Human islet isolation outcomes were compared between two purification methods; 32 pancreases were processed by conventional Biocoll purification method (SM, standard method) and 132 pancreases by a refined University of Illinois at Chicago UW/Biocoll method (UIC-UB). There was no difference in donor characteristics between the two study groups. The prepurification equivalent islet number was similar between the groups (359,425+/-40,794 equivalent islet number in SM vs. 370,682+/-17,579 in UIC-UB). SM purified islets were mostly collected in only 2 of 12 fractions (68.9% and 36.3% purity). With the UIC-UB, highly purified islets were collected in 6 of 12 separate fractions (fractions 3-8 with purity of 84.8%, 82.5%, 72.0%, 59.3%, 46.8%, and 36.2%). UIC-UB yielded significantly greater islet yield compared with SM (368,419+/-18,245 vs. 260,908+/-37,835, P=0.017). Islet recovery rate was superior in UIC-UB (84.9% vs. 64.5%, P=0.04). Our study demonstrates a superior recovery of highly pure human pancreatic islets after purification using the refined method of UIC-UB gradient.
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http://dx.doi.org/10.1097/01.tp.0000287127.00377.6f | DOI Listing |
PLoS One
January 2025
School of Human Nutrition, McGill University, Montreal, Québec, Canada.
Objective: Managing blood glucose levels is challenging for elite athletes with type 1 diabetes (T1D) as competition can cause unpredictable fluctuations. While fear of hypoglycemia during physical activity is well documented, research on hyperglycemia-related anxiety (HRA) is limited. HRA refers to the heightened fear that hyperglycemia-related symptoms will impair functioning.
View Article and Find Full Text PDFEndocrinology
January 2025
Department of Pediatrics, Divisions of Neonatology & Developmental Biology and Endocrinology, Neonatal Research Center of the UCLA Children's Discovery & Innovation Institute at the David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1752.
To determine the basis for perinatal nutritional mismatch causing metabolic dysfunction associated steatotic liver disease (MASLD) and diabetes mellitus, we examined adult phenotype, hepatic transcriptome, and pancreatic β-islet function. In prenatal caloric restricted rat with intrauterine growth restriction (IUGR) and postnatal exposure to high fat with fructose (HFhf) or high carbohydrate (RC), we investigated male and female IUGR-Hfhf and IUGR-RC, versus HFhf and CON offspring. Males more than females displayed adiposity, glucose intolerance, insulin resistance, hyperlipidemia, hepatomegaly with hepatic steatosis.
View Article and Find Full Text PDFSci Adv
January 2025
The Finsen Laboratory, Rigshospitalet, DK-2200 Copenhagen, Denmark.
Antibody-drug conjugates (ADCs) hold promise to advance targeted therapy of pancreatic ductal adenocarcinoma (PDAC), where the desmoplastic tumor stroma challenges effective treatment. Here, we explored the urokinase plasminogen activator receptor (uPAR) as a candidate ADC target in PDAC, harnessing its massive tumoral and stromal expression in this stroma-dense tumor. We generated a site-specific ADC offering high-affinity, cross-species reactivity, and efficient internalization of the anti-uPAR monoclonal antibody, FL1, carrying a potent anthracycline derivative (PNU-158692).
View Article and Find Full Text PDFLearn Health Syst
January 2025
Northwell New Hyde Park New York USA.
Introduction: Learning health networks (LHNs) improve clinical outcomes by applying core tenets of continuous quality improvements (QI) to reach community-defined outcomes, data-sharing, and empowered interdisciplinary teams including patients and caregivers. LHNs provide an ideal environment for the rapid adoption of evidence-based guidelines and translation of research and best practices at scale. When an LHN is established, it is critical to understand the needs of all stakeholders.
View Article and Find Full Text PDFEndocr Oncol
January 2024
OCDEM, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK.
Current models for the study of neuroendocrine tumours (NETs) are severely limited. While (e.g.
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