Muehling, L. | bioRxiv Science

bioRxiv2024

Distinct Type 1 Immune Networks Underlie the Severity of Restrictive Lung Disease after COVID-19

The variable etiology of persistent breathlessness after COVID-19 have confounded efforts to decipher the immunopathology of lung sequelae. Here, we analyzed hundreds of cellular and molecular features in the context of discrete pulmonary phenotypes to define the systemic immune landscape of post-COVID lung disease. Cluster analysis of lung physiology measures highlighted two phenotypes of restrictive lung disease that differed by their impaired diffusion and severity of fibrosis. Machine learning revealed marked CCR5+CD95+ CD8+ T-cell perturbations in mild-to-moderate lung disease, but attenuated T-cell responses hallmarked by elevated CXCL13 in more severe disease. Distinct sets of cells, mediators, and autoantibodies distinguished each restrictive phenotype, and differed from those of patients without significant lung involvement. These differences were reflected in divergent T-cell-based type 1 networks according to severity of lung disease. Our findings, which provide an immunological basis for active lung injury versus advanced disease after COVID-19, might offer new targets for treatment.

immunology↗

bioRxiv2021

A shuttle-vector system allows heterologous gene expression in the thermophilic methanogen Methanothermobacter thermautotrophicus ΔH

Thermophilic Methanothermobacter spp. are used as model microbes to study the physiology and biochemistry of the conversion of hydrogen and carbon dioxide into methane (i.e., hydrogenotrophic methanogenesis), because of their short doubling times and robust growth with high growth yields. Yet, a genetic system for these model microbes was missing despite intense work for four decades. Here, we report the establishment of tools for genetic modification of M. thermautotrophicus. We developed the modular Methanothermobacter vector system, which provided shuttle-vector plasmids (pMVS) with exchangeable selectable markers and replicons for both Escherichia coli and M. thermautotrophicus. For M. thermautotrophicus, a thermostable neomycin-resistance cassette served as the selectable marker for positive selection with neomycin, and the cryptic plasmid pME2001 from Methanothermobacter marburgensis served as the replicon. The pMVS-plasmid DNA was transferred from E. coli into M. thermautotrophicus via interdomain conjugation. After the successful validation of DNA transfer and positive selection in M. thermautotrophicus, we demonstrated heterologous gene expression of a thermostable {beta}-galactosidase-encoding gene (bgaB) from Geobacillus stearothermophilus under the expression control of four distinct synthetic and native promoters. In quantitative in-vitro enzyme activity assays, we found significantly different {beta}-galactosidase activity with these distinct promoters. With a formate dehydrogenase operon-encoding shuttle vector, we allowed growth of M. thermautotrophicus on formate as the sole growth substrate, while this was not possible for the empty vector control. These genetic tools provide the basis to investigate hypotheses from four decades of research on the physiology and biochemistry of Methanothermobacter spp. on a genetic level. Significance StatementThe world economies are facing permanently increasing energy demands. At the same time, carbon emissions from fossil sources need to be circumvented to minimize harmful effects from climate change. The power-to-gas platform is utilized to store renewable electric power and decarbonize the natural gas grid. The microbe Methanothermobacter thermautotrophicus is already applied as the industrial biocatalyst for the biological methanation step in large-scale power-to-gas processes. To improve the biocatalyst in a targeted fashion, genetic engineering is required. With our shuttle-vector system for heterologous gene expression in M. thermautotrophicus, we set the cornerstone to engineer the microbe for optimized methane production, but also for production of high-value platform chemicals in power-to-x processes.

microbiology↗