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The role of macrophages in healing the wounded lung

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Abstract

Acute tissue injury is often considered in the context of a wound. The host response to wounding is an orchestrated series of events, the fundamentals of which are preserved across all multicellular organisms. In the human lung, there are a myriad of causes of injury, but only a limited number of consequences: complete resolution, persistent and/or overwhelming inflammation, a combination of resolution/remodelling with fibrosis or progressive fibrosis. In all cases where complete resolution does not occur, there is the potential for significant ongoing morbidity and ultimately death through respiratory failure. In this review, we consider the elements of injury, resolution and repair as they occur in the lung. We specifically focus on the role of the macrophage, long considered to have a pivotal role in regulating the host response to injury and tissue repair.
... AMs can also act as accessory cells by presenting antigens to T lymphocytes to facilitate adaptive immune responses [11,12]. Finally, upon pathogen clearance, AMs play a critical role in the repair and remodeling of connective tissue in the lung parenchyma [13]. Therefore, AMs are the main gatekeepers orchestrating pulmonary immune balance and tissue repair processes during homeostasis and inflammation. ...
... 23 Some studies have proposed that latent intracellular mycobacteria infection can raise a dysfunction of macrophages, resulting in persistent and excessive activation of inflammatory immunity. 24,25 The aforementioned processes are pivotal in the airway remodeling process that leads to chronic airflow obstruction. 26 Age is often listed as a risk factor for COPD because there is a physiologic decline in lung function with age. ...
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Background Prior pulmonary tuberculosis (PTB) might be associated with the development of chronic obstructive pulmonary disease (COPD). However, the impact of prior PTB on the risk of incident COPD has not been studied in a large prospective cohort study of the European population. Objectives This study aimed to investigate the association of prior PTB with the risk of COPD. Design Prospective cohort study. Methods A multivariable Cox proportional model was used to estimate the hazard ratio (HR) and 95% confidence interval (95% CI) for the association of prior PTB with COPD. Subgroup analyses were further conducted among individuals stratified by age, sex, body mass index, smoking status, drinking status, physical activity, and polygenic risk score (PRS). Results The study involved a total of 216,130 participants, with a median follow-up period of 12.6 years and 2788 incident cases of COPD. Individuals with a prior history of PTB at baseline had an 87% higher risk of developing incident COPD compared to those without such history [adjusted hazard ratio (aHR) = 1.87; 95% confidence interval (CI): 1.26–2.77; p = 0.002]. Subgroup analysis revealed that individuals having prior PTB history presented a higher risk of incident COPD among individuals who were aged from 50 to 59 years with aHR of 2.47 (1.02–5.95, p = 0.044), older than 59 years with aHR of 1.81 (1.16–2.81, p = 0.008), male with aHR of 2.37 (1.47–3.83, p < 0.001), obesity with aHR of 3.35 (2.16–5.82, p < 0.001), previous smoking with aHR of 2.27 (1.39–3.72, p < 0.001), current drinking with aHR of 1.98 (1.47–3.83, p < 0.001), low physical activity with aHR of 2.62 (1.30–5.26, p = 0.007), and low PRS with aHR of 3.24 (1.61–6.53, p < 0.001), as well as high PRS with aHR of 2.43 (1.15–5.14, p = 0.019). Conclusion A history of PTB is an important independent risk factor for COPD. Clinical staff should be aware of this risk factor in patients with prior PTB, particularly in countries or regions with high burdens of PTB.
... Due to their multiscale geometry with a set of characteristic distances ranging from a few micrometers lattice spacing down to 500 nm features [12], fractal-like inorganic architectures arrayed over a substrate can serve as biomimetics, such as tissue and wound healing applications. In fact, the most significant representation of fractal geometries in the human tissues is the lungs [13,14], where lung-resident macrophages play a key role in regulating both injury and tissue repair [15]. Among these macrophages, two main populations exist: M1, which inhibits cell proliferation, and M2, which promotes cell proliferation and tissue repair. ...
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In vitro cellular models denote a crucial part of drug discovery programs as they aid in identifying successful drug candidates based on their initial efficacy and potency. While tremendous headway has been achieved in improving 2D and 3D culture techniques, there is still a need for physiologically relevant systems that can mimic or alter cellular responses without the addition of external biochemical stimuli. A way forward to alter cellular responses is using physical cues, like 3D topographical inorganic substrates, to differentiate macrophage-like cells. Herein, protein secretion and gene expression markers for various macrophage subsets cultivated on a 3D topographical substrate are investigated. The results show that macrophages differentiate into anti-inflammatory M2-type macrophages, secreting increased IL-10 levels compared to the controls. Remarkably, these macrophage cells are differentiated into the M2d subset, making up the main component of tumour-associated macrophages (TAMs), as measured by upregulated Il-10 and Vegf mRNA. M2d subset differentiation is attributed to the topographical substrates with 3D fractal-like geometries arrayed over the surface, else primarily achieved by tumour-associated factors in vivo. From a broad perspective, this work paves the way for implementing 3D topographical inorganic surfaces for drug discovery programs, harnessing the advantages of in vitro assays without external stimulation and allowing the rapid characterisation of therapeutic modalities in physiologically relevant environments.
... Macrophages are phenotypically plastic cells, with their transcriptional make-up being highly dependent on their environment and the external stimulant. Consistent with this, their function and role in fibrosis changes with disease progression (Alber et al. 2012;Zhang et al. 2018;Ogawa et al. 2021). At the early stages of the disease, characterized by the inflammation of epithelial cells lining the airways, 'classically activated' macrophages are observed (Fig. 4A). ...
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Comparing molecular features, including the identification of genes with differential expression (DE) between conditions, is a powerful approach for characterising disease-specific phenotypes. When testing for DE in single-cell RNA sequencing data, current pipelines first assign cells into discrete clusters (or cell types), followed by testing for differences within each cluster. Consequently, the sensitivity and specificity of DE testing are limited and ultimately dictated by the granularity of the cell type annotation, with discrete clustering being especially suboptimal for continuous trajectories. To overcome these limitations, we present miloDE - a cluster-free framework for differential expression testing. We build on the Milo approach, introduced for differential cell abundance testing, which leverages the graph representation of single-cell data to assign relatively homogenous, neighbouring cells into overlapping neighbourhoods. We address key differences between differential abundance and expression testing at the level of neighbourhood assignment, statistical testing, and multiple testing correction. To illustrate the performance of miloDE we use both simulations and real data, in the latter case identifying a transient haemogenic endothelia-like state in chimeric mouse embryos lacking Tal1 as well as uncovering distinct transcriptional programs that characterise changes in macrophages in patients with Idiopathic Pulmonary Fibrosis. miloDE is available as an open-source R package at https://github.com/MarioniLab/miloDE.
... Once the lung microbiota is unbalanced, it will result in aberrant immunological signal transduction. On the one hand, the above biological effects will cause the reproduction of pathogenic bacteria in a vicious cycle, further damage the pulmonary microbiota, and participate in the occurrence and development of lung fibrosis (5,6). On the other hand, the unbalanced microbiota will cause the antigen-presenting cell (mainly macrophage), B cell, T cell, and natural killer cell to participate in pathological biological effects. ...
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Pulmonary fibrosis is an irreversible disease, and its mechanism is unclear. The lung is a vital organ connecting the respiratory tract and the outside world. The changes in lung microbiota affect the progress of lung fibrosis. The latest research showed that lung microbiota differs in healthy people, including idiopathic pulmonary fibrosis (IPF) and acute exacerbation-idiopathic pulmonary fibrosis (AE-IPF). How to regulate the lung microbiota and whether the potential regulatory mechanism can become a necessary targeted treatment of IPF are unclear. Some studies showed that immune response and lung microbiota balance and maintain lung homeostasis. However, unbalanced lung homeostasis stimulates the immune response. The subsequent biological effects are closely related to lung fibrosis. Core fucosylation (CF), a significant protein functional modification, affects the lung microbiota. CF regulates immune protein modifications by regulating key inflammatory factors and signaling pathways generated after immune response. The treatment of immune regulation, such as antibiotic treatment, vitamin D supplementation, and exosome micro-RNAs, has achieved an initial effect in clearing the inflammatory storm induced by an immune response. Based on the above, the highlight of this review is clarifying the relationship between pulmonary microbiota and immune regulation and identifying the correlation between the two, the impact on pulmonary fibrosis, and potential therapeutic targets.
... Conversely, M2 macrophages produce anti-inflammatory cytokines to resolve ongoing inflammation while initiating tissue repair [66]. In the lungs, this polarization shift from inflammatory M1 to reparative M2 is key to resolving pulmonary inflammation and inducing tissue repair after infection [67]. Combined preclinical and clinical evidence indicates increased ACh/cholinergic signal transmission alters inflammatory cytokine expression, limits pulmonary damage and decreases overall morbidity and mortality during respiratory injury and infection. ...
Chapter
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