Insights into the immuno-pathogenesis of acute respiratory distress syndrome
Review Article

Insights into the immuno-pathogenesis of acute respiratory distress syndrome

Judith Ju Ming Wong1,2, Jing Yao Leong2, Jan Hau Lee1, Salvatore Albani2,3, Joo Guan Yeo2,3

1Children’s Intensive Care Unit, Department of Pediatric Subspecialty, KK Women’s and Children’s Hospital, Singapore; 2Translational Immunology Institute, Singhealth/Duke-NUS Academic Medical Centre, Singapore; 3Division of Medicine, KK Women’s and Children’s Hospital, Singapore

Contributions: (I) Conception and design: JJM Wong, JG Yeo; (II) Administrative support: None; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: JJM Wong, JY Leong; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Judith Ju Ming Wong. Children’s Intensive Care Unit, Department of Pediatric Subspecialty, KK Women’s and Children’s Hospital, 100 Bukit Timah Road, Singapore. Email: judith.wong.jm@singhealth.com.sg.

Abstract: Acute respiratory distress syndrome (ARDS) is a clinical syndrome associated with oxygenation failure resulting from a direct pulmonary or indirect systemic insult. It is a complex etiological phenomenon involving an array of immune cells acting in a delicate balance between pathogen clearance and immunopathology. There is emerging evidence of the involvement of different immune cell types in ARDS pathogenesis. This includes polarization of alveolar macrophages (AMs), neutrophil netosis, the pro-inflammatory response of T helper 17 subsets, and the anti-inflammatory and regenerative role of T regulatory cell subsets. Knowledge of these pathogenic mechanisms has led to translational opportunities, for example, research in the use of methylprednisolone, DNAse, aspirin, keratinocyte growth factor and in the development of stem cell therapy for ARDS. Discovering subgroups of patients with ARDS afflicted with homogenous pathologic mechanisms can provide prognostic and/or predictive insight that will enable precision medicine. Lastly, new high dimensional immunomic technologies are promising tools in evaluating the host immune response in ARDS and will be discussed in this review.

Keywords: Respiratory; lung; acute lung injury; immunology; immunity; immune cells


Submitted Mar 12, 2019. Accepted for publication Aug 26, 2019.

doi: 10.21037/atm.2019.09.28


Introduction

Acute respiratory distress syndrome (ARDS) is a clinical syndrome characterized by oxygenation failure with significant morbidity and mortality due to inflammation and accumulation of a proteinaceous exudate within the pulmonary air spaces (1,2). Its most common etiology is respiratory infection due to viruses and bacteria with the occasional fungal pathogens but it can also be the result of an indirect sepsis or sterile systemic inflammation due to burns, polytrauma and pancreatitis (2). The pathogenesis of ARDS is multi-factorial and involves diverse immune cells of both the innate and adaptive immune system that mediate the propagation of lung injury triggered by these insults (3). In this review, we will critically appraise the roles of the different immune cell types in ARDS pathogenesis with a focus on recent studies which utilize high dimensional immunomics technologies. This multi-parametric approach is well-suited to address the complexity of ARDS immunopathogenesis in a comprehensive and holistic manner.


Innate immune system

Alveolar epithelial cells (AECs) which form the pulmonary epithelium act as a physical barrier to the external environment (4). Alveolar macrophages (AMs) residing within the air spaces and interstitium are the earliest immune cells to detect the presence of pathogens or injury (4). In contrast, dendritic cells (DCs) act as an interface between the innate and adaptive immune system and resides deep to the airway epithelial layer, within alveolar septae and pulmonary interstitium but has extensive dendrites that are apt in sensing its environment for inhaled antigens (4). DCs are professional antigen presenting cells that will mature and migrate to the lymph nodes to prime the adaptive responses when exposed to a presentable antigen (5). Collectively, AECs, AMs and DCs function as sensor cells which detect danger signals through the pattern recognition receptors (PRR) and initiate innate responses. These danger signals include those that are (I) infective in origin; pathogen associated molecular patterns (PAMPs), and (II) non-infective from cellular damage; danger associated molecular patterns (DAMPs) or alarmins (6). Their ability to sense these signals are attributed to several receptor pathways including Toll-like receptors, Retinoic acid inducible gene 1-like receptors, cytosolic DNA sensors and nucleotide oligomerization domain-like receptors (4,6).

Activated sensor cells directly recruit effector cells for pathogen clearance and secrete a first wave of cytokines (AECs secrete IFNλ, CCL2, AMs secrete IFNα, IFNβ, IL-6, TNF, IL-12 and DCs secrete IL-12, IL-23, IL1β) to alert resident lymphocytes (4). These tissue resident lymphoid cells consisting of cytotoxic T cells, TH1 cells, TH17 cells, NK cells, NKT cells, γδT cells and innate lymphoid cells (ILCs) (type 1,2 and 3) respond to the first wave of cytokines by secreting a second wave (7). Group 1 ILCs secrete TH1 cytokines (IFNγ and TNF), group 2 ILCs secrete TH2 cytokines (IL-5, IL-13, IL-33) whereas group 3 ILCs secrete TH17 cytokines (IL-17A and IL-22) (7,8). Cytotoxic T cells become primed and increases its cytotoxic activity. NK cells produce IFNγ and IL-22 exerting cytotoxic effects on viral and intracellular bacteria infected cells and promote DC maturation. γδT cells are a major source of IFNγ, TNFα and IL-17. These second wave of cytokines, are chemoattractant towards circulating neutrophils and monocytes, stimulate AECs to increase production of antimicrobial peptides and chemokines, and AMs to enhance phagocytosis. In summary, a constellation of immune cells acts in concert through cyclical waves of cytokines within the lung interphase.

Diverging roles of AMs in ARDS

In health, AMs performs its primary role in tissue homeostasis through the scavenging and clearance of cellular debris and apoptotic cells without inciting an inflammatory response (9). This includes secretion of GM-CSF for surfactant catabolism, without which surfactant will accumulate in the alveoli causing impaired gas exchange and pulmonary alveolar proteinosis (10). In this homeostatic state, AMs receive constant negative regulatory signals including CD200, TGFβ and IL-10 from the surrounding AECs, which prevents the AMs from being activated (11,12). A high basal CD 200 receptor expression by myeloid cells in contact with the airway mucosa allows it to deal with the amount of pathogen exposure (11). CD 200 ligand binding results in an inhibitory signal to the CD 200 receptor cells, therefore maintaining myeloid restraint (11). TGFβ and IL-10, both enhances CD 200 receptor expression, thus increasing the sensitivity of myeloid cells towards CD200 mediated inhibition. Separately, TGFβ acts in concert with epithelial αvβ6 integrin to suppress AM activation and type 1 IFN signaling in an influenza acute lung injury (ALI) model (13).

During the disease course of ARDS, AMs exist in a dynamic balance between pro-inflammatory M1 and anti-inflammatory M2 polarized states. Circulating monocytes are proinflammatory but AMs were shown to be anti-inflammatory in a lipopolysaccharide (LPS) induced ALI mouse model (14). In this study, depletion of circulating monocytes reduced neutrophilic infiltration and inflammatory mediator expression e.g., IL-17, MCP-1, HMGB-1 (14). In contrast, depletion of AMs upregulated these mediators, suggesting its protective role (14). Clinical studies of patients with direct and indirect ARDS reaffirmed that a state of sustained monocyte influx positively correlates with severity of respiratory failure as indicated by the higher oxygenation index (15). Further studies describe M1 and M2 macrophage subtypes with distinct surface markers (M1 associated with ICAM-1, CD 40, and M2 with transferrin receptor, mannose receptor), gene expression and effector function (16). The M1 subtype is induced by proinflammatory TH1 cytokines, such as IFN-γ as well as LPS (16). It then responds with the secretion of IL-1β, IL-12, TNFα and inducible nitric oxide synthase (16). In contrast, the M2 subtype is induced by TH2 cytokines IL-4 and IL-13 and secretes anti-inflammatory IL-10 (16). These polarized states occur in flux during the course of ALI (16). Intratracheally administered LPS in conjunction with M2 AMs resulted in reduced neutrophilic infiltration, reduced oxidative stress and TNFα, IL-1β, IL-6, and increased T regulatory (Treg) cells with IL-10 compared to LPS alone (17). Blockade of programmed death ligand 1/programmed death 1 (PD-L1/PD-1) pathway reversed cytokine production of M2 AM in bronchoalveolar lavage (17).

Treatment with methylprednisolone promoted M2 rather than M1 polarization which aided in the preservation of lung mechanics (18). This was demonstrated in a mouse model of sepsis and ARDS where methylprednisolone administered intravenously to mice together with LPS was associated with induction of M2 phenotype and cytokine profile in a dose dependent manner (18). Induced M2 cells co-cultured with CD4+ naïve T cells, in turn, induce differentiation of Treg lymphocytes demonstrating for the first time, macrophage-Treg interactions (18).

Implications of netosis/neutrophils in ARDS

Neutrophils patrolling in the blood stream and marginated in the pulmonary vasculature constitute a ready pool of effector cells that migrate towards the presence of chemoattractants like CXCL8 secreted by sensor cells (19). To reach the pathogenic site within pulmonary tissue, neutrophils secrete MMP9 which breaks down the collagen within the extra cellular matrix (ECM) (20). The presence of TNF in the surrounding tissue enhances MMP9 secretion by neutrophils thereby directing them towards the focus of inflammation/infection (21). Neutrophils subsequently begin phagocytosis and degranulation of neutrophil elastase, myeloperoxidase, reactive oxygen species (ROS) and neutrophil extracellular traps (NETs) which assist in clearance of viral, bacterial or fungal pathogens. Netosis refers to a neutrophil specific cell death process whereby NETS are deployed to immobilize and kill pathogens while precipitating its own death (22). NETs consist of histones, decondensed chromatin fibres and granule components. While its main purpose is to limit the pathogenic burden, some bacteria and viruses cause excessive NETs formation which leads to further lung damage and respiratory failure (23,24).

Lethal doses of Influenza A used in mice incites extensive NETs formation within the alveoli resulting in airway obstruction within bronchioles, extending to endothelial damage thus impairing gas exchange across blood vessels (25). Respiratory syncytial virus (RSV) invoked NETs formation that normally affords for successful capture of RSV particles in vitro, thereby preventing infection of target epithelial cells (24). However, in vivo, marked formation of NETs observed during RSV lower respiratory tract infection resulted in accumulation of dense NETs plugs which obstructed the airways without capturing of viral antigen, suggesting an exaggerated adverse and ineffective response (24).

Certain bacteria like staphylococcus aureus, streptococcus pneumoniae and hemophilus influenzae have been described to evade the bactericidal activity within NETs (23,26). Partially degraded NETs were observed when incubated with streptococcus pneumoniae, suggesting degradation of DNA in NETs by endonucleases produced by streptococcus pneumoniae (23). Moreover, co-infections induced larger yet ineffective clusters of NETs compared to bacteria or Influenza alone, and was associated with increased respiratory failure, inflammation, and bacteremia (23). These NETs formation entangled within alveoli in areas of histological tissue injury and bronchoalveolar fluid provides evidential link between netosis and ARDS (25,27).

In transfusion-related acute lung injury (TRALI), activated platelets induce NETs formation promoting coagulation and thrombi formation in the lungs (28,29). In a patient with TRALI, NETs were detected within the lung microvasculature and traces of the NETs’ components were detected in circulation (28). This was in contrast with a patient who developed transfusion associated circulatory overload (TACO), in which neutrophils were found in the alveoli without accompanying NETs formation (28), providing evidence on the immunological differences between TRALI and TACO. The same study noted higher amounts of plasma NETs components in TRALI patients as opposed to other causes of lung injury (28). Distinguishing TRALI and TACO through better markers will facilitate the differential treatment required.

As human neutrophils generate NETs in the presence of platelets activated by thrombin receptor-activating peptide (TRAP), investigators attempted to inhibit platelet activation with tirofiban (glycoprotein IIb/IIIa inhibitor) (28). In this mouse model of TRALI, tirofiban decreased to NETs formation, extravascular lung water, lung vascular permeability and platelet sequestration (28). In a clinical trial with healthy human volunteers randomized to low dose aspirin, high dose aspirin or placebo prior to inhalation of LPS (30). Aspirin (regardless of dose) reduced neutrophil counts and neutrophil proteases (MMP8, MMP9) in the bronchoalveolar lavage fluid (30). However in patients admitted to the emergency department who were at risk of developing ARDS, aspirin was not observed to prevent the development of ARDS in a clinical phase 2b randomized controlled trial (31).


Adaptive immune system

Adaptive responses are triggered shortly after activation of the innate system. In response to the first wave of cytokines, pulmonary DCs migrate to regional lymph nodes and prompts activation, proliferation and differentiation of naïve CD4+ T cells to a variety of effector CD4+ cells. The CD4 adaptive response is polarized based on whether TH1 or TH2 responses are generated. TH1 differentiation occurs under the influence of T-Bet, STAT4 (transcription factors), and IL-12, and is characterized by IFNγ induced cell death in infected cells. TH2 differentiation requires GATA3, STAT6 (transcription factors), IL-4 and is characterized by stimulation of B cell differentiation and antibody production.

In response to DC antigen presentation, CD8+ T cells also differentiate into cytotoxic or memory CD8+ T cells. LPS induction of ALI mice resulted in CD8+ T cell lung infiltration by the 12 hours window (32). Patients with viral lower respiratory tract infections have higher CD8: CD4 cell ratios in airway aspirates compared to patients with no infection; a phenomenon particularly pronounced in patients with infective ALI (33). CD8+ T cells recognize antigen bound MHC complexes via T cell receptors effecting (I) perforin/granzyme mediated cytolysis, (II) FasL/Fas signaling and (III) TRAIL/TRAIL-DR signaling. Perforin first form pores and then granzyme is released into the target cell inducing apoptosis. FasL binding to Fas receptor and TRAIL ligand binding to TRAIL-DR receptor on infected cells triggers apoptosis. Additionally, cytotoxic T cells secrete IFNγ, TNFα and IL-2 (induces proliferation and survival of cytotoxic T cells). In combination, these cytokines have extremely potent cytotoxicity. Along with Treg cells, cytotoxic T cells also produce IL-10, without which, its own inflammatory actions may be overexuberant. Memory T cells are also capable of IL-22, IL-17 and IFNγ secretion independent of T cell receptor stimulation which contribute to ALI (34).

Inflammatory Th-17 response in selected ARDS patients

TH17 cells are the prominent producers of IL-17A, IL-17F, IL-21 and IL-22. The hallmark cytokine IL-17 triggers downstream production of chemokines CXCL9 and CXCL10 to recruit neutrophils and increases bacterial-induced neutrophilic response in the bone marrow. Indeed, the absence of IL-17A in LPS induced ALI resulted in a 100-fold reduction in neutrophil infiltration (35).

LPS induced ARDS in mice led to clonal expansion of TH 17 cells in the lungs which was associated with increased alveolar epithelial permeability (36). Deficient TH17 cells, loss of IL-17 receptor C or anti-IL-17A antibody decreased alveolar epithelial permeability (36). Direct addition of recombinant IL-17A increased permeability in human alveolar epithelial monolayers (36). Another study showed that inhibition of IL-17 and IL-22 resulted in decreased recruitment of neutrophils and macrophages, and increasing numbers of Treg cells (37). This was also corroborated in human clinical studies, where bronchoalveolar lavage (BAL) from adult ARDS patients showed increased IL-17A concentrations (36). BAL from children with sepsis induced ALI (n=50) had increased TH17 cells in patients with greater severity of illness and in non-survivors (38). Patients with pulmonary complications of trauma had increased TH17 cell cytokines including IL-17A, IL-17F, IL-21 and IL-6 (39). However, analysis of these lung trauma patients indicated no difference in patients with/without ARDS, except that plasma and bronchoalveolar lavage IL-6 was markedly greater in patients who developed ARDS (39). Though evidence indicate that TH17 responses in the lung are inflammatory, the presence of IL-22 can contribute towards lung epithelial proliferation and repair (40).

Suppressive and regenerative role of T regulatory cells in ARDS patients

Treg cells as defined by the expression of CD25 and the hallmark transcription factor FOXP3, serve to restrain excessive inflammation and restore homeostasis by secreting IL-10 and TGFβ. An LPS induced ALI mouse model demonstrated that depletion of Treg cells by intraperitoneal injection of either anti-CD25 or TGFβ neutralization resulted in prolonged inflammation dominated by neutrophils, macrophages and TH17 cells (37). Treg cells and IL-10 was also found to be protective in a TRALI mice model (41).

Clinical studies comparing patients with ARDS, pneumonia and healthy controls showed increased systemic and pulmonary IL-10 producing CD4+ T cells in the ARDS group (42). ARDS survivors also had higher IL-10 producing CD4+ T cells compared to non-survivors (42). The anti-inflammatory effects of Tregs are ascribed to elimination of myeloid antigen presenting cells (monocytes and DCs) by granzyme B production and suppression of CD8+ T cell IFNγ production (42). Th-17/T reg ratio has also been studied as a biomarker for mortality prediction (43). The ratio increased from mild to severe ARDS within 24 hours of ARDS, positively correlated with Acute physiology, Age, Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score and Lung Injury Score, and negatively correlated with partial pressure of arterial oxygen: fraction of inspired oxygen (PF) ratio (43). It predicted mortality in a cohort containing patients with ARDS and healthy control with an area under the receiver operating curve of 0.79 (43). In healthy volunteers exposed to LPS instillation (n=15), BAL taken across a 24hr window revealed CD4+ and CD8+ T cells had increased activation markers (HLA-DR+ DR38+), decreased naïve markers (CD45RA+ CD27+ CCR7+), increased effector memory markers (CD45RA CD27+ CCR7) and importantly increased Treg cells (44).

Interestingly, Treg cells also aid in regeneration. LPS exposure elicits alveolar epithelial damage which then undergoes proliferation and repair. In mouse models, this coincides with increased Treg cells. Treg cell depletion decreases alveolar epithelial proliferation and delays recovery (45). Adoptive transfer of Treg cells back into lymphocyte deficient Rag−/− mice corrects not only elevated alveolar proinflammatory cytokines and increased neutrophil apoptosis, but also normalized resolution of lung injury (46,47). Proliferation of alveolar epithelium is enhanced by keratinocyte growth factor (KGF) expressed by Treg during the recovery phase of ALI (48). When Tregs were isolated specifically from the pulmonary environment and co-cultured with AECs, both growth factors, KGF and amphiregulin were produced (48).

In light of the beneficial effects mediated by Treg cells, several studies to boost their frequency or function are underway in animal models. DNA methyltransferase (DNMT) inhibitor augments Treg cell number and function by enhancing FOXP3 expression (49). In an LPS induced ALI mouse model, DMNT inhibitor increases lung Treg cells and accelerates repair (49). The macrolide antibiotic, erythromycin, when given to rats exposed to lung inflammation induced by cigarette smoke, was shown to increase the number of Treg cells and inhibit lung damage through yet an unknown mechanism (50). Acting on the cAMP signaling pathway and possibly via modulation of transcription factors (FOXP3, RORγt, STAT3), phosphodiesterase inhibitors increase the number of Treg cells, restoring the Treg/Th17 ratio (51). This was associated with attenuation of lung injury and reduced mortality in mice with ARDS induced through cecal ligature and puncture (51).

Age-related differences exist in Treg cells and in particular, their response to ALI during early postnatal development was shown in mice models (52). 72 hours after LPS exposure, neonatal lungs were slower to resolve inflammation and expressed lower mRNA levels of CCL2, CCL5, CXCL10, and IL-10 as compared with juvenile mice (52). Neonatal mice also were not able to significantly increase airway Treg cells as opposed to juvenile mice (52). When adult Treg cells were adoptively transferred into neonatal mice, they had reduced lung inflammation and improved weight gain (52).

PD1 is an immune checkpoint protein involved in the suppression of chronic T response and can directly modulate the ability of Treg cells to suppress ARDS. PD1 deficient mice seemed to lose the beneficial effects of Treg cells on lung inflammation, however, when exogenous T reg cells were adoptively transferred, they were able to home in to the injured lung tissue to decrease neutrophil influx, decrease lung cell apoptosis and increase regional IL-10 levels (53). The PD-L1, rather than its receptor PD1 was later shown to be crucial in influencing response of Treg cells (54). Cytotoxic T cell associated antigen 4 (CTLA4), another immune checkpoint protein, commonly expressed on Tregs, that acts as a negative T cell proliferation regulator during the early phase of immune response was investigated in patients with ALI (55). CTLA4 on CD4+ and CD8+ T cells were elevated in patients with ALI compared to controls and there was positive correlation with the APCAHE II score (55). At the time of death, expression CTLA4 was higher than at the time of recruitment (55).

Lastly, the immunomodulatory effects of Treg cells and M2 polarized AMs, is asserted as one of the main mechanisms for the beneficial effects of cell-based therapy on ARDS, specifically mesenchymal stem cell (MSC) therapy (56). It is shown to enhance resolution of inflammation (57,58), restore alveolar-capillary barrier and lung function (57,59) and improve pathogen clearance (59,60). On the back of convincing preclinical studies, a phase 1 trial studying the effects of a single dose of intravenous MSCs in patients with moderate-to-severe ARDS determined this therapy to be safe and potentially beneficial in reducing the lung injury score and sequential organ failure assessment score in a dose dependent manner (61). Following that, the recent Stem cells for ARDS Treatment (START) trial, a randomized phase 2a trial (n=60), reaffirmed safety in the usage of MSC therapy, but was underpowered to detect any clinical improvement (62).

Mass cytometry reveals Involvement of γδT cells in bacterial lung infection

γδT cells are resident tissue lymphocytes involved in early primary effector response activating neutrophils, macrophages and cytotoxic T cells. Cytometry by time-of-flight (CyTOF) mass cytometry was used to interrogate BAL, spleen and lymph nodes from streptococcus pneumoniae infected/uninfected mice to identify γδT cell responses (63). Active infection induces an increase in lung γδT cells and the local production of IFNγ and IL-17 (63). Novel Gr1+ CD14+ markers identified were able to differentiate IL-17 from IFNγ producing γδT cell (63). Phosphorylation of ZAP70 and p38 in Gr1+ γδT cells suggest that both innate and T cell receptor signaling pathways are involved in γδT cell activation, whereas, phosphorylation of ZAP70 alone in Gr1- γδT cells suggest activation is T cell receptor dependent (63).


Exploiting technological opportunities in ARDS

One of the main limitations as reflected by the current literature on ARDS is the paucity of basic and translational studies on healthy or diseased human subjects. As described above, majority of studies were performed on well-defined animal models of ALI. Another limitation is the low dimensionality of techniques deployed to phenotype cells, activation states and cytokines profiles.

One recent technological development in the field of immunology is the emergence of CyToF (64). Cellular subsets are stained with rare heavy metal isotopes conjugated to antibodies targeting cellular markers of interest. These stained cells are channeled towards a neubuliser and vaporized into its constituent ions and detected for the presence of those rare heavy metals in a mass spectrometry configuration. As CyTOF allows for the staining of approximately 40 cell markers without the need for spectral compensation, it has the potential to identify new cell populations which would not otherwise be uncovered by conventional flow cytometry (64). Recently, CyTOF mass cytometry investigation of AMs identified 3 distinct novel subtypes (65). CD33+CD71+CD163+ AMs from bronchoalveolar lavage from healthy, non-ARDS and ARDS subjects were interrogated and CD169 and PD-L1 surface expression produced the best discrimination between these subtypes (CD169hiPD-L1hi AM-1, CD169hiPD-L1lo AM-2 and CD169lo AM-3) (65). In view of this finding, PD-L1 gene expression was evaluated and subjects with high ventilator-free days were found to express higher PD-L1 in two independent cohorts (65).

Given the heterogenous etiology of ALI/ARDS and the complex host immune response, CyTOF is a well-suited tool capable of interrogating a variety of cell types simultaneously. Nevertheless, the uptake rate of CyTOF for cell characterization in patients with ALI/ARDS is still limited due to the prohibitive cost of acquiring the machine and complexity of high dimensional analysis.

Another promising strategy is the next generation sequencing technique, RNA-Seq, which quantifies the transcriptome of a cell or tissue thus capturing a snapshot of gene expression of that cell in the current disease state (66). In contrast to analyzing cells or tissue in bulk, single cell approaches now allow for the interrogation of the transcriptome at single cell resolution (67). Isolation of single cells and amplification of the genome is necessary prior to analysis (67). Single-cell RNA-seq methods allows measurement of expressed transcripts in rare or poorly defined cell populations hence providing the opportunity to evaluate gene expression in potential individual cell populations driving ARDS pathogenesis. This technique allows comparison between cells or tissues in disease states to identify disease-relevant genes and pathways.


Conclusions

ARDS is a complex etiological phenomenon involving a complex array of immune players acting in concert. Emerging evidence reveal the importance of AMs, neutrophils, Tregs and Th17 subsets as potential key players (Table 1). At this moment, it is hard to decipher the relative importance of the key players involved in the pathology of ARDS. Yet with the development of new single cell technologies, we may be better positioned to dissect through this heterogeneous cloud of immune network, and unveil distinct subsets that may allow for new diagnostic and therapeutic opportunities.

Table 1
Table 1 Summary of the main immune cell types involved in acute respiratory distress syndrome and their immunopathogenesis
Full table

Acknowledgments

None.


Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.


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Cite this article as: Wong JJ, Leong JY, Lee JH, Albani S, Yeo JG. Insights into the immuno-pathogenesis of acute respiratory distress syndrome. Ann Transl Med 2019;7(19):504. doi: 10.21037/atm.2019.09.28