Stalking influenza by vaccination with pre-fusion headless HA mini-stem

Inaccuracies in prediction of circulating viral strain genotypes and the possibility of novel reassortants causing a pandemic outbreak necessitate the development of an anti-influenza vaccine with increased breadth of protection and potential for rapid production and deployment. The hemagglutinin (HA) stem is a promising target for universal influenza vaccine as stem-specific antibodies have the potential to be broadly cross-reactive towards different HA subtypes. Here, we report the design of a bacterially expressed polypeptide that mimics a H5 HA stem by protein minimization to focus the antibody response towards the HA stem. The HA mini-stem folds as a trimer mimicking the HA prefusion conformation. It is resistant to thermal/chemical stress, and it binds to conformation-specific, HA stem-directed broadly neutralizing antibodies with high affinity. Mice vaccinated with the group 1 HA mini-stems are protected from morbidity and mortality against lethal challenge by both group 1 (H5 and H1) and group 2 (H3) influenza viruses, the first report of cross-group protection. Passive transfer of immune serum demonstrates the protection is mediated by stem-specific antibodies. Furthermore, antibodies indudced by these HA stems have broad HA reactivity, yet they do not have antibody-dependent enhancement activity.

Impacto da campanha de vacinação para influenza em uma empresa

A influenza é uma das doenças respiratórias agudas mais prevalentes e importante causa de absenteísmo e presenteísmo. Entretanto, a eficácia vacinal para influenza pode alcançar 80% quando há elevada correspondência entre cepas vacinais e circulantes. Por este motivo, a empresa há anos promove campanha de vacinação, contudo, sem estimar sua efetividade (eficácia na redução da carga da doença) e o impacto econômico (produtividade) para o aprimoramento de sua política de saúde ocupacional. Considerou-se que a efetividade da campanha seria determinada pela eficácia vacinal previamente demonstrada em estudos randomizados, pelo grau de acurácia diagnóstica ou de triagem dos casos, pelo nível de adesão do profissional de saúde ao registro no prontuário e do paciente ao informar a ocorrência dos sintomas e pela cobertura vacinal alcançada. Com os objetivos de avaliar a efetividade e impacto econômico da campanha de vacinação para influenza, optou-se por um desenho estudo observacional de coorte histórico com características de estudo de intervenção baseado em dados históricos da campanha de 2008 e informações individuais sobre a frequência de sintomas respiratórios e absenteísmo, idade, gênero, função (administrativa e operacional) e renda, comorbidades relevantes e tabagismo, obtidas mediante revisão de prontuário dos 12 meses subsequentes, comparadas entre os grupos de vacinados e não-vacinados (qui-quadrado e test t) e analisadas por regressão logística, e estimada a fração prevenível (proporção de episódios potenciais de influenza evitados pela vacinação). Foram analisados os prontuários de 2.425 trabalhadores (1.651 não-vacinados e 754 vacinados) correspondendo à cobertura de 31,1%. A prevalência de influenza observada foi de 10,4% e a vacinação foi efetiva entre os trabalhadores (RR=0,51; IC95% 39-67), quando considerados os sintomas de alta probabilidade de influenza. A fração prevenível foi 0,09 (9 casos evitados a cada 100 trabalhadores vacinados). A campanha de vacinação foi mais efetiva e provocou maior impacto econômico entre os trabalhadores em regime operacional.

Spatial-temporal excess mortality patterns of the 1918-1919 influenza pandemic in Spain

Background: The impact of socio-demographic factors and baseline health on the mortality burden of seasonal and pandemic influenza remains debated. Here we analyzed the spatial-temporal mortality patterns of the 1918 influenza pandemic in Spain, one of the countries of Europe that experienced the highest mortality burden. Methods: We analyzed monthly death rates from respiratory diseases and all-causes across 49 provinces of Spain, including the Canary and Balearic Islands, during the period January-1915 to June-1919. We estimated the influenza-related excess death rates and risk of death relative to baseline mortality by pandemic wave and province. We then explored the association between pandemic excess mortality rates and health and socio-demographic factors, which included population size and age structure, population density, infant mortality rates, baseline death rates, and urbanization. Results: Our analysis revealed high geographic heterogeneity in pandemic mortality impact. We identified 3 pandemic waves of varying timing and intensity covering the period from Jan-1918 to Jun-1919, with the highest pandemic-related excess mortality rates occurring during the months of October-November 1918 across all Spanish provinces. Cumulative excess mortality rates followed a south-north gradient after controlling for demographic factors, with the North experiencing highest excess mortality rates. A model that included latitude, population density, and the proportion of children living in provinces explained about 40% of the geographic variability in cumulative excess death rates during 1918-19, but different factors explained mortality variation in each wave. Conclusions: A substantial fraction of the variability in excess mortality rates across Spanish provinces remained unexplained, which suggests that other unidentified factors such as comorbidities, climate and background immunity may have affected the 1918-19 pandemic mortality rates. Further archeo-epidemiological research should concentrate on identifying settings with combined availability of local historical mortality records and information on the prevalence of underlying risk factors, or patient-level clinical data, to further clarify the drivers of 1918 pandemic influenza mortality.

Earthquakes, influenza and cycles of Indian kala-azar.

It is suggested that previous data indicate 3 major epidemics of kala-azar in Assam between 1875 and 1950, with inter-epidemic periods of 30-45 and 20 years. This deviates from the popular view of regular cycles with a 10-20 year period. A deterministic mathematical model of kala-azar is used to find the simplest explanation for the timing of the 3 epidemics, paying particular attention to the role of extrinsic (drugs, natural disasters, other infectious diseases) versus intrinsic (host and vector dynamics, birth and death rates, immunity) processes in provoking the second. We conclude that, whilst widespread influenza in 1918-1919 may have magnified the second epidemic, intrinsic population processes provide the simplest explanation for its timing and synchrony throughout Assam. The model also shows that the second inter-epidemic period is expected to be shorter than the first, even in the absence of extrinsic agents, and highlights the importance of a small fraction of patients becoming chronically infectious (with post kala-azar dermal leishmaniasis) after treatment during an epidemic.

Secondary structural analysis of the mRNA regions encoding the hemagglutinin cleavage site basic amino acids of the avian influenza virus H5N1 subtype samples

Here we report the codon bias and the mRNA secondary structural features of the hemagglutinin (HA) cleavage site basic amino acid regions of avian influenza virus H5N1 subtypes. We have developed a dynamic extended folding strategy to predict RNA secondar