Skip to main content
Infection and Immunity logoLink to Infection and Immunity
. 2019 Nov 18;87(12):e00703-19. doi: 10.1128/IAI.00703-19

Changes in the Molecular and Functional Phenotype of Bovine Monocytes during Theileria parva Infection

Reginaldo G Bastos a, Kelly Sears a,b, Kelcey D Dinkel a, Donald P Knowles a, Lindsay M Fry a,c,
Editor: De'Broski R Herbertd
PMCID: PMC6867863  PMID: 31570561

Theileria parva is the causative agent of East Coast fever (ECF), a tick-borne disease that kills over a million cattle each year in sub-Saharan Africa. Immune protection against T. parva involves a CD8+ cytotoxic T cell response to parasite-infected cells. However, there is currently a paucity of knowledge regarding the role played by innate immune cells in ECF pathogenesis and T. parva control.

Keywords: Theileria parva, monocytes, monocyte phenotype, monocyte function, bovine, correlate of protection, function, innate immunity, intermediate, phenotype

ABSTRACT

Theileria parva is the causative agent of East Coast fever (ECF), a tick-borne disease that kills over a million cattle each year in sub-Saharan Africa. Immune protection against T. parva involves a CD8+ cytotoxic T cell response to parasite-infected cells. However, there is currently a paucity of knowledge regarding the role played by innate immune cells in ECF pathogenesis and T. parva control. Here, we demonstrate an increase in intermediate monocytes (CD14++ CD16+) with a concomitant decrease in the classical (CD14++ CD16) and nonclassical (CD14+ CD16+) subsets at 12 days postinfection (dpi) during lethal infection but not during nonlethal T. parva infection. Ex vivo analyses of monocytes demonstrated upregulation of interleukin-1 beta (IL-1β) and tumor necrosis factor alpha (TNF-α) mRNA and increased nitric oxide production during T. parva lethal infection compared to nonlethal infection at 10 dpi. Interestingly, no significant differences in peripheral blood parasite loads were observed between lethally and nonlethally infected animals at 12 dpi. In vitro stimulation with T. parva schizont-infected cells or Escherichia coli lipopolysaccharide (LPS) resulted in significant upregulation of IL-1β production by monocytes from lethally infected cattle compared to those from nonlethally infected animals. Strikingly, monocytes from lethally infected animals produced significant amounts of IL-10 mRNA after stimulation with T. parva schizont-infected cells. In conclusion, we demonstrate that T. parva infection leads to alterations in the molecular and functional phenotypes of bovine monocytes. Importantly, since these changes primarily occur in lethal infection, they can serve as biomarkers for ECF progression and severity, thereby aiding in the standardization of protection assessment for T. parva candidate vaccines.

INTRODUCTION

Theileria parva is a tick-borne, apicomplexan hemoparasite that causes East Coast fever (ECF), an economically important disease that kills over a million cattle each year in eastern, central, and southern Africa (1). Control of ECF is currently based on the use of acaricides to limit tick infestation and on the infection and treatment method (ITM) of immunization, in which cattle are injected with ground T. parva-infected ticks and cotreated with long-acting oxytetracycline. The use of acaricides is restricted by expense, equipment availability, environmental regulations, and the development of resistance by tick populations (2). Although ITM consistently elicits immune protection from ECF, its labor- and animal-intensive production cycle, coupled with the requirement for antibiotic cotreatment and liquid nitrogen cold storage of vaccine doses, creates significant cost and logistical barriers to widespread use. Furthermore, ITM-immunized cattle become lifelong carriers of some strains of T. parva, which poses a risk of disease spread (35). Thus, the development of novel approaches to control T. parva is urgently needed. To achieve this goal, it is critical to obtain a better understanding of ECF pathogenesis and the immune mechanisms involved in T. parva protection and susceptibility.

Clinically, ECF is characterized by marked peripheral lymphadenopathy, fever, thrombocytopenia, and leukopenia (6, 7). As the disease progresses, acutely infected animals develop pulmonary edema and pleural effusion, which results in death. We recently demonstrated that respiratory failure and death in ECF are the result of systemic activation of alveolar macrophages and consequent histiocytic vasculitis (7). Although it is well established that immune protection against T. parva requires the development of cytotoxic CD8+ T cells (8, 9), the innate immune response to the infection and its potential role in the development of either protective adaptive immunity or severe pathology remain largely uncharacterized.

Myeloid lineage cells, including monocytes, macrophages, and dendritic cells (DC), play a crucial role in the innate immune response and in skewing adaptive immune mechanisms to control diseases (10, 11). Since monocytes are progenitors of DC and macrophages, they are essential effectors of the innate immune system (12). Initially considered a homogeneous population, monocytes have recently been classified into subsets based on the expression of the surface markers CD14 and CD16 (13). Bovine monocytes have been classified into classical (CD14++ CD16), intermediate (CD14++ CD16+), and nonclassical (CD14+ CD16+) subsets (1416). Although monocyte phenotypes are somewhat conserved among mammalian species, the role played by each subset in infection and inflammation is controversial and often varies between different pathogen systems (1518). Therefore, a more comprehensive picture is needed to clarify the functional aspects of different monocyte subsets in the immune response to relevant pathogens and the implications of these findings in health and disease. As an intracellular hemoprotozoan parasite, T. parva provides an interesting model to investigate innate immune mechanisms, including monocyte function, for related hemoparasitic infections, including Babesia spp. and Plasmodium spp.

In this study, we hypothesized that T. parva infection induces changes in the molecular and functional phenotypes of bovine monocytes, resulting in an alteration of cell activation. To test this hypothesis, we evaluated phenotypic and functional changes in monocytes from cattle (Bos taurus) during T. parva lethal infection (inoculation with parasite stabilate) and nonlethal infection (inoculation with parasite stabilate plus long-acting oxytetracycline). Taken together, the results presented in this study demonstrate alterations of monocytes during T. parva infection with implications for ECF pathogenesis and disease progression.

RESULTS

T. parva infection alters monocyte subset proportions in cattle.

Due to the importance of classical, intermediate, and nonclassical monocytes in the early events of the innate immune response, it was of interest to investigate the relative subset proportions during lethal and nonlethal T. parva infection in cattle. In order to investigate monocyte subsets, peripheral blood mononuclear cells (PBMC) were isolated from blood using Histopaque (Sigma) and utilized for flow cytometric analyses. The cells were gated according to their complexity (side scatter [SSC]) and size (forward scatter [FSC]) to exclude cell debris and granulocytes (Fig. 1A). FSC-height versus FSC-area analysis was performed to identify and eliminate doublets from further cell analysis (data not shown). Gates to define the monocyte subsets were set using one-, two-, and three-color panels and fluorescence-minus-one controls (Fig. 1B and C). Monocyte subsets were defined and color-coded as follows: classical monocytes (CD14++ CD16), blue; intermediate monocytes (CD14++ CD16+), red; and nonclassical monocytes (CD14+ CD16+), green (Fig. 1B and C). In addition, CD335+ NK cells (data not shown), also CD16+, are shown in pink (Fig. 1B) and were excluded from subsequent analysis of monocyte subsets.

FIG 1.

FIG 1

Gating strategy for the identification of monocyte subsets in cattle and proportions of monocyte populations in T. parva-infected animals. (A) PBMC were gated according to their complexity (side scatter [SSC]) and size (forward scatter [FSC]). Log10 was used on the y axis (SSC) and a linear scale used on the x axis (FCS). (B) Dot plot depicting the three monocyte subsets in total PBMC, as follows: classical CD14++ CD16 (blue), intermediate CD14++ CD16+ (red), and nonclassical CD14+ CD16+ (green). In addition, NK cells are shown in pink, and the identity of this population was verified by the expression of CD16 and CD335 (data not shown). (C) Dot plot showing classical (blue), intermediate (red), and nonclassical (green) monocytes. (D to F) Dot plots showing the relative proportions of monocyte subsets in representative uninfected, T. parva lethally infected, and T. parva nonlethally infected cattle. For dot plots shown in panels B to F, log10 was used on both the x and y axes, and the numbers indicate the percentage of each monocyte subset. (G to I) Frequency of monocyte subsets in uninfected (uninfect, n = 15), T. parva lethally infected (lethal, n = 6), and T. parva nonlethally infected (non-lethal, n = 4) cattle. Bars indicate the mean percentage of each monocyte population. Monocyte subset proportions were compared using analysis of variance (ANOVA) and Tukey’s post hoc test. *, P < 0.05.

Next, we investigated the effect of T. parva infection on the relative proportion of each monocyte subset. The percentage of each monocyte subset in representative uninfected, lethally infected (12 days postinfection [dpi]), and nonlethally infected (12 dpi) cattle is presented in Fig. 1D to F, respectively. As an established condition for this study, inoculation with the T. parva Muguga strain sporozoite stabilate Pullman 2015/4 was considered a lethal infection, whereas simultaneous inoculation of the parasite stabilate and treatment with long-acting oxytetracycline was defined as nonlethal infection. The proportion of each monocyte subset in uninfected (n = 15), lethally infected (n = 6), and nonlethally infected (n = 4) cattle is shown Fig. 1G to I. Monocyte phenotype was evaluated at 12 dpi in all infected cattle. At this time point, lethally infected cattle showed a significant decrease (P < 0.05) in classical and nonclassical monocyte subsets compared to those in nonlethally infected and uninfected animals (Fig. 1G and I). In contrast, the percentage of intermediate monocytes increased significantly (P < 0.05) during lethal infection compared to that observed in monocytes from uninfected cattle and those undergoing nonlethal infection (Fig. 1H). To assess the potential role of oxytetracycline treatment in the observed monocyte subset changes, two age-matched Holstein-Friesian steer calves were treated with long-acting oxytetracycline without T. parva infection, and monocyte subset proportions were assessed at 3, 6, 9, and 12 days later. No significant changes in the monocyte subset proportion were observed (see Fig. S1 in the supplemental material). Taken together, these results demonstrate that lethal T. parva infection alters monocyte subset proportions in cattle, characterized by a decrease in classical and nonclassical populations and concomitant increase in the intermediate subset.

Expansion of intermediate monocytes is associated with progression of lethal T. parva infection.

After characterizing the three subsets of bovine monocytes and demonstrating that T. parva infection induces alterations in their relative proportions at 12 dpi, we next compared lethally and nonlethally infected cattle over time to investigate changes in the kinetics of surface expression of CD14 and CD16 on the monocyte subsets. Infected cattle were examined at 3, 7, 9, and 12 dpi. Complete blood cell counts showed a dramatic decrease in the absolute numbers of leukocytes (Fig. 2A), including lymphocytes (Fig. 2B), in whole blood during both lethal and nonlethal infection. However, no significant changes in the absolute number of total monocytes were observed (Fig. 2C). Changes in the kinetics of monocyte subset proportions were evaluated by flow cytometry, as described above (Fig. 2D to F). Analysis revealed a marked decrease in nonclassical monocytes and simultaneous increase in the intermediate subset at 9 and 12 dpi in lethally infected cattle compared to those in nonlethally infected animals (Fig. 2E and F). Interestingly, after day 7 postinfection, the percentage of nonclassical monocytes continued to decrease in lethally infected, but not nonlethally infected, animals (Fig. 2F). Also, after 7 dpi, the percentage of intermediate monocytes continued to increase in lethal, but not nonlethal, T. parva infection (Fig. 2E). These changes corresponded to a rapid clinical decline of lethally infected animals from 7 dpi onward, with all lethally infected cattle requiring euthanasia due to respiratory distress by day 14 postinfection.

FIG 2.

FIG 2

Total white blood cell counts and kinetics of changes in the proportion of classical, intermediate, and nonclassical monocytes during lethal and nonlethal T. parva infection of cattle. (A to C) Absolute numbers of total white blood cells (A), lymphocytes (B), and monocytes (C) in peripheral blood of lethally and nonlethally infected animals. Leukocyte counts were performed using a ProCyte Dx hematology analyzer (Idexx). (D to F) Percentages of classical (D), intermediate (E), and nonclassical (F) monocytes in PBMC from lethally and nonlethally infected cattle throughout acute infection. Averages of subset percentages were compared using Student's t test. *, P < 0.05.

In nonlethally infected animals, the proportion of both intermediate and nonclassical monocyte subsets at 12 dpi was similar to preinfection levels. In addition, from days 3 to 12 postinfection, the frequency of classical monocytes dropped from ∼70% to ∼60% in both lethally and nonlethally infected animals, and no significant differences were observed (Fig. 2D). Collectively, these data demonstrate that an increase in intermediate monocytes and concomitant decrease in nonclassical monocytes correlate with terminal progression of lethal T. parva infection.

T. parva infection induces differential expression of MHC-II and CD163 in monocyte subsets.

To address the question of whether T. parva modulates the expression of effector molecules in monocytes, we investigated monocyte surface expression of major histocompatibility complex class II (MHC-II) and CD163 and levels of soluble CD163 in sera from cattle undergoing lethal and nonlethal T. parva infection. PBMC were isolated as described above, and surface expression of MHC-II and CD163 of each monocyte subset was assessed by flow cytometry at 12 dpi (Fig. 3 and 4). The results revealed significant (P < 0.05) downregulation of MHC-II on nonclassical monocytes during lethal T. parva infection compared to the level observed in monocytes from uninfected and nonlethally infected animals (Fig. 3C). No significant difference in MHC-II expression was detected between the classical and intermediate subsets of lethally and nonlethally infected and uninfected animals (Fig. 3A and B).

FIG 3.

FIG 3

Differential expression of MHC-II by bovine monocyte subsets during T. parva infection. (A to C) Percentages of MHC-II expression on classical (CD14++ CD16) (A), intermediate (CD14++ CD16+) (B), and nonclassical (CD14+ CD16+) (C) monocyte subsets in uninfected (uninfect, n = 6), T. parva lethally infected (lethal, n = 6), and T. parva nonlethally infected (non-lethal, n = 4) cattle. Percentages of MHC-II-positive monocytes were compared using ANOVA and Tukey’s post hoc test. *, P < 0.05. Bars indicate the mean percentage of each monocyte population.

FIG 4.

FIG 4

T. parva infection alters the expression of CD163 on the surface of bovine PBMC and monocyte subsets and the levels of soluble CD163 (sCD163) in sera from infected cattle. (A) Percentages of CD163+ cells in PBMC of uninfected (uninfect, n = 6), T. parva lethally infected (lethal, n = 6), and T. parva nonlethally infected (non-lethal, n = 4) cattle. (B) Amount (in nanograms per milliliter) of soluble CD163 (sCD163) in peripheral blood of uninfected (uninfect, n = 6), T. parva lethally infected (lethal, n = 6), and T. parva nonlethally infected (non-lethal, n = 4) cattle. (C to E) Percentages of CD163+ cells within classical (C), intermediate (D), and nonclassical (E) subsets in PBMC of uninfected (uninfect, n = 6), T. parva lethally infected (lethal, n = 6), and T. parva nonlethally infected (non-lethal, n = 4) cattle. CD163 surface expression and serum sCD163 levels in uninfected and infected animals were compared using ANOVA and Tukey’s post hoc test. *, P < 0.05. Bars in panels A and C to E indicate the mean percentage of each monocyte population.

Next, we evaluated the expression of CD163 on the surface of total PBMC and levels of soluble CD163 in sera from lethally and nonlethally T. parva infected animals at 12 dpi (Fig. 4A and B). The results demonstrated that both lethally and nonlethally T. parva infected animals exhibited significantly increased (P < 0.05) surface CD163 expression in PBMC compared to uninfected animals (Fig. 4A). In addition, we showed that PBMC from lethally infected cattle expressed significantly higher (P < 0.05) levels of CD163 than PBMC from nonlethally infected animals (Fig. 4A). Furthermore, serum from lethally infected animals contained significantly higher (P < 0.05) levels of soluble CD163 than did serum from nonlethally infected and uninfected animals (Fig. 4B). Next, we evaluated the expression of CD163 on the surface of each monocyte subset during lethal and nonlethal T. parva infection. The data showed no significant differences in the surface expression of CD163 in classical and intermediate monocytes during lethal and nonlethal infection compared to that in uninfected control animals (Fig. 4C and D). In contrast, nonclassical monocytes from lethally infected cattle exhibited significantly lower (P < 0.05) surface CD163 expression than did those from nonlethally infected and uninfected individuals (Fig. 4E). Together, these data demonstrate that T. parva infection alters the expression of MHC-II and CD163 on monocytes and the levels of soluble CD163 in sera. The observed changes in MHC-II and CD163 expression were substantially more pronounced during lethal infection and primarily affected the nonclassical monocyte subset.

Lethal T. parva infection leads to upregulation of monocyte proinflammatory mediators.

We next investigated interleukin-1 beta (IL-1β) and tumor necrosis factor alpha (TNF-α) expression and nitric oxide (NO) production by monocytes during lethal and nonlethal T. parva infection. In order to evaluate the entire monocyte population and assess all three subsets simultaneously, we first performed a positive selection of CD172a+ cells. By colabeling CD172a+ selected cells with anti-CD14 and anti-CD16 antibodies, we demonstrated that the CD172a+ population contains the classical, intermediate, and nonclassical monocyte subsets (Fig. 5A to C). Subsequently, we evaluated the kinetics of IL-1β and TNF-α expression in CD172a+ monocytes during lethal and nonlethal T. parva infection using reverse transcriptase quantitative PCR (RT-qPCR). The results demonstrated significant upregulation (P < 0.05) of IL-1β mRNA at 7 and 10 days after lethal infection compared to the level after nonlethal infection (Fig. 5D). Also, TNF-α mRNA was significantly upregulated (P < 0.05) in lethally infected cattle at 10 dpi compared to the level in nonlethally infected animals (Fig. 5E). To evaluate the ability of monocytes to produce NO, CD172a+ cells from lethally and nonlethally infected animals were exposed to exogenous recombinant bovine gamma interferon (IFN-γ) plus recombinant bovine TNF-α. The results demonstrated higher (P < 0.05) NO production by monocytes from lethally infected cattle than by those from nonlethally infected animals (Fig. 5F). Strikingly, despite alterations in cytokine mRNA levels and NO production, no significant difference in peripheral blood parasite loads was detected at 12 dpi between lethal and nonlethal infections (Fig. 5G). Collectively, these data show that lethal T. parva infection induces significant upregulation of IL-1β and TNF-α mRNA in bovine monocytes, and that monocytes from lethally infected animals produced significantly more NO than did those from nonlethally infected cattle. Additionally, these alterations in monocyte function are independent of the parasite load in peripheral blood.

FIG 5.

FIG 5

T. parva upregulates the production of inflammatory mediators by monocytes during lethal infection. (A) Percentage of CD172a+ cells in PBMC of an uninfected, representative steer. (B) Positive selection of CD172a+ cells from PBMC of an uninfected, representative steer. (C) CD172a+ cells include the classical (CD14++ CD16), intermediate (CD14++ CD16+), and nonclassical (CD14+ CD16+) monocyte subsets. (D and E) Expression of mRNA for IL-1β (D) and TNF-α (E) in CD172a+ cells from T. parva lethally infected (n = 6) and nonlethally infected (n = 4) cattle. Gene expression levels were compared using Student's t test. (F) Production of nitric oxide (NO) in CD172a+ cells from T. parva lethally infected (n = 6) and nonlethally infected (n = 4) cattle following 96 h of exposure to exogenous recombinant bovine IFN-γ (50 U/ml; Ciba-Geigy) plus recombinant human TNF-α (2,500 U/ml; R&D Systems). NO production was compared using ANOVA and Tukey’s post hoc test. (G) T. parva peripheral blood parasite load, determined by quantitative PCR, in T. parva lethally (n = 6) and nonlethally (n = 4) infected cattle. Parasite loads were compared using Student's t test. *, P < 0.05.

Monocytes from T. parva lethally and nonlethally infected cattle respond differently to T. parva schizont-infected cells and Escherichia coli LPS.

To investigate potential differential activation of bovine monocytes during T. parva infection, cells from lethally and nonlethally infected animals were exposed in vitro to T. parva schizont-infected lymphocytes or E. coli lipopolysaccharide (LPS). Subsequently, monocyte expression of soluble IL-1β was measured using an enzyme-linked immunosorbent assay (ELISA), and IL-10 expression was assessed using RT-qPCR. It has been demonstrated that T. parva schizonts induce transformation and proliferation of bovine T and B cells. These infected transformed lymphocytes are essentially immortalized and can be cultured in vitro as long as the intralymphocytic parasites remain viable (19). Here, we investigated the effect of T. parva schizont-infected cells on monocytes from lethally and nonlethally infected cattle. The T. parva schizont-infected immortalized cell lines were established and maintained as previously described (19) and were routinely checked for the presence of T. parva schizonts using intracellular staining for the T. parva polymorphic immunodominant molecule (PIM) (Fig. 6A). We next investigated whether the T. parva-infected lymphocyte lines produced cytokines that could potentially modulate monocyte activation. Using intracellular staining and flow cytometry, we demonstrated that schizont-infected lymphocyte lines produced considerable amounts of IFN-γ (Fig. 6B). The schizont-infected lymphocytes also expressed detectable levels of mRNA for TNF-α and IL-10 (Fig. 6C and D).

FIG 6.

FIG 6

Differential response of monocytes from T. parva lethally and nonlethally infected cattle to T. parva infected cells and E. coli LPS. (A) Intracellular staining for the T. parva polymorphic immunodominant molecule in a representative schizont-infected cell line. (B) Intracellular staining for IFN-γ in a representative schizont-infected cell line. (C and D) Expression of mRNA for TNF-α (C) and IL-10 (D) in a representative schizont-infected cell line at 4 and 16 h after Histopaque centrifugation. (E) Levels of soluble IL-1β in CD172a+ cell supernatant following stimulation of monocytes from uninfected (n = 6), T. parva lethally infected (n = 6), and T. parva nonlethally infected (n = 4) cattle with T. parva schizont-infected cells (using a transwell format) or E. coli LPS (1 μg/ml). Amounts of soluble IL-1β were compared using ANOVA and Tukey’s post hoc test. (F) Expression of IL-10 mRNA in CD172a+ cells from T. parva lethally infected (n = 6) and nonlethally infected (n = 4) cattle following stimulation with T. parva schizont-infected cells (using a transwell format) or E. coli LPS (1 μg/ml). IL-10 mRNA expression was compared using ANOVA and Tukey’s post hoc test. *, P < 0.05.

In order to investigate monocyte activation, CD172a+ cells from lethally and nonlethally infected animals were positively selected and exposed to T. parva schizont-infected cell lines or E. coli LPS. For the schizont-infected cell stimulation, transwell culture plates were used to prevent cell-to-cell interaction between monocytes and parasite-infected cells. Following stimulation with schizont-infected cells, monocytes from both lethally and nonlethally T. parva-infected cattle produced significantly higher (P < 0.05) levels of IL-1β than did those from uninfected animals. Interestingly, monocytes from lethally infected animals produced significantly more (P < 0.05) IL-1β than did monocytes from nonlethally infected animals when exposed to T. parva schizont-infected cells (Fig. 6E). Monocytes from nonlethally infected cattle also produced significantly less (P < 0.05) IL-1β than did monocytes from lethally infected animals following exposure to E. coli LPS (Fig. 6E). No soluble IL-1β was detected in the supernatant from T. parva schizont-infected cells cultured alone (data not shown). In addition, monocytes from lethally infected animals expressed approximately 10-fold more (P < 0.05) IL-10 mRNA than did those from nonlethally infected animals following exposure to T. parva schizont-infected cells (Fig. 6F). Altogether, these data demonstrate that monocytes from lethally infected cattle respond differently to T. parva-infected cells and E. coli LPS than do monocytes from nonlethally infected animals. Even though lethal infection induces a marked production of the proinflammatory cytokine IL-1β by monocytes, this is contrasted by the expression of considerable amounts of mRNA for the regulatory cytokine IL-10 by these cells.

DISCUSSION

In this study, we sought to investigate changes in the molecular and functional phenotypes of bovine monocytes during T. parva infection. By comparing monocytes from cattle undergoing lethal T. parva infection (those inoculated with parasite stabilate alone) and nonlethal infection (those inoculated with parasite stabilate and cotreated with long-acting oxytetracycline), our data demonstrate significant alterations in monocyte phenotype and function during acute infection. Furthermore, the results are consistent with dysregulated monocyte activation that is significantly more pronounced in lethally infected cattle than in nonlethally infected cattle. Altogether, the present findings support our hypothesis and demonstrate that T. parva infection induces changes in the molecular and functional phenotypes of monocytes, leading to altered cell activation.

Monocytes are a major component of the mononuclear phagocyte system and provide early signals to initiate the innate immune response and support the development of an adaptive immune response to a given pathogen (10). As progenitor cells for DC and macrophages, monocytes also play a critical role in inflammation and tissue homeostasis (10). In several species, including humans, nonhuman primates, and cattle (18, 20), monocytes have been classified into three subsets based on the expression of the surface markers CD14 and CD16. In cattle, the monocyte subsets have been defined as classical (CD14++ CD16), intermediate (CD14++ CD16+), and nonclassical (CD14+ CD16+) (1416). Using PBMC that underwent minimal in vitro manipulation, we were able to establish the frequency of each monocyte subset in adult uninfected cattle, which is in agreement with previous studies using bovine PBMC (13, 20).

Previous studies in humans have demonstrated phenotypical and functional alterations in monocyte populations in response to different infectious diseases (2123). Here, we examined the effect of T. parva infection on the frequency of monocyte subsets in cattle. Strikingly, the progression of lethal T. parva infection correlated with an increase in the frequency of intermediate monocytes and a decrease in the frequency of classical and nonclassical monocytes. Expansion of intermediate monocytes has been described during bacterial, viral, and parasitic infections of humans and has been proposed as a prognostic biomarker for disease progression (20, 2327). Here, we showed not only that nonclassical monocytes decrease during lethal T. parva infection, but that this subset is essentially undetectable in peripheral blood at 12 dpi. This observation is in agreement with previous findings in systemic inflammatory responses to bacterial infections in humans (15, 26). Previous studies have shown that an increase in CD16+ cells correlates with increased disease severity (25, 28, 29). Our data support this premise, considering the marked increase in intermediate monocytes during lethal T. parva infection compared to nonlethal infection and uninfected animals. Based on our results, we propose to use the expansion of intermediate CD14++ CD16+ monocytes and the concomitant decrease in nonclassical CD14+ CD16+ monocytes as a biomarker for ECF progression.

A consistent sign of ECF is leukopenia characterized by severe lymphopenia and neutropenia in the peripheral blood of T. parva-infected cattle (7). Our results corroborate this finding, and both lethally and nonlethally infected cattle developed leukopenia between 7 and 9 dpi. Notably, the absolute monocyte count was not significantly altered during lethal or nonlethal infection, despite changes in monocyte subset proportions. By 12 dpi, monocyte subset proportions in nonlethally infected cattle returned to preinfection physiological levels. This reinforces the usefulness of alterations in monocyte subset proportions as a biomarker for lethal T. parva infection and ECF progression. Such objective, consistent biomarkers of disease are crucial for the assessment of protection during postvaccination challenge studies in cattle as we strive to develop improved control measures for ECF.

Downregulation of MHC molecules on the surface of monocytes has been demonstrated during systemic inflammation and is considered the gold standard for the prognosis of sepsis-induced immunosuppression in humans (30, 31). Here, we showed downregulation of MHC-II molecules on monocytes, particularly in the nonclassical subset, during lethal T. parva infection. Interestingly, lethal infection also induced downregulation of CD163 on the surface of nonclassical monocytes. In addition, changes in the surface expression of CD163 correlated with increased soluble CD163 in serum samples from lethally infected animals. Considering that no significant alterations were observed in the expression of either surface-expressed or soluble CD163 during nonlethal infection, the results suggest that alterations in this molecule correlate with disease severity. Since CD163 can act as either a pro- or anti-inflammatory molecule (3235), the role of CD163+ monocytes in T. parva infection and ECF pathogenesis remains to be determined.

Cytokine expression during T. parva infection has been previously investigated in cattle and African buffaloes (36, 37). The published study in cattle reported increased IL-1β and IL-6 mRNA in peripheral blood leukocytes during acute infection (36). Here, we evaluated cells positive for CD172a, a member of the signal regulatory protein family, which has been shown to be expressed on the surface of bovine monocytes (38, 39). We first verified that the CD172a+ cell subset includes classical, intermediate, and nonclassical monocytes and then demonstrated the upregulation of IL-1β mRNA during T. parva infection. In addition, we expanded previously published observations by also showing upregulation of TNF-α mRNA and increased NO production in monocytes from lethally infected cattle compared to results from nonlethally infected animals. Dysregulation in the production of proinflammatory mediators has previously been implicated in the pathogenesis of ECF (7), and the present results corroborate these findings by demonstrating functional alterations in monocytes during lethal T. parva infection. These data also indicate that alterations in monocyte activation are independent of the peripheral blood parasite load, suggesting that dysregulation of this innate immune cell population, rather than parasite dose alone, may play a role in ECF pathogenesis.

It has been demonstrated that myeloid cells, such as monocytes, can be polarized in vitro into a proinflammatory or regulatory phenotype (40, 41). We explored this characteristic and evaluated the ability of CD172a+ monocytes from lethally and nonlethally infected cattle to produce cytokines following the exposure to T. parva schizont-infected cells or E. coli LPS. In this study, we demonstrated that CD172a+ monocytes from lethally infected animals produced soluble IL-1β and expressed significantly increased levels of IL-10 mRNA following exposure to T. parva schizont-infected cells, suggesting the development of a mixed pro- and anti-inflammatory phenotype during lethal T. parva infection and further supporting previous studies using bovine PBMC (36, 37).

Cattle that recover from natural T. parva infection develop lifelong immunity against homologous and/or related parasite strains. This fact is exploited by the ITM method of immunization, which is used to control ECF in some areas of endemicity (42). In this vaccination method, animals are inoculated with a lethal dose of ground tick stabilate containing live sporozoites and are simultaneously treated with long-acting oxytetracycline to prevent the development of ECF (43). Although the molecular mechanisms underlying the control of T. parva by oxytetracycline remain to be determined, in vitro studies have shown that oxytetracycline retards the development of T. parva sporozoites into schizonts (44). In addition, it has been demonstrated that oxytetracycline can downregulate immune mediators of inflammation and inhibit T lymphocyte proliferation (45). Our results demonstrate that monocytes from nonlethally infected cattle treated with oxytetracycline expressed significantly less IL-1β and TNF-α mRNA and produce less NO than monocytes from lethally infected animals who are not treated with oxytetracycline. Interestingly, we found that oxytetracycline alone has no effect on monocyte subset proportions in cattle. These data, combined with the absence of significant differences in peripheral blood parasite load between lethally and nonlethally infected animals, provide further support for the idea that host innate immune mediators play an important role in ECF pathogenesis. An added effect of delayed parasite maturation cannot be ruled out, and further studies on the mechanism of oxytetracycline in preventing severe ECF, especially its effects on monocyte function, are warranted.

In conclusion, the present data demonstrate that T. parva infection induces alterations in monocytes that may play a role in ECF pathogenesis. Based on the results, we propose a model for the immunological events that occur in peripheral blood during T. parva infection. Lethal infection results in changes in monocyte subset proportions and cell phenotype, leading to alterations in cell activation, systemic immune dysregulation, and pathology, as previously shown (7). In contrast, monocytes from nonlethally infected animals showed significantly less severe phenotypic and functional alterations. We propose the use of the phenotypic and functional alterations in monocytes that occur during lethal infection as biomarkers for ECF progression.

MATERIALS AND METHODS

Cattle and Theileria parva infection.

Fifteen Holstein-Friesian steer calves (Bos taurus) were used in this study. Animals were obtained at 3 to 12 months of age, vaccinated against pathogenic Clostridium species, and confirmed T. parva negative using the T. parva PIM ELISA, as previously described (46). The animals were initially used to establish the baseline results of monocyte phenotyping and functional assays in uninfected cattle. Subsequently, six animals were infected with 1 ml of T. parva sporozoite stabilate (Pullman 2015/4, Muguga strain), as previously described for lethal infection (47), and four cattle were infected with the same parasite stabilate and concomitantly treated intramuscularly with 20 mg/kg of body weight of long-acting oxytetracycline (LA200; Zoetis), as previously described for nonlethal infection (48). Both lethally and nonlethally infected animals were monitored daily for fever, leukopenia, and respiratory distress. Complete blood counts were performed using a ProCyte Dx hematology analyzer (Idexx), following the manufacturer’s instructions. The infected animals were tested by real-time quantitative PCR to detect the T. parva 104 gene in peripheral blood using the following primers at 60°C of annealing temperature: 5′-CAGATGGAAGTGAAGTGT-3′ and 5′-TAAATGAACAAGTGATGC-3′. All lethally infected animals developed signs of respiratory distress at 13 to 14 dpi and were humanely euthanized via intravenous (i.v.) injection of sodium pentobarbital (Vortech Pharmaceuticals). As a control for the potential effects of long-acting oxytetracycline treatment, two additional age-matched Holstein-Friesian steers were treated with a single intramuscular injection of long-acting oxytetracycline (LA200), and their peripheral blood monocyte subset proportions were measured at 3, 6, 9, and 12 days postinjection, as described below. All cattle were maintained throughout the study according to protocols approved by the Washington State University Institutional Animal Care and Use Committee (protocol numbers 4975 and 4980).

Monocyte phenotyping.

Peripheral blood was collected via jugular venipuncture into Vacutainer tubes containing acid citrate dextrose (ACD; Becton, Dickinson), and PBMC were isolated using Histopaque (Sigma), per the standard protocol. Cells were labeled with monoclonal antibodies to surface markers (Table S1), followed by secondary antibodies (Table S2) using standard flow cytometry protocols, as previously described (39, 49). Flow cytometric analysis was performed using a Guava easyCyte flow cytometer (Millipore), and data were acquired using InCyte (guavaSoft 3.1.1). One-, two-, and three-color panels were used for monocyte phenotyping. For multicolor panels, fluorescence-minus-one and single-stained controls were used to calculate compensation values. A minimum of 20,000 events were collected for each cell sample. After acquisition, the results were analyzed in FCS Express version 6 (DeNovo software). The gating strategy used to define monocyte subsets is described in the Results and presented in Fig. 1A to C. The expression of monocyte subset surface markers is presented using dot plots, where a log10 scale was used on both the x and y axes.

Soluble CD163 ELISA.

Levels of soluble CD163 in serum from T. parva-infected and uninfected cattle were evaluated using a commercial ELISA kit, per the manufacturer’s protocol (MyBioSource). ELISA plates were read at 450 nm, and the optical density results were used to calculate the concentration of CD163 using a standard curve (MyBioSource). The results are presented as nanograms per milliliter of soluble CD163 in serum.

Intracellular IFN-γ staining.

T. parva schizont-infected cells were evaluated for their ability to produce IFN-γ using intracellular staining (ICS). Briefly, T. parva-infected cells were centrifuged in a Histopaque gradient for 30 min at 900 × g, suspended in complete RPMI (cRPMI) medium, and incubated at 37°C under 5% CO2 for 16 h. After that, the cells were treated with Golgi Plug (Becton, Dickinson) for 4 h following the manufacturer’s protocol and subsequently treated with Cytofix/Cytoperm Plus (Becton, Dickinson), following the manufacturer’s protocol. Cells were stained with the anti-bovine IFN-γ monoclonal antibody clone CC302 (Bio-Rad), following the manufacturer’s protocol, and analyzed by flow cytometry, as described above.

CD172a-positive selection.

CD172a+ monocytes were positively selected from PBMC, as previously described (39), using MACS microbeads (Miltenyi Biotec), following the manufacturer’s instructions. Briefly, PBMC were counted, suspended in MACS buffer (phosphate-buffered saline [PBS] without Ca2+ and Mg2+ [pH 7.0], supplemented with 0.5% bovine serum albumin [BSA] and 2 mM EDTA), and incubated with an anti-bovine CD172a monoclonal antibody (Table S1) at a concentration of 2 μg/106 cells for 15 min at 4°C. After incubation, cells were washed twice in MACS buffer and incubated with 20 μl of goat anti-mouse IgG microbeads (Miltenyi Biotec) for 15 min at 4°C. After incubation with microbeads, cells were loaded into MACS LS columns (Miltenyi Biotec) to select the CD172a+ cell population. After selection, CD172a+ cells were suspended in complete RPMI (cRPMI; 10% fetal bovine serum, 24 mM HEPES, 2 mM l-glutamine, and 10 μg/ml gentamicin) and counted, and their purity was evaluated using flow cytometry.

NO production.

The production of NO was determined by measuring the accumulation of nitrite, the stable oxidized form of nitric oxide, in cell culture medium using the Griess reaction. Briefly, CD172a+ monocytes (106 cells/ml) from lethally and nonlethally T. parva-infected cattle were stimulated for 96 h with recombinant bovine IFN-γ (50 U/ml; Ciba-Geigy) plus recombinant human TNF-α (2,500 U/ml; R&D Systems), as previously described (39). Fifty microliters of cell culture supernatant was then transferred to a 96-well plate and a Griess reaction performed, following the manufacturer’s protocol (Promega). The experiment was repeated three times, and samples were tested in duplicate each time. The results are shown as the mean micromolar concentration of nitrite in cell culture supernatant.

In vitro stimulation of CD172a+ monocytes.

CD172a+ cells were selected as described above, plated in cRPMI, and stimulated with either T. parva schizont-infected cells or E. coli LPS (1 μg/ml). Cocultures of CD172a+ monocytes (106 cells/ml) and T. parva schizont-infected cells (106 cells/ml) were performed in a transwell format using two-chamber 24-well plates with 0.4-μm pores (Costar). The use of transwell culture plates prevented cell-to-cell contact between monocytes and T. parva schizont-infected cells, and it allowed an evaluation of the effects of potential soluble factors from the parasite-infected cells on monocytes. The proinflammatory cytokine IL-1β was measured in the supernatant of monocytes stimulated in vitro with either T. parva schizont-infected cells or E. coli LPS for 16 h using a bovine ELISA, following the manufacturer’s protocol (Thermo Scientific). Levels of soluble IL-1β are presented as picograms per milliliter. At 16 h poststimulation, reverse transcriptase quantitative PCR (RT-qPCR) was performed to measure IL-10 mRNA levels in CD172a+ monocytes (see below). Additionally, T. parva schizont-infected cells were assessed for the level of parasite infection by intracellular staining for PIM, as previously described (50). The levels of intracellular IFN-γ (49) and mRNA for TNF-α and IL-10 were also evaluated in T. parva schizont-infected cells.

Cytokine expression.

Cytokine mRNA expression was evaluated by RT-qPCR using CD172a+ cells. A total of 106 cells were collected in 200 μl of RNAlater (Thermo Fisher Scientific) and stored at –20°C until use. Total RNA was extracted using the Aurum Total RNA minikit (Bio-Rad), according to the manufacturer’s protocol. Two hundred nanograms of total RNA was utilized for cDNA synthesis using the iScript cDNA synthesis kit (Invitrogen), following the manufacturer’s protocol. Quantitative PCR for IL-1β, IL-10, and TNF-α was performed in a CFX96 real-time PCR detection system using the SsoFast EvaGreen supermix (Bio-Rad) and the primers described in Table S3. The cycling conditions consisted of an enzyme activation step of 95°C for 30 s, followed by 40 cycles of 95°C denaturation for 5 s and annealing/extension of 60°C for 5 s. Reactions were performed in duplicate in 20 μl using 200 nM each primer and 2 μl of a 1/20 dilution of cDNA as the template. For normalization of the cytokine RT-qPCR, bovine actin, tubulin, ATPase, 18S, HPRT1, and SDHA genes were evaluated as reference gene candidates (Table S3). GeNorm analysis (51) showed that SDHA and ATPase were the most stable genes in the ex vivo samples from uninfected and infected animals. Therefore, these genes were used as reference genes for the normalization of RT-qPCR (Fig. S2). RT-qPCR data were analyzed using the CFX Manager software (Bio-Rad), and gene expression was calculated using the 2−ΔΔCT method (52).

Statistical analysis.

The percentages of monocytes positive for surface expression of CD14, CD16, MHC-II, and CD163 in uninfected, lethally T. parva infected, and nonlethally T. parva infected cattle were compared using ANOVA and Tukey’s post hoc test using Prism version 6 (GraphPad Software). Mean monocyte subset proportions, levels of cytokine mRNA, soluble IL-1β levels, NO production, and peripheral blood parasite loads were compared with a two-tailed t test using Prism version 6.

Supplementary Material

Supplemental file 1
IAI.00703-19-s0001.pdf (200.4KB, pdf)

ACKNOWLEDGMENTS

We thank David Herndon, Shelby Beckner, Lori Fuller, Taylor Rounds, Emma Karel, Cody Evans, Megan Blauert, James Allison, and Ralph Horn for their excellent technical support and animal care.

This work was supported by USAID (grant AID-BFS-P-13-00002) and the Bill and Melinda Gates Foundation (grant OPP1078791).

The content of this paper is the sole responsibility of the USDA-ARS-ADRU and Washington State University and does not necessarily reflect the views of USAID or the U.S. Government.

Footnotes

Supplemental material for this article may be found at https://doi.org/10.1128/IAI.00703-19.

REFERENCES

  • 1.Nene V, Kiara H, Lacasta A, Pelle R, Svitek N, Steinaa L. 2016. The biology of Theileria parva and control of East Coast fever–current status and future trends. Ticks Tick Borne Dis 7:549–564. doi: 10.1016/j.ttbdis.2016.02.001. [DOI] [PubMed] [Google Scholar]
  • 2.George JE, Pound JM, Davey RB. 2004. Chemical control of ticks on cattle and the resistance of these parasites to acaricides. Parasitology 129(Suppl):S353–S366. doi: 10.1017/s0031182003004682. [DOI] [PubMed] [Google Scholar]
  • 3.McKeever DJ. 2007. Live immunisation against Theileria parva: containing or spreading the disease? Trends Parasitol 23:565–568. doi: 10.1016/j.pt.2007.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Oura CA, Bishop R, Wampande EM, Lubega GW, Tait A. 2004. The persistence of component Theileria parva stocks in cattle immunized with the “Muguga cocktail” live vaccine against East Coast fever in Uganda. Parasitology 129:27–42. doi: 10.1017/s003118200400513x. [DOI] [PubMed] [Google Scholar]
  • 5.Oura CA, Bishop R, Asiimwe BB, Spooner P, Lubega GW, Tait A. 2007. Theileria parva live vaccination: parasite transmission, persistence and heterologous challenge in the field. Parasitology 134:1205–1213. doi: 10.1017/S0031182007002557. [DOI] [PubMed] [Google Scholar]
  • 6.De Kock G. 1957. Studies on the lesions and pathogenesis of East Coast fever (Theileria parva infection) in cattle, with special reference to the lymphoid tissue. Onderstepoort J Vet Res 27:431–452. [Google Scholar]
  • 7.Fry LM, Schneider DA, Frevert CW, Nelson DD, Morrison WI, Knowles DP. 2016. East Coast fever caused by Theileria parva is characterized by macrophage activation associated with vasculitis and respiratory failure. PLoS One 11:e0156004. doi: 10.1371/journal.pone.0156004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.McKeever DJ. 2006. Theileria parva and the bovine CTL response: down but not out? Parasite Immunol 28:339–345. doi: 10.1111/j.1365-3024.2006.00824.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Graham OH, Hourrigan JL. 1977. Eradication programs for the arthropod parasites of livestock. J Med Entomol 13:629–658. doi: 10.1093/jmedent/13.6.629. [DOI] [PubMed] [Google Scholar]
  • 10.Murray PJ. 2017. Immune regulation by monocytes. Semin Immunol doi: 10.1016/j.smim.2017.12.005. [DOI] [PubMed] [Google Scholar]
  • 11.Lauvau G, Chorro L, Spaulding E, Soudja S. 2014. Inflammatory monocyte effector mechanisms. Cell Immunol 291:32–40. doi: 10.1016/j.cellimm.2014.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ginhoux F, Jung S. 2014. Monocytes and macrophages: developmental pathways and tissue homeostasis. Nat Rev Immunol 14:392–404. doi: 10.1038/nri3671. [DOI] [PubMed] [Google Scholar]
  • 13.Hussen J, Düvel A, Sandra O, Smith D, Sheldon IM, Zieger P, Schuberth HJ. 2013. Phenotypic and functional heterogeneity of bovine blood monocytes. PLoS One 8:e71502. doi: 10.1371/journal.pone.0071502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Passlick B, Flieger D, Ziegler-Heitbrock HW. 1989. Identification and characterization of a novel monocyte subpopulation in human peripheral blood. Blood 74:2527–2534. [PubMed] [Google Scholar]
  • 15.Wong KL, Yeap WH, Tai JJY, Ong SM, Dang TM, Wong SC. 2012. The three human monocyte subsets: implications for health and disease. Immunol Res 53:41–57. doi: 10.1007/s12026-012-8297-3. [DOI] [PubMed] [Google Scholar]
  • 16.Ziegler-Heitbrock L, Hofer T. 2013. Toward a refined definition of monocyte subsets. Front Immunol 4:23–25. doi: 10.3389/fimmu.2013.00023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ziegler-Heitbrock L. 2015. Blood monocytes and their subsets: established features and open questions. Front Immunol 6:423–425. doi: 10.3389/fimmu.2015.00423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ziegler-Heitbrock L. 2014. Monocyte subsets in man and other species. Cell Immunol 291:11–15. doi: 10.1016/j.cellimm.2014.06.008. [DOI] [PubMed] [Google Scholar]
  • 19.Goddeeris BM, Morrison WI. 1988. Techniques for the generation, cloning, and characterization of bovine cytotoxic T cells specific for the protozoan Theileria parva. J Tissue Cult Methods 11:101–110. doi: 10.1007/BF01404140. [DOI] [Google Scholar]
  • 20.Hussen J, Schuberth H-J. 2017. Heterogeneity of bovine peripheral blood monocytes. Front Immunol 8:1875. doi: 10.3389/fimmu.2017.01875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Semnani RT, Mahapatra L, Moore V, Sanprasert V, Nutman TB. 2011. Functional and phenotypic characteristics of alternative activation induced in human monocytes by interleukin-4 or the parasitic nematode Brugia malayi. Infect Immun 79:3957–3965. doi: 10.1128/IAI.05191-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Chen P, Su B, Zhang T, Zhu X, Xia W, Fu Y, Zhao G, Xia H, Dai L, Sun L, Liu L, Wu H. 2017. Perturbations of monocyte subsets and their association with T helper cell differentiation in acute and chronic HIV-1-infected patients. Front Immunol 8:272. doi: 10.3389/fimmu.2017.00272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Dobbs KR, Embury P, Vulule J, Odada PS, Rosa BA, Mitreva M, Kazura JW, Dent AE. 2017. Monocyte dysregulation and systemic inflammation during pediatric falciparum malaria. JCI Insight 2:95352. doi: 10.1172/jci.insight.95352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Fingerle G, Pforte A, Passlick B, Blumenstein M, Strobel M, Ziegler-Heitbrock HW. 1993. The novel subset of CD14+/CD16+ blood monocytes is expanded in sepsis patients. Blood 82:3170–3176. [PubMed] [Google Scholar]
  • 25.Castaño D, Garcia LF, Rojas M. 2011. Increased frequency and cell death of CD16+ monocytes with Mycobacterium tuberculosis infection. Tuberculosis (Edinb) 91:348–360. doi: 10.1016/j.tube.2011.04.002. [DOI] [PubMed] [Google Scholar]
  • 26.Thieblemont N, Weiss L, Sadeghi HM, Estcourt C, Haeffner-Cavaillon N. 1995. CD14lowCD16high: a cytokine-producing monocyte subset which expands during human immunodeficiency virus infection. Eur J Immunol 25:3418–3424. doi: 10.1002/eji.1830251232. [DOI] [PubMed] [Google Scholar]
  • 27.Nockher WA, Scherberich JE. 1998. Expanded CD14+ CD16+ monocyte subpopulation in patients with acute and chronic infections undergoing hemodialysis. Infect Immun 66:2782–2790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ziegler-Heitbrock L. 2007. The CD14+ CD16+ blood monocytes: their role in infection and inflammation. J Leukoc Biol 81:584–592. doi: 10.1189/jlb.0806510. [DOI] [PubMed] [Google Scholar]
  • 29.Balboa L, Romero MM, Basile JI, Sabio y García CA, Schierloh P, Yokobori N, Geffner L, Musella RM, Castagnino J, Abbate E, de la Barrera S, Sasiain MC, Alemán M. 2011. Paradoxical role of CD16+ CCR2+ CCR5+ monocytes in tuberculosis: efficient APC in pleural effusion but also mark disease severity in blood. J Leukoc Biol 90:69–75. doi: 10.1189/jlb.1010577. [DOI] [PubMed] [Google Scholar]
  • 30.Kim OY, Monsel A, Bertrand M, Coriat P, Cavaillon JM, Adib-Conquy M. 2010. Differential down-regulation of HLA-DR on monocyte subpopulations during systemic inflammation. Crit Care 14:R61. doi: 10.1186/cc8959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhuang Y, Peng H, Chen Y, Zhou S, Chen Y. 2017. Dynamic monitoring of monocyte HLA-DR expression for the diagnosis, prognosis, and prediction of sepsis. Front Biosci (Landmark Ed) 22:1344–1354. doi: 10.2741/4547. [DOI] [PubMed] [Google Scholar]
  • 32.Van Gorp H, Delputte PL, Nauwynck HJ. 2010. Scavenger receptor CD163, a Jack-of-all-trades and potential target for cell-directed therapy. Mol Immunol 47:1650–1660. doi: 10.1016/j.molimm.2010.02.008. [DOI] [PubMed] [Google Scholar]
  • 33.Buechler C, Ritter M, Orso E, Langmann T, Klucken J, Schmitz G. 2000. Regulation of scavenger receptor CD163 expression in human monocytes and macrophages by pro- and antiinflammatory stimuli. J Leukoc Biol 67:97–103. doi: 10.1002/jlb.67.1.97. [DOI] [PubMed] [Google Scholar]
  • 34.Nielsen MJ, Moller HJ, Moestrup SK. 2010. Hemoglobin and heme scavenger receptors. Antioxid Redox Signal 12:261–273. doi: 10.1089/ars.2009.2792. [DOI] [PubMed] [Google Scholar]
  • 35.Moura DF, de Mattos KA, Amadeu TP, Andrade PR, Sales JS, Schmitz V, Nery JA, Pinheiro RO, Sarno EN. 2012. CD163 favors Mycobacterium leprae survival and persistence by promoting anti-inflammatory pathways in lepromatous macrophages. Eur J Immunol 42:2925–2936. doi: 10.1002/eji.201142198. [DOI] [PubMed] [Google Scholar]
  • 36.Yamada S, Konnai S, Imamura S, Simuunza M, Chembensofu M, Chota A, Nambota A, Onuma M, Ohashi K. 2009. Quantitative analysis of cytokine mRNA expression and protozoan DNA load in Theileria parva-infected cattle. J Vet Med Sci 71:49–54. doi: 10.1292/jvms.71.49. [DOI] [PubMed] [Google Scholar]
  • 37.Okagawa T, Konnai S, Mekata H, Githaka N, Suzuki S, Kariuki E, Gakuya F, Kanduma E, Shirai T, Ikebuchi R, Ikenaka Y, Ishizuka M, Murata S, Ohashi K. 2012. Transcriptional profiling of inflammatory cytokine genes in African buffaloes (Syncerus caffer) infected with Theileria parva. Vet Immunol Immunopathol 148:373–379. doi: 10.1016/j.vetimm.2012.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.van Beek EM, Cochrane F, Barclay AN, van den Berg TK. 2005. Signal regulatory proteins in the immune system. J Immunol 175:7781–7787. doi: 10.4049/jimmunol.175.12.7781. [DOI] [PubMed] [Google Scholar]
  • 39.Bastos RG, Johnson WC, Brown WC, Goff WL. 2007. Differential response of splenic monocytes and DC from cattle to microbial stimulation with Mycobacterium bovis BCG and Babesia bovis merozoites. Vet Immunol Immunopathol 115:334–345. doi: 10.1016/j.vetimm.2006.11.001. [DOI] [PubMed] [Google Scholar]
  • 40.Müller E, Christopoulos PF, Halder S, Lunde A, Beraki K, Speth M, Oynebraten I, Corthay A. 2017. Toll-like receptor ligands and interferon-gamma synergize for induction of antitumor M1 macrophages. Front Immunol 8:1383. doi: 10.3389/fimmu.2017.01383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Nagorsen D, Deola S, Smith K, Wang E, Monsurro V, Zanovello P, Marincola FM, Panelli MC. 2005. Polarized monocyte response to cytokine stimulation. Genome Biol 6:R15. doi: 10.1186/gb-2005-6-2-r15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Nene V, Morrison WI. 2016. Approaches to vaccination against Theileria parva and Theileria annulata. Parasite Immunol 38:724–734. doi: 10.1111/pim.12388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Di Giulio G, Lynen G, Morzaria S, Oura C, Bishop R. 2009. Live immunization against East Coast fever–current status. Trends Parasitol 25:85–92. doi: 10.1016/j.pt.2008.11.007. [DOI] [PubMed] [Google Scholar]
  • 44.Spooner PR. 1990. The effects of oxytetracycline on Theileria parva in vitro. Parasitology 100:11–17. doi: 10.1017/s0031182000060066. [DOI] [PubMed] [Google Scholar]
  • 45.Van den Bogert C, Kroon AM. 1982. Effects of oxytetracycline on in vivo proliferation and differentiation of erythroid and lymphoid cells in the rat. Clin Exp Immunol 50:327–335. [PMC free article] [PubMed] [Google Scholar]
  • 46.Katende J, Morzaria S, Toye P, Skilton R, Nene V, Nkonge C, Musoke A. 1998. An enzyme-linked immunosorbent assay for detection of Theileria parva antibodies in cattle using a recombinant polymorphic immunodominant molecule. Parasitol Res 84:408–416. doi: 10.1007/s004360050419. [DOI] [PubMed] [Google Scholar]
  • 47.Fry LM, Bastos RG, Stone BC, Williams LB, Knowles DP, Murphy SC. 2019. Gene gun DNA immunization of cattle induces humoral and CD4 T-cell-mediated immune responses against the Theileria parva polymorphic immunodominant molecule. Vaccine 37:1546. doi: 10.1016/j.vaccine.2019.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Radley DE, Brown CGD, Cunningham MP, Kimber CD, Musisi FL, Payne RC, Purnell RE, Stagg SM, Young AS. 1975. East Coast fever: 3. Chemoprophylactic immunization of cattle using oxytetracycline and a combination of theilerial strains. Vet Parasitol 1:51–60. doi: 10.1016/0304-4017(75)90007-2. [DOI] [Google Scholar]
  • 49.Johnson WC, Bastos RG, Davis WC, Goff WL. 2008. Bovine WC1 γδT cells incubated with IL-15 express the natural cytotoxicity receptor CD335 (NKp46) and produce IFN-γ in response to exogenous IL-12 and IL-18. Dev Comp Immunol 32:1002–1010. doi: 10.1016/j.dci.2008.01.011. [DOI] [PubMed] [Google Scholar]
  • 50.Rocchi MS, Ballingall KT, Ngugi D, MacHugh ND, McKeever DJ. 2008. A rapid and sensitive intracellular flow cytometric assay to identify Theileria parva infection within target cells. Parasitology 135:195–201. doi: 10.1017/S0031182007003678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. 2002. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:Research0034. doi: 10.1186/gb-2002-3-7-research0034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental file 1
IAI.00703-19-s0001.pdf (200.4KB, pdf)

Articles from Infection and Immunity are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES