Abstract
Modulation of immunity and disease by glycans is increasingly recognized. However, how host glycosylation shapes and is shaped by tuberculosis remains poorly understood. We show that deficiency in the glucosaminyl (N-acetyl) transferase 1 (Gcnt1), a key enzyme for core-2 O-glycans biosynthesis, drives susceptibility to Mycobacterium tuberculosis infection. The increased susceptibility of Gcnt1 deficient mice was characterized by extensive lung immune pathology, mechanistically related to neutrophils. Uninfected Gcnt1 deficient mice presented bone marrow, blood and lung neutrophilia, which further increased with infection. Blood neutrophilia required Gcnt1 deficiency in the hematopoietic compartment, relating with enhanced granulopoiesis, but normal cellular egress from the bone marrow. Interestingly, for the blood neutrophilia to translate into susceptibility to M. tuberculosis infection, Gnct1 deficiency in the stroma was also necessary. Complete Gcnt1 deficiency associated with increased lung expression of the neutrophil chemoattractant CXCL2. Lastly, we demonstrate that the transcript levels of various glycosyltransferase-encoding genes were altered in whole blood of active tuberculosis patients and that sialyl Lewis x, a glycan widely present in human neutrophils, was detected in the lung of tuberculosis patients. Our findings reveal a previously unappreciated link between Gcnt1, neutrophilia and susceptibility to M. tuberculosis infection, uncovering new players balancing the immune response in tuberculosis.
Introduction
The host immune system has evolved to respond to infection whilst avoiding tissue damage. Deregulation of protective immune responses to Mycobacterium tuberculosis (Mtb) often associates with tissue pathology.1 For example, an inadequate recruitment of neutrophils to Mtb-infected lungs may cause severe tissue damage. Exacerbated neutrophilia is thus linked with increased severity of infection in mouse2,3 and man.4 Understanding the factors that control or disrupt protective immune networks during tuberculosis (TB) is therefore paramount for the design of more efficient strategies and to inform on potential TB-associated side effects of immune therapies to other diseases.
The importance of glycosylation in innate and acquired immune responses is emerging.5 Glycosylation regulates leukocyte recruitment from the vasculature to most tissues, through the modulation of interactions between endothelial selectins and their ligands in leukocytes.6,7 Deficiency in several glycosyltransferases involved in the biosynthesis of functional selectin ligands, as Galnt1, Gcnt1, B4galt1, Fut4, Fut7 and St3gal4, results in defective leukocyte recruitment7–9 and in homeostatic alterations, namely pronounced blood neutrophilia.10,11 Selectin ligands are commonly decorated with O-glycans bearing a terminal sialyl Lewis x (sLex) (sialic acid α2,3Galβ1–4 (Fucα1,3) GlcNAc-R) epitope.6 Extensive O-glycosylation is also characteristic of transmembrane or secreted gel-forming mucins,12 important components of the lung mucus. Mucins play key functions as surface receptors for the binding of several adhesion molecules, mediators of the interaction with pathogens, and local modulators of inflammatory responses.13,14 Pathogens, as Helicobacter pylori, may modulate the expression, turnover and glycosylation of host mucins.15–18 How O-glycosylation contributes to host protection in TB is largely unknown. Deficiency in the α1,3-fucosyltransferase Fut7 or Fut4/Fut7 double deficiency impaired T cell homing to the lymph nodes during Mtb experimental infection, but the traffic of effector T cells to the lung was normal.19 Both Fut7 deficient (−/−) and Fut4−/−/Fut7−/− mice were initially shown to resist normally to low dose aerosol infection,19 but a shorter survival of these mice upon infection was reported in a later study.20
Here, we reveal that core-2 GlcNAc transferase Gcnt1 deficient (Gcnt1−/−) mice11 display increased susceptibility to Mtb infection, mechanistically mediated by neutrophils and by Gcnt1 activity in stromal and hematopoietic compartments. Furthermore, we report for the first time altered expression of glycosyltransferases associated with sLex core-2 O-glycan biosynthetic pathway in whole blood of TB patients. Our findings support the modulation of O-glycosylation during Mtb infection, showing that alterations in this pathway compromise the ability of the host to deal with infection in the most competent way.
Results
Deficiency in Gcnt1 is associated with higher susceptibility to Mtb infection
Studies with Fut4−/− and Fut7−/− hinted at a possible role for the host glycosylation machinery in TB.19,20 As Fut4 and Fut7 catalyse the terminal decoration of glycans, we reasoned that studying the impact of an earlier step of glycan biosynthesis would better reveal its biological effect during Mtb infection. Thus, we used mice lacking Gcnt1, a key enzyme for the biosynthesis of core-2 O-glycans.11 C57BL/6 and Gcnt1−/− mice were infected via aerosol with Mtb strain HN878. Upon a low dose infection, 18.7% of Gcnt1−/− mice succumbed around 30 days post-infection, whereas, as expected, all C57BL/6 mice survived (Fig. 1a). Strikingly, all Gcnt1−/− mice infected with high doses of Mtb succumbed within 40 days, while 90% of C57BL/6 mice survived throughout the 60 days of the experiment (Fig. 1b). Gcnt1−/− mice, which survived the low dose of infection, showed a higher lung bacterial burden than C57BL/6, particularly on day 60 post-infection (Fig. 1c). No significant differences in bacterial burdens of C57BL/6 or Gcnt1−/− mice infected with high doses of Mtb for 27 days were observed (Fig. 1d), despite the different survival rates.
The percentage of lung lesion was quantified to measure lung pathology (Fig. S1A, B). As compared to C57BL/6, Gcnt1−/− mice infected with low doses of Mtb showed increased lung pathology, which was mostly pronounced on day 60 post-infection with increased scores for perivascular and peribronchial lymphocytes (Table 1, Fig. 1e and Fig. S1C). The extent of lung lesion was particularly high for the Gcnt1−/− mice, which succumbed to infection (Fig. 1e, Fig. S1D). Lung histopathologic analysis of the infected mice revealed an overall exacerbation of pathologic features in Gcnt1−/− mice, with the moribund mice presenting severe inflammation, pronounced necrosis and calcification (Table 1, Fig. 1e–g). In infections with high doses of bacteria, a higher frequency of infected Gcnt1−/− mice showed more than 50% of lung infiltrates as compared to C57BL/6, although globally no significant differences in relative lesion burden were noted (Fig. 1h). The histopathological features observed during infection with low doses of Mtb were recapitulated and exacerbated for those with high doses, with infected Gcnt1-/- mice presenting extensive lung pathology, particularly extensive necrosis, and histological features of bronchopneumonia (Table 1, Fig. 1i, g and Fig. S1E).
Table 1.
Low dose | High dose | |||||||
---|---|---|---|---|---|---|---|---|
day 30 | day 60 | Moribund Gcnt1−/− (3) | day 27 | |||||
Score | B6 (12) | Gcnt1−/− (13) | B6 (7) | Gcnt1−/− (6) | B6 (7) | Gcnt1−/− (10) | ||
Perivascular lymphocytes | 0 | |||||||
1 | 8.30 | |||||||
2 | 91.7 | 23.1 | 28.6 | 50.0 | 28.6 | 16.7 | ||
3 | 76.9 | 71.4 | 100 | 50.0 | 71.4 | 83.3 | ||
Peribronchiolar lymphocytes | 0 | |||||||
1 | 44.4 | 55.6 | 57.1 | 33.3 | 14.3 | |||
2 | 55.6 | 33.3 | 42.9 | 50 | 50.0 | 42.9 | 66.7 | |
3 | 11.1 | 16.7 | 50.0 | 42.9 | 33.3 | |||
Bronchiolar debris | 0 | 70.0 | 66.7 | 42.9 | 50 | 14.3 | ||
1 | 30.0 | 22.2 | 57.1 | 33.3 | 57.1 | 10.0 | ||
2 | 11.1 | 16.7 | 66.7 | 14.3 | 20.0 | |||
3 | 33.3 | 14.3 | 70.0 | |||||
Intra-alveolar necrotic debris | 0 | |||||||
1 | 16.7 | 46.2 | 57.1 | 16.7 | 33.3 | |||
2 | 66.7 | 30.8 | 14.3 | 50 | 66.7 | 28.6 | ||
3 | 16.7 | 23.1 | 28.6 | 33.3 | 71.4 | 100 | ||
Necrosis | 0 | 100 | 92.3 | 100 | 100 | 42.9 | ||
1 | 28.6 | 10.0 | ||||||
2 | 7.70 | 28.6 | 10.0 | |||||
3 | 100 | 20.0 | ||||||
4 | 60.0 |
Lung H&E sections of C57BL/6 (B6) or Gcnt1−/− infected animals were assessed and scored for the indicated histopathological features. Indicated is the % of animals with a certain score within the indicated experimental group. Indicated in brackets is the number of animals analysed per group.
Neutrophils drive the increased susceptibility of Gcnt1−/− mice to Mtb infection
To investigate the mechanisms underlying the increased susceptibility of Gcnt1−/− mice to Mtb, we compared the dynamics of the immune response in C57BL/6 or Gcnt1−/− mice during infection with low or high doses of bacteria. No significant differences were noted in the dynamics or levels of expression of genes encoding key inflammatory mediators for the immune response against Mtb infection with low doses (Fig. 2a). Similarly, no differences were found between non-infected Gcnt1−/− or C57BL/6 mice (Fig. 2a). Upon infection with high doses of Mtb, we noted an overall higher expression of cytokines in Gcnt1−/− animals, as compared to C57BL/6 ones (Fig. 2b). In all, the lung pathology observed in infected Gcnt1−/− mice does not seem to result from an uncontrolled cytokine storm.
The dynamics of recruitment of myeloid and lymphoid cells to the lung was identical in Gcnt1−/− and C57BL/6 mice infected with a low dose of bacteria, but 30 days after infection all tested immune cell populations were significantly higher in the lung of Gcnt1−/− as compared to C57BL/6 mice (Fig. 2c and Fig. S2A, B). Moreover, increased numbers of lung neutrophils were detected in Gcnt1−/− mice, independently of the infection (Fig. 2c). Because lung infiltrating neutrophils have been associated with increased bacterial burdens, pathology and TB exacerbation,1–4 we assessed the contribution of neutrophils to the increased susceptibility of Gcnt1−/−. For that, we investigated the distribution of neutrophils in the lungs of C57BL/6 or Gcnt1−/− mice infected with low or high doses of bacteria, through detection of myeloperoxidase (MPO) expression by immunostaining. Although neutrophils were present in both mouse strains upon infection, these cells accumulated in the case of infected Gcnt1−/− mice (Fig. 2d), in line with the cytometry data. An accumulation of neutrophils in the areas of lesion was particularly observed in infections with high doses of Mtb, being more exacerbated in Gcnt1−/− mice (Fig. 2d). A similar accumulation was found in the necrotic lesions of moribund Gcnt1−/− mice infected with low doses of bacteria (Fig. S2C). Moreover, and in line with the higher presence of neutrophils in the lungs of Gcnt1−/− mice infected with high doses of Mtb, the expression levels of genes previously associated with a neutrophil-dominated transcriptional module21 were increased in these animals, as compared to C57BL/6 ones (Fig. 2e). We next treated Mtb-infected Gcnt1−/− mice with a neutrophil-depleting antibody22 or with an isotype control (Fig. S2D). To assess mouse survival as the readout of this experiment, a high dose of infection was performed. Whereas 80% (n = 4) of isotype control-treated Gcnt1−/− mice died between 25–35 days post-infection, only 20% (n = 1) of those treated with the Ly6G depleting antibody did not survive and all C57BL/6 mice survived infection (Fig. 2f). Therefore, depleting neutrophils largely rescued the increased susceptibility of Gcnt1−/− mice to Mtb infection. Finally, we compared the response of neutrophils isolated from mice of either genetic background to in vitro Mtb infection. Although no statistically significant differences were found, we noted an overall enhanced cytokine expression by Gcnt1−/− neutrophils upon Mtb infection (Fig. S2E), but similar production of reactive oxygen and nitrite species (Fig. S2F). In all, these findings suggest that Gcnt1 abrogation did not alter the basic functional response of neutrophils to Mtb.
Gcnt1 activity modulates granulopoiesis and lung neutrophil recruitment
We next investigated the causes underlying Gcnt1−/− mice neutrophilia. Blood neutrophilia was reported for healthy Gcnt1−/− mice.11 We here confirmed this finding and further showed its maintenance throughout infection (Fig. S3A,B). To test whether lack of Gcnt1 may favour granulopoiesis, we analysed the frequency of Lin−Sca1+cKit+ cells (LSK), common myeloid precursors (CMP), granulocytic-monocytic precursors (GMP) and mature cell populations in the bone marrow (BM) of C57BL/6 or Gcnt1−/− mice (Fig. S3C,D). No differences were seen in the frequencies of LSK and CMP progenitor cell populations, but an increased frequency of GMPs was noted (Fig. 3a). In line with this increase in GMP, the frequencies of neutrophils and monocytes were higher in the BM of Gcnt1−/− mice (Fig. 3b). As for lymphoid populations, a decreased frequency of B cells and a similar frequency of T cells were observed in Gcnt1−/− BM, as compared with C57BL/6 ones (Fig. S3E). Thus, the BM and blood neutrophilia observed in Gcnt1−/− mice may at least in part result from enhanced BM granulopoiesis.
We next investigated the impact of Gcnt1 deficiency on the mobilization of the neutrophils between BM and blood. As CXCR4 is a key regulator of neutrophil retention versus egress from the BM,23,24 we compared the expression of this receptor in BM neutrophils of each mouse strain. The levels of CXCR4 expressed in BM neutrophils were comparable in C57BL/6 and Gcnt1−/− mice (Fig. 3c). Furthermore, to investigate for differences in the egress of neutrophils from the BM in Gcnt1−/− mice, we intravenously injected an antibody directed to CD45 and assessed the percentage of CD45+ BM sinusoidal cells in either mouse strain. No differences were found in the frequency of CD45 labelled neutrophils, B cells and T cells when comparing the two mouse strains (Fig. 3d). Together, these data suggest that Gcnt1 deficiency does not alter the hematopoietic cell retention in the BM or egress from the BM to the blood.
We then sought to understand the cause for increased lung neutrophil frequencies in Gcnt1−/− mice. We started by testing the permeability of the lung vasculature by measuring the influx of Evans blue injected intravenously. Abrogation of Gcnt1 did not impact the diffusion of dye into the lung (Fig. 3e), indicating a similar permeability of the lung vasculature in Gcnt1− and C57BL/6 mice. Next, we questioned whether the lung neutrophilia of Gcnt1−/− mice depended on altered neutrophil chemoattraction. For this, we measured the expression levels of lung Cxcl1, Cxcl2 and Cxcl5 during infection with low or high doses of Mtb (Fig. 3f). Although the transcription of these chemokines in lungs of C57BL/6 or Gcnt1−/− mice was similar upon a low dose of infection, the expression of Cxcl2 was higher in Gcnt1−/− deficient mice than in C57BL/6 upon a high dose of infection (Fig. 3f). Finally, we tested the ability of neutrophils from either genetic background to migrate in response to each of these chemokines, using an in vitro trans-well system. Independently of the expression of Gcnt1, the migration of neutrophils towards CXCL1, CXCL2 or CXCL5 was dose dependent and similar (Fig. 3g). Collectively, these findings support a higher availability of neutrophils in the absence of Gcnt1, accompanied by an increased recruitment of neutrophils to the lung of Gcnt1−/−-infected mice, possibly mediated by the higher expression of CXCL2.
Increased susceptibility to Mtb infection requires Gcnt1 deficiency in both hematopoietic and non-hematopoietic compartments
To investigate if the susceptibility of Gcnt1−/− mice to Mtb infection was fully dependent on the hematopoietic compartment, we resorted to a mouse BM transplantation model (Fig. 4a and Fig. S4A). When comparing all experimental groups, we observed that both the Gcnt1−/−→C57BL/6 and the Gcnt1−/−→Gcnt1−/− chimeric animals presented significantly higher neutrophils in circulation upon reconstitution and before infection (Fig. 4b), suggesting that hematopoietic deficiency of Gcnt1 is sufficient to promote neutrophilia. Chimeric mice were then infected with a low dose of Mtb. Mice in the Gcnt1−/−→Gcnt1−/− group presented a different survival curve compared to all other groups, where one animal (representing 14.3%) succumbed to infection after 24 days (Fig. 4c), and also higher lung bacterial burdens 30 days post-infection than any other group (Fig. 4d), paralleling the increased susceptibility to infection of Gcnt1−/− mice. Histopathological analysis of the infected chimeric animals showed that although Gcnt1−/−→C57BL/6 mice presented edema and larger necrotic areas when compared to the C57BL/6→C57BL/6 group, Gcnt1−/−→Gcnt1−/− animals presented the most exuberant pathology with severe inflammation, edema, vast necrosis and bronchopneumonia (Fig. 4e and Fig. S4B). Lung flow cytometry analysis of the infected chimeric mice revealed an overall higher frequency of neutrophils in the lungs of Gcnt1−/−→Gcnt1−/− chimeric mice (Fig. 4f) and similar frequencies of all other cell populations (Fig. S4C). Interestingly, in line with what we had observed in Gcnt1−/− infected mice, the expression of Cxcl2 upon infection was exclusively increased in Gcnt1−/−→Gcnt1−/− chimeric mice (Fig. 4g).
Thus, although Gcnt1 deficiency in the hematopoietic compartment is sufficient to deregulate blood neutrophil frequencies in homeostasis, for that to translate into different susceptibilities to Mtb infection, deficiency of Gcnt1 in the stromal compartment is also required.
Mtb infection modulates the host glycosylation machinery at the gene transcription level
Our findings highlight the importance of a competent core 2 O-glycan pathway in regulating neutrophils and immune pathology during TB. Core-2 O-glycans are major carriers of terminal Lewis antigens and, among these, sLex is described to decorate the surface of human neutrophils (Fig. 5a). Because a neutrophil-driven signature was observed in the whole blood of TB patients,25 and since our data link Gcnt1 activity with TB susceptibility through a mechanism involving neutrophils, we next interrogated available human whole blood TB RNA-Seq datasets26 for transcriptional alterations in glycosyltransferase-encoding genes (Table S1). Several glycosyltransferase-encoding genes were significantly up- or downregulated in active TB patients as compared to control or latently infected individuals (Fig. 5b). In particular, significant alterations in genes encoding enzymes of the sLex biosynthetic pathway were detected (Fig. 5b). Importantly, a much lower level of variation was observed when latent and controls were compared (Fig. 5b), thus showing that TB disease impacts the glycosyltransferase transcriptomic signature. Lastly, we examined lungs of TB patients for the presence of sLex antigens. TB patients (Table 2) were enrolled in a study in Georgia and underwent lung surgery as a therapeutic option, after antibiotherapy failure.27 Independently of the patient’s gender and Mtb drug susceptibility profile, lung sLex expression was detected in epithelial and immune cells (Fig. 5c and Fig. S5).
Table 2.
Patient | Gender | Lesion localizationa | Lesion size (mm) | TB symptoms | Drug sensitivity profileb |
---|---|---|---|---|---|
1 | Male | RUL | 21, 30 | Yes | DS |
2 | Male | RUL | 35 | Yes | DS |
3 | Female | LLL | 30 | No | MDR |
4 | Female | LLL | 30 | No | DS |
5 | Female | RUL | 30 | No | DS |
6 | Female | RLL | 42 | No | MDR |
7 | Male | RUL | 30, 21 | No | MDR |
8 | Female | LUL | 40 | No | DS |
9 | Male | LUL | 38 | No | MDR |
10 | Male | LUL | 29 | No | MDR |
All patients were antibiotic-treated before surgery. Highlighted in grey are the patients represented in Fig. 5.
RUL right upper lobe, LLL left lower lobe, RLL right lower lobe, LUL left upper lobe, DS drug sensitive, MDR multi-drug resistant.
Altogether, we provide, for the first time, evidence for the modulation of core 2-sLex antigens during human TB, through the transcriptional regulation of various glycosyltransferase-encoding genes.
Discussion
Despite the growing significance of glycosylation in immunity,5,28 its impact in TB is poorly understood. To address this hitherto unexplored question, we studied the outcome of Mtb infection in mice lacking Gcnt1, a key glycosyltransferase controlling core 2 O-glycans biosynthesis. Gcnt1 deficiency impacted bacterial burdens, lung pathology and mouse survival. It also associated with exacerbated BM, blood and lung neutrophilia, already present in naïve animals. In keeping with the immune pathological role of neutrophils in TB,1–4 the accumulation of these cells was strongly associated with lung necrotic lesions and it was markedly increased in Gcnt1−/− infected mice. Further implicating neutrophilia with susceptibility of Gcnt1−/− mice to Mtb infection, depleting neutrophils from Gcnt1−/− mice largely rescued their susceptible phenotype. Interestingly, Fut4−/− mice present normal neutrophil counts29 and no phenotype upon Mtb infection,19,20 whereas Fut7−/− mice exhibit blood neutrophilia30 and increased susceptibility to Mtb infection.19,20 Moreover, our preliminary data show that St3gal4−/− mice present normal neutrophil counts in homeostasis and respond to Mtb infection similar to C57BL/6 mice.
Blood neutrophilia has been described in Gcnt1−/− mice,11 but the underlying mechanisms remain elusive. Here, we show that hematopoietic abrogation of Gcnt1 was sufficient to cause blood neutrophilia, which may result from enhanced BM granulopoiesis. We have excluded other possible regulatory mechanisms, including a direct modulation of CXCR4 receptor levels in Gcnt1−/− neutrophils or a differential egress of immune cells from the BM to the blood. We also report an increase in lung neutrophil counts in Gcnt1−/− mice, which may seem counterintuitive, as absence of Gcnt1 associates with a partial deficiency of selectin ligands.11 However, the recruitment of neutrophils to the lung may follow an atypical selectin-independent cascade,9,31 as shown during Streptococcus pneumonia infection.32 Also, Gcnt1 activity has been demonstrated to be dispensable for lung neutrophil recruitment upon LPS stimulation.33 We show that lung neutrophilia in Gcnt1−/− mice involved both hematopoietic and stromal compartments. Whereas the contribution of the hematopoietic deficiency may be related to the increased number of available circulating neutrophils, that of the stroma does not relate with alterations in the permeability of the lung vasculature and may result from an upregulated Cxcl2 expression. Interestingly, it does not rely on differential expression of Cxcl5, a chemokine produced by epithelial cells that drives neutrophil recruitment, contributing to more severe forms of TB.34 In the same context, Gcnt1−/− neutrophils showed migratory profiles towards CXCL1, CXCL2 and CXCL5 similar to those of C57BL/6 neutrophils.
Neutrophils are widely described as detrimental in TB,1–4 and an interferon-inducible neutrophil-driven blood transcriptional signature was defined in human TB.25 Interestingly, human neutrophils are decorated with sialylated antigens, most notably sLex, which biosynthetic pathway involves Gcnt1 enzymatic activity.7 We found alterations in the expression of several glycosyltransferases in whole blood of active TB patients as compared to controls. Furthermore, we detected sLex immunostaining in lung sections of TB patients. Of note, previous reports showed that the urinary levels of sialic acid, the terminal glycan of sLex structure, discriminate patients with active TB from healthy controls or patients with non-tuberculous pulmonary diseases.35 Also, the regulation of the gene encoding CMAS, the enzyme that provides the substrate for the addition of sialic acid, specifically changed with infection with Mtb.36 Thus, modulation of sialylated antigens seems to occur in TB, as described in several pathologies, such as other infectious diseases and cancer.6,16,17,37
Collectively, this study further strengthens the role of glycosylation during immune responses and reveals that regulation of neutrophil homeostasis by host glycosyltranferases impacts TB outcome, a disease connected with high mortality and morbidity. Our findings raise awareness for the possible detrimental impact of targeting glycan dependent interactions, as envisaged for example in anticancer therapies,38 in the context of TB. Additionally, a better understanding of glycans and their functional roles during chronic infection, provides increasing opportunities for discovery and therapeutic intervention in settings like TB.
Material and methods
Ethics statement
The lung samples study was reviewed and approved by the Ethics Committees of the National Center for Tuberculosis and Lung Diseases of Georgia (IRB00007705-NCTLD-Georgia#1, IORG0006411) and of the Germans Trias I Pujol Hospital (EC:PI-16–171). The blood samples study was reviewed and approved by the Portuguese Comissão de Ética para a Saúde da ARS Norte (#T792). All participants signed informed consents, and all data were anonymized.
Animal experiments followed the 2010/63/EU Directive, 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.
Animals
C57BL/6 wild-type or Gcnt1−/− mice were bred and housed at i3S and infected under ABSL3 conditions. The Gcnt1−/− mouse was obtained from the Consortium for Functional Glycomics.11 Mice were euthanized with isoflurane or CO2 inhalation with efforts to minimize suffering. Food and water were ad libitum.
Bacteria growth and quantification
Mtb strain HN878 was grown and stored as before.39 Viable bacteria was determined by serial dilution and colony forming unit (CFU) enumeration after 21–28 days of incubation at 37 °C in 7H11 agar plates. Bacterial quantification in infected lungs followed a similar protocol.
Experimental infection and animal monitoring
C57BL/6 and Gcnt1−/− (8–12 week old) mice were aerosol-infected with Mtb strain HN878 using an inhalation exposure system (Glas-Col), as published.39,40 Low and high dose infections delivered <200 or >350 bacteria to the lung, respectively, as determined 3 days post-infection. Infected mice were weighted every week or every two days, and humanely euthanized if 20% of their weight or responsiveness to physical stimulation were lost. Whenever possible, the lungs of moribund animals were harvested for histology assessment.
Organ processing
Lungs were aseptically excised and processed as before.39,40 Single-cell suspensions were used for bacterial burden determination, flow cytometry and RNA analysis.
Tissue samples, histology and morphometric analysis
The human lung samples (Table 2) are from the collection obtained within the SH-TBL project, led by the Experimental Tuberculosis Unit (UTE) and conducted in collaboration with the NCTLD; and registered at the ClinicalTrials.gov database under code NCT02715271.
Mouse lungs were fixed in 10% buffered-formalin and paraffin-embedded. Serial sections of 3 µm-thickness were haematoxylin-eosin (H&E) or Ziehl-Neelsen stained or used for immunofluorescence (MPO) analysis.39 Morphometric quantification of lung histology images is detailed in Fig. S1. Pathological scoring analysis of H&E-stained histological sections was performed by a veterinary pathologist blinded to the treatment groups. The histopathological features were scored using the following scale: 0 = absent, 1 = focal 2 = multiple, 3 = severe, 4 = severe and extensive. The % of animals with a certain score within the indicated experimental group was calculated for group comparison.
MPO immunostaining
Lung sections were stained with a goat anti-mouse antibody against MPO (AF3667, R&D systems; 1:40) overnight at 4 °C followed by a secondary donkey anti-goat IgG antibody conjugated with Alexa Fluor 568 (A11057, Invitrogen; 1:1000), and DAPI (Biolegend; 1:1000) for 2 h in the dark at RT. Glass coverslips were mounted onto the slides using Vectashield (Sigma). Slides were acquired using the IN Cell Analyzer 2000 (GE Healthcare) and analysed using IN Cell Developer software and ImageJ.41,42
RNA extraction, cDNA synthesis and real-time PCR analysis
Total RNA was extracted from mouse lungs or in-vitro-infected neutrophils, using TRI-Reagent (Sigma), converted to cDNA (NE Biolabs), and subjected to real-time PCR using SYBR green (Applied Biosystems) and specific oligonucleotides (Table S2). Melting and standard curves and RQ values were determined for each gene. Ubiquitin was used as a reference gene for normalization of target gene abundance.
Flow cytometry
Human or mouse blood, mouse BM and lung were stained for surface antigens (30 min; 4 °C) and fixed for 20 min in 2% paraformaldehyde-PBS after erythrocyte lysis. For the analysis of BM precursors, the mature lineage (Lin) was depleted (Miltenyi Biotec magnetic cell separation system), prior to Linneg staining with specific antibodies for progenitor markers. Dead cells were always excluded using a viability dye. Cells were acquired on a BD FACS Canto II. Data were analyzed using FlowJo version 10.1.r7. Gating strategies are in Fig. S2 and S3 and the antibodies used in Table S3.
Neutrophil depletion
In vivo depletion of neutrophils from infected Gcnt1-/- mice was as described:22 0.2 mg anti-Ly6G mAb (clone 1A8; BioXCell) or isotype control (clone GL117; R&D Systems) were administered i.p. from day 18 post-infection, every other day for 20 days. To control for the protocol, neutrophils in the lungs of mice treated with anti-Ly6G mAb or isotype control were detected at the end of the experiment by MPO staining (Fig. S2D).
Analysis of BM egress
Mice were intravenously injected with 0.6 μg of anti-mouse CD45 conjugated with Phycoerythrin (PE) (30-F11; Biolegend) in PBS, 2 min prior to euthanasia, to label BM sinusoidal cells.43 Blood and BM cells were collected and analysed by flow cytometry.
Analysis of lung vasculature permeability
Vasculature permeability was assessed using Evans Blue dye as described previously.44,45 Mice were intravenously injected with Evans Blue (1 mg per 30 g mouse, prepared in PBS). Thirty minutes after injection mice were sacrificed and lungs collected. After weight determination, samples were incubated in formamide for ~36 h at 55 °C. The formamide solution was recovered and absorbance was measured at 620 nm and 740 nm to determine the amount of Evans Blue present in the tissue. The presence of heme groups was corrected with the formula: A620(corrected) = A620 − (1.426 × A740 + 0.030).
In vitro infection of neutrophils and chemoattraction assays
For BM neutrophils isolation, BM cells were stained with anti-mouse Ly6G (1A8; Biolegend) followed by purification using anti-biotin magnetic beads and LS columns of MACS cell separation system (both Miltenyi Biotec). For in vitro infection, 105 neutrophils were seeded per well and infected with Mtb HN878 at MOI 2 or 10. After 3 h of infection, cells were recovered for RNA analysis or reactive oxygen species detection with DHE and DHR probes. Cells were incubated with DHE or DHR at 37 °C for 10 or 30 min, respectively. Samples were then acquired on a BD FACS Canto II to detect red-fluorescence (DHE) or green fluorescence (DHR) due to probes oxidization. For the chemotaxis assay, 105 neutrophils were seeded on the upper chamber of the 5 μm-pore transwells (96 well plate; Corning) and allowed to migrate for 3 h towards the lower chamber containing media with CXCL1, CXCL2 and CXCL5 (all from Peprotech) at 500, 50, 5 and 0.5 ng/ml or without cytokines. As control for the amount of cells seeded, cells were also seeded in the lower chamber. Cells were then recovered and stained with SAV PE-Cy7 (Biolegend). To quantify the number of migrated cells, counting beads (Biolegend) were added to the cells prior to acquisition in a BD FACS Canto II. All cytometry data were analysed using FlowJo version 10.1.r7.
Generation of BM chimeric mice
Recipient mice were irradiated with doses of 750 rad and reconstituted with 5 × 106 CD3-TCRβ-TCRγ/δ-depleted BM cells. Bactrim (80 mg sulfametoxadol and 16 mg trimetoprim/250 mL of water, for an estimated dose of 50 mg antibiotic/Kg/day) was administered in drinking water for the first 3 weeks post-reconstitution. A control group, in which BM cells from CD45.1-C57BL/6 mice were transferred into irradiated CD45.2-Gcnt1−/− mice, was included to monitor the efficiency of chimerism, 6 weeks post-transplantation (Supplemental Fig. 3A). Chimeras were infected at this stage.
RNA-seq data analysis
Raw paired-end RNA-seq data from whole-blood cohorts Berry London, Berry South Africa and Berry Leicester progressor26 (GSE107995) were processed separately. The reads were quality controlled through FastQC [v0.11.7] (Babraham Bioinformatics) and MultiQC.46 Filtering below 20 quality score and below 50 base-pairs, and adapters exclusion was performed using Trimmomatic [v0.38].47 Filtered reads were aligned to the human reference genome GRCh38 using HISAT2 [v2.1.0].48 StringTie [v1.3.4] was used for the assembly and raw counts matrix generated by prepDE.py.49 Differentially expressed genes were analysed in R [v3.5.1] with Bioconductor packages edgeR50,51 and limma.52 Genes with less than 15 raw counts in all samples were excluded. 202 genes encoding glycosyltransferases was extracted from the Glyco-Enzyme Repository (http://glycoenzymes.ccrc.uga.edu/). Differentially expressed genes were determined through linear model fitting. Empirical Bayes moderated t-statistics test was performed and genes with p-value < 0.05 and log2 fold-change < −1 or >1 were considered significant.
Immunohistochemistry and image analysis
Human lung sections were immunolabeled for sLex as described,53 with an antibody directed against CD15s (BD Pharmingen; CSLEX1) and ultraView DAB (Ventana Medical Systems).54
Statistical analysis
Data were analysed using GraphPad Prism (version 8.1.0). Student’s t-test was used to compare two groups and one-way ANOVA for more than two groups, with post-tests as in Figure legends. Data were checked for normality and log normality. Survival curves were analysed using Log-rank (Mantel-Cox) test. Significant differences are as follows: *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001 and ****p ≤ 0.0001.
Supplementary information
Acknowledgements
The authors thank the excellent support from the i3S scientific platforms, namely Animal facility, Translational Cytometry, Advanced Light Microscopy and BioSciences Screening, member of the national infrastructure PPBI—Portuguese Platform of Bioimaging (PPBI-POCI-01-0145-FEDER-022122). This work was financed by grants POCI-01-0145-FEDER-028955 (to M.S.), POCI-01-0145-FEDER-028489 (to A.M.), and POCI-01-0145-FEDER-016585 (to C.A.R.) and 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-000012). C.A.R. 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 (to C.V.). K.L.F. and R.M. are funded by FCT PhD scholarships SFRH/BD/114405/2016 and SFRH/BD/131159/2017, respectively; A.M. is funded by FCT; MS is funded by FCT through Estimulo Individual ao Emprego Científico. The authors thank Anne O’Garra for insightful discussions.
Author contributions
K.L.F., A.R.M., R.M.: performed experiments, analysed data and wrote the manuscript. A.R.M., L.S.C.: analysed the RNA-Seq data. J.S., B.C., L.B., A.I.F., S.M., J.G., G.T., P.R.M., M.M.C.: performed experiments. R.R., S.V., S.G., K.N.: provided the human samples used in the study. R.A., F.G.: analysed the mouse histology samples. C.V.: coordinated the human study. R.A., P.R., C.V., C.A.R.: critically discussed the experimental design and data and wrote the manuscript. A.M., M.S.: coordinated the study, designed the experiments, analysed data and wrote the manuscript. All authors read and approved the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Kaori L. Fonseca, Ana Raquel Maceiras
Contributor Information
Ana Magalhães, Email: amagalhaes@ipatimup.up.pt.
Margarida Saraiva, Email: margarida.saraiva@ibmc.up.pt.
Supplementary information
The online version of this article (10.1038/s41385-020-0277-7) contains supplementary material, which is available to authorized users.
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