Cadmium, a hazardous environmental contaminant, is associated with metabolic disease development. The dose with the lowest observable adverse effect level (LOAEL) has not been studied, focusing on its effect on the pancreas. We aimed to evaluate the pancreatic redox balance and heat shock protein (HSP) expression in islets of Langerhans of male Wistar rats chronically exposed to Cd LOAEL doses, linked to their survival. Male Wistar rats were separated into control and cadmium groups (drinking water with 32.5 ppm CdCl). At 2, 3, and 4 months, glucose, insulin, and cadmium were measured in serum; cadmium and insulin were quantified in isolated islets of Langerhans; and redox balance was analyzed in the pancreas. Immunoreactivity analysis of p-HSF1, HSP70, HSP90, caspase 3 and 9, and cell survival was performed. The results showed that cadmium exposure causes a serum increase and accumulation of the metal in the pancreas and islets of Langerhans, hyperglycemia, and hyperinsulinemia, associated with high insulin production. Cd-exposed groups presented high levels of reactive oxygen species and lipid peroxidation. An augment in MT and GSH concentrations with the increased enzymatic activity of the glutathione system, catalase, and superoxide dismutase maintained a favorable redox environment. Additionally, islets of Langerhans showed a high immunoreactivity of HSPs and minimal immunoreactivity to caspase associated with a high survival rate of Langerhans islet cells. In conclusion, antioxidative and HSP pancreatic defense avoids cell death associated with Cd accumulation in chronic conditions; however, this could provoke oversynthesis and insulin release, which is a sign of insulin resistance.
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http://dx.doi.org/10.1007/s12011-023-03955-y | DOI Listing |
Cell Mol Life Sci
January 2025
Department of Endocrinology, Central South University Third Xiangya Hospital, Changsha, China.
Pancreatic β-cell damage is a critical pathological mechanism in the progression of obese type 2 diabetes mellitus (T2DM). However, the exact underlying mechanism remains unclear. We established an obese T2DM mouse model via high-fat diet feeding.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Huangjiang Hospital, Dongguan, Guangdong, China.
Background: Type 2 diabetes (T2D) has become a significant global health threat, yet its precise causes and mechanisms remain unclear. This study aims to identify gene expression patterns specific to T2D pancreatic islet cells and to explore the potential role of pancreatic stellate cells (PSCs) in T2D progression through regulatory networks involving lncRNA-mRNA interactions.
Methods: In this study, we screened for upregulated genes in T2D pancreatic islet samples using bulk sequencing (bulkseq) datasets and mapped these gene expression profiles onto three T2D single-cell RNA sequencing (scRNAseq) datasets.
Curr Top Dev Biol
January 2025
University of Michigan, Department of Pharmacology, Caswell Diabetes Institute, Ann Arbor, MI, United States. Electronic address:
All-trans retinoic acid (ATRA) signaling is essential in numerous different biological contexts. This review highlights the diverse roles of ATRA during development, function, and diseases of the pancreas. ATRA is essential to specify pancreatic progenitors from gut tube endoderm, endocrine and exocrine differentiation, and adult islet function.
View Article and Find Full Text PDFBackground: Insulinoma is a neuroendocrine tumor, the main manifestation of which is hypoglycemia. However, the symptoms of hypoglycemia can be non-specific for a long time, especially outside provocative conditions, and quite often the tumor manifests from a life-threatening condition - hypoglycemic coma. In this regard, timely laboratory diagnosis of insulinoma and determination of its aggressive course is one of the priorities in modern researches.
View Article and Find Full Text PDFMethods Cell Biol
January 2025
School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom. Electronic address:
Many rodent models are available for preclinical diabetes research making it a challenge for researchers to choose the most appropriate one for their experimental question. To aid in this, models have classically been categorized according to which type of diabetes they represent, and further into whether the model is induced, spontaneous or the result of genetic manipulation. This fails to capture the complexity of pathogenesis seen in diabetes in humans.
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