Literature DB >> 26649827

Unique role for ATG5 in neutrophil-mediated immunopathology during M. tuberculosis infection.

Jacqueline M Kimmey1, Jeremy P Huynh1, Leslie A Weiss1, Sunmin Park2, Amal Kambal2, Jayanta Debnath3, Herbert W Virgin2, Christina L Stallings1.   

Abstract

Mycobacterium tuberculosis, a major global health threat, replicates in macrophages in part by inhibiting phagosome-lysosome fusion, until interferon-γ (IFNγ) activates the macrophage to traffic M. tuberculosis to the lysosome. How IFNγ elicits this effect is unknown, but many studies suggest a role for macroautophagy (herein termed autophagy), a process by which cytoplasmic contents are targeted for lysosomal degradation. The involvement of autophagy has been defined based on studies in cultured cells where M. tuberculosis co-localizes with autophagy factors ATG5, ATG12, ATG16L1, p62, NDP52, BECN1 and LC3 (refs 2-6), stimulation of autophagy increases bacterial killing, and inhibition of autophagy increases bacterial survival. Notably, these studies reveal modest (~1.5-3-fold change) effects on M. tuberculosis replication. By contrast, mice lacking ATG5 in monocyte-derived cells and neutrophils (polymorponuclear cells, PMNs) succumb to M. tuberculosis within 30 days, an extremely severe phenotype similar to mice lacking IFNγ signalling. Importantly, ATG5 is the only autophagy factor that has been studied during M. tuberculosis infection in vivo and autophagy-independent functions of ATG5 have been described. For this reason, we used a genetic approach to elucidate the role for multiple autophagy-related genes and the requirement for autophagy in resistance to M. tuberculosis infection in vivo. Here we show that, contrary to expectation, autophagic capacity does not correlate with the outcome of M. tuberculosis infection. Instead, ATG5 plays a unique role in protection against M. tuberculosis by preventing PMN-mediated immunopathology. Furthermore, while Atg5 is dispensable in alveolar macrophages during M. tuberculosis infection, loss of Atg5 in PMNs can sensitize mice to M. tuberculosis. These findings shift our understanding of the role of ATG5 during M. tuberculosis infection, reveal new outcomes of ATG5 activity, and shed light on early events in innate immunity that are required to regulate disease pathology and bacterial replication.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26649827      PMCID: PMC4842313          DOI: 10.1038/nature16451

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


Main Text

We first replicated the finding that Atg5 is critical in myeloid-derived cells for resistance to Mtb by infecting Atg5 mice[4,9]. LysM-promoter-driven expression of Cre recombinase (LysM-Cre) results in deletion of a floxed gene in alveolar MΦ, recruited MΦ, inflammatory monocytes, monocyte-derived DC, and PMN[19,20]. Following aerosol inoculation of Mtb into wild-type C57Bl/6 mice, bacteria replicate in innate immune cells until IFN-γ producing T cells are recruited to the lungs between 18 – 20 days post infection (dpi), resulting in control of bacterial burden and survival[21]. Consistent with previous publications[4,9], Atg5 mice lost 23% of their weight by 20 dpi and succumbed to Mtb between 30 – 40 dpi (Fig. 1a, b). In contrast, Atg5 control mice showed no signs of sickness or weight loss. Bacterial titers in Atg5 mice were significantly higher at 3 weeks post infection (wpi) than those in Atg5 mice (Fig. 1c, d). By 5 wpi, Atg5 mice had controlled pulmonary burden while Atg5 mice rapidly succumbed to infection (Fig. 1b, c).
Figure 1

ATG5, in contrast to other ATG factors, is essential to control Mtb infection

a – k, Mice infected with approximately 100 CFU of Mtb were monitored at various days post infection (dpi) or weeks post infection (wpi). a, Weight change, b, survival, and c, d, log pulmonary CFU of Atg5 (open circles) and Atg5 (closed circles). e, f, Weight change, and g, h, log pulmonary CFU of C57Bl/6 (open squares), Ulk1−/− (blue triangles), Ulk2−/− (inverted pink triangles), Atg4B−/− (red diamonds), and p62−/− (green circles) mice. i, Weight change and j, k, log pulmonary CFU of Atg14L (purple diamonds), Atg12 (red inverted triangles), Atg16L1 (green triangles), Atg7 (pink diamonds), Atg3 (brown circles) and corresponding floxed control mice. Floxed control mice are shown in open shapes, LysM-Cre-expressing mice are shown in closed shapes. l, Western blot analysis of p62, LC3 and actin in ex vivo peritoneal MΦ from uninfected mice. m, Fold change in Atg16L1 transcript from Atg16L1 lungs as compared to C57Bl/6 at 3 wpi. n, Weight change and o, p, log pulmonary CFU of Atg16L1 (open circles) and C57Bl/6 mice (open squares). When used, center values represent the mean ± SEM. Statistical differences were determined by log-rank Mantel-Cox test (b), Student’s t-test (d, m, and p) or one-way ANOVA and Bonferonni’s multiple comparison test (h, k). * P < 0.05, ** P < 0.01, ****P < 0.0001. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Fig. 1 for gel source data, Supplementary Fig. 2 for sample sizes and results from all statistical comparisons.

In cultured cells, Atg5, p62/SQSTM1, and Ulk1 have similar roles in controlling Mtb survival and replication[1,4,5,22]. We therefore explored the role of these and other genes involved in autophagy in vivo, by infecting mice with germline deletions of Ulk1, Ulk2 (autophagy induction), Atg4B (isolation membrane elongation), or p62/SQSTM1 (substrate targeting to autophagosome). Surprisingly, mice lacking Ulk1, Ulk2, Atg4B or p62 showed no signs of sickness during infection, efficiently controlled bacterial burden, and survived over 80 days with Mtb (Fig. 1e–h, and Extended Data Fig. 1a). Potential redundancy may explain the lack of a phenotype in Ulk1−/−, Ulk2−/−, Atg4B−/−, and p62−/− mice during Mtb infection. However, loss of either Ulk1 or Ulk2 results in clear autophagy defects in cultured cells[23], and Atg4B−/− mice have dramatic autophagy defects in many tissues, including a nearly complete loss of LC3-II formation in the lungs, kidney and liver[24]. Regardless of issues with redundancy, these data indicate a lack of correlation between in vitro and in vivo findings of the roles of these genes in controlling Mtb replication.
Extended Data Figure 1

Survival of mice with defects in autophagy genes other than Atg5

Percent survival of mice following infection with 100 CFU of aerosolized Mtb. a, Survival of C57Bl/6 (open squares), Ulk1−/− (blue triangles), Ulk2−/− (inverted pink triangles), Atg4B−/− (red diamonds), and p62−/− (green circles) mice. b, Survival of Atg14L (purple diamonds), Atg12 (red inverted triangles), Atg16L1 (green triangles), Atg7 (pink diamonds), Atg3 (brown circles) and corresponding floxed control mice. Floxed control mice are shown in open shapes, LysM-Cre-expressing mice are shown in closed shapes. c, Survival of C57Bl/6 (open squares), Atg16L1 (open circles). Samples represent biological replicates. See Supplementary Figure 2 for sample sizes.

We next tested the role of essential ATG genes other than Atg5 in resistance to Mtb. If ATG5 is required in vivo due to its role in canonical autophagy, then LysM-Cre deletion of other essential autophagy genes would result in a similar phenotype as observed in Atg5 mice. Contrary to expectation, Atg14L, Atg12, Atg16L1, Atg7 and Atg3 mice did not show any signs of sickness or weight loss following infection with Mtb and all survived over 80 dpi (Fig. 1i and Extended Data Fig. 1b). In addition, these mice were all able to control Mtb burden in a manner similar to C57Bl/6 mice (Fig. 1j, k). These findings were particularly notable as these same Atg16L1, Atg7 and Atg3 mice are dramatically more susceptible to Toxoplasma gondii, another pathogen for which IFN-γ plays a key role in resistance to infection[12,14]. Nevertheless, to compare the relative efficacy of conditional deletion of each essential autophagy factor, LC3 lipidation and p62 degradation were measured ex vivo in peritoneal exudate MΦ (Fig. 1l) and bronchoalveolar lavage MΦ (Extended Data Fig. 2). Consistent with previous publications utilizing these mouse strains[12,14], the floxed alleles in Atg5, Atg16L1 and Atg3 mice were effectively targeted in vivo resulting in similar increases in the amounts of LC3-I and p62, which indicate a defect in autophagy. Peritoneal MΦ and bronchoalveolar MΦ from Atg14L mice also accumulated p62 while, consistent with previous findings, the levels of LC3 were largely unaffected[12].
Extended Data Figure 2

Analysis of autophagy in bronchoalveolar MΦ

Western blot analysis of p62, LC3, and actin levels in ex vivo macrophages isolated from bronchoalveolar lavages of uninfected mice. For gel source data, see Supplementary Figure 1.

At 3 wpi, Atg5 mice have higher bacterial titers as compared to C57Bl/6 mice (Fig. 1d, k), which we attribute to hypomorphic expression of Atg5 from the Atg5 allele (Extended Data Fig. 3 and [25]). To determine if germline hypomorphism for an essential ATG factor other than ATG5 interferes with control of Mtb, we infected mice that are hypomorphic for ATG16L1 (Atg16L1)[26] (Fig. 1m). Atg16L1 mice showed no signs of sickness or weight loss following Mtb infection and controlled Mtb burden in a manner similar to C57Bl/6 mice (Fig. 1n–p, Extended Data Fig. 1c). Together, these data demonstrate that the loss of genes essential for canonical autophagy in LysM+ cells does not correlate with susceptibility to Mtb and suggest that ATG5 participates in a unique function not served by other essential ATG proteins. While autophagy-independent functions of ATG5 have been described[12-18], this is the first example of ATG5 being important for a response to an infection independent of ATG16L1 and ATG12.
Extended Data Figure 3

Atg5 bone marrow derived MΦ are hypomorphic for ATG5

Western blot analysis of ATG5 (ATG5–ATG12 conjugate, 56 kDa) and actin in uninfected bone marrow derived MΦ. For gel source data, see Supplementary Figure 1.

To further explore how ATG5 functions during Mtb infection, we next investigated the reports that Atg5 mice develop more severe inflammation following Mtb infection[4,9]. Various studies have demonstrated that myeloid-specific defects in components of the membrane elongation complex (ATG5, ATG7 or ATG16L1) can cause increased inflammation in vivo[27-29]. To distinguish between ATG16L1-dependent versus independent roles for ATG5 in regulating inflammation we measured immune responses to Mtb in the lungs of Atg5, Atg16L1 and control mice. Phenotypes specific to loss of Atg5 might be responsible for susceptibility to Mtb since Atg16L1 mice control Mtb infection similarly to wild-type C57Bl/6 mice (Fig. 1). At 2 wpi, Atg5 lungs contained larger lesions than those in C57Bl/6, Atg5 and Atg16L1 mice (Fig. 2a), even though bacterial burdens were similar in each strain at this timepoint (Extended Data Fig. 4). By 3 wpi, Atg5 lungs were severely inflamed with large lesions and extensive consolidation, while Atg5 and Atg16L1 lungs showed only moderate increases in inflammation (Fig. 2a). Consistent with this, the lungs of Atg5 mice at 3 wpi contained higher levels of proinflammatory cytokines than Atg16L1 or control mice (Fig. 2b). At this timepoint, the only cytokine that was significantly higher in the lungs of Atg16L1 mice compared to controls was IL-1β, however this was still only half as much IL-1β as detected in Atg5 lungs. The increased levels of IL-1β in mice lacking Atg16L1 is consistent with previous reports showing that autophagy in MΦ negatively regulates inflammasome-dependent IL-1β production[9,27-29]. The observed differences in cytokine production were a specific and active response to Mtb infection, as cytokine levels were not significantly different or were below the limit of detection in uninfected lungs (Extended Data Fig. 5).
Figure 2

Loss of Atg5 in LysM+ cells leads to earlier and more severe lung inflammation during Mtb infection

a, H&E stained histology of lungs at 2 and 3 wpi and gross pathology of lungs at 3 wpi. b – d, C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), Atg16L1 (green striped bars), Atg16L1 (green solid bars). b, Concentration of cytokines in lungs (homogenized in 5mL) at 2 and 3 wpi as detected by ELISA. c, d, Frequency of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes as a percentage of all single cells in lungs at 2 wpi (c) and 3 wpi (d). Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test (b–d). * P < 0.05, ** P < 0.01, ***P < 0.001, ****P < 0.0001. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons, Extended Data Fig. 5 for cytokine levels in uninfected lungs, and Extended Data Fig. 6 for gating strategy and number of cells in lungs.

Extended Data Figure 4

Loss of Atg5 or Atg16L1 in LysM+ cells does not lead to increased CFU at 2 wpi

Log pulmonary CFU at 2 weeks post infection (wpi). Samples represent biological replicates.

Extended Data Figure 5

Cytokine levels in uninfected lungs

Concentration of cytokines in lungs (homogenized in 1mL) from uninfected mice. Levels of IFN-γ, IL-6, MIP-1α, IL-17, and G-CSF were below the limit of detection. C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), Atg16L1 (green striped bars), Atg16L1 (green solid bars). Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test. n.s., not significant. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

To characterize cell populations contributing to the inflammation, flow cytometry was performed at 2 and 3 wpi in Atg5, Atg16L1, and control mice. At 2 wpi, Atg5 lungs contained a significantly greater frequency of PMN than Atg5 or C57Bl/6 mice (Fig. 2c, Extended Data Fig. 6). This difference was more pronounced at 3 wpi, and at this time point the frequency of PMN in Atg5 lungs was also significantly higher than in Atg16L1 lungs (Fig. 2d). Atg5 lungs also contained a greater percentage of inflammatory monocytes than C57Bl/6 mice at 2 wpi, however this level was similar to Atg5 lungs and, by 3 wpi, was not significantly different from any other strain. The increased inflammation in Atg5 lungs likely contributes to the severe lung pathology and morbidity observed in these mice (Fig. 1a, b and Fig. 2a–d). In addition, the absence of higher bacterial burden at 2 wpi (Extended Data Fig. 4) indicates that the increased inflammation in the Mtb infected Atg5 mice is a direct result of loss of Atg5 rather than a response to uncontrolled bacterial replication.
Extended Data Figure 6

Number of inflammatory cells in lungs of mice at 2 and 3 wpi (related to Fig. 2)

a, Gating strategy for analysis of inflammatory cells in lungs at 2 and 3 wpi. Single lung cells were gated based on CD11b, CD11c, Ly6G, Ly6C and autofluorescence (auto). The parental gate is shown above each contour plot. Representative data is shown from an Atg5 mouse at 2 wpi. b, c, C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), Atg16L1 (green striped bars), Atg16L1 (green solid bars). Mean number of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes in lungs at 2 wpi (b) and 3 wpi (c). Flow cytometry data presented in (b) and (c) and in Fig. 2 are the compilation of results from five experiments. In some experiments, different amounts of lung were collected for analysis, making it difficult to compare the average number of each cells between strains, unless the data is normalized (as done in Fig. 2c, d – percentage of total cells). Therefore, to compare the raw number of cells detected in each cell population, each mouse analyzed at 2 wpi (d) and 3 wpi (e) has been graphed individually. Each line represents a different mouse, with dots indicating the number of total cells, alveolar MΦ, PMN, recruited MΦ and inflammatory monocytes. Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test (b, c). * P < 0.05. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

Excessive PMN recruitment is a hallmark of acute susceptibility to Mtb and is associated with uncontrolled tissue damage and progression of disease[11]. We hypothesized that the susceptibility of the Atg5 mice is related to the increased frequency of PMN in these mice during Mtb infection and, therefore, sought to determine if depletion of PMN would improve control of Mtb[11]. Antibody-mediated depletion of PMN (anti-Ly6G, clone 1A8) from 10 – 28 dpi allowed Atg5 mice to recover their loss in weight and survive over 80 dpi (Fig. 3a, b). To survive 80 dpi, PMN-depleted Atg5 mice must have functional IFN-γ signaling and T cell responses, since Rag−/− and PMN-depleted IFNGR−/− mice both succumb to Mtb by 60 dpi[11]. Furthermore, at 3 wpi, PMN-depleted Atg5 mice had significantly lower levels of proinflammatory cytokines, pulmonary burden, and lung pathology than IgG control-treated mice (Fig. 3c–e). The depletion of PMN alleviated all phenotypes observed at 3 wpi in Atg5 mice, indicating that a dysfunctional PMN response leads to the susceptibility of these mice.
Figure 3

Depletion of PMN allows for survival of Atg5 mice during Mtb infection

a, Weight change and b, survival of Atg5 mice that received PMN-depleting anti-Ly6G (1A8, closed blue circle), isotype control (IgG, open blue circle), or no treatment (open pink triangle) every other day from 10 – 28 dpi. c, d, Atg5 (blue striped bars) and Atg5 (blue solid bars) mice were treated with IgG or 1A8 and analyzed at 3 wpi. c, Cytokine concentration in lungs (homogenized in 5mL) and d, log pulmonary CFU. e, Pulmonary pathology of Atg5 mice at 3 wpi following treatment with IgG or 1A8. Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test (c, d). * P < 0.05, ** P < 0.01, ***P < 0.001, ****P < 0.0001. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

We next sought to determine in which cell type(s) Atg5 is required to control Mtb. LysM-Cre deletion occurs in PMN, MΦ, inflammatory monocytes and myeloid-derived DC[19,20], indicating that Atg5 plays a critical role in one or more of these populations during Mtb infection. Alveolar MΦ are the first cells infected upon inhalation of Mtb and are required for the establishment of infection[30]. Furthermore, previous in vitro studies suggested that a predominant role for ATG5 during Mtb infection is to control bacterial replication in MΦ[1-4,6-8]. Therefore, we investigated whether ATG5 is required in alveolar MΦ to control Mtb by infecting Atg5 mice, which lack ATG5 in alveolar MΦ and DC[20]. In contrast to Atg5 mice, Atg5 mice did not lose weight during Mtb infection, were able to control bacterial burden, and survived over 80 dpi (Fig. 4a–c). Alveolar MΦ from Atg5 and Atg5 mice displayed similar autophagy defects (Fig. 4d and Extended Data Fig. 2), indicating that resistance to Mtb is neither dependent on nor correlated with autophagic capacity in alveolar MΦ. Furthermore, this suggests ATG5 plays an essential role within other cells targeted by LysM-Cre-mediated gene deletion, such as PMNs, recruited MΦ and/or inflammatory monocytes, to control Mtb infection.
Figure 4

Loss of Atg5 in PMN, but not alveolar MΦ or DCs, can cause susceptibility to Mtb

a, Weight change and b, c, log pulmonary CFU of Atg5 (open circles) and Atg5 (closed circles). d, Western blot analysis of p62, LC3, and actin in bronchoalveolar MΦ from Atg5 and Atg5-CD11c-Cre mice. e, Western blot analysis of p62, LC3, and actin in bone marrow PMN from Atg5-LysM-Cre and Atg5-MRP8-Cre mice. f, Weight change of Atg5 (open blue circles), Atg5 (closed blue circles), Atg5 (closed black diamonds) mice following infection with Mtb. g, Weight change of mice following infection with Mtb. 50% of Atg5 mice lost over 5% of their weight by 20 dpi (“susceptible,” closed purple triangles) while 50% of Atg5 mice did not (“healthy,” open black triangles). h, Log pulmonary CFU at 3 wpi. i, j, C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), “healthy” Atg5 (purple striped bars), and “susceptible” Atg5 (purple solid bars). i, Concentration of cytokines in lungs (homogenized in 5mL) at 3 wpi. j, Frequency of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes as a percentage of single cells in lungs at 3 wpi. When used, center values represent the mean ± SEM. Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test (h–j). * P < 0.05, ** P < 0.01, ***P < 0.001, ****P < 0.0001. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons, and Extended Data Fig. 7 for total numbers of cells in lungs.

We have shown that excessive PMN dominated inflammation leads to the susceptibility of Atg5 mice. To determine whether loss of Atg5 from PMN is sufficient to cause susceptibility to Mtb, we next utilized Atg5 mice, which delete Atg5 in PMN[20] (Fig. 4e). Atg5 mice were more susceptible to Mtb infection, as indicated by an average increase in weight loss compared to floxed controls (Fig. 4f). However, analysis of individual mice revealed that only half of the Atg5 mice lost weight following Mtb infection (between 10 – 20% of their starting weight); the remaining 50% of mice exhibited an average 2% weight gain. This split phenotype was reproducible across multiple experiments, and was independent of differences in age, sex, or litter of the mice, suggesting a threshold effect in the susceptibility of the Atg5 mice. To study these two distinct outcomes, we compared responses in mice that lost over 5% of their starting weight at 20 dpi (“susceptible”) with the remaining mice (“healthy”) (Fig. 4g). At 3 wpi, lungs from susceptible Atg5 mice exhibited higher bacterial burden, cytokine responses, and frequency of PMN (Fig. 4h–j, Extended Data Fig. 7). The susceptible Atg5 mice display the same phenotypes as the Atg5 mice, demonstrating a PMN-intrinsic role for ATG5 during acute Mtb infection. However, the incomplete penetrance of susceptibility in Atg5 mice suggests that the extreme sensitivity of Atg5 mice to Mtb results from the loss of Atg5 in MΦ and monocytes, as well as PMN. Notably, Atg16L1 mice are not susceptible to Mtb infection even though PMN (Extended Data Fig. 8), in addition to MΦ (Fig. 1l and Extended Data Fig. 2), from Atg16L1 and Atg5 mice have a similar defect in autophagy. This further supports that ATG5 functions, at least in part, independently of ATG16L1 to protect mice from Mtb infection.
Extended Data Figure 7

Number of inflammatory cells in lungs of mice at 3 wpi (related to Fig. 4)

Number of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes in lungs at 3 wpi. C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), “healthy” Atg5 (purple striped bars), and “susceptible” Atg5 (purple solid bars). Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test * P < 0.05. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

Extended Data Figure 8

Analysis of autophagy in bone marrow PMN

Western blot analysis of p62, LC3, and actin in bone marrow PMN from uninfected mice. Each lane represents an individual mouse. Two replicates of the Atg5 and Atg16L1 mice are shown. For gel source data, see Supplementary Figure 1.

Despite numerous in vitro studies emphasizing a role for autophagy in MΦ during Mtb infection (including, but not limited to ref [1-8]), our data show that loss of genes essential for canonical autophagy does not correlate with susceptibility to Mtb in the context of a complete immune response in the host. Importantly, mice used in our studies have similar autophagy defects and have been used in prior publications to investigate the function of individual ATG factors[12-15], validating these mice as suitable genetic models to study autophagy in vivo. Our studies indicate that prior reports analyzing the role of only a single autophagy gene to conclude that canonical autophagy is responsible for the phenotypes observed need to be reexamined. The observation that the Atg5 and Atg5 mice have only small differences in Mtb burden supports the other data presented herein that the dramatic difference in the inflammatory response is the predominant driver of susceptibility in Atg5 mice during Mtb infection. The apparent insignificance of macroautophagy for controlling Mtb replication may reflect that Mtb encodes highly effective inhibitors of canonical autophagy, however these mechanisms have yet to be described. Furthermore, studies investigating loss of autophagy, including this one, do not address whether activation of autophagy could enhance restriction of Mtb replication. By analyzing different Cre-mediated deletion strains, we have found that loss of Atg5 in PMN, but not alveolar MΦ or DC, can result in loss of control of Mtb infection, but the severe susceptibility of the Atg5 mice relies on deletion of Atg5 in multiple LysM+ cell types. These data also reveal a PMN-intrinsic role for ATG5 during Mtb infection. Importantly, the reversal of all phenotypes in the Atg5 mice upon PMN-depletion positions PMN as a major driver in the dysfunctional response in these mice. Our experiments point to a model where infection with Mtb induces a proinflammatory response that leads to the recruitment of PMN to the lung. The absence of Atg5 expression within the responding myeloid cells leads to uncontrolled accumulation of PMN in the lung, which causes increased pathology and likely provides an expanded niche for bacterial infection. The animal then succumbs to infection before the adaptive immune response is able to control the inflammation and bacterial replication. Together, the in vivo genetic analyses presented here argue for a shift in focus onto macroautophagy-independent roles of ATG5 in controlling resistance to Mtb infection in vivo.

Methods

Cells and Media

Mycobacterium tuberculosis Erdman was cultured at 37 C in 7H9 (broth) or 7H10 (agar) (Difco) medium supplemented with 10% oleic acid/albumin/dextrose/catalase (OADC), 0.5% glycerol, and 0.05% Tween 80 (broth). Ex vivo MΦ were enriched from mice via bronchoalveolar lavage or peritoneal lavage with DMEM + 10% FBS + 1% MEM non-essential amino acids (Cellgro 25–025-CI) + 100 U/mL Penicillin + 100 mg/mL Streptomycin (Sigma P4333). Lavage cells were treated with ACK lysis buffer (0.15M NH4Cl, 10mM KHCO3, 0.1mM EDTA) to lyse red blood cells, plated in tissue culture treated plates, and incubated at 37°C in 5% CO2 for at least 4 hours to allow adherence of MΦ[14]. Wells were washed vigorously with PBS to remove non-adherent cells and lysed in 2X Laemmli buffer for western blot analysis. Bone marrow derived MΦ were isolated from femurs and tibias of mice, and cultured in DMEM + 20% FBS + 10% supernatant from 3T3 cells overexpressing M-CSF + 1% MEM non-essential amino acids (Cellgro 25–025-CI) + 100 U/mL penicillin and 100 μg/mL streptomycin (Sigma P4333) at 37° C in 5% CO2. PMN for ex vivo western blotting analysis were purified from uninfected bone marrow by negative selection via MACS column (Miltenyi Biotech, 130-097-658) according to manufacturer’s guidelines and immediately lysed in 2X Laemmi buffer.

Western Blotting

Protein samples were diluted in 2X Laemmli buffer, resolved using 4–20% polyacrylamide gels (BioRad #456-1096) transferred to PVDF membrane (GE Healthcare 10600023) and detected with the following antibodies: LC3b (Sigma L7543 - detects LC3-I and LC3-II), p62 / SQSTM1 (Sigma P0067), ATG5 (Sigma A2859), β-actin (Cell Signaling Technology #4970) and goat-anti-mouse:HRP and goat-anti-rabbit:HRP as appropriate. HRP was detected using Western Lightning Plus ECL (PerkinElmer #NEL103001EA) for actin or ECL Prime (GE Healthcare RPN2232) for LC3b, p62 and ATG5. For gel source data, see Supplementary Figure 1.

Mouse strains

Adult mice (age 7–15 weeks) of both sexes were used and mouse experiments were randomized. No blinding was performed during animal experiments. All mice used have been fully backcrossed to a C57Bl/6 background. Sample sizes are detailed in Supplemental Figure 2 and were sufficient to detect differences as small as 10% using the statistical methods described. Atg5, and Atg14L1, and all floxed control mice have been previously described[12-14]. Atg14L and floxed control mice were kindly provided by Dr. Shizuo Akira, Osaka University, Japan. Atg3 mice were derived from Atg3 mice kindly provided by Dr. You-Wen He, Duke University, USA[31]. Atg12 mice were derived from Atg12 mice[32]. Atg16L1 mice have been previously described (HM1, BC0122 strain)[26]. p62−/− mice were kindly supplied by Dr. Eileen White at Rutgers University[33]. Atg4Bgt/gt mice were previously described, and are referred to as Atg4B−/− throughout the text[24]. Ulk1−/− and Ulk2−/− mice were kindly provided by Dr. Sharon Tooze at the London Research Institute[34,35]. Atg5 and Atg5 mice were generated in our facility by crossing Atg5 to CD11c-Cre (The Jackson Laboratory 007567) and MRP8-Cre (The Jackson Laboratory 021614). All procedures involving animals were conducted following the National Institute of Health guidelines for housing and care of laboratory animals and performed in accordance with institutional regulations after protocol review and approval by the Institutional Animal Care and Use Committee of The Washington University in St. Louis School of Medicine (protocol #20130156, Analysis of Mycobacterial Pathogenesis). Washington University is registered as a research facility with the United States Department of Agriculture and is fully accredited by the American Association of Accreditation of Laboratory Animal Care. The Animal Welfare Assurance is on file with OPRR-NIH. All animals used in these experiments were subjected to no or minimal discomfort. All mice were euthanized by CO2 asphyxiation, which is approved by The Panel on Euthanasia of the American Veterinary Association.

Mtb infection of mice

Before infection, exponentially replicating Mtb were washed in PBS + 0.05% Tween-80, and sonicated to disperse clumps. 7- to 15-week-old female and male mice were exposed to 8 × 107 colony forming units (CFU) of Mtb in an Inhalation Exposure System (Glas-Col), which delivers ~100 bacteria to the lung per animal. At 24 hours post infection, the bacterial titers in the lungs of at least two mice were determined to confirm the dose of Mtb inoculation. The dose determined from these mice is assumed to represent the average dose received by all mice in the same infection. Bacterial burden was determined by plating serial dilutions of lung homogenates onto 7H10 agar plates. Plates were incubated at 37°C in 5% CO2 for 3 weeks prior to counting colonies.

Flow cytometry

Lungs were perfused with sterile PBS and digested at 37°C for 1 hour with 625 μg/mL collagenase D (Roche 11088875103) and 75 U/mL DNase I (Sigma D4527). Single cell suspensions stained in PBS + 2% FBS + 0.1% sodium azide in the presence of Fc receptor blocking antibody (BD Pharmingen 553541) and stained with the antibodies against the following mouse markers: CD11b_PerCP-Cy5.5 (BD Pharmingen 550993), CD11c_APC-Cy7 (eBioscience 47-0114), Ly6C_PE (BD Pharmingen 560592), Ly6G_PE-Cy7 (BD Pharmingen 560601), and F4/80_APC (Invitrogen MF48005). The FITC channel was used to determine autofluorescence. Cells were stained for 20 minutes at 4C and then fixed in 4% paraformaldehyde (Electron Microscopy Sciences) for 20 minutes at room temperature. Flow cytometry was performed on a FACSCanto II (BD Bioscience) and data was analyzed with FlowJo (Tree Star Inc.). Gating strategies are depicted in Extended Data Fig. 6a.

Cytokine analysis

Lungs (right lobe) were homogenized in 1mL (uninfected mice) or 5mL (Mtb-infected mice) PBS + 0.05% Tween-80. Homogenized tissue supernatants were filtered (0.22um) and analyzed by ELISA according to manufacturer’s guidelines (R&D systems): KC/CXCL1 (DY453), IFN-γ (DY485), TNF-α (DY410), IL-1α (DY400), IL-1α (DY401), IL-6 (DY406), IL-17 (DY421), MIP-1α/CCL3 (DY450), MIP-2/CXCL2 (DY452), and G-CSF (DY414).

RNA extraction and quantification

Following tissue disruption by bead-beating (MP Biosystems), RNA was extracted from Mtb-infected lungs using the RNeasy Kit according to manufacturer’s guidelines (Qiagen 74106). cDNA was made with SuperScript III reverse transcriptase using oligo-dT primers (Life Technologies 18080-051). qRT-PCR was performed using iTAQ SYBR Green (BioRad 172-5121) and transcript levels were normalized to actin. The following primers were used: Atg16L1-fwd 5′-CCGAATCTGGACTGTGGATG-3′, Atg16L1-rev 5′CGGAGATCCCAGAGTTTGAG-3′, Actin-fwd 5′-ACCTTCTACAATGAGCTGCG-3′, and Actin-rev 5′-CTGGATGGCTACGTACATGG-3′

PMN depletion

Mice were treated with 0.2 mg anti-Ly6G (clone 1A8) or 0.2 mg rat IgG (Sigma I8015) via i.p. injection every 48 hours between day 10 and 28 post infection. Efficacy of PMN depletion was confirmed by loss of CD11b+ Gr-1high cells in lungs at 21 dpi. Anti-Ly6G was collected from 1A8 hybridoma[36] grown in Serum Free Medium (Gibco #12045-076) in CL350 Bioreactor flasks (Argos Technologies #900 10).

Data and Statistics

All experiments were performed at least twice. When shown, multiple samples represent biological (not technical) replicates of mice randomly sorted into each experimental group. No blinding was performed during animal experiments. Animals were only excluded when pathology unrelated to Mtb infection was present (i.e. weight loss due to malocculsion). Determination of statistical differences was performed with Prism 5 (Graphpad Software, Inc) using log-rank Mantel-Cox test (survival), unpaired two-tailed t-test (to compare two groups with similar variances), or one-way ANOVA with Bonferonni’s Multiple Comparison test (to compare more than two groups). Sample sizes were sufficient to detect differences as small as 10% using the statistical methods described. When used, center values and error bars represent the mean ± S.E.M. In all figures, all significant differences are indicated by asterisks: * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. Non-significant comparisons of particular interest are noted in figures by n.s. (not significant). Sample sizes and the results of all comparisons can be found in Supplementary Figure 2.

Survival of mice with defects in autophagy genes other than Atg5

Percent survival of mice following infection with 100 CFU of aerosolized Mtb. a, Survival of C57Bl/6 (open squares), Ulk1−/− (blue triangles), Ulk2−/− (inverted pink triangles), Atg4B−/− (red diamonds), and p62−/− (green circles) mice. b, Survival of Atg14L (purple diamonds), Atg12 (red inverted triangles), Atg16L1 (green triangles), Atg7 (pink diamonds), Atg3 (brown circles) and corresponding floxed control mice. Floxed control mice are shown in open shapes, LysM-Cre-expressing mice are shown in closed shapes. c, Survival of C57Bl/6 (open squares), Atg16L1 (open circles). Samples represent biological replicates. See Supplementary Figure 2 for sample sizes.

Analysis of autophagy in bronchoalveolar MΦ

Western blot analysis of p62, LC3, and actin levels in ex vivo macrophages isolated from bronchoalveolar lavages of uninfected mice. For gel source data, see Supplementary Figure 1.

Atg5 bone marrow derived MΦ are hypomorphic for ATG5

Western blot analysis of ATG5 (ATG5ATG12 conjugate, 56 kDa) and actin in uninfected bone marrow derived MΦ. For gel source data, see Supplementary Figure 1.

Loss of Atg5 or Atg16L1 in LysM+ cells does not lead to increased CFU at 2 wpi

Log pulmonary CFU at 2 weeks post infection (wpi). Samples represent biological replicates.

Cytokine levels in uninfected lungs

Concentration of cytokines in lungs (homogenized in 1mL) from uninfected mice. Levels of IFN-γ, IL-6, MIP-1α, IL-17, and G-CSF were below the limit of detection. C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), Atg16L1 (green striped bars), Atg16L1 (green solid bars). Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test. n.s., not significant. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

Number of inflammatory cells in lungs of mice at 2 and 3 wpi (related to Fig. 2)

a, Gating strategy for analysis of inflammatory cells in lungs at 2 and 3 wpi. Single lung cells were gated based on CD11b, CD11c, Ly6G, Ly6C and autofluorescence (auto). The parental gate is shown above each contour plot. Representative data is shown from an Atg5 mouse at 2 wpi. b, c, C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), Atg16L1 (green striped bars), Atg16L1 (green solid bars). Mean number of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes in lungs at 2 wpi (b) and 3 wpi (c). Flow cytometry data presented in (b) and (c) and in Fig. 2 are the compilation of results from five experiments. In some experiments, different amounts of lung were collected for analysis, making it difficult to compare the average number of each cells between strains, unless the data is normalized (as done in Fig. 2c, d – percentage of total cells). Therefore, to compare the raw number of cells detected in each cell population, each mouse analyzed at 2 wpi (d) and 3 wpi (e) has been graphed individually. Each line represents a different mouse, with dots indicating the number of total cells, alveolar MΦ, PMN, recruited MΦ and inflammatory monocytes. Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test (b, c). * P < 0.05. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

Number of inflammatory cells in lungs of mice at 3 wpi (related to Fig. 4)

Number of alveolar MΦ, PMN, recruited MΦ, and inflammatory monocytes in lungs at 3 wpi. C57Bl/6 (grey solid bars), Atg5 (blue striped bars), Atg5 (blue solid bars), “healthy” Atg5 (purple striped bars), and “susceptible” Atg5 (purple solid bars). Statistical differences were determined by one-way ANOVA and Bonferonni’s multiple comparison test * P < 0.05. Notable comparisons that were not significantly different are designated as n.s. Samples represent biological replicates. See Supplementary Figure 2 for sample sizes and results from all statistical comparisons.

Analysis of autophagy in bone marrow PMN

Western blot analysis of p62, LC3, and actin in bone marrow PMN from uninfected mice. Each lane represents an individual mouse. Two replicates of the Atg5 and Atg16L1 mice are shown. For gel source data, see Supplementary Figure 1.
  36 in total

1.  Temporal regulation of intracellular organelle homeostasis in T lymphocytes by autophagy.

Authors:  Wei Jia; You-Wen He
Journal:  J Immunol       Date:  2011-03-18       Impact factor: 5.422

2.  Autophagy is essential for mouse sense of balance.

Authors:  Guillermo Mariño; Alvaro F Fernández; Sandra Cabrera; Yunxia W Lundberg; Rubén Cabanillas; Francisco Rodríguez; Natalia Salvador-Montoliu; José A Vega; Antonino Germanà; Antonio Fueyo; José M P Freije; Carlos López-Otín
Journal:  J Clin Invest       Date:  2010-06-23       Impact factor: 14.808

3.  The requirement of uncoordinated 51-like kinase 1 (ULK1) and ULK2 in the regulation of autophagy.

Authors:  Eun-Ju Lee; Cathy Tournier
Journal:  Autophagy       Date:  2011-07-01       Impact factor: 16.016

4.  Identification of host-dependent survival factors for intracellular Mycobacterium tuberculosis through an siRNA screen.

Authors:  Shilpi Jayaswal; Md Azhar Kamal; Raina Dua; Shashank Gupta; Tanmay Majumdar; Gobardhan Das; Dhiraj Kumar; Kanury V S Rao
Journal:  PLoS Pathog       Date:  2010-04-15       Impact factor: 6.823

5.  ULK-Atg13-FIP200 complexes mediate mTOR signaling to the autophagy machinery.

Authors:  Chang Hwa Jung; Chang Bong Jun; Seung-Hyun Ro; Young-Mi Kim; Neil Michael Otto; Jing Cao; Mondira Kundu; Do-Hyung Kim
Journal:  Mol Biol Cell       Date:  2009-02-18       Impact factor: 4.138

6.  Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1beta production.

Authors:  Tatsuya Saitoh; Naonobu Fujita; Myoung Ho Jang; Satoshi Uematsu; Bo-Gie Yang; Takashi Satoh; Hiroko Omori; Takeshi Noda; Naoki Yamamoto; Masaaki Komatsu; Keiji Tanaka; Taro Kawai; Tohru Tsujimura; Osamu Takeuchi; Tamotsu Yoshimori; Shizuo Akira
Journal:  Nature       Date:  2008-10-05       Impact factor: 49.962

7.  A key role for autophagy and the autophagy gene Atg16l1 in mouse and human intestinal Paneth cells.

Authors:  Ken Cadwell; John Y Liu; Sarah L Brown; Hiroyuki Miyoshi; Joy Loh; Jochen K Lennerz; Chieko Kishi; Wumesh Kc; Javier A Carrero; Steven Hunt; Christian D Stone; Elizabeth M Brunt; Ramnik J Xavier; Barry P Sleckman; Ellen Li; Noboru Mizushima; Thaddeus S Stappenbeck; Herbert W Virgin
Journal:  Nature       Date:  2008-10-05       Impact factor: 49.962

8.  Regulation of neutrophils by interferon-γ limits lung inflammation during tuberculosis infection.

Authors:  Bisweswar Nandi; Samuel M Behar
Journal:  J Exp Med       Date:  2011-10-03       Impact factor: 14.307

9.  Lymph-migrating, tissue-derived dendritic cells are minor constituents within steady-state lymph nodes.

Authors:  Claudia Jakubzick; Milena Bogunovic; Anthony J Bonito; Emma L Kuan; Miriam Merad; Gwendalyn J Randolph
Journal:  J Exp Med       Date:  2008-11-03       Impact factor: 14.307

10.  Autophagosome-independent essential function for the autophagy protein Atg5 in cellular immunity to intracellular pathogens.

Authors:  Zijiang Zhao; Blima Fux; Megan Goodwin; Ildiko R Dunay; David Strong; Brian C Miller; Ken Cadwell; Monica A Delgado; Marisa Ponpuak; Karen G Green; Robert E Schmidt; Noboru Mizushima; Vojo Deretic; L David Sibley; Herbert W Virgin
Journal:  Cell Host Microbe       Date:  2008-11-13       Impact factor: 21.023

View more
  171 in total

1.  Tuberculosis: Autophagy is not the answer.

Authors:  Samuel M Behar; Eric H Baehrecke
Journal:  Nature       Date:  2015-12-09       Impact factor: 49.962

2.  BCL6 modulates tissue neutrophil survival and exacerbates pulmonary inflammation following influenza virus infection.

Authors:  Bibo Zhu; Ruixuan Zhang; Chaofan Li; Li Jiang; Min Xiang; Zhenqing Ye; Hirohito Kita; Ari M Melnick; Alexander L Dent; Jie Sun
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-28       Impact factor: 11.205

Review 3.  Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.

Authors:  Michael L McHenry; Scott M Williams; Catherine M Stein
Journal:  Infect Genet Evol       Date:  2020-01-22       Impact factor: 3.342

Review 4.  Autophagy in Pulmonary Innate Immunity.

Authors:  Lang Rao; N Tony Eissa
Journal:  J Innate Immun       Date:  2019-04-24       Impact factor: 7.349

5.  Host response: Inflammation promotes TB growth.

Authors:  Christina L Stallings
Journal:  Nat Microbiol       Date:  2017-06-27       Impact factor: 17.745

Review 6.  Pharmacological modulation of autophagy: therapeutic potential and persisting obstacles.

Authors:  Lorenzo Galluzzi; José Manuel Bravo-San Pedro; Beth Levine; Douglas R Green; Guido Kroemer
Journal:  Nat Rev Drug Discov       Date:  2017-05-19       Impact factor: 84.694

Review 7.  Autophagy in Pulmonary Diseases.

Authors:  Kiichi Nakahira; Maria Angelica Pabon Porras; Augustine M K Choi
Journal:  Am J Respir Crit Care Med       Date:  2016-11-15       Impact factor: 21.405

Review 8.  ESX secretion systems: mycobacterial evolution to counter host immunity.

Authors:  Matthias I Gröschel; Fadel Sayes; Roxane Simeone; Laleh Majlessi; Roland Brosch
Journal:  Nat Rev Microbiol       Date:  2016-09-26       Impact factor: 60.633

9.  Suppression of autophagy and antigen presentation by Mycobacterium tuberculosis PE_PGRS47.

Authors:  Neeraj K Saini; Andres Baena; Tony W Ng; Manjunatha M Venkataswamy; Steven C Kennedy; Shajo Kunnath-Velayudhan; Leandro J Carreño; Jiayong Xu; John Chan; Michelle H Larsen; William R Jacobs; Steven A Porcelli
Journal:  Nat Microbiol       Date:  2016-08-15       Impact factor: 17.745

10.  Beige Adipocyte Maintenance Is Regulated by Autophagy-Induced Mitochondrial Clearance.

Authors:  Svetlana Altshuler-Keylin; Kosaku Shinoda; Yutaka Hasegawa; Kenji Ikeda; Haemin Hong; Qianqian Kang; Yangyu Yang; Rushika M Perera; Jayanta Debnath; Shingo Kajimura
Journal:  Cell Metab       Date:  2016-08-25       Impact factor: 27.287

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.