Abstract
Mycoplasma bovis can lead to a decline in milk quality and yield, thereby causing significant economic losses worldwide. Extracellular vesicles (EVs) are crucial for triggering immune cell responses to infection. This study aimed to demonstrate the immunomodulatory effects of EVs released by bovine mammary epithelial cells (MAC-T cells) infected with M. bovis on bovine macrophages (BoMacs). After EVs were extracted from M. bovis-infected MAC-T cells (M. bovis NX2-EVs) as well as from uninfected MAC-T cells (Ctrl-EVs), they were incubated with BoMacs to assess their potential to induce cytokine expression. The results showed that M. bovis NX2-EV-treated BoMacs exhibited significantly increased expression of TNF-α, IL-1β, and IL-6. Additionally, the differentially expressed genes mainly involved the TNF, NF-kappa B and IL-17 signalling pathways, with endocytosis and megalocytosis recognized as the main pathways through which BoMacs can take up EVs. Furthermore, mass spectrometry and RNA-seq were used to determine the protein and miRNA expression profiles of Ctrl-EVs and M. bovis NX2-EVs. Overall, 27 And 86 proteins were significantly downregulated and upregulated, respectively, in M. bovis NX2-EVs compared with those in Ctrl-EVs. Similarly, a total of 9 miRNAs were upregulated, while 2 miRNAs were downregulated in M. bovis NX2-EVs. Finally, JCHAIN, MAPRE1, miR-1307, and miR-149-5p were identified as differentially expressed proteins and miRNAs in M. bovis NX2-EVs, thus highlighting their involvement in cellular immune regulation and related diseases. These results reveal the mechanism of host resistance to M. bovis infection and provide new insights for exploring the pathogenic mechanism of M. bovis.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13567-025-01626-5.
Keywords: M. bovis, extracellular vesicles, inflammatory response, proteomics, transcriptomics
Introduction
Mycoplasma bovis is currently recognized as a highly significant and frequently encountered Mycoplasma species associated with bovine diseases [1, 2], such as pneumonia [3], mastitis [4] and arthritis [5]. Since its discovery in 1961, it has become widely prevalent in cattle-farming countries around the world [6], and as a result, M. bovis-induced mastitis is now a global issue that leads to substantial reductions in milk production as well as significant economic losses [7]. Numerous studies have shown that the pathogenesis of M. bovis infection involves immune evasion and the modulation of host immune responses that subsequently trigger an inflammatory response [8, 9]. In fact, the membrane lipoproteins of this Mycoplasma species are believed to play an essential role in inducing such proinflammatory responses [10]. Additionally, certain M. bovis metabolites can induce host inflammatory responses, leading to cellular damage and intensified inflammatory reactions [11–14]. However, no studies have explored the inflammatory response induced by extracellular vesicles (EVs) derived from M. bovis-infected cells.
EVs are lipid bilayer-enclosed nanoparticles secreted by cells and are typically categorized as apoptotic bodies, microvesicles or exosomes, depending on their size [15]. Previous research has suggested that EVs are involved in various inflammatory diseases mainly through the delivery of proteins or miRNAs [16, 17]. Furthermore, EVs derived from pathogen-infected host cells play a regulatory role in the immune response by participating in antigen presentation, thereby activating immune cells (e.g., macrophages and natural killer (NK) cells) to stimulate the release of inflammatory mediators [18, 19]. Moreover, miRNAs in EVs serve as a critical mechanism for exosome-mediated inflammatory responses. For instance, in inflammatory conditions, such as inflammatory bowel disease (IBD) [20] and acute kidney injury (AKI) [21], bone marrow mesenchymal stem cell-derived exosomes have shown therapeutic potential. Specifically, EVs that carry miR-539-5P have been shown to alleviate IBD through the inhibition of cellular pyroptosis [22], whereas exosomes containing miRNA-19b-3p and released by lipopolysaccharide (LPS)-stimulated renal tubular epithelial cells contribute to renal injury by promoting M1-type macrophage polarization [23]. The role of miRNAs in exosomes derived from Mycoplasma-infected host cells in resistance to Mycoplasma infection has been specifically investigated. More interestingly, exosomal miRNAs derived from Mycoplasma gallisepticum (MG)-infected CP-II cells play important roles in regulating the production of inflammatory cytokines in DF-1 cells [24]. Similarly, exosomal miR-181a-5p from MG-infected CP-II cells promotes the expression of proinflammatory cytokines by activating the TLR2-mediated MyD88/NF-KB signalling pathway in receptor DF-1 cells, thereby preventing MG-HS infection [25]. These results underscore the significant role of EV miRNAs in modulating inflammatory responses. However, the effects of those from M. bovis-infected cells on the regulation of other host cells remain unclear.
Bovine mammary epithelial cells (MAC-T cells), derived from bovine mammary tissues, are typically selected for mastitis-related studies [26]. The protein and miRNA profiles in EVs derived from MAC-T cells have been shown to be consistent with those derived from milk [27]. Thus, MAC-T cells provide a valuable model for research on bovine mastitis. Additionally, BoMacs, derived from bovine macrophages, which are involved in pathogen phagocytosis and clearance, antigen processing and presentation, as well as the release of various cytokines, are essential for both innate and adaptive immunity. In fact, they serve as the primary line of defence after host infection with pathogens [28]. In this study, the effects of EVs derived from M. bovis-infected MAC-T cells (designated M. bovis NX2-EVs) on the inflammatory response of BoMacs, mouse bone marrow-derived macrophages (BMDMs), and bovine monocyte-derived macrophages were examined. The findings suggest that M. bovis-infected MAC-T cells can stimulate inflammatory responses in BoMacs, BMDMs and bovine monocyte-derived macrophages through the release of EVs. Moreover, the proteins and miRNAs in EVs involved in promoting the inflammatory response were further identified. Understanding the cargo of these EVs is expected to offer new insights into their molecular mechanisms of action.
Materials and methods
Strain culture
A milk sample, which was collected from an infected beef cow in the Ningxia Hui Autonomous Region, China, was used as the source material for isolating Mycoplasma bovis strain NX2 (GenBank: CP171654.1). Following its characterization by our laboratory, the strain was cultured in pleuropneumonia-like organism (PPLO) medium (BD Company, MD, USA) containing 10% horse serum (HyClone, UT, USA) at 37 °C. To determine the titre of M. bovis NX2, tenfold serial dilutions were spotted on PPLO agar plates, and the CFU/mL values were measured after 5 days of incubation at 37 °C And 5% CO2.
Cell culture
BoMacs and MAC-T cells, generously provided by Prof. Aizhen Guo (Huazhong Agricultural University, China), were grown in RPMI 1640 (Gibco, USA) and DMEM/F-12 (Pricella, Wuhan, China) media, respectively, And incubated at 37 °C or 38.5 °C, respectively in 5% CO2. Both media were supplemented with 10% FBS (Pricella, Wuhan, China) And 1% penicillin/streptomycin before use.
Cell viability assay
An MTT assay kit was used to investigate whether M. bovis NX2 influenced the viability of MAC-T cells. After 5 × 103 MAC-T cells were seeded into each well of 96-well plates, they were incubated for 16 h. Then, cell infection was performed with M. bovis NX2 at different multiplicities of infection (5, 10, 20, 30, 50, And 100), after which cells were incubated for 24 h at 37 °C in 5% CO2. MTT solution (20 µL), prepared according to the instructions provided, was then added to each well, And after the plates were incubated for 4 h, the purple formazan in each well was dissolved in 100 μL of DMSO. Absorbance readings at 560 nm were recorded with a microplate reader (Bio-Rad Laboratories, USA).
Extraction and quantification of EVs
After 1 × 107 MAC-T cells were inoculated into 150-mm dishes, the cells were incubated for 16 h. PBS solution was then used to wash the cells three times before the addition of DMEM/F-12 (containing 10% exosome-depleted foetal bovine serum) with or without M. bovis NX2 (MOI: 10). After 24 h of culture, the cells were subjected to three rounds of centrifugation, first for 10 min at 300 × g, followed by 10 min at 2000 × g And finally 30 min at 10 000 × g. The resulting supernatant was then filtered through a 0.22/0.10-μm membrane, And after centrifugation at 120 000 × g, ultracentrifugation was performed for 70 min at 4 °C using a P70AT rotor (Hitachi, Tokyo, Japan). In addition, 10 μL of isolated EVs was incubated on PPLO plates to ensure the absence of interference from M. bovis NX2. After the resulting EVs were resuspended in 100 μL of PBS, the total protein content of each sample was determined with a BCA protein assay kit (Beyotime, Shanghai, China), and the remainder of the sample was kept for subsequent experiments.
Nanoparticle tracking analysis (NTA)
EV samples (Ctrl-EVs and M. bovis NX2-EVs) were diluted with PBS at a ratio of 1:1000, and their size and distribution were subsequently determined by dynamic light scattering (DLS) using a nanoparticle size and zeta potential analyser (Anton Paar, Hohenbrugg, Austria).
Transmission electron microscopy (TEM)
After placing 10 µL of Ctrl-EVs and M. bovis NX2-EVs on a grid, the samples were air-dried for 15 min at 37 °C to precipitate the EVs. This was followed by negative staining with 1% phosphotungstic acid for 30 s, followed by air-drying at room temperature. Then, the morphology of the EVs was observed under an HT7700 transmission electron microscope (Hitachi, Tokyo, Japan) operated at a voltage of 120 kV.
EV fluorescent labelling and cellular uptake
BoMacs (3 × 105 cells/mL) were seeded onto sterile coverslips or into 12-well plates, after which Ctrl-EVs and M. bovis NX2-EVs were labelled with the lipophilic fluorescent dye DID (1:200; Invitrogen, USA) for 30 min at 37 °C. DID-labelled EVs (50 μg/mL) were then incubated with BoMacs for 12 h before the cells were washed three times with PBS. The cells were then fixed for 10 min with 4% paraformaldehyde, and after the washing step was repeated, the nuclei were labelled with DAPI for visualization by confocal microscopy (Leica TCS SP8, Germany). In addition, BoMacs pretreated with or without endocytosis inhibitors for 6 h were incubated with DID-labelled EVs (50 μg/mL) for Another 12 h. The cells were then collected for fluorescence detection by flow cytometry (Sony MA900, Tokyo, Japan).
Western blotting
BoMacs were incubated with RIPA buffer (Beyotime) for total protein extraction, and a BCA protein assay kit (Beyotime) was subsequently used to determine the amount of protein and EVs in the cellular extracts. After the extracted proteins (20 µg) were mixed with 6 × loading buffer (Takara Bio, Tokyo, Japan), SDS‒PAGE was performed on a 10% gel, after which the separated proteins were transferred to PVDF membranes (Millipore, Darmstadt, Germany). These membranes were then blocked for 1 h at 37 °C using 5% skim milk prior to overnight incubation at 4 °C with the following primary antibodies: anti-TSG101 (1:1000, ProteinTech, Wuhan, China); anti-calnexin (1:1000, ProteinTech), anti-TNF-α (1:1000, ProteinTech), anti-TNF-α (Mus, 1:20 000, ABclonal, China), anti-NOX [29], anti-GAPDH (1:1000, ProteinTech), anti-CD63 (1:1000, System Biosciences, Beijing, China), anti-CD81 (1:1000, System Biosciences), anti-ARCN1 (1:1000, ProteinTech), anti-MAPRE1 (1:1000, Affinity, Jiangsu, China), anti-APLP2 (1:2000, ProteinTech), anti-JAG1 (1:1000; ProteinTech), and purified polyclonal rabbit anti-JCHAIN antibody (1:1000, AtaGenix, Wuhan, China). This was followed by incubation for 1 h at room temperature with HRP-conjugated Affinipure goat anti-mouse and goat anti-rabbit IgG (H + L) (1:10 000, ProteinTech) secondary antibodies. The protein bands were subsequently developed with a chemiluminescence kit (Advansta) prior to visualization with An Amersham Imager 600 (Cytiva, USA). The intensity of each protein band was assessed against that of GAPDH and analysed with ImageJ (version 1.46).
Reverse transcription‒quantitative PCR (RT‒qPCR)
TRIzol reagent (Invitrogen, CA, USA) was used to extract total RNA before reverse transcription into cDNA using the HiScript III RT SuperMix for qPCR (+ gDNA wiper) Kit (Vazyme, Nanjing, China). In this case, the reaction was performed for 15 min at 37 °C And for 5 s at 85 °C. This was followed by qRT–PCR, which was performed with the ChamQ Universal SYBR qPCR Master Mix Kit (Vazyme) under the following reaction conditions: initial denaturation for 30 s at 95 °C, followed by 40 cycles of 10 s of denaturation at 95 °C And 30 s of extension at 60 °C. The results were normalized to those of GAPDH, And the 2−∆∆Cq method was subsequently used to determine the level of relative expression. The primers selected for this experiment are listed in Table 1 and were synthesized by Sango Biotechnology (Shanghai).
Table 1.
Sequences of primers used for qRT‒PCR
| Gene | Primer sequence (5′-3′) |
|---|---|
| IL-1β F (Bovine) | GTCATCTTCGAAACGTCCTCC |
| IL-1β R (Bovine) | TCCTCTCCTTGCACAAAGCTC |
| IL-6 F (Bovine) | ACCCCAGGCAGACTACTTCT |
| IL-6 R (Bovine) | CCCAGATTGGAAGCATCCGT |
| IL-8 F (Bovine) | GAAGAGAGCTGAGAAGCAAGATCC |
| IL-8 R (Bovine) | ACCCACACAGAACATGAGGC |
| TNF-α F (Bovine) | CTCCATCAACAGCCCTCTGG |
| TNF-α R (Bovine) | GAGGGCATTGGCATACGAGT |
| GAPDH F (Bovine) | TGGTGAAGGTCGGAGTGAAC |
| GAPDH R (Bovine) | ATGGCGACGATGTCCACTTT |
| IL-1β F(Mus) | TCGCTCAGGGTCACAAGAAA |
| IL-1β R (Mus) | CATCAGAGGCAAGGAGGAAAAC |
| IL-6 F (Mus) | ACAAGTCGGAGGCTTAATTACACAT |
| IL-6 R (Mus) | TTGCCATTGCACAACTCTTTTC |
| TNF-α F (Mus) | AGGCTGCCCCGACTACGT |
| TNF-α R (Mus) | GACTTTCTCCTGGTATGAGATAGCAAA |
| GAPDH F (Mus) | TCCCACTCTTCCACCTTCGA |
| GAPDH R (Mus) | AGTTGGGATAGGGCCTCTCTT |
Immunofluorescence staining
BoMacs (2 × 105 cells/mL) were seeded onto sterile coverslips prior to incubation for 24 h with Ctrl-EVs and M. bovis NX2-EVs. PBS was then used to wash the slides three times (1 min each), And after 15 min of cell fixation at room temperature using 4% paraformaldehyde, 0.1% Triton X-100 was added for 15 min at 37 °C for cell permeabilization. Blocking was then performed for 1 h using 10% BSA prior to overnight incubation at 4 °C with the following primary antibodies: anti-TNF-α (1:200, Proteintech), anti-IL-1β (1:200, Proteintech) and anti-IL-6 (1:200, Affinity). After the cells were washed with PBS five times, they were incubated for 30 min at 37 °C with Alexa Fluor 594-conjugated goat anti-rabbit IgG (H + L) (1:1000, Thermo Fisher) And Alexa Fluor 488-conjugated goat anti-mouse IgG (H + L) (1:2000, Thermo Fisher). This was followed by nuclear counterstaining with DAPI (Thermo Fisher) or Hoechst (Beyotime) before visualization with a confocal laser scanning microscope (Leica TCS SP8).
Preparation of BMDMs
BMDMs were isolated And harvested from the tibiae of 6–8-week-old wild-type C57BL/6J mice. Cells were washed once with PBS and then cultured in low-glucose DMEM (Gibco, USA) supplemented with 10% FBS (Pricella, Wuhan, China), 1% penicillin/streptomycin (Invitrogen, USA), And 20 ng/mL mouse macrophage colony-stimulating factor (MCE, USA). The cells were subsequently incubated at 37 °C in 5% CO2 for 7 days. Then, the adherent cells were washed and harvested with trypsin (Invitrogen, USA).
Isolation of bovine peripheral blood mononuclear cells (PBMCs) and differentiation into macrophages
Blood samples (50 mL from each animal) were obtained from 3 clinically healthy animals with no history of M. bovis infection. A bovine peripheral blood monocyte isolation kit (Solarbio, China) was used to isolate PBMCs. Red blood cell lysis buffer (Beyotime) was used to lyse erythrocytes. Cells were washed twice with PBS containing 1 mM EDTA (Beyotime) and then cultured in RPMI-1640 (Gibco, USA) supplemented with 10% FBS (Pricella), 1% penicillin/streptomycin (Invitrogen, USA), 10 μg/L insulin (MCE, USA), growth-promoting compounds (1 mg/L progesterone, 0.05% lactalbumin And 0.05% a-lactose) And 20 ng/mL bovine granulocyte macrophage-colony stimulating factor (MCE, USA) [30]. The cells were subsequently incubated at 38.5 °C in 5% CO2 for 7 days [31]. Then, the adherent cells were washed and harvested with trypsin (Invitrogen, USA).
Flow cytometry
For all experiments, cell surface staining was performed in the dark in PBS at 4 °C for 1 h. The cells were then washed twice with PBS and incubated with antibodies against surface markers, including FITC-conjugated anti-CD11b (0.2 mg/mL, Proteintech) and FITC-conjugated anti-CD14 antibody (1:10, Bio-Rad, CA, USA). Cells were collected for flow cytometry and data analysis using a flow cytometer (Sony MA900, Tokyo, Japan) and FlowJo-V10 software.
RNA-seq and genome-wide transcriptome analysis
RNA-seq was performed by Novogene (Beijing, China). Ctrl-EVs and M. bovis NX2-EVs were incubated with BoMacs (1 × 106 per well) for 12 And 24 h before TRIzol reagent was used to extract total RNA for RNA sequence analysis (three biological replicates per set). Oligo dT magnetic beads were then used for RNA purification before generating libraries with the NEBNext Ultra RNA Library Prep Kit for Illumina (NEB, USA). In this case, indexing codes were also added to the sequences for each sample. For each Library, quantification was performed using a Qubit 2.0 fluorometer, And after being diluted to 1 ng/μL, its quality was assessed with An Agilent 2100 bioanalyzer. For data analysis, the raw sequences were first subjected to quality control, which involved filtering as well as checking for sequencing errors and the distribution of the GC content to yield clean reads. The DESeq2 package was subsequently used to analyse differential expression, with significance considered at p values adjusted using the Benjamini and Hochberg method. In addition, the clusterProfiler R package was used for KEGG pathway enrichment analyses.
LC‒MS/MS and proteomic analysis
Technical support for the proteomic analysis was provided by Applied Protein Technology (Shanghai, China). Ctrl-EVs and M. bovis NX2-EVs (three samples per group) were separately analysed by LC‒MS/MS (DIA mode, Astral Mass Spectrometer) prior to protein identification by line DIA. Significantly differentially expressed proteins were then screened using a p value of < 0.05 (t test) and an expression fold change (FC) of > 1.5-fold as thresholds, after which the subcellular localization of these differentially expressed proteins was analysed using CELLO, a software for predicting subcellular structures. This was followed by GO functional annotation and KEGG pathway analysis of all significantly differentially expressed proteins using Blast2Go and KOBAS (version 3.0) software, respectively.
Immunocolloid electron microscopy
A suspension of EVs was purified as described above, And after being mixed with 4% paraformaldehyde (1:1), the resulting mixture was dropped onto a nickel mesh with a carbon film And allowed to stand for 1 h. PBS was then used to wash the EVs three times before they were blocked for 30 min using 1% BSA. The grids were subsequently incubated for 2 h at 4 °C with appropriate dilutions of the primary antibodies against ARCN1 (1:1000, ProteinTech), MAPRE1 (1:1000, Affinity), JAG1 (1:1000, ProteinTech), TSG101 (1:1000, ProteinTech) and JCHAIN (1:1000, AtaGenix), and after repeating the washing step (3 min each time), the grid was floated for 2 h at room temperature on Anti-rabbit IgG, Anti-mouse IgG, and secondary antibody droplets containing 10-nm gold particles (AURION, Hatfield, PA). The washing step was repeated again with PBS (3 min each time), And after the samples were fixed for 5 min with 2% glutaraldehyde, a final wash was performed. The grids were then air-dried and stained with uranyl acetate prior to visualization using a Tecnai Bio Twin transmission electron microscope (FEI, Hillsboro, Oregon), with the images captured using an AMT CCD camera (Advanced Microscopy Techniques, Danvers, Massachusetts).
Sequencing of EV-derived miRNAs
EV-derived miRNA sequencing was performed by Applied Protein Technology (Shanghai, China). Total RNA was extracted from Ctrl-EVs and M. bovis NX2-EVs (three samples per group) with TRIzol reagent (Invitrogen) before An Agilent 2100 Bioanalyzer (Agilent, USA) was used to assess the concentration and purity of the RNA. Small RNA libraries were subsequently constructed using an Illumina small RNA sample preparation kit, and after their quality and quantity were checked with an Agilent High Sensitivity DNA Kit and a Quant-iT PicoGreen dsDNA Assay Kit, respectively, sequencing was performed. Differentially expressed miRNAs were eventually identified with the edgeR algorithm using a p value of < 0.05 and a log2 (FC) of > 1 as thresholds after the data were normalized with Agilent Gene Spring software.
EV-derived miRNA RT‒qPCR
The miRNeasy Mini Kit (QIAGEN, USA) was used to isolate miRNA from Ctrl-EVs and M. bovis NX2-EVs. This was followed by reverse transcription and qRT‒PCR, which were performed according to the instructions provided for the All-in-One miRNA qRT‒PCR Detection Kit 2.0 (GeneCopoeia, USA). The 2−∆∆Cq method was then used to determine the relative expression levels, and the results were normalized to those of U6. The primers selected for the amplification process are listed in Table 2 and were synthesized by Sango Biotechnology (Shanghai).
Table 2.
Primer sequences for miRNA qRT‒PCR
| Gene | Primer sequence (5′-3′) |
|---|---|
| Universal Primer R | CGCTGTCAACGATACGCTACGTAAC |
| bta-miR-149-5p F | ATATCTGGCTCCGTGTCTTCACTCC |
| bta-miR-1307 F | TTATAATTATACTCGGCGTGGCGTCG |
| bta-miR-12043 F | ATTACCTCCAGGGCTAGGAGGTG |
| bta-miR-11987 F | CGAGGAATCTCTGGTGGAGGT |
| U6 F | CGAACGCTTCACGAATTTGCGT |
| U6 R | CTCGCTTCGGCAGCACA |
Statistical analyses
For each measurement, the results were obtained from at least three independent experiments, are presented as the mean ± standard error of the mean (SEM), And were Analysed in GraphPad Prism version 6.0 (GraphPad Software, CA, USA). For parametric data, multiple comparisons of populations of equal variance were performed using one-way ANOVA and post hoc tests (Tukey’s test), whereas pairwise comparisons were performed using two-tailed Student’s t tests. In this case, statistical significance was indicated by p < 0.05, and p values < 0.05, 0.01, And 0.001 are marked as *, **, and *** in the figures, respectively.
Results
Characterization of EVs secreted by MAC-T cells and induced by M. bovis NX2 infection
EVs derived from infected cells were extracted without cell debris to determine their role in regulating the host inflammatory response. For this purpose, MAC-T cells were first infected with M. bovis for 24 h at different MOIs (5, 10, 20, 30, 50, And 100), And the MTT assay revealed that the viability of infected And uninfected cells did not significantly differ. Hence, an MOI of 10 was selected for subsequent experiments based on published literature (Figure 1A). EVs derived from M. bovis-infected and uninfected MAC-T cells and designated M. bovis NX2-EVs and Ctrl-EVs, respectively (Figure 1B), were characterized using TEM, DLS, western blotting and BCA analysis. Both types of EVs exhibited a cup-shaped morphology with a bilayered-membrane structure (Figure 1C) and expressed CD63, CD9 and TSG101 but not the cytoplasmic protein calnexin (Figure 1D). DLS analysis further revealed that the average diameters of the Ctrl-EVs and M. bovis NX2-EVs were 169.17 nm And 188.80 nm, respectively (Figures 1E and F). Therefore, the findings indicated that the two types of EVs were not significantly different in terms of size distribution or morphological characteristics. Interestingly, compared with that in the uninfected group, the concentration of EVs was greater in the group of MAC-T cells infected with M. bovis (Figure 1G). Furthermore, the absence of any potential interference from M. bovis NX2 in the EVs was verified through mycoplasma culture and PCR, and the results confirmed the absence of the organism from the extracted EVs (Figure 1H) as well as successful EV isolation for subsequent experiments. In addition, we detected the presence of NOX (a marker of M. bovis EVs) in M. bovis NX2-EVs (10, 50, 100 And 200 μg/mL) by western blotting. The M. bovis adhesion-associated protein NOX was not detected in M. bovis NX2-EVs (Figure 1I). Finally, we tested whether the survival of M. bovis NX2 would be affected in DMEM/F-12 supplemented with 10% FBS. The CFU results indicated that the MAC-T-cell culture media maintained live M. bovis NX2 for up to 12 h of incubation, but when the incubation time was extended to 24 h, the viability of M. bovis NX2 decreased slightly (Additional file 1).
Figure 1.
Characterization of Ctrl-EVs and M. bovis NX2-EVs. A MTT assay to assess the viability of MAC-T cells infected with M. bovis NX2 for 24 h at different MOIs (5, 10, 20, 30, 50, And 100). B Schematic diagram of the Ctrl-EV and M. bovis NX2-EV separation process. C Representative TEM images of Ctrl-EVs and M. bovis NX2-EVs. D Semiquantitative analysis of CD63, CD81 and TSG101 along with the negative control calnexin by western blotting. E, F Size distribution of Ctrl-EVs and M. bovis NX2-EVs analysed by a nanoparticle tracking analyser. G Concentrations of Ctrl-EVs and M. bovis NX2-EVs as determined by the BCA assay. Scale bar: 100 nm. H Ctrl, M. bovis NX2 culture media. M. bovis NX2 was cultured as a positive control. CS (cell supernatants; 10 000 × g for 30 min). The supernatants of M. bovis NX2-infected MAC-T cells were centrifuged at 10 000 × g for 30 min to isolate the EVs. After centrifugation at 120 000 × g for 70 min, the supernatants of M. bovis NX2-infected MAC-T cells were centrifuged at 120 000 × g for 70 min to isolate the EVs. EVs, EVs from M. bovis NX2-infected MAC-T cells. These components were added to PPLO And cultured for 7–10 days. Detection of M. bovis NX2 in the process of EV isolation by PCR. I The abundance of the TSG101 and NOX proteins was determined by western blotting. The results are presented as the mean ± SEM from three independent experiments, and two-tailed Student’s t tests were used to analyse the data shown in (A), (F) and (G); ***p < 0.001 indicates a statistically significant difference; ns indicates no difference.
Figure 4.
Mycoplasma bovis NX2-EVs induce an inflammatory response in monocyte-derived macrophages. A Verification of mouse bone marrow-derived macrophages (BMDMs) by flow cytometry. B Western blotting was used to measure TNF-α levels in BMDMs after they were incubated with 50 μg/mL Ctrl-EVs or M. bovis NX2-EVs for 24 h. C Expression levels of TNF-α, IL-6 and IL-1β, as determined by qRT‒PCR, after BMDMs were incubated for 24 h with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs. D Verification of bovine monocyte-derived macrophages by flow cytometry. E western blotting was used to measure TNF-α levels in bovine monocyte-derived macrophages after they were incubated with 50 μg/mL Ctrl-EVs or M. bovis NX2-EVs for 24 h. F Expression levels of TNF-α, IL-6 and IL-1β, as determined by qRT‒PCR, after bovine monocyte-derived macrophages were incubated with 50 μg/mL Ctrl-EVs or M. bovis NX2-EVs for 24 h. The results are presented as the mean ± SEM of three independent experiments; Student’s t test was used to analyse the data; *p > 0.05, **p < 0.01, and *** p < 0.001 indicate a significant difference; ns indicates no difference.
Uptake of EVs through endocytosis and megalocytosis in BoMacs
EVs can be taken up by receptor cells through different mechanisms that are dependent on the type of recipient cell and the source of the EV. To confirm the uptake of MAC-T-derived EVs by BoMacs, Ctrl-EVs and M. bovis NX2-EVs were labelled with fluorescent DID prior to 24 h of incubation with BoMacs. Immunofluorescence results subsequently revealed the presence of the fluorescent dye in the cytoplasm, thus confirming that all the EVs were internalized by the BoMacs (Figure 2A). The mechanisms involved in the uptake of the EVs were then investigated by first treating the cells for 12 h with different concentrations of the endocytosis inhibitors heparin (0, 5, 10, 20, And 50 μg/mL) and Dynasore (0, 25, 50, 100, And 200 μM) as well as the megalocytosis inhibitors amiloride (0, 0.25, 0.5, 1, And 1.5 mM), chlorpromazine (0, 5, 10, 20, And 50 μM) and EIPA (0, 10, 20, 40, And 60 μM) to determine their cytotoxicity at different concentrations. Overall, heparin and EIPA had less effects on cell viability, whereas in the case of cytochalasin D, amiloride and chlorpromazine, cell viability was dependent on the concentration used (Figures 2B–F). Based on the results, BoMacs were pretreated with 20 μg/mL heparin, 25 μM Dynasore, 0.25 mM amiloride, 5 μM chlorpromazine And 40 μM EIPA for 6 h, after which they were incubated with DID-labelled M. bovis NX2-EVs for 12 h before their EV uptake was assessed by flow cytometry. These inhibitors significantly reduced the uptake of EVs by BoMacs, with the endocytosis inhibitors heparin And Dynasore accounting for 80% of the inhibition (Figure 2G). Hence, while two pathways are involved in the internalization of EVs by BoMacs, endocytosis appears to be the main pathway involved in M. bovis NX2-EV-mediated communication between MAC-T cells and BoMacs.
Figure 2.
Reduced uptake of EVs by BoMacs using endocytosis and megalocytosis inhibitors. A Representative confocal images of Ctrl-EVs and M. bovis NX2-EVs after incubation with BoMacs for 24 h. DAPI-labelled nuclei (blue), phalloidin-labelled cytoskeleton (red), and DID-labelled Ctrl-EVs and M. bovis NX2-EVs (green). Scale bar: 30 μm. MTT assays were performed to assess the viability of BoMacs pretreated with different concentrations of amiloride (B), heparin (C), Dynasore (D), chlorpromazine (E) and EIPA (F) for 12 h. (G) Average intensity of DID fluorescence in BoMacs, as determined by flow cytometry, after 6 h of pretreatment with heparin (20 μg/mL), Dynasore (25 μM), amiloride (0.25 mM), chlorpromazine (5 μM) and EIPA (40 μM) and subsequent incubation with DID-labelled M. bovis NX2-EVs for 12 h. The results are presented as the mean ± SEM from three independent experiments, and two-tailed Student’s t tests were used to analyse the data shown in (B–F); *p > 0.05, **p < 0.01, and ***p < 0.001 indicate a significant difference; ns indicates no difference.
Mycoplasma bovis NX2-EVs induce an inflammatory response in BoMacs
BoMacs were incubated for 24 h with 0, 12.5, 25, 50, 100 And 200 μg/mL EVs to determine whether M. bovis NX2-EVs could induce An inflammatory response in the cells. Western blotting subsequently revealed that 50 μg/mL M. bovis NX2-EVs could significantly increase the expression of the proinflammatory cytokine TNF-α; hence, this concentration was selected for subsequent experiments (Figures 3A and B). Since the body temperature of cattle is usually approximately 38.5 °C and has been verified to impact the bovine immune response to M. bovis [31], we next investigated whether body temperature could influence the expression of TNF-α in BoMacs treated with M. bovis NX2-EVs. The results indicated that M. bovis NX2-EVs increased the expression of TNF-α in BoMacs at 38.5 °C (Additional file 2). BoMacs were then incubated with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs for 12 And 24 h before the expression of proinflammatory cytokines was measured by qRT‒PCR. Compared with the Ctrl and Ctrl-EVs, M. bovis NX2-EVs elicited significantly higher levels of TNF-α, IL-8, IL-6 and IL-1β (Figures 3C and D), and these results were further confirmed by immunofluorescence, which revealed the significantly increased fluorescence intensity for IL-6, IL-1β and TNF-α in M. bovis NX2-EVs (Figures 3E–G). Taken together, these results suggest that M. bovis NX2 infection of MAC-T cells may induce an inflammatory response in BoMacs through the release of EVs.
Figure 3.
Effects of Ctrl-EVs and M. bovis NX2-EVs on the inflammatory response of BoMacs. A, B western blotting was used to measure TNF-α levels after BoMacs were incubated with 0, 12.5, 25, 50, 100 And 200 μg/mL Ctrl-EVs and M. bovis NX2-EVs for 24 h. C, D Expression levels of TNF-α, IL-8, IL-6 and IL-1β, as determined by qRT‒PCR, after BoMacs were incubated for 12 or 24 h with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs. Representative immunofluorescence images of BoMacs pretreated with anti-TNF-α antibody (green) (E), anti-IL-1β antibody (red) (F), and anti-IL-6 antibody (red) (G) as well as DAPI to label nuclei (blue) before 24 h of incubation with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs. Scale bar: 50 μm. The results are presented as the mean ± SEM of three independent experiments; one-way ANOVA and Tukey’s test were used to analyse the data shown in (C) and (D), while a two-tailed Student’s t test was used to analyse the data shown in (B); *p > 0.05, **p < 0.01, and ***p < 0.001 indicate a significant difference; ns indicates no difference.
Mycoplasma bovis NX2-EVs induce an inflammatory response in BMDMs and bovine monocyte-derived macrophages
Although BoMacs a widely used bovine macrophage cell line, primary cells better mimic in vivo conditions than cell lines do. Therefore, we isolated bovine monocyte-derived macrophages and BMDMs for further study. To determine the purity of the BMDMs, the cells were stained with an anti-CD11b antibody. Flow cytometry analysis revealed that the harvested adherent cells contained > 95% CD11b-labelled macrophages (Figure 4A). BMDMs were then incubated with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs for 24 h before the expression of proinflammatory cytokines was detected by western blotting and qRT‒PCR. As expected, compared with Ctrl-EVs, M. bovis NX2-EVs significantly promoted the expression of IL-6, IL-1β and TNF-α (Figures 4B and C). To identify bovine monocyte-derived macrophages after isolation and differentiation, the cells were labelled with an anti-CD14 antibody. Flow cytometry analysis revealed that the harvested adherent cells contained > 95% CD14-labelled macrophages (Figure 4D). Subsequently, bovine monocyte-derived macrophages were treated with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs for 24 h. Similarly, M. bovis NX2-EVs increased the levels of proinflammatory cytokines (IL-1β, IL-6 and TNF-α) in bovine monocyte-derived macrophages (Figures 4E and F). Taken together, these results strongly suggest that EVs derived from M. bovis NX2-infected MAC-T cells can induce inflammatory responses in macrophages.
Differential gene enrichment and analysis of the M. bovis NX2-EV-induced inflammatory response in BoMACs
To further explore the differential gene expression induced by Ctrl-EVs and M. bovis NX2-EVs in BoMacs during the inflammatory response, transcriptome sequencing was performed after 12 And 24 h of treatment. After 12 h, 12 714 genes were common, whereas 233 And 194 genes were unique to BoMacs that had been treated with Ctrl-EVs and M. bovis NX2-EVs, respectively. Similarly, BoMacs showed 12,853 shared genes but 222 And 180 unique genes following 24 h of treatment with Ctrl-EVs and M. bovis NX2-EVs. A hierarchical cluster plot was then constructed to display the significantly differentially expressed genes (DEGs, adjusted p < 0.05, fold change > 1.5) in the different treatment groups (Figure 5A). Overall, it was found that the 12-h treatment with M. bovis NX2-EVs significantly upregulated 26 genes And downregulated 25 genes in BoMacs as opposed to treatment with Ctrl-EVs. Additionally, incubating BoMacs with M. bovis NX2-EVs for 24 h led to the significant upregulation of 26 genes, while 32 genes were downregulated (Figure 5B). GO enrichment Analysis subsequently revealed that after both 12 And 24 h of treatment, the DEGs were enriched in chemokine receptor binding, chemokine activity, immune system processes, immune response, signalling receptor binding, cytokine receptor binding, receptor regulator activity, cytokine activity and G protein-coupled receptor binding (Figures 5C and D). Similarly, KEGG enrichment analysis revealed that the main pathways in which the DEGs were involved included the rheumatoid arthritis, NF-kappa B, TNF, IL-17 and chemokine signalling pathways, as well as many other biological processes associated with cellular inflammatory responses (Figures 5E and F). Subsequent GSEA analysis showed that Toll-like-receptors, NF-kappa B, TNF and IL-17, which are associated with higher ENS scores and inflammatory pathways, were all enriched in M. bovis NX2-EV-treated cells (Figure 5G). The NF-kappa B pathway and Toll-like receptor signalling are crucial for inflammation and innate immunity because of their involvement in the release of inflammatory cytokines and in modulating responses. These findings suggest that M. bovis NX2-EVs induce inflammatory responses in BoMacs, potentially through the NF-kappa B pathway and Toll-like receptor signalling.
Figure 5.
Effects of Ctrl-EVs and M. bovis NX2-EVs on the inflammatory response of BoMacs. A Heatmap showing differentially expressed genes (DEGs) in response to different treatments. B Bar graph showing the number of DEGs in different treatment groups. C, D GO enrichment analysis of all significant DEGs, with BP (biological process), CC (cellular component) and MF (molecular function) indicated by red, green and blue, respectively. E, F KEGG pathway enrichment analysis of DEGs. G Gene set enrichment analysis of the Toll-like receptor, NF-kappa B, TNF and IL-17 signalling pathways.
Screening and validation of differentially expressed proteins in Ctrl-EVs and M. bovis NX2-EVs
The above results indicated that M. bovis NX2-EVs induced An inflammatory response in BoMacs, And it was hypothesized that different components of EVs could be involved in the induction of that response. In this case, proteomic analyses revealed a total of 1773 proteins, of which 82 And 23 were unique to Ctrl-EVs and M. bovis NX2-EVs, respectively (Figure 6A). Interestingly, no proteins attributed to M. bovis were identified. Subsequent differential analyses revealed that compared with the Ctrl-EVs, the M. bovis NX2-EVs resulted in significant changes in the expression of 113 proteins (86 upregulated And 27 downregulated) (Figure 6B), with organelle localization analysis further indicating that these differential proteins were mostly localized in the cytoplasmic, nuclear, mitochondrial and extracellular spaces (Figure 6C). To better understand the functions and localization of the differential proteins as well as the biological pathways in which they were involved, GO functional annotation was performed. With respect to biological processes (BP), the proteins were enriched mainly in cell developmental processes, whereas in terms of cellular components (CC), protein-containing complexes were enriched the most. Finally, regarding molecular function (MF), the proteins were enriched mainly in transcriptional regulators (Figure 6D). This was followed by KEGG pathway enrichment analysis of the differentially expressed proteins, with the results highlighting significant enrichment of cytokine‒cytokine receptor interactions, chemokine and TNF signalling, IL-17, viral protein interactions with cytokines and cytokine receptors and NF-kappa B pathways (Figure 6E). Taken together, these findings suggest that the differentially expressed proteins in EVs may also be crucial for regulating inflammatory responses. In addition, the significant upregulation of the JCHAIN, JAG1, MAPRE1 and ARCN1 proteins was confirmed by western blotting, with APLP2, a nonsignificantly different protein, selected as the negative control. In this case, compared with the Ctrl-EVs, the M. bovis NX2-EVs exhibited significantly higher expression of the JCHAIN, JAG1, MAPRE1 and ARCN1 proteins, as shown in the results of the quantitative proteomic volcano plots (Figures 6F and G). However, CD63 and TSG101 expression was detected in both types of EVs. The EVs derived from M. bovis NX2-infected MAC-T cells were further characterized by electron microscopy with immunogold labelling to determine the localization of their differentially expressed proteins. The results revealed that JCHAIN, JAG1, MAPRE1 and ARCN1 were localized on the membrane of EVs, whereas the marker protein TSG101 was present in the cytoplasm (Figure 6H). These findings suggest that EVs released from M. bovis NX2-infected MAC-T cells are heterogeneous, and the involvement of their proteins in chemokine activity, cytokine receptor binding and the regulation of factors involved in transcriptional control further highlights their significance in inducing inflammatory responses in BoMacs.
Figure 6.
Quantitative proteomic analysis of differentially expressed proteins in Ctrl-EVs and M. bovis NX2-EVs. A Venn diagram showing common and unique proteins in Ctrl-EVs and M. bovis NX2-EVs. B Statistics on the identification and quantification of proteins in Ctrl-EVs and M. bovis NX2-EVs. C Histogram of the subcellular localization of differentially expressed proteins between M. bovis NX2-EVs and Ctrl-EVs. D GO enrichment analysis of all significantly differentially expressed proteins; BP (biological process), CC (cellular component) and MF (molecular function) are indicated by green, blue and red, respectively. E KEGG enrichment analysis of all significantly differentially expressed proteins. F Volcano diagram of differentially expressed proteins between M. bovis NX2-EVs and Ctrl-EVs; red and blue dots indicate significantly upregulated and downregulated proteins, respectively, whereas grey dots represent proteins whose expression was not significantly different. G The abundance of the JCHAIN, JAG1, MAPRE1, ARCN1, APLP2, TSG101 and CD63 proteins was determined by western blotting. H Representative TEM of EVs labelled with immunogold using anti-JCHAIN, anti-JAG1, anti-MAPRE1, anti-ARCN1 and anti-TSG101 Antibodies. Scale bar: 100 nm.
Differential miRNA expression profiles between Ctrl-EVs and M. bovis NX2-EVs
miRNAs are among the major cargoes of EVs and are crucial for cell-to-cell communication. Given that M. bovis NX2-EVs can induce an inflammatory response in BoMacs, it was hypothesized that M. bovis NX2 infection alters the miRNA composition of EVs. To investigate whether M. bovis NX2-EVs harbour specific miRNAs that regulate the inflammatory response, small RNA sequencing was performed before the differentially expressed miRNAs between Ctrl-EVs and M. bovis NX2-EVs were analysed. Compared with those in the Ctrl-EVs, a total of nine miRNAs in the M. bovis NX2-EVs (bta-miR-2887, bta-miR-11987, bta-miR-11976, bta-miR-11985, bta-miR-2463, bta-miR-11975, bta-miR-12043, bta-miR-3660, and bta-miR-2285t) were upregulated, while 2 miRNAs (bta-miR-1307 and bta-miR-149-5p) were downregulated (Figures 7A and B). To validate the sequencing data, the expression levels of bta-miR-1307, bta-miR-149-5p, bta-miR-11987 and bta-miR-12043 in Ctrl-EVs and M. bovis NX2-EVs were measured by qRT‒PCR. Consistent with the miRNA-seq results, bta-miR-11987 and bta-miR-12043 were significantly enriched in M. bovis NX2-EVs compared with Ctrl-EVs. Conversely, bta-miR-1307 and bta-miR-149-5p were expressed at significantly lower levels in M. bovis NX2-EVs than in Ctrl-EVs (Figure 7C). The 3'UTR' sequence of the miRNAs was used as the target sequence to predict their corresponding target genes. This was followed by GO enrichment analysis to determine genes that were enriched for signalling regulation, regulation of cellular communication, and intracellular signal transduction (Figure 7D). Furthermore, KEGG enrichment analysis indicated that the differentially expressed miRNA target genes were enriched primarily in the MAPK and Ras signalling pathways (Figure 7E). Overall, the results suggest that differentially expressed miRNAs may activate the MAPK and Ras signalling pathways by binding to target genes in BoMacs.
Figure 7.
Analysis and characterization of miRNA expression profiles in Ctrl-EVs and M. bovis NX2-EVs. A Volcano plots and bar graphs showing differentially expressed miRNAs between Ctrl-EVs and M. bovis NX2-EVs. Red and blue dots indicate significantly upregulated miRNAs and downregulated miRNAs, respectively, in M. bovis NX2-EVs compared with Ctrl-EVs, whereas grey dots indicate miRNAs whose expression did not significantly differ. B Heatmap showing differentially expressed miRNAs between Ctrl-EVs and M. bovis NX2-EVs, with red and green representing upregulated and downregulated miRNAs, respectively, in M. bovis NX2-EVs. C The expression of bta-miR-11987, bta-miR-12043, bta-miR-1307 and bta-miR-149-5p was measured by qRT‒PCR. D GO enrichment analysis of the predicted target genes of the differentially expressed miRNAs. E KEGG enrichment analysis of the predicted target genes of the differentially expressed miRNAs. The results are presented as the mean ± SEM from three independent experiments, and a two-tailed Student’s t test used to analyse the data shown in (C); **p < 0.01 and ***p < 0.001 indicate a significant difference.
Discussion
M. bovis is a pathogen that poses a significant threat to the global cattle industry worldwide, causing various diseases, such as bovine pneumonia, mastitis and arthritis, that result in substantial economic losses [1, 2]. Epithelial cells act as the first line of defence against pathogen infection. Upon M. bovis infection, the organism adheres to and invades mammary gland epithelial cells, prompting the upregulation of proinflammatory chemokines and cytokines by MAC-T cells [26, 28, 32]. Additionally, M. bovis activates bovine macrophages, leading to the secretion of proinflammatory cytokines, such as TNF-α, IL-4 and IFN-γ. These cytokines, in turn, induce inflammatory responses that cause pathological immune injuries, thus highlighting their critical role in the pathogenesis of M. bovis [12, 33, 34].
EVs, membrane-encapsulated and heterogeneous particles secreted by all cell types, are key mediators of intercellular communication that modulate cellular immune responses by transporting biomolecules, such as nucleic acids, RNAs and proteins, to target cells [35]. EVs interact with and are internalized by target cells through different mechanisms, including endocytosis, phagocytosis and macrocytosis [17–19]. In this study, BoMacs were found to take up MAC-T-derived EVs primarily through endocytosis and macrocytosis. Numerous studies have shown that EVs derived from various cells are crucial for regulating the secretion of inflammatory cytokines from target cells. For example, EVs derived from tumour cells regulate the inflammatory responses of nearby or distal immune cells [36], whereas those obtained from COM-treated macrophages stimulated the release of IL-8 by renal tubular cells and monocytes [37]. Furthermore, treating naïve mice with EVs isolated from the serum of LPS-treated mice increased the levels of the proinflammatory cytokines IL-6 and TNF-α in the lungs of the injected animals [38]. Similarly, in other studies, EVs purified from the semen of fertile males stimulated the release of IL-8 and IL-6 by human endometrial stromal cells [39], whereas those released from LPS-treated RAW264.7 cells increased the expression of caspase-1, ASC and NLRP3 after being taken up by AML-12 hepatocytes. These findings suggest that EVs secreted by cells exposed to external factors may carry immunostimulatory molecules that elicit inflammatory responses in target cells. Consistent with the above data, the current results demonstrated that EVs released from M. bovis-infected MAC-T cells could induce the expression of TNF-α, IL-8, IL-6 and IL-1β in BoMacs. It was also noted that the DEGs were mainly enriched in NF-kappa B, TNF and IL-17 signalling pathways in BoMacs following treatment with M. bovis NX2-EVs. GSEA subsequently revealed the enrichment of pathways associated with Toll-like receptors and NF-kappa B, TNF and IL-17 signalling in the same cells. Notably, the NF-kappa B pathway is a critical mediator of innate immunity and inflammation, especially because it drives the secretion of inflammatory cytokines to regulate the immune responses of cells. Recently, studies have revealed that intramammary M. bovis infection induces the expression of TNF-α, IL-1β, IL-6, and TGF-α in mammary gland tissues and milk [40, 41]. Similarly, we found that EVs derived from M. bovis NX2-infected MAC-T cells can increase the expression of TNF-α, IL-1β, and IL-6 in BoMacs, BMDMs, and bovine monocyte-derived macrophages. Therefore, we propose that EVs derived from M. bovis NX2-infected MAC-T cells increase the development of mastitis. However, the precise mechanism underlying this response requires further investigation.
Interestingly, several studies have shown that various factors can stimulate the release of EVs [42]. For instance, Mycobacterium tuberculosis infection triggers the release of EVs from neutrophils, which subsequently promotes macrophage autophagy [43]. Similarly, Cryptococcus induces macrophages to secrete EVs that facilitate BEAS-2B cell death [44]. Consistent with these observations, this study revealed an increased abundance of EVs in MAC-T cells treated with M. bovis NX2. However, whether the amount of EVs released locally during infection is sufficient to trigger an inflammatory response remains unclear. More importantly, differences in the composition of EVs produced by pathogen-infected hosts are crucial for modulating the response of immune cells to infection. On the one hand, high levels of pathogenic proteins are often present in EVs released from pathogen-infected cells, and these proteins are subsequently involved in the induction of proinflammatory responses. For instance, EVs from pathogen-infected cells tend to be enriched in proteins, whereas in the case of M. tuberculosis-infected THP-1 cells, exosomes containing LAM and M. bovis lipoprotein are often released, with these subsequently inducing inflammatory responses in THP-1 cells [45]. Following stimulation by M. bovis, J774 cells have also been shown to release exosomes that contain the Ag85 complex, a major secreted protein found in the culture medium of M. bovis that is capable of triggering the secretion of the inflammatory cytokines IL-6 and IL-1β [46]. Recently, M. bovis-derived EVs elicited the same immune responses in bovine primary blood cells as those induced by live M. bovis. In addition, M. bovis adhesion to NOX was demonstrated in M. bovis EVs [47]. We further detected the presence of NOX in M. bovis NX2-EVs to eliminate the contamination of M. bovis EVs. The results revealed that the Mycoplasma adhesion-associated protein NOX was not detected in M. bovis NX2-EVs. These data indicate that M. bovis NX2-EVs can induce inflammatory responses in BoMacs, BMDMs, and bovine monocyte-derived macrophages in the absence of M. bovis-derived proteins. In contrast, high levels of host vesicle components have also been identified in EVs released from pathogen-infected cells, and these components are often involved in inducing proinflammatory responses. In this context, Tannerella forsythia-infected macrophage-derived EVs were found to harbour high levels of inflammatory mediators, which induced the expression of proinflammatory cytokines in THP-1 cells [48]. Similarly, EVs lacking gga-miR-451 and derived from Mycoplasma gallisepticum (MG)-infected CP-II cells increase the production of inflammatory cytokines in chicken fibroblasts (DF-1) [24]. Therefore, based on the findings, it was hypothesized that EVs released from M. bovis-infected MAC-T cells carry inflammatory mediators, which may contribute to the pathogenesis of bovine mastitis and related diseases.
A comprehensive and comparative analysis of the composition and function of EV cargo proteins and miRNAs from M. bovis-infected And uninfected MAC-T cells was performed. Overall, 27 And 86 proteins were significantly downregulated and upregulated, respectively, in M. bovis NX2-EVs compared with Ctrl-EVs. These differentially expressed proteins were enriched in signalling pathways, such as the NF-kappa B, IL-17, and TNF pathways. Furthermore, the protein expression of JCHAIN, JAG1, MAPRE1 and ARCN1 was significantly enriched in M. bovis NX2-EVs, and immunogold labelling indicated that these proteins were localized on the membrane of EVs. Moreover, JCHAIN was the most enriched protein, with involvement in cellular immune regulation and related diseases. It was previously reported that JCHAIN was involved in breast cancer invasion and metastasis through regulation of the NF-kappa B signalling pathway [49]. Similarly, it was the most abundant protein produced in vivo and was found to be involved in intestinal homeostasis and mucosal immunity [50]. It has been reported that microtubule-associated protein RP/EB family member 1 (MAPRE1) interacts with HIV-1 regulatory viral proteins and impairs the immune function of HIV-1-infected macrophages [51]. Numerous studies have shown that JAG1-mediated Notch signalling is crucial for regulating human airway epithelial cell differentiation, pulmonary fibrosis and other diseases [52, 53]. However, their potential to regulate inflammatory responses during M. bovis infection has not been demonstrated. In addition, several studies have indicated that certain membrane proteins, such as Cav-1, nSMase2, and Vps4A, are involved in the biogenesis of EVs [54]. Surprisingly, studies have reported that the JAG1 protein promotes EV secretion and is involved in cargo sorting [55]. Further studies are needed to elucidate the potential roles of these membrane proteins in cargo sorting. Taken together, these results suggest that the most enriched proteins, JCHAIN and MAPRE1, in M. bovis NX2-EVs may induce an inflammatory response in BoMacs.
Subsequent miRNA analysis revealed that nine miRNAs were upregulated and two were downregulated in M. bovis NX2-EVs compared with Ctrl-EVs, suggesting that the infection influenced the expression of EV miRNAs in MAC-T cells. miRNAs are important for regulating the interactions between pathogens and host cells [56]. Among these differentially expressed miRNAs, bta-miR-1307 and bta-miR-149-5p were have lower expression levels in M. bovis NX2-EVs than in Ctrl-EVs. Additionally, bta-miR-11987 and bta-miR-12043 were enriched in M. bovis NX2-EVs; notably, in foot-and-mouth disease, miR-1307 attenuates the replication of FMDV by destabilizing the viral structural protein VP3 and enhancing the host innate immune response [57]. Additionally, osteosarcoma (OS) cell-derived EV miR-1307 can promote the proliferation, migration and invasion of OS cells [58], whereas other reports highlight the role of miR-149-5p in the development of metabolic dysfunction-associated steatohepatitis (MASLD) via multiple metabolic and inflammatory pathways in hepatocytes [59, 60]. However, studies on the function of miR-11987 and miR-12043 are limited. Furthermore, KEGG enrichment analysis revealed that the differentially expressed miRNA target genes were enriched primarily in the MAPK and Ras signalling pathways. MAPK is important for inducing, promoting and regulating inflammatory responses in the immune system. These results suggest that the expression of the miRNAs bta-miR-1307 and bta-miR-149-5p could be linked to the modulation of inflammatory responses during M. bovis infection. Although this study did not generate evidence in support of this link, the investigation of the potential molecular mechanisms linking bta-miR-1307 and bta-miR-149-5p to the MAPK and Ras pathways in target cells deserves further exploration.
In conclusion, this study revealed that EVs derived from M. bovis-infected MAC-T cells promote inflammatory responses in bovine macrophages. Furthermore, the enriched proteins JCHAIN and MAPRE1 as well as the low-abundance miRNAs bta-miR-1307 and bta-miR-149-5p could be involved in regulating the inflammatory response. These results enhance the current knowledge of M. bovis–host interactions and reveal the mechanism of host resistance to infection while providing new insights for exploring the pathogenic mechanism of M. bovis.
Supplementary Information
Additional file 1. Mycoplasma bovis NX2 survival in DMEM/F-12 and PPLO. CFU counts taken at different time points. (A) M. bovis NX2 was grown in PPLO. (B) M. bovis NX2 was grown in DMEM/F-12 (10% FBS). The results are presented as the mean ± SEM from three independent experiments; Student’s t test was used to analyse the data. *** p < 0.001 indicates a significant difference; ns indicates no difference.
Additional file 2. Mycoplasma bovis NX2-EVs induced TNF-α expression in BoMacs at 38.5 °C. (A) western blotting was used to measure TNF-α levels in BoMacs incubated with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs at 38.5 °C for 24 h. (B) The intensity of the TNF-α band relative to that of the GAPDH band was analysed by ImageJ software. The results are presented as the mean ± SEM from three independent experiments; Student’s t test was used to analyse the data. ** p < 0.01 indicates a significant difference; ns indicates no difference.
Acknowledgements
The authors would like to thank Prof. Aizhen Guo (Huazhong Agricultural University, China) for providing the BoMacs and MAC-T cells.
Authors' contributions
YiW, GZ, and YuW: study design. YiW, XY, JM, and GZ: study conduct. YiW and GZ: data analysis and interpretation. YiW and GZ: manuscript writing. YiW and LiX: data curation. YuW, GZ, and ML: Funding acquisition. All authors provided feedback on the manuscript. We also thank FigDraw for assisting in creating the flowchart. All authors have read and approved the final manuscript.
Funding
This work was supported by the National Natural Science Foundation of China Joint Fund Project (U22A20505), the National Natural Science Foundation of China (#32473030), and the Natural Science Foundation of Ningxia (Nos. 2024AAC05039 and 2023AAC02016).
Availability of data and materials
The RNA-seq and miRNA-seq data have been deposited in the Gene Expression Omnibus (GEO) database under the accession codes GSE281774 and GSE281987. The mass spectrometry proteomic data have been deposited in the iProX with the dataset identifier PXD057725. The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
The animal study was approved by the Animal Experimental Ethical Inspection Forum of Ningxia University. The study was conducted in accordance with local legislation and institutional requirements.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Gang Zhao, Email: zhaogang@nxu.edu.cn.
Yujiong Wang, Email: wyj@nxu.edu.cn.
References
- 1.Askar H, Chen S, Hao H, Yan X, Ma L, Liu Y, Chu Y (2021) Immune evasion of Mycoplasma bovis. Pathogens 10:297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Suwanruengsri M, Uemura R, Kanda T, Fuke N, Nueangphuet P, Pornthummawat A, Yasuda M, Hirai T, Yamaguchi R (2022) Production of granulomas in Mycoplasma bovis infection associated with meningitis-meningoencephalitis, endocarditis, and pneumonia in cattle. J Vet Diagn Invest 34:68–76 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Cantón G, Llada I, Margineda C, Urtizbiría F, Fanti S, Scioli V, Fiorentino MA, Louge Uriarte E, Morrell E, Sticotti E, Tamiozzo P (2022) Mycoplasma bovis-pneumonia and polyarthritis in feedlot calves in Argentina: first local isolation. Rev Argent Microbiol 54:299–304 [DOI] [PubMed] [Google Scholar]
- 4.Gelgie AE, Korsa MG, Kerro Dego O (2022) Mycoplasma bovis mastitis. Curr Res Microb Sci 3:100123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Dudek K, Nicholas RAJ, Szacawa E, Bednarek D (2020) Mycoplasma bovis infections-occurrence, diagnosis and control. Pathogens 9:640 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hale HH, Helmboldt CF, Plastridge WN, Stula EF (1962) Bovine mastitis caused by a Mycoplasma species. Cornell Vet 52:582–591 [PubMed] [Google Scholar]
- 7.Zhu X, Baranowski E, Dong Y, Li X, Hao Z, Zhao G, Zhang H, Lu D, Rasheed MA, Chen Y, Hu C, Chen H, Sagné E, Citti C, Guo A (2020) An emerging role for cyclic dinucleotide phosphodiesterase and nanoRNase activities in Mycoplasma bovis: Securing survival in cell culture. PLoS Pathog 16:e1008661 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Guo M, Wang G, Lv T, Song X, Wang T, Xie G, Cao Y, Zhang N, Cao R (2014) Endometrial inflammation and abnormal expression of extracellular matrix proteins induced by Mycoplasma bovis in dairy cows. Theriogenology 81:669–674 [DOI] [PubMed] [Google Scholar]
- 9.Wang Y, Liu S, Li Y, Wang Q, Shao J, Chen Y, Xin J (2016) Mycoplasma bovis-derived lipid-associated membrane proteins activate IL-1β production through the NF-κB pathway via toll-like receptor 2 and MyD88. Dev Comp Immunol 55:111–118 [DOI] [PubMed] [Google Scholar]
- 10.Schneider P, Brill R, Schouten I, Nissim-Eliraz E, Lysnyansky I, Shpigel NY (2022) Lipoproteins are potent activators of nuclear factor kappa B in mammary epithelial cells and virulence factors in Mycoplasma bovis mastitis. Microorganisms 10:2209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hermeyer K, Jacobsen B, Spergser J, Rosengarten R, Hewicker-Trautwein M (2011) Detection of Mycoplasma bovis by in-situ hybridization and expression of inducible nitric oxide synthase, nitrotyrosine and manganese superoxide dismutase in the lungs of experimentally-infected calves. J Comp Pathol 145:240–250 [DOI] [PubMed] [Google Scholar]
- 12.Schott C, Cai H, Parker L, Bateman KG, Caswell JL (2014) Hydrogen peroxide production and free radical-mediated cell stress in Mycoplasma bovis pneumonia. J Comp Pathol 150:127–137 [DOI] [PubMed] [Google Scholar]
- 13.Khan LA, Miles RJ, Nicholas RA (2005) Hydrogen peroxide production by Mycoplasma bovis and Mycoplasma agalactiae and effect of in vitro passage on a Mycoplasma bovis strain producing high levels of H2O2. Vet Res Commun 29:181–188 [DOI] [PubMed] [Google Scholar]
- 14.Perez-Casal J (2020) Pathogenesis and virulence of Mycoplasma bovis. Vet Clin North Am Food Anim Pract 36:269–278 [DOI] [PubMed] [Google Scholar]
- 15.Mohammadipoor A, Hershfield MR, Linsenbardt HR, Smith J, Mack J, Natesan S, Averitt DL, Stark TR, Sosanya NM (2023) Biological function of extracellular vesicles (EVs): a review of the field. Mol Biol Rep 50:8639–8651 [DOI] [PubMed] [Google Scholar]
- 16.Kita S, Shimomura I (2022) Extracellular vesicles as an endocrine mechanism connecting distant cells. Mol Cells 45:771–780 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhang H, Wang L, Li C, Yu Y, Yi Y, Wang J, Chen D (2019) Exosome-induced regulation in inflammatory bowel disease. Front Immunol 10:1464 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Anand PK, Anand E, Bleck CK, Anes E, Griffiths G (2010) Exosomal Hsp70 induces a pro-inflammatory response to foreign particles including mycobacteria. PLoS One 5:e10136 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bhatnagar S, Schorey JS (2007) Exosomes released from infected macrophages contain Mycobacterium avium glycopeptidolipids and are proinflammatory. J Biol Chem 282:25779–28789 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mitsuhashi S, Feldbrügge L, Csizmadia E, Mitsuhashi M, Robson SC, Moss AC (2016) Luminal extracellular vesicles (EVs) in inflammatory bowel disease (IBD) exhibit proinflammatory effects on epithelial cells and macrophages. Inflamm Bowel Dis 22:1587–1595 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tang TT, Wang B, Wu M, Li ZL, Feng Y, Cao JY, Yin D, Liu H, Tang RN, Crowley SD, Lv LL, Liu BC (2020) Extracellular vesicle-encapsulated IL-10 as novel nanotherapeutics against ischemic AKI. Sci Adv 6:eaaz0748 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wang D, Xue H, Tan J, Liu P, Qiao C, Pang C, Zhang L (2022) Bone marrow mesenchymal stem cells-derived exosomes containing miR-539-5p inhibit pyroptosis through NLRP3/caspase-1 signalling to alleviate inflammatory bowel disease. Inflamm Res 71:833–846 [DOI] [PubMed] [Google Scholar]
- 23.Lv LL, Feng Y, Wu M, Wang B, Li ZL, Zhong X, Wu WJ, Chen J, Ni HF, Tang TT, Tang RN, Lan HY, Liu BC (2020) Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury. Cell Death Differ 27:210–226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zhao Y, Fu Y, Zou M, Sun Y, Yin X, Niu L, Gong Y, Peng X (2020) Analysis of deep sequencing exosome-microRNA expression profile derived from CP-II reveals potential role of gga-miRNA-451 in inflammation. J Cell Mol Med 24:6178–6190 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Sun Y, Wang Y, Zhao Y, Zou M, Peng X (2021) Exosomal miR-181a-5p reduce Mycoplasma gallisepticum (HS strain) infection in chicken by targeting PPM1B and activating the TLR2-mediated MyD88/NF-κB signaling pathway. Mol Immunol 140:144–157 [DOI] [PubMed] [Google Scholar]
- 26.Josi C, Bürki S, Stojiljkovic A, Wellnitz O, Stoffel MH, Pilo P (2018) Bovine epithelial in vitro infection models for Mycoplasma bovis. Front Cell Infect Microbiol 8:329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ogunnaike M, Wang H, Zempleni J (2021) Bovine mammary alveolar MAC-T cells afford a tool for studies of bovine milk exosomes in drug delivery. Int J Pharm 610:121263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Gondaira S, Higuchi H, Iwano H, Nishi K, Nebu T, Nakajima K, Nagahata H (2018) Innate immune response of bovine mammary epithelial cells to Mycoplasma bovis. J Vet Sci 19:79–87 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhao G, Zhang H, Chen X, Zhu X, Guo Y, He C, Anwar Khan F, Chen Y, Hu C, Chen H, Guo A (2017) Mycoplasma bovis NADH oxidase functions as both a NADH oxidizing and O2 reducing enzyme and an adhesin. Sci Rep 7:44 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Sun X, Gao S, Chang R, Jia H, Xu Q, Mauck J, Loor JJ, Li X, Xu C (2024) Fatty acids promote M1 polarization of monocyte-derived macrophages in healthy or ketotic dairy cows and a bovine macrophage cell line by impairing mTOR-mediated autophagy. J Dairy Sci 107:7423–7434 [DOI] [PubMed] [Google Scholar]
- 31.Démoulins T, Yimthin T, Lindtke D, Eggerschwiler L, Siegenthaler R, Labroussaa F, Jores J (2024) Temperature impacts the bovine ex vivo immune response towards Mycoplasmopsis bovis. Vet Res 55:18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Yang J, Liu Y, Lin C, Yan R, Li Z, Chen Q, Zhang H, Xu H, Chen X, Chen Y, Guo A, Hu C (2022) Regularity of toll-like receptors in bovine mammary epithelial cells induced by Mycoplasma bovis. Front Vet Sci 9:846700 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Baquero M, Vulikh K, Wong C, Domony M, Burrows D, Marom D, Perez-Casal J, Cai HY, Caswell JL (2021) Effects of inflammatory stimuli on responses of macrophages to Mycoplasma bovis infection. Vet Microbiol 262:109235 [DOI] [PubMed] [Google Scholar]
- 34.Rodríguez F, Castro P, Poveda JB, Afonso AM, Fernández A (2015) Immunohistochemical labelling of cytokines in calves infected experimentally with Mycoplasma bovis. J Comp Pathol 152:243–247 [DOI] [PubMed] [Google Scholar]
- 35.Kalluri R, LeBleu VS (2020) The biology, function, and biomedical applications of exosomes. Science 367:eaau6977 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Marar C, Starich B, Wirtz D (2021) Extracellular vesicles in immunomodulation and tumor progression. Nat Immunol 22:560–570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Singhto N, Thongboonkerd V (2018) Exosomes derived from calcium oxalate-exposed macrophages enhance IL-8 production from renal cells, neutrophil migration and crystal invasion through extracellular matrix. J Proteomics 185:64–76 [DOI] [PubMed] [Google Scholar]
- 38.Jiang K, Yang J, Guo S, Zhao G, Wu H, Deng G (2019) Peripheral circulating exosome-mediated delivery of miR-155 as a novel mechanism for acute lung inflammation. Mol Ther 27:1758–1771 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Paktinat S, Hashemi SM, Ghaffari Novin M, Mohammadi-Yeganeh S, Salehpour S, Karamian A, Nazarian H (2019) Seminal exosomes induce interleukin-6 and interleukin-8 secretion by human endometrial stromal cells. Eur J Obstet Gynecol Reprod Biol 235:71–76 [DOI] [PubMed] [Google Scholar]
- 40.Kauf AC, Rosenbusch RF, Paape MJ, Bannerman DD (2007) Innate immune response to intramammary Mycoplasma bovis infection. J Dairy Sci 7:3336–3348 [DOI] [PubMed] [Google Scholar]
- 41.Gelgie AE, Gelalcha BD, Freeman T, Ault-Seay TB, Beever J, Kerro Dego O (2025) Whole transcriptome analysis of Mycoplasma bovis-host interactions under in vitro and in vivo conditions. Vet Microbiol 303:110426 [DOI] [PubMed] [Google Scholar]
- 42.Zhu J, Liu B, Wang Z, Wang D, Ni H, Zhang L, Wang Y (2019) Exosomes from nicotine-stimulated macrophages accelerate atherosclerosis through miR-21-3p/PTEN-mediated VSMC migration and proliferation. Theranostics 9:6901–6919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Alvarez-Jiménez VD, Leyva-Paredes K, García-Martínez M, Vázquez-Flores L, García-Paredes VG, Campillo-Navarro M, Romo-Cruz I, Rosales-García VH, Castañeda-Casimiro J, González-Pozos S, Hernández JM, Wong-Baeza C, García-Pérez BE, Ortiz-Navarrete V, Estrada-Parra S, Serafín-López J, Wong-Baeza I, Chacón-Salinas R, Estrada-García I (2018) Extracellular vesicles released from Mycobacterium tuberculosis-infected neutrophils promote macrophage autophagy and decrease intracellular mycobacterial survival. Front Immunol 9:272 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Li X, Xu J, Lin X, Lin Q, Yu T, Chen L, Chen L, Huang X, Zhang X, Chen G, Xu L (2024) Macrophages-derived exo-miR-4449 induced by Cryptococcus affects HUVEC permeability and promotes pyroptosis in BEAS-2B via the HIC1 pathway. Cytokine 173:156441 [DOI] [PubMed] [Google Scholar]
- 45.Bhatnagar S, Shinagawa K, Castellino FJ, Schorey JS (2007) Exosomes released from macrophages infected with intracellular pathogens stimulate a proinflammatory response in vitro and in vivo. Blood 110:3234–3244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Giri PK, Schorey JS (2008) Exosomes derived from M. bovis BCG infected macrophages activate antigen-specific CD4+ and CD8+ T cells in vitro and in vivo. PLoS One 3:e2461 [DOI] [PMC free article] [PubMed]
- 47.Wagner TM, Torres-Puig S, Yimthin T, Irobalieva RN, Heller M, Kaessmeyer S, Démoulins T, Jores J (2025) Extracellular vesicles of minimalistic mollicutes as mediators of immune modulation and horizontal gene transfer. Commun Biol 8:674 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lim Y, Kim HY, Han D, Choi BK (2023) Proteome and immune responses of extracellular vesicles derived from macrophages infected with the periodontal pathogen Tannerella forsythia. J Extracell Vesicles 12:e12381 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Wang M, Wu Y, Li X, Dai M, Li S (2023) IGJ suppresses breast cancer growth and metastasis by inhibiting EMT via the NF-κB signaling pathway. Int J Oncol 63:105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Xiong E, Li Y, Min Q, Cui C, Liu J, Hong R, Lai N, Wang Y, Sun J, Matsumoto R, Takahashi D, Hase K, Shinkura R, Tsubata T, Wang JY (2019) MZB1 promotes the secretion of J-chain-containing dimeric IgA and is critical for the suppression of gut inflammation. Proc Natl Acad Sci U S A 116:13480–13489 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Santos da Silva E, Shanmugapriya S, Malikov V, Gu F, Delaney MK, Naghavi MH (2020) HIV-1 capsids mimic a microtubule regulator to coordinate early stages of infection. EMBO J 39:e104870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Gomi K, Staudt MR, Salit J, Kaner RJ, Heldrich J, Rogalski AM, Arbelaez V, Crystal RG, Walters MS (2016) JAG1-mediated notch signaling regulates secretory cell differentiation of the human airway epithelium. Stem Cell Rev Rep 12:454–463 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Zhao S, Xiao X, Sun S, Li D, Wang W, Fu Y, Fan F (2018) Microrna-30d/JAG1 axis modulates pulmonary fibrosis through Notch signaling pathway. Pathol Res Pract 214:1315–1323 [DOI] [PubMed] [Google Scholar]
- 54.Fabbiano F, Corsi J, Gurrieri E, Trevisan C, Notarangelo M, D’Agostino VG (2021) RNA packaging into extracellular vesicles: an orchestra of RNA-binding proteins? J Extracell Vesicles 10:e12043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Xu M, Shi Y, Liu J, Wu M, Zhang F, He Z, Tang M (2023) JAG1 affects monocytes-macrophages to reshape the pre-metastatic niche of triple-negative breast cancer through LncRNA MALAT1 in exosomes. Nan Fang Yi Ke Da Xue Xue Bao 43:1525–1535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Mishra S, Yadav T, Rani V (2016) Exploring miRNA based approaches in cancer diagnostics and therapeutics. Crit Rev Oncol Hematol 98:12–23 [DOI] [PubMed] [Google Scholar]
- 57.Qi L, Wang K, Chen H, Liu X, Lv J, Hou S, Zhang Y, Sun Y (2019) Host microrna miR-1307 suppresses foot-and-mouth disease virus replication by promoting VP3 degradation and enhancing innate immune response. Virology 535:162–170 [DOI] [PubMed] [Google Scholar]
- 58.Han F, Pu P, Wang C, Ding X, Zhu Z, Xiang W, Wang W (2021) Osteosarcoma cell-derived exosomal miR-1307 promotes tumorgenesis via targeting AGAP1. Biomed Res Int 2021:7358153 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Correia de Sousa M, Delangre E, Berthou F, El Harane S, Maeder C, Fournier M, Krause KH, Gjorgjieva M, Foti M (2024) Hepatic miR-149-5p upregulation fosters steatosis, inflammation and fibrosis development in mice and in human liver organoids. JHEP Rep 6:101126 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Law YY, Lee WF, Hsu CJ, Lin YY, Tsai CH, Huang CC, Wu MH, Tang CH, Liu JF (2021) MiR-let-7c-5p and miR-149-5p inhibit proinflammatory cytokine production in osteoarthritis and rheumatoid arthritis synovial fibroblasts. Aging (Albany NY) 13:17227–17236 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional file 1. Mycoplasma bovis NX2 survival in DMEM/F-12 and PPLO. CFU counts taken at different time points. (A) M. bovis NX2 was grown in PPLO. (B) M. bovis NX2 was grown in DMEM/F-12 (10% FBS). The results are presented as the mean ± SEM from three independent experiments; Student’s t test was used to analyse the data. *** p < 0.001 indicates a significant difference; ns indicates no difference.
Additional file 2. Mycoplasma bovis NX2-EVs induced TNF-α expression in BoMacs at 38.5 °C. (A) western blotting was used to measure TNF-α levels in BoMacs incubated with 50 μg/mL Ctrl-EVs and M. bovis NX2-EVs at 38.5 °C for 24 h. (B) The intensity of the TNF-α band relative to that of the GAPDH band was analysed by ImageJ software. The results are presented as the mean ± SEM from three independent experiments; Student’s t test was used to analyse the data. ** p < 0.01 indicates a significant difference; ns indicates no difference.
Data Availability Statement
The RNA-seq and miRNA-seq data have been deposited in the Gene Expression Omnibus (GEO) database under the accession codes GSE281774 and GSE281987. The mass spectrometry proteomic data have been deposited in the iProX with the dataset identifier PXD057725. The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.







