Cellular and molecular dynamics in the lungs of neonatal and juvenile mice in response to E. coli

Sharon A McGrath-Morrow; Jarrett Venezia; Roland Ndeh; Nigel Michki; Javier Perez; Benjamin David Singer; Raffaello Cimbro; Mark Soloski; Alan L Scott

doi:10.7554/eLife.82933

. 2023 Jun 2;12:e82933. doi: 10.7554/eLife.82933

Cellular and molecular dynamics in the lungs of neonatal and juvenile mice in response to E. coli

Sharon A McGrath-Morrow ^1,^✉, Jarrett Venezia ², Roland Ndeh ¹, Nigel Michki ¹, Javier Perez ¹, Benjamin David Singer ³, Raffaello Cimbro ⁴, Mark Soloski ⁴, Alan L Scott ²

Editors: Paul W Noble⁵, Paul W Noble⁶

PMCID: PMC10264069 PMID: 37266566

Abstract

Bacterial pneumonia in neonates can cause significant morbidity and mortality when compared to other childhood age groups. To understand the immune mechanisms that underlie these age-related differences, we employed a mouse model of Escherichia coli pneumonia to determine the dynamic cellular and molecular differences in immune responsiveness between neonates (PND 3–5) and juveniles (PND 12–18), at 24, 48, and 72 hr. Cytokine gene expression from whole lung extracts was also quantified at these time points, using quantitative RT-PCR. E. coli challenge resulted in rapid and significant increases in neutrophils, monocytes, and γδT cells, along with significant decreases in dendritic cells and alveolar macrophages in the lungs of both neonates and juveniles. E. coli-challenged juvenile lung had significant increases in interstitial macrophages and recruited monocytes that were not observed in neonatal lungs. Expression of IFNγ-responsive genes was positively correlated with the levels and dynamics of MHCII-expressing innate cells in neonatal and juvenile lungs. Several facets of immune responsiveness in the wild-type neonates were recapitulated in juvenile MHCII^−/− juveniles. Employing a pre-clinical model of E. coli pneumonia, we identified significant differences in the early cellular and molecular dynamics in the lungs that likely contribute to the elevated susceptibility of neonates to bacterial pneumonia and could represent targets for intervention to improve respiratory outcomes and survivability of neonates.

Research organism: E. coli, Mouse

Introduction

During early infancy and childhood, protective effector and memory immune responses in the lungs evolve through cumulative exposure to microbial and environmental antigens (Gollwitzer et al., 2014; Kasahara et al., 2012). Because it takes time to accrue sufficient exposure to microbial antigens, children in the youngest cohorts have a higher likelihood of infection-induced severe disease, respiratory impairment, and death from pneumonia (Heron, 2019; Troeger et al., 2018; Ely and Driscoll, 2019; Chan et al., 2015). As infants age and accumulate antigenic experience, the lung’s immune responses mature and establish trained innate immunity as well as resident memory cells that allow for the timely, efficient, and robust response that can provide protection from severe disease.

This period of relative vulnerability to respiratory pathogens corresponds to a time of rapid alveolar growth; with most of this growth occurring during the first 2 years of life (Thurlbeck, 1982). Growth in the lung is accompanied by Th2-mediated tissue remodeling (Roux et al., 2011; Torow et al., 2017) that can be easily disrupted by Th1 and Th17 inflammation induced by microbial challenges. An attenuated pathogen-induced immune response may be important to allow for ongoing lung growth by minimizing cell cycle growth arrest responses and detrimental fibrotic remodeling. As such, the modified pathogen immune responses in infants may be beneficial or harmful depending on degree of virulence of the pathogen challenge (McGrath-Morrow et al., 2018; Martinez, 2016). While there are reports on the composition and functional status of alveolar macrophages, conventional dendritic cells, invariant natural killer T cells, and CD4 T cells in the neonatal lung at steady state after antigen challenge (Gollwitzer et al., 2014; Kasahara et al., 2012; Roux et al., 2011; Guilliams et al., 2013; Lee et al., 2000; Thome et al., 2016), the cellular dynamics induced by live microbial challenge in the neonatal and juvenile lungs have received limited attention. In this study, we sought to understand age-related differences in the cellular and molecular responses during the acute phase of the response induced by challenge with live Escherichia coli, a pathogen commonly associated with human neonatal pneumonia (Chisti et al., 2009; Duraes et al., 2016; Green and Kolberg, 2016; Wang et al., 2010). Employing a live-challenge model of E. coli pneumonia, we demonstrate that the cellular dynamics of innate cells in the lungs of neonatal animals markedly differs from that of juveniles. Of particular note, the lungs of neonatal mice challenged with E. coli, had both attenuated interstitial macrophage and monocyte responses that were associated with diminished MHCII-mediated responsiveness. These results reveal important new age-related differences in pathogen-induced immune responsiveness in the neonatal lungs that have implications for understanding the pathogenesis, management, and treatment of severe pneumonia in neonates.

Results

Cellular dynamics in neonatal and juvenile lungs in response to E. coli challenge

Based on experience with the live E. coli challenge model in neonatal and juvenile C57BL/6 mice (McGrath-Morrow et al., 2017), the dose chosen to study the cellular and molecular dynamics during the first 72 hr after challenge was 2.4 × 10⁶ CFUs. At this challenge level, we reproducibly achieved >90% survival in both age groups (Figure 1—figure supplement 1A), while causing demonstrable inflammation and tissue damage (Figure 1—figure supplement 1B).

Flow cytometry was used to define the changes in the CD45⁺ immune cell populations in the lungs of WT neonatal and juvenile animals at 24, 48, and 72 hr post-E. coli challenge (PEC). In neonates, E. coli exposure resulted in a rapid increase in neutrophil trafficking to the lungs that persisted through 72 hr PEC (Figure 1; Figure 2—figure supplement 1). In contrast, while neutrophils also trafficked to the lungs of juvenile mice early, they dropped to control levels by 72 hr PEC. Although the proportions of CD4 T and B cells did not significantly change during the early response in neonates and juveniles, there was a trend in both age groups for an increase in γδT cells at the later time points (Figure 1; Figure 2—figure supplement 1).

Figure 1. — Changes in the dynamics of Ly6g⁺ neutrophils, CD4⁺ T cells, B220⁺ B cells, and γδ⁺ T cells in neonatal and juvenile lungs at 24, 48, or 72 hr, post-*E. coli* challenge (PEC) as assessed by flow cytometry (see Figure 3—figure supplement 1 for gating) and expressed as the percentage of total CD45⁺ cells. Statistical differences were determined using two-way analysis of variance (ANOVA) with multiple comparisons. Error bars represent standard deviation of the mean. ns – not significant; *p < 0.05; **p < 0.005; ***p = 0.0001; ****p < 0.0001 (n = 4 group).

Figure 1—figure supplement 1. — Changes in the dynamics of Ly6g⁺ neutrophils, CD4⁺ T cells, B220⁺ B cells, and γδ⁺ T cells in neonatal and juvenile lungs at 24, 48, or 72 hr, post-*E. coli* challenge (PEC) as assessed by flow cytometry (see Figure 3—figure supplement 1 for gating) and expressed as the percentage of total CD45⁺ cells. Statistical differences were determined using two-way analysis of variance (ANOVA) with multiple comparisons. Error bars represent standard deviation of the mean. ns – not significant; *p < 0.05; **p < 0.005; ***p = 0.0001; ****p < 0.0001 (n = 4 group).

In the lungs of neonates, while live E. coli challenge resulted in early and sustained drops in the proportion of dendritic cells (Figure 2) and alveolar macrophages (Figures 2 and 3A), the numbers of these two mononuclear cell populations were elevated through 72 hr PEC (Figure 2—figure supplement 1). The different trends for the cell number and cell proportions are likely due to the large influx of neutrophils into the lungs (Figure 2—figure supplement 1). There was also a rapid drop in the proportion of dendritic cells and alveolar macrophages in the lungs of juveniles, but in contrast to neonates, these cells recovered to control levels by 72 hr PEC, albeit with a distinct alteration in surface expression of F4/80 and SiglecF, suggesting an altered activation status (Figures 2 and 3A). While the lungs from E. coli-challenged juveniles displayed a sustained expansion of the interstitial macrophage compartment, there was no change to the constitutively low levels of this cell population in neonatal lungs (Figures 2 and 3B). The dynamic changes in the levels of Ly6c expression on the surface of CD45⁺F4/80⁺CD11b⁺SiglecF⁻MHCII⁺ cells, a heterogenous population that included interstitial macrophages (Figure 3B), suggest that recruited Ly6c^hi monocytes contributed to the expansion of this compartment in juveniles in response to E. coli challenge as reported by others (Chakarov et al., 2019; Schyns et al., 2019). This putative recruited monocyte-to-interstitial macrophage transition after E. coli challenge was not observed in the neonatal lungs. Although there was a significant increase in monocytes in the juvenile lungs by 48 hr PEC, the proportion of monocytes in the neonatal lungs did not significantly change (Figure 2) despite significant changes in numbers (Figure 2—figure supplement 1). This analysis identified differences in granulocyte, lymphoid, and mononuclear cell dynamics between neonates and juveniles that might contribute to the enhanced sensitivity of neonatal animals to live E. coli challenge (McGrath-Morrow et al., 2017). Of particular note, were the disparate temporal dynamics for dendritic cells, alveolar macrophages, interstitial macrophages, and monocytes, all cells that play key roles in innate immunity, tissue repair, and initiating MHCII-mediated adaptive immune responses.

Figure 2—figure supplement 1. — Changes in the dynamics of CD11c⁺SiglecF⁻F4/80⁻MHCII^hi dendritic cells, CD11c⁺F4/80⁺SiglecF⁺ alveolar macrophages, CD11b⁺F4/80⁺SiglecF⁻ interstitial macrophages, and CD11b⁺Ly6c⁺MHCII⁺ monocytes in neonatal and juvenile lungs at 24, 48, or 72 hr, post-*E. coli* challenge (PEC) as assessed by flow cytometry (see Figure 3—figure supplement 1 for gating) and expressed as the percentage of total CD45⁺ cells. Statistical differences were determined using two-way analysis of variance (ANOVA) with multiple comparisons. Error bars represent standard deviation of the mean. ns – not significant; *p < 0.05; **p < 0.005; ***p = 0.0001; ****p < 0.0001 (n = 3 or 4/group).

Figure 3. — (A) A representative flow cytometry analysis of F4/80⁺SiglecF⁺ alveolar macrophages from *E. coli*-challenged or phosphate-buffered saline (PBS)-treated neonatal and juvenile lungs at 24, 48, and 72 hr (see Figure 3—figure supplement 1 for gating). (B) A representative flow cytometry analysis of the CD11b⁺MHCII⁺Ly6c^variable interstitial macrophage compartment from *E. coli*-challenged or PBS-treated neonatal and juvenile lungs at 24, 48, and 72 hr (see Figure 3—figure supplement 1 for gating).

Figure 3—figure supplement 1. — (A) A representative flow cytometry analysis of F4/80⁺SiglecF⁺ alveolar macrophages from *E. coli*-challenged or phosphate-buffered saline (PBS)-treated neonatal and juvenile lungs at 24, 48, and 72 hr (see Figure 3—figure supplement 1 for gating). (B) A representative flow cytometry analysis of the CD11b⁺MHCII⁺Ly6c^variable interstitial macrophage compartment from *E. coli*-challenged or PBS-treated neonatal and juvenile lungs at 24, 48, and 72 hr (see Figure 3—figure supplement 1 for gating).

Cellular dynamics in the lungs of neonatal and juvenile MHCII^−/− mice to E. coli challenge

The differences in the dynamics of dendritic cells, alveolar macrophages, interstitial macrophages, and monocytes suggest that MHCII-mediated responses might account in part for the heightened morbidity and mortality in neonates. Indeed, previous work demonstrated that blocking MHCII during LPS challenge, resulted in neonatal-like responses in the lungs of juvenile mice (McGrath-Morrow et al., 2015). With this in mind, we challenged MHCII ^−/− animals to gain an insight into the influence of MHCII-mediated cellular and molecular responses in the lungs of neonatal and juvenile animals.

The MHCII⁻^/− neonates and juveniles had 80–85% survival at the 72 hr mark after the challenge with 2.4 × 10⁶ CFUs (Figure 1—figure supplement 1C). In the lungs of MHCII^−/− neonates and juvenile there were notable levels of cellular infiltrates observed, in response to E. coli challenge (Figure 1—figure supplement 1D).

We examined the cellular immune dynamics in the lungs from neonatal and juvenile MHCII^−/− mice at 48 hr PEC; a time point chosen to represent the peak of lung inflammation induced by the E. coli challenge. The total CD45⁺ cell count significantly increased in both WT neonatal and WT juvenile lungs in response to E. coli challenge, with a substantively larger growth in the juvenile lungs (Figure 5). In contrast, CD45⁺ cell dynamics was muted in the lungs from MHCII^−/− animals. As observed in WT animals, MHCII^−/− neonates and juveniles had an increase in the percentages and numbers of neutrophils at 48 hr PEC (Figures 1, 4 and 5). Although γδT cells showed a proportional increase in the MHCII^−/− lungs (Figure 4), this was not reflected in an increase in γδT cell numbers, as seen in the WT animals (Figure 5). CD4 T cells were minimal in MHCII^−/− lungs from both age groups. The proportions and numbers of B cells, dendritic cells, and monocytes found in MHCII^−/− neonatal and juvenile lungs at 48 hr PEC were similar to those found in WT animals (Figures 1, 2, 4 and 5). Interestingly, compared to the response in WT lungs, the alveolar macrophage response to E. coli challenge remained blunted in both MHCII^−/− age groups at 48 hr, PEC. Although the proportions of interstitial macrophages and monocytes were modestly higher in both neonatal and juvenile MHCII^−/− lungs (Figure 4), these proportional increases corresponded to significant increases in cell numbers (Figure 5). Taken together, these results suggest that MHCII signaling contributes to the early regulation of proliferation and/or activation of key innate cells in the neonatal lung environment.

Figure 4. — Changes in neutrophils, CD4 T cells, B cells, γδT cells, dendritic cells, alveolar macrophages, interstitial macrophages, and monocytes in neonatal and juvenile lungs at 48 hr post-*E. coli* challenge (PEC) as assessed by flow cytometry (see Figure 3—figure supplement 1 for gating) and expressed as the percentage of total CD45⁺ cells. Statistical differences were determined using two-way analysis of variance (ANOVA) with multiple comparisons. Error bars represent standard deviation of the mean. ns – not significant; *p < 0.05; **p < 0.005; ***p = 0.0001; ****p < 0.0001 (n = 3 or 4/group).

Figure 5. — Changes in the numbers of total CD45⁺ cells, neutrophils, CD4 T cells, B cells, γδT cells, dendritic cells, alveolar macrophages, interstitial macrophages, and monocytes in neonatal and juvenile lungs at 48 hr post-*E. coli* challenge (PEC) as assessed by flow cytometry (see Figure 3—figure supplement 1 for gating). Statistical differences were determined using two-way analysis of variance (ANOVA) with Holm–Šídák post hoc test for multiple comparisons. Error bars represent standard deviation of the mean. ns – not significant; *p < 0.05; **p < 0.005; ***p = 0.0001; ****p < 0.0001 (n = 4–8/group).

Transcriptional response in neonatal and juvenile lungs to E. coli challenge

The transcriptional dynamics of select cytokine and chemokine genes were measured from whole tissue extracts to obtain insight into cell activation and trafficking differences between neonatal and juvenile lungs, after exposure to live E. coli. The proinflammatory cytokines TNF and IL-6 are induced early downstream of signaling of pattern recognition receptors (Li and Wu, 2021). While tnf and Il6 transcription was increased in neonatal and juvenile lungs from both WT and MHC^−/− animals, WT juvenile lungs had heightened responsiveness at 24 and 48 hr, PEC compared to the other groups (Figure 6). As predicted from the enhanced numbers of MHCII-positive cells (Figure 2), the WT juvenile lungs had the highest fold increase in Ciita expression at 24 and 48 hr, PEC while the lungs from WT neonates and MHCII^−/− animals had minimal expression of lung Ciita at any time point (Figure 6). The Ciita transcription pattern supports our prior findings in which we found increased expression of MHCII on bronchoalveolar lavage-derived macrophages from juvenile but not from neonatal mice, challenged with LPS (McGrath-Morrow et al., 2015). Studies have also demonstrated that a lack of pathogen-induced Ciita expression in the lungs of WT neonatal and MHCII^−/− mice is associated with lower numbers of IFNγ-producing CD4 T cells (van den Elsen et al., 1998; Steimle et al., 1994; Chang et al., 1994).

Figure 6. — Quantitative RT-PCR analysis of total RNA isolated from the lungs of WT and MHCII^−/− neonates and juveniles at 24, 48, and 72 hr post-*E. coli* challenge for changes in expression of class II major histocompatibility complex, transactivator (*Ciita*), tumor necrosis factor (*Tnf*), interleukin 6 (*Il6*), C-X-C motif chemokine ligand 10 (*Cxcl10*), C-C motif chemokine ligand 4 (*Ccl4*), C-C motif chemokine ligand 2 (*Ccl2*), C-C motif chemokine ligand 20 (*Ccl20*), and C-X-C motif chemokine ligand 1 (*Cxcl1*). Data present as fold change over the value for the corresponding age/genetic background phosphate-buffered saline (PBS) controls. Points represent means of the values from 3 to 5 animals per group (error bars represent standard error of the mean). Statistical significance between groups were determined using one-way analysis of variance (ANOVA) with multiple comparisons. *p < 0.01, **p < 0.004, ***p < 0.001.

In support of the idea that low Ciita expression might be linked to low IFNγ production, the transcription of IFN-inducible genes Cxcl10 were Ccl4 were minimal in response to E. coli challenge in WT neonatal and MHCII^−/− animals (Figure 6). However, other IFN-inducible genes – Ccl2, Ccl20, and Cxcl1 – showed patterns of expression that suggested that additional factors contribute to the transcriptional regulation of these chemokine genes during the early stages of the innate response to E. coli challenge. Cxcl1, a Th17-associated chemokine involved in neutrophil migration and NFkβ activation (Cai et al., 2010; Jin et al., 2014), and Ccl2(Mcp1), a monocyte chemoattractant induced by the NFkβ pathway (Bawazeer and Theoharides, 2019), were also upregulated in MHCII^−/− juvenile lungs at 24 hr PEC (Figure 6). Interestingly, the fold changes in Ccl20 transcription, PEC were substantially lower in WT juvenile lungs compared to WT neonates or MHCII^−/− neonates and juveniles. In addition to its direct antibacterial properties (Starner et al., 2003), endothelial cell-derived CCL20 is reported to be chemotactic for CCR6⁺ lymphocytes and dendritic cells and to play key roles in innate and adaptive inflammation at barrier surfaces (Lee et al., 2013). The early robust induction of Ccl20 in WT neonate and MHCII^−/− lungs suggests a role for MHCII-mediated signaling in controlling the level of Ccl20 transcription.

Discussion

This study employed a murine model of bacterial pneumonia during infancy to examine age-related differences in the induction of lung immunity. The early responses of neonates and juveniles to live E. coli challenge were marked by substantial differences in the temporal dynamics for dendritic and mononuclear cells. Within 24 hr of PEC, there were significant reductions in both dendritic cells and alveolar macrophages that persisted in the neonatal lung but trended toward recovery to control levels by 72 hr PEC in the lungs from juveniles (Figure 2). Conventional dendritic cells are a prominent cell population during the first weeks of life in the mouse lungs that exhibit an activation profile that differs from adult-derived lung DCs by being strong inducers of Th2 immune responses (Gollwitzer et al., 2014). Colonization by the microbiota induces PD-L1 (programmed cell-death ligand 1) on neonatal lung dendritic cells, which endows them with the capacity to induce regulatory T cells (Gollwitzer et al., 2014). It is not clear if the persistent (neonates) or transient (juvenile) reductions observed here for dendritic cells and alveolar macrophages were due to cell death, emigration to local lymph nodes, or activation-associated changes in surface phenotype.

Lung macrophages are comprised of two major populations that occupy distinct anatomical compartments. Alveolar macrophages reside in the bronchoalveolar space and alveoli where these tissue resident cells function in regulating surfactant production, maintenance of epithelial barrier integrity, efferocytosis, and removal of inhaled particles (Bain and MacDonald, 2022). In addition, they have traditionally been designated as a first-line defense against air-borne pathogens, however, with the recent appreciation that recruited monocyte-derived macrophages are major contributors to the innate defense against microbial exposure, this aspect of alveolar macrophage function is under assessment (Aegerter et al., 2020; Liao et al., 2020). The significantly less abundant interstitial macrophages are located in the interstitial spaces between the alveoli and the capillaries as well as in the interstitial environment surrounding conducting airways where they interact with stromal and other innate cells and play roles in inflammation (Chakarov et al., 2019; Schyns et al., 2019) and immunoregulation (Ural et al., 2020).

As noted, there was a significant reduction of alveolar macrophages at 24 hr PEC that persisted in neonatal lungs but was only transient in juvenile lungs (Figure 2). Acute loss of tissue resident macrophages at the early stages of inflammation, an occurrence referred to as ‘macrophage disappearance reaction’, has been described for peritoneal macrophages (Barth et al., 1995; Louwe et al., 2021) and in the lungs after LPS or CpG DNA challenge (Bain and MacDonald, 2022; Sabatel et al., 2017). Interestingly, in these studies the transient loss of alveolar macrophages was accompanied by an expansion of interstitial macrophages (Bain and MacDonald, 2022; Sabatel et al., 2017), similar to that seen in the lungs of WT juveniles challenged with live E. coli (Figures 2 and 5).

A notable aspect of the cellular dynamics that distinguished the neonatal response from that of the juveniles was the striking differential in the numbers of interstitial macrophages (Figures 2 and 5). Current evidence indicates that at steady state, interstitial macrophages are maintained through slow replacement by monocytes that take up residency in the lungs (Chakarov et al., 2019; Schyns et al., 2019) and that a majority of the increase observed during inflammation is due to monocyte recruitment from the peripheral circulation (Huang et al., 2018). Thus, the interstitial macrophage levels are directly connected to the monocyte response, which was more robust in the lungs from juvenile animals. A majority of the increases in interstitial macrophages in juvenile lungs were made up of MHCII^hi cells (data not shown) which supports the idea that they were derived from recruited monocytes (Chakarov et al., 2019; Schyns et al., 2019) and could provide a cellular context for the increased Ciita expression observed in the whole lungs from juveniles. Given their role in the clearing of live bacterial challenges (Pisu et al., 2021), the apparent lack of interstitial macrophage development in the neonatal lungs could be a contributing factor to the lower ability of neonates to clear a bacteria from the lung in a timely fashion and resolve inflammation (McGrath-Morrow et al., 2017).

The attenuated dynamics of MHCII-expressing mononuclear cells observed for neonates in this study likely contributes to the reported differences in MHCII-associated responsiveness between neonates and juveniles. Lee et al., 2001 found that IFNγ-induced MHCII expression was attenuated in neonatal macrophages. LPS exposure significantly induced expression of MHCII in juvenile but not in neonatal peritoneal macrophages (McGrath-Morrow et al., 2015) and aspiration of LPS resulted in increased MHCII on and Ciita expression by bronchoalveolar lavage-derived mononuclear cells from juvenile but not from neonatal lungs (McGrath-Morrow et al., 2015). This reduced presence of MHCII-expressing cells might also have contributed to the reduced T cell responsiveness and diminished cytokine gene expression after live E. coli challenge. In general, there was an elevated transcription of tnf, Il6, and IFNγ-responsive genes in WT juvenile compared to WT neonatal and MHCII^−/− lungs (Figure 6). It is interesting to note that the responses in the lungs from juvenile MHCII^−/− animals at 48 hr PEC resembled the responses induced in the lungs from WT neonatal animals suggesting that restricted MHCII-associated signaling plays a key role in shaping the response in the neonatal lung. Studies carried out at the single-cell level will likely be required to determine the relative contributions of MHCII⁺ mononuclear cell dynamics, the inherent propensity of CD4 T cells from juvenile mice to express Th1-associated cytokines upon E. coli challenge (McGrath-Morrow et al., 2018), or other factors in the differential responsiveness in neonatal and juvenile lungs.

Ideas and speculation – It is possible that the attenuated inflammatory response of the neonate has some survival advantages. An overly robust immune response in the neonatal lung could disrupt essential growth dynamics during early postnatal lung development such that blunted responsiveness to pathogens during periods of rapid growth may be important in minimizing disruption to organogenesis while maintaining essential homeostatic and cellular processes. With a better understanding of the innate and adaptive responses in the neonatal lung environment it might be possible to devise interventions that transiently and strategically boost immune responsiveness in the neonate to improve respiratory outcomes to microbial challenge while minimizing the disruption to lung development. The findings reported here underscored differences in the cellular and molecular responses to live E. coli challenge that could contribute to the increased morbidity and mortality observed in neonates when challenged with a respiratory pathogen.

Methods

Key resources table.

Reagent type (species) or resource	Designation	Source or reference	Identifiers	Additional information
Strain, strain background (Mus musculus)	B6;129S2-H2^dlAb1-Ea/J	Jackson Laboratory	Strain #003584
Antibody	B220/AF488 (Rat monoclonal)	Biolegend	Cat# 103228	IgG2a (clone RA3-6B2) used at 1/100
Antibody	CD25/PE (Rat polyclonal)	BD	Cat# 561065	IgG1 used at 1/50
Antibody	CD64/PEcy7 (Mouse monoclonal)	Biolegend	Cat# 139314	X54-5/7 used at 1/100
Antibody	CD11b/PE-CF594 (Rat monoclonal)	BD	Cat# 562317	M1/70 IgG2b used at 1/50
Antibody	CD4/BB700 (Rat monoclonal)	BD	Cat# 566408	RM4-5 IgG2a used at 1/50
Antibody	CD11c/APC-R700 (Hamster monoclonal)	BD	Cat# 565872	N418 IgG2 used at 1/40
Antibody	PD-1/APC-AF647 (Rat monoclonal)	Biolegend	Cat# 135209	29F-1A12 IgG2a used at 1/30
Antibody	MHCII/APC-Cy7 (Rat monoclonal)	Biolegend	Cat# 107627	M5/114.15.2 IgG2b used at 1/50
Antibody	SigF/BV421 (Rat monoclonal)	BD	Cat# 562681	E50-2440 IgG2a used at 1/50
Antibody	Ly6G/BV510 (Rat monoclonal)	BD	Cat# 740157	1A8 IgG2a used at 1/50
Antibody	Ly6C/BV605 (Rat monoclonal)	BD	Cat# 128036	HK1.4 IgG2c used at 1/100
Antibody	F4/80/BV650 (Rat monoclonal)	BD	Cat# 743282	T45.2342 IgG2a used at 1/20
Antibody	CD3/BV711 (Hamster monoclonal)	BD	Cat# 563123	145-2C11 IgG1 used at 1/40
Antibody	ITCRgd/BV786/SB780 (Hamster monoclonal)	Invitrogen	Cat# 78-5711-82	GL3 IgG used at 1/30
Antibody	Cd45/BUV395 (Rat monoclonal)	BD	Cat# 564279	30-F11 IgG2b used at 1/50
Antibody	CD8/BUV737 (Rat monoclonal)	BD	Cat# 564297	5306.7 IgG2a used at 1/40

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Mice

Timed pregnant C57BL/6NJ mice were obtained from NCI (Bethesda, MD). Animals were maintained on an AIN 76A diet and water ad libitum and housed at a temperature range of 20–23°C under 12 hr light/dark cycles. All experiments were conducted in accordance with the standards established by the United States Animal Welfare Acts, set forth in NIH guidelines and the Policy and Procedures Manual of the Johns Hopkins University Animal Care and Use Committee (ACUC), protocol # MO16M213. MHCII-knockout mice on a B6 background were obtained from The Jackson Laboratory (B6;129S2-H2^dlAb1-Ea/JStock No:003374 | MHC II⁻).

Directly observed aspiration of E. coli

Pups were lightly sedated with isoflurane prior to E. coli (Seattle 1946, serotype O6, ATCC 25922) aspiration. Mice were given 2.4 × 10⁶ CFUs of E. coli in phosphate-buffered saline (PBS) or PBS alone. Forceps were used to gently extract the tongue, liquid was deposited in the pharynx and aspiration of fluid was directly visualized as previously described (McGrath-Morrow et al., 2015). Neonatal mice (PND 3–5) received 10 µl of fluid and juvenile mice (PND 12–18) received 15 µl of fluid.

Optical density measurements

Neonate and juvenile mice were aspirated with 2.4 × 10⁶ CFUs of E. coli or PBS alone. Mice were then sacrificed immediately post-dosage and their lungs were harvested. Each set of lungs was briefly washed in PBS and then minced using a razor blade. Minced tissue samples were then individually collected into 1 ml of sterile PBS and homogenized using a mechanical rotor homogenizer. A 50 µl droplet of homogenate was then plated onto an LB agar plate, and grown at 30°C for 10 hr, overnight. Remaining homogenate was then used for DNA isolation. The next morning, plates were removed from incubator and droplets were scraped off using a sterile inoculating loop and suspended in 1 ml of sterile LB media. Samples were appropriately diluted to measure the cell density in the sample. This was determined using a spectrophotometer to measure the OD600 (optical density at 600 nM wavelength) for each sample. OD600 absorbance values were then averaged among both age and treatment. E. coli treated samples were then normalized to their age-matched vehicle controls and fold difference was measured as an indicator of increased presence of pathogens. OD600 absorbance values were also normalized for lung weight (Figure 1—figure supplement 2). No significant differences between OD600 absorbance values were found between the juvenile and neonatal mice aspirated with E. coli at Time₀, indicating similar bacterial burden between the two age groups.

Flow cytometry: lung single-cell suspension preparation

The lung was harvested, chopped to small pieces with a razor blade, and suspended in 1 ml of a buffer containing 1.0 mg DNAse 1 (Sigma) and 5.0 mg collagenase II (Worthington Biochem) in 1 ml RPMI. After incubating at 37°C for 30 min, an 18-gauge needle was used to further break up the lung tissue before passing the sample through a 70-μm cell strainer, into a 50-ml conical tube. PBS was added and the sample was centrifuged at 500 × g for 5 min. The supernatant was discarded, and 1–2 ml of Ack lysing buffer was added and incubated at room temperature for 5 min. PBS was added to stop the reaction (3× to 5× the volume). The lung sample was then filtered through a 70-μm cell strainer into new 50-ml conical tube and spun down at 500 × g for 5 min. FACS buffer was added (3–5 ml depending on the pellet size) and the cells were counted using a Bio-Rad TC20 automated cell counter.

Cells were stained for viability using Live/Dead blue, UV (Invitrogen, L23105) and then with CD16/CD32 (BD Biosciences, 553142) to block Fc receptors. The cells were then stained with the following antibodies/fluorochromes: B220/AF488 (Biolegend, 103228), CD25/PE (BD, 561065), CD64/PEcy7 (Biolegend, 139314), CD11b/PE-CF594 (BD, 562317), CD4/BB700 (BD, 566408), CD11c/APC-R700 (BD, 565872), PD-1/APC-AF647 (Biolegend, 135209), MHC II/APC-Cy7 (Biolegend, 107627), SigF/BV421 (BD, 562681), Ly6G/BV510 (BD, 740157), Ly6C/BV605 (BD 128036), F4/80/BV650 (BD, 743282), CD3/BV711 (BD, 563123), lTCR gd/BV786/SB780 (Invitrogen, 78-5711-82), CD45/BUV395 (BD, 564279), and CD8/BUV737 (BD, 564297). Flow cytometry was performed using a BD Fortessa equipped with five lasers. The gating strategy used to identify lymphoid and myeloid cell populations is outlined in Figure 3—figure supplement 1.

Quantitative RT-PCR

Total RNA was isolated from whole lung at 24, 48, and 72 hr PEC and analyzed as outlined previously (McGrath-Morrow et al., 2015). Reverse transcription was performed using total RNA and processed with the SuperScript first-strand synthesis system for RT-PCR according to the manufacturer’s protocol (Invitrogen). Quantitative RT-PCR was performed using the Applied Biosystems (Foster City, CA) TaqMan assay system, as previously described (McGrath-Morrow et al., 2015). Probes and primers were designed and synthesized by Applied Biosystems. The GADPH gene was used for an internal endogenous control. The following primer–probe sets were used: Ccl2 (Mm00441242_m1), Ccl4 (Mm00443111_m1), Ccl20 (Mm01268754_m1), Ciita (Mm00482914_m1), Cxcl1 (Mm04207460_m1), Cxcl10 (Mm00445235_m1), Il6 (Mm00446190_m1), and Tnfα (Mm00443258_m1).

Statistical analysis

Differences in measured variables between treated and control groups were determined using two-way analysis of variance with or without Holm–Šídák post hoc test for multiple comparisons. The number of animals in each group was based on experience and methodological constraints. Comparison of survival curves were determined using log-rank (Mantel–Cox) test. Statistical significance was accepted at p < 0.05. Error bars represent standard error of the mean.

Funding Statement

The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.

Contributor Information

Sharon A McGrath-Morrow, Email: mcgrathmos@chop.edu.

Paul W Noble, Cedars-Sinai Medical Center, United States.

Funding Information

This paper was supported by the following grants:

National Heart, Lung, and Blood Institute HL114800 to Sharon A McGrath-Morrow.
National Heart, Lung, and Blood Institute HL-140623 to Alan L Scott.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Writing - original draft, Project administration, Writing - review and editing.

Visualization, Methodology, Writing - review and editing.

Methodology, Writing - review and editing.

Conceptualization, Visualization, Methodology, Writing - review and editing.

Formal analysis, Visualization, Methodology.

Conceptualization, Methodology, Writing - review and editing.

Methodology, Writing - review and editing.

Formal analysis, Supervision, Methodology, Writing - original draft, Writing - review and editing.

Formal analysis, Supervision, Writing - original draft.

Ethics

All experiments were conducted in accordance with the standards established by the United States Animal Welfare Acts, set forth in NIH guidelines and the Policy and Procedures Manual of the Johns Hopkins University Animal Care and Use Committee (ACUC), protocol # MO16M213.

Additional files

MDAR checklist

elife-82933-mdarchecklist1.docx^{(99.5KB, docx)}

Data availability

Data generated for this study are available through the FlowRepository archive (https://flowrepository.org) under accession numbers FR-FCM-Z63A and FR-FCM-Z63B.

The following datasets were generated:

McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile mice in response to E. coli. FlowRepository. FR-FCM-Z63A

McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile WT C57BL/6J in response to E. coli. FlowRepository. FR-FCM-Z63B

References

Aegerter H, Kulikauskaite J, Crotta S, Patel H, Kelly G, Hessel EM, Mack M, Beinke S, Wack A. Influenza-induced monocyte-derived alveolar macrophages confer prolonged antibacterial protection. Nature Immunology. 2020;21:145–157. doi: 10.1038/s41590-019-0568-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
Bain CC, MacDonald AS. The impact of the lung environment on macrophage development, activation and function: diversity in the face of adversity. Mucosal Immunology. 2022;15:223–234. doi: 10.1038/s41385-021-00480-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
Barth MW, Hendrzak JA, Melnicoff MJ, Morahan PS. Review of the macrophage disappearance reaction. Journal of Leukocyte Biology. 1995;57:361–367. doi: 10.1002/jlb.57.3.361. [DOI] [PubMed] [Google Scholar]
Bawazeer MA, Theoharides TC. IL-33 stimulates human mast cell release of CCL5 and CCL2 via MAPK and NF-κB, inhibited by methoxyluteolin. European Journal of Pharmacology. 2019;865:172760. doi: 10.1016/j.ejphar.2019.172760. [DOI] [PubMed] [Google Scholar]
Cai S, Batra S, Lira SA, Kolls JK, Jeyaseelan S. CXCL1 regulates pulmonary host defense to Klebsiella Infection via CXCL2, CXCL5, NF-kappaB, and MAPKs. Journal of Immunology. 2010;185:6214–6225. doi: 10.4049/jimmunol.0903843. [DOI] [PMC free article] [PubMed] [Google Scholar]
Chakarov S, Lim HY, Tan L, Lim SY, See P, Lum J, Zhang XM, Foo S, Nakamizo S, Duan K, Kong WT, Gentek R, Balachander A, Carbajo D, Bleriot C, Malleret B, Tam JKC, Baig S, Shabeer M, Toh S, Schlitzer A, Larbi A, Marichal T, Malissen B, Chen J, Poidinger M, Kabashima K, Bajenoff M, Ng LG, Angeli V, Ginhoux F. Two distinct interstitial macrophage populations coexist across tissues in specific Subtissular niches. Science. 2019;363:eaau0964. doi: 10.1126/science.aau0964. [DOI] [PubMed] [Google Scholar]
Chan JYC, Stern DA, Guerra S, Wright AL, Morgan WJ, Martinez FD. Pneumonia in childhood and impaired lung function in adults: a longitudinal study. Pediatrics. 2015;135:607–616. doi: 10.1542/peds.2014-3060. [DOI] [PMC free article] [PubMed] [Google Scholar]
Chang CH, Fontes JD, Peterlin M, Flavell RA. Class II transactivator (CIITA) is sufficient for the inducible expression of major histocompatibility complex class II genes. The Journal of Experimental Medicine. 1994;180:1367–1374. doi: 10.1084/jem.180.4.1367. [DOI] [PMC free article] [PubMed] [Google Scholar]
Chisti MJ, Tebruegge M, La Vincente S, Graham SM, Duke T. Pneumonia in severely malnourished children in developing countries - mortality risk, aetiology and validity of WHO clinical signs: a systematic review. Tropical Medicine & International Health. 2009;14:1173–1189. doi: 10.1111/j.1365-3156.2009.02364.x. [DOI] [PubMed] [Google Scholar]
Duraes MI, Flor-DE-Lima F, Rocha G, Soares H, Guimaraes H. Morbidity and mortality of Preterm infants less than 26 weeks of gestational age. Minerva Pediatrica. 2016;71:12–20. doi: 10.23736/S0026-4946.16.04609-0. [DOI] [PubMed] [Google Scholar]
Ely DM, Driscoll AK. Infant mortality in the United States, 2017: data from the period linked birth/infant death file. National Vital Statistics System. 2019;68:1–20. [PubMed] [Google Scholar]
Gollwitzer ES, Saglani S, Trompette A, Yadava K, Sherburn R, McCoy KD, Nicod LP, Lloyd CM, Marsland BJ. Lung microbiota promotes tolerance to allergens in neonates via PD-L1. Nature Medicine. 2014;20:642–647. doi: 10.1038/nm.3568. [DOI] [PubMed] [Google Scholar]
Green RJ, Kolberg JM. Neonatal pneumonia in sub-Saharan Africa. Pneumonia. 2016;8:3. doi: 10.1186/s41479-016-0003-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
Guilliams M, De Kleer I, Henri S, Post S, Vanhoutte L, De Prijck S, Deswarte K, Malissen B, Hammad H, Lambrecht BN. Alveolar macrophages develop from fetal monocytes that differentiate into long-lived cells in the first week of life via GM-CSF. The Journal of Experimental Medicine. 2013;210:1977–1992. doi: 10.1084/jem.20131199. [DOI] [PMC free article] [PubMed] [Google Scholar]
Heron M. Deaths: leading causes for 2017. National Vital Statistics Reports. 2019;68:1–77. [PubMed] [Google Scholar]
Huang L, Nazarova EV, Tan S, Liu Y, Russell DG. Growth of Mycobacterium Tuberculosis in vivo segregates with host macrophage metabolism and ontogeny. The Journal of Experimental Medicine. 2018;215:1135–1152. doi: 10.1084/jem.20172020. [DOI] [PMC free article] [PubMed] [Google Scholar]
Jin L, Batra S, Douda DN, Palaniyar N, Jeyaseelan S. CXCL1 contributes to host defense in polymicrobial sepsis via modulating T cell and neutrophil functions. Journal of Immunology. 2014;193:3549–3558. doi: 10.4049/jimmunol.1401138. [DOI] [PMC free article] [PubMed] [Google Scholar]
Kasahara K, Matsumura Y, Ui K, Kasahara K, Komatsu Y, Mikasa K, Kita E. Intranasal priming of newborn mice with microbial extracts increases opsonic factors and mature CD11c+ cells in the airway. American Journal of Physiology. Lung Cellular and Molecular Physiology. 2012;303:L834–L843. doi: 10.1152/ajplung.00031.2012. [DOI] [PubMed] [Google Scholar]
Lee PT, Holt PG, McWilliam AS. Role of alveolar Macrophages in innate immunity in neonates: evidence for selective lipopolysaccharide binding protein production by rat neonatal alveolar macrophages. American Journal of Respiratory Cell and Molecular Biology. 2000;23:652–661. doi: 10.1165/ajrcmb.23.5.4016. [DOI] [PubMed] [Google Scholar]
Lee PT, Holt PG, McWilliam AS. Failure of MHC class II expression in neonatal alveolar macrophages: potential role of class II transactivator. European Journal of Immunology. 2001;31:2347–2356. doi: 10.1002/1521-4141(200108)31:8<2347::aid-immu2347>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]
Lee AYS, Eri R, Lyons AB, Grimm MC, Korner H. CC chemokine ligand 20 and its cognate receptor CCR6 in mucosal T cell Immunology and inflammatory bowel disease: odd couple or axis of evil? Frontiers in Immunology. 2013;4:194. doi: 10.3389/fimmu.2013.00194. [DOI] [PMC free article] [PubMed] [Google Scholar]
Li D, Wu M. Pattern recognition receptors in health and diseases. Signal Transduction and Targeted Therapy. 2021;6:291. doi: 10.1038/s41392-021-00687-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
Liao M, Liu Y, Yuan J, Wen Y, Xu G, Zhao J, Cheng L, Li J, Wang X, Wang F, Liu L, Amit I, Zhang S, Zhang Z. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nature Medicine. 2020;26:842–844. doi: 10.1038/s41591-020-0901-9. [DOI] [PubMed] [Google Scholar]
Louwe PA, Badiola Gomez L, Webster H, Perona-Wright G, Bain CC, Forbes SJ, Jenkins SJ. Recruited macrophages that colonize the post-inflammatory peritoneal niche convert into functionally divergent resident cells. Nature Communications. 2021;12:1770. doi: 10.1038/s41467-021-21778-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
Martinez FD. Early-life origins of chronic obstructive pulmonary disease. The New England Journal of Medicine. 2016;375:871–878. doi: 10.1056/NEJMra1603287. [DOI] [PubMed] [Google Scholar]
McGrath-Morrow SA, Lee S, Gibbs K, Lopez A, Collaco JM, Neptune E, Soloski MJ, Scott A, D’Alessio F. Immune response to intrapharyngeal LPS in neonatal and juvenile mice. American Journal of Respiratory Cell and Molecular Biology. 2015;52:323–331. doi: 10.1165/rcmb.2014-0100OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
McGrath-Morrow SA, Ndeh R, Collaco JM, Poupore AK, Dikeman D, Zhong Q, Singer BD, D’Alessio F, Scott A. The innate immune response to lower respiratory tract E. coli infection and the role of the CCL2-CCR2 axis in neonatal mice. Cytokine. 2017;97:108–116. doi: 10.1016/j.cyto.2017.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
McGrath-Morrow SA, Ndeh R, Helmin KA, Chen SY, Anekalla KR, Abdala-Valencia H, D’Alessio FR, Collaco JM, Singer BD. DNA methylation regulates the neonatal CD4+ T-cell response to pneumonia in mice. The Journal of Biological Chemistry. 2018;293:11772–11783. doi: 10.1074/jbc.RA118.003589. [DOI] [PMC free article] [PubMed] [Google Scholar]
Pisu D, Huang L, Narang V, Theriault M, Lê-Bury G, Lee B, Lakudzala AE, Mzinza DT, Mhango DV, Mitini-Nkhoma SC, Jambo KC, Singhal A, Mwandumba HC, Russell DG. Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. The Journal of Experimental Medicine. 2021;218:e20210615. doi: 10.1084/jem.20210615. [DOI] [PMC free article] [PubMed] [Google Scholar]
Roux X, Remot A, Petit-Camurdan A, Nahori MA, Kiefer-Biasizzo H, Marchal G, Lagranderie M, Riffault S. Neonatal lung immune responses show a shift of cytokines and transcription factors toward Th2 and a deficit in conventional and plasmacytoid dendritic cells. European Journal of Immunology. 2011;41:2852–2861. doi: 10.1002/eji.201041224. [DOI] [PubMed] [Google Scholar]
Sabatel C, Radermecker C, Fievez L, Paulissen G, Chakarov S, Fernandes C, Olivier S, Toussaint M, Pirottin D, Xiao X, Quatresooz P, Sirard JC, Cataldo D, Gillet L, Bouabe H, Desmet CJ, Ginhoux F, Marichal T, Bureau F. Exposure to bacterial Cpg DNA protects from airway allergic inflammation by expanding regulatory lung interstitial Macrophages. Immunity. 2017;46:457–473. doi: 10.1016/j.immuni.2017.02.016. [DOI] [PubMed] [Google Scholar]
Schyns J, Bai Q, Ruscitti C, Radermecker C, De Schepper S, Chakarov S, Farnir F, Pirottin D, Ginhoux F, Boeckxstaens G, Bureau F, Marichal T. Non-classical tissue monocytes and two functionally distinct populations of interstitial macrophages populate the mouse lung. Nature Communications. 2019;10:3964. doi: 10.1038/s41467-019-11843-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
Starner TD, Barker CK, Jia HP, Kang Y, McCray PB. CCL20 is an inducible product of human airway epithelia with innate immune properties. American Journal of Respiratory Cell and Molecular Biology. 2003;29:627–633. doi: 10.1165/rcmb.2002-0272OC. [DOI] [PubMed] [Google Scholar]
Steimle V, Siegrist CA, Mottet A, Lisowska-Grospierre B, Mach B. Regulation of MHC class II expression by interferon-gamma mediated by the transactivator gene CIITA. Science. 1994;265:106–109. doi: 10.1126/science.8016643. [DOI] [PubMed] [Google Scholar]
Thome JJC, Bickham KL, Ohmura Y, Kubota M, Matsuoka N, Gordon C, Granot T, Griesemer A, Lerner H, Kato T, Farber DL. Early-life compartmentalization of human T cell differentiation and regulatory function in mucosal and lymphoid tissues. Nature Medicine. 2016;22:72–77. doi: 10.1038/nm.4008. [DOI] [PMC free article] [PubMed] [Google Scholar]
Thurlbeck WM. Postnatal human lung growth. Thorax. 1982;37:564–571. doi: 10.1136/thx.37.8.564. [DOI] [PMC free article] [PubMed] [Google Scholar]
Torow N, Marsland BJ, Hornef MW, Gollwitzer ES. Neonatal mucosal immunology. Mucosal Immunology. 2017;10:5–17. doi: 10.1038/mi.2016.81. [DOI] [PubMed] [Google Scholar]
Troeger C, Blacker B, Khalil IA, Rao PC, Cao J, Zimsen SRM, Albertson SB, Deshpande A, Farag T, Abebe Z, Adetifa IMO, Adhikari TB, Akibu M, Al Lami FH, Al-Eyadhy A, Alvis-Guzman N, Amare AT, Amoako YA, Antonio CAT, Aremu O, Asfaw ET, Asgedom SW, Atey TM, Attia EF, Avokpaho EFGA, Ayele HT, Ayuk TB, Balakrishnan K, Barac A, Bassat Q, Behzadifar M, Behzadifar M, Bhaumik S, Bhutta ZA, Bijani A, Brauer M, Brown A, Camargos PAM, Castañeda-Orjuela CA, Colombara D, Conti S, Dadi AF, Dandona L, Dandona R, Do HP, Dubljanin E, Edessa D, Elkout H, Endries AY, Fijabi DO, Foreman KJ, Forouzanfar MH, Fullman N, Garcia-Basteiro AL, Gessner BD, Gething PW, Gupta R, Gupta T, Hailu GB, Hassen HY, Hedayati MT, Heidari M, Hibstu DT, Horita N, Ilesanmi OS, Jakovljevic MB, Jamal AA, Kahsay A, Kasaeian A, Kassa DH, Khader YS, Khan EA, Khan MN, Khang Y-H, Kim YJ, Kissoon N, Knibbs LD, Kochhar S, Koul PA, Kumar GA, Lodha R, Magdy Abd El Razek H, Malta DC, Mathew JL, Mengistu DT, Mezgebe HB, Mohammad KA, Mohammed MA, Momeniha F, Murthy S, Nguyen CT, Nielsen KR, Ningrum DNA, Nirayo YL, Oren E, Ortiz JR, Pa M, Postma MJ, Qorbani M, Quansah R, Rai RK, Rana SM, Ranabhat CL, Ray SE, Rezai MS, Ruhago GM, Safiri S, Salomon JA, Sartorius B, Savic M, Sawhney M, She J, Sheikh A, Shiferaw MS, Shigematsu M, Singh JA, Somayaji R, Stanaway JD, Sufiyan MB, Taffere GR, Temsah M-H, Thompson MJ, Tobe-Gai R, Topor-Madry R, Tran BX, Tran TT, Tuem KB, Ukwaja KN, Vollset SE, Walson JL, Weldegebreal F, Werdecker A, West TE, Yonemoto N, Zaki MES, Zhou L, Zodpey S, Vos T, Naghavi M, Lim SS, Mokdad AH, Murray CJL, Hay SI, Reiner RC. Estimates of the global, regional, and national morbidity, mortality, and Aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the global burden of disease study 2016. The Lancet Infectious Diseases. 2018;18:1191–1210. doi: 10.1016/S1473-3099(18)30310-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
Ural BB, Yeung ST, Damani-Yokota P, Devlin JC, de Vries M, Vera-Licona P, Samji T, Sawai CM, Jang G, Perez OA, Pham Q, Maher L, Loke P, Dittmann M, Reizis B, Khanna KM. Identification of a nerve-associated, lung-resident interstitial macrophage subset with distinct localization and immunoregulatory properties. Science Immunology. 2020;5:eaax8756. doi: 10.1126/sciimmunol.aax8756. [DOI] [PMC free article] [PubMed] [Google Scholar]
van den Elsen PJ, Gobin SJ, van Eggermond MC, Peijnenburg A. Regulation of MHC class I and II gene transcription: differences and similarities. Immunogenetics. 1998;48:208–221. doi: 10.1007/s002510050425. [DOI] [PubMed] [Google Scholar]
Wang H, Tang J, Xiong Y, Li X, Gonzalez F, Mu D. Neonatal community-acquired pneumonia: pathogens and treatment. Journal of Paediatrics and Child Health. 2010;46:668–672. doi: 10.1111/j.1440-1754.2010.01814.x. [DOI] [PubMed] [Google Scholar]

eLife. doi: 10.7554/eLife.82933.sa0

Editor's evaluation

Paul W Noble ¹

The authors use a model of neonatal E. coli pneumonia to study differences between early neonates ad juvenile animals. They observe increased monocyte-derived macrophage recruitment in juveniles compared to neonates as well as an increase in IFNΓ-related genes. The data are of potential interest and will advance the field.

eLife. doi: 10.7554/eLife.82933.sa1

Decision letter

Editor: Paul W Noble¹

Reviewed by: Paul W Noble²

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Cellular and molecular dynamics in the lungs of neonatal and juvenile mice in response to E. coli" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, including Paul Noble as the Reviewing and Senior Editor and Reviewer #2.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

Please address the comments provided by reviewer #1

1. The authors would need to provide lung CFU to show they are comparable at both ages as well as the rates of bacteremia (can be assayed by splenic CFU) to make sure the neonatal and juvenile models are truly comparable at the times measurements were made.

2. It is unclear if the lung flow cytometry was performed with the now standard IV anti-CD45 technique developed by the Masopust lab a decade ago to exclude blood contamination. Also the flow cytometry should be detected as both percentages and absolute counts. It is unclear what the authors are calling interstitial macrophages. Many labs are performing IV anti-CD45 and IT anti-CD45 (using a different fluorophore) to define interstitial cells as those that are not labeled with this technique. It appears to the authors are using a set of markers to define these "interstitial" cells and if so that should be clearly stated in the results without the reader having to skip ahead to methods.

3. Given the potential defect in IFNΓ downstream genes, did the authors do ICS to look at IFNΓ+ γ δ T cells or NK cells and are these responses defective?

4. The transcriptional data would need to also be controlled for CFU or at least E. coli rRNA to avoid epiphenomena due to higher (or lower) bacterial burdens. Are there differences in MCP1, 3, or 5 that would potentially explain the defect in monocyte/macrophage recruitment.

5. Class II MHC KO mice and humans (bare lymphocyte syndrome) lack CD4⁺ T cells (including Tregs) so the data in the KO would be clearly impacted by this. One could deplete CD4⁺ T cells with GK1.5 to see how much is the lack of CD4⁺ T cells versus

Reviewer #1 (Recommendations for the authors):

3. Given the potential defect in IFNΓ downstream genes, did the authors do ICS to look at IFNΓ+ γ δ T cells or NK cells and are these responses defective?

Reviewer #2 (Recommendations for the authors):

This is a very well performed study examining the impact of live E. coli infection on the inflammatory and immune response in neonatal and juvenile mouse lungs. The experiments are well performed and the conclusions are supported by the data. The study will inform future studies in this important area of investigation.

eLife. 2023 Jun 2;12:e82933. doi: 10.7554/eLife.82933.sa2

Author response

Essential revisions:

Please address the comments provided by reviewer #1

Comment 1. The authors would need to provide lung CFU to show they are comparable at both ages as well as the rates of bacteremia (can be assayed by splenic CFU) to make sure the neonatal and juvenile models are truly comparable at the times measurements were made and Comment 4. The transcriptional data would need to also be controlled for CFU or at least E. coli rRNA to avoid epiphenomena due to higher (or lower) bacterial burdens.

Please see responses below that addresses comments 1 and 3.

We appreciate the reviewer’s concern that CFU aspiration of E. coli bacteria into different age groups may elicit different immune responses. The purpose of this study was to identify age-related differences in cellular and molecular dynamics between neonates and juveniles. Multiple factors can affect CFU deposition in the lungs of mice. In this model each mouse was aspirated with either E. coli in PBS or PBS alone, while spontaneously breathing under light sedation. By allowing spontaneous breathing in this model, mice were able to aspirate volumes based on the negative pressure generated by a tidal breath, allowing for patchy distribution of infected material throughout the lung, as occurs with a childhood pneumonia. We have previously found age-related immune response differences between the neonate and juvenile, regarding E. coli clearance, from the lung. ¹This observation prompted investigation of the age-related differences in cellular immune cell dynamics between the two childhood age groups. Finally, supplemental figure 1 demonstrates similar histological differences and survival rates between the neonates and juveniles in our model.

Comment 3. It is unclear if the lung flow cytometry was performed with the now standard IV anti-CD45 technique developed by the Masopust lab a decade ago to exclude blood contamination.

It is appreciated that marking immune cells residing within the lung vasculature with labeled anti-CD54 would have facilitated the analysis of the flow cytometry data. However, due to the size of the mice and their veins, performing IV injections of neonatal and juvenile animals are problematic procedures with equally problematic outcomes. Thus, the decision was made not to add intravascular marking to the protocol.

Comment 4: Also, the flow cytometry should be detected as both percentages and absolute counts.

The cell counts for the neonatal WT lungs harvested at 24-, 48-, and 72-hours PEC have been added as Supplemental Figure 3 (see page 28) and comments that refer to these data were added to the Results section on pages 5 and 6 of the revised manuscript. The cell counts for WT and MHCII-/- neonatal and juvenile mice at 48 hours PEC are presented in Figure 5. The data for total cell counts from the WT juvenile lungs at 24-, 48-, and 72-hours PEC are no longer available so total cell counts could not be generated.

Comment 5: It is unclear what the authors are calling interstitial macrophages. Many labs are performing IV anti-CD45 and IT anti-CD45 (using a different fluorophore) to define interstitial cells as those that are not labeled with this technique. It appears to the authors are using a set of markers to define these "interstitial" cells and if so, that should be clearly stated in the results without the reader having to skip ahead to methods.

On page 6, line 115, we define interstitial macrophages as CD45⁺F4/80⁺SiglecF^-CD11b⁺MHCII+ cells. This set of markers was established based on the surface phenotype of IMs in adult animals at steady state. We concede that the surface phenotype of IM in neonates and juveniles could be different. Further, as implied by the reviewer’s comment, the method for the designation IM is still evolving – especially in the context of lung inflammation. In the Results (page 6) and Discussion (pages 10/11) sections, we acknowledge the established contributions of recruited monocytes to the IM compartment and discuss the IM data from inflamed lungs in a way that concedes that under these dynamic conditions it is difficult to differentiate IM from recruited monocyte.

Comment 6: Are there differences in MCP1, 3, or 5 that would potentially explain the defect in monocyte/macrophage recruitment?

We appreciate Reviewer 1’s comment that differences in Mcp1, 3 or 5 could potentially explain the defect in monocyte/macrophage recruitment. We did find age-related differences between neonates and juveniles with regard to MCP1 (Ccl2) expression which could potentially explain the apparent defect in monocyte/macrophage recruitment.

Figure 6 shows by qRT-PCR analysis, a less robust induction of the monocyte chemoattractant, Mcp1(Ccl2) in WT neonatal lung in response to E. coli, compared to WT juveniles. Supporting this finding, we had previously reported that lungs of juvenile mice had significantly higher expression of lung Mcp1(Ccl2) at 48 and 72 h post-E. coli compared to neonates by qRT-PCR and that juveniles also had significantly higher levels of Mcp1(Ccl2) protein in the bronchoalveolar lavage at 48 hours post-E. coli.¹ Additional studies examining the relationship between Mcp3 and 5 were not addressed in this study.

Comment 7: Given the potential defect in IFNΓ downstream genes, did the authors do ICS to look at IFNΓ+ γ δ T cells or NK cells and are these responses defective?

We agree with the reviewer that ICS for interferon γ in CD4 and γδT cells would have added to the study. However, in our study design reported here, ICS was not performed due to the low overall yield of both CD4 and γδT cells. In a related study we have employed a single cell approach that will allow us to address this important issue.

Comment 8: Class II MHC KO mice and humans (bare lymphocyte syndrome) lack CD4⁺ T cells (including Tregs) so the data in the KO would be clearly impacted by this. One could deplete CD4⁺ T cells with GK1.5 to see how much the lack of CD4⁺ T cells impacted the response.

In this study, neonatal mice when compared to juveniles, had an attenuated pathogen-induced MHCII driven immune response, associated with a defect in monocyte/macrophage recruitment. In our study we posed the question; would MHCII-/- juvenile mice respond in a similar manner to what was observed in the WT neonatal animals. The results demonstrated that there were indeed similarities between the responses generated in MHCII-/- juvenile and WT neonatal mice implicating a role for MHCII during the early, innate phase of the response to E. coli challenge. Of course, this finding is complicated by the fact that the MHCII-/- animals had very low levels of CD4 and γδT cells (see figure 5). While depleting CD4 T cells from WT animals would have been an effective approach to explore the relative contributions of T cells and MHCII to the response in older animals, like IV injections, cell depletion protocols for very young animals are problematic and thus fraught with problems in interpretation. To circumvent these considerable logistical issues, we are exploring alternative approaches to define the role of MHCII in the lungs of neonatal and juvenile mice.

1. McGrath-Morrow, S. A. et al. The innate immune response to lower respiratory tract E. coli infection and the role of the CCL2-CCR2 axis in neonatal mice. Cytokine 97, 108-116, doi:S1043-4666(17)30156-4 [pii];10.1016/j.cyto.2017.06.002 [doi] (2017).

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile mice in response to E. coli. FlowRepository. FR-FCM-Z63A [DOI] [PMC free article] [PubMed]
McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile WT C57BL/6J in response to E. coli. FlowRepository. FR-FCM-Z63B [DOI] [PMC free article] [PubMed]

Supplementary Materials

MDAR checklist

elife-82933-mdarchecklist1.docx^{(99.5KB, docx)}

Data Availability Statement

Data generated for this study are available through the FlowRepository archive (https://flowrepository.org) under accession numbers FR-FCM-Z63A and FR-FCM-Z63B.

The following datasets were generated:

McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile mice in response to E. coli. FlowRepository. FR-FCM-Z63A

McGrath-Morrow SA, Scott A. 2023. Cellular dynamics in the lungs of neonatal and juvenile WT C57BL/6J in response to E. coli. FlowRepository. FR-FCM-Z63B

[bib1] Aegerter H, Kulikauskaite J, Crotta S, Patel H, Kelly G, Hessel EM, Mack M, Beinke S, Wack A. Influenza-induced monocyte-derived alveolar macrophages confer prolonged antibacterial protection. Nature Immunology. 2020;21:145–157. doi: 10.1038/s41590-019-0568-x. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib2] Bain CC, MacDonald AS. The impact of the lung environment on macrophage development, activation and function: diversity in the face of adversity. Mucosal Immunology. 2022;15:223–234. doi: 10.1038/s41385-021-00480-w. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib3] Barth MW, Hendrzak JA, Melnicoff MJ, Morahan PS. Review of the macrophage disappearance reaction. Journal of Leukocyte Biology. 1995;57:361–367. doi: 10.1002/jlb.57.3.361. [DOI] [PubMed] [Google Scholar]

[bib4] Bawazeer MA, Theoharides TC. IL-33 stimulates human mast cell release of CCL5 and CCL2 via MAPK and NF-κB, inhibited by methoxyluteolin. European Journal of Pharmacology. 2019;865:172760. doi: 10.1016/j.ejphar.2019.172760. [DOI] [PubMed] [Google Scholar]

[bib5] Cai S, Batra S, Lira SA, Kolls JK, Jeyaseelan S. CXCL1 regulates pulmonary host defense to Klebsiella Infection via CXCL2, CXCL5, NF-kappaB, and MAPKs. Journal of Immunology. 2010;185:6214–6225. doi: 10.4049/jimmunol.0903843. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib6] Chakarov S, Lim HY, Tan L, Lim SY, See P, Lum J, Zhang XM, Foo S, Nakamizo S, Duan K, Kong WT, Gentek R, Balachander A, Carbajo D, Bleriot C, Malleret B, Tam JKC, Baig S, Shabeer M, Toh S, Schlitzer A, Larbi A, Marichal T, Malissen B, Chen J, Poidinger M, Kabashima K, Bajenoff M, Ng LG, Angeli V, Ginhoux F. Two distinct interstitial macrophage populations coexist across tissues in specific Subtissular niches. Science. 2019;363:eaau0964. doi: 10.1126/science.aau0964. [DOI] [PubMed] [Google Scholar]

[bib7] Chan JYC, Stern DA, Guerra S, Wright AL, Morgan WJ, Martinez FD. Pneumonia in childhood and impaired lung function in adults: a longitudinal study. Pediatrics. 2015;135:607–616. doi: 10.1542/peds.2014-3060. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib8] Chang CH, Fontes JD, Peterlin M, Flavell RA. Class II transactivator (CIITA) is sufficient for the inducible expression of major histocompatibility complex class II genes. The Journal of Experimental Medicine. 1994;180:1367–1374. doi: 10.1084/jem.180.4.1367. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib9] Chisti MJ, Tebruegge M, La Vincente S, Graham SM, Duke T. Pneumonia in severely malnourished children in developing countries - mortality risk, aetiology and validity of WHO clinical signs: a systematic review. Tropical Medicine & International Health. 2009;14:1173–1189. doi: 10.1111/j.1365-3156.2009.02364.x. [DOI] [PubMed] [Google Scholar]

[bib10] Duraes MI, Flor-DE-Lima F, Rocha G, Soares H, Guimaraes H. Morbidity and mortality of Preterm infants less than 26 weeks of gestational age. Minerva Pediatrica. 2016;71:12–20. doi: 10.23736/S0026-4946.16.04609-0. [DOI] [PubMed] [Google Scholar]

[bib11] Ely DM, Driscoll AK. Infant mortality in the United States, 2017: data from the period linked birth/infant death file. National Vital Statistics System. 2019;68:1–20. [PubMed] [Google Scholar]

[bib12] Gollwitzer ES, Saglani S, Trompette A, Yadava K, Sherburn R, McCoy KD, Nicod LP, Lloyd CM, Marsland BJ. Lung microbiota promotes tolerance to allergens in neonates via PD-L1. Nature Medicine. 2014;20:642–647. doi: 10.1038/nm.3568. [DOI] [PubMed] [Google Scholar]

[bib13] Green RJ, Kolberg JM. Neonatal pneumonia in sub-Saharan Africa. Pneumonia. 2016;8:3. doi: 10.1186/s41479-016-0003-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib14] Guilliams M, De Kleer I, Henri S, Post S, Vanhoutte L, De Prijck S, Deswarte K, Malissen B, Hammad H, Lambrecht BN. Alveolar macrophages develop from fetal monocytes that differentiate into long-lived cells in the first week of life via GM-CSF. The Journal of Experimental Medicine. 2013;210:1977–1992. doi: 10.1084/jem.20131199. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib15] Heron M. Deaths: leading causes for 2017. National Vital Statistics Reports. 2019;68:1–77. [PubMed] [Google Scholar]

[bib16] Huang L, Nazarova EV, Tan S, Liu Y, Russell DG. Growth of Mycobacterium Tuberculosis in vivo segregates with host macrophage metabolism and ontogeny. The Journal of Experimental Medicine. 2018;215:1135–1152. doi: 10.1084/jem.20172020. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib17] Jin L, Batra S, Douda DN, Palaniyar N, Jeyaseelan S. CXCL1 contributes to host defense in polymicrobial sepsis via modulating T cell and neutrophil functions. Journal of Immunology. 2014;193:3549–3558. doi: 10.4049/jimmunol.1401138. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib18] Kasahara K, Matsumura Y, Ui K, Kasahara K, Komatsu Y, Mikasa K, Kita E. Intranasal priming of newborn mice with microbial extracts increases opsonic factors and mature CD11c+ cells in the airway. American Journal of Physiology. Lung Cellular and Molecular Physiology. 2012;303:L834–L843. doi: 10.1152/ajplung.00031.2012. [DOI] [PubMed] [Google Scholar]

[bib19] Lee PT, Holt PG, McWilliam AS. Role of alveolar Macrophages in innate immunity in neonates: evidence for selective lipopolysaccharide binding protein production by rat neonatal alveolar macrophages. American Journal of Respiratory Cell and Molecular Biology. 2000;23:652–661. doi: 10.1165/ajrcmb.23.5.4016. [DOI] [PubMed] [Google Scholar]

[bib20] Lee PT, Holt PG, McWilliam AS. Failure of MHC class II expression in neonatal alveolar macrophages: potential role of class II transactivator. European Journal of Immunology. 2001;31:2347–2356. doi: 10.1002/1521-4141(200108)31:8<2347::aid-immu2347>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]

[bib21] Lee AYS, Eri R, Lyons AB, Grimm MC, Korner H. CC chemokine ligand 20 and its cognate receptor CCR6 in mucosal T cell Immunology and inflammatory bowel disease: odd couple or axis of evil? Frontiers in Immunology. 2013;4:194. doi: 10.3389/fimmu.2013.00194. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib22] Li D, Wu M. Pattern recognition receptors in health and diseases. Signal Transduction and Targeted Therapy. 2021;6:291. doi: 10.1038/s41392-021-00687-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib23] Liao M, Liu Y, Yuan J, Wen Y, Xu G, Zhao J, Cheng L, Li J, Wang X, Wang F, Liu L, Amit I, Zhang S, Zhang Z. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nature Medicine. 2020;26:842–844. doi: 10.1038/s41591-020-0901-9. [DOI] [PubMed] [Google Scholar]

[bib24] Louwe PA, Badiola Gomez L, Webster H, Perona-Wright G, Bain CC, Forbes SJ, Jenkins SJ. Recruited macrophages that colonize the post-inflammatory peritoneal niche convert into functionally divergent resident cells. Nature Communications. 2021;12:1770. doi: 10.1038/s41467-021-21778-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib25] Martinez FD. Early-life origins of chronic obstructive pulmonary disease. The New England Journal of Medicine. 2016;375:871–878. doi: 10.1056/NEJMra1603287. [DOI] [PubMed] [Google Scholar]

[bib26] McGrath-Morrow SA, Lee S, Gibbs K, Lopez A, Collaco JM, Neptune E, Soloski MJ, Scott A, D’Alessio F. Immune response to intrapharyngeal LPS in neonatal and juvenile mice. American Journal of Respiratory Cell and Molecular Biology. 2015;52:323–331. doi: 10.1165/rcmb.2014-0100OC. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib27] McGrath-Morrow SA, Ndeh R, Collaco JM, Poupore AK, Dikeman D, Zhong Q, Singer BD, D’Alessio F, Scott A. The innate immune response to lower respiratory tract E. coli infection and the role of the CCL2-CCR2 axis in neonatal mice. Cytokine. 2017;97:108–116. doi: 10.1016/j.cyto.2017.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib28] McGrath-Morrow SA, Ndeh R, Helmin KA, Chen SY, Anekalla KR, Abdala-Valencia H, D’Alessio FR, Collaco JM, Singer BD. DNA methylation regulates the neonatal CD4+ T-cell response to pneumonia in mice. The Journal of Biological Chemistry. 2018;293:11772–11783. doi: 10.1074/jbc.RA118.003589. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib29] Pisu D, Huang L, Narang V, Theriault M, Lê-Bury G, Lee B, Lakudzala AE, Mzinza DT, Mhango DV, Mitini-Nkhoma SC, Jambo KC, Singhal A, Mwandumba HC, Russell DG. Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. The Journal of Experimental Medicine. 2021;218:e20210615. doi: 10.1084/jem.20210615. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib30] Roux X, Remot A, Petit-Camurdan A, Nahori MA, Kiefer-Biasizzo H, Marchal G, Lagranderie M, Riffault S. Neonatal lung immune responses show a shift of cytokines and transcription factors toward Th2 and a deficit in conventional and plasmacytoid dendritic cells. European Journal of Immunology. 2011;41:2852–2861. doi: 10.1002/eji.201041224. [DOI] [PubMed] [Google Scholar]

[bib31] Sabatel C, Radermecker C, Fievez L, Paulissen G, Chakarov S, Fernandes C, Olivier S, Toussaint M, Pirottin D, Xiao X, Quatresooz P, Sirard JC, Cataldo D, Gillet L, Bouabe H, Desmet CJ, Ginhoux F, Marichal T, Bureau F. Exposure to bacterial Cpg DNA protects from airway allergic inflammation by expanding regulatory lung interstitial Macrophages. Immunity. 2017;46:457–473. doi: 10.1016/j.immuni.2017.02.016. [DOI] [PubMed] [Google Scholar]

[bib32] Schyns J, Bai Q, Ruscitti C, Radermecker C, De Schepper S, Chakarov S, Farnir F, Pirottin D, Ginhoux F, Boeckxstaens G, Bureau F, Marichal T. Non-classical tissue monocytes and two functionally distinct populations of interstitial macrophages populate the mouse lung. Nature Communications. 2019;10:3964. doi: 10.1038/s41467-019-11843-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib33] Starner TD, Barker CK, Jia HP, Kang Y, McCray PB. CCL20 is an inducible product of human airway epithelia with innate immune properties. American Journal of Respiratory Cell and Molecular Biology. 2003;29:627–633. doi: 10.1165/rcmb.2002-0272OC. [DOI] [PubMed] [Google Scholar]

[bib34] Steimle V, Siegrist CA, Mottet A, Lisowska-Grospierre B, Mach B. Regulation of MHC class II expression by interferon-gamma mediated by the transactivator gene CIITA. Science. 1994;265:106–109. doi: 10.1126/science.8016643. [DOI] [PubMed] [Google Scholar]

[bib35] Thome JJC, Bickham KL, Ohmura Y, Kubota M, Matsuoka N, Gordon C, Granot T, Griesemer A, Lerner H, Kato T, Farber DL. Early-life compartmentalization of human T cell differentiation and regulatory function in mucosal and lymphoid tissues. Nature Medicine. 2016;22:72–77. doi: 10.1038/nm.4008. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib36] Thurlbeck WM. Postnatal human lung growth. Thorax. 1982;37:564–571. doi: 10.1136/thx.37.8.564. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib37] Torow N, Marsland BJ, Hornef MW, Gollwitzer ES. Neonatal mucosal immunology. Mucosal Immunology. 2017;10:5–17. doi: 10.1038/mi.2016.81. [DOI] [PubMed] [Google Scholar]

[bib38] Troeger C, Blacker B, Khalil IA, Rao PC, Cao J, Zimsen SRM, Albertson SB, Deshpande A, Farag T, Abebe Z, Adetifa IMO, Adhikari TB, Akibu M, Al Lami FH, Al-Eyadhy A, Alvis-Guzman N, Amare AT, Amoako YA, Antonio CAT, Aremu O, Asfaw ET, Asgedom SW, Atey TM, Attia EF, Avokpaho EFGA, Ayele HT, Ayuk TB, Balakrishnan K, Barac A, Bassat Q, Behzadifar M, Behzadifar M, Bhaumik S, Bhutta ZA, Bijani A, Brauer M, Brown A, Camargos PAM, Castañeda-Orjuela CA, Colombara D, Conti S, Dadi AF, Dandona L, Dandona R, Do HP, Dubljanin E, Edessa D, Elkout H, Endries AY, Fijabi DO, Foreman KJ, Forouzanfar MH, Fullman N, Garcia-Basteiro AL, Gessner BD, Gething PW, Gupta R, Gupta T, Hailu GB, Hassen HY, Hedayati MT, Heidari M, Hibstu DT, Horita N, Ilesanmi OS, Jakovljevic MB, Jamal AA, Kahsay A, Kasaeian A, Kassa DH, Khader YS, Khan EA, Khan MN, Khang Y-H, Kim YJ, Kissoon N, Knibbs LD, Kochhar S, Koul PA, Kumar GA, Lodha R, Magdy Abd El Razek H, Malta DC, Mathew JL, Mengistu DT, Mezgebe HB, Mohammad KA, Mohammed MA, Momeniha F, Murthy S, Nguyen CT, Nielsen KR, Ningrum DNA, Nirayo YL, Oren E, Ortiz JR, Pa M, Postma MJ, Qorbani M, Quansah R, Rai RK, Rana SM, Ranabhat CL, Ray SE, Rezai MS, Ruhago GM, Safiri S, Salomon JA, Sartorius B, Savic M, Sawhney M, She J, Sheikh A, Shiferaw MS, Shigematsu M, Singh JA, Somayaji R, Stanaway JD, Sufiyan MB, Taffere GR, Temsah M-H, Thompson MJ, Tobe-Gai R, Topor-Madry R, Tran BX, Tran TT, Tuem KB, Ukwaja KN, Vollset SE, Walson JL, Weldegebreal F, Werdecker A, West TE, Yonemoto N, Zaki MES, Zhou L, Zodpey S, Vos T, Naghavi M, Lim SS, Mokdad AH, Murray CJL, Hay SI, Reiner RC. Estimates of the global, regional, and national morbidity, mortality, and Aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the global burden of disease study 2016. The Lancet Infectious Diseases. 2018;18:1191–1210. doi: 10.1016/S1473-3099(18)30310-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib39] Ural BB, Yeung ST, Damani-Yokota P, Devlin JC, de Vries M, Vera-Licona P, Samji T, Sawai CM, Jang G, Perez OA, Pham Q, Maher L, Loke P, Dittmann M, Reizis B, Khanna KM. Identification of a nerve-associated, lung-resident interstitial macrophage subset with distinct localization and immunoregulatory properties. Science Immunology. 2020;5:eaax8756. doi: 10.1126/sciimmunol.aax8756. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bib40] van den Elsen PJ, Gobin SJ, van Eggermond MC, Peijnenburg A. Regulation of MHC class I and II gene transcription: differences and similarities. Immunogenetics. 1998;48:208–221. doi: 10.1007/s002510050425. [DOI] [PubMed] [Google Scholar]

[bib41] Wang H, Tang J, Xiong Y, Li X, Gonzalez F, Mu D. Neonatal community-acquired pneumonia: pathogens and treatment. Journal of Paediatrics and Child Health. 2010;46:668–672. doi: 10.1111/j.1440-1754.2010.01814.x. [DOI] [PubMed] [Google Scholar]

PERMALINK

Cellular and molecular dynamics in the lungs of neonatal and juvenile mice in response to E. coli

Sharon A McGrath-Morrow

Jarrett Venezia

Roland Ndeh

Nigel Michki

Javier Perez

Benjamin David Singer

Raffaello Cimbro

Mark Soloski

Alan L Scott

Roles

Abstract

Introduction

Results

Cellular dynamics in neonatal and juvenile lungs in response to E. coli challenge

Figure 1. E. coli-induced changes in neutrophil and lymphocyte dynamics in neonatal and juvenile lungs.

Figure 1—figure supplement 1. Survival analysis of WT and MHCII−/− neonatal and juvenile mice after challenge with E. coli.

Figure 1—figure supplement 2. Similar bacterial burden between neonatal and juvenile mice at Time0 post-E. coli aspiration.

Figure 2. E. coli-induced changes in mononuclear cell dynamics in neonatal and juvenile lungs.

Figure 2—figure supplement 1. E. coli-induced changes in the number of immune cells in lungs from neonatal mice.

Figure 3. E. coli-induced changes in the surface phenotypes of alveolar macrophage and interstitial macrophage compartments.

Figure 3—figure supplement 1. Gating strategy.

Cellular dynamics in the lungs of neonatal and juvenile MHCII−/− mice to E. coli challenge

Figure 4. E. coli-induced changes in the proportions of neutrophils, lymphocytes, and mononuclear cells in the lungs of MHC−/− neonates and juveniles at 48 hr post-challenge with E. coli.

Figure 5. E. coli-induced changes in the numbers of neutrophils, lymphocytes, and mononuclear cells in the lungs of WT and MHC−/− neonates and juveniles at 48 hr post-challenge with E. coli.

Transcriptional response in neonatal and juvenile lungs to E. coli challenge

Figure 6. E. coli-induced changes in the expression dynamics of select regulatory, cytokine, and chemokine genes in WT and MHC−/− neonatal and juvenile lungs.

Discussion

Methods

Key resources table.

Mice

Directly observed aspiration of E. coli

Optical density measurements

Flow cytometry: lung single-cell suspension preparation

Quantitative RT-PCR

Statistical analysis

Funding Statement

Contributor Information

Funding Information

Additional information

Competing interests

Author contributions

Ethics

Additional files

Data availability

References

Editor's evaluation

Paul W Noble

Roles

Decision letter

Roles

Author response

Associated Data

Data Citations

Supplementary Materials

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

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Figure 1—figure supplement 1. Survival analysis of WT and MHCII^−/− neonatal and juvenile mice after challenge with E. coli.

Figure 1—figure supplement 2. Similar bacterial burden between neonatal and juvenile mice at Time₀ post-E. coli aspiration.

Cellular dynamics in the lungs of neonatal and juvenile MHCII^−/− mice to E. coli challenge

Figure 4. E. coli-induced changes in the proportions of neutrophils, lymphocytes, and mononuclear cells in the lungs of MHC^−/− neonates and juveniles at 48 hr post-challenge with E. coli.

Figure 5. E. coli-induced changes in the numbers of neutrophils, lymphocytes, and mononuclear cells in the lungs of WT and MHC^−/− neonates and juveniles at 48 hr post-challenge with E. coli.

Figure 6. E. coli-induced changes in the expression dynamics of select regulatory, cytokine, and chemokine genes in WT and MHC^−/− neonatal and juvenile lungs.