Respiratory infections with newly emerging zoonotic viruses such as SARS-CoV-2, the etiological agent of COVID-19, often lead to the perturbation of the human innate and adaptive immune responses causing severe disease with high mortality. The responsible mechanisms are commonly virus-specific and often include either over-activated or delayed local interferon responses, which facilitate efficient viral replication in the primary target organ, systemic viral spread, and rapid onset of organ-specific and harmful inflammatory responses. Despite the distinct replication strategies, human infections with SARS-CoV-2 and highly pathogenic avian influenza viruses demonstrate remarkable similarities and differences regarding the mechanisms of immune induction, disease dynamics, as well as the long-term sequelae, which will be discussed in this review. In addition, we will highlight some important lessons about the effectiveness of antiviral and immunomodulatory therapeutic strategies that this pandemic has taught us.

Highly pathogenic avian influenza A viruses (HPAIV) pose a significant threat to both animal and human health. These viruses have the potential to cause severe respiratory and systemic infections in birds and several mammalian species. The recent global outbreak of the H5N1 clade 2.3.4.4b spread in wild and domestic birds is now considered to be a panzoonosis. Spillover events in dairy cattle farms in the U.S. have highlighted the urgent need for effective antiviral therapies, especially in view of human infections. This study investigates the selective MEK1/2 inhibitor zapnometinib (ZMN) as a potential antiviral agent against HPAIVs. Our in vitro experiments demonstrate that ZMN significantly impairs viral replication across multiple HPAIV strains, including H5N1 clade 2.3.4.4b in cell lines and primary bronchial epithelial cells. The mechanism of action is based on the nuclear retention of newly produced viral ribonucleoprotein complexes (vRNP), when the MEK/ERK/RSK1 kinase cascade is inhibited. We furthermore could show, that ZMN not only acts antiviral in a standalone treatment but has synergistic potential when used in combination with direct-acting antivirals like oseltamivir or baloxavir. Therefore, ZMN treatment offers a promising strategy for future antiviral development.

The 2017/18 influenza season was characterized by unusual high numbers of severe infections and hospitalizations. Instead of influenza A viruses, this season was dominated by infections with influenza B viruses of the Yamagata lineage. While this IBV/Yam dominance was associated with a vaccine mismatch, a contribution of virus intrinsic features to the clinical severity of the infections was speculated. Here, we performed a molecular and phenotypic characterization of three IBV isolates from patients with severe flu symptoms in 2018 and compared it to an IBV/Yam isolate from 2016 using experimental models of increasing complexity, including human lung explants, lung organoids, and alveolar macrophages. Viral genome sequencing revealed the presence of clade but also isolate specific mutations in all viral genes, except NP, M1, and NEP. Comparative replication kinetics in different cell lines provided further evidence for improved replication fitness, tolerance towards higher temperatures, and the development of immune evasion mechanisms by the 2018 IBV isolates. Most importantly, immunohistochemistry of infected human lung explants revealed an impressively altered cell tropism, extending from AT2 to AT1 cells and macrophages. Finally, transcriptomics of infected human lung explants demonstrated significantly reduced amounts of type I and type III IFNs by the 2018 IBV isolate, supporting the existence of additional immune evasion mechanisms. Our results show that the severeness of the 2017/18 Flu season was not only the result of a vaccine mismatch but was also facilitated by improved adaptation of the circulating IBV strains to the environment of the human lower respiratory tract.

Accurate normalization with stable reference genes is critical for reliable quantitative PCR (qPCR). Reference gene stability differs by tissue, stage, and condition and inappropriate selection may bias results. In bovine ovarian tissues, commonly used genes such as ACTB and GAPDH have shown instability, emphasizing the need for alternative candidates. This study evaluated the stability of four reference genes (PPIA, HSP90AB1, RPL37A, RPS17) across bovine ovary regions (cortex, medulla, corpus luteum). Ovarian tissues were collected post-mortem from six healthy cows, and RNA isolation and cDNA synthesis were performed. Stability was assessed with geNorm, NormFinder, and BestKeeper, both tissue-specific and across the whole ovary. All primers showed high efficiency (90–110%) and R² >0.99. Results revealed tissue-specific variation: in the cortex, RPL37A or RPS17 was most stable; in the medulla, RPL37A and RPS17 were consistent across algorithms; in the corpus luteum, RPL37A and PPIA were stable. Across all tissues, RPL37A + PPIA provided the most reliable normalization, with RPL37A overall the most stable. In contrast, HSP90AB1 was unstable and unsuitable. However, the small sample size is a limitation of this study. These findings indicate that ribosomal genes (RPL37A, RPS17) are more stable than PPIA in bovine ovarian tissues, providing methodological guidance for accurate gene expression studies and contributing valuable insights to reproductive biology research, particularly under physiological conditions.