Abstract
Simple Summary
The innate and adaptive immune system of dairy cows is impaired during the transition period, leading to an increase in susceptibility to infectious disease. Pegbovigrastim is a recombinant form of a granulocyte colony-stimulating factor that stimulates differentiation of hemopoietic stem cells to granulocytes and shortens maturation time within the bone marrow and release in circulation. The objective of the present study was to explore the effect of pegbovigrastim on whole blood leukocytes by analyzing the expression of 34 genes involved in immune and inflammatory responses immediately after calving in Simmental, a dual-purpose cow breed selected for both meat and milk production, and Holstein, a cow breed highly specialized for milk production. This study provides insight into immune cell functions impacted by pegbovigrastim treatment. Treatment of cows with pegbovigrastim increased the mRNA abundance level of most genes investigated, suggesting a thorough activation of the immune machinery during the critical post-partum period.
Abstract
Pegbovigrastim is a commercial long-acting analog of bovine granulocyte colony-stimulating factor (rbG-CSF) that promotes the increased count and functionality of polymorphonuclear cells in dairy cows around the time of parturition. We hypothesized that pegbovigrastim administered to periparturient cows at approximately seven days before parturition and within 24 hours after calving could affect the profiles of gene networks involved in leukocyte function. Blood was collected on Day 3 after calving from treated groups (pegbovigrastim (PEG); 13 Simmental (seven multiparous and six primiparous) and 13 Holstein (seven multiparous and six primiparous) cows) that received pegbovigrastim (Imrestor; Elanco Animal Health) and controls (CTR; 13 Simmental (seven multiparous and six primiparous) and 13 Holstein (six multiparous and seven primiparous) cows) that received saline solution. Blood from all cows was sampled from the jugular vein in a PAXgene Blood RNA System tube (Preanalytix, Hombrechtikon, Switzerland) for RNA extraction. The RT-qPCR analysis was performed to investigate a panel of 34 genes of interest, representing recognition, immune mediation, migration, cell adhesion, antimicrobial strategies, inflammatory cascade, oxidative pattern, and leukotrienes in whole blood leukocytes. Normalized data were subjected to the MIXED model of SAS (ver. 9.4) with treatment, breed, parity, and their interaction as fixed effects. Compared with CTR, whole blood leukocytes of PEG cows had higher expression of genes involved in recognition and immune modulation (CD14, CD16, MYD88, TLR2, and TLR4), cell adhesion (ITGB2, ITGAL, TLN1, SELL, SELPLG, and CD44), antimicrobial activity (MMP9, LTF, and LCN2), and inflammatory cascade (CASP1, TNFRSF1A, IL1B, IL1R, IL18, IRAK1, NLRP3, and S100A8). This suggested an improvement of migration, adhesion, and antimicrobial ability and an enhanced inflammatory response, which in turn could trigger immune cell activation and enhance function. Expression of SOD2 and ALOX5 was also greater in the PEG group. In contrast, compared with CTR cows, PEG led to lower expression of RPL13A, ALOX15, IL8, and TNF. Overall, leukocytes from Simmental compared with Holstein cows had greater expression of IDO1, RPL13A, ALOX5, CD44, CX3CR1, ITGB2, and TNFA, whereas expression of CD16 and TLR2 was lower. Overall, compared with multiparous cows, primiparous cows had higher expression of IL1B, IL18, MYD88, SELL, and TLR2 and lower expression of MMP9. Simmental cows seemed more sensitive to induction of the immune system after calving, as revealed by the greater abundance of genes involved in immune system adaptation, regardless of pegbovigrastim treatment. Primiparous cows undergoing a new stress condition with respect to older cows were characterized by leukocytes with a higher inflammatory response. In conclusion, pegbovigrastim led to higher expression levels of most genes involved in the processes investigated, suggesting a thorough activation of the immune machinery during the critical post-partum period.
Keywords: pegbovigrastim, Simmental, transition period, PAXgene, gene expression, immune response, leukocytes
1. Introduction
The negative energy balance of dairy cows during the transition period is associated with reduced immune function and increased concentrations of some blood metabolites due to tissue mobilization [1,2]. Polymorphonuclear neutrophil (PMN) and lymphocyte functions decrease gradually starting about 2 wk before calving, with the lowest efficiencies between time of calving and two days after [3,4]. Together, these metabolic and immunologic challenges that occur during the peripartal period are important factors that limit the ability of most cows to achieve optimal performance and immune-metabolic status [5,6]. In order to improve immune efficiencies around parturition, a long-acting recombinant bovine granulocyte colony-stimulating factor (rbG-CSF; pegbovigrastim, Imrestor, Elanco Animal Health, Greenfield, IN) was recently developed. The colony stimulating factor is normally produced by a variety of cells including monocytes, macrophages, and cells of mesodermal origin including vascular endothelial cells, fibroblasts, and keratinocytes [7,8]. It induces differentiation of progenitor cells into mature neutrophils, shortens maturation time within the bone marrow, and alters functionality by increasing phagocytosis and antibody-dependent cell-mediated cytotoxicity [9]. Previous studies reported that pegbovigrastim treatment increased PMN number and improved bacteria engulfment and cytotoxicity by PMN in periparturient Holstein cows [10,11].
Application of transcriptomics tools have enhanced our understanding of the molecular mechanisms controlling the basic functions of immune cells during stressful periods [12,13]. Crookenden et al. [14] reported an altered inflammatory gene expression response in neutrophils during the transition period, which confirmed evidence of changes in PMN function in response to calving. In this respect, Heiser et al. [15] hypothesized that pegbovigrastim could have affected gene expression networks of neutrophils supporting their functions during the periparturient period. Indeed, the authors reported a greater abundance of genes involved in migration, pattern recognition, and inflammatory response. In addition, pegbovigrastim also affected RNA expression in uterine cells of genes involved in cell adhesion, recognition, inflammation, and antimicrobial functions, suggesting greater ability of neutrophils to migrate into their target tissues. It is noteworthy that studies on immune dysfunction and impairment of neutrophil function during the transition period have been undertaken using high-yielding dairy cows or cows in pasture-based systems, but only using Holsteins. Thus, the objective of the present study was to explore the effects of pegbovigrastim on whole blood leukocyte gene networks by analyzing the transcription profiles of 34 genes involved in recognition, immune mediation functions, migration, cell adhesion, antimicrobial strategies, inflammatory cascade, oxidative stress, and leukotriene production from Simmental and Holstein cows immediately after calving.
Furthermore, we previously provided evidence of unique expression marks immediately after parturition between immune cells of Simmental cows and Holstein cows [16]. Hence, we hypothesized that leukocyte gene expression response after administration of pegbovigrastim would differ between cows highly specialized for milk production, Holsteins, and a dual-purpose cow breed selected for both meat and milk production, such as Simmentals.
2. Materials and Methods
2.1. Animals, Treatments, and PAXgene Blood Sampling
The trial was carried out in accordance with Italian laws on animal experimentation (DL n. 26, 04/03/2014) and ethics (Authorization of Italian Health Ministry N 403/2017-PR). The experimental design involved 26 Simmental (14 multiparous and 12 primiparous) and 26 Holstein cows (13 multiparous and 13 primiparous). Details of management, diet, health status, and metabolic status have been published previously [17]. Briefly, management procedures for Simmental and Holstein cows were similar: cows were fed a total mixed ration (TMR) once daily (0700 and 0800 h, lactating and dry cows, respectively) and after parturition milked twice daily (at 0500 and 1700 h). Once enrolled in the study, cows were alternately assigned into 2 groups based on expected calving date and parity: treated group (pegbovigrastim (PEG); 13 Simmental (7 multiparous and 6 primiparous) and 13 Holstein (7 multiparous and 6 primiparous) cows) that received pegbovigrastim (Imrestor; Elanco Animal Health) and control group (CTR; 13 Simmental (7 multiparous and 6 primiparous) and 13 Holstein (6 multiparous and 7 primiparous) cows) that received saline solution. Treatments were administered via subcutaneous injection in the scapular region using prefilled syringes, provided by the manufacturer, for PEG (15 mg of pegbovigrastim in 2.7 mL solution) and syringes with an 18 gauge × 2.5-cm needle for CTR (2.7 mL of sterile saline). The first dose was administrated approximately 7 days before expected parturition, depending on the judgement of investigators based on physical changes including swelling of vulva and filling of udder. The second dose was administrated within 24 h after calving. On Day 3 after calving, blood was sampled from the jugular vein into PAXgene Blood RNA System tubes (Preanalytix, Hombrechtikon, Switzerland) for RNA extraction. The use of PAXgene tubes in cattle has been reported previously [16,18,19].
2.2. RNA Extraction, cDNA Synthesis, Target Genes, and Quantitative PCR
The complete procedure for RNA extraction from PAXgene RNA tubes was performed following the manufacturer’s protocol (Blood RNA Kit Handbook, PreAnalitix GmbH, Quiagen, Hilden, Germany), and the protocol used for cDNA synthesis was exactly the same as that reported by Lopreiato et al. [16]. Briefly, the reaction was performed in an Eppendorf Mastercycler® Gradient (Eppendorf, Hamburg, Germany) using the following temperature program: 25 °C for 5 min, 42 °C for 60 min, and 70 °C for 5 min. The resulting cDNA was diluted 1:4 (v:v) with DNase/RNase-free water and stored at −80 °C until qPCR reaction. Genes under investigation selected for transcript analysis were those related to recognition and immune mediation functions (CD14, CD16, MYD88, TLR2, and TLR4), migration and cell adhesion (CCR2, CX3CR1, ITGB2, ITGAL, TLN1, SELL, SELPLG, CD44, and LGALS8), antimicrobial strategies (MMP9, LTF, MPO, LCN2, and IDO1), oxidative stress (SOD1 and SOD2), leukotriene function (ALOX5 and ALOX15), and genes related to the inflammatory cascade (CASP1, TNFRSF1A, IL1B, IL1R, IL8, IL18, IRAK1, TNF, NLRP3, S100A8, and RPL13A). The complete procedure for the PCR primers’ validation and information was published elsewhere [16]. The qPCR was performed in an Optical 384-Well Reaction Plate (CFX384 Touch; Bio-Rad, Hercules, CA, USA). Complete details of the procedure were previously reported by Lopreiato et al. [16].
2.3. RT-PCR Data Analysis
The qPCR efficiency and quantification cycle values were obtained for each reaction using LinRegPCR (Version 2017.1), a program for the analysis of quantitative RT-PCR (qPCR) data resulting from monitoring the PCR reaction with SYBR green or similar fluorescent dyes. The program determines a baseline fluorescence and carries out a baseline subtraction. Then, a window-of-linearity was set, and PCR efficiencies per sample were calculated. With the mean PCR efficiency per amplicon, the Cq value per sample, the fluorescence threshold (set to determine the Cq), and the starting concentration per sample (expressed in arbitrary fluorescence units) were calculated. The final data were normalized using the geometric mean of 3 internal control genes: ACTB, SDHA, and YWHAZ. These internal control genes were previously confirmed as suitable for PMNL gene expression analysis [13,14,16]. Furthermore, the stability of the normalization factor of these 3 endogenous control genes was assessed using GeNorm software with a favorable final pairwise variation of 0.11, and no improvement was obtained in stability with the addition of a fourth endogenous control gene.
2.4. Statistical Analysis
Statistical analysis was performed using ANOVA in the MIXED procedure of SAS Version 9.4 (SAS Institute Inc., Cary, NC) according to the following model:
Yijkl = μ + Bi + Gj + Pk + BGij + GPjk + BGPijk + cm:ij + εijkl; | (1) |
where Yijkl = dependent continuous variable, μ = overall mean, Bi = fixed effect of breed (i = Simmental vs. Holstein), Gj = fixed effect of treatment (j = PEG vs. CTR), Pk = fixed effect of parity (primiparous vs. multiparous), BGij = interaction between breed and treatment, GPjk = interaction between treatment and parity, BGTijk = interaction among breed, treatment, and parity, cm:ij = random effect of the mth animal (cow) nested within breed × treatment × parity, and εijkl = residual error. The Kenward–Roger statement was used for computing the denominator degrees of freedom. The normality of the data was checked with the Univariate procedure of SAS (ver. 9.4). Variables not normally distributed were log10 transformed. Asterisks in tables with results indicate variables that were transformed. Data were considered significant at p ≤ 0.05 using the p-values for differences (PDIFF) statement in SAS (ver. 9.4).
3. Results
The first dose was administered at approximately 7 d (on average, 7.80 ± 5.50 d) before expected parturition, depending on the judgment of the investigators, based on physical changes including swelling of vulva and filling of udder. The second dose was administered within 24 h after calving.
Genes were grouped into functional pathways (Table 1, Table 2, Table 3, Table 4 and Table 5) and reported as least squared means (LSM) of arbitrary mRNA abundance with the standard error of the mean (SEM) and the significance of group, breed, parity, and their interaction effect (p-value). The interaction of breed × parity was not taken into account in the current study because we focused on the main effects alone and their interaction with treatment only.
Table 1.
p-Values | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Breed 1 | Parity 2 | Group X | ||||||||||
Target | Group | H | S | P | M | SEM3 | Group | Breed | Parity | Breed | Parity | Breed × Parity |
CD14 * | CTR | 4.33 | 4.11 | 4.20 | 4.25 | 0.17 | < 0.01 | 0.39 | 0.95 | 0.33 | 0.70 | 0.26 |
PEG | 4.74 | 4.75 | 4.76 | 4.72 | ||||||||
CD16 | CTR | 89.13 | 111.84 | 104.90 | 96.07 | 21.28 | < 0.01 | 0.71 | 0.58 | 0.06 | 0.96 | 0.33 |
PEG | 178.66 | 145.28 | 165.63 | 158.31 | ||||||||
MYD88 * | CTR | 5.16 | 5.23 | 5.29 | 5.10 | 0.16 | < 0.01 | 0.22 | 0.04 | 0.07 | 0.68 | 0.91 |
PEG | 6.38 | 6.03 | 6.34 | 6.06 | ||||||||
TLR2 * | CTR | 3.95 | 3.74 | 3.93 | 3.76 | 0.13 | < 0.01 | < 0.01 | 0.02 | 0.40 | 0.59 | 0.64 |
PEG | 4.78 | 4.42 | 4.73 | 4.47 | ||||||||
TLR4 * | CTR | −1.64 | −1.61 | −1.38 | −1.87 | 0.70 | < 0.01 | 0.32 | 0.20 | 0.30 | 0.81 | 0.14 |
PEG | 0.31 | −0.67 | 0.18 | −0.55 |
* Log10 transformed data. 1 H: Holstein; S: Simmental. 2 P: primiparous; M: multiparous. 3 Greatest SEM.
Table 2.
p-Values | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Breed 1 | Parity 2 | Group X | ||||||||||
Target | Group | H | S | P | M | SEM 3 | Group | Breed | Parity | Breed | Parity | Breed × Parity |
CCR2 * | CTR | 3.58 | 3.60 | 3.53 | 3.65 | 0.18 | 0.27 | 0.53 | 0.36 | 0.66 | 0.91 | 0.49 |
PEG | 3.66 | 3.79 | 3.68 | 3.78 | ||||||||
CX3CR1 | CTR | 17.57 | 24.85 | 20.31 | 22.11 | 3.32 | 0.70 | 0.02 | 0.34 | 0.48 | 0.86 | 0.78 |
PEG | 18.31 | 22.36 | 19.02 | 21.65 | ||||||||
ITGB2 | CTR | 196.64 | 229.40 | 209.78 | 216.26 | 20.67 | < 0.01 | 0.05 | 0.70 | 0.72 | 0.94 | 0.98 |
PEG | 311.46 | 334.14 | 320.59 | 325.01 | ||||||||
ITGAL 4 | CTR | 45.98 | 51.49 | 50.17 | 47.31 | 6.08 | < 0.01 | 0.46 | 0.47 | 0.04 | 0.97 | 0.92 |
PEG | 72.02 | 60.33 | 67.79 | 64.57 | ||||||||
TLN1 | CTR | 236.39 | 252.30 | 256.96 | 231.73 | 27.71 | < 0.01 | 0.35 | 0.20 | 0.07 | 0.89 | 0.81 |
PEG | 376.92 | 328.25 | 362.71 | 342.45 | ||||||||
SELL * | CTR | 6.25 | 6.26 | 6.32 | 6.19 | 0.13 | < 0.01 | 0.09 | 0.05 | 0.06 | 0.55 | 0.91 |
PEG | 7.29 | 6.97 | 7.25 | 7.02 | ||||||||
SELPLG * ,4 | CTR | 5.44 | 5.61 | 5.59 | 5.45 | 0.14 | < 0.01 | 0.70 | 0.13 | 0.03 | 0.90 | 0.67 |
PEG | 6.48 | 6.23 | 6.43 | 6.27 | ||||||||
CD44 | CTR | 160.76 | 202.64 | 172.41 | 190.99 | 15.79 | < 0.01 | < 0.01 | 0.93 | 0.28 | 0.11 | 0.70 |
PEG | 236.07 | 254.13 | 253.50 | 236.70 | ||||||||
LGALS8 * | CTR | 3.57 | 3.70 | 3.67 | 3.60 | 0.17 | 0.47 | 0.60 | 0.68 | 0.51 | 0.87 | 0.25 |
PEG | 3.73 | 3.71 | 3.73 | 3.70 |
Table 3.
p-Values | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Breed1 | Parity2 | Group X | ||||||||||
Target | Group | H | S | P | M | SEM3 | Group | Breed | Parity | Breed | Parity | Breed × Parity |
MMP9* (4) | CTR | 4.31 | 3.73 | 3.74 | 4.31 | 0.27 | < 0.01 | 0.35 | 0.04 | 0.03 | 0.33 | 0.84 |
PEG | 5.26 | 5.49 | 5.27 | 5.48 | ||||||||
LTF* (4) | CTR | 1.57 | −0.07 | 0.26 | 1.23 | 0.59 | < 0.01 | 0.17 | 0.17 | 0.01 | 0.32 | 0.29 |
PEG | 3.78 | 4.28 | 3.95 | 4.10 | ||||||||
MPO* | CTR | 0.80 | 1.30 | 0.91 | 1.20 | 0.40 | < 0.01 | 0.13 | 0.47 | 0.74 | 0.73 | 0.29 |
PEG | 2.28 | 2.61 | 2.39 | 2.50 | ||||||||
LCN2* | CTR | 3.41 | 2.87 | 3.05 | 3.24 | 0.41 | < 0.01 | 0.92 | 0.39 | 0.50 | 0.84 | 0.54 |
PEG | 4.78 | 5.38 | 4.93 | 5.23 | ||||||||
IDO1 (4) | CTR | 33.38 | 57.36 | 42.23 | 48.52 | 7.52 | 0.07 | < 0.01 | 0.40 | 0.14 | 0.04 | 0.38 |
PEG | 31.65 | 39.98 | 43.32 | 28.31 |
Table 4.
p-Values | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Breed 1 | Parity 2 | Group X | |||||||||||
Target | Group | H | S | P | M | SEM 3 | Group | Breed | Parity | Breed | Parity | Breed × Parity | |
CASP1 | CTR | 27.84 | 27.79 | 28.79 | 26.83 | 2.72 | < 0.01 | 0.57 | 0.34 | 0.59 | 0.93 | 0.72 | |
PEG | 35.09 | 33.02 | 34.87 | 33.25 | |||||||||
TNFRSF1A* | CTR | 5.24 | 5.36 | 5.28 | 5.32 | 0.11 | < 0.01 | 0.83 | 0.61 | 0.16 | 0.35 | 0.84 | |
PEG | 6.08 | 5.99 | 6.09 | 5.98 | |||||||||
IL1B* (4) | CTR | 4.22 | 4.72 | 4.66 | 4.28 | 0.24 | < 0.01 | 0.48 | 0.02 | 0.02 | 0.92 | 0.55 | |
PEG | 5.89 | 5.63 | 5.97 | 5.55 | |||||||||
IL1R* | CTR | 3.31 | 3.44 | 3.38 | 3.37 | 0.12 | < 0.01 | 0.24 | 0.83 | 0.71 | 0.95 | 0.75 | |
PEG | 3.96 | 4.02 | 4.00 | 3.98 | |||||||||
IL8* | CTR | 3.23 | 2.80 | 3.00 | 3.03 | 0.29 | 0.02 | 0.13 | 0.67 | 0.55 | 0.55 | 0.61 | |
PEG | 2.62 | 2.43 | 2.63 | 2.42 | |||||||||
IL18* | CTR | 2.48 | 2.43 | 2.58 | 2.33 | 0.45 | < 0.01 | 0.25 | 0.04 | 0.31 | 0.22 | 0.24 | |
PEG | 4.93 | 4.26 | 5.11 | 4.08 | |||||||||
IRAK1 | CTR | 41.60 | 40.30 | 42.11 | 39.79 | 3.32 | < 0.01 | 0.65 | 0.24 | 0.90 | 0.87 | 0.51 | |
PEG | 58.82 | 58.08 | 59.99 | 56.91 | |||||||||
TNF | CTR | 9.30 | 10.97 | 9.88 | 10.39 | 0.82 | 0.02 | < 0.01 | 0.93 | 0.55 | 0.41 | 0.39 | |
PEG | 7.66 | 10.00 | 9.04 | 8.62 | |||||||||
NLRP3* | CTR | 3.46 | 3.44 | 3.50 | 3.40 | 0.13 | < 0.01 | 0.20 | 0.30 | 0.28 | 0.98 | 0.51 | |
PEG | 4.29 | 4.07 | 4.23 | 4.13 | |||||||||
S100A8 | CTR | 1235.74 | 819.56 | 951.22 | 1104.09 | 386.69 | < 0.01 | 0.29 | 0.99 | 0.62 | 0.57 | 0.83 | |
PEG | 2467.31 | 2314.12 | 2464.71 | 2316.71 | |||||||||
RPL13A | CTR | 931.33 | 1089.30 | 1063.98 | 956.66 | 96.06 | < 0.01 | 0.05 | 0.13 | 0.22 | 0.91 | 0.93 | |
PEG | 752.68 | 878.89 | 869.84 | 761.73 |
* Log10 transformed data. 1 H: Holstein; S: Simmental. 2 P: primiparous; M: multiparous. 3 Greatest SEM. 4 LSM of arbitrary mRNA abundance comparisons reported in Figure 6.
Table 5.
p-Values | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Breed 1 | Parity 2 | Group X | |||||||||||
Target | Group | H | S | P | M | SEM 3 | Group | Breed | Parity | Breed | Parity | Breed × Parity | |
SOD1 * | CTR | 4.08 | 4.11 | 4.16 | 4.03 | 0.11 | 0.29 | 0.55 | 0.10 | 0.35 | 0.94 | 0.34 | |
PEG | 4.07 | 3.96 | 4.08 | 3.95 | |||||||||
SOD2 * | CTR | 5.48 | 5.60 | 5.66 | 5.42 | 0.28 | < 0.01 | 0.49 | 0.07 | 0.17 | 0.64 | 0.95 | |
PEG | 7.25 | 6.89 | 7.27 | 6.87 | |||||||||
ALOX5 | CTR | 17.61 | 23.71 | 17.40 | 23.92 | 4.28 | < 0.01 | < 0.01 | 0.06 | 0.23 | 0.76 | 0.60 | |
PEG | 22.30 | 35.48 | 26.52 | 31.26 | |||||||||
ALOX15 | CTR | 23.83 | 34.06 | 27.75 | 30.14 | 5.40 | 0.02 | 0.09 | 0.68 | 0.30 | 0.82 | 0.77 | |
PEG | 18.92 | 21.37 | 19.79 | 20.50 |
* Log10 transformed data. 1 H: Holstein; S: Simmental. 2 P: primiparous; M: multiparous. 3 Greatest SEM.
3.1. Expression of Genes Involved in the TLR Pathway and Immune Mediation
Expression of genes involved in toll-like receptor (TLR) signaling, TLR2, TLR4, MYD88, and CD14, was greater in PEG cows compared with CTR cows (p < 0.05; Table 1). Similarly, CD16 expression (involved in the removal of the antigen-antibody complex from the circulation) was greater in PEG cows compared with CTR cows (p < 0.05; Table 1). Overall, leukocytes of Holstein cows were characterized by a greater abundance of TLR2, which also was higher in primiparous cows (p < 0.05; Table 1). Furthermore, a main effect of parity was detected for MYD88 expression resulting from higher values in primiparous compared with multiparous cows (p < 0.05; Table 1).
3.2. Expression of Genes Involved in Cell Migration and Adhesion
The expression of genes involved in migration and adhesion of immune cells is presented in Table 2. CCR2 and CX3CR1, involved in cell chemotaxis, were not affected by pegbovigrastim (p > 0.10). Treatment with pegbovigrastim led to greater expression of genes encoding integrins (ITGB2 and ITGAL), adhesion molecules (TLN1), selectin (SELL), and selectin ligands (SELPLG and CD44) compared with CTR cows (p < 0.01). A main effect of breed was detected for CX3CR1, ITGB2, and CD44, due to upregulation in Simmental (p ≤ 0.05) compared with Holstein cows. In addition, a group × breed interaction was observed for ITGAL expression. Leukocytes from Holstein PEG cows had higher expression of ITGAL compared with Holstein CTR (p < 0.05; Figure 1), whereas no differences were observed in Simmental cows (p > 0.05). The expression of SELPLG was also affected by group × breed. However, the post-hoc test pointed out no differences between Simmental and Holstein CTR cows and between Simmental and Holstein PEG cows, but a higher expression in PEG cows of both Simmental and Holstein cows (p < 0.05; Figure 2) was obtained, compared with CTR cows of both Simmental and Holstein. Overall, compared with multiparous, leukocytes of primiparous cows had greater expression of SELL (p = 0.05).
3.3. Expression of Genes Involved in Antimicrobial Functions
Compared with CTR, whole blood leukocytes from cows subjected to pegbovigrastim had higher expression of MMP9, LTF, MPO, and LCN2 of the five genes evaluated that are involved in the antimicrobial functions (p < 0.01; Table 3). In particular, expression of MMP9 and LTF was lower in Simmental CTR compared with Holstein CTR (group × breed, p < 0.05; Figure 3 and Figure 4, respectively). However, Simmental PEG displayed a similar expression of MMP9 and LTF compared with Holstein PEG cows (p > 0.05), but higher expression compared with CTR cows for both Simmental and Holstein (p < 0.01). Overall, multiparous cows had higher expression of MMP9 compared with primiparous (p < 0.05). An interaction group × parity effect was detected for IDO1 (p < 0.05; Figure 5), where pegbovigrastim caused a lower abundance in multiparous PEG cows compared with multiparous CTR cows. In addition, the expression of IDO1 was lower in multiparous PEG cows compared with primiparous PEG cows (p > 0.05).
3.4. Expression of Genes Involved in the Inflammatory Response
Table 4 reports the expression of genes involved in the inflammatory pattern. As a result of pegbovigrastim treatment, compared with control cows, expression of CASP1, TNFRSF1A, IL1B, IL1R, IL18, IRAK1, NLRP3, and S100A8 was higher (p < 0.05). In contrast, IL8, TNF, and RPL13A abundance was lowered by pegbovigrastim (p < 0.05). Specifically, IL1B and IL18 expression was affected by parity and only for IL1B by group × breed effects. Primiparous cows had higher IL1B and IL18 expression compared with multiparous (p > 0.05), whereas Holstein CTR cows had lower IL1B expression compared with Simmental CTR (p < 0.05; Figure 6). Overall, leukocytes of Simmental cows had higher expression of TNF and RPL13A compared with Holstein cows (Breed, p < 0.05).
3.5. Expression of Genes Involved in the Oxidative Stress and Leukotrienes
Regarding genes involved in oxidative stress, only SOD2 expression was greater in PEG compared with CTR cows (p < 0.01; Table 5). Expression of genes involved in leukotriene synthesis (ALOX5 and ALOX15) had opposite responses in cows treated with pegbovigrastim (Table 5). For instance, ALOX5 abundance was greater, whereas ALOX15 abundance was lower (p < 0.05) in PEG compared with CTR cows. Overall, Simmental cows displayed a greater expression of ALOX5 compared with Holstein cows (p < 0.05).
4. Discussion
Previous studies from our group provided evidence of a different immunometabolic response between immune cells of Simmental and Holstein cows immediately after parturition [16,17]. Thus, modulation of those genes involved in immune adaptation and inflammatory response are breed-specific and also responsive to pegbovigrastim.
In human, G-CSF is known to influence immune responses modulating immune cell composition, cytokine profiles, immune cell responses, and inflammatory response [20]. Pegbovigrastim is a recombinant bovine G-CSF and was shown to increase the concentrations of circulating mature PMN in the blood and their relative immune function in periparturient dairy cows [21]. To date, only one study evaluated the effect of pegbovigrastim on inflammatory, cell adhesion, and pattern recognition genes in pasture-fed periparturient Holstein and Jersey cows [15].
As evidenced by the higher abundance of all genes investigated (CD14, CD16, MYD88, TLR2, and TLR4), immune-related gene expression changes occurring after pegbovigrastim administration revealed activation of recognition and immune-mediation signaling. Toll-like receptors (TLRs) are pivotal during the innate immune response against pathogens, because they recognize foreign non-self-material and trigger the innate inflammatory through the activation of NF-κB, which in turn leads to the transcription of an array of inflammatory cytokine genes [22]. Hence, expression of an increased number of pattern recognition receptors and their transduction adapters (such as MYD88) is likely to be beneficial. In fact, their signaling rapidly induces various inflammatory cytokines, chemokines, and type I interferons, consequently triggering an array of antimicrobial immune responses [15,23]. The topic-review of Spiekermann et al. [24] summarized several in vitro, as well as human clinical trial outcomes to report that G-CSF and GM-CSF enhance the ability of neutrophils to eliminate microbial organisms. In this regard, TLRs and CD14 play an essential role in mediating this cellular response to a large array of microbial ligands. Our results were in agreement with those reported by Kurt-Jones et al. [25], who found upregulation, in terms of gene transcription and surface protein expression, of TLR2 and CD14 levels in neutrophils and monocytes.
As a consequence of greater levels for relative mRNA of CD14, CD16, MYD88, TLR2, and TLR4, an overall pro-inflammatory response was stimulated by pegbovigrastim treatment as revealed by greater abundance of TNFRSF1A, IL18, IL1R, IRAK1, CASP1, and IL1B, compared with control animals. This outcome confirmed the role of G-CSF in both bovine and humans [26]. In the Supplementary File are reported the KEGG Toll-like receptors (Figure S1) and NF-kappa B (Figure S3) signaling pathways, showing how pegbovigrastim affected the genes investigated and how they signal down-stream. The interleukin-1 (IL-1) family of cytokines and receptors is important in immunology because the IL-1 family and Toll-like receptor (TLR) families share similar functions. More than any other cytokine family, the IL-1 family is primarily associated with innate immunity [27]. Furthermore, proinflammatory cytokines such as IL-1β and TNF-α are key mediators of cell communication within the inflammatory angiogenic area, and they positively regulate the synthesis of proangiogenic factors [27]. In our study, from the simultaneous increase of cytokine and cytokine receptor-related genes (IL1B, IL1R, and TNFRSF1A), which act as checkpoint regulators for the recruitment, trafficking, and maturation of leukocytes during the inflammatory response [15,28], we can speculate that this increment was a reflection of a higher number and a better primary response of the immune cells. All these signaling pathways result in cellular production of proinflammatory cytokines, but if the efficiency of this signal is compromised, there could be repercussions on the production and on expression of proinflammatory cytokines. In fact, TNF and IL8 expression was lower after treatment, counteracting in part the inflammation process. In this regard, it is noteworthy to report that the lower expression of TNF and IL8 was consistent with the study of Fukuzono et al. [29]. From human peripheral blood neutrophils, the authors found that G-CSF inhibited LPS-induced IL-8 and TNF-α production, likely via the activation of JAK2/STAT3 (Janus kinase 2/signal transducer and activator of transcription 3), which may be involved in the suppressive effect of G-CSF on these cytokines’ production in human neutrophils. To support the latter, using immortalized mouse macrophages and human monocytic cell line (THP-1), Kim et al. [30] demonstrated that the suppression of LPS-induced TNF-α production by G-CSF was mediated through activation of STAT3 and subsequent inhibition of c-Jun-N-terminal kinases’ (JNKs) activation. The exact mechanism by which G-CSF enhances the gene regulation of some pro-inflammatory cytokines and diminishes others remains poorly understood.
Besides the mRNA increase of TLRs’ gene network, pegbovigrastim treatment increased NLRP3 and CASP1 mRNA relative abundance. These genes encode respectively for the NOD-like receptor protein 3 inflammasome and caspase-1 (or interleukine-1 converting enzyme). The intracellular NOD-like receptor (NLR) family plays a pivotal role in the recognition of intracellular ligands. NOD1 and NOD2, two prototypic NLRs, sense the cytosolic presence of the bacterial peptidoglycan fragments that escape from endosomal compartments, driving the activation of NF-kappa B and MAPK, cytokine production, and apoptosis. On the other hand, a different set of NLRs induces caspase-1 activation through the assembly of multiprotein complexes called inflammasomes. The activated of caspase-1 regulates maturation of the pro-inflammatory cytokines IL-1β and IL-18 [31]. These reviewed findings supported our results, where, from Figure S2 of the Supplementary File, it is clearly evident that pegbovigrastim also “activated” the inflammasome, which in turn led to a down-stream increase, coupled with signals from TLRs pathway, of IL1B and IL18 mRNA abundance. Overall, our findings highlight the role of pegbovigrastim in orchestrating inflammatory response with direct down-stream regulation of related genes (NOD-like receptor signaling pathway, Toll-like receptor signaling pathway, and NF-kappa B signaling pathway).
Overall, pegbovigrastim enhanced leukocyte migration and adhesion gene network expression, as demonstrated by the greater abundance of most genes related to these processes (Figure S4 of the Supplementary File). LFA-1, lymphocyte function-associated antigen-1, is one of the beta-2-integrins, a family of adhesion molecules that mediate firm attachment of mainly lymphocytes, but also monocytes and neutrophils [32] to endothelial cells following the initial rolling and tethering step [33]. This integrin is formed by the integrin alpha L chain (ITGAL) combined with the beta 2 chain (ITGB2), whose gene expressions were increased after pegbovigrastim treatment. Since LFA-1 is an important accessory adhesion molecule necessary for efficient extravasation of lymphocytes, monocytes, and neutrophils from blood into tissue [34], the increased gene expression of ITGAL and ITGB2 genes in PEG cows compared with CTR may be related to a higher response of these cells to increase the recruitment into tissue, mainly mammary gland and uterus, which are the most challenged after parturition. The activation of SELPLG and SELL genes plays a critical role in leukocyte trafficking during inflammation. In our study, SELPLG and SELL mRNA expressions were higher in both breeds of the PEG group. Contrary to the current findings, Heiser et al. [15] did not observe any influence by pegbovigrastim on migration and cell adhesion gene expression. We hypothesized that the type of immune cell population examined may have affected the outcomes in both studies. Indeed, Heiser et al. [15] isolated neutrophils from blood, whereas the present study took into account the mRNA expression from the total leukocyte population. Furthermore, in both Holstein and Simmental cows, we observed a higher abundance MMP9, in leukocytes of PEG cows. MMP9 is a collagenase that belongs to the gelatinase B group [35], a family of MMPs capable of degrading at least one component of the extracellular matrix or basement membrane. This capability aids in the migration of white blood cells from blood to the site of inflammation. MMP9 is stored in tertiary granules within the bovine neutrophils and is released when neutrophil degranulation is induced by either chemical or microbial stimuli. After release, MMP stimulates neutrophil migration [35]. Hence, leukocyte migration across extracellular matrix proteins is dependent on matrix degradation, not only for facilitating “matrix permeability”, but also for generating extracellular matrix-derived fragments, which are biologically active and can be highly chemotactic for leukocytes [36]. The increase of MMP9 mRNA abundance in PEG cows, thus, is consistent with the greater mRNA levels of ITGAL, ITGB2, SELPLG, and SELL involved in the transendothelial migration of leukocytes (Figure S4). In this respect, pegbograstim treatment was also able to regulate and coordinate the transcription of these pivotal genes, allowing for the migration of leukocytes once relative proteins are properly expressed.
The main effect of breed highlighted the greater abundance of CX3CR1 and CD44 in Simmental compared with Holstein cows. This may be indicative of greater migration and chemotaxis. Chemokine receptors are pivotal for chemotaxis and are essential for immune cell migration during bacterial infection [16]. The CX3CR1 protein is the receptor for CX3CL1, also known as fractalkine. CX3CR1 and its interaction with CX3CL1 mediate chemotaxis of immune cells during inflammatory response [37]. In addition, CD44 was identified as one of three endothelial-selectin (E-selectin) ligands on PMNL; in fact, CD44 plays an important role in the mediation and control of blood PMN recruitment in response to inflammatory signals [38]. Together, the greater abundance of ITGAL, CD44, and CX3CR1 after calving suggested a potential greater influx and adhesion of leukocytes into tissues, likely contributing to decrease the incidence of infection postpartum. Pegbovigrastim treatment enhanced the entire repertoire of genes involved in chemotaxis, cell-cell interaction, and migration, providing evidence of its effect in boosting the regulation of adhesion and migration capacity even after parturition, when cows are challenged by an impairment of gene expression related to the inflammatory and immune response in circulating neutrophils [14].
Pegbovigrastim increased also the mRNA expression of those genes involved in the antimicrobial activity, LTF, MPO, LCN2, and IDO1 in both breeds. When released, MPO causes neutrophils to kill invading pathogens directly by phagocytosis or by the release of antimicrobials [39]. MPO synthesis is mainly limited to myeloid cells in the bone marrow. The influence of pegbovigrastim on MPO expression, an enzyme stored in azurophilic granules of granulocytes, agreed with increased bone marrow production induced by treatment in the study of Trimboli et al. [40]. In this case, our results were opposite those reported by Heiser et al. [15] for the same gene, i.e., pegbovigrastim did not upregulate MPO. However, the study of Heiser et al. [15] led to a small, but significant increase of MPO expression in uterine cells. IDO1 (indoleamine 2,3-dioxygenase), other than mediating immunosuppression, displays antimicrobial and antiviral effects by reducing the availability of the essential amino acid tryptophan in the inflammatory environment [41]. In addition, in pregnancy, IDO1 expression in endothelial cells may inhibit extravasation of microbial pathogens from the blood into the tissue through the depletion of tryptophan in the local tissue adjacent to the blood stream, and this may contribute to protection of the fetus against infection [41]. In our study, there was no effect of PEG on IDO1. However, in PEG Simmental cows, the levels of IDO1 were lower than CTR Simmentals, and in multiparous cows, pegbovigrastim led to lower abundance compared with control cows. The lack of effect of PEG on IDO1 was also confirmed in human studies [42,43], where G-CSF was not able to induce the activation of IDO1 directly. However, this outcome should be further clarified in future studies. In particular, neutrophil maturation is characterized by progressive acquisition of the morphologic, biochemical, and functional features that distinguish the mature neutrophil from other leukocytes. The transition from primitive myeloblast to promyelocyte is marked by the acquisition of primary (“azurophilic” or “nonspecific”) granules, whereas the acquisition of secondary (“neutrophilic” or “specific”) granules accompanies the transition from promyelocyte to myelocyte. Myelocytes exhibit features of the terminal stages of maturation: proliferative capacity is reduced; specific “mature” functions such as phagocytosis and bacterial killing become apparent; and maturation along other granulocyte-monocyte pathways is no longer possible. The acquisition of secondary granules can thus be regarded as a major event in this terminal process [44,45]. In this respect, Rado et al. [44] suggested that lactoferrin (involved in several physiological and protective functions, including regulation of iron absorption in the bowel and mainly antimicrobial activities [46]) is synthetized in developing neutrophils during the maturation process and present in secondary granules of PMNs. Thus, the latter could imply that pegbovigrastim was also able to induce neutrophils’ maturation (supported also by the greater levels of MPO and LCN2), besides the effect of stimulating the formation of granulocyte colonies from bone marrow-derived precursors [40].
Oxidative stress occurs when an imbalance exists between the production of reactive oxygen metabolites and the neutralizing availability of antioxidants [47]. These conditions can contribute and/or lead to the onset of health disorders in cattle, in particular during the transition period [48]. In fact, it has been observed that during the transition period, cows can experience oxidative stress [49], which may exacerbate metabolic disease incidence [47]. In this study, we examined for the first time the effect of pegbovigrastim on oxidative-related genes. SOD2 abundance was greater in the PEG group without differences between the two breeds or between primiparous and multiparous cows. In the study of Crookenden et al. [14], SOD1 expression was lowest at −1 wk, increased on the day of calving, and remained elevated across the 4-wk measurement period. In other recent observations on the oxidative burst following G-CSF treatment in periparturient dairy cows, no significant differences were noted between treatment groups in the release of superoxide anion (oxidative burst) or phagocytosis by PMN during the experimental period [10]. In contrast, others reported a decrease in oxidative burst in the periparturient period [50].
Besides cytokines and chemokines, lipid mediators such as leukotrienes trigger an inflammatory response to attract leukocytes to sites of bacterial infection [51]. The release of arachidonic acid from membrane phospholipids is the first step in the production of leukotrienes, and ALOX5 mediates the conversion of arachidonic acid to 5(S)-hydroperoxy-6-trans-8,11,14-cis-eicosatetraenoic acid, and further to the allylic epoxide 5(S)-trans-7,9-trans-11,14-cis-eicosatetrenoic acid (leukotriene A4). Leukotrienes promote leukocyte recruitment and enhance leukocyte respiratory burst activity, as well as cytokine production [52,53,54]. In particular, leukotriene B4 has been reported to be among the most potent endogenous chemoattractants, and its formation is derived via leukotriene A4 hydrolysis [55]. Thus, the greater abundance of ALOX5 in PEG cows derives from the higher expression of cytokine-related genes (especially IL1B and TNF), confirming the greater sustained immune response of leukocytes from PEG compared with CTR cows. Unlike ALOX5, the expression of ALOX15 in PEG cows was lower compared with CTR cows. 15-lipoxygenase-1 (ALOX15) plays an important role in the formation of key lipid mediators (e.g., lipoxins and resolvins) to terminate inflammation [56]. Hence, the greater abundance of ALOX5 and lower abundance of ALOX15 in PEG cows likely helped sustain the peculiar inflammatory response after pegbovigrastim treatment, which in turn supported immune cell activation and functionality, especially after calving when immune dysregulation occurs.
Therefore, with the exception of IL8, TNF, and ALOX15, in blood leukocytes, the inflammatory cascade resulted in a greater abundance of all genes involved (including ALOX5). This agreed with the fact that pegbovigrastim was able to induce differentiation of myeloid cells into mature granulocytes, which in turn triggered the complex mechanisms of interaction of immune cells with the consequent recruitment of other leukocytes. This response is also supported by the highest expression of antimicrobial activity genes (except for IDO1).
5. Study Limitation
Gene expression profiling has emerged as an important and essential tool to detect any primary response of cells to challenges. The immune system represents the first barrier acting to counteract environmental damages to which cells could be exposed. Hence, gene expression analyses provide information about which genes are expressed, down- or up-regulated, at any specific given time. Nevertheless, by its nature, gene expression profiling does not give information regarding the functional activities of the protein encoded, considering also the post-translational modifications occurring in all living cells, which in turn regulate protein functions. The aim of the present work was to gain insights into the first cellular events that characterize the response of the immune system, impaired in dairy cows during the transition period, upon pegbovigrastim stimulation. We focused on 34 genes of the immune and inflammatory machinery in order to understand how leukocyte transcriptomics of periparturient dairy cows act to face a challenge condition. We are mindful of all limitations that our study had, but only the preliminary analysis of genes involved in recognition, immune mediation functions, migration, cell adhesion, antimicrobial strategies, inflammatory cascade, oxidative stress, and leukotriene production will allow us to plan further studies, focusing on the expression and post-translational modifications of related proteins.
6. Conclusions
Treatment with pegbovigrastim increased mRNA expression of most genes involved in the processes investigated including cell adhesion, migration, recognition, antimicrobial activity, and inflammation cascade. This suggested a complete activation of the immune machinery against the critical period post-partum, at least as a first response of leukocytes to transcriptional regulation. In addition, we shed light onto some differences for parity class and breed. The immune system of Simmental cows could potentially have a more acute response in early lactation, as revealed by the greater expression level of genes involved in immune system adaptation. Clearly, further efforts should be addressed to ascertain whether, when different breeds are compared for innate and adaptive immune response during the transition period, other breed-specific mechanisms are involved.
Supplementary Materials
The following are available online at https://www.mdpi.com/2076-2615/10/4/621/s1: Figure S1: Changes of the whole blood leukocytes gene expression in the KEGG TOLL-LIKE RECEPTOR signaling pathway in PEG compared with CTR cows, regardless the breed; Figure S2: Changes of the whole blood leukocytes gene expression in the KEGG NOD-LIKE RECEPTOR signaling pathway in PEG compared with CTR cows, regardless the breed; Figure S3: Changes of the whole blood leukocytes gene expression in the KEGG NF-KAPPA B signaling pathway in PEG compared with CTR cows, regardless the breed; Figure S4: Changes of the whole blood leukocytes gene expression in the KEGG CELL ADHESION molecules in PEG compared with CTR cows, regardless the breed.
Author Contributions
Conceptualization, E.T., A.M., and V.L.; methodology, A.M. and V.L.; formal analysis, A.M. and V.L.; data curation, V.L., A.M., A.A.S., M.L., and F.T.; writing, original draft preparation, V.L., A.M., F.T., and V.M.M.; writing, review and editing, E.T., J.J.L., D.B., and E.P.; supervision, A.M, E.T., and J.J.L. All authors read and agreed to the published version of the manuscript.
Funding
This project was financially self-funded by the Interdepartmental Services Centre of Veterinary for Human and Animal Health (Department of Health Science, Magna Græcia University) and by “Romeo ed Enrica Invernizzi foundation” (Milan, Italy).
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Kehrli M.E., Nonnecke B.J., Wood R.L., Roth J.A. In vivo effects of a thymosin α1-containing colostral whey product on neutrophils and lymphocytes from lactating cows without and with experimentally induced Staphylococcus aureus mastitis. Vet. Immunol. Immunopathol. 1989;20:149–163. doi: 10.1016/0165-2427(89)90095-0. [DOI] [PubMed] [Google Scholar]
- 2.Ingvartsen K.L., Moyes K. Nutrition, immune function and health of dairy cattle. Animal. 2013;7:112–122. doi: 10.1017/S175173111200170X. [DOI] [PubMed] [Google Scholar]
- 3.Kehrli M.E., Nonnecke B.J., Roth J.A. Alterations in bovine neutrophil function during the periparturient period. Am. J. Vet. Res. 1989;50:207–214. [PubMed] [Google Scholar]
- 4.Batistel F., Arroyo J.M., Garces C.I.M., Trevisi E., Parys C., Ballou M.A., Cardoso F.C., Loor J.J. Ethyl-cellulose rumen-protected methionine alleviates inflammation and oxidative stress and improves neutrophil function during the periparturient period and early lactation in Holstein dairy cows. J. Dairy Sci. 2017;101:480–490. doi: 10.3168/jds.2017-13185. [DOI] [PubMed] [Google Scholar]
- 5.Drackley J.K. Biology of Dairy Cows during the Transition Period: The Final Frontier? J. Dairy Sci. 1999;82:2259–2273. doi: 10.3168/jds.S0022-0302(99)75474-3. [DOI] [PubMed] [Google Scholar]
- 6.Loor J.J., Bionaz M., Drackley J.K. Systems Physiology in Dairy Cattle: Nutritional Genomics and Beyond. Annu. Rev. Anim. Biosci. 2013;1:365–392. doi: 10.1146/annurev-animal-031412-103728. [DOI] [PubMed] [Google Scholar]
- 7.Kehrli M.E., Goff J.P., Stevens M.G., Boone T.C. Effects of Granulocyte Colony-Stimulating Factor Administration to Periparturient Cows on Neutrophils and Bacterial Shedding. J. Dairy Sci. 1991;74:2448–2458. doi: 10.3168/jds.S0022-0302(91)78420-8. [DOI] [PubMed] [Google Scholar]
- 8.Nagata S., Fukunaga R. Granulocyte colony-stimulating factor and its receptor. Prog. Growth Factor Res. 1991;3:131–141. doi: 10.1016/S0955-2235(05)80004-3. [DOI] [PubMed] [Google Scholar]
- 9.Hercus T.R., Thomas D., Guthridge M.A., Ekert P.G., King-Scott J., Parker M.W., Lopez A.F. The granulocyte-macrophage colony-stimulating factor receptor: Linking its structure to cell signaling and its role in disease. Blood. 2009;114:1289–1298. doi: 10.1182/blood-2008-12-164004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kimura K., Goff J.P., Canning P., Wang C., Roth J.A. Effect of recombinant bovine granulocyte colony-stimulating factor covalently bound to polyethylene glycol injection on neutrophil number and function in periparturient dairy cows. J. Dairy Sci. 2014;97:4842–4851. doi: 10.3168/jds.2013-7242. [DOI] [PubMed] [Google Scholar]
- 11.McDougall S., LeBlanc S.J., Heiser A. Effect of prepartum energy balance on neutrophil function following pegbovigrastim treatment in periparturient cows. J. Dairy Sci. 2017;100:7478–7492. doi: 10.3168/jds.2017-12786. [DOI] [PubMed] [Google Scholar]
- 12.Weber P.S.D., Madsen-Bouterse S.A., Rosa G.J.M., Sipkovsky S., Ren X., Almeida P.E., Kruska R., Halgren R.G., Barrick J.L., Burton J.L. Analysis of the bovine neutrophil transcriptome during glucocorticoid treatment. Physiol. Genom. 2006;28:97–112. doi: 10.1152/physiolgenomics.00094.2006. [DOI] [PubMed] [Google Scholar]
- 13.Moyes K.M., Graugnard D.E., Khan M.J., Mukesh M., Loor J.J. Postpartal immunometabolic gene network expression and function in blood neutrophils are altered in response to prepartal energy intake and postpartal intramammary inflammatory challenge. J. Dairy Sci. 2014;97:2165–2177. doi: 10.3168/jds.2013-7433. [DOI] [PubMed] [Google Scholar]
- 14.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. Parturition in dairy cows temporarily alters the expression of genes in circulating neutrophils. J. Dairy Sci. 2016;99:6470–6483. doi: 10.3168/jds.2015-10877. [DOI] [PubMed] [Google Scholar]
- 15.Heiser A., LeBlanc S.J., McDougall S. Pegbovigrastim treatment affects gene expression in neutrophils of pasture-fed, periparturient cows. J. Dairy Sci. 2018;101:8194–8207. doi: 10.3168/jds.2017-14129. [DOI] [PubMed] [Google Scholar]
- 16.Lopreiato V., Minuti A., Morittu V.M., Britti D., Piccioli-Cappelli F., Loor J.J., Trevisi E. Short communication: Inflammation, migration, and cell-cell interaction-related gene network expression in leukocytes is enhanced in Simmental compared with Holstein dairy cows after calving. J. Dairy Sci. 2019;103:1908–1913. doi: 10.3168/jds.2019-17298. [DOI] [PubMed] [Google Scholar]
- 17.Lopreiato V., Minuti A., Trimboli F., Britti D., Morittu V.M., Cappelli F.P., Loor J.J., Trevisi E. Immunometabolic status and productive performance differences between periparturient Simmental and Holstein dairy cows in response to pegbovigrastim. J. Dairy Sci. 2019;102:9312–9327. doi: 10.3168/jds.2019-16323. [DOI] [PubMed] [Google Scholar]
- 18.Sandri M., Stefanon B., Loor J.J. Transcriptome profiles of whole blood in Italian Holstein and Italian Simmental lactating cows diverging for genetic merit for milk protein. J. Dairy Sci. 2015;98:6119–6127. doi: 10.3168/jds.2014-9049. [DOI] [PubMed] [Google Scholar]
- 19.Pošćić N., Montanari T., D’Andrea M., Licastro D., Pilla F., Ajmone-Marsan P., Minuti A., Sgorlon S. Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome. J. Anim. Sci. Biotechnol. 2017;8:11. doi: 10.1186/s40104-017-0143-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Franzke A. The role of G-CSF in adaptive immunity. Cytokine Growth Factor. Rev. 2006;17:235–244. doi: 10.1016/j.cytogfr.2006.05.002. [DOI] [PubMed] [Google Scholar]
- 21.Powell E.J., Reinhardt T.A., Casas E., Lippolis J.D. The effect of pegylated granulocyte colony-stimulating factor treatment prior to experimental mastitis in lactating Holsteins. J. Dairy Sci. 2018;101:8182–8193. doi: 10.3168/jds.2018-14550. [DOI] [PubMed] [Google Scholar]
- 22.Taraktsoglou M., Szalabska U., Magee D.A., Browne J.A., Sweeney T., Gormley E., MacHugh D.E. Transcriptional profiling of immune genes in bovine monocyte-derived macrophages exposed to bacterial antigens. Vet. Immunol. Immunopathol. 2011;140:130–139. doi: 10.1016/j.vetimm.2010.12.002. [DOI] [PubMed] [Google Scholar]
- 23.Kumar H., Kawai T., Akira S. Pathogen Recognition by the Innate Immune System. Int. Rev. Immunol. 2011;30:16–34. doi: 10.3109/08830185.2010.529976. [DOI] [PubMed] [Google Scholar]
- 24.Spiekermann K., Roesler J., Emmendoerffer A., Elsner J., Welte K. Functional features of neutrophils induced by G-CSF and GM-CSF treatment: Differential effects and clinical implications. Leukemia. 1997;11:466–478. doi: 10.1038/sj.leu.2400607. [DOI] [PubMed] [Google Scholar]
- 25.Kurt-Jones E.A., Mandell L., Whitney C., Padgett A., Gosselin K., Newburger P.E., Finberg R.W. Role of Toll-like receptor 2 (TLR2) in neutrophil activation: GM-CSF enhances TLR2 expression and TLR2-mediated interleukin 8 responses in neutrophils. Blood. 2002;100:1860–1868. doi: 10.1182/blood.V100.5.1860.h81702001860_1860_1868. [DOI] [PubMed] [Google Scholar]
- 26.Buzzeo M.P., Yang J., Casella G., Reddy V. Hematopoietic stem cell mobilization with G-CSF induces innate inflammation yet suppresses adaptive immune gene expression as revealed by microarray analysis. Exp. Hematol. 2007;35:1456–1465. doi: 10.1016/j.exphem.2007.06.001. [DOI] [PubMed] [Google Scholar]
- 27.Dinarello C.A. Overview of the IL-1 family in innate inflammation and acquired immunity. Immunol. Rev. 2018;281:8–27. doi: 10.1111/imr.12621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Schmidt S., Moser M., Sperandio M. The molecular basis of leukocyte recruitment and its deficiencies. Mol. Immunol. 2013;55:49–58. doi: 10.1016/j.molimm.2012.11.006. [DOI] [PubMed] [Google Scholar]
- 29.Fukuzono S., Kato T., Fujita H., Watanabe N., Kitagawa S. Granulocyte colony-stimulating factor negatively regulates Toll-like receptor agonist-induced cytokine production in human neutrophils. Arch. Biochem. Biophys. 2010;495:144–151. doi: 10.1016/j.abb.2010.01.005. [DOI] [PubMed] [Google Scholar]
- 30.Kim S.O., Sheikh H.I., Ha S.-D., Martins A., Reid G. G-CSF-mediated inhibition of JNK is a key mechanism for Lactobacillus rhamnosus-induced suppression of TNF production in macrophages. Cell. Microbiol. 2006;8:1958–1971. doi: 10.1111/j.1462-5822.2006.00763.x. [DOI] [PubMed] [Google Scholar]
- 31.Zhou R., Yazdi A.S., Menu P., Tschopp J. A role for mitochondria in NLRP3 inflammasome activation. Nature. 2011;469:221–225. doi: 10.1038/nature09663. [DOI] [PubMed] [Google Scholar]
- 32.Sumagin R., Prizant H., Lomakina E., Waugh R.E., Sarelius I.H. LFA-1 and Mac-1 Define Characteristically Different Intralumenal Crawling and Emigration Patterns for Monocytes and Neutrophils In Situ. J. Immunol. 2010;185:7057–7066. doi: 10.4049/jimmunol.1001638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Salmi M., Jalkanen S. How Do Lymphocytes Know Where to Go: Current Concepts and Enigmas of Lymphocyte Homing. Academic Press; Cambridge, MA, USA: 1997. pp. 139–218. [DOI] [PubMed] [Google Scholar]
- 34.Springer T.A. Traffic signals for lymphocyte recirculation and leukocyte emigration: The multistep paradigm. Cell. 1994;76:301–314. doi: 10.1016/0092-8674(94)90337-9. [DOI] [PubMed] [Google Scholar]
- 35.Hanthorn C.J., Dewell G.A., Dewell R.D., Cooper V.L., Wang C., Plummer P.J., Lakritz J. Serum concentrations of haptoglobin and haptoglobin-matrix metalloproteinase 9 (Hp-MMP 9) complexes of bovine calves in a bacterial respiratory challenge model. BMC Vet. Res. 2014;10:1–7. doi: 10.1186/s12917-014-0285-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lohr K.M., Kurth C.A., Xie D.L., Seyer J.M., Homandberg G.A. The amino-terminal 29- and 72-Kd fragments of fibronectin mediate selective monocyte recruitment. Blood. 1990;76:2117–2124. doi: 10.1182/blood.V76.10.2117.2117. [DOI] [PubMed] [Google Scholar]
- 37.Lee M., Lee Y., Song J., Lee J., Chang S.-Y. Tissue-specific Role of CX 3 CR1 Expressing Immune Cells and Their Relationships with Human Disease. Immune Netw. 2018;18 doi: 10.4110/in.2018.18.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Gonen E., Nedvetzki S., Naor D., Shpigel N.Y. CD44 is highly expressed on milk neutrophils in bovine mastitis and plays a role in their adhesion to matrix and mammary epithelium. Vet. Res. 2008;39:1–9. doi: 10.1051/vetres:2008005. [DOI] [PubMed] [Google Scholar]
- 39.Teng T.S., Ji A.L., Ji X.Y., Li Y.Z. Neutrophils and immunity: From bactericidal action to being conquered. J. Immunol. Res. 2017;2017 doi: 10.1155/2017/9671604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Trimboli F., Morittu V.M., Di Loria A., Minuti A., Spina A.A., Piccioli-Cappelli F., Trevisi E., Britti D., Lopreiato V. Effect of Pegbovigrastim on Hematological Profile of Simmental Dairy Cows during the Transition Period. Animal. 2019;9:841. doi: 10.3390/ani9100841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Blaschitz A., Gauster M., Fuchs D., Lang I., Maschke P., Ulrich D., Karpf E., Takikawa O., Schimek M.G., Dohr G., et al. Vascular endothelial expression of indoleamine 2,3-dioxygenase 1 forms a positive gradient towards the feto-maternal interface. PLoS ONE. 2011;6:1–11. doi: 10.1371/journal.pone.0021774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Joo Y.D., Lee S.M., Lee S.W., Lee W.S., Lee S.M., Park J.K., Choi I.W., Park S.G., Choi I., Seo S.K. Granulocyte colony-stimulating factor-induced immature myeloid cells inhibit acute graft-versus-host disease lethality through an indoleamine dioxygenase-independent mechanism. Immunology. 2009;128:e632–e640. doi: 10.1111/j.1365-2567.2009.03048.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bonanno G., Procoli A., Mariotti A., Corallo M., Perillo A., Danese S., De Cristofaro R., Scambia G., Rutella S. Effects of pegylated G-CSF on immune cell number and function in patients with gynecological malignancies. J. Transl. Med. 2010;8:114. doi: 10.1186/1479-5876-8-114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Rado T.A., Bollekens J., St Laurent G., Parker L., Benz E.J. Lactoferrin biosynthesis during granulocytopoiesis. Blood. 1984;64:1103–1109. doi: 10.1182/blood.V64.5.1103.1103. [DOI] [PubMed] [Google Scholar]
- 45.Bainton D.F. Neutrophil Granules. Br. J. Haematol. 1975;29:17–22. doi: 10.1111/j.1365-2141.1975.tb01795.x. [DOI] [PubMed] [Google Scholar]
- 46.Sanchez L., Calvo M., Brock J.H. Biological role of lactoferrin. Arch. Dis. Child. 1992;67:657–661. doi: 10.1136/adc.67.5.657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bernabucci U., Ronchi B., Lacetera N., Nardone A. Influence of body condition score on relationships between metabolic status and oxidative stress in periparturient dairy cows. J. Dairy Sci. 2005;88:2017–2026. doi: 10.3168/jds.S0022-0302(05)72878-2. [DOI] [PubMed] [Google Scholar]
- 48.Miller J.K., Brzezinska-Slebodzinska E., Madsen F.C. Oxidative Stress, Antioxidants, and Animal Function. J. Dairy Sci. 1993;76:2812–2823. doi: 10.3168/jds.S0022-0302(93)77620-1. [DOI] [PubMed] [Google Scholar]
- 49.Bernabucci U., Ronchi B., Lacetera N., Nardone A. Markers of oxidative status in plasma and erythrocytes of transition dairy cows during hot season. J. Dairy Sci. 2002;85:2173–2179. doi: 10.3168/jds.S0022-0302(02)74296-3. [DOI] [PubMed] [Google Scholar]
- 50.Piccinini R., Binda E., Belotti M., Casirani G., Zecconi A. The evaluation of non-specific immune status of heifers in field conditions during the periparturient period. Vet. Res. 2004;35:539–550. doi: 10.1051/vetres:2004030. [DOI] [PubMed] [Google Scholar]
- 51.Rubin B.B., Downey G.P., Koh A., Degousee N., Ghomashchi F., Nallan L., Stefanski E., Harkin D.W., Sun C.X., Smart B.P., et al. Cytosolic phospholipase A2-α is necessary for platelet-activating factor biosynthesis, efficient neutrophil-mediated bacterial killing, and the innate immune response to pulmonary infection: cPLA2-α does not regulate neutrophil NADPH oxidase activity. J. Biol. Chem. 2005;280:7519–7529. doi: 10.1074/jbc.M407438200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Zipser R.D., Laffi G. Prostaglandins, thromboxanes and leukotrienes in clinical medicine. West. J. Med. 1985;143:485–497. [PMC free article] [PubMed] [Google Scholar]
- 53.Bottons G.D., Adams H.R. Involvement of prostaglandins and leukotrienes in the pathogenesis of endotoxemia and sepsis. J. Am. Vet. Med. Assoc. 1992;200:1842–1848. [PubMed] [Google Scholar]
- 54.Williams K.I., Higgs G.A. Eicosanoids and inflammation. J. Pathol. 1988;156:101–110. doi: 10.1002/path.1711560204. [DOI] [PubMed] [Google Scholar]
- 55.Serhan C.N., Chiang N., Van Dyke T.E. Resolving inflammation: Dual anti-inflammatory and pro-resolution lipid mediators. Nat. Rev. Immunol. 2008;8:349–361. doi: 10.1038/nri2294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tian R., Zuo X., Jaoude J., Mao F., Colby J., Shureiqi I. ALOX15 as a suppressor of inflammation and cancer: Lost in the link. Prostaglandins Lipid Mediat. 2017;132:77–83. doi: 10.1016/j.prostaglandins.2017.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
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