Javascript must be enabled to continue!
Analyzing Amylin Aggregation Inhibition Through Quantum Dot Fluorescence Imaging
View through CrossRef
Protein aggregation is associated with various diseases caused by protein misfolding. Among them, amylin deposition is a prominent feature of type 2 diabetes. At present, the mechanism of amylin aggregation remains unclear, and this has hindered the treatment of type 2 diabetes. In this study, we analyzed the aggregation process of amylin using the quantum dot (QD) imaging method. QD fluorescence imaging revealed that in the presence of 100 μM amylin, aggregates appeared after 12 h of incubation, while a large number of aggregates formed after 24 h of incubation, with a standard deviation (SD) value of 5.435. In contrast, 50 μM amylin did not induce the formation of aggregates after 12 h of incubation, although a large number of aggregates were observed after 24 h of incubation, with an SD value of 2.883. Confocal laser microscopy observations revealed that these aggregates were deposited in three dimensions. Transmission electron microscopy revealed that amylin existed as misfolded fibrils in vitro and that QDs were uniformly bound to the amylin fibrils. In addition, using a microliter-scale high-throughput screening (MSHTS) system, we found that rosmarinic acid, a polyphenol, inhibited amylin aggregation at a half-maximal effective concentration of 852.8 μM. These results demonstrate that the MSHTS system is a powerful tool for evaluating the inhibitory activity of amylin aggregation. Our findings will contribute to the understanding of the pathogenesis of amylin-related diseases and the discovery of compounds that may be useful in the treatment and prevention of these diseases.
Title: Analyzing Amylin Aggregation Inhibition Through Quantum Dot Fluorescence Imaging
Description:
Protein aggregation is associated with various diseases caused by protein misfolding.
Among them, amylin deposition is a prominent feature of type 2 diabetes.
At present, the mechanism of amylin aggregation remains unclear, and this has hindered the treatment of type 2 diabetes.
In this study, we analyzed the aggregation process of amylin using the quantum dot (QD) imaging method.
QD fluorescence imaging revealed that in the presence of 100 μM amylin, aggregates appeared after 12 h of incubation, while a large number of aggregates formed after 24 h of incubation, with a standard deviation (SD) value of 5.
435.
In contrast, 50 μM amylin did not induce the formation of aggregates after 12 h of incubation, although a large number of aggregates were observed after 24 h of incubation, with an SD value of 2.
883.
Confocal laser microscopy observations revealed that these aggregates were deposited in three dimensions.
Transmission electron microscopy revealed that amylin existed as misfolded fibrils in vitro and that QDs were uniformly bound to the amylin fibrils.
In addition, using a microliter-scale high-throughput screening (MSHTS) system, we found that rosmarinic acid, a polyphenol, inhibited amylin aggregation at a half-maximal effective concentration of 852.
8 μM.
These results demonstrate that the MSHTS system is a powerful tool for evaluating the inhibitory activity of amylin aggregation.
Our findings will contribute to the understanding of the pathogenesis of amylin-related diseases and the discovery of compounds that may be useful in the treatment and prevention of these diseases.
Related Results
Developmental Regulation of Amylin and Insulin-Gene Expression in Lean (Fa/Fa) and obese (fa/fa) Zucker rats
Developmental Regulation of Amylin and Insulin-Gene Expression in Lean (Fa/Fa) and obese (fa/fa) Zucker rats
Obese individuals are hyperinsulinemic and insulin resistant. Because amylin is cosecreted with insulin and may contribute to the insulin resistance of obesity, this study tested t...
2064-LB: Novel Amylin and Calcitonin Receptor Coagonists Reduce Food Intake and Body Weight in Rodents
2064-LB: Novel Amylin and Calcitonin Receptor Coagonists Reduce Food Intake and Body Weight in Rodents
Amylin analogs have been shown to significantly reduced body weight and dosage of insulin. Dual amylin and calcitonin receptor agonists (DACRAs) are the most potent amylin receptor...
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Current Fluctuations in Hybrid-Superconductor Normal Structures with Quantum Dots
Current Fluctuations in Hybrid-Superconductor Normal Structures with Quantum Dots
<p>Nanostructures with quantum dots in proximity to superconducting electrodes are an ideal tool to study superconducting correlations in systems with few degrees of freedom ...
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
The advent of quantum computing has introduced significant potential to revolutionize healthcare through quantum neural networks (QNNs), offering unprecedented capabilities in proc...
Quantum information outside quantum information
Quantum information outside quantum information
Quantum theory, as counter-intuitive as a theory can get, has turned out to make predictions of the physical world that match observations so precisely that it has been described a...

