Background: Associations of acute glycemic complications with season and ambient temperature have been reported in general population with diabetes. However, little is known about the risks of acute glycemic complications in relation to season and ambient temperature in pregnant women, who are likely to be even more vulnerable. This work aimed to investigate the associations of season and ambient temperature with pregnancies complicated with hyperglycemia emergency or severe hypoglycemia. Methods: Two separate case-control studies were nested within 150,153 pregnancies by women with type 1, type 2, or gestational diabetes between 2009 and 2014 in Taiwan. Hyperglycemia emergency (mainly diabetic ketoacidosis and hyperosmolar hyperglycemic state) and severe hypoglycemia occurred in 77 and 153 diabetic pregnancies (cases), respectively. Ten control pregnancies were randomly selected for each case by matching each case pregnancy on type of diabetes (i.e., T1DM, T2DM, or GDM), maternal age on the date of acute glycemic complication occurrence (i.e., index date), and "length of gestation at risk" (i.e., period between conception and index date). Meteorological parameters were retrieved from 542 meteorological monitoring stations across Taiwan during 2008-2014. Conditional logistic regression analysis with generalized estimation equation was separately performed to estimate the covariate adjusted odds ratios (ORs) of each of the two acute glycemic complications in association with season and ambient temperature within 30 days prior to the index date. Results: Compared to summer, winter season was associated with a significantly elevated risk of severe hypoglycemia with an OR of 1.74 (95% confidence interval (CI) 1.08-2.79). The OR of hyperglycemic emergency was also elevated in winter season at OR of 1.88, but the significance is only marginal (95% CI 0.97-3.64, p = 0.0598). Subgroup analyses further noted that such seasonal variation was also observed in pregnancies with pre-pregnancy type 1 diabetes and gestational diabetes. On the other hand, ambient temperature was not significantly associated with the two acute glycemic complications. Conclusions: A moderately but significantly elevated risk of severe hypoglycemia was found in pregnant women with diabetes during winter season, and such increased risk was more evident in pregnancies with T1DM.
Areca nut (AN) is a popular chewing carcinogen worldwide causing a variety of diseases such as oral and esophageal carcinomas. We previously found that the partially purified 30-100 kDa fraction of AN extract (ANE 30-100K) induces autophagy in oral carcinoma OECM-1 cells and some other different types of cells. Since autophagy is known to play important roles in tumor establishment and development, the underlying mechanisms of ANE 30-100K-induced autophagy (AIA) is worthy of further investigation. In this study, we further demonstrated that the cytotoxic concentration of ANE 30-100K induces some typical autophagy hallmarks in esophageal carcinoma (CE81T/VGH) cells in an Atg5-dependent manner. Furthermore, the endocytosis inhibitor (methyl-β-cyclodextrin) and two caveolin shRNAs, as well as two proteasome inhibitors (lactacystin and epoxomicin), were shown to attenuate ANE 30-100K-induced cytotoxicity and LC3-II accumulation significantly in OECM-1 and CE81T/VGH cells. Finally, we also analyzed the carbohydrate compositions of ANE 30-100K by phenol-sulfuric acid method and high performance anion exchange chromatography with pulse amperic detector. The results showed that ANE 30-100K contains about 67% carbohydrate and is composed of fucose (5.938%), arabinose (24.631%), glucosamine (8.066%), galactose (26.820%), glucose (21.388%), and mannose (13.157%). Collectively, these results suggest that caveolin-mediated endocytosis and proteasome are required for AIA and the major components of ANE 30-100K are carbohydrates. This study may have provided new knowledges of the action mechanisms and compositions of ANE 30-100K.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.