Biology subjects

Angelopoulos, N.

Publications and source records attributed to Angelopoulos, N..

4 recordsLinked to original sources

bioRxiv2024

Pathogenesis and immune response to respiratory coronaviruses in their natural porcine host

Porcine respiratory coronavirus (PRCV) is a naturally occurring pneumotropic coronavirus in the pig, providing a valuable large animal model to study acute respiratory disease. PRCV pathogenesis and the resulting immune response was investigated in pigs, the natural large animal host. We compared two strains, ISU-1 and 135, which induced differing levels of pathology in the respiratory tract to elucidate the mechanisms leading to mild or severe disease. The 135 strain induced greater pathology which was associated with higher viral load and stronger spike-specific antibody and T cell responses. In contrast, the ISU-1 strain triggered mild pathology with a more balanced immune response and greater abundance of T regulatory cells. A higher frequency of putative T follicular helper cells was observed in animals infected with strain 135 at 11 days post-infection. Single-cell RNA-sequencing of bronchoalveolar lavage revealed differential gene expression in B and T cells between animals infected with 135 and ISU-1 at 1 day post infection. These genes were associated with cell adhesion, migration, and immune regulation. Along with increased IL-6 and IL-12 production, these data suggest that heightened inflammatory responses to the 135 strain may contribute to pronounced pneumonia. Among BAL immune cell populations, B cells and plasma cells exhibited the most gene expression divergence between pigs infected with different PRCV strains, highlighting their potential role in maintaining immune homeostasis in the respiratory tract. These findings indicate the potential of the PRCV model for studying coronavirus induced respiratory disease and identifying mechanisms that determine infection outcomes. Author summaryUnderstanding how our immune system reacts to respiratory viruses, like SARS-CoV-2, is crucial to developing better treatments. While most COVID-19 infections are mild, some cases lead to severe lung damage, but we do not fully understand why. To study this, we used pigs, which respond more like humans compared to small animals, to explore how the immune system deals with respiratory coronaviruses. We tested two porcine respiratory coronavirus strains that caused different levels of lung damage. The more severe strain triggered a strong immune response and high inflammation, leading to lung pathology similar to that seen in severe COVID-19 cases. By contrast, the milder strain caused a balanced immune response, including more regulatory T cells that help control inflammation. We also found changes in genes related to antibody-producing cells, which may be important for controlling respiratory pathology. Interestingly, changes in immune responses and gene expression lasted long after the virus was cleared, potentially making individuals more vulnerable to future infections - similar to the "long COVID" symptoms seen in people. We propose that this pig model could help us study coronavirus-induced lung damage and test new therapies to prevent severe disease.

immunology↗

bioRxiv2023

Single-cell analysis reveals lasting immunological consequences of influenza infection and respiratory immunisation in the pig lung

The pig is a natural host for influenza viruses and integrally involved in virus evolution through interspecies transmissions between humans and swine. Swine have many physiological, anatomical, and immunological similarities to humans, and are an excellent model for human influenza. Here, we employed single RNA-sequencing (scRNA-seq) and flow cytometry to characterize the major leucocyte subsets in bronchoalveolar lavage (BAL), twenty-one days after H1N1pdm09 infection or respiratory immunization with an adenoviral vector vaccine expressing haemagglutinin and nucleoprotein with or without IL-1{beta}. Mapping scRNA-seq clusters from BAL onto those previously described in peripheral blood facilitated annotation and highlighted differences between tissue resident and circulating immune cells. ScRNA-seq data and functional assays revealed lasting impacts of immune challenge on BAL populations. First, mucosal administration of IL-1{beta} reduced the number of functionally active Treg. Second, influenza infection upregulated IFI6 in BAL cells, decreasing their susceptibility to virus replication in vitro. Our data provides a reference map of porcine BAL cells and reveals lasting immunological consequences of influenza infection and respiratory immunisation in a highly relevant large animal model for respiratory virus infection. Author SummaryPigs and humans have a similar anatomy and physiology. In humans, cells from lung-washes are used to study immune responses and it was shown that these cells are crucial in protection against respiratory diseases such as influenza and COVID-19. To better understand lung immunity, we compared genes expressed in cells of pig lung-wash to white blood cells, providing an atlas for future studies of immunity in the lung. We also tested a vaccine given to the lung containing IL-1{beta}, a strong immune activator that protects mice against influenza virus infection. However, although IL-1{beta} increased pig immune responses it did not protect pigs against infection. We also showed that the number of immune cells that dampen immune responses (regulatory T cells) is reduced. In addition, we demonstrated increased expression of a protein, IFI6, 21 days after infection showing that while immune cells in the lung have common properties, the invading organisms influence them significantly. Our study elucidates why some vaccines fail despite inducing powerful immune responses, emphasizes the need for caution when applying results from small animals like mice to humans, and indicates the importance of the pig as a model to study disease in humans and livestock.

immunology↗

bioRxiv2019

Revealing the impact of recurrent and rare structural variants in multiple myeloma

The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive classification and analysis of SVs in multiple myeloma, interrogating a large cohort of 762 patients with whole genome and RNA sequencing. We identified 100 SV hotspots involving 31 new candidate driver genes, including drug targets BCMA (TNFRSF17) and SLAMF7. Complex SVs, including chromothripsis and templated insertions, were present in 61 % of patients and frequently resulted in the simultaneous acquisition of multiple drivers. After accounting for all recurrent events, 63 % of SVs remained unexplained. Intriguingly, these rare SVs were associated with up to 7-fold enrichment for outlier gene expression, indicating that many rare driver SVs remain unrecognized and are likely important in the biology of individual tumors.

genomics↗

bioRxiv2018

Genomic landscape and chronological reconstruction of driver events in multiple myeloma

Multiple myeloma (MM) has a heterogeneous genome, evolving through both pre-clinical and post-diagnosis phases. Here, using sequences from 67 MM genomes serially collected from 30 patients together with public datasets, we establish a hierarchy of driver lesions. Point mutations, structural variants and copy number aberrations define at least 7 genomic subgroups of MM, each with distinct sets of co-operating driver mutations. Complex structural events are major drivers of MM, including chromothripsis, chromoplexy and a replication-based mechanism of templated insertions: these typically occur early. Hyperdiploidy also occurs early, with individual chromosomes often gained in more than one chronological epoch of MM evolution, showing a preferred order of acquisition. Positively selected point mutations frequently occur in later phases of disease development, as do structural variants involving MYC. Thus, initiating driver events of MM, drawn from a limited repertoire of structural and numerical chromosomal changes, shape preferred trajectories of subsequent evolution.

cancer biology↗