipocytes by cytokines, catecholamines, and PPARγ. Biochem. Biophys. Res. Commun. 313:702–708. doi: 10.1016/j.bbrc.2003.12.008. [DOI] [PubMed] [Google Scholar]
  66. Doepel L., Lessard M., Gagnon N., Lobley G. E., Bernier J. F., Dubreuil P., and Lapierre H.. 2006. Effect of postruminal glutamine supplementation on immune response and milk production in dairy cows. J. Dairy Sci. 89:3107–3121. doi: 10.3168/jds.S0022-0302(06)72585-1. [DOI] [PubMed] [Google Scholar]
  67. Dohoo I. R., and Martin S. W.. 1984a. Subclinical ketosis: prevalence and associations with production and disease. Can. J. Comp. Med. 48:1–5. [PMC free article] [PubMed] [Google Scholar]
  68. Dohoo I. R., and Martin S. W.. 1984b. Disease, production and culling in Holstein-Friesian cows III. Disease and production as determinants of disease. Prev. Vet. Med. 2:671–690. doi: 10.1016/0167-5877(84)90013-8. [DOI] [Google Scholar]
  69. Douglas G. N., Overton T. R., Bateman H. G. 2nd, Dann H. M., and Drackley J. K.. 2006. Prepartal plane of nutrition, regardless of dietary energy source, affects periparturient metabolism and dry matter intake in Holstein cows. J. Dairy Sci. 89:2141–2157. doi: 10.3168/jds.S0022-0302(06)72285-8. [DOI] [PubMed] [Google Scholar]
  70. Douglas G. N., Rehage J., Beaulieu A. D., Bahaa A. O., and Drackley J. K.. 2007. Prepartum nutrition alters fatty acid composition in plasma, adipose tissue, and liver lipids of periparturient dairy cows. J. Dairy Sci. 90:2941–2959. doi: 10.3168/jds.2006-225. [DOI] [PubMed] [Google Scholar]
  71. Drackley J. K. 1999. ADSA Foundation Scholar Award. Biology of dairy cows during the transition period: the final frontier? J. Dairy Sci. 82:2259–2273. doi: 10.3168/jds.s0022-0302(99)75474-3. [DOI] [PubMed] [Google Scholar]
  72. Drackley J. K., Dann H. M., Douglas N., Guretzky N. A. J., Litherland N. B., Underwood J. P., and Loor J. J.. 2005. Physiological and pathological adaptations in dairy cows that may increase susceptibility to periparturient diseases and disorders. Ital. J. Anim. Sci. 4:323–344. doi: 10.4081/ijas.2005.323 [DOI] [Google Scholar]
  73. Drackley J. K., Donkin S. S., and Reynolds C. K.. 2006. Major advances in fundamental dairy cattle nutrition. J. Dairy Sci. 89:1324–1336. doi: 10.3168/jds.S0022-0302(06)72200-7 [DOI] [PubMed] [Google Scholar]
  74. Duffield T. F. 2000. Subclinical ketosis in lactating dairy cattle. Vet. Clin. North Am. Food Anim. Pract. 16:231–253. doi: 10.1016/S0749-0720(15)30103-1. [DOI] [PubMed] [Google Scholar]
  75. Egger G., and Dixon J.. 2009. Obesity and chronic disease: always offender or often just accomplice? Br. J. Nutr. 102:1238–1242. doi: 10.1017/S0007114509371676. [DOI] [PubMed] [Google Scholar]
  76. Emanuelson U., Oltenacu P. A., and Gröhn Y. T.. 1993. Nonlinear mixed model analyses of five production disorders of dairy cattle. J. Dairy Sci. 76:2765–2772. doi: 10.3168/jds.S0022-0302(93)77614-6. [DOI] [PubMed] [Google Scholar]
  77. Esposito G., Irons P. C., Webb E. C., and Chapwanya A.. 2014. Interactions between negative energy balance, metabolic diseases, uterine health and immune response in transition dairy cows. Anim. Reprod. Sci. 144:60–71. doi: 10.1016/j.anireprosci.2013.11.007. [DOI] [PubMed] [Google Scholar]
  78. Finkel T. 2011. Signal transduction by reactive oxygen species. J. Cell Biol. 194:7–15. doi: 10.1083/jcb.201102095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Fleck A. 1989. Clinical and nutritional aspects of changes in acute-phase proteins during inflammation. Proc. Nutr. Soc. 48:347–354. doi: 10.1079/PNS19890050. [DOI] [PubMed]
  80. Galvão K. N., Felippe M. J. B., Brittin S. B., Sper R., Fraga M., Galvão J. S., Caixeta L., Guard C. L., Ricci A., and Gilbert R. O.. 2012. Evaluation of cytokine expression by blood monocytes of lactating Holstein cows with or without postpartum uterine disease. Theriogenology. 77:356–372. doi: 10.1016/j.theriogenology.2011.08.008. [DOI] [PubMed] [Google Scholar]
  81. Galvão K. N., Flaminio M. J. B. F., Brittin S. B., Sper R., Fraga M., Caixeta L., Ricci A., Guard C. L., Butler W. R., and Gilbert R. O.. 2010. Association between uterine disease and indicators of neutrophil and systemic energy status in lactating Holstein cows. J. Dairy Sci. 93:2926–2937. doi: 10.3168/jds.2009-2551. [DOI] [PubMed] [Google Scholar]
  82. Gamelli R. L., Liu H., He L. K., and Hofmann C. A.. 1996. Augmentations of glucose uptake and glucose transporter-1 in macrophages following thermal injury and sepsis in mice. J. Leukoc. Biol. 59:639–647. doi: 10.1002/jlb.59.5.639. [DOI] [PubMed] [Google Scholar]
  83. Giblett E. R. 1961. Haptoglobin: a review. Vox Sang. 6:513–524. doi: 10.1111/j.1423-0410.1961.tb03200.x. [DOI] [PubMed] [Google Scholar]
  84. Goff J. P., and Horst R. L.. 1997. Physiological changes at parturition and their relationship to metabolic disorders. J. Dairy Sci. 80:1260–1268. doi: 10.3168/jds.S0022-0302(97)76055-7. [DOI] [PubMed] [Google Scholar]
  85. Gong J. G., Lee W. J., Garnsworthy P. C., and Webb R.. 2002. Effect of dietary-induced increases in circulating insulin concentrations during the early postpartum period on reproductive function in dairy cows. Reproduction 123:419–427. [PubMed] [Google Scholar]
  86. Gorjão R., Verlengia R., Lima T. M., Soriano F. G., Boaventura M. F., Kanunfre C. C., Peres C. M., Sampaio S. C., Otton R., Folador A., et al. . 2006. Effect of docosahexaenoic acid-rich fish oil supplementation on human leukocyte function. Clin. Nutr. 25:923–938. doi: 10.1016/j.clnu.2006.03.004. [DOI] [PubMed] [Google Scholar]
  87. Graugnard D. E., Moyes K. M., Trevisi E., Khan M. J., Keisler D., Drackley J. K., Bertoni G., and Loor J. J.. 2013. Liver lipid content and inflammometabolic indices in peripartal dairy cows are altered in response to prepartal energy intake and postpartal intramammary inflammatory challenge. J. Dairy Sci. 96:918–935. doi: 10.3168/jds.2012-5676. [DOI] [PubMed] [Google Scholar]
  88. Grossi P., Bertoni G., Cappelli F. P., and Trevisi E.. 2013. Effects of the precalving administration of omega-3 fatty acids alone or in combination with acetylsalicylic acid in periparturient dairy cows. J. Anim. Sci. 91:2657–2666. doi: 10.2527/jas.2012-5661. [DOI] [PubMed] [Google Scholar]
  89. Grum D. E., Drackley J. K., and Clark J. H.. 2002. Fatty acid metabolism in liver of dairy cows fed supplemental fat and nicotinic acid during an entire lactation. J. Dairy Sci. 85:3026–3034. doi: 10.3168/jds.S0022-0302(02)74388-9. [DOI] [PubMed] [Google Scholar]
  90. Halliwell B., and Whiteman M.. 2004. Measuring reactive species and oxidative damage in vivo and in cell culture: how should you do it and what do the results mean? Br. J. Pharmacol. 142:231–255. doi: 10.1038/sj.bjp.0705776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Herdt T. H. 2000. Ruminant adaptation to negative energy balance. Influences on the etiology of ketosis and fatty liver. Vet. Clin. North Am. Food Anim. Pract. 16:215–30, v. doi: 10.1016/s0749-0720(15)30102-x. [DOI] [PubMed] [Google Scholar]
  92. Higuchi H., Katoh N., Miyamoto T., Uchida E., Yuasa A., and Takahashi K.. 1994. Dexamethasone-induced haptoglobin release by calf liver parenchymal cells. Am. J. Vet. Res. 55:1080–1085. [PubMed] [Google Scholar]
  93. Hill A. W. 1981. Factors influencing the outcome of Escherichia coli mastitis in the dairy cow. Res. Vet. Sci. 31:107–112. doi: 10.1016/S0034-5288(18)32532-3. [DOI] [PubMed] [Google Scholar]
  94. Hodgkinson A. J., Carpenter E. A., Smith C. S., Molan P. C., and Prosser C. G.. 2007. Adhesion molecule expression in the bovine mammary gland. Vet. Immunol. Immunopathol. 115:205–215. doi: 10.1016/j.vetimm.2006.10.020. [DOI] [PubMed] [Google Scholar]
  95. Hoeben D., Heyneman R., and Burvenich C.. 1997. Elevated levels of beta-hydroxybutyric acid in periparturient cows and in vitro effect on respiratory burst activity of bovine neutrophils. Vet. Immunol. Immunopathol. 58:165–170. doi: 10.1016/s0165-2427(97)00031-7. [DOI] [PubMed] [Google Scholar]
  96. Holtenius K., Persson Waller K., Essén-Gustavsson B., Holtenius P., and Hallén Sandgren C.. 2004. Metabolic parameters and blood leukocyte profiles in cows from herds with high or low mastitis incidence. Vet. J. 168:65–73. doi: 10.1016/j.tvjl.2003.09.015. [DOI] [PubMed] [Google Scholar]
  97. Hotamisligil G. S. 2006. Inflammation and metabolic disorders. Nature 444:860–867. doi: 10.1038/nature05485. [DOI] [PubMed] [Google Scholar]
  98. Hughes D. A., and Pinder A. C.. 2000. N-3 polyunsaturated fatty acids inhibit the antigen-presenting function of human monocytes. Am. J. Clin. Nutr. 71(1 Suppl):357S–360S. doi: 10.1093/ajcn/71.1.357s. [DOI] [PubMed] [Google Scholar]
  99. Huzzey J. M., Nydam D. V., Grant R. J., and Overton T. R.. 2011. Associations of prepartum plasma cortisol, haptoglobin, fecal cortisol metabolites, and nonesterified fatty acids with postpartum health status in Holstein dairy cows. J. Dairy Sci. 94:5878–5889. doi: 10.3168/jds.2010-3391. [DOI] [PubMed] [Google Scholar]
  100. Ingvartsen K. L. 2006. Feeding- and management-related diseases in the transition cow: physiological adaptations around calving and strategies to reduce feeding-related diseases. Anim. Feed Sci. Technol. 126:175–213. doi: 10.1016/j.anifeedsci.2005.08.003. [DOI] [Google Scholar]
  101. Ingvartsen K. L., and Andersen J. B.. 2000. Integration of metabolism and intake regulation: a review focusing on periparturient animals. J. Dairy Sci. 83:1573–1597. doi: 10.3168/jds.S0022-0302(00)75029-6. [DOI] [PubMed] [Google Scholar]
  102. Ingvartsen K. L., and Moyes K. M.. 2015. Factors contributing to immunosuppression in the dairy cow during the periparturient period. Jpn. J. Vet. Res. 63 (Suppl 1):S15–S24. doi: 10.14943/jjvr.63.suppl.s15. [DOI] [PubMed] [Google Scholar]
  103. Jahan N., Minuti A., and Trevisi E.. 2015. Assessment of immune response in periparturient dairy cows using ex vivo whole blood stimulation assay with lipopolysaccharides and carrageenan skin test. Vet. Immunol. Immunopathol. 165:119–126. doi: 10.1016/j.vetimm.2015.04.003. [DOI] [PubMed] [Google Scholar]
  104. Janovick N. A., Boisclair Y. R., and Drackley J. K.. 2011. Prepartum dietary energy intake affects metabolism and health during the periparturient period in primiparous and multiparous Holstein cows. J. Dairy Sci. 94:1385–1400. doi: 10.3168/jds.2010-3303. [DOI] [PubMed] [Google Scholar]
  105. Joffre O., Nolte M. A., Spörri R., and Sousa C. R. E.. 2009. Inflammatory signals in dendritic cell activation and the induction of adaptive immunity. Immunol. Rev. 227:234–247. doi: 10.1111/j.1600-065X.2008.00718.x. [DOI] [PubMed] [Google Scholar]
  106. Katholnig K., Linke M., Pham H., Hengstschläger M., and Weichhart T.. 2013. Immune responses of macrophages and dendritic cells regulated by mTOR signalling. Biochem. Soc. Trans. 41:927–933. doi: 10.1042/BST20130032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Katoh N., Oikawa S., Oohashi T., Takahashi Y., and Itoh F.. 2002. Decreases of apolipoprotein B-100 and A-I concentrations and induction of haptoglobin and serum amyloid A in nonfed calves. J. Vet. Med. Sci. 64:51–55. doi: 10.1292/jvms.64.51. [DOI] [PubMed] [Google Scholar]
  108. Kelley K. W., Weigent D. A., and Kooijman R.. 2007. Protein hormones and immunity. Brain. Behav. Immun. 21:384–392. doi: 10.1016/j.bbi.2006.11.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Kelton D. F., Lissemore K. D., and Martin R. E.. 1998. Recommendations for recording and calculating the incidence of selected clinical diseases of dairy cattle. J. Dairy Sci. 81:2502–2509. doi: 10.3168/jds.S0022-0302(98)70142-0. [DOI] [PubMed] [Google Scholar]
  110. Kim I. H., Na K. J., and Yang M. P.. 2005. Immune responses during the peripartum period in dairy cows with postpartum endometritis. J. Reprod. Dev. 51:757–764. doi: 10.1262/jrd.17036. [DOI] [PubMed] [Google Scholar]
  111. Kim D., Park D., Kyung J., Yang Y. H., Choi E. K., Lee Y. B., Kim H. K., Hwang B. Y., and Kim Y. B.. 2012. Anti-inflammatory effects of Houttuynia cordata supercritical extract in carrageenan-air pouch inflammation model. Lab. Anim. Res. 28:137–140. doi: 10.5625/lar.2012.28.2.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Kimura K., Goff J. P., Kehrli M. E. Jr, Harp J. A., and Nonnecke B. J.. 2002. Effects of mastectomy on composition of peripheral blood mononuclear cell populations in periparturient dairy cows. J. Dairy Sci. 85:1437–1444. doi: 10.3168/jds.S0022-0302(02)74211-2. [DOI] [PubMed] [Google Scholar]
  113. Kimura K., Goff J. P., and Kehrli M. E. Jr. 1999. Effects of the presence of the mammary gland on expression of neutrophil adhesion molecules and myeloperoxidase activity in periparturient dairy cows. J. Dairy Sci. 82:2385–2392. doi: 10.3168/jds.S0022-0302(99)75489-5. [DOI] [PubMed] [Google Scholar]
  114. Komaragiri M. V., and Erdman R. A.. 1997. Factors affecting body tissue mobilization in early lactation dairy cows. 1. Effect of dietary protein on mobilization of body fat and protein. J. Dairy Sci. 80:929–937. doi: 10.3168/jds.S0022-0302(97)76016-8. [DOI] [PubMed] [Google Scholar]
  115. Kushibiki S., Hodate K., Shingu H., Ueda Y., Shinoda M., Mori Y., Itoh T., and Yokomizo Y.. 2001. Insulin resistance induced in dairy steers by tumor necrosis factor alpha is partially reversed by 2,4-thiazolidinedione. Domest. Anim. Endocrinol. 21:25–37. doi: 10.1016/s0739-7240(01)00102-3. [DOI] [PubMed] [Google Scholar]
  116. Kvidera S. K., Horst E. A., Abuajamieh M., Mayorga E. J., Fernandez M. V. S., and Baumgard L. H.. 2017. Glucose requirements of an activated immune system in lactating Holstein cows. J. Dairy Sci. 100:2360–2374. doi: 10.3168/jds.2016-12001. [DOI] [PubMed] [Google Scholar]
  117. Lacetera N., Scalia D., Bernabucci U., Ronchi B., Pirazzi D., and Nardone A.. 2005. Lymphocyte functions in overconditioned cows around parturition. J. Dairy Sci. 88:2010–2016. doi: 10.3168/jds.S0022-0302(05)72877-0. [DOI] [PubMed] [Google Scholar]
  118. Lacetera N., Scalia D., Franci O., Bernabucci U., Ronchi B., and Nardone A.. 2004. Short communication: effects of nonesterified fatty acids on lymphocyte function in dairy heifers. J. Dairy Sci. 87:1012–1014. doi: 10.3168/jds.S0022-0302(04)73246-4. [DOI] [PubMed] [Google Scholar]
  119. Lamote I., Meyer E., De Ketelaere A., Duchateau L., and Burvenich C.. 2006. Influence of sex steroids on the viability and CD11b, CD18 and CD47 expression of blood neutrophils from dairy cows in the last month of gestation. Vet. Res. 37:61–74. doi: 10.1051/vetres:2005038. [DOI] [PubMed] [Google Scholar]
  120. Lee J. Y., Plakidas A., Lee W. H., Heikkinen A., Chanmugam P., Bray G., and Hwang D. H.. 2003. Differential modulation of Toll-like receptors by fatty acids: preferential inhibition by n-3 polyunsaturated fatty acids. J. Lipid Res. 44:479–486. doi: 10.1194/jlr.M200361-JLR200. [DOI] [PubMed] [Google Scholar]
  121. Lee J. Y., Zhao L., and Hwang D. H.. 2010. Modulation of pattern recognition receptor-mediated inflammation and risk of chronic diseases by dietary fatty acids. Nutr. Rev. 68:38–61. doi: 10.1111/j.1753-4887.2009.00259.x. [DOI] [PubMed] [Google Scholar]
  122. Lee J. Y., Zhao L., Youn H. S., Weatherill A. R., Tapping R., Feng L., Lee W. H., Fitzgerald K. A., and Hwang D. H.. 2004. Saturated fatty acid activates but polyunsaturated fatty acid inhibits toll-like receptor 2 dimerized with toll-like receptor 6 or 1. J. Biol. Chem. 279:16971–16979. doi: 10.1074/jbc.M312990200. [DOI] [PubMed] [Google Scholar]
  123. Leroy J. L., Vanholder T., Van Knegsel A. T., Garcia-Ispierto I., and Bols P. E.. 2008. Nutrient prioritization in dairy cows early postpartum: mismatch between metabolism and fertility? Reprod. Domest. Anim. 43(Suppl 2):96–103. doi: 10.1111/j.1439-0531.2008.01148.x. [DOI] [PubMed] [Google Scholar]
  124. Lessard M., Gagnon N., Godson D. L., and Petit H. V.. 2004. Influence of parturition and diets enriched in n-3 or n-6 polyunsaturated fatty acids on immune response of dairy cows during the transition period. J. Dairy Sci. 87:2197–2210. doi: 10.3168/jds.S0022-0302(04)70040-5. [DOI] [PubMed] [Google Scholar]
  125. Loor J. J., Bionaz M., and Drackley J. K.. 2013. Systems physiology in dairy cattle: nutritional genomics and beyond. Annu. Rev. Anim. Biosci. 1:365–392. doi: 10.1146/annurev-animal-031412-103728. [DOI] [PubMed] [Google Scholar]
  126. Loor J. J., Everts R. E., Bionaz M., Dann H. M., Morin D. E., Oliveira R., Rodriguez-Zas S. L., Drackley J. K., and Lewin H. A.. 2007. Nutrition-induced ketosis alters metabolic and signaling gene networks in liver of periparturient dairy cows. Physiol. Genomics 32:105–116. doi: 10.1152/physiolgenomics.00188.2007. [DOI] [PubMed] [Google Scholar]
  127. Lucy M. C. 2001. Reproductive loss in high-producing dairy cattle: where will it end? J. Dairy Sci. 84:1277–1293. doi: 10.3168/jds.S0022-0302(01)70158-0. [DOI] [PubMed] [Google Scholar]
  128. Maddox J. F., Aherne K. M., Reddy C. C., and Sordillo L. M.. 1999. Increased neutrophil adherence and adhesion molecule mRNA expression in endothelial cells during selenium deficiency. J. Leukoc. Biol. 65:658–664. doi: 10.1002/jlb.65.5.658. [DOI] [PubMed] [Google Scholar]
  129. Majewski A. C., and Hansen P. J.. 2002. Progesterone inhibits rejection of xenogeneic transplants in the sheep uterus. Horm. Res. 58:128–135. doi: 10.1159/000063578. [DOI] [PubMed] [Google Scholar]
  130. Makki K., Froguel P., and Wolowczuk I.. 2013. Adipose tissue in obesity-related inflammation and insulin resistance: cells, cytokines, and chemokines. ISRN Inflamm. 2013:139239. doi: 10.1155/2013/139239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Mäntysaari P., and Mäntysaari E. A.. 2015. Modeling of daily body weights and body weight changes of Nordic Red cows. J. Dairy Sci. 98:6992–7002. doi: 10.3168/jds.2015-9541. [DOI] [PubMed] [Google Scholar]
  132. Mattos R., Staples C. R., Arteche A., Wiltbank M. C., Diaz F. J., Jenkins T. C., and Thatcher W. W.. 2004. The effects of feeding fish oil on uterine secretion of PGF2alpha, milk composition, and metabolic status of periparturient Holstein cows. J. Dairy Sci. 87:921–932. doi: 10.3168/jds.S0022-0302(04)73236-1. [DOI] [PubMed] [Google Scholar]
  133. Mehrzad J., Dosogne H., Meyer E., Heyneman R., and Burvenich C.. 2001. Respiratory burst activity of blood and milk neutrophils in dairy cows during different stages of lactation. J. Dairy Res. 68:399–415. doi: 10.1017/s0022029901005039. [DOI] [PubMed] [Google Scholar]
  134. Mezzetti M., Minuti A., Piccioli-Cappelli F., Amadori M., Bionaz M., and Trevisi E.. 2019. The role of altered immune function during the dry period in promoting the development of subclinical ketosis in early lactation. J. Dairy Sci. 102:9241–9258. doi: 10.3168/jds.2019-16497. [DOI] [PubMed] [Google Scholar]
  135. Mezzetti M., Minuti A., Piccioli-Cappelli F., and Trevisi E.. 2020. Inflammatory status and metabolic changes at dry-off in high yield dairy cows. Ital. J. Anim. Sci. 19:51–65. doi: 10.1080/1828051X.2019.1691472. [DOI] [Google Scholar]
  136. Minuti A., Bani P., Piccioli-Cappelli F., Uboldi O., Bacciu N., and Trevisi E.. 2015a. Metabolic and biochemical changes in plasma of the periparturient rabbit does with different litter size. Animal 9:614–621. doi: 10.1017/S1751731114002675. [DOI] [PubMed] [Google Scholar]
  137. Minuti A., N. Jahan, S. Capomaccio, J. J. Loor, L. Bomba, Ajmone-Marsan P., Lopreiato V., Piccioli-Cappelli F., Trevisi E. 2020. Evaluation of circulating leukocyte transcriptome and its relationship with immune function and blood markers in dairy cows during the transition period. Funct. Integr. Genomic. 20:293–305. doi: 10.1007/s10142-019-00720-0. [DOI] [PubMed]
  138. Minuti A., Palladino A., Khan M. J., Alqarni S., Agrawal A., Piccioli-Capelli F., Hidalgo F., Cardoso F. C., Trevisi E., and Loor J. J.. 2015b. Abundance of ruminal bacteria, epithelial gene expression, and systemic biomarkers of metabolism and inflammation are altered during the peripartal period in dairy cows. J. Dairy Sci. 98:8940–8951. doi: 10.3168/jds.2015-9722. [DOI] [PubMed] [Google Scholar]
  139. Minuti A., Zhou Z., Graugnard D. E., Rodriguez-Zas S. L., Palladino A. R., Cardoso F. C., Trevisi E., and Loor J. J.. 2015c. Acute mammary and liver transcriptome responses after an intramammary Escherichia coli lipopolysaccharide challenge in postpartal dairy cows. Physiol. Rep. 3:e12388. doi: 10.14814/phy2.12388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Moallem U. 2018. Invited review: Roles of dietary n-3 fatty acids in performance, milk fat composition, and reproductive and immune systems in dairy cattle. J. Dairy Sci. 101:8641–8661. doi: 10.3168/jds.2018-14772. [DOI] [PubMed] [Google Scholar]
  141. Moyes K. M., Drackley J. K., Morin D. E., and Loor J. J.. 2010. Greater expression of TLR2, TLR4, and IL6 due to negative energy balance is associated with lower expression of HLA-DRA and HLA-A in bovine blood neutrophils after intramammary mastitis challenge with Streptococcus uberis. Funct. Integr. Genomics 10:53–61. doi: 10.1007/s10142-009-0154-7. [DOI] [PubMed] [Google Scholar]
  142. Moyes K. M., Drackley J. K., Salak-Johnson J. L., Morin D. E., Hope J. C., and Loor J. J.. 2009. Dietary-induced negative energy balance has minimal effects on innate immunity during a Streptococcus uberis mastitis challenge in dairy cows during midlactation. J. Dairy Sci. 92:4301–4316. doi: 10.3168/jds.2009-2170 [DOI] [PubMed] [Google Scholar]
  143. Moyes K. M., Sørensen P., and Bionaz M.. 2016. The impact of intramammary Escherichia coli challenge on liver and mammary transcriptome and cross-talk in dairy cows during early lactation using RNAseq. Plos One 11:e0157480. doi: 10.1371/journal.pone.0157480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  144. Mulligan F. J., and Doherty M. L.. 2008. Production diseases of the transition cow. Vet. J. 176:3–9. doi: 10.1016/j.tvjl.2007.12.018. [DOI] [PubMed] [Google Scholar]
  145. Newsholme E. A., Crabtree B., and Ardawi M. S.. 1985. The role of high rates of glycolysis and glutamine utilization in rapidly dividing cells. Biosci. Rep. 5:393–400. doi: 10.1007/bf01116556. [DOI] [PubMed] [Google Scholar]
  146. Newsholme P., Curi R., Pithon Curi T. C., Murphy C. J., Garcia C., and Pires de Melo M.. 1999. Glutamine metabolism by lymphocytes, macrophages, and neutrophils: its importance in health and disease. J. Nutr. Biochem. 10:316–324. doi: 10.1016/s0955-2863(99)00022-4. [DOI] [PubMed] [Google Scholar]
  147. Nightingale C. R., Sellers M. D., and Ballou M. A.. 2015. Elevated plasma haptoglobin concentrations following parturition are associated with elevated leukocyte responses and decreased subsequent reproductive efficiency in multiparous Holstein dairy cows. Vet. Immunol. Immunopathol. 164:16–23. doi: 10.1016/j.vetimm.2014.12.016. [DOI] [PubMed] [Google Scholar]
  148. Nonnecke B. J., Franklin S. T., and Young J. W.. 1992. Effects of ketones, acetate, and glucose on in vitro immunoglobulin secretion by bovine lymphocytes. J. Dairy Sci. 75:982–990. doi: 10.3168/jds.S0022-0302(92)77840-0. [DOI] [PubMed] [Google Scholar]
  149. Nonnecke B. J., Reinhardt T. A., and Franklin S. T.. 1993. Retinoid-induced modulation of immunoglobulin M secretion by bovine mononuclear leukocytes in vitro. J. Dairy Sci. 76:2175–2183. doi: 10.3168/jds.S0022-0302(93)77554-2. http://www.sciencedirect.com/science/article/pii/S0022030293775542%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/8408867 [DOI] [PubMed] [Google Scholar]
  150. Nordlund K. 2006. Transition Cow IndexTM. In: 39th Proceedings American Association Bovine Practitioners; September 21 to 23, 2006. St. Paul (MN): Frontier Printers, Inc. p. 139–143.
  151. NRC 2001. Nutrient requirement of dairy cattle, 7th ed. Washington (DC): National Academies Press, editor. [Google Scholar]
  152. O’Boyle N. J., Contreras G. A., Mattmiller S. A., and Sordillo L. M.. 2012. Changes in glucose transporter expression in monocytes of periparturient dairy cows. J. Dairy Sci. 95:5709–5719. doi: 10.3168/jds.2012-5327. [DOI] [PubMed] [Google Scholar]
  153. O’Boyle N., Corl C. M., Gandy J. C., and Sordillo L. M.. 2006. Relationship of body condition score and oxidant stress to tumor necrosis factor expression in dairy cattle. Vet. Immunol. Immunopathol. 113:297–304. doi: 10.1016/j.vetimm.2006.05.013. [DOI] [PubMed] [Google Scholar]
  154. Odensten M. O., Chilliard Y., and Holtenius K.. 2005. Effects of two different feeding strategies during dry-off on metabolism in high-yielding dairy cows. J. Dairy Sci. 88:2072–2082. doi: 10.3168/jds.S0022-0302(05)72884-8. [DOI] [PubMed] [Google Scholar]
  155. Ogle C. K., Ogle J. D., Mao J. X., Simon J., Noel J. G., Li B. G., and Alexander J. W.. 1994. Effect of glutamine on phagocytosis and bacterial killing by normal and pediatric burn patient neutrophils. JPEN. J. Parenter. Enteral Nutr. 18:128–133. doi: 10.1177/0148607194018002128. [DOI] [PubMed] [Google Scholar]
  156. Oltenacu P. A., and Ekesbo I.. 1994. Epidemiological study of clinical mastitis in dairy cattle. Vet. Res. 25:208–212. doi: 10.1515/text.2011.028. [DOI] [PubMed] [Google Scholar]
  157. Osorio J. S., Trevisi E., Li C., Drackley J. K., Socha M. T., and Loor J. J.. 2016. Supplementing Zn, Mn, and Cu from amino acid complexes and Co from cobalt glucoheptonate during the peripartal period benefits postpartal cow performance and blood neutrophil function. J. Dairy Sci. 99:1868–1883. doi: 10.3168/jds.2015-10040. [DOI] [PubMed] [Google Scholar]
  158. Overton T. R., and Waldron M. R.. 2004. Nutritional management of transition dairy cows: strategies to optimize metabolic health. J. Dairy Sci. 87:E105–E119. doi: 10.3168/jds.S0022-0302(04)70066-1 [DOI] [Google Scholar]
  159. Padgett D. A., and Glaser R.. 2003. How stress influences the immune response. Trends Immunol. 24:444–448. doi: 10.1016/s1471-4906(03)00173-x. [DOI] [PubMed] [Google Scholar]
  160. Padua M. B., Tekin S., Spencer T. E., and Hansen P. J.. 2005. Actions of progesterone on uterine immunosuppression and endometrial gland development in the uterine gland knockout (UGKO) ewe. Mol. Reprod. Dev. 71:347–357. doi: 10.1002/mrd.20301. [DOI] [PubMed] [Google Scholar]
  161. Pinedo P. J., De Vries A., and Webb D. W.. 2010. Dynamics of culling risk with disposal codes reported by Dairy Herd Improvement dairy herds. J. Dairy Sci. 93:2250–2261. doi: 10.3168/jds.2009-2572. [DOI] [PubMed] [Google Scholar]
  162. Pinotti L., Baldi A., and Dell’Orto V.. 2002. Comparative mammalian choline metabolism with emphasis on the high-yielding dairy cow. Nutr. Res. Rev. 15:315–332. doi: 10.1079/NRR200247. [DOI] [PubMed] [Google Scholar]
  163. Pithon-Curi T. C., De Melo M. P., and Curi R.. 2004. Glucose and glutamine utilization by rat lymphocytes, monocytes and neutrophils in culture: a comparative study. Cell Biochem. Funct. 22:321–326. doi: 10.1002/cbf.1109. [DOI] [PubMed] [Google Scholar]
  164. Pugeat M., Bonneton A., Perrot D., Rocle-Nicolas B., Lejeune H., Grenot C., Déchaud H., Brébant C., Motin J., and Cuilleron C. Y.. 1989. Decreased immunoreactivity and binding activity of corticosteroid-binding globulin in serum in septic shock. Clin. Chem. 35:1675–1679. doi: 10.1093/clinchem/35.8.1675. [DOI] [PubMed] [Google Scholar]
  165. Putman A. K., Brown J. L., Gandy J. C., Wisnieski L., and Sordillo L. M.. 2018. Changes in biomarkers of nutrient metabolism, inflammation, and oxidative stress in dairy cows during the transition into the early dry period. J. Dairy Sci. 101:9350–9359. doi: 10.3168/jds.2018-14591. [DOI] [PubMed] [Google Scholar]
  166. Rabelo E., Rezende R. L., Bertics S. J., and Grummer R. R.. 2003. Effects of transition diets varying in dietary energy density on lactation performance and ruminal parameters of dairy cows. J. Dairy Sci. 86:916–925. doi: 10.3168/jds.S0022-0302(03)73674-1. [DOI] [PubMed] [Google Scholar]
  167. Raphael W., and Sordillo L. M.. 2013. Dietary polyunsaturated fatty acids and inflammation: the role of phospholipid biosynthesis. Int. J. Mol. Sci. 14:21167–21188. doi: 10.3390/ijms141021167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Rastani R. R., Andrew S. M., Zinn S. A., and Sniffen C. J.. 2001. Body composition and estimated tissue energy balance in Jersey and Holstein cows during early lactation. J. Dairy Sci. 84:1201–1209. doi: 10.3168/jds.S0022-0302(01)74581-X. [DOI] [PubMed] [Google Scholar]
  169. Rodriguez-Jimenez S., Haerr K. J., Trevisi E., Loor J. J., Cardoso F. C., and Osorio J. S.. 2018. Prepartal standing behavior as a parameter for early detection of postpartal subclinical ketosis associated with inflammation and liver function biomarkers in peripartal dairy cows. J. Dairy Sci. 101:8224–8235. doi: 10.3168/jds.2017-14254. [DOI] [PubMed] [Google Scholar]
  170. Roth J. A., Kaeberle M. L., and Hsu W. H.. 1982. Effect of estradiol and progesterone on lymphocyte and neutrophil functions in steers. Infect. Immun. 35:997–1002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. Sartorelli P., Paltrinieri S., and Agnes F.. 1999. Non-specific immunity and ketone bodies. I: In vitro studies on chemotaxis and phagocytosis in ovine neutrophils. Zentralbl. Veterinarmed. A 46:613–619. doi: 10.1046/j.1439-0442.1999.00252.x. [DOI] [PubMed] [Google Scholar]
  172. Scalia D., Lacetera N., Bernabucci U., Demeyere K., Duchateau L., and Burvenich C.. 2006. In vitro effects of nonesterified fatty acids on bovine neutrophils oxidative burst and viability. J. Dairy Sci. 89:147–154. doi: 10.3168/jds.S0022-0302(06)72078-1. [DOI] [PubMed] [Google Scholar]
  173. Schreiber G., Howlett G., Nagashima M., Millership A., Martin H., Urban J., and Kotler L.. 1982. The acute phase response of plasma protein synthesis during experimental inflammation. J. Biol. Chem. 257:10271–10277. [PubMed] [Google Scholar]
  174. Serhan C. N. 2017. Treating inflammation and infection in the 21st century: new hints from decoding resolution mediators and mechanisms. Faseb J. 31:1273–1288. doi: 10.1096/fj.201601222R. [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Shahzad K., Bionaz M., Trevisi E., Bertoni G., Rodriguez-Zas S. L., and Loor J. J.. 2014. Integrative analyses of hepatic differentially expressed genes and blood biomarkers during the peripartal period between dairy cows overfed or restricted-fed energy prepartum. Plos One 9:e99757. doi: 10.1371/journal.pone.0099757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Shi H., Kokoeva M. V., Inouye K., Tzameli I., Yin H., and Flier J. S.. 2006. TLR4 links innate immunity and fatty acid-induced insulin resistance. J. Clin. Invest. 116:3015–3025. doi: 10.1172/JCI28898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  177. Shin S., Joo S. S., Jeon J. H., Park D., Jang M. J., Kim T. O., Kim H. K., Hwang B. Y., Kim K. Y., and Kim Y. B.. 2010. Anti-inflammatory effects of a Houttuynia cordata supercritical extract. J. Vet. Sci. 11:273–275. doi: 10.4142/jvs.2010.11.3.273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  178. Shuster D. E., Lee E. K., and Kehrli M. E. Jr. 1996. Bacterial growth, inflammatory cytokine production, and neutrophil recruitment during coliform mastitis in cows within ten days after calving, compared with cows at midlactation. Am. J. Vet. Res. 57:1569–1575. [PubMed] [Google Scholar]
  179. Silvestre F. T., Carvalho T. S., Crawford P. C., Santos J. E., Staples C. R., Jenkins T., and Thatcher W. W.. 2011. Effects of differential supplementation of fatty acids during the peripartum and breeding periods of Holstein cows: II. Neutrophil fatty acids and function, and acute phase proteins. J. Dairy Sci. 94:2285–2301. doi: 10.3168/jds.2010-3371. [DOI] [PubMed] [Google Scholar]
  180. Sipka A. S., Chandler T. L., Behling-Kelly E. L., Overton T. R., and Mann S.. 2020. The effect of ex vivo lipopolysaccharide stimulation and nutrient availability on transition cow innate immune cell AKT/mTOR pathway responsiveness. J. Dairy Sci. 103:1956–1968. doi: 10.3168/jds.2019-17307. [DOI] [PubMed] [Google Scholar]
  181. Sordillo L. M. 2016. Nutritional strategies to optimize dairy cattle immunity. J. Dairy Sci. 99:4967–4982. doi: 10.3168/jds.2015-10354. [DOI] [PubMed] [Google Scholar]
  182. Sordillo L. M., and Aitken S. L.. 2009. Impact of oxidative stress on the health and immune function of dairy cattle. Vet. Immunol. Immunopathol. 128:104–109. doi: 10.1016/j.vetimm.2008.10.305. [DOI] [PubMed] [Google Scholar]
  183. Sordillo L. M., Contreras G. A., and Aitken S. L.. 2009. Metabolic factors affecting the inflammatory response of periparturient dairy cows. Anim. Health Res. Rev. 10:53–63. doi: 10.1017/S1466252309990016. [DOI] [PubMed] [Google Scholar]
  184. Sordillo L. M., and Mavangira V.. 2014. The nexus between nutrient metabolism, oxidative stress and inflammation in transition cows. Anim. Prod. Sci. 54:1204–1214. doi: 10.1071/AN14503. [DOI] [Google Scholar]
  185. Sordillo L. M., O’Boyle N., Gandy J. C., Corl C. M., and Hamilton E.. 2007. Shifts in thioredoxin reductase activity and oxidant status in mononuclear cells obtained from transition dairy cattle. J. Dairy Sci. 90:1186–1192. doi: 10.3168/jds.S0022-0302(07)71605-3. [DOI] [PubMed] [Google Scholar]
  186. Sordillo L. M., Pighetti G. M., and Davis M. R.. 1995. Enhanced production of bovine tumor necrosis factor-alpha during the periparturient period. Vet. Immunol. Immunopathol. 49:263–270. doi: 10.1016/0165-2427(95)05465-0. [DOI] [PubMed] [Google Scholar]
  187. Sordillo L. M., Streicher K. L., Mullarky I. K., Gandy J. C., Trigona W., and Corl C. M.. 2008. Selenium inhibits 15-hydroperoxyoctadecadienoic acid-induced intracellular adhesion molecule expression in aortic endothelial cells. Free Radic. Biol. Med. 44:34–43. doi: 10.1016/j.freeradbiomed.2007.09.002. [DOI] [PubMed] [Google Scholar]
  188. Spears J. W., and Weiss W. P.. 2008. Role of antioxidants and trace elements in health and immunity of transition dairy cows. Vet. J. 176:70–76. doi: 10.1016/j.tvjl.2007.12.015. [DOI] [PubMed] [Google Scholar]
  189. Stevens M. G., Peelman L. J., De Spiegeleer B., Pezeshki A., Van De Walle G. R., Duchateau L., and Burvenich C.. 2011. Differential gene expression of the toll-like receptor-4 cascade and neutrophil function in early- and mid-lactating dairy cows. J. Dairy Sci. 94:1277–1288. doi: 10.3168/jds.2010-3563. [DOI] [PubMed] [Google Scholar]
  190. Suriyasathaporn W., Daemen A. J., Noordhuizen-Stassen E. N., Dieleman S. J., Nielen M., and Schukken Y. H.. 1999. Beta-hydroxybutyrate levels in peripheral blood and ketone bodies supplemented in culture media affect the in vitro chemotaxis of bovine leukocytes. Vet. Immunol. Immunopathol. 68:177–186. doi: 10.1016/s0165-2427(99)00017-3. [DOI] [PubMed] [Google Scholar]
  191. Takeuchi O., and Akira S.. 2010. Pattern recognition receptors and inflammation. Cell 140:805–820. doi: 10.1016/j.cell.2010.01.022. [DOI] [PubMed] [Google Scholar]
  192. Targowski S. P., and Klucinski W.. 1983. Reduction in mitogenic response of bovine lymphocytes by ketone bodies. Am. J. Vet. Res. 44:828–830. [PubMed] [Google Scholar]
  193. Taylor V. J., Cheng Z., Pushpakumara P. G., Beever D. E., and Wathes D. C.. 2004. Relationships between the plasma concentrations of insulin-like growth factor-I in dairy cows and their fertility and milk yield. Vet. Rec. 155:583–588. doi: 10.1136/vr.155.19.583. [DOI] [PubMed] [Google Scholar]
  194. Trebble T. M., Wootton S. A., Miles E. A., Mullee M., Arden N. K., Ballinger A. B., Stroud M. A., Burdge G. C., and Calder P. C.. 2003. Prostaglandin E2 production and T cell function after fish-oil supplementation: response to antioxidant cosupplementation. Am. J. Clin. Nutr. 78:376–382. doi: 10.1093/ajcn/78.3.376. [DOI] [PubMed] [Google Scholar]
  195. Trevisi E., Amadori M., Archetti I., Lacetera N., and Bertoni G.. 2011a. Inflammatory response and acute phase proteins in the transition period of high-yielding dairy cows. In: Vea F., editor,Acute phase protein / book 2. Croatia: InTech Rijeka; p. 355–380. [Google Scholar]
  196. Trevisi E., Amadori M., Bakudila A. M., and Bertoni G.. 2009. Metabolic changes in dairy cows induced by oral, low-dose interferon-alpha treatment. J. Anim. Sci. 87:3020–3029. doi: 10.2527/jas.2008-1178. [DOI] [PubMed] [Google Scholar]
  197. Trevisi E., and Bertoni G.. 2008. Attenuation with acetylsalicylate treatments of inflammatory conditions in periparturient dairy cows. In: Quinn P. I., editor. Attenuation of inflammatory conditions in periparturient dairy cows with acetylsalicylate treatments. Hauppauge (NY): Nova Science Publishers, Inc; p. 22–37. [Google Scholar]
  198. Trevisi E., Bertoni G., Lombardelli R., and Minuti A.. 2013. Relation of inflammation and liver function with the plasma cortisol response to adrenocorticotropin in early lactating dairy cows. J. Dairy Sci. 96:5712–5722. doi: 10.3168/jds.2012-6375. [DOI] [PubMed] [Google Scholar]
  199. Trevisi, E., M. Amadori, S. Cogrossi, E. Razzuoli, and G. Bertoni. 2012. Metabolic stress and inflammatory response in high-yielding, periparturient dairy cows. Res. Vet. Sci. 93:695–704. doi: 10.1016/j.rvsc.2011.11.008. [DOI] [PubMed]
  200. Trevisi E., Bionaz M., Ferrari A., and Bertoni G.. 2005. Changes of plasma proteins synthesized by the liver and of performances in periparturient dairy cows affected by inflammations. In: Greppi G. F., Bonizzi L., and Roncada P., editors. 40° symposium of animal production: “From genome to proteome in animal science”. Italy: Lodi; p. 194–201. [Google Scholar]
  201. Trevisi E., Grossi P., Cappelli F. P., Cogrossi S., and Bertoni G.. 2011b. Attenuation of inflammatory response phenomena in periparturient dairy cows by the administration of an ω3 rumen protected supplement containing vitamin E. Ital. J. Anim. Sci. 10(4):277–286. doi:10.4081/ijas.2011.e61. [Google Scholar]
  202. Trevisi E., Jahan N., Bertoni G., Ferrari A., and Minuti A.. 2015. Pro-inflammatory cytokine profile in dairy cows: consequences for new lactation. Ital. J. Anim. Sci. 14:285–292. doi: 10.4081/ijas.2015.3862. [DOI] [Google Scholar]
  203. Trevisi E., Librandi F., and Bertoni G.. 2003. Inflammatory conditions in peri-parturient cows and anti-inflammatory treatments. In: 54rd Annual Meeting EAAP; August 31 to September 3, 2017. Wageningen (The Netherlands): Wageningen Academic Publishers; p. 8:258. [Google Scholar]
  204. Trevisi E., Minuti A., Mezzetti M., Ferrari A., Piccioli-Cappelli F.. 2017. Supplements of Aloe arborescens improve health and inflammo-metabolic status of transition dairy cows. Proceedings of the 22nd Congress of Animal Science and Production Association, June 13 to 16, 2017, Perugia, Italy. Ital. J. Anim. Sci. 16(s1):54–55. [Google Scholar]
  205. Trevisi E., and Minuti A.. 2018. Assessment of the innate immune response in the periparturient cow. Res. Vet. Sci. 116:47–54. doi: 10.1016/j.rvsc.2017.12.001. [DOI] [PubMed] [Google Scholar]
  206. Trevisi E., Moscati L., and Amadori M.. 2016. Chapter 9. Disease-predicting and prognostic potential of innate immune responses to noninfectious stressors: human and animal models. In: Amadori M., editor. The innate immune response to non-infectious stressors. The Netherlands: Elsevier Inc; p. 209–235. [Google Scholar]
  207. Trevisi E., Piccioli-Cappelli F., Cogrossi S., and Grossi P.. 2013b. Administration of an homogenate of Aloe arborescens to periparturient dairy cows: effects on energy metabolism and inflammatory status. Ital. J. Anim. Sci. 12:58. [Google Scholar]
  208. Troutman T. D., Bazan J. F., and Pasare C.. 2012. Toll-like receptors, signaling adapters and regulation of the pro-inflammatory response by PI3K. Cell Cycle 11:3559–3567. doi: 10.4161/cc.21572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Tucker H. A. 1985. Endocrine and neural control of the mammary gland. In: Larson B. L., editor. Lactation. Iowa: The Iowa State University Press; p. 39–79. [Google Scholar]
  210. Turk R., Juretić D., Geres D., Turk N., Rekić B., Simeon-Rudolf V., Robić M., and Svetina A.. 2005. Serum paraoxonase activity in dairy cows during pregnancy. Res. Vet. Sci. 79:15–18. doi: 10.1016/j.rvsc.2004.09.010. [DOI] [PubMed] [Google Scholar]
  211. Valko M., Leibfritz D., Moncol J., Cronin M. T., Mazur M., and Telser J.. 2007. Free radicals and antioxidants in normal physiological functions and human disease. Int. J. Biochem. Cell Biol. 39:44–84. doi: 10.1016/j.biocel.2006.07.001. [DOI] [PubMed] [Google Scholar]
  212. Van Knegsel A. T. M., Hammon H. M., Bernabucci U., Bertoni G., Bruckmaier R. M., Goselink R. M. A., Gross J. J., Kuhla B., Metges C. C., Parmentier H. K., Trevisi E., Troscher A., and Van Vuuren A. M.. 2014. Metabolic adaptation during early lactation: key to cow health, longevity and a sustainable dairy production chain. CAB Rev. Perspect. Agric. Vet. Sci. Nutr. Nat. Resour. 9:1–15. doi: 10.1079/PAVSNNR20149002. [DOI] [Google Scholar]
  213. Van Winden S. C. L., and Kuiper R.. 2003. Left displacement of the abomasum in dairy cattle: recent developments in epidemiological and etiological aspects. Vet. Res. 34:47–56. doi: 10.1051/vetres:2002060. [DOI] [PubMed] [Google Scholar]
  214. Vergadi E., Ieronymaki E., Lyroni K., Vaporidi K., and Tsatsanis C.. 2017. Akt signaling pathway in macrophage activation and M1/M2 polarization. J. Immunol. 198:1006–1014. doi: 10.4049/jimmunol.1601515. [DOI] [PubMed] [Google Scholar]
  215. Wallace C., and Keast D.. 1992. Glutamine and macrophage function. Metabolism. 41:1016–1020. doi: 10.1016/0026-0495(92)90130-3. [DOI] [PubMed] [Google Scholar]
  216. Weaver J. A., Maddox J. F., Cao Y. Z., Mullarky I. K., and Sordillo L. M.. 2001. Increased 15-HPETE production decreases prostacyclin synthase activity during oxidant stress in aortic endothelial cells. Free Radic. Biol. Med. 30:299–308. doi: 10.1016/s0891-5849(00)00466-4. [DOI] [PubMed] [Google Scholar]
  217. Weichhart T., Costantino G., Poglitsch M., Rosner M., Zeyda M., Stuhlmeier K. M., Kolbe T., Stulnig T. M., Hörl W. H., Hengstschläger M., et al. . 2008. The TSC-mTOR signaling pathway regulates the innate inflammatory response. Immunity 29:565–577. doi: 10.1016/j.immuni.2008.08.012. [DOI] [PubMed] [Google Scholar]
  218. Yassad A., Lavoinne A., Bion A., Daveau M., and Husson A.. 1997. Glutamine accelerates interleukin-6 production by rat peritoneal macrophages in culture. FEBS Lett. 413:81–84. doi: 10.1016/s0014-5793(97)00881-8. [DOI] [PubMed] [Google Scholar]
  219. Zhou Z., Bulgari O., Vailati-Riboni M., Trevisi E., Ballou M. A., Cardoso F. C., Luchini D. N., and Loor J. J.. 2016. Rumen-protected methionine compared with rumen-protected choline improves immunometabolic status in dairy cows during the peripartal period. J. Dairy Sci. 99:8956–8969. doi: 10.3168/jds.2016-10986. [DOI] [PubMed] [Google Scholar]

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