Background: Peanut and tree nut allergies are the most important causes of anaphylaxis. Co-reactivity to more than one nut is frequent, and co-sensitization in the absence of clinical data is often obtained. Confirmatory oral food challenges (OFCs) are inconsistently performed.Objective: To investigate the utility of the basophil activation test (BAT) in diagnosing peanut and tree nut allergies. Methods:The Markers Of Nut Allergy Study (MONAS) prospectively enrolled patients aged 0.5-17 years with confirmed peanut and/or tree nut (almond, cashew, hazelnut, pistachio, walnut) allergy or sensitization from Canadian (n = 150) and Austrian (n = 50) tertiary pediatric centers. BAT using %CD63 + basophils (SSClow/CCR3pos) as outcome was performed with whole blood samples stimulated with allergen extracts of each nut (0.001-1000 ng/mL protein). BAT results were assessed against confirmed | 1801 DUAN et Al.
The synthesis and secretion of proglucagon-derived peptides are regulated in a tissue-specific manner in pancreas, intestine, and brain. We have examined the plasma and tissue levels of these peptides during the first 3 weeks of streptozotocin (STZ)-induced diabetes in the rat. Plasma glucose levels were markedly elevated (P less than 0.0001) within 24 h of STZ administration. The plasma levels of glucagon-like immunoreactive (GLI) peptides were significantly elevated on days 8-22 of diabetes (P less than 0.05-0.001). Ileal GLI peptide concentrations rose in parallel with the plasma levels (r = 0.39; P less than 0.006) to 250% of control levels (P less than 0.001); however, pancreatic GLI peptide content increased only transiently on day 1 (P less than 0.05). No significant differences in the posttranslational processing of proglucagon in normal or diabetic rats could be detected. The increment in ileal GLI peptide content was not associated with increases in intestinal proglucagon mRNA transcripts. In contrast, pancreatic, but not intestinal, somatostatin mRNA levels were increased on day 22 of diabetes. Diabetic rats were found to have small but significant changes in GLI and immunoreactive glucagon peptide content of the hypothalamus and medulla oblongata (P less than 0.05). These observations suggest that STZ-induced diabetes may produce tissue-specific perturbations in the biosynthesis and secretion of the proglucagon-derived peptides.
BACKGROUND: Twitter is a web-based social media platform that allows instantaneous sharing of user-generated messages (tweets). We performed an infodemiology study of the coronavirus disease 2019 (COVID-19) Twitter conversation related to anesthesiology to describe how Twitter has been used during the pandemic and ways to optimize Twitter use by anesthesiologists. METHODS: This was a cross-sectional study of tweets related to the specialty of anesthesiology and COVID-19 tweeted between January 21 and October 13, 2020. A publicly available COVID-19 Twitter dataset was filtered for tweets meeting inclusion criteria (tweets including anesthesiology keywords). Using descriptive statistics, tweets were reviewed for tweet and account characteristics. Tweets were filtered for specific topics of interest likely to be impactful or informative to anesthesiologists of COVID-19 practice (airway management, personal protective equipment, ventilators, COVID testing, and pain management). Tweet activity was also summarized descriptively to show temporal profiles over the pandemic. RESULTS: Between January 21 and October 13, 2020, 23,270 of 241,732,881 tweets (0.01%) met inclusion criteria and were generated by 15,770 accounts. The majority (51.9%) of accounts were from the United States. Seven hundred forty-nine (4.8%) of all users self-reported as anesthesiologists. 33.8% of all tweets included at least one word or phrase preceded by the # symbol (hashtag), which functions as a label to search for all tweets including a specific hashtag, with the most frequently used being #anesthesia. About half (52.2%) of all tweets included at least one hyperlink, most frequently linked to other social media, news organizations, medical organizations, or scientific publications. The majority of tweets (67%) were not retweeted. COVID-19 anesthesia tweet activity started before the pandemic was declared. The trend of daily tweet activity was similar to, and preceded, the US daily death count by about 2 weeks. CONCLUSIONS: The toll of the pandemic has been reflected in the anesthesiology conversation on Twitter, representing 0.01% of all COVID-19 tweets. Daily tweet activity showed how the Twitter community used the platform to learn about important topics impacting anesthesiology practice during a global pandemic. Twitter is a relevant platform through which to communicate about anesthesiology topics, but further research is required to delineate its effectiveness, benefits, and limitations for anesthesiology discussions.
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