CD11b immunophenotyping identifies inflammatory profiles in...

来自 : 发布时间：2025-04-03

AbstractThe development of easily accessible tools for human immunophenotyping to classify patients into discrete disease endotypes is advancing personalized therapy. However, no systematic approach has been developed for the study of inflammatory lung diseases with often complex and highly heterogeneous disease etiologies. We have devised an internally standardized flow cytometry approach that can identify parallel inflammatory alveolar macrophage phenotypes in both the mouse and human lungs. In mice, lung innate immune cell alterations during endotoxin challenge, influenza virus infection, and in two genetic models of chronic obstructive lung disease could be segregated based on the presence or absence of CD11b alveolar macrophage upregulation and lung eosinophilia. Additionally, heightened alveolar macrophage CD11b expression was a novel feature of acute lung exacerbations in the SHIP-1鈭?鈭?/sup> model of chronic obstructive lung disease, and anti-CD11b antibody administration selectively blocked inflammatory CD11bpos but not homeostatic CD11bneg alveolar macrophages in vivo. The identification of analogous profiles in respiratory disease patients highlights this approach as a translational avenue for lung disease endotyping and suggests that heterogeneous innate immune cell phenotypes are an underappreciated component of the human lung disease microenvironment. IntroductionImmunophenotyping, as the process of identifying discrete patient immune cell phenotypes, has gained prominent traction in areas such as HIV and leukemia research where perturbations in immune cell homeostasis directly reflect disease pathogenesis and correlate with patient prognosis.1, 2, 3 Using flow cytometry, immune cell surface markers with bimodal distributions (which are either negative or positive in expression) allow unambiguous discrimination of immune cell profiles that correlate with clinical outcome, such as the presence CD8+INF-纬+ double-positive cells in HIV patients and CD38+ peripheral blood cells in B-cell chronic lymphocytic leukemia patients.1, 2A potentially valuable yet underutilized area for lung disease immunophenotyping lies in the study of human alveolar macrophages (AM桅s), which are the predominant immune cells within the alveolar airspaces. However, apart from the utilization of CD14 and CD16 to discern between classical CD14+CD16鈭?/sup> and patrolling CD14lowCD16+ monocytes (represented by CX3CR1lowGr-1+ and CX3CR1highGr-1鈭?/sup> counterparts in mice),4 few macrophage (M桅) surface markers exist in a convenient bimodal distribution pattern for disease-based characterization. Few are also identically expressed between mice and men.5 This suggests two possibilities: that more translatable M桅 markers remain to be identified or there is an abundance of surface markers with continuous distributions that have rendered themselves inappropriate for traditional immunophenotyping. Considering the depth of study in the field of M桅 heterogeneity, the latter appears as the most likely option.Over the past few years, personalized therapy of human lung diseases has been greatly advanced by the concept of disease endotypes, which links clinically observed phenotypes to underlying molecular mechanisms.6 Endotyping asthma has successfully identified discrete patient subgroups who share a similar disease progression or treatment response,7 reorganizing patient management through the implementation of more personalized treatment strategies. This asks whether a similar approach can be applied to chronic obstructive pulmonary disease (COPD), which is mechanistically heterogeneous and involves high patient symptom burdens, which manifest independently of severe lung function decline.8, 9 In particular, recent reports of a hyper-inflammatory COPD patient subgroup with increased disease mortality and acute lung exacerbations risk suggest that inflammatory and non-inflammatory disease endotypes may exist in COPD.9, 10 This concept is emphasized by the existence of both immune and non-immune driven mechanisms of emphysema induction in mice.11, 12, 13 Interestingly, in mice, deletion of Src homology 2 domain-containing 5鈥?inositol phosphatase-1 (Inpp5d or SHIP-1; a negative regulator of growth factor receptor鈥搈ediated myeloid cell activation and survival) or constitutive activation of Hematopoietic cell kinase (Hck; a Src-family kinase abundant in myelomonocytic cells) both lead to the spontaneous development of chronic inflammatory lung disease sharing features of human COPD. SHIP-1鈭?鈭?/sup> mice develop AM桅-driven chronic lung inflammation, severe emphysema,14, 15, 16, 17, 18 and COPD co-morbidities, such as wasting, osteoporosis and an increased susceptibility to bacterial infections.19, 20, 21 HckF/F gain-of-function mice, generated by a tyrosine to phenylalanine substitution (Y499F) in the regulatory domain which prevents Hck inactivation, develop airway mucus metaplasia and mild emphysema characterized by chronic eosinophilic and monocytic lung inflammation and are hypersensitive to lipopolysaccharide (LPS).22 Further study of SHIP-1鈭?鈭?/sup> and HckF/F mouse models may thus help refine the search for hyper-inflammatory COPD endotypes.To facilitate the discovery of parallel lung immunophenotypes between mice and humans, we devised a new and internally standardized approach using flow cytometry that focuses on AM桅s and other innate immune cell subpopulations as defects in these cell types are linked to asthma, COPD, and recurrent bacterial and viral chest infections. This easily adoptable approach compares CD11b expression levels on AM桅s with anchor CD11b expression levels in blood neutrophils and additionally identifies CD11b AM桅 upregulation as a hallmark of acute lung exacerbations in SHIP-1鈭?鈭?/sup> mice. Overall, our study incorporates AM桅 phenotyping with other preexisting parameters for clinical endotyping (the presence of eosinophilia or neutrophilia) to demonstrate that innate lung immunophenotypes exist heterogeneously in both mouse models of chronic inflammatory lung disease and human patients.ResultsIdentification of distinct inflammatory immune cell profiles in mouse lungsWe and others have previously identified residential AM桅 CD11b upregulation as a marker of acute and chronic lung inflammation in mice.15, 23 Residential AM桅s are CD11bneg in healthy adult mouse lungs at homeostasis. Under selective inflammatory conditions, CD11b expression is upregulated and differential CD11bpos AM桅 proportions can distinguish between the peak and resolution of acute lung inflammation, respectively.15 This scenario (either an absence or presence of inflammation-associated CD11bpos AM桅s) is ideal for immunophenotyping as binary CD11b expression negates interpretation ambiguities and excessive standardization procedures. In translating this to human patient samples, however, we discovered that CD11b was basally expressed on all human AM桅s but varied noticeably between individual patients (Figure 1a). As M桅 markers rarely directly translate between man and mouse, we screened for other putative M桅 activation markers such as CD14, CD86, major histocompatibility complex (MHC) Class II, CD124, CD206, Toll-like receptor (TLR)-2, and TLR-4 but observed consistently high or low surface expression levels (data not shown).Figure 1Identification of distinct inflammatory profiles in mouse bronchoalveolar lavage (BAL). (a) CD11b vs. CD11c expression profiles of human alveolar macrophages (AM桅s) compared with healthy adult C57BL/6 mice. Human BAL samples collected and analyzed on separate days, with laser voltages standardized by the use of single peak allophycocyanin (APC) and APC-Cy7 fluorescent beads (blue: stained AM桅s, gray: non-binding antibody (Ab) control). (b) Flow cytometry used to characterize blood neutrophil CD11b expression levels in phosphate-buffered saline vehicle, Day 3 lipopolysaccharide (LPS)-treated, and Day 10 Mem71 influenza virus-infected C57BL/6 mice (n=3, dotted gray: non-binding Ab controls, left panel). Overlay of BAL cell (blue) and blood neutrophil (red) staining with anti-CD11b and anti-CD11c Abs shows distinct inflammatory BAL profiles in individual mice (n=3鈥?, right panel). AM桅 CD11b upregulation indicated as a rightwards shift of AM桅 CD11b expression with respect to blood neutrophils. (c) Flow cytometry confirms similar CD11b expression on blood neutrophils from SHIP-1鈭?鈭?/sup>, HckF/F, and C57BL/6 mice (n=3, dotted gray: non-binding Ab controls, left panel). Overlay of CD11b vs. CD11c staining of BAL cells (blue) and blood neutrophils (red) in C57BL/6, SHIP-1鈭?鈭?/sup>, and HckF/F mice. (n=6, right panels). (d, e) Hematoxylin and eosin鈥搒tained sections of post-BAL inflation fixed lungs from flow cytometry鈥損rofiled mice (n=4, bar=100鈥壩糾). MFI, mean fluorescence intensity; PMN, polymorphonuclear neutrophil. PowerPoint slide Full size imageThis led us to postulate that human AM桅 surface markers (including CD11b) are generally continuous rather than bimodal in distribution, especially as human AM桅s are under constant exposure to a diverse repertoire of inhaled insults and environmental antigens. Unfortunately, flow cytometry measurement of markers with a continuous distribution loses quantitative meaning outside single experiments as expression is presented as a mean fluorescence intensity (MFI), a value which changes with cell autofluorescence, antibody (Ab) signal strength, and laser voltage settings. As MFI values are relative, large-scale clinical usage becomes limited even with single peak autofluorescent bead set-ups, as bead values still fluctuate within a small range between experiments and may diminish over time, hampering diagnostic accuracy. Thus, with continuous AM桅 CD11b expression as our marker of interest, we explored whether alternative analytical methods could still detect distinct lung immune cell profiles in both mice and humans using flow cytometry. To do this, we re-examined established mouse models of acute and chronic lung inflammation for potential internal anchors of AM桅 CD11b expression (gating strategy in Supplementary Figure S1 online).We observed that blood neutrophil CD11b expression was surprisingly constant between phosphate-buffered saline (PBS) vehicle and LPS-challenged or Mem71 influenza virus鈥搃nfected mice independent of lung pathology (Figure 1b and Supplementary Table S1 online). Similarly, we found that blood neutrophil CD11b expression remained constant in mice that spontaneously developed inflammatory lung disease (SHIP-1鈭?鈭?/sup> and HckF/F mice; Figure 1c and Supplementary Table S1 online). In acute lung challenge studies, day 3 post-LPS challenge and day 10 post-influenza virus infection were chosen as they represent the peak of acute lung inflammation and initiation of disease resolution after virus is cleared, respectively, in these two different inflammatory conditions. In contrast to Mem71 infection, resolution at day 10 post-LPS challenge is characterized by a restoration to the homeostatic CD11bneg AM桅 phenotype.15 In mice, blood neutrophils were CD11bpos with a staining intensity between the expression range of CD11bneg and CD11bhighCD11chigh AM桅s, providing an internal reference point to which AM桅 CD11b expression could be compared (Figure 1b,c). This approach negates influences from Ab signal strength and laser voltage settings on MFI level, as the ratio of AM桅 to blood neutrophil CD11b expression remains internally constant (see Supplementary Figure S2a and Supplementary Table S1 online). Differences in AM桅 CD11b expression and the appearance of CD11bhighCD11cpos or CD11bposCD11cneg cell subsets were observed in bronchoalveolar lavage (BAL) from C57BL/6 mice following LPS challenge and Mem71 influenza virus clearance and in SHIP-1鈭?鈭?/sup> and HckF/F mice (see Supplementary Figure S2b,c and Supplementary Table S1 online).16, 17, 22 Increased AM桅 to blood neutrophil CD11b expression profiles were also observed for increasing LPS doses at day 3 post-challenge in C57BL/6 mice (see Supplementary Figure S2d online). Critically, distinct BAL cell profiles could be identified in animal models with different lung tissue histopathology (Figure 1d,e).Further characterization of mouse immune cell subpopulationsFurther characterization of CD11bhighCD11cpos immune cells (subset M) in mouse BAL profiles (Figure 2a) showed that these were lung monocytes with increased MHC Class II, CD14, and CD86 surface expression compared with AM桅s (Figure 2b). MHC Class II is heterogeneously expressed on lung monocytes but not residential AM桅s in different inflammatory lung conditions, emphasizing the selectivity of CD11b as a heterogeneously expressed marker of residential AM桅s (see Supplementary Figure S2e online). A second subset of CD11cnegCD11bpos immune cells (subset E; Figure 2a) was also present in Mem71-infected and HckF/F mouse BAL, which stained negatively for myeloid markers Class II, CD14, or CD86 (Figure 2b). Cell differentials using BAL cytospins, cell sorting, and Siglec F staining confirmed these cells as Siglec Fpos lung eosinophils as previously reported (see Supplementary Figure 3S online and Figure 2c; granular cells with eosinophilic cytoplasm as denoted by white arrows).24Figure 2Further characterization of immune cell subgroups in heterogeneous mouse bronchoalveolar lavage (BAL) profiles. (a) CD11b vs. CD11c staining of BAL cells segregates CD11chighCD11blow-high residential alveolar macrophages (AM桅s; subset R or Ri and Rii in SHIP-1鈭?鈭?/sup> mice), CD11cposCD11bhigh lung monocytes (subset M), and CD11cnegCD11bpos lung eosinophils (subset E; sorted and characterized in Supplementary Figure S3 online). Representative of n=3鈥? (b) Class II, CD14, and CD86 expression of gated immune cell subsets (dotted gray: non-binding antibody control). Representative of n=3鈥?. (c) BAL cytospins stained using Hemacolor (Merck Millipore). Eosinophils appear as polymorphonuclear leukocytes with pink-red cytoplasmic staining (white arrows; representative of n=4, bar=20 渭m). PowerPoint slide Full size imageIdentification of new immune cell parameters associated with acute lung exacerbationsAcute exacerbations of COPD classically involve increased neutrophil recruitment and pro-inflammatory cytokine production,25, 26 although eosinophils have also been increasingly linked to exacerbation predisposition.27 However, it remains unknown how conserved or heterogeneous this inflammatory milieu is between affected patients. SHIP-1鈭?鈭?/sup> and HckF/F mice have spontaneous inflammatory and emphysematous phenotypes that resemble patterns observed in human COPD.16, 17, 22 To test whether specific BAL profiles could also be discerned during COPD-like acute lung exacerbations, SHIP-1鈭?鈭?/sup> and HckF/F mice were challenged with a single intranasal dose of LPS. LPS-challenged SHIP-1鈭?鈭?/sup> and HckF/F mice both developed exacerbated lung pathology resembling acute lung pneumonia by day 3 post-LPS challenge (Figure 3). In SHIP-1鈭?鈭?/sup> mice, acute exacerbations were characterized by CD11bhighCD11cpos monocyte recruitment and further AM桅 CD11b upregulation (Figure 3a鈥揷,m). Exacerbation severity as evidenced by increased lung hemorrhaging, posture changes, piloerection, and increased respiratory effort was variable (data not shown) and correlated with the degree of AM桅 CD11b upregulation visualized as a rightwards signal shift of AM桅 CD11b expression compared with blood neutrophils (Figure 3c). Neutrophil, monocyte, and T lymphocyte numbers were also increased in LPS-challenged SHIP-1鈭?鈭?/sup> mice (Figure 3d鈥揻). AM桅 CD11b upregulation and lung monocyte recruitment were also characteristic of LPS-challenged HckF/F mice (Figure 3i,n). Upregulated AM桅 CD11b expression was modest compared with challenged SHIP-1鈭?鈭?/sup> mice and did not reach statistical significance (Figure 3i,n, *P=0.087). Heightened lung neutrophil recruitment was the dominant feature of challenged HckF/F mice, with no alterations in lung eosinophil numbers (Figure 3j). Interestingly, lung tissue and immune cell apoptosis was found in HckF/F but not SHIP-1鈭?鈭?/sup> acute lung exacerbations (see Supplementary Figure S4 online). Altogether, these results demonstrate that increased CD11b AM桅 expression is a mouse marker of active lung inflammation with differential patterns of AM桅 CD11b upregulation and eosinophil, neutrophil, or monocyte recruitment present in acute and chronic inflammatory lung conditions as well as COPD acute exacerbation models.Figure 3Distinct inflammatory signatures appear in mouse chronic obstructive pulmonary disease models of acute lung exacerbations. (a) Inflation fixed lungs from C57BL/6 and SHIP-1鈭?鈭?/sup> mice day 3 post-lipopolysaccharide (post-LPS) or phosphate-buffered saline vehicle challenge (bar=1鈥塩m). (b) Hematoxylin and eosin (H E)-stained sections of inflation fixed lungs (n=4, bar=100鈥壩糾). (c) Overlay of CD11b vs. CD11c staining from bronchoalveolar lavage (BAL) cells and blood neutrophils of day 3 LPS-challenged SHIP-1鈭?鈭?/sup> mice (blue: BAL cells, red: blood neutrophils; n=3鈥?). Mice were scored as moderate or severe responders based on pneumonia severity, postural changes, piloerection and increased respiratory effort. (d鈥?b>f) Flow cytometry used to calculate total alveolar macrophage (AM桅), monocyte, neutrophil (polymorphonuclear neutrophils (PMNs)), and lymphocyte numbers (n=4鈥?, *P 0.05, **P 0.01, two-tailed Student鈥檚 t-test). (g) Inflation fixed lungs from HckF/F mice at day 3 post-LPS challenge (bar=1鈥塩m). (h) H E sections of inflation fixed lungs (n=3, bar=100鈥壩糾). (i) Overlay of CD11b vs. CD11c staining from BAL cells and blood neutrophils of day 3 LPS-challenged HckF/F mice (blue: BAL cells, red: blood neutrophils; n=3鈥?). (j鈥?b>l) Flow cytometry used to calculate total AM桅, monocyte, neutrophil, and lymphocyte numbers (n=3鈥?, *P 0.05, **P 0.01, two-tailed Student鈥檚 t-test: j and k, Welch t-test: l). (m, n) Mean fluorescence intensity (MFI) of AM桅 CD11b expression (total AM桅 CD11b MFI鈭抧on-binding antibody control AM桅 MFI) in Dulbecco鈥檚 modified Eagle鈥檚 medium (DMEM) control and day 3 LPS-challenged SHIP-1鈭?鈭?/sup> and HckF/F mice (n=3鈥?, *P 0.05, Student鈥檚 t-test). PowerPoint slide Full size imageIn vivo targeting of CD11bpos lung macrophagesCD11b is ubiquitously expressed on monocytes and neutrophils, which prevents the exclusive targeting of AM桅s using anti-CD11b mAbs. However, as CD11b is discretely expressed on inflammatory AM桅s in mice, we used anti-CD11b administration to test whether CD11bpos AM桅s could be selectively blocked without perturbations to homeostatic CD11bneg AM桅s. Intranasal anti-CD11b Ab administration 24鈥塰 post-LPS challenge attenuated lung inflammation by significantly decreasing lung neutrophil and monocyte infiltration in C57BL/6 mice 3 days post-LPS challenge (Figure 4a鈥揹). Interestingly, AM桅 numbers remained unchanged following anti-CD11b Ab administration (Figure 4d), suggesting that anti-CD11b blocked surface AM桅 CD11b expression rather than depleting CD11bpos AM桅s. Anti-CD11b Ab administration demonstrated a dose-dependent preferential neutralization of CD11bhigh neutrophils before CD11bhigh lung monocytes and CD11bpos AM桅s (Figure 4e). Anti-CD11b also attenuated lung neutrophilia in a dose-dependent manner (Figure 4f,g). Decreased lung tissue apoptosis was observed in the lungs of anti-CD11b Ab鈥搕reated, but not vehicle-PBS or rat IgG isotype control Ab鈥搕reated C57BL/6 mice at day 3 post-LPS challenge (Figure 4h,i). In contrast, CD11b鈭?鈭?/sup> mice did not show attenuated neutrophil or monocyte recruitment day 3 post-LPS challenge but did show variable AM桅 and monocyte CD11a expression and upregulated monocyte CD11c surface expression (see Supplementary Figure S5 online).Figure 4Anti-CD11b antibody blocks CD11bpos but not CD11blow/neg alveolar macrophages (AM桅s) post-lipopolysaccharide (post-LPS) challenge in C57BL/6 mice. (a) LPS-challenged C57BL/6 mice were administered rat IgG isotype control or anti-CD11b antibody (Ab) 24鈥塰 after LPS challenge. Hematoxylin and eosin鈥搒tained sections of inflation fixed lungs day 3 post-LPS challenge (n=4, scale=100鈥壩糾). (b, c) Flow cytometry used to calculate total AM桅, monocyte, neutrophil, and lymphocyte numbers (n=6, *P 0.05, **P 0.01, ***P 0.005, analysis of variance (ANOVA) test with Tukey鈥檚 post-test). (d) CD11b vs. CD11c expression profile of bronchoalveolar lavage (BAL) cells at day 3 post-LPS challenge with anti-CD11b or isotype control Ab administration. (e) Dose-dependent neutrophil, monocyte, and CD11bpos AM桅 neutralization following anti-CD11b Ab administration (0.1, 0.5, or 1.0鈥壩糶鈥塯鈭? mouse weight). (f, g) Flow cytometry used to calculate total AM桅, monocyte, neutrophil, and lymphocyte numbers (n=3鈥?, *P 0.05, ANOVA test with Tukey鈥檚 post-test). (h) TUNEL (terminal deoxinucleotidyl transferase-mediated dUTP-fluorescein nick end labeling) staining used to measure total lung immune and non-immune cell apoptosis in day 3 post-LPS challenge treatment groups (n=3 with 3 sections of lung consolidations analyzed per mouse, *P 0.05, ANOVA test with Tukey鈥檚 post-test). (i) Representative sections of TUNEL and anti-CD45 Ab鈥搒tained lung tissue. DAPI (4,6-diamidino-2-phenylindole): blue, cleaved nuclei indicating cell apoptosis: green, CD45pos cells: red and cell membrane staining: purple, red arrows: TUNELpos immune cell, black arrows: TUNELpos non-immune cell, bar=30鈥壩糾). PMN, polymorphonuclear neutrophil. PowerPoint slide Full size imageIdentification of analogous human immune cell profilesAs distinct BAL cell immunophenotypes were clearly discerned in mice, we investigated whether parallel immune cell features could be identified in humans. Blood neutrophil CD11b expression was similar between healthy volunteers and respiratory patients seen in the day clinic, although CD11b variation is higher in humans than in mice (Figure 5a). Nevertheless, 92% of all patient blood neutrophils existed within the same gated CD11b expression range used to reference AM桅 CD11b expression (see Supplementary Figure S6a,b online). AM桅 to blood neutrophil CD11b expression clearly distinguished between individual patients with lower or higher AM桅 CD11b expression analyzed on the same day independently of data acquisition variations (Figure 5b). AM桅 CD11b upregulation could also be confirmed by a comparison of AM桅 CD11b and CD14 expression levels and standard AM桅 CD11b MFI calculations (Figure 5c; MFI: 101 and 270 for CD11b expression on PT4912A and PT4912B, respectively).Figure 5A complementary approach for the characterization of human bronchoalveolar lavage (BAL) inflammatory profiles. (a) Histograms of human blood neutrophil CD11b expression; each of the three histograms depict n=2 random patient and 2 healthy volunteer blood samples (black: neutrophil Mac-1 expression, dotted gray: non-binding antibody (Ab) control). (b) Overlay of CD11b vs. CD33 staining of patient BAL cells and blood neutrophils (blue: BAL cells, red: blood neutrophils, boxed regions: alveolar macrophage (AM桅) CD11b expression relative to the gated region of blood neutrophil CD11b expression). Samples collected and analyzed on the same day. (c) AM桅 CD11b and CD14 expression represented as histograms (black: CD11b, gray: CD14, dotted gray: non-binding Ab control). (d) CD11b vs. CD33 staining of patient BAL cells show the presence of a CD11bhighCD33lowCD15high subset, which correlates with the profile of eosinophils (R=residential AM桅s, E=eosinophils, blue: BAL cell staining, gray: non-binding Ab control). (e) Patient AM桅 and eosinophil BAL subsets further characterized by Class II (HLA-DR), CD14, and CD86 expression and represented as histograms (dotted gray: non-binding Ab control). (f) Patient BAL cytospins stained using Hemacolor (Merck Millipore); eosinophils appear as polymorphonuclear leukocytes with pink-red cytoplasmic staining (white arrows; bar=20鈥壩糾). MFI, mean fluorescence intensity; PMN, polymorphonuclear neutrophil. PowerPoint slide Full size imageFor human BAL cell immunophenotyping, CD33 was chosen over CD11c as CD33 is a commonly used pan M桅 marker in humans,28 which separated AM桅s more clearly than CD11c in our studies and thus is a more definitive marker of human AM桅s (see Supplementary Figure S7a online). As human lung monocytes are CD33posCD11bhigh and potentially similar to CD33posCD11bhigh AM桅s, monocytes were excluded from our gating strategy based on their lack of autofluorescence and smaller size (low forward scatter (FSC)) to eliminate signal contamination (see Supplementary Figure S7b online). Despite this, an additional CD33lowCD11bhigh immune cell subset was still prominent in the BAL of a subset of human patients (Figure 5d, subset E). This subset showed negligible Class II, CD14, or CD86 expression (Figure 5e) and was identified as lung eosinophils from cell differentials of BAL cytospins (Figure 5f; granular cells with eosinophilic cytoplasm as denoted by white arrows). This allowed the inclusion of lung eosinophilia as a parameter for immunophenotyping, similar to mice. The degree of lung neutrophilia, another preestablished parameter for COPD and asthma patient immunophenotyping, could simultaneously be measured as the proportion of granular CD15highCD11bhigh cells in BAL(see Supplementary Figure S1 online and Figure 6a鈥揹, pie charts).Figure 6Identification of subgroups of humans with shared inflammatory bronchoalveolar lavage (BAL) profiles. (a鈥?b>d) CD11b vs. CD33 staining of patient BAL cells (alveolar macrophages (AM桅s)卤eosinophils or other atypical myeloid subsets as featured in PT5012, blue: BAL cells, red: blood neutrophils, left panels). Histograms represent AM桅 CD11b and CD14 expression with respect to non-binding antibody (Ab) control (black: CD11b expression, gray; CD14 expression, dotted gray: non-binding Ab control, middle panels). Total BAL cell differentials calculated using flow cytometry and presented as a percentage of total live leukocytes (AM桅s: orange, polymorphonuclear neutrophils (PMNs): dark blue, other innate immune subsets: gray, CD4+ T cells: red, CD8+ T cells: green, other lymphocytes: purple, right panels). (e) Total distribution of the mean fluorescence intensity (MFI) of AM桅 CD11b and CD14 expression in all analyzed patients (n=14 patients). PowerPoint slide Full size imageOur immunophenotyping approach could thus incorporate AM桅 CD11b expression alterations with other preexisting parameters for clinical endotyping. Using these parameters, we analyzed human BAL from a randomly sampled pool of patients undergoing bronchoscopies for clinical diagnosis (see Supplementary Table S3 online). Human patients could be broadly segregated into one of four lung immunophenotypes: into patients with (a) only CD11blow AM桅s, (b) only CD11bmod AM桅s, (c) only CD11bhigh AM桅s, and (d) CD11bmod/high AM桅s with eosinophilia or atypical myeloid cell infiltration (Figure 6a鈥揹). Surprisingly, this mirrored the distinct immunophenotypes observed in C57BL/6 compared with SHIP-1鈭?鈭?/sup> and HckF/F mice. Patients with CD11blow AM桅s (set as having 猢?/span>10% AM桅s with higher CD11b expression than blood neutrophils) showed low neutrophil and monocyte infiltration and most closely resembled the BAL phenotype of healthy C57BL/6 mice (Figure 6a). Patients with CD11bmod AM桅s were arbitrarily characterized to serve as an intermediate subgroup (with 10鈥?0% CD11bpos AM桅s with higher CD11b expression than blood neutrophils) to distinguish between patients with obvious CD11blow AM桅 or CD11bhigh AM桅 phenotypes (Figure 6b). Patients with CD11bhigh AM桅s (猢?/span>40% AM桅s with higher CD11b expression than blood neutrophils) but negligible monocyte or eosinophil recruitment greatly resembled the immunophenotype of SHIP-1鈭?鈭?/sup> mice and showed increased CD4+ and CD8+ T-cell proportions in BAL (Figure 6c). Patients with CD11bmod/high AM桅s and lung eosinophilia resembled the BAL cell immunophenotype of HckF/F mice or C57BL/6 mice during the clearance phase of influenza infection (Figure 6d). Interestingly, a unique subset of CD33highCD11blow non-lymphocyte cells was additionally found in the BAL of PT5012 (Figure 6d). These atypical myeloid cells were lobe-specific to disease pathology (see Supplementary Figure S8 online).As human AM桅 CD11b expression exists in a continuum, larger-scale clinical studies are required to identify CD11bhigh AM桅 cutoffs, which correlate with increased lung or systematic inflammation and disease burden. Our results demonstrate that patients with CD11blow or CD11bhigh AM桅s exist and can be identified in a directly comparable manner. To represent AM桅 CD11b expression in an unbiased manner, we additionally calculated AM桅 CD11b MFIs and AM桅 to blood neutrophil CD11b MFI ratios for each patient (Figure 6a鈥揹 and Supplementary Table S2 online). MFI values fluctuate between individual experiments even with the usage of single peak fluorescent beads. However, patients categorized into the subgroups A and C were clearly distinguished by all calculation parameters (see Supplementary Table S2 online). As additional confirmation of CD11b selective AM桅 expression heterogeneity, we simultaneously measured AM桅 CD14 expression in the same experiment. In contrast to CD11b, CD14 AM桅 surface expression remained relatively constant between individual patients independently of AM桅 CD11b expression differences or lung disease status (Figure 6a鈥揹). Moreover, while blood neutrophil CD11b expression was relatively constant between patients, blood vs. lung neutrophil CD11b upregulation was observed in LPS-challenged C57BL/6 mice, SHIP-1鈭?鈭?/sup> and HckF/F mice and human patients with similar inflammatory BAL cell profiles (see Supplementary Figure S9a,b online). The degree of blood vs. lung neutrophil CD11b upregulation positively correlated with AM桅 CD11b upregulation (r=0.806) and further distinguished between patients with CD11blow or CD11bmod/high AM桅s, providing an additional parameter of local lung inflammation (see Supplementary Figure S9b online).DiscussionOur study describes a simplified and internally standardized flow cytometry approach for human lung immunophenotyping, adapted from the study of inflammatory lung conditions in mice. Critically, it is the first approach that can systematically profile AM桅-based alterations alongside preexisting immune cell parameters in a directly comparable manner. AM桅s are the predominant immune cell population within the lung parenchyma and express an expansive repertoire of cell surface molecules, which dynamically reorganize in response to different environmental stimuli.29 Theoretically, this should render them as more selective reporters of the inflammatory microenvironment compared with current parameters such as lung neutrophilia or eosinophilia, which only indicate immune subset presence and not phenotype.In truth, however, there are very few disease-associated M桅 markers in humans or even mice. The first reason stems from their dynamic and expansive nature; M桅s activate a spectrum of transcriptional programs in response to a diverse array of environmental stimuli in a time-dependent manner.30 This creates confusion in the absence of common descriptive standards as different studies ascribing markers to different M桅 activation states may not actually match each other.5 For instance, induced nitric oxide synthase and Arginase I expression have been extensively used to discriminate between more classically M(LPS or interferon-纬) or alternatively M(interleukin-4) activated M桅s yet their presence is confounded by mouse strain鈥搒pecific differences in enzyme expression and species-dependent differences in arginine and nitric oxide generation.31, 32 Recently, transcriptome studies of tissue M桅 and dendritic cell subsets and differentially stimulated human monocyte-derived M桅s have identified new genes with selective expression in different tissue M桅 subsets or activation stimuli (such as vascular cell adhesion molecule 1 for splenic M桅s, intercellular adhesion molecule-2 for peritoneal M桅s, Siglec H for microglial).30, 33, 34, 35 This unbiased and systematic approach may generate new disease-specific M桅 markers for further evaluation and renders the discovery of systematic human M桅 profiling methods an even more critical objective.A second obstacle lies in the difficulty of translating candidate M桅 markers from animal or in vitro studies. Few surface markers are similarly expressed on mouse and human AM桅s. Translatable M桅 activation markers are so far limited to several chemokines, scavenger receptors, and matrix proteins.5 As the only cell surface receptors from the list, scavenger receptors are the most pragmatic candidates for immunophenotyping. However, apart from MARCO,36 few scavenger receptors are even dually expressed on mouse and human AM桅s, let alone in parallel stimuli-selective patterns. More importantly, the expression of these and many other classes of M桅 surface proteins is predominantly continuous.37, 38 Continuously expressed markers are represented as MFIs, which permits semi-quantitative comparisons within single flow cytometry experiments but hinders comparisons and data replication between independent studies. MFIs also do not provide information about cell population spread, may be altered by different gating strategies, and can be inadvertently skewed by extremely low or high value false events captured, future questioning their usefulness as meaningful clinical readouts. Thus, without alternative study strategies, many future candidate human M桅 markers may be rejected in the screening process in favor of binary observations, which are biologically unlikely. A conventional myeloid cell parameter would be the frequency of CD14posCD16neg pro-inflammatory monocytes, CD14posCD16pos vs. CD14lowCD16pos patrolling monocytes in individual patients,39 which can be used to describe the local environment in terms of recruited monocyte phenotypes. However, residential M桅s possess different and often opposing functions to recruited monocytes and an understanding of residential M桅 responses may provide a more accurate reflection of the local inflammatory state. Using our flow cytometry approach, we show that AM桅 CD11b upregulation occurs in both mice and human patients alongside other inflammatory changes despite basal CD11b expression on human AM桅s. In particular, our studies suggest that CD11bhigh AM桅s may identify an important subset of patients with inflammatory lung conditions and that a combinational immunophenotyping approach that monitors AM桅 CD11b expression alongside the absence or presence of other innate immune cell subsets may provide a more personalized understanding of individual patient lung microenvironments.CD11b is a leukocyte integrin composed of the CD11b 伪 subunit and common integrin 尾2 subunit and binds to ligands intercellular adhesion molecule-1, iC3b (cleaved product of complement 3b), and fibrinogen.40 CD11b function was first suggested when a deficiency in the common integrin 尾2 subunit (and hence LFA-1, CD11b, and p150/95 assembly and surface expression) was identified in a group of patients with recurrent bacterial infections owing to defective neutrophil and myeloid cell adhesion and phagocytosis.41 Later studies identified CD11b upregulation as a functional component of neutrophil aggregation but not neutrophil endothelial cell adhesion or extravasation.42 Surprisingly, global CD11b deletion in mice does not induce prominent physiological alterations or attenuate neutrophil accumulation in inflamed tissues.43, 44 In CD11b鈭?鈭?/sup> mice, however, complement-mediated phagocytosis and vasculitis are significantly attenuated,43, 44 most likely through a failure of iC3b ligand鈥搈ediated activation of CD11b receptor signaling. From our studies, given that anti-CD11b Ab administration but not CD11b deletion attenuated lung inflammation in mice, global CD11b deletion may not replicate the consequences of transiently targeting CD11b in chronic diseases. As blocking of surface AM桅 CD11b rather than depletion of CD11bpos AM桅s most likely occurred following anti-CD11b Ab administration, it is crucial to dissect whether AM桅 CD11b signaling itself or CD11bpos/high AM桅s are potential effectors of acute and chronic lung inflammation. Specifically, the comparison of CD11bneg (or CD11blow in humans) and CD11bpos/high AM桅 transcriptomes may identify whether alterations in CD11b-related signaling pathways or a broader array of effector pathways exist between these two AM桅 subpopulations.AM桅 CD11b expression alterations have been previously described in clinical studies of acute and chronic inflammatory lung diseases. CD11bhigh AM桅s correlated with increased lung monocyte influx and respiratory failure severity in a 21-day follow-up of ARDS patients requiring mechanical ventilation.45 AM桅 CD11b upregulation was also observed in patients with pneumonia compared with healthy volunteers in a separate study that correlated CD11b AM桅 expression with the level of neutrophil chemokine interleukin-8.46 Interestingly, AM桅 CD11b expression was not significantly different between COPD patients and healthy non-smokers in a previous study, though this may reflect a recruitment of inflammatory vs. non-inflammatory COPD endotypes.47 Overall, the current diversity of CD11b AM桅鈥?and lung eosinophil鈥揳ssociated mouse models of emphysema temptingly suggests that distinct lung innate immune cell niches may be present in different COPD endotypes. Lung immunophenotyping in previously established COPD animal models may also help the field to more clearly differentiate immune- vs. non-immune-driven mechanisms of human COPD pathogenesis.48Although our approach can be immediately used in any flow cytometer facility, small caveats remain that apply to all lung immunophenotyping studies. Sample storage needs to be consistent for large-scale usage.49 We used freshly obtained BAL samples for our studies in order to match the in vivo immunophenotype as closely as possible. This may be difficult in places where same-day flow cytometry analysis is not possible and cryopreservation options have to be explored. Cigarette smoke鈥搃nduced cell autofluorescence is also a major obstacle as background AM桅 signals are exponentially increased in current smokers, confounding fluorescence AM桅 read-outs. Current cigarette smokers ( 6 months) were excluded from our study, but this may be undesirable for COPD endotyping. In unavoidable scenarios, it is possible that non-fluorescence detection methods such as mass cytometry may be employed to characterize all samples from a similar baseline, although non-specific Ab-binding issues may still exist.In summary, our study introduces a new internally standardized and hence directly comparable approach for AM桅 immunophenotyping. Used in combination with other established parameters for clinical endotyping (the presence of eosinophilia or neutrophilia), we show that inflammation-associated CD11b AM桅 profiles exist heterogeneously in both mouse lung disease models and human patients. This is timely as our understanding of immune cell contributions to disease pathogenesis and disease endotyping advances and the technology to discriminate differential immune cell subsets becomes more widely accessible.MethodsStudy approvalRecruited patients undergoing a bronchoscopy for clinical diagnosis participated voluntarily and provided informed consent under protocols approved by the Melbourne Health Institutional review board. Written informed consent was obtained from all subjects prior to inclusion.Human study subjectsNon-targeted or peri-lesion BAL were performed depending on computed tomographic scan presentations using 3 脳 20鈥塵l saline, and patient BAL cells were collected for fluorescence-activated cell sorting (FACS) analysis. Three milliliters of blood was also collected from each patient. Patient diagnosis was established by same-day tissue biopsy (see Supplementary Table S3 online). A total of 14 patient samples were analyzed with standardized machine settings using fluorescent beads (allophycocyanin (APC) and APC-Cy7 fluorescence reference standards, Bangs Laboratories, Fishers, IN). Patients with BAL samples showing highly autofluorescent AM桅s owing to recent cigarette smoke exposure were excluded from analysis as elevated autofluorescence greatly masks the surface expression of markers in AM桅s.MiceSHIP-1鈭?鈭?/sup>16 and HckF/F22 mice have been described and were crossed onto the C57BL/6 background for 猢?/span>7 generations. C57BL/6 CD11b鈭?鈭?/sup> mice were a gift from Professor Karlheinz Peter (Baker IDI Heart and Diabetes Institute, Melbourne, Australia). C57BL/6 mice were purchased from the Monash Animal Services (ARL, Melbourne, Australia). All mice were kept in specific pathogen-free conditions (Monash MARP and MICU, Melbourne, Australia). All animal experiments were approved by the Alfred Medical Research and Education Precinct (AMREP) Animal Ethics Committee in accordance with National Health and Medical Research Council (NHMRC) Australia guidelines.LPS challengeEight鈥?2-week-old C57BL/6, CD11b鈭?鈭?/sup>, SHIP-1鈭?鈭?/sup>, or HckF/F mice were lightly anesthetized with 5% isofluorane and intranasally administered 30鈥壩糽 of Escherichia coli LPS (10鈥壩糶 per mouse, serotype O114:B4; Sigma, Saint Louis, MO). LPS-challenged mice were euthanized at day 3 post-LPS challenge. Vehicle control C57BL/6 mice received 30鈥壩糽 of Dulbecco鈥檚 modified Eagle鈥檚 medium.Mem71 infectionEight鈥?2-week-old C57BL/6 mice were lightly anesthetized and intranasally delivered 30鈥壩糽 Mem71 influenza virus (31,000 pfu per mouse, sublethal dose). Mice were euthanized at day 10 postinfection.Antibody treatmentTwenty-four hours post-LPS challenge, C57BL/6 mice were lightly anesthetized and intranasally administered 30鈥壩糽 of anti-CD11b antibody (1.0, 0.5 or 0.1鈥塵g鈥塳g鈭?, clone M1/70, Bio X cell, West Lebanon, NH) or rat IgG isotype control (1鈥塵g鈥塳g鈭?, clone LTF-2, Bio X cell). Mice were euthanized on day 3. Ab administration occurred at 24鈥塰 post-LPS as this marks the onset of AM桅 Mac-1 upregulation15 and minimizes the neutralization of CD11bhigh lung neutrophils recruited earlier.Flow cytometryFor mouse BAL, filtered BAL and red blood cell鈥搇ysed blood cells were resuspended in FACS buffer (Mouse PBS, 2% fetal calf serum, 2鈥塵M EDTA) and incubated with Fc block (0.6鈥塵g鈥塵l鈭?, anti-mouse CD32/CD16, clone 2.4G2, 10鈥塵in). Cells were stained with 1掳 monoclonal Abs or non-binding Ab controls (20鈥塵in, 4鈥壜癈 on ice, listed in Supplementary Table S2 online) followed by 2掳 fluorophore conjugates where necessary (streptavidin APC-A750, 15鈥塵in, 4鈥壜癈 on ice). Cells were then washed and resuspended in 50鈥壩糽 FACS buffer with 5鈥壩糽 DAPI (4,6-diamidino-2-phenylindole) solution (1鈥壩糶鈥塵l鈭?, Sigma Aldrich, Saint Louis, MO) before analysis. Our FACS strategy has been previously described.15 To examine mouse AM桅s (see Supplementary Figure S1a online), DAPIneg cells were first gated to exclude all dead cells from analysis. Anti-mouse CD45-fluorescein isothiocyanate was next used to positively select all BAL leukocytes. Gating of FSC-A vs. FSC-W cells excluded doublet cells. Ly6g-phycoerythrin was then used to negatively gate out all neutrophils, and all lymphocytes were gated out based on their lower FSC-A and SSC-A profile. This allowed FACS analysis on the remaining M桅/monocyte subpopulations. AM桅s were discriminated from dendritic cells based on their high autofluorescence in an unstained PerCPCy5.5 channel.For human BAL (all samples in Figures 5 and 6), filtered BAL and red blood cell鈥搇ysed blood cells were resuspended in FACS buffer (Human PBS, 2% fetal calf serum, 2鈥塵M EDTA) and incubated with saturated Mouse IgG to block non-specific 1掳 antibody binding to human cells (2.5鈥壩糶 per 250,000 cells, Normal mouse IgG, Merck Millipore, Billerica, MA, 20鈥塵in on ice). Stains contained 250,000 cells per tube. Cells were stained with 1掳 monoclonal Abs or non-binding Ab controls (20鈥塵in, 4鈥壜癈 on ice; listed in Supplementary Table S5 online), washed, and resuspended in 100鈥壩糽 FACS buffer, with 5鈥壩糽 DAPI solution (1鈥壩糶鈥塵l鈭?, Sigma Aldrich) added before analysis. Critically, prior to each experiment, single-peak fluorescent calibration beads were used to maintain a standardized laser voltage for data acquisition (APC and APC-Cy7 fluorescence reference standards, Bangs Laboratories). To examine human AM桅s (see Supplementary Figure S1b online), DAPIneg cells were first positively selected to exclude all dead cells from analysis. Live CD45pos singlet cells were positively selected and neutrophils were negatively gated by CD15high staining with low FSC. AM桅s and eosinophils are positively selected by CD15high cells with higher FSC (eosinophils are CD15high and AM桅s are autofluorescent in phycoerythrin). For AM桅 MFI calculations, events are further gated in the PerCP5.5 channel for only autofluorescent AM桅s. The samples used to generate the preliminary human data shown in Figure 1a were incubated with Human TruStain FcX Fc block (Biolegend, San Diego, CA; 5鈥壩糽 per 250,000 cells, 20鈥塵in on ice) instead of purified mouse IgG.All FACS data was acquired on a LSR-Fortessa (BD Biosciences, San Jose, CA) except Supplementary Figure S2 (LSR-Canto II, BD Biosciences), and 猢?/span>5,000 AM桅 events per sample was collected. 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Immunol. 12, 191鈥?00 (2012).CAS聽 Article聽Google Scholar聽 Download referencesAcknowledgementsWe thank Karlheinz Peter for providing CD11b鈭?鈭?/sup> mice; the respiratory registrars and Michelle Thomson at the Royal Melbourne Hospital for patient consent; Maverick Lau for TUNEL staining protocols; Evelyn Tsantikos for SHIP-1鈭?鈭?/sup> genotyping; the AMREP flow cytometry facility for support; Stephen Cody and Chad Johnson from Monash Micro Imaging (Monash University) for scientific and technical assistance; and Kylie Spark, Steve Comber; and Naomi Borg from MICU and MARP animal facilities (Monash University) for monitoring the animals. This work was made possible through funding from the NHMRC, Australia; project grants 1008298 and 1080274 (to M.L.H. and G.P.A.) and 1067244 (to M.E.), program grant 1071916 (to W.C.) and support from the Victorian State Government Operational Infrastructure Scheme. M.D. was a recipient of a Cancer Research Institute Scholarship and the Nick Christopher Top-Up Scholarship, while M.E., W.C. and M.L.H. were supported by NHMRC Research Fellowships.Author informationAuthor notesM ErnstPresent address: 10Present address: Olivia Newton-John Cancer Research Institute, Austin Health, Heidelberg, Victoria 3084, Australia., AffiliationsDepartment of Immunology, Monash University, Alfred Medical Research and Education Precinct, Melbourne, AustraliaM Duan聽 聽M L HibbsDepartment of Surgery, University of Melbourne, Melbourne, AustraliaM DuanLudwig Institute for Cancer Research, Melbourne, AustraliaM DuanDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, AustraliaM Duan聽 聽W ChenDepartment of Respiratory Medicine, Royal Melbourne Hospital, Parkville, AustraliaD P Steinfort,聽D Smallwood聽 聽L B IrvingDepartment of Allergy, Immunology and Respiratory Medicine, Alfred Hospital, Parkville, AustraliaM HewThe Walter and Eliza Hall Institute for Medical Research, Parkville, AustraliaM ErnstDepartment of Medical Biology, University of Melbourne, Melbourne, AustraliaM ErnstDepartment of Pharmacology, University of Melbourne, Melbourne, AustraliaG P AndersonAuthorsM DuanView author publicationsYou can also search for this author in PubMed聽Google ScholarD P SteinfortView author publicationsYou can also search for this author in PubMed聽Google ScholarD SmallwoodView author publicationsYou can also search for this author in PubMed聽Google ScholarM HewView author publicationsYou can also search for this author in PubMed聽Google ScholarW ChenView author publicationsYou can also search for this author in PubMed聽Google ScholarM ErnstView author publicationsYou can also search for this author in PubMed聽Google ScholarL B IrvingView author publicationsYou can also search for this author in PubMed聽Google ScholarG P AndersonView author publicationsYou can also search for this author in PubMed聽Google ScholarM L HibbsView author publicationsYou can also search for this author in PubMed聽Google ScholarCorresponding authorCorrespondence to M L Hibbs.Ethics declarations Competing interests The authors declared no conflict of interest. Additional information Author contribution M.D. designed experiments, performed all mouse and human studies, analyzed and interpreted all data, conceptualized the study, and wrote the manuscript. D.P.S., D.S., M.H., and L.B.I. performed lung lavages, provided patient samples, and interpreted clinical data. W.C. interpreted data and edited the manuscript. M.E. provided a critical reagent and edited the manuscript. G.P.A. was involved in conceptualizing and funding the study and edited the manuscript. M.L.H. designed experiments, conceptualized and funded the study, interpreted all data, and edited the manuscript. All authors approved the final draft.SUPPLEMENTARY MATERIAL is linked to the online version of the paperSupplementary information Supplementary Information (DOC 7666 kb)PowerPoint slides Xuerui Zhang, Lulu Song, Lin Li, Banghui Zhu, Lina Huo, Zhaoqing Hu, Xinran Wang, Jie Wang, Mengyue Gao, Jing Zhang Zichun Hua Signal Transduction and Targeted Therapy (2021) Chengcong Yin, Long Cheng, Jiajia Pan, Lili Chen, Qi Xue, Juliang Qin, Shaoying Wang, Bing Du, Mingyao Liu, Ying Zhang, Wenzheng Jiang, Min Qian Hua Ren Mucosal Immunology (2020) Carlos A. Puyo, Alexander Earhart, Nicholas Staten, Yuan Huang, Alana Desai, Henry Lai Ramakrishna Venkatesh Scientific Reports (2018) Ahmed Metwali, Peter S. Thorne, M. Nedim Ince, Nervana Metwali, Sarah Winckler, Xiaoqun Guan, Sonay Beyatli, Jamie Truscott, Joseph F. Urban David E. Elliott Digestive Diseases and Sciences (2018) Chiou-Mei Lee, Hsin-Hsin Peng, Polung Yang, Jiin-Tarng Liou, Chia-Chih Liao Yuan-Ji Day Scientific Reports (2017)