1. Introduction
Bovine mastitis affects dairy cows worldwide, with Nocardia spp. causing mastitis in dairy cows and enormous economic losses [
1]. Furthermore, Nocardia can cause various local and systemic infections in humans and animals and is transmitted in a variety of ways, including inhalation, ingestion or traumatic implantation, with subsequent dissemination via lymphatics and blood [
2].
Nocardia cyriacigeorgica causes chronic inflammation that does not respond to therapy [
3] and is the species of Nocardia most commonly linked to bovine mastitis [
4,
5,
6]. Nocardia mastitis in cattle causes granulomatous inflammation, initially acute and eventually chronic [
3,
7].
As Nocardia spp. are resistant to many antimicrobials commonly used in veterinary medicine, mastitis caused by these bacteria result in chronic intramammary infection, mammary dysfunction, and cow culling [
8]. Longstanding antibiotic use has increased antimicrobial resistance in
N. cyriacigeorgica, creating global concerns for human and animal health [
9]. However, antimicrobial resistance data on isolates associated with mastitis are limited.
Bacterial mastitis causes oxidative stress by promoting production of reactive oxygen species (ROS). Malondialdehyde (MDA) is frequently used to assess lipid peroxidation [
10], which is counteracted by specific enzymes [
11]. Oxidative stress can damage udder tissues and decrease milk production [
12]. With cells cultured in vitro, damaged membranes release intracellular lactate dehydrogenase (LDH), an indicator of cytopathic effects [
13]. In addition, ROS generated during oxidative stress could result in cytotoxic effects through protein and amino acid oxidation, DNA damage, altered intracellular signaling, inhibition of antioxidant defense systems, and tissue damage.
Apoptosis occurs in response to various stimuli, including infection and injury [
14]. Apoptosis has characteristic ultrastructural changes, including cell shrinkage, chromatin condensation, nuclear fragmentation, and apoptotic bodies [
15]. The role of apoptosis in the context of infection or injury, particularly in bovine mastitis caused by
N. cyriacigeorgica, is an area of ongoing research [
3,
15]. Although apoptosis has a role in host defense mechanisms against microbial invasion, specific interactions between
N. cyriacigeorgica and bMECs regarding apoptosis are not well studied. Investigations on bovine mastitis caused by
N. cyriacigeorgica have primarily focused on prevalence, molecular characterization, immunogenic proteins, and virulence determinants [
3,
14,
15]. Further research on the apoptotic response of bMECs to
N. cyriacigeorgica infection may provide insights into host-pathogen interactions and pathogenesis.
Selenomethionine (SeMet) is an important micronutrient that can prevent mastitis in dairy cows through various biological pathways, including suppressing apoptosis [
16]. A deficiency of selenium increases susceptibility to various diseases and decreases productivity globally [
17]. Nevertheless, effects of SeMet on apoptosis in
N. cyriacigeorgica-infected bMECs are unknown. The objective was to evaluate whether SeMet mitigated
N. cyriacigeorgica-induced inflammatory injury, oxidative damage, and apoptosis in bMECs.
3. Discussion
Outbreaks of bovine mastitis caused by
Nocardia spp. are common worldwide, including in China [
3]. Key factors contributing to
Nocardia bovine mastitis include poor management and hygiene, such as inadequate disinfection of teats before and after milking, lack of proper sanitation, and use of contaminated drugs or containers during milking [
18]. Additionally, factors such as decreased immunity due to high milk production, calving and other diseases can increase susceptibility of cows to
Nocardia infection.
As
N. cyriacigeorgica adheres to and penetrate bMECs, causing cell damage and apoptosis [
19], it is necessary to seek effective treatments. Although
Nocardia spp. have diverse sensitivity to antibiotics, which can be used for phenotypic identification [
20], those affecting animals are usually resistant to common veterinary antimicrobials. Antimicrobial susceptibility (MIC method) of
N. cyriacigeorgica to 10 antimicrobials was determined. The
N. cyriacigeorgica were susceptible only to gentamycin and ceftiofur, but resistant to 8 other microbials.
N. puris, N. veterana, N. cyriacigeorgica, N. arthritidis and
N. africana were resistant to cloxacillin (75%), ampicillin (55%) and cefoperazone (47%), but less resistant to amikacin, cefuroxime or gentamicin [
7]. However, there are limited reports characterizing antimicrobial sensitivity/resistance of
Nocardia spp. from bovine mastitis [
21]. Moreover, based on the intracellular location of the pathogen and virulence characteristics that cause a pyogranulomatous reaction, treatment of
Nocardia mastitis is usually unsuccessful. Therefore, early identification of clinical and subclinical cases of bovine mastitis by microbiological identification and drug sensitivity tests
in vitro is crucial to improve response to treatment or promote timely culling [
22]. Although ceftriaxone and imipenem were used for treatment of moderate and severe nocardiosis in Australia, only 58.8% of isolates were sensitive to ceftriaxone and 41.0% to imipenem [
2]. A similar susceptibility pattern was reported in other Australian studies for ceftriaxone (44-60%) and imipenem (33.7-48%) based on a bone mineral density test [
8,
23].
In this study, effects of various concentrations of SeMet on cell viability, LDH assay, antioxidant status and oxidative stress in bMECs were determined. Although 40 µM SeMet treatment had protective effects on bMECs, higher concentrations (i.e., 60 or 80 µM) were toxic. It was reported that SeMet alleviated ESBL
E. coli-induced inflammation by activating the selenoprotein S-mediated TLR4/NF-κB signaling pathway in bMECs [
24], consistent with the present results. Also, SeMet enhanced expression of glutathione peroxidase 1 and 3
in vivo and
in vitro and improved growth and viability of bMECs [
25], whereas selenium concentrations from 50 to 100 nmol/L improved antioxidant function but did not affect milk protein synthesis in healthy bMECs. In addition, selenium mitigated lipopolysaccharide-induced damage by increasing antioxidant markers and stimulating milk protein synthesis and expression of milk protein-related genes in bMECs [
26].
Oxidative stress impacts physiological functions of cells, including the immune response and the reproductive system [
27,
28]. Selenomethionine is regarded as an important element of the antioxidant system, as selenium enhances bMECs antioxidant function and protects cells from diethylenetriamine/NO-induced oxidative damage, mainly by increasing TrxR activity and reducing NO concentration via modulation of Nrf2 and MAPK signalling pathways [
29]. Dietary intake of selenomethionine is directly correlated with the activity of various antioxidant enzymes (GSH-px, SOD, MDA and ROS). In this study, SOD and GSH-px activities were downregulated by
N. cyriacigeorgica infection. However, pretreatment with 40 µm SeMet upregulated SOD and GSH-px activities. Furthermore, in bMECs, MDA is considered a major product of lipid peroxidation and a marker of oxidative stress and antioxidant status [
28]. In this study, whereas MDA and ROS contents were upregulated by
N. cyriacigeorgica infection, SeMet pretreatment downregulated MDA and ROS, implying SeMet had a protective effect. Similarly, dairy cows given selenium yeast supplements (SeMet is the predominant form of selenium) had increased serum GSH-px activity compared to cows given sodium selenite supplements [
30]. Furthermore, 0.3 mg/kg DM of hydroxy-selenomethionine enhanced GSH-px activity in dairy cow serum compared to the same dose of sodium selenite [
31]. In studies using primary rainbow trout hepatocytes to determine effects of sodium selenite and SeMet on arsenite cytotoxicity, SeMet attenuated oxidative stress by increasing SOD [
31,
32]. Furthermore, SeMet increased capacity of bMECs to withstand oxidative stress, as indicated by decreased ROS and MDA [
31], consistent with current results. Also, selenium suppressed
S. aureus-induced inflammation by inhibiting the NLRP3 inflammasome and ROS activation in bMECs [
33].
The current study was to investigate whether SeMet mitigated inflammatory damage and oxidative damage in bMECs caused by
N. cyriacigeorgica strains isolated from mastitic milk. Expression of TNF-α, IL-1β, IL-6, and IL-8 were significantly upregulated in bMECs infected by
N. cyriacigeorgica. Nevertheless, pretreatment with 40 µM SeMet significantly downregulated gene expression of TNF-α, IL-1β, IL-6, and IL-8. Therefore, SeMet reduced production of inflammatory cytokines and decreased inflammatory damage to bMECs induced by
N. cyriacigeorgica. Similarly, SeMet increased the autophagic flux and inhibited the NF-κB-mediated inflammatory response of bMECs caused by
Klebsiella pneumoniae [
34]. Furthermore, gene expression of TNF-α, IL-1β, IL-6 and IL-8 were also significantly upregulated 1 to 5 h after infection by
K. pneumoniae [
35], although SeMet reduced inflammation and protein expression of TLR4, Ikappa-B, NF-κB, and TNF-α in bMECs and macrophages infected with ESBL
E. coli [
16]. Increased selenium concentrations decreased expression of IL-1β and IL-6 [
36]. In addition, selenium reduced gene expression of inflammatory mediators TNF-α, IL-1β and IL-6 through the TLR2, NF-κB and MAPK signaling pathway in
S. aureus-infected bMECs, implying this was the basis of the anti-inflammatory effect of selenium [
37]. Pre-treatment with various concentrations of SeMet significantly downregulated protein expression in ESBL-producing
E. coli-infected bMECs [
16], consistent with current findings. IL-1β triggers neutrophil migration and its expression level is related to severity of inflammation. Moreover, IL-6 promotes cell proliferation and differentiation and induces acute gene expression in hepatocytes, increasing inflammation [
38].
In the current study, SeMet clearly had a protective effect against apoptosis induced by
N. cyriacigeorgica infection of bMECs. Although apoptosis in the
N. cyriacigeorgica infection group was significantly upregulated in a time-dependent manner, that prevented by pre-treatment with 40 µM SeMet, indicating that SeMet alleviated
N. cyriacigeorgica-induced cell apoptosis, as this bacterium induces both apoptotic and necrotic changes in bMECs after 6 h [
19]. Based on transcription levels of apoptosis-associated genes, overexpression of heme-binding protein could induce cell apoptosis [
39]. MTSP3141, a secretory protein from
N. seriolae, could target mitochondria and induce apoptosis in host cells, and function as a virulence factor [
40]. However, selenium-related treatments protected against apoptosis, whereas selenium-enriched plant supplements significantly downregulated apoptosis of ovarian cells [
41]. SeMet supplementation protected bMECs from H2O2-induced apoptosis and enhanced cell proliferation and viability under oxidative stress [
42]. Furthermore, 500 nM of Na2 SeO3 or 30 μM of L-selenium-methylselenocysteine significantly suppressed apoptosis and reduced mitochondrial membrane potential in murine liver cells, whereas 0.45 mg/kg dietary selenium also remarkably ameliorated liver damage in mice fed high-fat diets [
43]. Extracellular vesicles derived from selenium-deficient bMECs induced oxidative stress, provoking apoptosis and inflammation via endoplasmic reticulum stress and PI3K/Akt/mTOR signaling pathway, contributing to explain susceptibility to mastitis due to selenium deficiency [
44]. SeMet decreased apoptosis by increasing overall antioxidant capacity and reducing cellular ROS [
45], consistent with current results.
4. Materials and Methods
4.1. Cell Culture
A bovine mammary epithelial cell line (MAC-T) was cultured in Dulbecco’s modified Eagle medium (DMEM) containing 10% fetal bovine serum and 1% antibiotic mix (100 μg/mL streptomycin and 100 U/mL penicillin), in an incubator with 5% CO
2 at 37°C. At 70-80% confluence, cells were detached and seeded into 6- or 96-well plates for assays (
Figure 8).
4.2. Bacterial Culture and Basic Tests
N. cyriacigeorgica previously isolated in our laboratory from milk samples with bovine mastitis, was activated from frozen stocks by culturing on tryptose soya agar (DifcoTM, Becton Dickison, Sparks, MD USA) supplemented with 5% defibrinated sheep blood. It was maintained in aerobic conditions at 37°C for 72 h, then sub-cultured in Brain Heart Infusion (BHI) broth for the following experiments.
4.3. Minimum Inhibitory Concentration (MIC) Determination
Antimicrobial susceptibility of
N. cyriacigeorgica was assessed with a broth microdilution assay, recommended by the Clinical and Laboratory Standards Institute (CLSI, 2017) [
46].
Staphylococcus aureus ATCC 29213 was used for quality control [
47]. The MIC was the lowest concentration of antimicrobial that totally inhibited bacterial growth. For MIC analyses, 96-well microplates were used, with 200 µL of BHI and antimicrobial added. After incubation of
N. cyriacigeorgica in BHI broth for 48 h, MIC values were the lowest concentrations of the antimicrobial without visible bacterial growth. We tested the following antimicrobial agents: gentamycin, lincomycin, erythromycin, enrofloxacin, penicillin, amoxicillin, cephalonium, cephalexin, ceftriaxone, and ceftiofur. With MIC values based on visual observation. Concentrations needed to inhibit visible growth of 50 and 90% of isolates were defined as MIC
50 and MIC
90, respectively.
4.4. Assessment of Cell Viability by CCK-8
Cell Counting Kit-8 (CCK-8 kit; Beyotime Institute of Biotechnology, Beijing, China) is a rapid and highly sensitive method for measuring cell proliferation and cytotoxicity. MAC-T cells (~5,000 cells/well) were plated in 96-well plates with 0, 5, 10, 20, 40, 60, or 80 µmol/L SeMet for 12 h. After treatment, cells were infected with N. cyriacigeorgica (MOI=5:1) and incubated at 37°C for 6 h and a CCK-8 kit used to assess cell viability, in accordance with label protocols. After 10 μL of CCK-8 solution was added in each well, cells were incubated at 37°C for 2 h. Absorbance was recorded at 450 nm in a DNM 9602 microplate reader. Cell viability was evaluated as a percentage (%) relative to the control.
4.5. Assessment of Lactate Dehydrogenase (LDH) Release
Cytotoxic effects of N. cyriacigeorgica on bMECs were evaluated using an LDH assay kit (Beyotime Institute of Biotechnology). The bMECs cells were cultured at 37°C with 5% CO2 in 96-well plates and incubated with 0, 5, 10, 20, 40, 60, or 80 µmol/L SeMet for 12 h. Afterwards, treated cells were infected with N. cyriacigeorgica at a MOI of 5:1 for 4 or 6 h. After incubation, the cell culture plate was centrifuged at 400 × g for 5 min, and then 120 µL of supernatant was transferred to a new 96-well plate, with 60 µL of reaction mixture added to each well, followed by incubation at room temperature in the dark for 30 min on a horizontal shaker (150 rpm). Optical density (OD) was measured by a spectrophotometer at 490 nm.
4.6. Transmission Electron Microscopy (TEM) of BMECs
For TEM, bMECs were seeded on 6-well plates and infected with N. cyriacigeorgica (MOI=5:1) for 6 h. After infection, cells were collected with a cell scraper and centrifuged at 1000 × g for 5 min. They were washed twice with PBS, fixed in 2.5% glutaraldehyde for 2 h and 1% osmium tetroxide for 2 h at 4°C, dehydrated in a graded ethanol series, embedded in epoxy resin acetone mixtures (2:1) for 2 h, then immersed in pure resin for 12 h at 37°C. After polymerization, ultrathin sections (50 ~ 70 nm) were cut, stained with 1% uranyl acetate and lead citrate, and examined with transmission electron microscopy (JEM-1400, Tokyo, Japan) at 200 KeV.
4.7. Determination of Pro-Inflammatory Cytokines
BMECs were infected with N. cyriacigeorgica (MOI=5:1) for 4 h and remained in culture medium with antibiotics and lysozyme. The supernatant was collected by centrifugation at 12000 × g for 10 min at 4°C. An ELISA kit (Jiangsu Meimian Industrial Co., Ltd., Jiangsu, China) with a detection range of 0.1 to 20.0 ng/mL was used (according to manufacturer’s instructions) to assess concentrations of pro-inflammatory cytokines TNF-α, IL-1β, IL-6, and IL-8 in cell supernatant. Absorbance at 450 nm was measured on a DNM 9602 microplate reader. All measurements were done 3 times, and the mean of 3 independent readings used for statistical analyses.
4.8. RNA Extraction and Reverse Transcriptase Quantitative Polymerase Chain Reaction (RT-qPCR)
Briefly, bMECs were washed once with PBS and harvested with 1 mL of TransZol Up lysis solution to extract total RNA, according to label instructions (TransGen Biotech Co. Ltd., Beijing, China). The cDNA was synthesized by TransScript® II All-in-One First-Strand cDNA Synthesis SuperMix for qPCR (One-Step gDNA Removal; TransGen Biotech). Concentrations of total RNA and cDNA were determined by absorbance at 260 and 280 nm on a NanoDrop-2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). A 20-µL RT-qPCR mixture was used, comprised of 10 µL of 2 × RealStar Fast SYBR qPCR mix (GenStar, Beijing, China), 10 µM (0.5 µL) of each primer, 1 µL cDNA, and 8 µL of nuclease-free water. Expression levels of mRNA were tested by real-time PCR as follows: pre-denaturation at 94°C for 2 min; 40 cycles of denaturation at 95°C for 5 s; and annealing at 60°C for 30 s using an Applied Biosystems StepOnePlus Real Time PCR system (Thermo Fisher Scientific). Primers for a housekeeping gene (GAPDH) and genes encoding TNF-α, IL-1β, IL-6, and IL-8 were used (
Table 2). Cycle threshold (Ct) values and 2−ΔΔCt values were calculated to determine expression.
4.9. Determination of MDA Concentration, SOD and GSH-px Activities
The bMECs were cultured in 6-well plates and incubated with N. cyriacigeorgica (MOI 0 and 5) for 6 h. After infection, bMECs were washed 3 times with ice-cold PBS, lysed in SOD sample preparation solution, then centrifuged at 12,000×g at 4 °C for 3-5 min and supernatant collected for a subsequent assay. Then, MDA concentrations and activities of GSH-px and SOD were detected using Cell MDA, GSH-px and SOD assay kits (Cat. no. S0131, S0056 and S0101, respectively; Beyotime Biotechnology), according to manufacturer's instructions. Readings were recorded with a DNM 9602 microplate reader at 450 and 340 nm. Each group was assayed 30 times (10 replicates per group and each sample assayed in triplicate).
4.10. Measurement of Reactive Oxygen Species (ROS) Concentrations
Intracellular ROS were measured by the reactive oxygen species assay kit (Beyotime Institute of Biotechnology, Shanghai, China) with an oxidation-sensitive fluorescent probe (DCFH-DA). Cells were seeded into 6-well plates with glass coverslips, treated, then cells were washed once using PBS and stained in darkness with 100 μM of diluted DCFH-DA for 20 min at 37°C and then washed 3 times with DMEM. The DCFH-DA was diluted 1000 times with serum-free DMEM/F12 culture medium, according to manufacturer’s instructions. Finally, cells were stained with DAPI for 10 min. After washing 3 times in ice-cold PBS, samples were viewed with a laser confocal microscope (NIKON A1 HD25, Japan).
4.11. Determination of Apoptosis
Apoptosis induced by N. cyriacigeorgica in bMECs was determined with an Annexin V-FITC/propidium iodide (PI) analysis kit (Yeasen Biotechnology (Shanghai) Co., Ltd.) according to manufacturer’s instructions. Cells were plated into 6-well plates and infected with N. cyriacigeorgica at MOI of 0 or 5 for 3, 6, 9, or 12 h. After infection, cell culture medium was discarded and cells were harvested with 0.25% trypsin without EDTA and collected by pipetting into 1.5 ml PCR tubes. Cells were centrifuged at 1000 × g 4°C for 5 min, washed twice with ice-cold PBS, re-suspended in 100 μL of 1 × binding buffer, and stained with 5 μL of Annexin V (FITC) and 10 μL of PI. After 15 min in the dark at room temperature, cells were assessed (FAC Scan Flow Cytometer; Becton, Dickinson and Co., East Rutherford, NJ, USA), as follows: Q1 = represents necrotic cells; Q2 = late apoptotic cells; Q3 = early apoptotic cells; and Q4 = late live cells or normal cells.
4.12. Statistical Analyses
Results were expressed as the mean ± standard deviation (SD) from at least 3 independent experiments. GraphPad Prism 8.0 (GraphPad Software, Inc., San Diego, CA, USA) was used and significance was assessed using SPSS 26.0 (IBM Corp., Armonk, NY, USA). Statistical differences were assessed with one-way analysis of variance (ANOVA), followed by the Tukey’s multiple comparison post hoc test. Significance was accepted at *P < 0.05; **P < 0.01.
Author Contributions
Conceptualization, B.H.; methodology, A.T. and V.A.; software, A.T. and V.A.; validation, A.T., J.H., M.A.K., H. B. and G.L.; formal analysis, A.T., J.H., V.A. and M.A.K.; investigation, A.T.; resources, G.L.; data curation, A.T., J.H. and M.A.K.; writing—original draft preparation, A.T., J.H., V.A., M.A.K., G.L. and X.Z.; writing—review and editing, J.K. X.Z. and H.B.; visualization, A.T.; supervision, X.Z., B.H.; project administration, B.H.; funding acquisition, B.H. All authors have read and agreed to the submitted version of the manuscript.
Figure 1.
Effects of SeMet with or without N. cyriacigeorgica on viability of bMECs and cytotoxicity of N. cyriacigeorgica. Cell viability of bMECs exposed to various concentrations of SeMet for 12 h, followed by N. cyriacigeorgica for 6 h. (A) Cell viability was determined with a CCK-8 assay in SeMet-treated bMECs. (B) Cell viability was determined with a CCk-8 assay in SeMet-treated bMECs subsequently infected with N. cyriacigeorgica. (C) LDH release detected by an LDH assay kit in SeMet-treated bMECs. (D) LDH activities determined by an LDH assay kit in SeMet-treated bMECs that were subsequently infected with N. cyriacigeorgica. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 1.
Effects of SeMet with or without N. cyriacigeorgica on viability of bMECs and cytotoxicity of N. cyriacigeorgica. Cell viability of bMECs exposed to various concentrations of SeMet for 12 h, followed by N. cyriacigeorgica for 6 h. (A) Cell viability was determined with a CCK-8 assay in SeMet-treated bMECs. (B) Cell viability was determined with a CCk-8 assay in SeMet-treated bMECs subsequently infected with N. cyriacigeorgica. (C) LDH release detected by an LDH assay kit in SeMet-treated bMECs. (D) LDH activities determined by an LDH assay kit in SeMet-treated bMECs that were subsequently infected with N. cyriacigeorgica. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 2.
Ultrastructural changes of bMECs infected with N. cyriacigeorgica and examined with transmission electron microscopy. (A) Control group bMECs had abundant mitochondria (green arrow) in cytoplasm, nucleus (blue arrow) and normal endoplasmic reticulum (black arrow); (B) In the SeMet-treated group, all bMECs components appeared unaltered; (C) N. cyriacigeorgica infection group, the red arrow indicates N. cyriacigeorgica (NC); note that the endoplasmic reticulum (black arrow) were swollen, indicating cells were under stress. The green arrow indicates mitochondria, which appeared enlarged, with disruption of mitochondrial cristae (compared to the control group), whereas the blue arrow indicates the nucleus; (D) Pre-treatment with SeMet before N. cyriacigeorgica infection. Red arrow indicates N. cyriacigeorgica (NC), the green arrow indicates enlarged mitochondria and black arrows indicate swollen endoplasmic reticulum which are under stress. Note the protective effects of SeMet on bMECs, including mitochondria (green arrow), endoplasmic reticulum (black arrow), and nucleus (blue arrow), with less changes compared to the infection group.
Figure 2.
Ultrastructural changes of bMECs infected with N. cyriacigeorgica and examined with transmission electron microscopy. (A) Control group bMECs had abundant mitochondria (green arrow) in cytoplasm, nucleus (blue arrow) and normal endoplasmic reticulum (black arrow); (B) In the SeMet-treated group, all bMECs components appeared unaltered; (C) N. cyriacigeorgica infection group, the red arrow indicates N. cyriacigeorgica (NC); note that the endoplasmic reticulum (black arrow) were swollen, indicating cells were under stress. The green arrow indicates mitochondria, which appeared enlarged, with disruption of mitochondrial cristae (compared to the control group), whereas the blue arrow indicates the nucleus; (D) Pre-treatment with SeMet before N. cyriacigeorgica infection. Red arrow indicates N. cyriacigeorgica (NC), the green arrow indicates enlarged mitochondria and black arrows indicate swollen endoplasmic reticulum which are under stress. Note the protective effects of SeMet on bMECs, including mitochondria (green arrow), endoplasmic reticulum (black arrow), and nucleus (blue arrow), with less changes compared to the infection group.

Figure 3.
Effects of SeMet on the gene expression of proinflammatory cytokines. Expression of: (A) TNF-α; (B) IL-1β; (C) IL-6; and (D) IL-8. The bMECs were pretreated with 40 μM SeMet or nothing for 6 h before stimulation with N. cyriacigeorgica (MOI = 5:1) for 4 h. The mRNA expression of TNF-α, IL-1β, IL-6 and IL-8 were downregulated compared to the control group. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 3.
Effects of SeMet on the gene expression of proinflammatory cytokines. Expression of: (A) TNF-α; (B) IL-1β; (C) IL-6; and (D) IL-8. The bMECs were pretreated with 40 μM SeMet or nothing for 6 h before stimulation with N. cyriacigeorgica (MOI = 5:1) for 4 h. The mRNA expression of TNF-α, IL-1β, IL-6 and IL-8 were downregulated compared to the control group. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 4.
SeMet alleviated N. cyriacigeorgica-induced inflammatory responses in bMECs. The bMECs were treated with 40 μM of SeMet for 6 h and then infected with N. cyriacigeorgica for 4 h. SeMet pretreatment alleviated N. cyriacigeorgica -induced release of inflammatory cytokines in bMECs. (A) TNF-α; (B) IL-1β; (C) IL-6; and (D) IL-8. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 4.
SeMet alleviated N. cyriacigeorgica-induced inflammatory responses in bMECs. The bMECs were treated with 40 μM of SeMet for 6 h and then infected with N. cyriacigeorgica for 4 h. SeMet pretreatment alleviated N. cyriacigeorgica -induced release of inflammatory cytokines in bMECs. (A) TNF-α; (B) IL-1β; (C) IL-6; and (D) IL-8. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 5.
Effects of SeMet on N. cyriacigeorgica induced oxidative stress indicators in bMECs. (A) Superoxide dismutase (SOD) activities of bMECs infected N. cyriacigeorgica for 3, 6 or 12 h were decreased gradually (P < 0.01) but increased (P < 0.05) with 40 μM SeMet pretreament; (B) glutathione peroxidase GSH-px activity for 1, 2, 3, 4 and 5 min were decreased (P < 0.01) but increased (P < 0.05) with 40 μM SeMet pretreatment; (C) malondialdehyde (MDA) content in bMECs infected with N. cyriacigeorgica for 3, 6, 9, or 12h were increased (P < 0.01) but were decreased (P < 0.05) with 40 μM SeMet pretreatment. Means ± SD of 3 independent experiments. Data are means ± SD of 3 independent experiments. *P < 0.05, **P < 0.01.
Figure 5.
Effects of SeMet on N. cyriacigeorgica induced oxidative stress indicators in bMECs. (A) Superoxide dismutase (SOD) activities of bMECs infected N. cyriacigeorgica for 3, 6 or 12 h were decreased gradually (P < 0.01) but increased (P < 0.05) with 40 μM SeMet pretreament; (B) glutathione peroxidase GSH-px activity for 1, 2, 3, 4 and 5 min were decreased (P < 0.01) but increased (P < 0.05) with 40 μM SeMet pretreatment; (C) malondialdehyde (MDA) content in bMECs infected with N. cyriacigeorgica for 3, 6, 9, or 12h were increased (P < 0.01) but were decreased (P < 0.05) with 40 μM SeMet pretreatment. Means ± SD of 3 independent experiments. Data are means ± SD of 3 independent experiments. *P < 0.05, **P < 0.01.
Figure 6.
Effects of SeMet on N. cyriacigeorgica-induced increased in ROS concentrations in bMECs. In bMECs infected N. cyriacigeorgica, ROS was increased (P < 0.01). However, in bMECs pretreated with 40 uM SeMet for 6 h before infection with N. cyriacigeorgica (MOI = 5:1), the ROS concentration was decreased (P < 0.01), In addition, ROS concentration of bMECs only pretreated with 40 uM SeMet for 6 h was same as control. Data are means ± SD of 3 independent experiments. **P < 0.01.
Figure 6.
Effects of SeMet on N. cyriacigeorgica-induced increased in ROS concentrations in bMECs. In bMECs infected N. cyriacigeorgica, ROS was increased (P < 0.01). However, in bMECs pretreated with 40 uM SeMet for 6 h before infection with N. cyriacigeorgica (MOI = 5:1), the ROS concentration was decreased (P < 0.01), In addition, ROS concentration of bMECs only pretreated with 40 uM SeMet for 6 h was same as control. Data are means ± SD of 3 independent experiments. **P < 0.01.
Figure 7.
Apoptosis of bMECs treated with 40 uM SeMet for 12 h and subsequently infected with N. cyriacigeorgica. The bMECs were treated with 40 uM SeMet 12 h and then infected with N. cyriacigeorgica at MOI of 0 and 5 for 3, 6, 9, or12 h. Percentage of apoptosis in bMECs infected with N. cyriacigeorgica was increased in a time-dependent manner. Apoptosis of the infection group was higher (P < 0.01) at various time points compared to the group given 40 uM SeMet. Therefore, SeMet mitigated apoptosis induced by N. cyriacigeorgica. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 7.
Apoptosis of bMECs treated with 40 uM SeMet for 12 h and subsequently infected with N. cyriacigeorgica. The bMECs were treated with 40 uM SeMet 12 h and then infected with N. cyriacigeorgica at MOI of 0 and 5 for 3, 6, 9, or12 h. Percentage of apoptosis in bMECs infected with N. cyriacigeorgica was increased in a time-dependent manner. Apoptosis of the infection group was higher (P < 0.01) at various time points compared to the group given 40 uM SeMet. Therefore, SeMet mitigated apoptosis induced by N. cyriacigeorgica. Data are means ± SD of 3 independent experiments. *P < 0.05; **P < 0.01.
Figure 8.
Schematic diagram of the experimental protocol.
Figure 8.
Schematic diagram of the experimental protocol.
Table 1.
Antimicrobials used for MIC assay.
Table 1.
Antimicrobials used for MIC assay.
| Antimicrobial |
Nocardiacyriacigeorgica—MIC (μg/mL)
|
Resistance rate (%) |
MIC90 (μg/mL) |
| 0.5 |
1 |
2 |
4 |
8 |
16 |
32 |
64 |
128 |
256 |
512 |
| Gentamycin |
|
|
|
5 |
2 |
|
|
1 |
2 |
|
5 |
10/15 (66.7) |
512 |
| Enrofloxacin |
|
|
|
1 |
|
1 |
|
|
|
13 |
|
15/15 (100) |
256 |
| Penicillin |
|
|
|
|
|
|
|
|
|
|
15 |
15/15 (100) |
512 |
| Amoxicillin |
|
|
|
|
|
|
2 |
|
|
13 |
|
15/15 (100) |
256 |
| cephalonium |
|
|
|
|
|
1 |
2 |
|
|
12 |
|
15/15 (100) |
256 |
| Cefalexin |
|
|
|
|
|
|
|
|
|
|
15 |
15/15 (100) |
512 |
| Ceftriaxone |
|
|
|
1 |
|
|
|
|
2 |
12 |
|
15/15 (100) |
256 |
| Ceftiofur |
|
|
1 |
|
|
|
|
|
2 |
12 |
|
14/15 (93.3) |
256 |
| Lincomycin |
|
|
|
|
|
|
|
|
|
|
15 |
15/15 (100) |
- |
| Erythromycin |
|
|
|
|
|
|
|
|
|
|
14 |
15/15 (100) |
- |
Table 2.
Primer sequences of bovine genes used for quantitative PCR.
Table 2.
Primer sequences of bovine genes used for quantitative PCR.
| Gene |
Primer sequence |
Reference |
| TNF-α |
Upstream |
5′-ACGGGCTTTACCTCATCTACTC |
Lin et al., 2020 [48] |
| |
Downstream |
3′-GCTCTTGATGGCAGACAGG |
|
| IL-1β |
Upstream |
5′-AGGTGGTGTCGGTCATCGT |
Lin et al., 2020[48] |
| |
Downstream |
3′-GCTCTCTGTCCTGGAGTTTGC |
|
| IL-6 |
Upstream |
5′-ATCAGAACACTGATCCAGATCC |
Lin et al., 2020[48] |
| |
Downstream |
3′-CAAGGTTTCTCAGGATGAGG |
|
| IL-8 |
Upstream |
5′-ACACATTCCACACCTTTCCA |
Lin et al., 2020[48] |
| |
Downstream |
3′-GGTTTAGGCAGACCTCGTTT |
|
| GAPDH |
Upstream |
5′-CATTGACCTTCACTACATGGT |
Lin et al., 2020[48] |
| |
Downstream |
3′-ACCCTTCAAGTGAGCCCCAG |
|