Islet β-cell biomarkers can reflect changes in the number and function of islet β-cells in the prediabetes or early diabetes stage. CD34 is a commonly used stem cell biomarker; however, its expression and function in pancreatic islets remain unclear. In the present study, double immunofluorescence staining, proteomic bioinformatics analysis, and correlation analysis were used to explore the potential of CD34 as an islet β-cell biomarker. Bioinformatics analysis revealed that the amino acid sequence of CD34 was conserved among multiple species and abundantly expressed on mouse and human pancreatic tissues. Immunofluorescence demonstrated that in the control rat pancreas, CD34 was expressed on glucagon-labeled islet α-cells but not on insulin-labeled islet β-cells. Furthermore, the proportion of CD34-positive cells, which were also positive for glucagon, was significantly increased in alloxan-induced diabetes models. Statistical analysis revealed that the expression of CD34 was negatively correlated with the number of insulin-labeled islet β-cells during diabetes progression in dose-dependent fashion in alloxan-induced diabetes models. Furthermore, the results suggested that the transdifferentiation of islet β-cells into islet α-cells may occur in the process of diabetes. Thus, the present study demonstrated that CD34 is expressed on islet α-cells, and its number is linearly and negatively correlated with the number of islet β-cells, suggesting that CD34 can be used as a prospective biomarker for islet β-cells in the early diagnosis of diabetes. The study also suggests the transformation of β-cells to α-cells in diabetes which provide a potential to be applied towards diabetes mechanism research.
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http://dx.doi.org/10.3389/fphys.2022.1032774 | DOI Listing |
Artif Organs
January 2025
Laboratory of Tissue Engineering and Organ Regeneration, Department of Surgery, University of Geneva, Geneva, Switzerland.
Intrahepatic islet transplantation is a promising strategy for β-cell replacement therapy in the treatment of Type 1 Diabetes. However, several obstacles hinder the long-term efficacy of this therapy. A major challenge is the scarcity of donor organs.
View Article and Find Full Text PDFEndocrinology
January 2025
Australian National University School of Medicine and Psychology, Australian National University, Acton, ACT, 0200, Australia.
Context: The obesity epidemic parallels an increasing type 1 diabetes incidence, such that westernized diets, containing high fat, sugar and/or protein, through inducing nutrient-induced islet beta-cell stress, have been proposed as contributing factors. The broad-spectrum neutral amino acid transporter (B0AT1), encoded by Slc6a19, is the major neutral amino acids transporter in intestine and kidney. B0AT1 deficiency in C567Bl/6J mice, causes aminoaciduria, lowers insulinemia and improves glucose tolerance.
View Article and Find Full Text PDFActa Physiol (Oxf)
February 2025
UR Diabète et Thérapeutiques, Centre européen d'étude du Diabète, Université de Strasbourg, Strasbourg, France.
Aim: Pancreatic β-cells are susceptible to inflammation, leading to decreased insulin production/secretion and cell death. Previously, we have identified a novel triceps-derived myokine, DECORIN, which plays a pivotal role in skeletal muscle-to-pancreas interorgan communication. However, whether DECORIN can directly impact β-cell function and susceptibility to inflammation remains unexplored.
View Article and Find Full Text PDFCurr Cancer Drug Targets
January 2025
Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Experimental cell culture models that mimic the intricate features of organs offer significant potential for fundamental research and clinical applications. In order to enhance the growth of organoids, various matrices have been developed to replicate the essential character-istics of the tissue microenvironment through physical, chemical, and mechanical cues. Recent advancements in biomaterial technology have further refined the cultivation of organoids.
View Article and Find Full Text PDFNature
January 2025
Institute of Computational Biology, Helmholtz Center, Munich, Germany.
Single-cell genomic technologies enable the multimodal profiling of millions of cells across temporal and spatial dimensions. However, experimental limitations hinder the comprehensive measurement of cells under native temporal dynamics and in their native spatial tissue niche. Optimal transport has emerged as a powerful tool to address these constraints and has facilitated the recovery of the original cellular context.
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