2) This study revealed the genetic adaptation of avian influenza A(H7N9) virus during human infections through deep sequencing of virus samples from infected patients and their surrounding poultry/environment.
It It addressed the key role of the gene PB2 also present in H5N1.
3) It found differing patterns of substitutions at the PB2-627 position between patient and poultry/environment samples, indicating dynamic host adaptation ("genetic tuning") of H7N9 occurring in humans during infection.
4) Patient samples showed mixed ratios of mammalian (Lys) and avian (Glu) signatures at PB2-627, while poultry/environment samples were dominated by the avian signature.
Longitudinal samples from one patient demonstrated gradual replacement of avian Glu by mammalian Lys ...
5) ... at PB2-627 over the course of infection.
Rapid adaptation of PB2-627 Lys in deceased patients correlated with disease severity and outcome, suggesting a link between viral pathogenesis and host adaptation.
6) A dominant PB2-627 Val emergence in viruses from seven patients in Shenzhen also correlated with disease severity indicators.
PB2-701 substitutions differed between human/poultry, with avian Asp dominant in all specimens and no dominant emergence of mammalian Asn.
7) The findings demonstrate dynamic in vivo genetic tuning of H7N9 during human infection and its association with viral pathogenesis.
This dynamic adaptation process may impact influenza virus evolution and virulence.
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2) A case in China involved a female farmer who became severely ill after exposure to sick poultry. Genetic analysis found she was infected with a clade 2.3.4.4b H5N1 strain. Interestingly, prior SARS-CoV-2 infection may have increased her susceptibility.
3) Clinical tests confirmed dual infection with H5N1 and persisting SARS-CoV-2. Epidemiological data implicated direct poultry contact as the source. Close contacts did not become ill, suggesting limited human-to-human transmission so far.
2) This study examined the evolution of SARS-CoV-2 in 8 patients with persistent infections lasting over 17 days. Whole genome sequencing was performed on respiratory samples collected at various times from each patient.
3) The results show rapid intra-host evolution occurred, with lineages forming based on each individual patient. One unvaccinated patient in particular showed a longer phylogenetic branch length compared to other isolates over their 56-day infection period ...
2) The study investigated the effects of microplastics (MPs) on the host response to SARS-CoV-2 infection in a mouse model. MPs were found to dysregulate innate inflammatory responses to the virus.
3) At 2 days post-infection, MPs suppressed proinflammatory signatures like phagocytosis and interferon responses. This likely reduced macrophage and dendritic cell activation early in infection.
2) This study used precision-cut lung slices (PCLS) from human donors aged 36-81 years as an ex vivo model to investigate the impact of aging on infection with influenza A virus (IAV) and SARS-CoV-2.
PCLS maintained the native structure and cellular composition of lung tissue
3) ... and those from older donors expressed higher levels of senescence markers.
Pandemic H1N1 and avian H5N1 IAV strains productively replicated in PCLS, reaching high titers, while SARS-CoV-2 replication was much lower.
2) This study of 102 COVID-19 patients analyzed associations between lipid profiles, severity and mortality. Patients were classified by severity (non-critical vs critical) and survival outcomes. Older age and hypertension correlated with worse severity and survival.
3) Triglyceride levels significantly differed between outcome groups, with higher levels linked to increased mortality risk. Lipid profiles moderately predicted outcomes per AUC-ROC analysis. Optimal cut-offs determined dichotomization for logistic regression; ...
2) A large mouse plague impacted eastern Australia from 2020-2021 following years of drought and heavy rainfall. It caused extensive damage to crops, infrastructure, and the environment costing over $1B.
3) Increased mouse densities led to rises in zoonotic diseases like leptospirosis and rare infections. Stress levels were high for those battling the plague amid challenges of cleaning, baiting, crop/property damage.