CCL28 modulates neutrophil responses during infection with mucosal pathogens

  1. Gregory T Walker
  2. Araceli Perez-Lopez
  3. Steven Silva
  4. Michael H Lee
  5. Elisabet Bjånes
  6. Nicholas Dillon
  7. Stephanie L Brandt
  8. Romana R Gerner
  9. Karine Melchior
  10. Grant J Norton
  11. Felix A Argueta
  12. Frenchesca Dela Pena
  13. Lauren Park
  14. Victor A Sosa-Hernandez
  15. Rodrigo Cervantes-Diaz
  16. Sandra Romero-Ramirez
  17. Monica Cartelle Gestal
  18. Jose L Maravillas-Montero
  19. Sean-Paul Nuccio
  20. Victor Nizet
  21. Manuela Raffatellu  Is a corresponding author
  1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, United States
  2. Department of Microbiology and Molecular Genetics, University of California Irvine, United States
  3. Biomedicine Research Unit, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Mexico
  4. Department of Biological Sciences, University of Texas at Dallas, United States
  5. School of Life Sciences, ZIEL - Institute for Food and Health, Freising-Weihenstephan, Technical University of Munich, Germany
  6. School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil
  7. Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México and Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico
  8. Departamento de Biomedicina Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
  9. Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico
  10. Department of Microbiology and Immunology, Louisiana State University Health Sciences Center at Shreveport, United States
  11. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, United States
  12. Center for Microbiome Innovation, University of California San Diego, United States
  13. Chiba University-UC San Diego Center for Mucosal Immunology, Allergy, and Vaccines (CU-UCSDcMAV), United States

Abstract

The chemokine CCL28 is highly expressed in mucosal tissues, but its role during infection is not well understood. Here, we show that CCL28 promotes neutrophil accumulation in the gut of mice infected with Salmonella and in the lung of mice infected with Acinetobacter. Neutrophils isolated from the infected mucosa expressed the CCL28 receptors CCR3 and, to a lesser extent, CCR10, on their surface. The functional consequences of CCL28 deficiency varied between the two infections: Ccl28−/− mice were highly susceptible to Salmonella gut infection but highly resistant to otherwise lethal Acinetobacter lung infection. In vitro, unstimulated neutrophils harbored pre-formed intracellular CCR3 that was rapidly mobilized to the cell surface following phagocytosis or inflammatory stimuli. Moreover, CCL28 stimulation enhanced neutrophil antimicrobial activity, production of reactive oxygen species, and formation of extracellular traps, all processes largely dependent on CCR3. Consistent with the different outcomes in the two infection models, neutrophil stimulation with CCL28 boosted the killing of Salmonella but not Acinetobacter. CCL28 thus plays a critical role in the immune response to mucosal pathogens by increasing neutrophil accumulation and activation, which can enhance pathogen clearance but also exacerbate disease depending on the mucosal site and the infectious agent.

Editor's evaluation

This important study provides compelling evidence that CCL28 plays a crucial role in regulating neutrophil function and host defense during mucosal infections, with CCL28 deficiency leading to greater susceptibility to Salmonella gut infections and enhanced resistance to Acinetobacter lung infections. The data convincingly shows that CCL28, through CCR3, regulates neutrophil functions such as reactive oxygen species production and extracellular trap formation, influencing pathogen clearance and highlighting its context-dependent impact on immunity.

https://doi.org/10.7554/eLife.78206.sa0

Introduction

Chemokines comprise a family of small chemoattractant proteins that play important roles in diverse host processes including chemotaxis, immune cell development, and leukocyte activation (Zlotnik and Yoshie, 2000; Zlotnik et al., 2011; Charo and Ransohoff, 2006). The chemokine superfamily includes 48 human ligands and 19 receptors, classified into subfamilies (CC, CXC, C, and CX3C) depending on the location of the cysteines in their sequence (Nomiyama et al., 2013; Hughes and Nibbs, 2018). Four chemokines predominate in mucosal tissues: CCL25, CCL28, CXCL14, and CXCL17 (Hernández-Ruiz and Zlotnik, 2017).

CCL28, also known as Mucosae-associated Epithelial Chemokine, belongs to the CC (or β-chemokine) subclass, and is constitutively produced in mucosal tissues including the digestive system, respiratory tract, and female reproductive system (Mohan et al., 2017). Although best studied for its homeostatic functions, CCL28 can also be induced under inflammatory conditions and is thus considered a dual function chemokine (Mohan et al., 2017).

CCL28 signals via two receptors: CCR3 and CCR10 (Pan et al., 2000). During homeostasis in mice, CCL28 provides a chemotactic gradient for CCR10+ B and T cells and guides the migration of CCR10+ IgA plasmablasts to the mammary gland and other tissues (Mohan et al., 2017; Burkhardt et al., 2019; Matsuo et al., 2018). In a disease context, CCL28 has been best studied in allergic airway inflammation. High CCL28 levels are present in airway biopsies from asthma patients (O’Gorman et al., 2005), and CCR3+ and CCR10+ cells are recruited to the airways in a CCL28-dependent fashion in murine asthma models (John et al., 2005; English et al., 2006).

In the human gut, CCL28 is upregulated during inflammation of the gastric mucosa in Helicobacter pylori-infected patients (Hansson et al., 2008) and in the colon of patients with ulcerative colitis, a prominent form of inflammatory bowel disease (Lee et al., 2021; Ogawa et al., 2004). In the mouse gut, CCL28 production is increased in the dextran sulfate sodium model of colitis (Matsuo et al., 2018). Epithelial cells are an important source of CCL28 (Lee et al., 2021; Ogawa et al., 2004), and its expression can be induced by stimulation of cultured airway or intestinal epithelial cells with the proinflammatory cytokines interleukin (IL)-1ɑ, IL-1β, or tumor necrosis factor (TNF)-ɑ, or following Salmonella infection of cultured HCA-7 colon carcinoma cells (Ogawa et al., 2004).

Collectively, a variety of studies have postulated that CCL28 is an important chemokine in inflammatory diseases, ranging from asthma to ulcerative colitis, and during the immune response to infection. Yet, CCL28 function remains understudied, largely because Ccl28−/− mice have only recently been described (Burkhardt et al., 2019; Matsuo et al., 2018). Here, we investigate the function and underlying mechanism of CCL28 during the mucosal response to infection.

By comparing infection in Ccl28−/− mice and their wild-type littermates, we discovered a key role for CCL28 in promoting neutrophil accumulation to the gut during infection with Salmonella enterica serovar Typhimurium (STm) and to the lung during infection with multidrug-resistant Acinetobacter baumannii (Ab). Neutrophils isolated from the infected mucosal sites harbored CCL28 receptors, particularly CCR3, on their surface. In vitro, CCR3 was stored intracellularly, and was rapidly detectable on the neutrophil surface upon stimulation with proinflammatory molecules or in response to phagocytosis. Neutrophil stimulation of CCL28 resulted in enhanced neutrophil antimicrobial activity against STm, increased production of reactive oxygen species (ROS), and enhanced formation of neutrophil extracellular traps (NETs), all processes that help control infection but also cause extensive tissue damage. We conclude that CCL28 plays a previously unappreciated role in the innate immune response to mucosal pathogens by regulating neutrophil accumulation and activation.

Results

CCL28-mediated responses limit Salmonella gut colonization and systemic dissemination

We investigated CCL28 activity during gastrointestinal infection with STm by using the well-established streptomycin-treated C57BL/6 mouse model of colitis (Barthel et al., 2003; Walker et al., 2023). At day 4 post-infection (4 dpi) with STm, we observed a ~fourfold increase of CCL28 by enzyme-linked immunosorbent assay (ELISA) analysis of feces from wild-type mice relative to uninfected controls (Figure 1A). In a prior preliminary study, we found that Ccl28−/− mice infected with STm exhibited increased lethality compared to their wild-type littermates beginning at day 1 post-infection (Burkhardt et al., 2019). To further elucidate the impact of CCL28 on STm infection dynamics and host responses earlier in the course of infection (2–3 dpi), we examined STm colony-forming units (CFU) in the gastrointestinal contents and extraintestinal tissues. Although there was no significant difference in gastrointestinal CFU between wild-type and Ccl28−/− mice (Figure 1B and Figure 1—figure supplement 1A), higher CFU were observed in extraintestinal tissues by 2 dpi (Figure 1—figure supplement 1B). By 3 dpi, significantly higher CFU were recovered from the Peyer’s patches, the mesenteric lymph nodes, and systemic sites (bone marrow and spleen) of Ccl28−/− mice (Figure 1C), indicating that the CCL28 is essential for limiting extraintestinal STm dissemination. In contrast, when bypassing the gut and infecting mice intraperitoneally with STm, we also observed a ~fourfold increase in serum CCL28 (Figure 1—figure supplement 2A), but equal numbers of STm CFU were recovered from the spleen, liver, and blood of both wild-type and Ccl28−/− mice at 4 dpi (Figure 1—figure supplement 2B). These results suggest that CCL28 helps control STm infection at its origin in the gut mucosa, reducing dissemination to other sites.

Figure 1 with 6 supplements see all
CCL28 confers protection during Salmonella colitis and promotes neutrophil accumulation in the gut.

(A) For the colitis model, wild-type (WT) mice were gavaged with streptomycin 24 hr prior to oral infection with approximately 1 × 109 CFU S. enterica serovar Typhimurium (STm). At 4 days post-infection (dpi), CCL28 in feces was quantified by ELISA. Data shown comprise two independent experiments (uninfected, n = 10; STm, n = 10). Bars represent the mean ± standard deviation (SD). (B) STm CFU in the fecal content collected 1–3 dpi, and in the cecal content 3 dpi from WT (filled circles) and Ccl28−/− (white circles) littermate mice. (C) CFU recovered from the Peyer’s patches, mesenteric lymph nodes, spleen, bone marrow, and blood at 3 dpi. Data shown comprise eight independent experiments (WT, n = 24; Ccl28−/−, n = 18). Some of the spleen data points were published as a preliminary characterization in Burkhardt et al., 2019 and are combined with the new dataset. Bars represent the geometric mean, dotted lines represent the limit of detection. (D) Representative pseudocolor dot plots of neutrophils (CD11b+ Ly6G+ cells; gated on live, CD45+ cells) obtained from the gut tissues of uninfected (Naive) and STm-infected WT or Ccl28−/− mice 2 or 3 dpi, as determined by flow cytometry. (E) Frequency of neutrophils in the live CD45+ cells obtained from the gut mucosa of WT (filled circles) or Ccl28−/− mice (white circles). Naive mouse data shown comprise four independent experiments (WT, n = 14; Ccl28−/, n = 9); 2 dpi data comprise four independent experiments (WT, n = 14; Ccl28−/−, n = 14); 3 dpi data comprise eight independent experiments (WT, n = 24; Ccl28−/−, n = 18). Bars represent the geometric mean. (F) Relative expression levels (qPCR) of Cxcl1 (CXCL1), Tnfa (TNFα), Ifng (IFNγ), Csf3 (G-CSF), Il1b (IL-1β), and Il17a (IL-17A) in the cecal tissue of STm-infected WT (filled circles, n = 13) or Ccl28−/− mice (white circles, n = 8), 3 dpi, relative to uninfected control mice. Bars represent the geometric mean. Data shown comprise four independent experiments. (G–I) Histopathological analysis of the cecum collected from STm-infected WT or Ccl28−/− mice, 3 dpi (WT, n = 11; Ccl28−/−, n = 7). Scale bars indicate 100 µm. (G) Sum of the total histopathology score (bars represent the mean; symbols represent individual mice), (H) histopathology scores showing the individual analyzed parameters of each mouse (stacked bar height represents the overall score), and (I) hematoxylin and eosin (H&E)-stained sections from one representative animal for each group (×200 magnification). For (B) and (C), CFU data were log-normalized before statistical analysis by Welch’s t test. Mann–Whitney U was used for all other datasets where statistical analysis was performed. A significant difference relative to WT controls is indicated by *p ≤ 0.05, **p ≤ 0.01; ns, not significant.

CCL28 promotes neutrophil accumulation to the gut during Salmonella infection

CCL28 has direct antimicrobial activity against some bacteria (e.g., Streptococcus mutans and Pseudomonas aeruginosa) and fungi (e.g., Candida albicans) (Hieshima et al., 2003), but concentrations up to 1 μM did not substantially inhibit wild-type STm. However, CCL28 produced multilog-fold CFU reductions in Escherichia coli K12 or a STm ΔphoQ mutant known to be more susceptible to antimicrobial peptide killing (Groisman, 2001; Figure 1—figure supplement 2C). Therefore, the direct antimicrobial activity of CCL28 does not explain the lower STm colonization in wild-type mice compared to Ccl28−/− mice.

During homeostasis, CCL28 exhibits chemotactic activity in the gut mucosa toward CD4+ and CD8+ T cells and IgA-producing B cells (Mohan et al., 2017; Burkhardt et al., 2019; Matsuo et al., 2018). However, immune cell profiling in the intestines (using the flow cytometry gating strategy presented in Figure 1—figure supplement 3) revealed similar B cell and CD4+ and CD8+ T cell numbers in both wild-type and Ccl28−/− mice during homeostasis and STm infection (Figure 1—figure supplement 4A–C). Neutrophils are crucial in the host response to STm (reviewed in Perez-Lopez et al., 2016), and neutropenia increases infection severity in both mice and humans (Bhatti et al., 1998; Yaman et al., 2018; Vassiloyanakopoulos et al., 1998; Fierer, 2001). Strikingly, we observed increased neutrophil abundance in the intestinal tissues of wild-type mice during colitis, but ~50% fewer neutrophils (CD11b+ Ly6G+ cells) were isolated from the gut of Ccl28−/− mice 2 and 3 days after STm infection (Figure 1D, E). Concurrent neutrophil counts in the blood and bone marrow were similar between infected Ccl28−/− mice and wild-type mice (Figure 1—figure supplement 5A), indicating a defect in the accumulation of neutrophils at the mucosal site of infection and excluding a defect in granulopoiesis.

We detected slightly lower levels of the NET-associated peptides myeloperoxidase (MPO), neutrophil elastase, and S100A9 (a subunit of calprotectin, a metal-sequestering protein associated with neutrophils) in the cecal content supernatant of STm-infected Ccl28−/− mice compared to wild-type mice (Figure 1—figure supplement 6), though these differences were not statistically significant. Additionally, we quantified gut eosinophils, which commonly express the CCL28 receptor CCR3 (Mohan et al., 2017). Although the majority of eosinophils (CD11b+ SiglecF+ Side-scatterHigh) detected in the gut and blood expressed CCR3 (Figure 1—figure supplement 5B), we found no alteration in their numbers in the gut, blood, or bone marrow in homeostasis or during STm infection (Figure 1—figure supplement 5C). The abundance of other innate immune cell populations (CD11b+ CD11c+ conventional dendritic cell-like cells and CD11b+ F4/80+ macrophage-like cells) responding to STm in the gut also showed no major differences (Figure 1—figure supplement 5D, E). Therefore, CCL28 specifically promotes neutrophil accumulation in the gut during STm infection, which occurs after neutrophil production in the bone marrow and their egress into the blood circulation.

Gut proinflammatory gene expression and tissue pathology are reduced in Ccl28−/− mice infected with STm

Neutrophils can mediate inflammation by producing proinflammatory molecules or engaging in crosstalk with other cells (Sabroe et al., 2005). We evaluated the expression of genes encoding proinflammatory cytokines in the cecum of Ccl28−/− mice and wild-type littermates 3 dpi with STm. Ifng and IL1b gene transcripts were significantly higher in the cecum of infected wild-type mice compared to Ccl28−/− mice, while other factors involved in neutrophil recruitment (Cxcl1, Csf3, and Il17a) or the proinflammatory cytokine Tnfa showed no significant differences (Figure 1F). No differences were observed between uninfected wild-type mice and Ccl28−/− mice (data not shown). Histopathology at 3 dpi revealed marked cecal inflammation, including significant neutrophil recruitment in wild-type mice, which was greatly reduced in Ccl28−/− mice (Figure 1G–I). Thus, CCL28 modulates neutrophil accumulation and drives inflammatory tissue pathology and colitis during STm infection.

Ccl28−/− mice are protected from lethal infection in an Acinetobacter pneumonia model

CCL28 is expressed in several mucosal tissues beyond the gut, including the lung (Mohan et al., 2017). To investigate whether CCL28 promotes neutrophil accumulation and host protection in the lung, we employed a murine Ab pneumonia model (Dillon et al., 2019; Lin et al., 2015). Ab is an emerging, frequently multidrug-resistant Gram-negative pathogen causing potentially lethal nosocomial pneumonia (Ayoub Moubareck and Hammoudi Halat, 2020). Following intratracheal Ab infection, we observed a striking phenotype: 75% of wild-type mice died within 48 hr, whereas 88% of Ccl28−/− knockout mice survived through 10 dpi (Figure 2A). The enhanced resistance of Ccl28−/− mice was not associated with significant reductions in Ab CFU recovered at 1 dpi from bronchoalveolar lavage (BAL) fluid, lung, or blood (Figure 2B–D). These results suggest that, unlike STm gut infection, CCL28 exacerbates lethality during Ab lung infection.

Figure 2 with 3 supplements see all
Absence of CCL28 confers protection in a lethal Acinetobacter pneumonia model.

(A) Wild-type (WT) mice (solid black line) and Ccl28−/− mice (dashed magenta line) were intratracheally infected with approximately 1 × 108 CFU Acinetobacter baumannii (Ab) and their survival was determined for 10 days. Data shown comprise two independent experiments (WT, n = 8; Ccl28−/−, n = 8). (B–H) WT mice (n = 9) and Ccl28−/− mice (n = 8) were intratracheally infected with Ab and sacrificed 1 day post-infection (dpi). Data shown comprise three independent experiments. Symbols represent data from individual mice. (B–D) Ab CFU were quantified from the BAL (bronchoalveolar lavage) fluid, (C) lung tissue, and (D) blood in WT (gray symbols) and Ccl28−/− mice (magenta symbols). Bars represent the geometric mean. (E) Representative pseudocolor dot plots of neutrophils (CD11b+ Ly6G+ cells; gated on live, CD45+ cells) and (F) frequency of neutrophils obtained from the BAL, lung, blood, and bone marrow of Ab-infected WT or Ccl28−/− mice, as determined by flow cytometry. Lines represent the geometric mean. (G) The number of live host cells per mL of BAL, determined using an automated cell counter with Trypan Blue counterstain to assess viability, from uninfected WT (Uninf., n = 5), and Ab-infected WT (n = 9); and Ccl28−/− mice (n = 8). Bars represent the geometric mean. (H) Relative abundance of different leukocyte populations as a proportion of the live CD45+ cell population was assessed in the BAL. Each bar represents data from one mouse. (I) Representative immunofluorescence image of lungs from WT and Ccl28−/− mice, uninfected or infected with Ab, stained for the neutrophil marker Ly6G (magenta). 4′,6-diamidino-2-phenylindole (DAPI, blue) was used to label nuclei. Scale bars indicate 20 µm. (J) Quantification of Ly6G+ cells per high-power field (HPF) from immunofluorescence images of lungs from WT mice (n = 4) and Ccl28−/− mice (n = 4). Bars represent the mean ± standard deviation (SD). (K) Histopathological analysis of lungs from WT and Ccl28−/− mice infected with Ab at 1 dpi. Each bar represents an individual mouse. (L) Relative expression levels (qPCR) of Cxcl1 (CXCL1), Tnfa (TNFα), Ifng (IFNγ), Csf3 (G-CSF), Il1b (IL-1β), and Il17a (IL-17A) in the lung of WT (n = 11) or Ccl28−/− mice (n = 12) infected with Ab (1 dpi). Bars represent the geometric mean. Data shown comprise three independent experiments. For (A), survival curves were statistically compared using a log-rank (Mantel–Cox) test. For (B–D), CFU data were log-normalized before analysis by Welch’s t test. For (F), (G), and (L), Mann–Whitney U was used to compare groups with unknown distribution. A significant difference between groups is indicated by *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001. ns, not significant.

In vitro, high concentrations (1 μM) of CCL28 exhibited direct antimicrobial activity against 5 × 105 CFU of Ab, but not when higher CFU (5 × 108/ml) were used as inoculum in the assay (Figure 1—figure supplement 2C). Given that high Ab CFU were recovered in the lung of wild-type mice (Figure 2B, C), CCL28 does not appear to limit growth of this pathogen in vivo even though it exhibits modest antimicrobial activity in vitro. We thus investigated if alterations in neutrophil accumulation in the lung between wild-type and Ccl28−/− mice could explain the higher lethality of Ccl28−/− mice challenged with Ab lung infection.

CCL28 promotes neutrophil accumulation to the lung during Acinetobacter infection

Prior studies demonstrated neutrophil recruitment to the lungs of Ab-infected mice beginning at 4 hr post-infection and peaking at 1 dpi (van Faassen et al., 2007; Tsuchiya et al., 2012). CCL28 contributed to neutrophil recruitment during STm gut infection, so we analyzed neutrophil recruitment to the lung mucosa 1 day after Ab infection in wild-type and Ccl28−/− mice. Neutrophils (CD11b+ Ly6G+) were the majority of immune cells in the BAL fluid and lungs of both wild-type and Ccl28−/− mice (Figure 2E, F). However, greater cellular infiltrates were recovered in the BAL fluid of wild-type mice compared to Ccl28−/− littermates (Figure 2G). Neutrophils made up the majority of BAL cells in all Ab-infected mice, but were less abundant in Ccl28−/− mice (Figure 2H), while neutrophil percentages in lung tissues, and neutrophil numbers in the blood or bone marrow, did not differ significantly between the wild-type and mutant mice (Figure 2F). Although neutrophil abundance greatly increased in the lungs during Ab infection (Figure 2—figure supplement 1A), no other cell types profiled varied between wild-type and Ccl28−/− mice before or 1 day post-Ab infection (Figure 2—figure supplement 1B–D and Figure 2—figure supplement 2A–C), besides a slight deficiency in lung eosinophil levels in uninfected Ccl28−/− mice (Figure 2—figure supplement 1B). Although substantial lung inflammation was observed in both wild-type and Ccl28−/− mice post-infection (Figure 2I, K), immunofluorescence analysis revealed fewer neutrophils (Ly6G+ cells) in the lungs of Ccl28−/− mice (Figure 2I, J). Levels of elastase, MPO, and S100A9 in the BAL fluid supernatant were higher in Ab-infected mice compared to uninfected controls, with a trend toward lower levels in Ccl28−/− mice (Figure 2—figure supplement 3). Gene expression of IFNγ and IL-1β was significantly lower in Ab-infected lungs of Ccl28−/− mice compared to wild-type mice (Figure 2L), while Cxcl1 gene expression was reduced and the other proinflammatory genes tested (Il17a, Csf3, Tnfa) did not differ (Figure 2L). Therefore, CCL28 contributes to lung inflammation and neutrophil accumulation during Ab pneumonia, similar to its role in STm gut infection.

Gut and BAL neutrophils express receptors CCR3 and CCR10 during infection

CCL28 attracts leukocytes expressing at least one of its receptors, CCR3 or CCR10. CCR10 is found on T cells, B cells, and IgA-secreting plasma cells, whereas eosinophils express CCR3 (Mohan et al., 2017). Although early studies concluded that CCR3 was absent in neutrophils (Höchstetter et al., 2000), later research detected this receptor on neutrophils isolated from patients with chronic inflammation (Hartl et al., 2008). Based on these findings and our observations of CCL28-dependent neutrophil accumulation in the gut during STm colitis and in the lung during Ab infection (Figures 1 and 2), we performed flow cytometry on single-cell suspensions from infected mouse tissues to evaluate surface expression of CCR3 and CCR10. In STm-infected mice, we analyzed the gut, blood, and bone marrow (Figure 3A, B). Both receptors were present on a small subset of bone marrow neutrophils (~4% CCR3, ~0.2% CCR10) and blood neutrophils (~5% CCR3, ~1% CCR10) during infection. However, neutrophils expressing these receptors, particularly CCR3, were enriched in the inflamed gut, with ~20% expressing CCR3 and ~2% expressing CCR10 (Figure 3A, B). Simultaneously staining for both CCR3 and CCR10 showed that ~1% of gut neutrophils from infected wild-type mice expressed both receptors (Figure 3—figure supplement 1A), and infected Ccl28−/− mice expressed similar levels of these receptors as wild-type mice (Figure 3—figure supplement 1B).

Figure 3 with 1 supplement see all
Surface expression of the CCL28 receptors CCR3 and CCR10 on neutrophils from infected tissue, and upon stimulation with proinflammatory stimuli and phagocytosis.

Surface expression of (A, C) CCR3 or (B, D) CCR10 on murine neutrophils obtained from (A, B) the gut, blood, and bone marrow (BM) 3 dpi with STm, or (C, D) the bronchoalveolar lavage (BAL), blood, and bone marrow 1 dpi with Ab, analyzed by flow cytometry. Left panels show representative histograms of (A, C) CCR3 or (B, D) CCR10 expression on the surface of neutrophils (gated on live, CD45+ CD11b+ Ly6G+ cells) from (A, B) the gut (blue), blood (red), and bone marrow (BM; black) or (C, D) BAL (blue), blood (red), and bone marrow (BM; black). Right panels show the percentage of (A, C) CCR3+ or (B, D) CCR10+ neutrophils obtained from (A, B) gut, blood, and BM or (C, D) BAL, blood, and BM. Data are from six independent experiments. (E–H) Uninfected bone marrow neutrophils were unstimulated or treated with the indicated stimuli for 4 hr. Surface expression of (E, G) CCR3 and (F, H) CCR10 on neutrophils was determined by flow cytometry. Left panels show representative histograms of (E, G) CCR3 or (F, H) CCR10 surface expression after stimulation with: (E, F) cytokines IFNγ + TNFɑ + GM-CSF (blue); fMLP (magenta); phorbol 12-myristate 13-acetate (PMA) (purple); lipopolysaccharide (LPS) (red); (G, H) cytokines IFNγ + TNFɑ + Granulocyte-macrophage colony stimulating factor (GM-CSF, blue); beads alone (magenta); cytokines plus beads (red). Right panels show the percentage of (E, G) CCR3+ or (F, H) CCR10+ neutrophils following stimulation with the indicated stimuli. US = unstimulated. Data shown are pooled from two independent experiments. (I, J) Bone marrow cells enriched for neutrophils were infected with opsonized STm at a multiplicity of infection (MOI) = 10 for 1 hr with (violet) or without (red) pretreatment with cytochalasin D for 30 min before infection. Surface expression of (I) CCR3 or (J) CCR10 was determined by flow cytometry. Data are from two independent experiments. Left panels show representative histograms of surface receptor staining on neutrophils, and right panels show the percentages. (A–J, right panels) Bars represent the mean ± standard deviation (SD). (A–D) Data were analyzed by one-way analysis of variance (ANOVA) for paired samples (non-parametric Friedman test), assuming non-normal distribution and non-equal SD given the differences in the variance among the groups, followed by Dunn’s multiple comparisons test. (E–J) Data were analyzed by one-way ANOVA for paired samples, applying the Greenhouse–Geisser correction given the differences in variance among the groups; Bonferroni’s multiple comparison test was performed to compare between relevant stimulation conditions. Significant changes are indicated by *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001; ns, not significant.

Neutrophils isolated from the BAL of Ab-infected wild-type mice also expressed CCR3 and CCR10 surface expression, with ~15% of neutrophils expressing CCR3 (Figure 3C) and ~2% expressing CCR10 (Figure 3D). Simultaneously staining for both CCR3 and CCR10 revealed that ~0.5% of BAL neutrophils from infected wild-type mice expressed both receptors (Figure 3—figure supplement 1C), and infected Ccl28−/− mice expressed similar levels of these receptors as wild-type mice (Figure 3—figure supplement 1D). Surprisingly, a similar percentage of neutrophils isolated from the blood and the bone marrow of Ab-infected mice expressed these receptors compared to BAL neutrophils (Figure 3C, D). These findings suggest that CCR3 and CCR10 expression is higher in neutrophils associated with mucosal tissues, potentially facilitating their accumulation in these tissues or being induced upon recruitment to the mucosal sites.

Proinflammatory stimuli and phagocytosis induce expression of CCR3 and CCR10 on neutrophils

We investigated mechanisms underpinning the upregulation of CCR3 and CCR10 in neutrophils. A prior study indicated that a cocktail of proinflammatory cytokines (GM-CSF, IFNγ, TNFɑ) boosts CCR3 expression in human peripheral blood neutrophils from healthy donors (Hartl et al., 2008), and expression of these cytokines is highly induced during STm colitis (Figure 1F) and Ab pneumonia (Figure 2L). We stimulated bone marrow neutrophils from wild-type mice (which express low levels of CCR3 and CCR10) with these cytokines, and independently with other pro-inflammatory compounds including lipopolysaccharide (LPS), the protein kinase C activator phorbol 12-myristate 13-acetate (PMA), or the N-formylated, bacterial-derived chemotactic peptide fMLP. PMA produced the highest expression of CCR3 (~30% CCR3+ neutrophils, 10-fold induction compared to baseline), while the GM-CSF + IFNγ + TNFɑ cytokine combination or fMLP induced moderate CCR3 expression (~15% CCR3+, a fivefold increase) and LPS yielding the lowest but still significant induction (~10% CCR3+, a threefold increase) (Figure 3E). Trends in CCR10 expression were similar to CCR3, though no stimuli induced more than ~0.5% CCR10+ neutrophils (~1.2- to 2.5-fold higher than baseline) (Figure 3F).

Phagocytosis of microbes and necrotic debris are critical neutrophil functions at tissue foci of infection and inflammation (Uribe-Querol and Rosales, 2020) and are associated with changes in neutrophil gene expression (Kobayashi et al., 2002). We tested whether phagocytosis induced CCR3 and CCR10 expression by incubating bone marrow neutrophils with latex beads, with or without the cytokine cocktail. Phagocytosis of latex beads alone resulted in a small but significant induction of neutrophil CCR3 expression (~8% of neutrophils); however, latex beads augmented with the cytokine cocktail markedly induced CCR3 expression (~25% of neutrophils vs. ~15% with cocktail alone; Figure 3G). This synergistic effect of phagocytosis was not notable for CCR10 (Figure 3H).

To further probe the role of phagocytosis in CCR3 expression, we incubated bone marrow neutrophils with live STm for 1 hr. STm rapidly induced CCR3 expression on the neutrophil surface (~25% of cells; Figure 3I), whereas CCR10 was only minimally induced (Figure 3J). Cytochalasin D, a potent inhibitor of the actin polymerization required for phagocytic uptake, largely blocked CCR3 receptor induction (Figure 3I); however, CCR10 induction was not blocked (Figure 3J), suggesting that a mechanism other than phagocytic uptake likely drives the minor increase in CCR10 expression by neutrophils. Incubation of bone marrow neutrophils with CCL28 (both alone and in the context of STm co-incubation) had negligible effects on CCR3 and CCR10 levels (data not shown). Thus, proinflammatory stimuli and phagocytosis enhance CCR3 and, to a lesser extent, CCR10 expression on the neutrophil surface.

CCR3 is stored intracellularly in neutrophils

Neutrophil intracellular compartments and granules harbor enzymes, cytokines, and receptors necessary for rapid responses to pathogens. For example, activation of human neutrophils induces rapid translocation of complement receptor type 1 (CR1) from an intracellular compartment to the cell surface, increasing its surface expression up to 10-fold (Berger et al., 1991). Given the rapid (within 1 hr) increase of neutrophil CCR3 surface expression upon STm infection, we hypothesized that CCR3, akin to CR1, may be stored intracellularly in neutrophils, consistent with reports of intracellular CCR3 in eosinophils (Spencer et al., 2006).

Uninfected bone marrow neutrophils maintained relatively low surface levels of CCR3 (Figure 4A), but when permeabilized for intracellular staining, almost all (~99%) were CCR3+, indicating intracellular storage (Figure 4B). Upon STm infection in vitro, bone marrow neutrophils increased CCR3 surface expression as quickly as 5 min post-infection, reaching a maximum of ~30% CCR3+ neutrophils at 2 hpi (Figure 4A). These results suggest mobilization of pre-formed receptor from an intracellular compartment (Figure 4B). Intracellular stores of CCR10 were also detected in some bone marrow neutrophils under homeostatic conditions, with a small but significant increase during STm infection (Figure 4—figure supplement 1B). However, CCR10 was expressed on the surface of only ~0.3% uninfected bone marrow neutrophils, increasing to ~0.6% during STm infection (Figure 4—figure supplement 1A). In vitro, Ab infection induced less CCR3 surface expression on neutrophils relative to STm (~7–10%) and took longer to observe the increased CCR3+ staining (Figure 4C), whereas CCR10 did not significantly increase (Figure 4—figure supplement 1C). Most bone marrow neutrophils also expressed intracellular CCR3 (Figure 4D) and CCR10 (Figure 4—figure supplement 1D) during Ab infection. Similar findings were observed in neutrophils isolated from bone marrow, blood, and gut tissue of mice orally infected with STm, and from bone marrow, blood, and BAL fluid of mice infected with Ab, with both intracellular and surface CCR3 observed (Figure 4E, F). CCR3 surface expression levels were higher on neutrophils isolated from the gut relative to other sites (Figure 4E), though levels in the BAL fluid were similar to Ab-infected blood and bone marrow neutrophils (Figure 4F). Neutrophils expressing surface CCR10 were low in all tissues, though slightly higher in the STm-infected gut than in blood and bone marrow, with intracellular stores of CCR10 also observed (Figure 4—figure supplement 1E, F). We conclude that CCR3 is stored intracellularly in neutrophils and rapidly mobilized to the cell surface upon infection, phagocytosis, and/or cytokine stimulation.

Figure 4 with 1 supplement see all
Neutrophil CCR3 is stored in intracellular compartments and rapidly mobilizes to the cell surface during infection.

Neutrophils enriched from wild-type mouse bone marrow were infected at multiplicity of infection (MOI) = 10 for 5 min to 4 hr with (A, B) opsonized Salmonella enterica serovar Typhimurium (STm) or (C, D) Acinetobacter baumannii (Ab). (A, C) Surface CCR3 or (B, D) intracellular CCR3 staining was detected by flow cytometry. Connected symbols represent data from neutrophils collected from the same mouse under different stimulation conditions. Neutrophils were obtained from (E) the gut, blood, and bone marrow 3 dpi with STm or (F) bronchoalveolar lavage (BAL), blood, and bone marrow 1 dpi with Ab. Surface (clear histograms) or intracellular (filled histograms) CCR3 expression was analyzed by flow cytometry. (A–F) Left panels show representative histograms, and right panels show the percentage of neutrophils expressing CCR3 on their surface (clear bars) or intracellularly (filled bars). Bars represent the mean. Data were analyzed by paired t test (A–D) or one-way analysis of variance (ANOVA) followed by Tukey’s multiple comparison test (E, F) on log-transformed data. Significant changes are indicated by *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001; ns, not significant.

CCL28 enhances neutrophil antimicrobial activity, ROS production, and NET formation via CCR3 stimulation

Chemokines are essential for neutrophil migration to infection sites and may regulate additional neutrophil bactericidal effector functions, including the production of ROS and formation of NETs (Capucetti et al., 2020). We tested if CCL28 has chemotactic and/or immunostimulatory activity toward bone marrow neutrophils in vitro after boosting their CCR3 surface expression with the cytokine cocktail (GM-CSF + IFNγ + TNFɑ) as shown in Figure 3. We incubated the neutrophils with CCL28, the well-known neutrophil chemoattractant CXCL1, or with CCL11/eotaxin, a chemokine that binds CCR3 and is induced in the asthmatic lung to promote eosinophil recruitment (Conroy and Williams, 2001; Garcia-Zepeda et al., 1996; Kitaura et al., 1996). We found that CCL28 promoted neutrophil chemotaxis, though not as potently as CXCL1, while CCL11 had no significant effect (Figure 5A).

Figure 5 with 1 supplement see all
CCL28 enhances neutrophil antimicrobial activity.

(A) Murine bone marrow neutrophils were stimulated with IFNγ + TNFɑ + GM-CSF for 4 hr before adding 1 × 106 cells to the upper compartment of a transwell chamber for chemotaxis assays. Each of the chemokines (CCL28, CCL11, or CXCL1), or no chemokine (NC), was placed in separate lower compartments. The transwell plate was incubated for 2 hr at 37°C. Cells that migrated to the lower compartment were enumerated by flow cytometry. Neutrophil chemotaxis index was calculated by taking the number of cells that migrated in response to a chemokine and dividing it by the number of cells that migrated in the absence of a chemokine. Data are from four independent experiments. (B, C) Infection of bone marrow neutrophils. (B) Opsonized STm (1 × 107 CFU) or (C) opsonized Ab (1 × 107 CFU) were cultured alone, or added to bone marrow neutrophils (1 × 106 cells) stimulated with CCL28, CCL11, or no chemokine, for 2.5 hr (STm) or 4.5 hr (Ab) at 37°C. Neutrophils were lysed with 1% Triton-X and surviving bacteria were enumerated by plating serial dilutions. Percentage of bacterial survival was calculated for each condition by taking the CFU from bacteria incubated with neutrophils and dividing it by the CFU from bacteria incubated without neutrophils, multiplied by 100. Data shown for each infection comprise three independent experiments. Bars represent the mean ± standard deviation (SD). (D) The effect of the CCR3 antagonist SB328437 on neutrophil-mediated STm killing was evaluated by performing the experiment as described in panel (B), with or without the antagonist. Data shown comprise three independent experiments. (E–G) Reactive oxygen species (ROS) production (2′,7′-dichlorodihydrofluorescein diacetate [H2DCFDA] conversion to fluorescent DCF) detected by flow cytometry in bone marrow neutrophils infected with STm as described in panel (B). In (F, G), cells were stimulated with CCL28 in the presence of an anti-CCR3 antibody, an anti-CCR10 antibody, or isotype controls. Left panels show representative histograms, and right panels show the percentage of ROS+ neutrophils in the indicated treatment groups. (H, I) Neutrophil extracellular trap (NET) formation detected by fluorescence microscopy using Helix dye in human neutrophils activated with platelets. Cells were unstimulated (no chemokine, NC), stimulated with CCL28 alone, or with CCL28 and the CCR3 agonist SB328737 and/or the CCR10 agonist BI-6901, as indicated. (H) Representative images of fluorescence microscopy with DAPI (blue) and Helix (green). (I) Quantification of NETs represented as percentage of cells forming NETs based on observed morphology. Connected circles represent NET abundance in cell populations from the same donor following different indicated treatments. (A–E) Bars represent the mean ± SD. (A–C) Data were analyzed by non-parametric analysis of variance (ANOVA) (Kruskal–Wallis’s test), assuming non-equal SD given the differences in the variance among the groups, followed by Dunn’s multiple comparisons test. (D, I) Data were analyzed by ratio paired t test. (E–G) Log-transformed data were analyzed by one-way ANOVA for paired samples. Greenhouse–Geisser correction was applied in F and G given the differences in variance among the groups. Tukey’s multiple comparison test was performed to compare all conditions to each other. (I) Ratio paired t tests were used to compare NET levels in samples from the same donor. Significant changes are indicated by *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001; ns, not significant.

To test whether CCL28 stimulation enhanced neutrophil effector function, we incubated STm with bone marrow neutrophils for 2.5 hr with or without CCL28 (50 nM) or CCL11 (50 nM), then quantified bacterial killing. Stimulation with CCL28 significantly increased neutrophil bactericidal activity against STm, with ~40% of the bacterial inoculum cleared, compared to ~10% clearance by unstimulated neutrophils (Figure 5B). Neutrophils stimulated with CCL11 displayed an intermediate phenotype (~25% bacterial killing). Neither chemokine exhibited direct antimicrobial activity against STm (Figure 1—figure supplement 2D). In contrast, ex vivo neutrophil killing of Ab was not significantly enhanced by CCL28 or CCL11 treatment (Figure 5C). Thus, although CCL28 modulates neutrophil accumulation in the lung during Ab infection (Figure 2D–J), it fails to reduce pathogen burden in the lung (Figure 2B) likely because CCL28 stimulation does not enhance neutrophil bactericidal activity against Ab.

Our data indicate that CCR3 is the primary CCL28 receptor expressed in neutrophils during STm infection (Figure 3I and 4). We tested whether the CCL28-mediated increase in neutrophil bactericidal activity could be reversed using SB328437, a CCR3 antagonist (White et al., 2000). SB328437 reversed the effects of both CCL28 and CCL11 on neutrophils, confirming receptor specificity (Figure 5D). An important mechanism of bacterial killing is the production of ROS (Fang, 2011), which is triggered by infection and enhanced by proinflammatory stimuli including cytokines and chemokines (Nguyen et al., 2017). We measured ROS production by incubating neutrophils with the cell-permeable probe 2′,7′-dichlorodihydrofluorescein diacetate (H2DCFDA), which forms the fluorescent byproduct 2′,7′-dichorofluorescein (DCF) when oxidized by ROS, and found that CCL28 stimulation enhanced neutrophil ROS production during STm infection (Figure 5E). The increased ROS production triggered by CCL28 was reversed when neutrophils were incubated with an anti-CCR3 blocking antibody (Figure 5F), but not with an anti-CCR10 blocking antibody (Figure 5G).

In addition to their direct antimicrobial activity, ROS trigger other neutrophil responses, including NET formation (Nguyen et al., 2017). NETs can be induced by various stimuli, including microbial products, inflammatory cytokines and chemokines, immune complexes, and activated platelets (Boeltz et al., 2019). To determine whether CCL28 enhances NET formation, we incubated human neutrophils with activated platelets with or without CCL28, then incubated the cells with the DNA-staining dyes DAPI and HELIX, and evaluated NET formation by fluorescence microscopy (Figure 5H). Incubation with activated platelets and CCL28 increased the percentage of NETs compared to neutrophils not stimulated with CCL28 (Figure 5H, I). Complementary experiment, analyzing DNA–MPO complexes confirmed an increased percentage of DNA–MPO complexes in response to platelet and CCL28 stimulation (Figure 5—figure supplement 1). The effect of CCL28 on platelet-activated NET formation was primarily mediated by CCR3, as the CCR3 antagonist SB328437 significantly reduced the percentage of observable NET+ neutrophils (Figure 5H1) and DNA–MPO complexes (Figure 5—figure supplement 1). In contrast, the CCR10 antagonist BI-6901 did not significantly reduce NET formation, and combined antagonism of CCR3 and CCR10 had an effect similar to CCR3 antagonism alone (Figure 5H1, Figure 5—figure supplement 1). Together, these results demonstrate that CCL28 enhances neutrophil ROS production and NET formation primarily in a CCR3-dependent manner.

Discussion

The mucosal immune response serves to maintain tissue homeostasis and to protect the host against invading pathogens. Here, we discovered that the chemokine CCL28 significantly contributes to neutrophil accumulation and activation in the mucosa during gastrointestinal infection with Salmonella and lung infection with Acinetobacter.

Consistent with our initial observation that Ccl28−/− mice exhibit higher mortality during STm infection (Burkhardt et al., 2019), we found higher intestinal colonization and extraintestinal dissemination of STm in Ccl28−/− mice compared to their wild-type littermates (Figure 1). This beneficial role for CCL28 was negligible when the pathogen was inoculated intraperitoneally to bypass the gut mucosa (Figure 1—figure supplement 2). Although CCL28 exerts direct antimicrobial activity against some bacteria and fungi (Hieshima et al., 2003), it does not directly inhibit STm wild-type in vitro (Figure 1—figure supplement 2). Although CCL28 receptors CCR3 and CCR10 are expressed on eosinophils and on B and T cells (Pan et al., 2000; Höchstetter et al., 2000; Wang et al., 2000), the protective role of CCL28 during Salmonella infection does not seem to involve these cell types, as they did not vary in abundance between wild-type and Ccl28−/− mice during infection (Figure 1—figure supplements 4 and 5). However, it is still possible that CCL28 modulates B and T cell responses in chronic model of Salmonella infection, which could be explored in future studies using attenuated Salmonella strains (Hapfelmeier et al., 2005), or mice genetically more resistant to Salmonella because they express a functional Nramp1 (Monack et al., 2004).

Neutrophils are a hallmark of inflammatory diarrhea and are rapidly recruited to the gut following infection in the Salmonella colitis model. We found that neutrophil numbers were significantly reduced in the mucosa of infected Ccl28−/− relative to wild-type mice (Figure 1), identifying CCL28 as a key factor for neutrophil accumulation during infection. Neutrophils migrate from the bone marrow to the blood and to infected sites following a chemokine gradient (Capucetti et al., 2020), expressing various chemokine receptors including CXCR1, CXCR2, CXCR4, and CCR2, and under certain circumstances, CCR1 and CCR6 (Kobayashi, 2008). CXCR2 is a promiscuous receptor that binds to the chemokines CXCL1, 2, 3, 5, 6, 7, and 8 (Ahuja and Murphy, 1996), whereas CXCR1 only binds CXCL6 and CXCL8 (Capucetti et al., 2020). Activation of CXCR2 mobilizes neutrophils from the bone marrow to the bloodstream and participates in NET release (Marcos et al., 2010). Engagement of CXCR1 and CXCR2 also triggers signaling pathways boosting production of cytokines and chemokines that amplify neutrophil responses (Sabroe et al., 2005). Following extravasation to the site of infection, neutrophils downregulate CXCR2 and upregulate CCR1, 2, and 5, which cumulatively boosts neutrophil ROS production and phagocytic activity (Capucetti et al., 2020). Our results indicate that CCL28 contributes to neutrophil accumulation and activation (Figure 1), with its receptors CCR3 and CCR10 upregulated in the mucosa during infection, where up to ~50% of neutrophils express surface CCR3 (Figure 3). The reciprocal regulation of CXCR2 and CCR3/CCR10 in neutrophils and each receptor’s contribution to neutrophil migration and retention during infectious colitis requires further study.

Although an initial study concluded CCR3 was absent on neutrophils (Höchstetter et al., 2000), subsequent studies reported CCR3 expression on human neutrophils isolated from patients with chronic lung disease (Hartl et al., 2008) and on neutrophils isolated from the BAL fluid of mice infected with influenza (Rudd et al., 2019). Our study demonstrates that a substantial number of neutrophils isolated from infected mucosal sites express CCR3, and fewer express CCR10 on their surface, while resting neutrophils do not express these receptors on their surface (Figure 3). The rapid surface expression of CCR3 on neutrophils upon infection suggests that the receptor is stored intracellularly, similar to eosinophils (Spencer et al., 2006). Indeed, neutrophils isolated from bone marrow, blood, and infected mucosal tissue were all positive for CCR3 intracellular staining (Figure 4). In vitro, we could recapitulate the increase in surface receptor expression by incubating bone marrow neutrophils with proinflammatory stimuli (LPS, or the cytokines GM-CSF + IFNγ + TNFɑ) or following phagocytosis of bacterial pathogens (Figure 3). CCL28 stimulation of bone marrow neutrophils in vitro increased their antimicrobial activity and ROS production during Salmonella infection, which was reverted by blocking CCR3 but not CCR10 (Figure 5). Platelet-activated neutrophils stimulated with CCL28 also showed enhanced NET formation, largely in a CCR3-dependent manner (Figure 5). Thus, CCL28 is a potent activator of neutrophils, primarily via CCR3. Further studies with receptor knockout mice are needed to determine the contribution of each CCL28 receptor to the in vivo phenotypes.

A reduction of neutrophil accumulation was also observed in the BAL and lung of Ccl28−/− mice during Acinetobacter infection (Figure 2), with neutrophils recruited to the lung harboring surface CCR3 and CCR10 (Figures 3 and 4). However, the functional consequence of CCL28 deficiency was strikingly different in this model, as Ccl28−/− mice were protected during Ab pneumonia. Most Ccl28−/− mice survived until the experiment’s endpoint at 10 dpi, whereas nearly all wild-type littermates succumbed by 2 dpi (Figure 2). The lung, possessing a thin, single-cell alveolar layer to promote gas exchange, is less resilient than the intestine to neutrophil inflammation before losing barrier integrity and critical functions. Thus, although insufficient neutrophil recruitment can lead to life-threatening infection, extreme accumulation of neutrophils can result in excessive inflammatory lung injury (Craig et al., 2009). The high survival of Ccl28−/− mice infected with Ab indicates that CCL28 may be detrimental for the host in the context of some pulmonary infections. While functioning neutrophils have been described to play a role in controlling Acinetobacter infection (van Faassen et al., 2007; García-Patiño et al., 2017; Grguric-Smith et al., 2015), excessive neutrophil recruitment can exacerbate lung injury (Yamada et al., 2013; Zeng et al., 2020; Zeng et al., 2019). For instance, depletion of alveolar macrophages in one Acinetobacter pneumonia study increased neutrophil infiltration, promoted tissue damage, and increased systemic dissemination of the pathogen (Lee et al., 2020). In contrast to Salmonella, CCL28 stimulation did not enhance neutrophil antimicrobial activity against Acinetobacter, which may partly explain the lack of a protective response (Figure 5). Further investigation is required to understand why Acinetobacter may be resistant to CCL28-dependent neutrophil antimicrobial responses.

Even though CCL28 exhibited direct antimicrobial activity against Acinetobacter, higher concentrations of CCL28 (1 μm) are needed for protection and were not sufficient against higher pathogen burdens (Figure 1—figure supplement 2). These findings align with prior studies indicating that the host response to infection can be context-dependent, with some immune components mediating different outcomes in the gut and in the lung. For example, Cxcr2−/− mice exhibit a defect in neutrophil recruitment that is detrimental during Salmonella infection (Marchelletta et al., 2015) but protective during lung infection with Mycobacterium tuberculosis due to reduced neutrophil recruitment and reduced pulmonary inflammation (Nouailles et al., 2014). Similarly, CCL28-dependent modulation of neutrophil accumulation and activation during infection can be protective or detrimental depending on the pathogen and the site of infection.

Overall, this study demonstrates that CCL28 plays an important role in the mucosal response to pathogens by promoting neutrophil accumulation at the site of infection. Neutrophils isolated from infected mucosa express the CCL28 receptors CCR3 and CCR10, and CCL28 enhances neutrophil activation, ROS production, and NET formation, primarily through CCR3. These findings have implications for other infectious and non-infectious diseases where neutrophil recruitment plays a major role, and may lead to the identification of CCL28-targeted therapies to modulate neutrophil function and mitigate collateral damage.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain background (Salmonella enterica)S. enterica serovar
Typhimurium strain IR715
Lab stock; PMID:7868611Nalidixic acid-resistant derivative of strain ATCC 14028s
Strain, strain background (Salmonella enterica)S. Typhimurium IR715 ΔphoQLab stock; from Michael McClelland PMID:19578432PhoQ coding sequence disrupted by a kanamycin cassette
Strain, strain background (Escherichia coli)E. coli K12 strain MG1655Lab StockATCC Cat#700926
Strain, strain background (Acinetobacter baumannii)A. baumannii strain AB5075Walter Reed Medical Center; PMID:24865555
Genetic reagent (Mus musculus)C57BL/6 Ccl28::NeorDeltagen; PMID:30855201Obtained from Albert Zlotnik (UC Irvine); Allelic exchange into Ccl28
Genetic reagent (Mus musculus)C57BL/6 Ccl28−/−
(C57BL/6JCya-Ccl28em1/Cya)
Cyagen BiosciencesProduct Number: S-KO-17095;
RRID:MGI:1861731
Generated by CRISPR/Cas9-mediated deletion of exons 1–3
Biological sample (Homo sapiens)Primary human blood neutrophilsHuman volunteers, UNAMFreshly isolated from human volunteers
Biological sample (Mus musculus)Primary bone marrow cellsC57BL/6 Ccl28+/+ mice, UC San DiegoFreshly isolated from wild-type mice of the Ccl28 colony
AntibodyAnti-mouse CD16/CD32
(Rat monoclonal; unconjugated
Fc Block)
BioLegendClone: 93; Cat#101302;
RRID:AB_312801
FC (1:50)
AntibodyAnti-mouse CD45
(Rat monoclonal; Pacific Blue)
BioLegendClone: 30-F11; Cat#103126;
RRID:AB_493535
Sony SA3800 FC (1:800);
FACSCantoII FC (1:400)
AntibodyAnti-mouse/human CD11b
(Rat monoclonal; Spark Blue 550)
BioLegendClone: M1/70; Cat#101290;
RRID:AB_2922452
FC (1:400)
AntibodyAnti-mouse Ly6G
(Rat monoclonal; Brilliant Violet 421)
BioLegendClone: 1A8; Cat#127628;
RRID:AB_2562567
FC (1:1600)
AntibodyAnti-mouse CD170 (SiglecF)
(Rat monoclonal; PE/Dazzle 594)
BioLegendClone: S17007L; Cat#155530;
RRID:AB_2890716
FC (1:400)
AntibodyAnti-mouse CCR3
(Rat monoclonal; PE)
R&D BiosystemsClone: 83103; Cat#FAB729P;
RRID:AB_2074151
FC (1:100)
AntibodyAnti-mouse CCR10
(Rat monoclonal; APC)
R&D BiosystemsClone: 248918; Cat#FAB2815;
RRID:AB_1151964
FC (1:100)
AntibodyAnti-mouse CD11c
(Armenian Hamster monoclonal; Brilliant Violet 421)
BioLegendClone: N418; Cat#117343;
RRID:AB_2563099
FC (1:400)
AntibodyAnti-mouse Ly6G
(Rat monoclonal; FITC)
BioLegendClone: 1A8; Cat#127606;
RRID:AB_1236494
FC (1:400)
AntibodyAnti-mouse CD170 (SiglecF)
(Rat monoclonal; FITC)
BioLegendClone: S17007L; Cat#155503;
RRID:AB_2750232
FC (1:400)
AntibodyAnti-mouse F4/80
(Rat monoclonal; PE/Dazzle 594)
BioLegendClone: BM8; Cat#123146;
RRID:AB_2564133
FC (1:400)
AntibodyAnti-mouse CD8a
(Rat monoclonal; Brilliant Violet 421)
BioLegendClone: 53-6.7; Cat#100737;
RRID:AB_10897101
FC (1:1600)
AntibodyAnti-mouse CD3
(Rat monoclonal; FITC)
BioLegendClone: 17A2; Cat#100204;
RRID:AB_312661
FC (1:400)
AntibodyAnti-mouse CD4
(Rat monoclonal; PerCP/Cyanine5.5)
BioLegendClone: RM4-5; Cat#100539;
RRID:AB_893332
FC (1:800)
AntibodyAnti-mouse CD8a
(Rat monoclonal; PE)
BioLegendClone: 53-6.7; Cat#100708;
RRID:AB_312747
FC (1:1600)
AntibodyAnti-mouse CD19
(Rat monoclonal; Alexa Fluor 700)
BioLegendClone: 6D5; Cat#115528;
RRID:AB_493735
FC (1:400)
AntibodyAnti-mouse/human CD11b
(Rat monoclonal; APC)
BioLegendClone: M1/70; Cat#101212;
RRID:AB_312795
FC (1:800)
AntibodyAnti-mouse/human CD11b
(Rat monoclonal; Brilliant Violet 510)
BioLegendClone: M1/70; Cat#101245;
RRID:AB_2561390
FC (1:400)
AntibodyAnti-mouse F4/80
(Rat monoclonal; FITC)
BioLegendClone: BM8; Cat#123108;
RRID:AB_893502
FC (1:200)
AntibodyAnti-mouse Ly6G
(Rat monoclonal; PerCP)
BioLegendClone: 1A8; Cat#127654;
RRID:AB_2616999
FC (1:400)
AntibodyAnti-mouse CD170 (SiglecF)
(Rat monoclonal; APC)
BioLegendClone: S17007L; Cat#155508;
RRID:AB_2750237
FC (1:400)
AntibodyAnti-mouse CD11c
(Armenian Hamster monoclonal; PE/Cyanine7)
BioLegendClone: N418; Cat#117317;
RRID:AB_493569
FC (1:400)
AntibodyAnti-mouse CD19
(Rat monoclonal; PE/Cyanine7)
BioLegendClone: 6D5; Cat#115520;
RRID:AB_313655
FC (1:400)
AntibodyAnti-mouse CCR3
(Rat monoclonal; unconjugated)
R&D SystemsClone: 83103; Cat#MAB1551;
RRID:AB_2074150
In vitro signaling blockade
(5 µg/100 µl)
AntibodyAnti-mouse CCR10
(Rat monoclonal; unconjugated)
R&D SystemsClone: 248918; Cat#MAB2815;
RRID:AB_2074258
In vitro signaling blockade
(5 µg/100 µl)
AntibodyRat IgG2A Isotype Control Antibody
(Rat monoclonal; unconjugated)
R&D SystemsClone: 54447; Cat#MAB006;
RRID:AB_357349
In vitro signaling blockade
(5 µg/100 µl)
AntibodyAnti-mouse Ly6G
(Rat monoclonal; unconjugated)
BioLegendClone: 1A8; Cat#127601;
RRID:AB_1089179
Lung neutrophil IF (1:100)
AntibodyGoat Anti-rat IgG (H+L)
Cross-Adsorbed Secondary Antibody
(Goat polyclonal; Alexa Fluor 555)
InvitrogenCat#A-21434;
RRID:AB_2535855
Lung neutrophil IF: (1:400)
AntibodyHuman TruStain FcX
(Human monoclonal mix; unconjugated Fc Receptor blocking solution)
BioLegendCat#422302;
RRID:AB_2818986
FC (1:100)
AntibodyAnti-human CD45
(Mouse monoclonal; PerCP/Cyanine5.5)
BioLegendClone: HI30; Cat#304028;
RRID:AB_893338
FC (1:300)
AntibodyAnti-mouse/human CD11b
(Rat monoclonal; Pacific Blue)
BioLegendClone: M1/70; Cat#101224;
RRID:AB_755986
FC (1:200)
AntibodyAnti-human CD62L
(Mouse monoclonal; FITC)
BioLegendClone: DREG-56; Cat#304838;
RRID:AB_2564162
FC (1:300)
AntibodyAnti-human CCR3
(Rat monoclonal; PE)
R&D SystemsClone: 61828; Cat#FAB155P;
RRID:AB_2074157
FC (1:100)
AntibodyAnti-human CCR10
(Rat monoclonal; APC)
R&D SystemsClone: 314305; Cat#FAB3478A;
RRID:AB_573043
FC (1:100)
AntibodyAnti-human myeloperoxidase
(Mouse monoclonal; Biotin-conjugated)
Novus BiologicalsClone MPO421-8B2; Cat#NBP2-41406BFC (1:50)
Sequence-based reagentMouse Actb qPCR primersIDTForward: GGCTGTATTCCCCTCCATCG;
Reverse: CCAGTTGGTAACAATGCCATGT
Sequence-based reagentMouse Cxcl1 qPCR primersIDTForward: TGCACCCAAACCGAAGTCAT;
Reverse: TTGTCAGAAGCCAGCGTTCAC
Sequence-based reagentMouse Tnf qPCR primersIDTForward: CATCTTCTCAAAATTCGAGTGACAA;
Reverse: TGGGAGTAGACAAGGTACAACCC
Sequence-based reagentMouse Ifng qPCR primersIDTForward: TCAAGTGGCATAGATGTGGAAGAA;
Reverse: TGGCTCTGCAGGATTTTCATG
Sequence-based reagentMouse Csf3 qPCR primersIDTForward: TGCTTAAGTCCCTGGAGCAA;
Reverse: AGCTTGTAGGTGGCACACAA
Sequence-based reagentMouse Il1b qPCR primersIDTForward: CTCTCCAGCCAAGCTTCCTTGTGC;
Reverse: GCTCTCATCAGGACAGCCCAGGT
Sequence-based reagentMouse Il17a qPCR primersIDTForward: GCTCCAGAAGGCCCTCAGA;
Reverse: AGCTTTCCCTCCGCATTGA
Peptide, recombinant proteinRecombinant Mouse CCL28 (MEC)BioLegendCat#584706In vitro killing: various concentrations (indicated in text)
Peptide, recombinant proteinRecombinant Mouse CCL28 ProteinR&D SystemsCat#533-VIChemotaxis: 50 nM; neutrophil stimulation: 50 nM
Peptide, recombinant proteinRecombinant Mouse CCL11/Eotaxin ProteinR&D SystemsCat#420-MEChemotaxis: 50 nM; neutrophil stimulation: 25 nM
Peptide, recombinant proteinRecombinant Murine KC (CXCL1)PeprotechCat#250–11Chemotaxis: 50 nM
Peptide, recombinant proteinRecombinant human CCL28BioLegendCat#584602Neutrophil stimulation: 50 nM
Peptide, recombinant proteinRecombinant Mouse TNF-αBioLegendCat#575202Neutrophil stimulation: 100 ng/ml
Peptide, recombinant proteinRecombinant Mouse IFN-γBioLegendCat#575304Neutrophil stimulation: 500 U/ml
Peptide, recombinant proteinRecombinant Mouse GM-CSFBioLegendCat#576302Neutrophil stimulation: 10 ng/ml
Peptide, recombinant proteinLPS-B5 UltrapureInvivogenCat#tlrl-pb5lpsMouse neutrophil stimulation: 100 ng/ml
Commercial assay or kitEasySep Mouse Neutrophil Enrichment KitSTEMCELL TechnologiesCat#19762
Commercial assay or kitEasySep Direct Human Neutrophil Isolation KitSTEMCELL TechnologiesCat#19666
Commercial assay or kitMouse CCL28 ELISA Max DeluxeBioLegendCat# 441304
Commercial assay or kitMouse Myeloperoxidase DuoSet ELISA KitR&D SystemsCat#DY3667
Commercial assay or kitMouse Neutrophil Elastase/ELA2 DuoSet ELISA KitR&D SystemsCat#DY4517
Commercial assay or kitMouse S100a9 DuoSet ELISA KitR&D SystemsCat#DY2065
Commercial assay or kitPowerUp SYBR Green Master Mix for qPCRApplied Biosystems (Thermo Fisher)Cat#A25742
Commercial assay or kitSuperScript VILO cDNA Synthesis KitThermo FisherCat#11766500
Commercial assay or kiteBioscience Fixable Viability Dye eFluor 780Thermo FisherCat#65-0865-14FC (1:1000)
Chemical compound, drugfMLP (N-Formyl-Met-Leu-Phe)Sigma-AldrichCat#F3506Neutrophil stimulation: 1 µM
Chemical compound, drugPMA (Phorbol 12-myristate 13-acetate)Sigma-AldrichCat#79346Neutrophil stimulation: 100 nM
Chemical compound, drugCytochalasin DSigma-AldrichCat#C8273Incubated cells at 10 µM
Chemical compound, drugSB328437 [N-(1-naphthalenylcarbonyl)-4-nitro-L-phenylalanine methyl ester]Tocris BioscienceCat#3650CCR3 antagonist (10 µM)
Chemical compound, drugBI-6901 (N-[(1R)-3-(2-Cyano-1H-pyrrol-1-yl)-1-[(4-methyl-1-piperidinyl)carbonyl]propyl]-1H-indole-4-sulfonamide)Gift from Boehringer-Ingelheim Pharma GmbH & Co KGCCR10 antagonist (20 µM)
Chemical compound, drugXylazineVetOneCat#RX-0065Used for temporary anesthesia: 10 mg/kg, i.p.
Chemical compound, drugKetamineZoetisCat#000680Used for temporary anesthesia: 100 mg/kg, i.p
Chemical compound, drugNalidixic acid sodium saltFisher ScientificCat#AAJ635501450 µg/ml for selection
Chemical compound, drugStreptomycin sulfateFisher ScientificCat#5711For oral gavage (20 mg/mouse)
Software, algorithmGraphPad Prism 10.0GraphPad SoftwareRRID:SCR_002798
Software, algorithmFlowJo 10.8.1BD BiosciencesRRID:SCR_008520
Software, algorithmQuantStudio 5 Reat-Time PCR SystemThermo Fisher ScientificRRID:SCR_020240
Software, algorithmQuPath Analysis SoftwareQuPath (PMID:29203879)RRID:SCR_018257
OtherDMSOMillipore SigmaCat#EM-MX1458-6Used at 0.1% for vehicle for cytochalasin D during in vitro infection assays described in the Materials and methods
Other2′,7′-Dichlorodihydrofluorescein diacetateInvitrogenCat#D399Used at 25 µM for incubation of neutrophils for detection of ROS production by neutrophils, as described in the Materials and methods
OtherTRI ReagentSigma-AldrichCat#T9424Used for RNA isolation from tissues, described in Materials and methods section ‘RNA extraction and qPCR’
OtherSlowFade Gold Antifade MountantInvitrogenCat#36936Used for staining and mounting immunoflourescent lung sections, described in Materials and methods section ‘Immunofluorescence’
OtherAPC/Cy7 StreptavidinBioLegendCat#405208For tagging biotin-conjugated anti-human myeloperoxidase; FC (1:1000)
OtherOneComp eBeadsThermo FisherCat#01-1111-42Added to cells at 5 × 105 beads per 1 × 106 cells, as described in the Materials and methods section ‘In vitro neutrophil stimulation’
OtherCollagenase, Type VIIISigma-AldrichCat#C2139For tissue digestion, as described in the Materials and methods: 1 mg/ml
OtherLiberaseSigma-AldrichCat#5401020001For tissue digestion, as described in the Materials and methods: 20 µg/ml
OtherDNase ISigma-AldrichCat#DN25For tissue digestion, as described in the Materials and methods: 0.25 mg/ml
OtherHelix NP GreenBioLegendCat#425303For staining neutrophil DNA, as described in the Materials and methods. FC: 10 nM; immuno-fluorescence: 5 µM
OtherLB Broth, MillerFisher ScientificCat#DF0446-17-3Used for routine culturing of S. Typhimurium, described in Materials and methods section ‘Salmonella infection models’
OtherLB agar, MillerFisher ScientificCat#DF0445-17-4Used for growth and enumeration of S. Typhimurium and Acinetobacter CFUs, as described throughout the Materials and methods section
OtherMueller-Hinton BrothFisher ScientificCat#DF0757-17-6Used for routine culturing of A. baumannii, described in Materials and methods section ‘Acinetobacter infection model’
OtherDPBSGibcoCat#14190250Used for washing or resuspension of various cells and bacteria, as described throughout the Materials and methods section
OthercOmplete, Mini, EDTA-free Protease Inhibitor CocktailSigma-AldrichCat#4693159001Used for fecal protease inhibition as described in the Materials and methods
OtherFetal bovine serum (FBS), heat-inactivatedGibcoCat#A3840001Used for general cell preservation and assays as described in the Materials and methods
OtherAntibiotic–antimycoticGibcoCat#15-240-062Used for general tissue cell preservation as described in the Materials and methods
OtherRPMI 1640 Medium, with L-glutamineGibcoCat#11875-119Used for general tissue cell preservation and assays as described in the Materials and methods
OtherRPMI 1640 Medium, no glutamine, no phenol redGibcoCat#32404014Used for H2DCFDA ROS assays as described in the Materials and methods
OtherIMDMGibcoCat#12440061Used for gut tissue cell isolation as described in the Materials and methods
OtherHank’s Balanced Salt SolutionFisher ScientificCat#MT21021CVUsed for gut tissue cell isolation as described in the Materials and methods
OtherHEPESGibcoCat#15630080Used for general tissue cell preservation and assays as described in the Materials and methods
OtherEDTAFisher ScientificCat#S311-500Used for collection of mouse blood, and for lung and gut tissue cells isolation as described in Materials and methods section ‘Cell extraction and analysis’
OtherBovine serum albumin (BSA)Fisher ScientificCat#BP9703100Added to various media for the purpose of blocking non-specific interactions, as described in the Materials and methods sections ‘Cell extraction and analysis’ and ‘Chemotaxis assay’

Generation and breeding of Ccl28−/− mice

Request a detailed protocol

The first colony of Ccl28−/− mice was described in a prior manuscript (Burkhardt et al., 2019) and used for initial studies at UC Irvine. At UC San Diego, we generated a new colony of Ccl28−/− mice with Cyagen Biosciences (Santa Clara, California), using CRISPR/CAS9 technology. Exons 1 and 3 were selected as target sites, and two pairs of gRNA targeting vectors were constructed and confirmed by sequencing. The gRNA and Cas9 mRNA were generated by in vitro transcription, then co-injected into fertilized eggs for knockout mouse production. The resulting pups (F0 founders) were genotyped by PCR and confirmed by sequencing. F0 founders were bred to wild-type mice to test germline transmission and for F1 animal generation. Tail genotyping of offspring was performed using the following primers:

F: 5′-TCATATACAGCACCTCACTCTTGCCC-3, R: 5′-GCCTCTCAAAGTCATGCCAGAGTC-3′ and He/Wt-R: 5′-AGGGTGTGAGGTGTCCTTGATGC -3′. The expected product size for the wild-type allele is 466 bp and for the knockout allele is 700 bp.

All mouse experiments were conducted with cohoused wild-type and Ccl28−/− littermate mice, and were reviewed and approved by the Institutional Animal Care and Use Committees at UC Irvine (protocol #2009-2885) and UC San Diego (protocols #S17107 and #S00227M).

Salmonella infection models

Request a detailed protocol

For the Salmonella colitis model, 8- to 10-week-old male and female mice were orally gavaged with 20 mg streptomycin 24 hr prior to oral gavage with 109 CFU of S. enterica serovar Typhimurium strain IR715 (a fully virulent, nalidixic acid-resistant derivative of ATCC 14028s) (Stojiljkovic et al., 1995), as previously described (Barthel et al., 2003; Walker et al., 2023; Raffatellu et al., 2009). Mice were euthanized at 2 or 3 days post-infection, then colon content, spleen, mesenteric lymph nodes, Peyer’s patches, blood, and bone marrow were collected, weighed, homogenized, serially diluted, and plated on Miller Lysogeny broth (LB) + Nal (nalidixic acid, 50 µg/ml) agar plates to enumerate Salmonella CFU. Mice displaying extremely poor colonization in 1 dpi (≤103 CFU/mg feces) or extremely high weight loss 1 dpi (≥8% loss from the day of infection) were excluded from downstream analyses due to likely technical errors during inoculation. For the Salmonella bacteremia model, mice were injected intraperitoneally with 103 CFU. Mice were euthanized at 4 days post-infection, then blood, spleen, and liver were collected to determine bacterial counts.

Acinetobacter infection model

Request a detailed protocol

For the murine pneumonia model, A. baumannii strain AB5075 was cultured in Cation-Adjusted Mueller-Hinton Broth (CA-MHB) overnight, then subcultured the next day to an OD600 of ~0.4 (1 × 108 CFU/ml; mid-logarithmic phase). These cultures were centrifuged at 3202 × g for 10 min, the supernatant was removed, and pellets were resuspended and washed in an equal volume of 1× Dulbecco’s PBS (DPBS) three times. The final pellet was resuspended in 1× DPBS to yield a suspension of 2.5  ×  109 CFU/ml. Using an operating otoscope (Welch Allyn), mice under 100 mg/kg ketamine (Koetis) + 10 mg/kg xylazine (VetOne) anesthesia were inoculated intratracheally with 40 μl of the bacterial suspension (108 CFU/mouse). Post-infection mice were recovered on a sloped heating pad. For analysis of bacterial CFU, mice were sacrificed 1 day post-infection, the BAL, blood, and lungs were collected, and serial dilutions were plated on LB agar to enumerate bacteria (Dillon et al., 2019).

CCL28 ELISA

Request a detailed protocol

Fresh fecal and blood samples were collected at 4 days post-infection from wild-type mice for quantification of CCL28. Fecal pellets were weighed, resuspended in 1 ml of sterile PBS containing a protease inhibitor cocktail (Roche), and incubated at room temperature shaking for 30 min. Whole-blood samples were collected by cardiac puncture and allowed to clot at room temperature for 30 min. Samples were centrifuged at 9391 × g for 10 min, supernatant/serum was collected, then analyzed to quantify CCL28 using a sandwich ELISA kit (BioLegend).

Cell extraction and analysis

Request a detailed protocol

For the Salmonella colitis model, the terminal ileum, cecum, and colon were collected at indicated time points, either 2 or 3 days post-infection. All tissues were kept in Iscove’s Modified Dulbecco’s Medium (IMDM) supplemented with 10% fetal bovine serum (FBS, Gibco) and 1% antibiotic/antimycotic (Gibco). Next, any Peyer’s patches were removed, and the intestinal fragments were cut open longitudinally and washed with Hank’s Balanced Salt Solution (HBSS) supplemented with 15 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) and 1% antibiotic/antimycotic. Then, the tissue was shaken in 10 ml of an HBSS/15 mM HEPES/5 mM ethylenediaminetetraacetic acid (EDTA)/10% FBS solution at 37°C for 15 min. The supernatant was removed and kept on ice. The remaining tissue was cut into small pieces and digested in a 10 ml mixture of collagenase (Type VIII, 1 mg/ml), Liberase (20 µg/ml), and DNAse (0.25 mg/ml) in IMDM medium for 15 min, shaking at 37°C. Afterwards, the supernatant and tissue fractions were strained through a 70-µm cell strainer and pooled, and the extracted cells were used for flow cytometry staining. For the A. baumannii infection model, the lungs were collected, minced, and processed with collagenase and DNase as described above for the gut. BAL was collected by instilling 1 ml DPBS/10 mM EDTA via the trachea into the lungs, and recovering the majority (~700–900 µl) into a syringe after 20 s. The lavage fluid was centrifuged, and pellets were washed with 1× PBS. Samples where less than 500 µl of the fluid was recovered (indicating improper syringe placement during collection) were excluded from downstream analyses. The obtained cells were used for flow cytometry staining. Briefly, cells were blocked with a CD16/32 antibody (BioLegend), stained with the fixable viability dye eFluor780 (Thermo Fisher), then extracellularly stained using the following conjugated monoclonal antibodies: anti-mouse CD45 (clone 30-F11), anti-mouse CD3 (clone 17A2), anti-mouse CD4 (clone RM4-5), anti-mouse CD8α (clone 53-6.7), anti-mouse CD19 (clone 1D3/CD19), anti-mouse Ly6G (clone 1A8), anti-mouse CD11b (clone M1/70), anti-mouse SiglecF (clone S17007L), anti-mouse F4/80 (clone BM8), anti-mouse CD11c (clone N418) from BioLegend; anti-mouse CCR3 (clone 83101), and anti-mouse CCR10 (clone 248918) from R&D Systems. After staining, cells were washed with DPBS + 0.5% bovine serum albumin (BSA) and either immediately analyzed on a SA3800 flow cytometer (Sony Biotechnology), or first fixed for 20 min with 4% paraformaldehyde (Fixation buffer; BioLegend) and analyzed later. When intracellular staining was performed, cells were permeabilized in Permeabilization buffer (BioLegend), re-blocked with the CD16/32 antibody, and the staining was performed in the same buffer following the manufacturer’s instructions. In different experiments, cells were analyzed using a SA3800 Spectral Cell analyzer, a BD FACSCanto II flow cytometer (BD Biosciences), and a LSRII flow cytometer (BD Biosciences), and the collected data were analyzed with FlowJo v10 software (TreeStar). For analysis of human neutrophils, whole-blood samples were collected in EDTA for cellular analyses. Whole-blood cell staining was performed using an Fc receptor blocking solution (Human TruStain FcX; BioLegend), the viability dye eFluor780 (Thermo Fisher), and the following conjugated monoclonal antibodies: PerCP/Cy5.5 anti-human CD45 antibody (clone HI30), Pacific Blue anti-mouse/human CD11b antibody (clone M1/70), FITC anti-human CD62L antibody (clone DREG-56), from BioLegend; PE anti-human CCR3 antibody (clone 61828), and APC anti-human CCR10 antibody (clone 314305) from R&D Systems. Samples were analyzed by flow cytometry using an LSR Fortessa flow cytometer (BD Biosciences), and data were analyzed using FlowJo v10 software.

In vitro neutrophil stimulation

Request a detailed protocol

Neutrophils were obtained from the bone marrow of C57BL/6 wild-type mice using the EasySep Mouse Neutrophil Enrichment Kit (STEMCELL), following the manufacturer’s instructions. After enrichment, 1 × 106 neutrophils were seeded per well in a round-bottom 96-well plate with Roswell Park Memorial Institute (RPMI) media supplemented with 10% FBS, 1% antibiotic/antimycotic mix, and 1 mM HEPES (Invitrogen). For stimulation, cells were incubated with LPS-B5 (100 ng/ml, Invivogen), fMLP (1 µM, Sigma-Aldrich), PMA (100 nM, Sigma-Aldrich), and the following concentrations of recombinant mouse cytokines in combination: TNFɑ (100 ng/ml), IFNγ (500 U/ml), and GM-CSF (10 ng/ml), all from BioLegend. For indicated experiments, polystyrene beads (Thermo Fisher) were added to neutrophils at a 1:1 (vol:vol) ratio (MOI = 0.5). Cells were incubated with stimuli for 4 hr at 37°C and 5% CO2. After incubation, cells were recovered by centrifugation, washed with PBS, and processed for flow cytometry as described above.

Chemotaxis assay

Request a detailed protocol

Enriched neutrophils from the bone marrow of wild-type mice were stimulated with a cocktail of mouse recombinant cytokines (TNFɑ, IFNγ, GM-CSF), as described above, to induce receptor expression. After stimulation, cells were washed twice with PBS, resuspended in RPMI media supplemented with 0.1% BSA (wt/vol) to a final concentration of 1 × 107 cells/ml, and 100 μl of the cell suspension were placed in the upper compartment of a Transwell chamber (3.0 μm pore size; Corning Costar). 50 nM of recombinant mouse CCL28, CCL11 (R&D Systems), or CXCL1 (Peprotech) were placed into the lower compartment of a Transwell chamber. The Transwell plate was then incubated for 2 hr at 37°C. The number of cells that migrated to the lower compartment was determined by flow cytometry. The neutrophil chemotaxis index was calculated by dividing the number of cells that migrated in the presence of a chemokine by the number of cells that migrated in control chambers without chemokine stimulation.

Neutrophil in vitro infection and bacterial killing assays

Request a detailed protocol

Bone marrow neutrophils were obtained from mice as described above. S. Typhimurium and A. baumannii were grown as described in the respective mouse experiment sections. For in vitro STm and Ab infections, bacteria were then opsonized with 20% normal mouse serum for 30 min at 37°C. After neutrophils were enriched, 1 × 106 neutrophils were seeded in a round-bottom 96-well plate with RPMI media supplemented with FBS (10%), and bacteria (STm or Ab) were added at a multiplicity of infection (MOI) = 10. The plate was centrifuged to ensure interaction between cells and bacteria, and incubated at 37°C and 5% CO2. After 30 min of contact with the bacteria, the media was pipetted up and down to resuspend the cells. For analysis of CCR3 and CCR10 expression, cells were recovered at various time points (5 min, 30 min, 1 hr, 2 hr, 4 hr) by centrifugation, washed with PBS, and processed for flow cytometry as described above. For inhibition of phagocytosis, bone marrow neutrophils were pre-incubated with cytochalasin D (10 µM) in dimethyl sulfoxide (DMSO, 0.1%), or DMSO (vehicle), for 30 min prior to infection with opsonized S. Typhimurium for 1 hr at an MOI = 10. For killing assays, recombinant mouse CCL28 (50 nM) (Wang et al., 2000) and CCL11 (25 nM) (Shamri et al., 2012) (R&D Systems) were added to neutrophils prior to infection. When indicated, the CCR3 receptor antagonist SB328437 (Tocris Bioscience) was added at a final concentration of 10 μM (White et al., 2000). For assessment of bacterial killing, neutrophils infected with STm were incubated for 2.5 hr and neutrophils infected with A. baumannii were incubated for 4.5 hr at 37°C and 5% CO2. After incubation, wells were diluted in an equal volume of PBS supplemented with 2% Triton X-100 (1% final concentration) and incubated 5 min to lyse the neutrophils, then serial dilution was performed and plated on LB agar to enumerate bacteria. To calculate the percentage of bacterial survival, the number of bacteria recovered in the presence of neutrophils was divided by the number of bacteria recovered from wells that contained no neutrophils, then multiplied by 100.

ROS production

Request a detailed protocol

Neutrophils were obtained from the bone marrow of C57BL/6 wild-type mice using the EasySep Mouse Neutrophil Enrichment Kit (STEMCELL Technologies), following the manufacturer’s instructions. After enrichment, 2.5 × 106 cells/ml were resuspended in phenol red-free RPMI media (Gibco) supplemented with 10% FBS (Gibco), and 1 mM HEPES (Invitrogen). The cells were incubated in presence of 2′,7′-dichlorodihydrofluorescein diacetate (H2DCFDA, 25 µM) (Invitrogen), protected from light, for 30 min at 37°C and 5% of CO2, as previously described (Cao et al., 2021). After incubation with H2DCFDA, neutrophils were infected with STm as described above, then incubated for 4 hr with mouse recombinant CCL28 (50 nM), anti-mouse CCR3 antibody (5 µg/1 × 106 cells, clone 83103), anti-mouse CCR10 antibody (5 µg/1 × 106 cells, clone 248918), or anti-rat IgG2A (5 µg/1 × 106 cells, clone 54447), all from R&D Systems. Neutrophils were analyzed by flow cytometry for DCF fluorescence (Ex: 492–495 nm, Em: 517–527 nm) to determine intracellular ROS production using a BD FACSCanto II flow cytometer, and data were analyzed using the FlowJo v10 software.

NETs production

Request a detailed protocol

Whole-blood samples were collected from healthy donors recruited at a tertiary care center in Mexico City (Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán). Healthy donors signed an informed consent form before inclusion in the study, and the protocol was approved by the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán ethics and research committees (Ref. 3341) in compliance with the Helsinki declaration. Neutrophils were obtained from peripheral blood of healthy voluntary donors using the EasySep Direct Human Neutrophil Isolation Kit (STEMCELL Technologies), following the manufacturer’s instructions. In parallel, platelets from human peripheral blood were isolated as described (Du et al., 2018). Briefly, whole blood was centrifuged at 200 × g for 10 min at 4°C, and plasma was recovered and then centrifuged again at 1550 × g for 10 min at 4°C. The cell pellet was resuspended in RPMI media supplemented with 10% FBS (4 × 107 cells/ml) and then incubated with LPS (5 mg/ml) for 30 min at 37°C to induce platelet activation (Carestia et al., 2016). For fluorescence microscopy analysis, neutrophils were incubated with autologous activated platelets (1:10 ratio) (Liu et al., 2016) for 3.5 hr in a 24-well plate with a poly-L-lysine-treated coverslip and stimulated with human recombinant CCL28 (50 nM) (BioLegend), the CCR3 antagonist SB328437 (10 mM, Tocris Bioscience), and/or the CCR10 antagonist BI-6901 (20 mM, Boehringer-Ingelheim). Cells were then incubated with the DNA-binding dye Helix-NP Green (10 nM, BioLegend) for 30 min, and then fixed with paraformaldehyde (2%). Coverslips were mounted in slides using a mounting medium with DAPI (Fisher Scientific), and images were taken with a fluorescence microscope (Zeiss). At least 3 fields per sample were analyzed to determine the percentage of cells forming NETs. For flow cytometry analysis, neutrophils were stimulated for 2.5 hr as described above, and then incubated with the dye Helix-NP and human anti-MPO-Biotin antibody (clone MPO421-8B2, Novus Biologicals), and APC/Cy7 streptavidin (BioLegend). Samples were analyzed using an LSR Fortessa flow cytometer (BD Biosciences) to determine the presence of DNA–MPO complexes (Masuda et al., 2017), and data were analyzed using FlowJo v10 software.

Growth of bacteria in media supplemented with recombinant chemokines

Request a detailed protocol

S. Typhimurium wild-type, S. Typhimurium phoQ mutant, and Escherichia coli K12 were grown in LB broth overnight at 37°C. A. baumannii was cultured in Cation-Adjusted Mueller-Hinton Broth (CA-MHB) under the same conditions. The following day, cultures were diluted 1:100 in LB and grown at 37°C for 3 hr, subsequently diluted to ~0.5 × 106 or ~0.5 × 109 CFU/ml in 1 mM potassium phosphate buffer (pH 7.2), then incubated at 37°C in the presence or absence of recombinant murine CCL28 (BioLegend) at the indicated concentrations. After 2 hr, samples were plated onto LB agar to enumerate viable bacteria. In other assays, S. Typhimurium was grown as described above and ~1 × 107 CFU/ml were incubated at 37°C for 2.5 hr in the presence or absence of recombinant murine CCL28 (50 nM) (Wang et al., 2000) or CCL11 (25 nM) (Shamri et al., 2012) in RPMI medium supplemented with 10% FBS. After incubation, samples were plated onto LB + Nal agar to enumerate viable bacteria.

RNA extraction and qPCR

Request a detailed protocol

Total RNA was extracted from mouse cecal or lung tissue using Tri-Reagent (Molecular Research Center). Reverse transcription of 1 μg of total RNA was performed using the SuperScript VILO cDNA Synthesis kit (Thermo Fisher Scientific). Quantitative real-time PCR for the expression of Actb (β-actin), Cxcl1, Tnfa, Ifng, Csf3, Il1b, and Il17a was performed using the PowerUp SYBR Green Master Mix (Applied Biosystems) on a QuantStudio 5 Real-Time PCR System (Thermo Fisher Scientific). Gene expression was normalized to Actb (β-actin). Fold changes in gene expression were relative to average expression in uninfected controls and calculated using the ΔΔCt method.

Histopathology

Request a detailed protocol

Cecal and lung tissue samples collected at necropsy were fixed in 10% buffered formalin for 24–48 hr, then transferred to 70% ethanol for storage. Tissues were embedded in paraffin according to standard procedures and sectioned at 5 μm. Pathology scores of cecal and lung samples were determined by blinded examinations of hematoxylin and eosin-stained sections. Each cecal section was evaluated using a semiquantitative score as described previously (Moschen et al., 2016). Lung inflammation was assessed by a multiparametric scoring based on previous work (Lammers et al., 2012).

Immunofluorescence

Request a detailed protocol

Deparaffinized lung sections were stained with a purified rat anti-mouse Ly6G antibody (clone 1A8, BioLegend) according to standard immunohistochemical procedures. Ly6G+ cells were visualized by a goat anti-rat secondary antibody (Invitrogen). Cell nuclei were stained with DAPI in SlowFade Gold Antifade Mountant (Invitrogen). Slides were scanned on a Zeiss Axio Scan.Z1 slide scanner and whole lung scans were evaluated with QuPath analysis software (Bankhead et al., 2017). Ly6G+ cells per mouse were quantified by averaging the neutrophil numbers of three consecutive high-power fields in regions with moderate to severe inflammation.

Statistical analysis

Request a detailed protocol

Statistical analysis was performed with GraphPad Prism 10. CFU data from in vivo infection experiments, percentage of CCR3+ or CCR10+ neutrophils in vivo and in vitro, and data from neutrophil functional assays were transformed to Log10 and passed a normal distribution test before running statistical analyses. Data on cytokine secretion, qPCR data, and relative cell abundances within tissues were compared by Mann–Whitney U test. Survival curves were compared by the Log-rank (Mantel–Cox) test. Data that were normally distributed were analyzed by one-way analysis of variance (ANOVA) for independent samples or paired samples, depending on the experimental setup. Dunnett’s multiple comparisons test was applied when we compared the different conditions to a single control group, while Tukey’s multiple comparison test was performed when we compared each condition with each other. Greenhouse–Geisser correction was applied when there were differences in the variance among the groups. Data from chemokine migration were analyzed by a non-parametric ANOVA (Kruskal–Wallis’s test), assuming non-equal standard deviation given the differences in the variance among the groups and followed by Dunn’s multiple comparisons test. Paired t test was used when only two paired experimental groups were compared. A p value equal to or below 0.05 was considered statistically significant. * indicates an adjusted p-value ≤0.05, p-value ≤0.01, p-value ≤0.001, p-value ≤0.0001.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files. Raw data are available at Dryad.

The following data sets were generated
    1. Raffatellu M
    (2024) Dryad Digital Repository
    Data from: CCL28 modulates neutrophil responses during infection with mucosal pathogens.
    https://doi.org/10.5061/dryad.59zw3r2j6

References

    1. Bhatti FN
    2. Burney IA
    3. Moid MI
    4. Siddiqui T
    (1998)
    Bacterial isolates from neutropenic febrile pediatric patients and their sensitivity patterns to antibiotics
    JPMA. The Journal of the Pakistan Medical Association 48:287–290.

Article and author information

Author details

  1. Gregory T Walker

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Conceptualization, Data curation, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing
    Contributed equally with
    Araceli Perez-Lopez
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3888-8143
  2. Araceli Perez-Lopez

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, United States
    3. Biomedicine Research Unit, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
    Contribution
    Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing, Conceived the overall study
    Contributed equally with
    Gregory T Walker
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5399-1958
  3. Steven Silva

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Formal analysis, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared
  4. Michael H Lee

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Formal analysis, Supervision, Investigation, Visualization, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
  5. Elisabet Bjånes

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  6. Nicholas Dillon

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. Department of Biological Sciences, University of Texas at Dallas, Richardson, United States
    Contribution
    Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
  7. Stephanie L Brandt

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
  8. Romana R Gerner

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. School of Life Sciences, ZIEL - Institute for Food and Health, Freising-Weihenstephan, Technical University of Munich, Munich, Germany
    Contribution
    Formal analysis, Investigation, Visualization, Methodology, Writing – review and editing, Analyzed the histopathology
    Competing interests
    No competing interests declared
  9. Karine Melchior

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, São Paulo, Brazil
    Contribution
    Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared
  10. Grant J Norton

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  11. Felix A Argueta

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  12. Frenchesca Dela Pena

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  13. Lauren Park

    Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  14. Victor A Sosa-Hernandez

    1. Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México and Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
    2. Departamento de Biomedicina Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  15. Rodrigo Cervantes-Diaz

    1. Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México and Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
    2. Departamento de Biomedicina Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  16. Sandra Romero-Ramirez

    1. Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México and Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
    2. Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared
  17. Monica Cartelle Gestal

    Department of Microbiology and Immunology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, United States
    Contribution
    Supervision, Methodology
    Competing interests
    No competing interests declared
  18. Jose L Maravillas-Montero

    Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México and Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
    Contribution
    Supervision, Funding acquisition, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
  19. Sean-Paul Nuccio

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, United States
    Contribution
    Resources, Data curation, Supervision, Writing – original draft, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9683-9278
  20. Victor Nizet

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, United States
    3. Center for Microbiome Innovation, University of California San Diego, La Jolla, United States
    Contribution
    Conceptualization, Supervision, Funding acquisition, Writing – original draft, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3847-0422
  21. Manuela Raffatellu

    1. Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California, San Diego, La Jolla, United States
    2. Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, United States
    3. Center for Microbiome Innovation, University of California San Diego, La Jolla, United States
    4. Chiba University-UC San Diego Center for Mucosal Immunology, Allergy, and Vaccines (CU-UCSDcMAV), La Jolla, United States
    Contribution
    Conceptualization, Data curation, Supervision, Funding acquisition, Writing – original draft, Project administration, Writing – review and editing, Conceived the overall study
    For correspondence
    manuelar@ucsd.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6487-4215

Funding

National Institute of Allergy and Infectious Diseases (AI121928)

  • Manuela Raffatellu

National Institute of Allergy and Infectious Diseases (Mucosal Immunology Studies Team)

  • Araceli Perez-Lopez

Crohn's and Colitis Foundation (649744)

  • Romana R Gerner

National Institute of Diabetes and Digestive and Kidney Diseases (DK007202)

  • Michael H Lee

National Institute of Allergy and Infectious Diseases (AI169989)

  • Michael H Lee

Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD087978)

  • Nicholas Dillon

National Institute of Allergy and Infectious Diseases (AI124316)

  • Nicholas Dillon
  • Victor Nizet

National Institute of Allergy and Infectious Diseases (AI007036)

  • Gregory T Walker

National Institute of Allergy and Infectious Diseases (AI145325)

  • Victor Nizet

Japan Agency for Medical Research and Development (JP233fa627003)

  • Manuela Raffatellu

Burroughs Wellcome Fund

  • Manuela Raffatellu

National Institute of Diabetes and Digestive and Kidney Diseases (DK120515)

  • Manuela Raffatellu

National Autonomous University of Mexico (InnovaUNAM grant)

  • Araceli Perez-Lopez
  • Manuela Raffatellu

University of California (Alianza UCMX)

  • Araceli Perez-Lopez
  • Manuela Raffatellu

Max Kade Foundation (Fellowship)

  • Romana R Gerner

São Paulo Research Foundation (2019/14833- 0)

  • Karine Melchior

São Paulo Research Foundation (2018/22042- 0)

  • Karine Melchior

Consejo Nacional de Ciencia y Tecnología (Grad School Fellowship)

  • Rodrigo Cervantes-Diaz
  • Sandra Romero-Ramirez
  • Victor A Sosa-Hernandez

Public Health Service Grant (AI145325)

  • Manuela Raffatellu
  • Victor Nizet

Consejo Nacional de Ciencia y Tecnología (CONACyT- FOSISS A3-S-36875)

  • Jose L Maravillas-Montero

Universidad Nacional Autónoma de México (UNAM- DGAPA- PAPIIT Program grant IN213020)

  • Jose L Maravillas-Montero

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

Acknowledgements

This work was supported by the NIH (Public Health Service Grants AI121928) to MR, by a pilot project award from the NIAID Mucosal Immunology Studies Team (MIST) to APL, and by a grant from the InnovaUNAM of the National Autonomous University of Mexico (UNAM) and Alianza UCMX of the University of California, to APL and MR. RRG was partly supported by a fellowship from the Max Kade Foundation and by a fellowship from the Crohn’s and Colitis Foundation. MHL was partly supported by NIH training grant T32 DK007202 and by NIH F32 AI169989. ND was supported by NIH training grant NIH 5T32HD087978-05 and NIH NIAID grant 1-U01-AI124316. GTW was supported by NIH training grant T32AI007036. KM was partly supported by São Paulo Research Foundation (FAPESP) Grants 2019/14833-0 and 2018/22042-0. RCD, SR-R, and VAS-H were supported by a Grad School Fellowship from CONACyT. MR and VN were supported by Public Health Service Grant AI145325. Work in JLM-M lab was supported by CONACyT-FOSISS grant A3-S-36875 and UNAM-DGAPA-PAPIIT Program grant IN213020. Work in MR lab was also supported by NIH Grants AI126277, AI154644, AI096528, by AMED grant JP233fa627003, and by the Chiba University-UCSD Center for Mucosal Immunology, Allergy, and Vaccines, and by an Investigator in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund. We would like to thank Dr. Albert Zlotnik for his thoughtful suggestions on the project over the years. We also acknowledge Boehringer-Ingelheim Pharma GmbH & Co. KG for the kind gift of the CCR10 antagonist BI-6901, the Histology Core at the La Jolla Institute for Immunology, and the support from the San Diego Digestive Diseases Research Center (P30 DK120515).

Ethics

Whole-blood samples were collected from healthy donors recruited at a tertiary care center in Mexico City (Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán). Healthy donors signed an informed consent form before inclusion in the study, and the protocol was approved by the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán ethics and research committees (Ref. 3341) in compliance with the Helsinki declaration.

All mouse experiments were reviewed and approved by the Institutional Animal Care and Use Committees at UC Irvine (protocol #2009-2885) and UC San Diego (protocols #S17107 and #S00227M).

Copyright

© 2024, Walker, Perez-Lopez et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 920
    views
  • 139
    downloads
  • 1
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Gregory T Walker
  2. Araceli Perez-Lopez
  3. Steven Silva
  4. Michael H Lee
  5. Elisabet Bjånes
  6. Nicholas Dillon
  7. Stephanie L Brandt
  8. Romana R Gerner
  9. Karine Melchior
  10. Grant J Norton
  11. Felix A Argueta
  12. Frenchesca Dela Pena
  13. Lauren Park
  14. Victor A Sosa-Hernandez
  15. Rodrigo Cervantes-Diaz
  16. Sandra Romero-Ramirez
  17. Monica Cartelle Gestal
  18. Jose L Maravillas-Montero
  19. Sean-Paul Nuccio
  20. Victor Nizet
  21. Manuela Raffatellu
(2024)
CCL28 modulates neutrophil responses during infection with mucosal pathogens
eLife 13:e78206.
https://doi.org/10.7554/eLife.78206

Share this article

https://doi.org/10.7554/eLife.78206

Further reading

    1. Cancer Biology
    2. Immunology and Inflammation
    Simei Go, Constantinos Demetriou ... Eric O Neill
    Research Article

    The immunosuppressive microenvironment in pancreatic ductal adenocarcinoma (PDAC) prevents tumor control and strategies to restore anti-cancer immunity (i.e. by increasing CD8 T-cell activity) have had limited success. Here, we demonstrate how inducing localized physical damage using ionizing radiation (IR) unmasks the benefit of immunotherapy by increasing tissue-resident natural killer (trNK) cells that support CD8 T activity. Our data confirms that targeting mouse orthotopic PDAC tumors with IR together with CCR5 inhibition and PD1 blockade reduces E-cadherin positive tumor cells by recruiting a hypoactive NKG2D-ve NK population, phenotypically reminiscent of trNK cells, that supports CD8 T-cell involvement. We show an equivalent population in human single-cell RNA sequencing (scRNA-seq) PDAC cohorts that represents immunomodulatory trNK cells that could similarly support CD8 T-cell levels in a cDC1-dependent manner. Importantly, a trNK signature associates with survival in PDAC and other solid malignancies revealing a potential beneficial role for trNK in improving adaptive anti-tumor responses and supporting CCR5 inhibitor (CCR5i)/αPD1 and IR-induced damage as a novel therapeutic approach.

    1. Immunology and Inflammation
    Jasmine Rowell, Ching-In Lau ... Tessa Crompton
    Research Article

    Here, we sequenced rearranged TCRβ and TCRα chain sequences in CD4+CD8+ double positive (DP), CD4+CD8- single positive (SP4) and CD4-CD8+ (SP8) thymocyte populations from the foetus and young adult mouse. We found that life-stage had a greater impact on TCRβ and TCRα gene segment usage than cell-type. Foetal repertoires showed bias towards 3’TRAV and 5’TRAJ rearrangements in all populations, whereas adult repertoires used more 5’TRAV gene segments, suggesting that progressive TCRα rearrangements occur less frequently in foetal DP cells. When we synchronised young adult DP thymocyte differentiation by hydrocortisone treatment the new recovering DP thymocyte population showed more foetal-like 3’TRAV and 5’TRAJ gene segment usage. In foetus we identified less influence of MHC-restriction on α-chain and β-chain combinatorial VxJ usage and CDR1xCDR2 (V region) usage in SP compared to adult, indicating weaker impact of MHC-restriction on the foetal TCR repertoire. The foetal TCRβ repertoire was less diverse, less evenly distributed, with fewer non-template insertions, and all foetal populations contained more clonotypic expansions than adult. The differences between the foetal and adult thymus TCR repertoires are consistent with the foetal thymus producing αβT-cells with properties and functions that are distinct from adult T-cells: their repertoire is less governed by MHC-restriction, with preference for particular gene segment usage, less diverse with more clonotypic expansions, and more closely encoded by genomic sequence.