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Tamming, L.

Publications and source records attributed to Tamming, L..

2 recordsLinked to original sources

Durability of DNA-LNP and mRNA-LNP Vaccine-Induced Immunity Against SARS-CoV-2 XBB.1.5

mRNA-lipid nanoparticle (LNP) vaccines induce robust adaptive immune responses and have proven highly effective against SARS-CoV-2. However, their long-term effectiveness is limited by waning humoral responses, which decline substantially within the first six months post-boost vaccination. DNA-LNPs are being investigated as an alternative vaccine platform, offering prolonged antigen expression and robust immunity. Here, we present the first comparison of SARS-CoV-2 DNA- and mRNA-LNP vaccines in a long-term in vivo challenge model. Both nucleic acid platforms induced strong neutralizing antibody responses and conferred equivalent protection in Syrian hamsters challenged three weeks post-boost. Notably, DNA-LNP vaccination maintained high binding and neutralizing antibody titers six months post-boost, whereas mRNA-LNPs exhibited a marked decline. Correspondingly, while DNA-LNPs completely protected from weight loss, viral replication, and lung pathology at this late timepoint, mRNA-LNP vaccination conferred minimal protection. These findings demonstrate that DNA-LNPs can sustain durable immunity, highlighting their potential as a next-generation vaccine platform that could reduce the need for frequent boosters.

immunology↗

Metaproteomics reveals age-specific alterations of gut microbiome in hamsters with SARS-CoV-2 infection

The gut microbiomes pivotal role in health and disease is well-established. SARS-CoV-2 infection often causes gastrointestinal symptoms and is associated with changes of the microbiome in both human and animal studies. While hamsters serve as important animal models for coronavirus research, there exists a notable void in the functional characterization of their microbiomes with metaproteomics. In this study, we present a workflow for analyzing the hamster gut microbiome, including a metagenomics-derived hamster gut microbial protein database and a data-independent acquisition metaproteomics method. Using this workflow, we identified 32419 protein groups from the fecal microbiomes of young and old hamsters infected with SARS-CoV-2. We showed age-specific changes in the expressions of microbiome functions and host proteins associated with microbiomes, providing further functional insight into the dysbiosis and aberrant cross-talks between the microbiome and host in SARS-CoV-2 infection. Altogether this study established and demonstrated the capability of metaproteomics for the study of hamster microbiomes.

microbiology↗