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McMahon, J.

Publications and source records attributed to McMahon, J..

3 recordsLinked to original sources

Identification of a Broadly Fibrogenic Macrophage Subset Induced by Type 3 Inflammation in Human and Murine Liver and Lung Fibrosis

Macrophages are central orchestrators of the tissue response to injury, with distinct macrophage activation states playing key roles in the progression and resolution of fibrosis. Identifying the unique fibrogenic macrophages that are found in human fibrotic tissues could lead to new and more effective treatments for fibrosis. Here we used human liver and lung single cell RNA sequencing datasets to identify a unique subset of CD9+ TREM2+ macrophages expressing SPP1, GPNMB, FABP5, and CD63 with strong pro-fibrotic activity. This population was validated across orthogonal techniques, species and tissues. These macrophages were enriched at the outside edges of scarring adjacent to activated mesenchymal cells, and in the fibrotic niche across species and organs. Neutrophils producing the type 3 cytokines GM-CSF and IL-17A, and expressing MMP9, which participates in the activation of TGF-{beta}1, clustered with these scar-associated macrophages. Using in vitro primary human cell assays, we determined that GM-CSF, IL-17A and TGF-{beta}1 drive the differentiation of these scar-associated macrophages, and that co-culture of monocyte-derived macrophages with hepatic stellate cells and TGF-{beta}1 augmented type 1 collagen deposition. In vivo blockade of GM-CSF, IL-17A or TGF-{beta}1 with small or large molecules reduced scar-associated macrophage expansion and fibrosis in multiple models of hepatic and pulmonary fibrosis. Our work demonstrates that a specific scar-associated macrophage population is linked with fibrosis across species and tissues. It further provides a strategy for unbiased discovery, triage and preclinical validation of therapeutic targets within this fibrogenic macrophage population.

immunology↗

COVID-19 vaccine booster induces a strong CD8+ T cell response against Omicron variant epitopes in HLA-A*02:01+ individuals

The >30 mutated residues in the Omicron spike protein have led to its rapid classification as a new SARS-CoV-2 variant of concern. As a result, Omicron may escape from the immune system, decreasing the protection provided by COVID-19 vaccines. Preliminary data shows a weaker neutralizing antibody response to Omicron compared to the ancestral SARS-CoV-2 virus, which can be increased after a booster vaccine. Here, we report that CD8+ T cells can recognize Omicron variant epitopes presented by HLA-A*02:01 in both COVID-19 recovered and vaccinated individuals, even 6 months after infection or vaccination. Additionally, the T cell response was stronger for Omicron variant epitopes after the vaccine booster. Altogether, T cells can recognize Omicron variants, especially in vaccinated individuals after the vaccine booster. One-Sentence SummaryCD8+ T cells response against Omicron variant epitopes is stronger after the vaccine booster.

immunology↗

Detecting change in interconnected ecosystem assets to inform indicators of condition in environmental economic accounts

There is an increasing need for long-term monitoring of ecosystems and their services to inform on-ground management and policy direction. The supply of many ecosystem services relies on connections that span multiple ecosystems. Monitoring the underlying condition of interconnected ecosystems, using established indicators, is therefore required to track effectiveness of past interventions and, ideally, identify impending change. Here we conduct performance testing of ecological indicators for a catchment-to-coast system with the aim of identifying the time-scales over which they respond to change. We chose a case-study of a coastal fishery in Northern Australia that exhibits strong catchment-to-coast connectivity, has long-term available data and is under threat from water resource development. We developed a novel approach to performance testing. Our model drew on state-space modelling to capture ecological dynamics, and structural equation modelling to capture covariation in indictors timeseries. We first quantified covariation among three established ecological indicators: pasture biomass, vegetation greenness and barramundi catch per unit effort. Covariation in the indicators was driven by river flow, with higher values of all indicators occurring in years with greater river flow. We then defined reference bounds for each indicator that accounted for natural variation in river flow. We predicted the emergence times for each indicator, as the time taken for each indicator to emerge from the background of natural variation. Emergence times quantified at 80% and higher confidence levels were >10 years in all cases. Past trends and current status of ecosystem service flows are often used by decision makers to directly inform near-term actions, particularly provisioning services (such as barramundi catch) due to their important contribution to regional economies. We found that the ecological indicators should be used to assess historical performance over decadal timespans, but not as short-term indicators of recent change. More generally, we offer an approach to performance testing of indicators. This approach could be useful for quantifying time-scales of ecosystem response in other systems where cross-ecosystem connections are important.

ecology↗