Online social networks are increasingly used by the population on a daily basis. They are considered a powerful tool for science communication and their potential as educational tools is emerging. However, their usefulness in academic practice is still a matter of debate. Here, we present the results of our pioneering experience teaching a full Basic Microbiology course via Twitter (#microMOOCSEM), consisting of 28 lessons of 40-45 minutes duration each, at a tweet per minute rate during 10 weeks. Lessons were prepared by 30 different lecturers, covering most basic areas in Microbiology and some monographic topics of general interest (malaria, HIV, tuberculosis, etc.). Data analysis on the impact and acceptance of the course were largely affirmative, promoting a 330% enhancement in the followers and a >350-fold increase of the number of visits per month to the Twitter account of the host institution, the Spanish Society for Microbiology. Almost one third of the course followers were located overseas. Our study indicates that Massive Online Open Courses (MOOC) via Twitter are highly dynamic, interactive, and accessible to great audiences, providing a valuable tool for social learning and communicating science. This strategy attracts the interest of students towards particular topics in the field, efficiently complementing customary academic activities, especially in multidisciplinary areas like Microbiology.
This research was aimed to analyze the language change in Indonesian language. The analysis was focused on the Indonesian adjectives change found in social media (Instagram). This research was conducted by using qualitative method. The data of this study were the most common thirty adjectives found in social media especially Instagram. as the data source because most of young generations nowadays tend to use Instagram as a mean of communication. The researcher observed and chose the most common thirty adjectives found on Instagram by using an observation list. There were some techniques of data analysis performed, namely: determining, observing, choosing, translating, analyzing, and drawing conclusion. Based on the data analysis conducted, it was found that all the adjectives are changing into special terms which are totally different form the original words. Furthermore, language change is caused by the globalization and the interaction of people. It was also found that some of the words are changing into English. Abbreviation and contractions also occur in the process of language change.
Background Crohn’s Disease (CD) is a subtype of IBD characterized by a chronic transmural inflammation of the gastrointestinal tract associated with several complications being intestinal fibrosis the most frequent. CD patients present microbiota dysbiosis and altered metabolomic profiles. GPCRs constitute a family of receptors which could be involved in inflammatory and fibrotic processes associated to CD. We aim to characterize microbiota composition, tissue metabolomic profile and metabolite-sensing GPCRs expression in ileal resections from fibrotic CD patients. Methods Ileal resections from B2-CD (n=21) and non-IBD (n=13) patients were obtained. Microbiota characterization was performed by 16S rRNA gene Illumina Miseq sequencing. Bioinformatic analysis of sequencing data was performed using constrained correspondence analysis and non-parametric Wilcoxon test to compare species proportions. Bacterial load was estimated by qPCR. Metabolomic analysis was performed by NMR. Results are expressed as μg metabolite/g tissue. Murine intestinal fibrosis was induced in C67BL/6 mice by: a) the heterotopic intestinal transplant model and b) chronic administration of 4 cycles of increasing DSS percentages. Gene expression of GPCRs was analyzed by qPCR. Data were expressed as fold induction vs control (mean±SEM) and compared by a t-test. Correlations were analyzed with the Spearman coefficient. Results First, microbiota analysis revealed a reduction in bacterial diversity and load in fibrotic CD patients. Then, in B2-CD samples we found at genus level Enterococcus genera significantly decreased and at species level Ruminococcus bromii and Faecalibacterium prausnitzii also reduced compared to controls. From the metabolomic analysis, altered levels of metabolites were found in ileal resections from fibrotic CD patients as summarized in Table 1. Next, B2-CD patients exhibited differential expression of metabolite-sensing GPCRs vs non-IBD as shown in Table 2. Moreover, gene expression of fibrotic markers was analyzed in B2-CD patients and significantly increased levels of COL1A1 (13.22±4.38), COL3A1 (1.84±0.52), and COL4A1(7.75±2.19), were found vs controls. Of interest, GPR81, GPR84, GPR4 and GPR68 positively correlated with profibrotic markers, specifically with COL1A1 and COL4A1. Finally, in line with human results, we also analyzed the expression of metabolite-sensing GPCRs in two different murine colitis models and results obtained are represented in Table 3. Conclusion Fibrotic CD patients exhibit microbial dysbiosis, joined with altered levels of metabolites and gene expression of metabolite-sensing GPCRs, which are also affected in murine colitis models. Their correlation with profibrotic markers points them as protagonists of intestinal fibrosis.
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