Abstract
Glycans display increasingly recognized roles in pathological contexts, however, their impact in the host-pathogen interplay in many infectious diseases remains largely unknown. This is the case for tuberculosis (TB), one of the ten most fatal diseases worldwide, caused by infection of the bacteria Mycobacterium tuberculosis. We have recently reported that perturbing the core-2 O-glycans biosynthetic pathway increases the host susceptibility to M. tuberculosis infection, by disrupting the neutrophil homeostasis and enhancing lung pathology. In the present study, we show an increased expression of the sialylated glycan structure Sialyl-Lewis X (SLeX) in the lung epithelium upon M. tuberculosis infection. This increase in SLeX glycan epitope is accompanied by an altered lung tissue transcriptomic signature, with up-regulation of genes codifying enzymes that are involved in the SLeX core-2 O-glycans biosynthetic pathway. This study provides novel insights into previously unappreciated molecular mechanisms involving glycosylation, which modulate the host response to M. tuberculosis infection, possibly contributing to shape TB disease outcome.
Keywords: Mycobacterium tuberculosis, lung glycophenotype, Lewis antigens, Sialyl-Lewis X
1. Introduction
Glycosylation is a common post-translation modification, recognized to regulate several key biological processes, either on homeostasis or pathological conditions [1,2,3]. This highly regulated enzyme-mediated modification occurs mainly on the Golgi apparatus and results in the production of glycosidic linkages of saccharides to other saccharides, proteins or lipids [4]. Glycans and glycoconjugates can be classified into several classes, including the protein linked N-glycans and O-glycans. The biosynthesis and modification of glycan structures are tissue- and cell-specific and are dictated by the cellular glycosylation machinery [5].
The crosstalk between glycosylation, infection, inflammation and immune surveillance is well established [6,7,8,9]. Glycans are important mediators in host pathogen interactions, constituting ligands that are explored by the pathogen for the colonization of host tissues, as well as important effector molecules for cellular signaling in response to infection [10,11]. Moreover, glycans are key players in immune cell adhesion and recruitment to the site of infection. We have previously described a critical role of glycan structures in the context of two infections with high relevance to human health: Helicobacter pylori and Mycobacterium tuberculosis. In the case of H. pylori, we showed that infection results in increased expression of sialylated Lewis antigens in the gastric epithelium, which are recognized by the bacterial sialic acid binding adhesin (SabA), contributing to a close contact with the gastric mucosal cells and a tighter fit of the infection load with proficient transfer of virulence factors [12,13]. As for M. tuberculosis, a pathogen that causes over 1.4 million deaths and over 10 million new cases of tuberculosis (TB) per year [14], we have recently described a link between O-glycans and susceptibility to infection [15]. Briefly, the deficiency of Gcnt1, a key enzyme acting on the initial biosynthetic steps of the core-2 O-glycans, was associated with increased susceptibility to M. tuberculosis infection, characterized by augmented lung immune pathology, with both hematopoietic and non-hematopoietic compartments being crucial for this process [15]. Previous studies had shown that a combined deficiency in fucosyltransferases 4 and 7 in the mouse model led to accelerated death following M. tuberculosis infection, which was not caused by increased bacterial proliferation, nor by exacerbated tissue pathology [16]. This combined deficiency was subsequently shown to be associated with reduced numbers of T cells and antigen-specific effector responses in lymph nodes, but normal T cell responses in the lung [17]. Interestingly, all these glycosyltransferases (Gcnt1, Fut4 and Fut7) are involved in the biosynthesis of Lewis antigens [18]. Moreover, it has been recently shown that Mycobacterium bovis infection led to increased expression of specific Lewis epitopes on N-glycans [19].
Lewis antigens are terminal fucosylated structures that decorate glycan chains, and their expression has also been implicated in the recognition and binding of several pathogens [11,12]. These antigens are classified based on their biosynthesis: Type 1 chains are characterized by the Galβ1,3GlcNAc linkage, while type 2 chains display a Galβ1,4GlcNAc linkage [3,20]. The addition of a fucose to terminal galactose (Gal) on type 1 Galβ1-3GlcNAc chain leads to H-type 1 structure, that can be further modified with a fucose on the N-acetylglucosamine (GlcNAc) residue resulting on the di-fucosylated Lewis B (LeB) antigen. Alternatively, an α1,4-fucosyltransferase can act towards the type 1 chain and add a fucose to the GlcNAc residue and lead to the formation of Lewis A (LeA) antigen. The modification of a type 1 chain by an alpha2,3-sialyltransferase followed by addition of fucose results on the biosynthesis of sialyl-Lewis A (SLeA). The biosynthesis of the type 2 Lewis antigens is very similar, with addition of the same glycan units, but it occurs in the type 2 Galβ1-4GlcNAc chains, originating the isomers Lewis X (LeX), Lewis Y (LeY) and sialyl-Lewis X (SLeX) [20,21]. Among the Lewis antigens, SLeX is well studied in inflammation and in infection. Indeed, SLeX mediates the interactions between host cells and some pathogens like H. pylori [12,22].
Despite the growing body of evidence attesting a role of terminal sialylated Lewis antigens in infection, the crosstalk between M. tuberculosis and the lung sialylation profile has never been assessed. Here, we investigated how M. tuberculosis infection impacted the expression of different glycan structures in the lung, using a mouse model of infection. We demonstrate that M. tuberculosis infection promotes the expression of the sialylated glycan structure SLeX, but not of the other Lewis antigens. This increase in the SLeX glycan epitope was observed in infection by two different M. tuberculosis strains, H37Rv and HN878, and in two distinct genetic mouse backgrounds with different infection susceptibility, C57BL/6 and C3HeB/FeJ. Furthermore, we showed that the up-regulation of SLeX tissue expression is concomitant with the higher expression levels of enzymes involved in the biosynthetic pathway of SLeX on core-2 O-glycans. Noteworthy, this increase in the lung epithelium sialylation was also observed in mice lacking Gcnt1 glycosyltransferase, suggesting that the overall increased lung sialylation in response to M. tuberculosis infection results from up-regulation of SLeX terminal decoration on different glycoconjugate carriers. This work further illustrates the existing cross-talk between glycans and infection, highlighting the importance of glycosylation in infectious diseases.
2. Materials and Methods
2.1. Ethics Statement
All animal experiments were performed in accordance with recommendations of the European Union Directive 2010/63/EU, and were approved by the i3S Animal Ethics Committee and the Portuguese National Authority for Animal Health (# 014811/2016-07-13) or by the Animal Experimentation Ethics Committee of the Hospital Universitari Germans Trias i Pujol (#B9900005) and the Dept d’Agricultura, Ramaderia, Pesca, Alimentació i Medi Natural of the Catalan Government.
2.2. Animals
C57BL/6 wild-type and Gcnt1-/- mouse strains were bred and housed at the i3S animal house and infected under ABSL3 conditions. The Gcnt1-/- mouse [23] was obtained from the Consortium for Functional Glycomics (CFG). C3HeB/FeJ specific-pathogen-free mice (6–8 weeks old) were obtained from Jackson Laboratories (Bar Harbor, ME, USA). Mice were supervised daily following a strict monitoring protocol in order to ensure animal welfare and euthanized with isoflurane (inhalation excess) or by CO2 inhalation. Food and water were ad libitum.
2.3. Bacteria and Bacterial Growth
M. tuberculosis H37Rv and HN878 were grown in Middlebrook 7H9 liquid media (Becton-Dickinson, Sparks, MD, USA) supplemented with 0.05% Tween 80, 0.2% glycerol and 10% oleic acid/albumin/dextrose/catalase (OADC) enrichment for 7–10 days and then sub cultured in Proskauer Beck (PB) medium, supplemented with 0.05% Tween 80 and 2% glycerol, to the mid-log phase. To determine the concentration of M. tuberculosis, 6 frozen aliquots were serial diluted and plated in Middlebrook 7H11 (Becton-Dickinson, Sparks, MD, USA) agar plates supplemented with 10% OADC and 0.5% glycerol. Viable bacteria were determined by CFU enumeration after 21–28 days of incubation at 37 °C.
2.4. M. tuberculosis Infection
Mice were infected with M. tuberculosis H37Rv or HN878 strains via aerosol route using an inhalation exposure system (Glas-Col), following previously published protocols [15]. A murine model of active TB mimicking human TB was used, as described in Kroesen et al. [24]. C3HeB/FeJ mice were challenged with a single i.v. infection (4 × 104–2 × 105 CFU/mL per mouse) with M. tuberculosis H37Rv Pasteur strain. At the experimental time points (15, 30, 60 and 90 days post-infection), the lungs of infected animals were harvested and the bacterial load determined by CFU enumeration, as previously described [15,25,26]. The data is presented in Supplementary Figure S1.
2.5. Tissue Samples and Immunohistochemistry
At the indicated time-points, the lungs of control or infected animals were aseptically excised, fixed in 10% buffered-formalin and paraffin-embedded. Serial consecutive sections of 3 µm-thickness were made and used for immunohistochemical analysis. Lung sections were deparaffinized, rehydrated and the endogenous peroxidase activity was blocked with 3% H2O2 in methanol for 30 min. Then, sections were incubated with normal rabbit serum diluted 1:5 in BSA 10%-PBS for 30 min followed by incubation with primary antibody (see Table 1) diluted in BSA 5%-PBS overnight at 4 °C. Sections were incubated with secondary antibody rabbit anti-mouse (DAKO, Denmark) diluted 1:200 in BSA 5%-PBS at room temperature followed by avidin/biotin complex detection (Vector laboratories, Vectastain, CA, USA). Color reaction was developed for 10 min with 3,3-diamino-benzidine chromogen (DAB, Sigma, St. Louis, MO, USA) activated with 0.02% of H2O2 and counter staining of the nucleus was performed using Mayer’s Haematoxylin, followed by samples dehydration and mounting, as previously described [27].
Table 1.
The intensity of the immunohistochemistry staining was measured using ImageJ image analysis software with the Fiji image-processing package [28]. First, the area of interest was selected for each image and all brown tones were extracted by defining following cut-offs: Hue 1 to 45 and 205 to 255; brightness 0 to 122. Next, the brown saturation was divided in 11 categories, from lowest to highest saturation, and the number of pixels within each category was quantified. This gave rise to an intensity histogram, which was used to calculate the mean brown intensity value for the area of interest of each image. Three images of each animal per time-point were used, and at least five animals of each group were analyzed.
2.6. RNA Extraction, cDNA Synthesis and Real-Time PCR Analysis
At the indicated time-points, the lungs were aseptically excised and cell suspensions prepared as before [25,26]. Total RNA was extracted from lung of C57BL/6 and Gcnt1-/- mouse models, using TRI Reagent (Sigma, St. Louis, MO, USA) and converted to cDNA using the ProtoScript First Strand cDNA Synthesis Kit (E6300S, New England Biolabs, Ipswich, MA, USA). For real-time PCR analysis cDNA samples were amplified with PowerUp SYBRGreen Master Mix (Applied Biosystems, Foster City, CA, USA), using an ABI Prism 7500 Sequence Detection System (Applied Biosystems, CA, USA). Oligonucleotides were selected based on Nairn et al. [18], and their sequences are listed in Table 2. Specificity of amplification was confirmed by melting curve analysis. Standard curves and RQ value were determined for each gene. Ubiquitin was used as a reference gene for normalization of target gene abundance.
Table 2.
Gene | Forward Primer | Reverse Primer |
---|---|---|
Gcnt1 | 5′- CGAAGGCCATGTTTCCAACGG -3′ | 5′- TCCGAAGACGCACACAGAGC -3′ |
Fut4 | 5′- ACCAGGAGGGAGCAGTGACG -3′ | 5′- TCCACACCCACCTCTGCCC -3′ |
Fut7 | 5´- GGACGACTTCAGCTCTGCCC -3′ | 5′- CGCCAAGCAAAGAAGCCACG -3′ |
Fut9 | 5′- TCCCATGCGGTCCTGATTCAC -3′ | 5′- TTCTGAAAGGGTGGCCTGGC -3′ |
Fut10 | 5′- GGGTGTGCAGGACATTAACC -3′ | 5′- AGCCTACTGTTTGCCCACAC -3′ |
Fut11 | 5′- GGGTGCTCAGTGTCTGTTCGG -3′ | 5′- CCCACGGCTCCTCCCTCTC -3′ |
St3gal1 | 5′- TCCTACAACTGCACAGCGTCG -3′ | 5′- TGTTTCGCCTGGTGCCTGG -3′ |
St3gal2 | 5′- GCTCTCTTCGGGTGTGGTTCC -3′ | 5′- ATGCTGTGGTGCGAGTAGGTG -3′ |
St3gal3 | 5′- CAGCAAGAAACCCAGACCAT -3′ | 5′- ATGAATGGCTCCGTCCATAG -3′ |
St3gal4 | 5′- GCTCCTGTGGCTGGCTACG -3′ | 5′- GGGTCAAAGTGGGCCGACTC -3′ |
St3gal5 | 5′- AGCCTCTTGGATATGCTGCCC -3′ | 5′- CGTTCCCAACAACCACACAGC -3′ |
St3gal6 | 5′- ATGGTGGCATTCCCGTAGTA -3′ | 5′- AAGTGCACCTCGCTGGTTT -3′ |
Ubiquitin | 5′- TGGCTATTAATTATTCGGTCTGCA -3′ | 5′- GCAAGTGGCTAGAGTGCAGAGTAA -3′ |
2.7. Statistical Analysis
Data were analyzed using GraphPad Prism 7. Differences between groups were analyzed with One-way ANOVA using Mann-Whitney test for multiple comparisons. Differences were considered significant for p ≤ 0.05 and represented as follows: * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001 and **** p ≤ 0.0001.
3. Results
3.1. M. tuberculosis Infected Lungs Display Increased Sialylation
Lewis antigens are terminally fucosylated carbohydrate structures that decorate glycan chains on lipids or proteins. Although Lewis antigens have been associated with the protective roles of epithelial layers and secreted mucus, they are also recognized as important mediators of pathogen binding and the initiation of infection [31]. Although the expression of these glycan structures was shown to be affected in the context of disease, as in cancer and some infections [3,12], whether terminal Lewis antigens are modulated in TB remains largely unknown. To start unveiling this issue, we assessed using immunohistochemistry the presence of Lewis antigens in the lungs of C57BL/6 mice uninfected or infected via aerosol with two different strains of M. tuberculosis (H37Rv and HN878).
Type 1 Lewis antigens (Lewis B and Sialyl-Lewis A) were not detected in the lungs of non-infected mice, whereas the type 2 Lewis antigens (Lewis X, Lewis Y and SLeX) were present in the apical side of epithelial cells of bronchi and bronchiole (Figure 1A). In particular, SLeX was the most expressed Lewis antigen, with strong apical labelling of most surface epithelial cells and secreted mucus (Figure 1A). To investigate whether M. tuberculosis infection impacted the expression of these terminal structures, we evaluated their expression in lung sections of infected mice. As depicted in Figure 1A, 90 days post-infection there were no visible differences on the expression of the various Lewis antigens, except for SLeX which intensity on positive cells was augmented, particularly evident upon infection with M. tuberculosis HN878 strain.
Thus, we further addressed the dynamics of SLeX expression during the course of infection. This evaluation was performed using the CSLEX-1 antibody. Although we and others have shown that SLeX is expressed in human neutrophils [15], using the CSLEX-1 antibody we could not assess such an expression in the mouse model. This is explained by the fact that the majority of SLeX in mice neutrophils displays an O-acetylated form of sialic acid, which is not recognized by the CSLEX-1 antibody [32,33,34]. Thus, our analysis was focused on the lung epithelium. We observed an increased expression of SLeX antigen over time in the lung epithelia of C57BL/6 mice infected with M. tuberculosis (Figure 1B). Interestingly, this increase was much more evident and significant in the case of infection with the M. tuberculosis strain HN878. In particular, automatic quantification of SLeX staining, showed a significantly increased expression of this glycan at days 30 and 90 post-infection, when compared to non-infected or even the initial time-points of infection (day 15 post-infection) (Figure 1B).
As compared to the M. tuberculosis strain H37Rv, the strain HN878 is known to be hypervirulent [35] and as we have recently described, C57BL/6 mice infected with low doses of H37Rv do not recapitulate features of active TB disease, showing instead a resistance phenotype [36]. Thus, we raised the hypothesis that the upregulation of epithelial SLeX might be associated with disease progression. In support of this hypothesis, we measured the expression of SLeX during infection in a different mouse strain, the susceptible C3HeB/FeJ mice [36,37]. Infection of these animals with the M. tuberculosis H37Rv strain, resulted in an increased expression of SLeX antigens in the lung, which was readily seen at day 30 post-infection (Figure 1C). Overall, we provide evidence for the up-regulation of SLeX antigens in the lung during experimental M. tuberculosis infection, in conditions associated with susceptibility.
3.2. M. tuberculosis Infection Up-Regulates the Transcription of Enzymes Controlling the Biosynthesis of SLeX on Core-2 O-Glycans
Taking into consideration that core-2 O-glycans are major carriers of terminal SLeX antigens and that their biosynthesis is regulated by the coordinated action of several glycosyltransferases [3,4,39], we measured, using real-time PCR, the transcript levels of key enzymes involved in the core-2 O-glycans SLeX antigens biosynthetic pathway (Figure 2A). Given our previous data (Figure 1), we did so in C57BL/6 mice infected with the M. tuberculosis strain HN878. Over the course of infection, we observed a significant upregulation on the transcription of several genes encoding enzymes participating in different steps of SLeX biosynthesis (Figure 2B). This was the case for the core 2 GlcNAcT Gcnt1, the α1,3-fucosyltransferases Fut4, 7, 9 and 11, and the α2,3-sialyltransferases St3Gal1, 2, 4 and 5 (Figure 2B). The transcriptomic analysis of glycosyltransferases on the H37Rv-infected C57BL/6 animals showed that, similar to what was observed on mice infected with HN878 strain, there was an increase on the expression of the α1,3-fucosyltransferases (Fut4, 9, 10 and 11), but no alterations were observed for the other enzymes evaluated (Figure S2). This increased expression in a more restricted number of enzymes could explain the lower amount of SLeX detected on the lung epithelium on these mice, when compared to the mice infected with a more virulent strain (M. tuberculosis HN878) (Figure 1). Our data reveals that the increased SLeX expression observed upon M. tuberculosis infection is accompanied by alterations at transcriptomic level, with up-regulation of enzymes that regulate the terminal SLeX decoration with fucose and sialic acid residues, constituting a specific glycosylation signature. Moreover, we demonstrate that the lung epithelium increase in SLeX is more evident for a hypervirulent strain of M. tuberculosis.
3.3. Lack of Gcnt1 Does not Preclude Increased Lung Sialylation upon M. tuberculosis Infection
We previously showed that mice lacking the GlcNAcT Gcnt1, a key enzyme for the biosynthesis of SLeX on core-2 O-glycans, display increased TB susceptibility and that both the hematopoietic and the stromal compartments contributed to such susceptibility [15]. That, together with our observation that Gcnt1 transcription is upregulated upon infection, led us to question the impact of Gcnt1 deficiency on the expression profile of Lewis antigens in the lung epithelium in naïve or M. tuberculosis infected mice. Naïve Gcnt1-/- animals displayed a pattern of Lewis antigens expression similar to WT C57BL/6, with absence of type 1 Lewis antigens and type 2 antigens detected on the bronchi and bronchiole epithelium (Figure 3A). Also similar to C57BL/6, the Gcnt1-/- showed a more pronounced expression of SLeX as compared to the other Lewis antigens tested (Figure 3A).
Infection of Gcnt1-/- animals with M. tuberculosis strain HN878 resulted on increased SLeX expression on the lung epithelia during the course of infection, as demonstrated by the automatic quantification of staining, which was more pronounced at day 30 and 90 post-infection (Figure 3B). Similar to what was observed for the C57BL/6 animals, M. tuberculosis infection up-regulated the transcriptomic levels of several genes encoding enzymes involved on SLeX biosynthetic pathway on the Gcnt1-/- infected animals (Figure 3C). Except for the Fut4 that was not significantly altered in the Gcnt1 deficient animals, an up-regulation of the α1,3-fucosyltransferases, Fut7, 9, 10 and 11, was observed upon infection by M. tuberculosis, in line with the data obtained for C57BL/6 mice. Regarding the α2,3-sialyltransferases evaluated, we observed augmented transcripts of St3Gal1, 5 and 6 in Gcnt1-/- infected mice corroborating the overall increase in terminal α2,3-sialylation. These data suggest that the remodeling of the lung epithelia sialylated profile upon M. tuberculosis infection does not depend on a competent Gcnt1 enzyme.
4. Discussion
The role of glycans as chief players in defining pathogen tropism and colonization, as well as in numerous aspects of the immune response to infection, has been increasingly recognized over the last two decades [11,12,40,41]. However, the impact of the host glycosylation machinery, as well as its contribution to host susceptibility in TB is just starting to be unveiled [15,42,43]. Taking into consideration recent studies showing that deficiency in specific glycosyltransferases involved in Lewis antigens biosynthesis affect M. tuberculosis infection outcome [15,16,17], we evaluated how the epithelial expression of these terminal glycan epitopes in the lung was impacted by the infection. For this purpose, we started by analyzing the expression of Lewis antigens in the mouse lung epithelium and observed the exclusive detection of type 2 Lewis antigens and a main expression of the sialylated glycan SLeX. This observation is in accordance with previous reports showing predominance of type 2 Lewis structures and the glycosyltransferases involved in their biosynthesis in different mouse organs [18,27,44]. Furthermore, we observed that, similar to the augmented sialylation described to occur in response to infection by several other pathogens, M. tuberculosis infection also resulted in increased levels of SLeX. Interestingly, this increase in SLeX was mostly marked when mice where infected with the hypervirulent strain HN878, in comparison with the laboratory reference strain H37Rv. We have previously shown that SLeX is detected in lung sections of TB patients who were submitted to pulmonary surgery to treat TB [15]. Therefore, our data is in line with recent findings showing that mouse infection with the clinical isolate HN878 recapitulates more closely the pathogenesis of human TB disease, when compared with infection with the laboratory strain H37Rv [36]. In the same line, we found that C3HeB/FeJ mice that display increased susceptibility to M. tuberculosis infection presented marked levels of SLeX in the lung epithelium upon infection.
Cellular glycosylation is a complex process with multiple layers of regulation such as: glycosyltransferase gene transcription, availability of nucleotide sugar donors, relative amounts of enzymes competing for identical substrates, Golgi intracellular enzyme trafficking, and glycan turnover at the cell surface [5,45]. Our results reveal that the augment expression of SLeX in the mouse lung epithelium is accompanied by the transcriptional up-regulation of several glycosyltransferases involved in different enzymatic steps of SLeX biosynthesis. Supporting the differences that we observed regarding SLeX expression when comparing M. tuberculosis strains with different virulence features, experimental infection with M. tuberculosis H37Rv or HN878 also yield different glycosyltransferase transcriptomic signatures. Whereas infection with the HN878 led to significant lung up-regulation of several α2,3-sialyl- and α1,3-fucosyl-transferases, involved in the terminal decoration of SLeX, infection with H37Rv strain displayed fewer significant changes limited to the enzymes involved in the addition of the terminal fucose residues. Noteworthy, comparison of glycosyltransferases expression data in our infected mice with transcriptomic analysis of whole blood from active TB patients [15] reveals a common pattern, with identification of several homologous genes, therefore supporting a common mechanism across species. Furthermore, in line with the up-regulation of SLeX during the course of disease, a recent study showed that urinary levels of sialic acid, the terminal glycan of SLeX structure, discriminate patients with active TB from healthy controls and patients with non-tuberculous pulmonary diseases [46].
Although the molecular signaling pathways leading to up-regulation of glycosyltransferases in response to M. tuberculosis infection remain unknown, augmented epithelial sialylation has been previously associated with infection and inflammation [3,47]. A classic example is the up-regulation of terminal sialylated structures by H. pylori. These bacteria exploit the host glycosylation machinery to induce the expression of its adhesin’s glycan receptors promoting bacterial binding and a successful infection. Remarkably, the tissue expression levels of SLeX are also associated with the H. pylori strain pathogenicity, with more virulent strains promoting increased epithelial levels of this sialylated glycan [12,13]. In the case of H. pylori infection, it is acknowledged that both glycoproteins and glycolipids contribute for gastric glycophenotype switch to negatively charged glycans, such as SLeX. However, the carriers of SLeX in the lung epithelium in the context of M. tuberculosis infection remain elusive. Additionally, several cytokines, such as TNF and IL-1, have been previously shown to transcriptionally upregulate genes encoding glycosyltransferases [48,49].
Recently, we have shown that Gcnt1 deficiency is associated with increased susceptibility to M. tuberculosis infection [15]. The Gcnt1 enzyme belongs to the core-2 GlcNAc transferases family, which are responsible for the initiation of the core-2 extension required for the generation of SLeX core-2 O-glycans. Therefore, we decided to explore firstly if Gcnt1 abrogation would impact Lewis antigen expression in the lung epithelium, and secondly how lack of Gcnt1 would affect the modulation of SLeX expression upon M. tuberculosis infection. We observed that Gcnt1 deficiency did not change the Lewis antigens lung repertoire, and that Gcnt1-/- mice lung epithelium also displayed increased SLeX, supported by up-regulation of terminal α2,3-sialyl- and α1,3-fucosyl-transferases, in response to infection. Given the redundancy in the glycans biosynthetic pathways it is possible that the same enzymatic step may be catalyzed by different enzymes. In mice, two different enzymes Gcnt1 and Gcnt3 share core-2 GlcNAc-transferase activity [18]. To test the hypothesis of a Gcnt3 compensatory activity in Gcnt1 null mice, we evaluated the transcription levels of Gcnt3, upon infection but no significant changes were found when comparing WT and Gcnt1-/- mice (data not shown). Therefore, it is tempting to speculate that the overall increased sialylation of the lung may result from SLeX capping of different glycan carriers in C57BL/6 and Gcnt1-/- mice. From a biochemical perspective, it will be interesting to structurally analyze the glycan composition of the Gcnt1-/- lung to investigate for possible remodeling events. Of note, these remodeling events may involve N-glycans, as well as O-glycans, a hypothesis worth pursuing in the future.
Our findings reveal the modulation of SLeX during M. tuberculosis infection and highlight the significance of glycans and their biosynthetic pathways as possible new targets to modulate inflammation and immune response balance in TB.
Acknowledgments
The authors thank the excellent support from the i3S scientific platforms, namely Animal facility, and Histology and Electron Microscopy—member of the national infrastructure PPBI—Portuguese Platform of Bioimaging (PPBI-POCI-01-0145-FEDER-022122).
Supplementary Materials
The following are available online at https://www.mdpi.com/2076-2607/9/1/99/s1, Figure S1: Lung bacterial burdens obtained for the different experimental infections used in this study, Figure S2: Transcriptomic analysis of glycosyltransferase-encoding genes on C57BL/6 mice infected with H37Rv M. tuberculosis strain.
Author Contributions
Conceptualization, R.M., K.L.F., M.S. and A.M.; methodology and data acquisition, R.M., K.L.F., A.R.M.; automate IHC quantification, S.M.; animal management, J.G.; C3HeB/FeJ experimental model of infection, C.V.; histopathological analysis, F.G.; data integration, R.M., K.L.F., P.N.S.R., C.A.R., M.S. and A.M.; writing—original draft preparation, R.M., K.L.F., M.S. and A.M.; supervision, M.S. and A.M.; funding acquisition and resources, C.A.R., M.S., A.M. All authors have read and agreed to the published version of the manuscript.
Funding
This work was financed by FEDER—Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020—Operacional Programme for Competitiveness and Internationalization (POCI), Portugal 2020, and by Portuguese funds through FCT—Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Inovação in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274) and by grants POCI-01-0145-FEDER-028955 (to MS), POCI-01-0145-FEDER-028489 (to AM), and POCI-01-0145-FEDER-016585 (to CAR). CAR acknowledges the Consortium for Functional Glycomics funded by NIGMS-GM62116. This study was funded by the Spanish Government-FEDER Funds through CP13/00174, CPII18/00031 and PI16/01511 grants, and the CIBER Enfermedades Respiratorias Network; and by the Spanish Society of Pneumology and Thoracic Surgery (SEPAR) through grant 16/023. KLF and RM are funded by FCT PhD scholarships SFRH/BD/114405/2016 and SFRH/BD/131159/2017, respectively; MS is funded by FCT through Estímulo Individual ao Emprego Científico. The APC was funded by FCT (POCI-01-0145-FEDER-028489).
Institutional Review Board Statement
All animal experiments were performed in accordance with recommendations of the European Union Directive 2010/63/EU, and were approved by the i3S Animal Ethics Committee and the Portuguese National Authority for Animal Health (# 014811/2016-07-13) or by the Animal Experimentation Ethics Committee of the Hospital Universitari Germans Trias i Pujol (#B9900005) and the Dept d’Agricultura, Ramaderia, Pesca, Alimentació i Medi Natural of the Catalan Government.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study is contained within this article or supplementary material.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Cummings R.D. Stuck on sugars-how carbohydrates regulate cell adhesion, recognition, and signaling. Glycoconj. J. 2019;36:241–257. doi: 10.1007/s10719-019-09876-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mereiter S., Balmana M., Campos D., Gomes J., Reis C.A. Glycosylation in the Era of Cancer-Targeted Therapy: Where Are We Heading? Cancer Cell. 2019;36:6–16. doi: 10.1016/j.ccell.2019.06.006. [DOI] [PubMed] [Google Scholar]
- 3.Pinho S.S., Reis C.A. Glycosylation in cancer: Mechanisms and clinical implications. Nat. Rev. Cancer. 2015;15:540–555. doi: 10.1038/nrc3982. [DOI] [PubMed] [Google Scholar]
- 4.Moremen K.W., Tiemeyer M., Nairn A.V. Vertebrate protein glycosylation: Diversity, synthesis and function. Nat. Rev. Mol. Cell Biol. 2012;13:448–462. doi: 10.1038/nrm3383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Schjoldager K.T., Narimatsu Y., Joshi H.J., Clausen H. Global view of human protein glycosylation pathways and functions. Nat. Rev. Mol. Cell Biol. 2020 doi: 10.1038/s41580-020-00294-x. [DOI] [PubMed] [Google Scholar]
- 6.Lubbers J., Rodriguez E., van Kooyk Y. Modulation of Immune Tolerance via Siglec-Sialic Acid Interactions. Front. Immunol. 2018;9:2807. doi: 10.3389/fimmu.2018.02807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pereira M.S., Alves I., Vicente M., Campar A., Silva M.C., Padrao N.A., Pinto V., Fernandes A., Dias A.M., Pinho S.S. Glycans as Key Checkp. of T Cell Activity and Function. Front. Immunol. 2018;9:2754. doi: 10.3389/fimmu.2018.02754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rabinovich G.A., van Kooyk Y., Cobb B.A. Glycobiology of immune responses. Ann. N. Y. Acad. Sci. 2012;1253:1–15. doi: 10.1111/j.1749-6632.2012.06492.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sophie Groux-Degroote S.C., Uchimura K., Allain F., Delannoy P. Chapter Four-Glycosylation changes in inflammatory diseases. In: Donev R., editor. Advances in Protein Chemistry and Structural Biology. Volume 119. Elsevier Academic Press; Cambridge, MA, USA: 2020. pp. 111–156. [DOI] [PubMed] [Google Scholar]
- 10.Kreisman L.S., Cobb B.A. Infection, inflammation and host carbohydrates: A Glyco-Evasion Hypothesis. Glycobiology. 2012;22:1019–1030. doi: 10.1093/glycob/cws070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Poole J., Day C.J., von Itzstein M., Paton J.C., Jennings M.P. Glycointeractions in bacterial pathogenesis. Nat. Rev. Microbiol. 2018;16:440–452. doi: 10.1038/s41579-018-0007-2. [DOI] [PubMed] [Google Scholar]
- 12.Magalhaes A., Marcos-Pinto R., Nairn A.V., Dela Rosa M., Ferreira R.M., Junqueira-Neto S., Freitas D., Gomes J., Oliveira P., Santos M.R., et al. Helicobacter pylori chronic infection and mucosal inflammation switches the human gastric glycosylation pathways. Biochim. Biophys. Acta. 2015;1852:1928–1939. doi: 10.1016/j.bbadis.2015.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Marcos N.T., Magalhaes A., Ferreira B., Oliveira M.J., Carvalho A.S., Mendes N., Gilmartin T., Head S.R., Figueiredo C., David L., et al. Helicobacter pylori induces beta3GnT5 in human gastric cell lines, modulating expression of the SabA ligand sialyl-Lewis x. J. Clin. Investig. 2008;118:2325–2336. doi: 10.1172/JCI34324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Harding E. WHO global progress report on tuberculosis elimination. Lancet Respir. Med. 2020;8:19. doi: 10.1016/S2213-2600(19)30418-7. [DOI] [PubMed] [Google Scholar]
- 15.Fonseca K.L., Maceiras A.R., Matos R., Simoes-Costa L., Sousa J., Ca B., Barros L., Fernandes A.I., Mereiter S., Reis R., et al. Deficiency in the glycosyltransferase Gcnt1 increases susceptibility to tuberculosis through a mechanism involving neutrophils. Mucosal. Immunol. 2020;13:836–848. doi: 10.1038/s41385-020-0277-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ehlers S., Schreiber T., Dunzendorfer A., Lowe J.B., Holscher C. Fucosyltransferase IV and VII-directed selectin ligand function determines long-term survival in experimental tuberculosis. Immunobiology. 2009;214:674–682. doi: 10.1016/j.imbio.2008.12.009. [DOI] [PubMed] [Google Scholar]
- 17.Schreiber T., Ehlers S., Aly S., Holscher A., Hartmann S., Lipp M., Lowe J.B., Holscher C. Selectin ligand-independent priming and maintenance of T cell immunity during airborne tuberculosis. J. Immunol. 2006;176:1131–1140. doi: 10.4049/jimmunol.176.2.1131. [DOI] [PubMed] [Google Scholar]
- 18.Nairn A.V., Aoki K., dela Rosa M., Porterfield M., Lim J.M., Kulik M., Pierce J.M., Wells L., Dalton S., Tiemeyer M., et al. Regulation of glycan structures in murine embryonic stem cells: Combined transcript profiling of glycan-related genes and glycan structural analysis. J. Biol. Chem. 2012;287:37835–37856. doi: 10.1074/jbc.M112.405233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Delannoy C., Huang C., Coddeville B., Chen J.Y., Mouajjah D., Groux-Degroote S., Harduin-Lepers A., Khoo K.H., Guerardel Y., Elass-Rochard E. Mycobacterium bovis BCG infection alters the macrophage N-glycome. Mol. Omics. 2020;16:345–354. doi: 10.1039/C9MO00173E. [DOI] [PubMed] [Google Scholar]
- 20.Magalhaes A., Reis C.A. Glycosignals in Cancer: Mechanims of Malignat Phenotypes. Springer; Berlin, Germany: 2016. Glycosyltransferases and Gastric Cancer. [Google Scholar]
- 21.Delmotte P., Degroote S., Lafitte J.J., Lamblin G., Perini J.M., Roussel P. Tumor necrosis factor alpha increases the expression of glycosyltransferases and sulfotransferases responsible for the biosynthesis of sialylated and/or sulfated Lewis x epitopes in the human bronchial mucosa. J. Biol. Chem. 2002;277:424–431. doi: 10.1074/jbc.M109958200. [DOI] [PubMed] [Google Scholar]
- 22.Mahdavi J., Sonden B., Hurtig M., Olfat F.O., Forsberg L., Roche N., Angstrom J., Larsson T., Teneberg S., Karlsson K.A., et al. Helicobacter pylori SabA adhesin in persistent infection and chronic inflammation. Science. 2002;297:573–578. doi: 10.1126/science.1069076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ellies L.G., Tsuboi S., Petryniak B., Lowe J.B., Fukuda M., Marth J.D. Core 2 oligosaccharide biosynthesis distinguishes between selectin ligands essential for leukocyte homing and inflammation. Immunity. 1998;9:881–890. doi: 10.1016/S1074-7613(00)80653-6. [DOI] [PubMed] [Google Scholar]
- 24.Kroesen V.M., Rodriguez-Martinez P., Garcia E., Rosales Y., Diaz J., Martin-Cespedes M., Tapia G., Sarrias M.R., Cardona P.J., Vilaplana C. A Beneficial Effect of Low-Dose Aspirin in a Murine Model of Active Tuberculosis. Front. Immunol. 2018;9:798. doi: 10.3389/fimmu.2018.00798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bhatt K., Machado H., Osório N.S., Sousa J., Cardoso F., Magalhães C., Chen B., Chen M., Kim J., Ferreira C.M., et al. A Nonribosomal Peptide Synthase gen Driving Virulence in Mycobacterium tuberculosis. mSphere. 2018;3:e00352-18. doi: 10.1128/mSphere.00352-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Moreira-Teixeira L., Sousa J., McNab F.W., Torrado E., Cardoso F., Machado H., Castro F., Cardoso V., Gaifem J., Wu X., et al. Type I IFN Inhibits Alternative Macrophage Activation during Mycobacterium tuberculosis Infection and Leads to Enhanced Protection in the Absence of IFN-gamma Signaling. J. Immunol. 2016;197:4714–4726. doi: 10.4049/jimmunol.1600584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Magalhaes A., Gomes J., Ismail M.N., Haslam S.M., Mendes N., Osorio H., David L., Le Pendu J., Haas R., Dell A., et al. Fut2-null mice display an altered glycosylation profile and impaired BabA-mediated Helicobacter pylori adhesion to gastric mucosa. Glycobiology. 2009;19:1525–1536. doi: 10.1093/glycob/cwp131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. Fiji: An open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Fukushi Y., Hakomori S., Nudelman E., Cochran N. Novel Fucolipids Accumulating in Human Adenocarcinoma. J. Biol. Chem. 1984;259:4681–4685. [PubMed] [Google Scholar]
- 30.Abe K., McKibbin J.M., Hakomori S. The Monoclonal Antibody Directed to Difucosylated Type 2 Chain (Fucα1-2Galβ1-4[Fucα1-3]GlcNAc; Y Determinant) J. Biol. Chem. 1993;238:11793–11797. [PubMed] [Google Scholar]
- 31.Morozov V., Borkowski J., Hanisch F.G. The Double Face of Mucin-Type O-Glycans in Lectin-Mediated Infection and Immunity. Molecules. 2018;23:1151. doi: 10.3390/molecules23051151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Fukushima K., Hirota M., Terasaki P.I., Wasisaka A., Togashi H., Chia D., Suyama N., Fukushi Y., Nudelman E., Hakomorf S. Characterization of Sialosylated Lewis X as a new tumor-associated antigen. Cancer Res. 1984;44:5279–528528. [PubMed] [Google Scholar]
- 33.Matsumura R., Hirakawa J., Sato K., Ikeda T., Nagai M., Fukuda M., Imai Y., Kawashima H. Novel Antibodies Reactive with Sialyl Lewis X in Both Humans and Mice Define Its Critical Role in Leukocyte Trafficking and Contact Hypersensitivity Responses. J. Biol. Chem. 2015;290:15313–15326. doi: 10.1074/jbc.M115.650051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Mitoma J., Miyazaki T., Sutton-Smith M., Suzuki M., Saito H., Yeh J.C., Kawano T., Hindsgaul O., Seeberger P.H., Panico M., et al. The N-glycolyl form of mouse sialyl Lewis X is recognized by selectins but not by HECA-452 and FH6 antibodies that were raised against human cells. Glycoconj. J. 2009;26:511–523. doi: 10.1007/s10719-008-9207-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Manca C., Tsenova L., Freeman S., Barczak A.K., Tovey M., Murray P.J., BarryIII C., Kaplan G. Hypervirulent M. tuberculosis W/Beijing Strains Upregulate Type I IFNs and Increase Expression of Negative Regulators of the Jak-Stat Pathway. J. Interferon Cytokine Res. 2005;25:694–701. doi: 10.1089/jir.2005.25.694. [DOI] [PubMed] [Google Scholar]
- 36.Moreira-Teixeira L., Tabone O., Graham C.M., Singhania A., Stavropoulos E., Redford P.S., Chakravarty P., Priestnall S.L., Suarez-Bonnet A., Herbert E., et al. Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis. Nat. Immunol. 2020;21:464–476. doi: 10.1038/s41590-020-0610-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Harper J., Skerry C., Davis S.L., Tasneen R., Weir M., Kramnik I., Bishai W.R., Pomper M.G., Nuermberger E.L., Jain S.K. Mouse model of necrotic tuberculosis granulomas develops hypoxic lesions. J. Infect. Dis. 2012;205:595–602. doi: 10.1093/infdis/jir786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Neelamegham S., Aoki-Kinoshita K., Bolton E., Frank M., Lisacek F., Lutteke T., O’Boyle N., Packer N.H., Stanley P., Toukach P., et al. Updates to the Symbol Nomenclature for Glycans guidelines. Glycobiology. 2019;29:620–624. doi: 10.1093/glycob/cwz045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sperandio M., Gleissner C.A., Ley K. Glycosylation in immune cell trafficking. Immunol. Rev. 2009;230:97–113. doi: 10.1111/j.1600-065X.2009.00795.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Johnson J.L., Jones M.B., Ryan S.O., Cobb B.A. The regulatory power of glycans and their binding partners in immunity. Trends Immunol. 2013;34:290–298. doi: 10.1016/j.it.2013.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.van Kooyk Y., Rabinovich G.A. Protein-glycan interactions in the control of innate and adaptive immune responses. Nat. Immunol. 2008;9:593–601. doi: 10.1038/ni.f.203. [DOI] [PubMed] [Google Scholar]
- 42.Kumagai T., Palacios A., Casadevall A., Garcia M.J., Toro C., Tiemeyer M., Prados-Rosales R. Serum IgM Glycosylation Associated with Tuberculosis Infection in Mice. mSphere. 2019;4:e00684-18. doi: 10.1128/mSphere.00684-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lu L.L., Das J., Grace P.S., Fortune S.M., Restrepo B.I., Alter G. Antibody Fc Glycosylation Discriminates between Latent and Active Tuberculosis. J. Infect. Dis. 2020 doi: 10.1093/infdis/jiz643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ismail M.N., Stone E.L., Panico M., Lee S.H., Luu Y., Ramirez K., Ho S.B., Fukuda M., Marth J.D., Haslam S.M., et al. High-sensitivity O-glycomic analysis of mice deficient in core 2 {beta}1,6-N-acetylglucosaminyltransferases. Glycobiology. 2011;21:82–98. doi: 10.1093/glycob/cwq134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ohtsubo K., Marth J.D. Glycosylation in cellular mechanisms of health and disease. Cell. 2006;126:855–867. doi: 10.1016/j.cell.2006.08.019. [DOI] [PubMed] [Google Scholar]
- 46.Isa F., Collins S., Lee M.H., Decome D., Dorvil N., Joseph P., Smith L., Salerno S., Wells M.T., Fischer S., et al. Mass Spectrometric Identification of Urinary Biomarkers of Pulmonary Tuberculosis. EBioMedicine. 2018;31:157–165. doi: 10.1016/j.ebiom.2018.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Magnani J.L. The discovery, biology, and drug development of sialyl Lea and sialyl Lex. Arch. Biochem. Biophys. 2004;426:122–131. doi: 10.1016/j.abb.2004.04.008. [DOI] [PubMed] [Google Scholar]
- 48.Colomb F., Krzewinski-Recchi M.A., Steenackers A., Vincent A., Harduin-Lepers A., Delannoy P., Groux-Degroote S. TNF up-regulates ST3GAL4 and sialyl-Lewisx expression in lung epithelial cells through an intronic ATF2-responsive element. Biochem. J. 2017;474:65–78. doi: 10.1042/BCJ20160602. [DOI] [PubMed] [Google Scholar]
- 49.Schroeter M.F., Ratsch B.A., Lehmann J., Baumgrass R., Hamann A., Syrbe U. Differential regulation and impact of fucosyltransferase VII and core 2 beta1,6-N-acetyl-glycosaminyltransferase for generation of E-selectin and P-selectin ligands in murine CD4+ T cells. Immunology. 2012;137:294–304. doi: 10.1111/imm.12011. [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
Data Availability Statement
The data presented in this study is contained within this article or supplementary material.