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http://dx.doi.org/10.1007/BF03368776 | DOI Listing |
Diabetol Metab Syndr
January 2025
Department of Endocrinology, Medical University of Sofia, 2 Zdrave Str., 1431, Sofia, Bulgaria.
Aim: The present study comparatively evaluated glucose variability (GV) parameters derived from both continuous glucose monitoring (CGM) performed under standard conditions for a 24-h period and under usual everyday conditions for a 14-day period in a high-risk population without diabetes.
Methods And Results: Seventy five subjects: 14 with normal glucose tolerance (NGT; mean age 43.6 ± 10.
J Endocrinol Invest
January 2025
Department of Medicine (DIMED), University of Padova, Padua, Italy.
Purpose: A paradoxical increase in GH after oral glucose load (GH-Par) characterizes about one-third of acromegaly patients and is associated with a better response to first-generation somatostatin receptor ligands (fg-SRLs). Pasireotide is typically considered as a second-/third-line treatment. Here, we investigated the predictive role of GH-Par in pasireotide response and adverse event development.
View Article and Find Full Text PDFJCEM Case Rep
February 2025
Department of Ophthalmology, University of Chicago Medicine, Chicago, IL 60637, USA.
Cataracts secondary to type 1 or type 2 diabetes are not uncommon in adults; however, they are a rare finding in pediatric patients with type 1 diabetes. A 15-year-old girl presented with progressively worsened bilateral vision for 6 months. Her vision rapidly deteriorated over the previous month, prompting further evaluation that found bilateral cataracts with haziness in all layers and swollen lenses.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China. Electronic address:
Background: The role of inflammation in the development of type 2 diabetes mellitus (T2DM) related skin complications necessitates further investigation. This study aims to explore the correlation between inflammation and cutaneous alterations in T2DM, enhancing comprehension of underlying mechanism involved.
Methods: Utilizing bioinformatics, the GSE38396 and GSE92724 datasets were employed to identify differentially expressed genes (DEGs) and potential hub genes in T2DM-related skin inflammation.
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