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The Lancet Respiratory Medicine: Current guidelines not clear on which children most at risk of severe flu complications

A systematic review found that premature birth, neurological disorders, and multiple medical conditions significantly increase the risk of hospitalization in children with influenza. The study highlights the need for clearer guidelines on which children should be prioritized for seasonal flu vaccination.

SourceThe Lancet·JournalThe Lancet Respiratory Medicine·DateDec 3, 2014

On the throne with the flu

Researchers discovered flu infection prompts immune cells to migrate to gut, altering bacterial composition and causing inflammation that promotes tissue injury. Blocking inflammatory molecules or antibiotics attenuates intestinal injury, suggesting relief options for flu-induced gastrointestinal symptoms.

SourceRockefeller University Press·JournalJournal of Experimental Medicine·DateNov 3, 2014

Flu viruses disguised as waste

Researchers discovered flu virus exploits aggresome, a cellular waste bundle, to release genetic material. The process takes 20-30 minutes and is gradual, with the virus tricking the waste pickup and disposal system.

SourceETH Zurich·JournalScience·DateOct 23, 2014

Flu vaccine may hold key to preventing heart disease

A new study reveals how flu vaccines prevent heart attacks by stimulating the immune system to produce antibodies that protect the heart. The research identifies a protein called BKB2R as the key mechanism behind this protective effect, and suggests it could be harnessed to develop a vaccine against heart disease.

SourceElsevier·JournalVaccine·DateOct 21, 2014

Vanderbilt-led study shows high-dose flu vaccine more effective in elderly

A Vanderbilt-led study published in the New England Journal of Medicine found that the high-dose flu vaccine is 24% more effective than the standard-dose vaccine in protecting persons ages 65 and over against influenza illness. The study, which enrolled 31,989 participants, showed that the high-dose trivalent vaccine induces significan...

SourceVanderbilt University Medical Center·JournalNew England Journal of Medicine·DateAug 13, 2014

When big isn't better: How the flu bug bit Google

A study by University of Houston researchers found that Google Flu Trend overestimated flu cases in the US by up to 50% and failed to accurately predict levels in previous seasons. The researchers suggest combining big data with traditional methodologies for a more accurate understanding of human behavior.

SourceUniversity of Houston·JournalScience·DateMar 13, 2014

Researchers discover immune signature that predicts poor outcome in influenza patients

A study by St. Jude Children's Research Hospital identified an immune signature that predicts poor flu outcomes in patients, who are more likely to develop severe symptoms and suffer from complications. The findings also explain why infants and toddlers are at elevated risk for flu-related issues.

SourceSt. Jude Children's Research Hospital·JournalAmerican Journal of Respiratory and Critical Care Medicine·DateFeb 10, 2014

The rocky road to a better flu vaccine

Researchers found that a new adjuvant improved flu vaccine effectiveness in mice and showed promise for the elderly. The study also highlighted the importance of characterizing immune responses following intra-nasal vaccinations, particularly with novel adjuvants.

SourcePLOS·JournalPLOS Pathogens·DateJan 23, 2014

Health insurance increases preventive care but not risky behaviors

Researchers at UC Davis and University of Rochester found that having health insurance increases use of preventive services like flu shots and health screenings, but does not affect risky health behaviors. The study contradicts a common concern that expanding healthcare coverage may encourage riskier behavior.

SourceUniversity of California - Davis Health·JournalThe Journal of the American Board of Family Medicine·DateNov 26, 2013

Hashtag health

A social media program by San Diego State University professor Ming-Hsiang Tsou analyzed tweets for keywords 'flu' and 'influenza' to identify outbreaks. The algorithm detected daily correlations between tweet patterns and regional reports, with five cities showing the strongest correlations.

SourceSan Diego State University·JournalJournal of Medical Internet Research·DateNov 19, 2013