Lipid nanoparticle siRNA treatment of Ebola-virus-Makona-infected nonhuman primates.

The current outbreak of Ebola virus in West Africa is unprecedented, causing more cases and fatalities than all previous outbreaks combined, and has yet to be controlled. Several post-exposure interventions have been employed under compassionate use to treat patients repatriated to Europe and the United States. However, the in vivo efficacy of these interventions against the new outbreak strain of Ebola virus is unknown. Here we show that lipid-nanoparticle-encapsulated short interfering RNAs (siRNAs) rapidly adapted to target the Makona outbreak strain of Ebola virus are able to protect 100% of rhesus monkeys against lethal challenge when treatment was initiated at 3 days after exposure while animals were viraemic and clinically ill. Although all infected animals showed evidence of advanced disease including abnormal haematology, blood chemistry and coagulopathy, siRNA-treated animals had milder clinical features and fully recovered, while the untreated control animals succumbed to the disease. These results represent the first, to our knowledge, successful demonstration of therapeutic anti-Ebola virus efficacy against the new outbreak strain in nonhuman primates and highlight the rapid development of lipid-nanoparticle-delivered siRNA as a countermeasure against this highly lethal human disease.

Social Media and the Dissemination of Research: Insights from the Most Widely Circulated Articles in Plastic Surgery.

BACKGROUND: The purpose of this study is to quantify the relationship between social media use and the dissemination of research across nontraditional channels. METHODS: Between June and August of 2016, the authors identified 10 plastic surgery journals with the highest impact factor and their 10 most widely circulated articles. Article age; journal impact factor; "distinguished" article designation; and social media metadata of the first authors, last authors, and journals were incorporated into a multivariate regression model to predict the Altmetric Attention Score, a quantitative measure of popularity across Web-based media platforms. RESULTS: A total of 100 articles, 181 authors, and 10 journals were identified. Older articles tended to be less popular. The article's popularity was associated with the journal's audience size, but not with the author's social media activity. For each 1000 additional Twitter followers of the journal of publication, the Altmetric score is greater by a factor of 1.72 (95 percent CI, 1.076 to 2.749), which is the equivalent of 72 percent more Tweets. There is also a small but statistically significant negative association between the author's social media audience size and the popularity of his or her articles: for every 1000 additional followers, the Altmetric score is lower by a factor of 0.822 (95 percent CI, 0.725 to 0.932), which is the equivalent of 17.8 percent fewer Tweets. CONCLUSION: The popularity of an article across social media platforms is associated with the journal's audience on social media, not with the magnitude of the author's social media activity.