Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets.

Introduction: The online misinformation might undermine the vaccination efforts. Therefore, given the fact that no study specifically analyzed online vaccine related content written in Romanian, the main objective of the study was to detect and evaluate tweets related to vaccines and written in Romanian language. Methods: 1,400 Romanian vaccine related tweets were manually classified in true, neutral and fake information and analyzed based on wordcloud representations, a correlation analysis between the three classes and specific tweet characteristics and the validation of several predictive machine learning algorithms. Results and discussion: The tweets annotated as misinformation showed specific word patterns and were liked and reshared more often as compared to the true and neutral ones. The validation of the machine learning algorithms yielded enhanced results in terms of Area Under the Receiver Operating Characteristic Curve Score (0.744-0.843) when evaluating the Support Vector Classifier. The predictive model estimates in a well calibrated manner the probability that a specific Twitter post is true, neutral or fake. The current study offers important insights regarding vaccine related online content written in an Eastern European language. Future studies must aim at building an online platform for rapid identification of vaccine misinformation and raising awareness for the general population.

Anti-inflammatory and antioxidant activities of the Impatiens noli-tangere and Stachys officinalis polyphenolic-rich extracts

ABSTRACT This study evaluated the anti-inflammatory and antioxidant activities of Impatiens noli-tangere L., Balsaminaceae, and of Stachys officinalis L., Lamiaceae, polyphenolic-rich extracts obtained by nanofiltration process. Results showed the great potential and efficiency of the nanofiltration process to concentrate the herbal extract's main polyphenolic compounds (over 91% phenolic acids and flavonoids retention). S. officinalis polyphenolic-rich extracts had high antioxidant activities (IC50 2.5 µg/ml) compared to I. noli-tangere polyphenolic-rich extracts (IC50 19.3 µg/ml) and similar with that of ascorbic acid. Polyphenolic-rich extracts were investigated to determine the pro-inflammatory enzymes lipoxygenase, cyclooxygenase-1 and cyclooxygenase-2 and their inhibitory activity. Furthermore, high inhibitory activity of the examined extracts was reported for the first time, for both lipoxygenase (IC50 2.46 and 1.22 µg/ml for I. noli-tangere and S. officinalis polyphenolic-rich extracts, respectively), cyclooxygenase-1 (IC50 18.4 and 10.1 µg/ml for I. noli-tangere and S. officinalis polyphenolic-rich extracts, respectively) and cyclooxygenase-2 (IC50 = 1.9 and 1.2 mg/ml for I. noli-tangere and S. officinalis polyphenolic-rich extracts, respectively). Additionally, the in vivo studies showed that S. officinalis polyphenolic-rich extract has a higher anti-inflammatory effect, the hind-paw volume employed for both models determined that I. noli-tangere polyphenolic-rich extract and is also higher than that of diclofenac. It was noticed that their anti-inflammatory effect persists for more than 24 h. The I. noli-tangere and S. officinalis polyphenolic-rich extracts exert anti-inflammatory and antioxidant activities and these properties can be at least partly assigned to the presence of ursolic acid, caffeic acid, rosmarinic acid, quercetin and also anthocyanidins (genistin). The obtained results indicate the anti-inflammatory potential of the studied herbal extracts.