Flavonoid‐Derived Probes for the Detection of Islet Amyloid Polypeptide Aggregates

Abstract Type‐2 diabetes (T2D) is a growing global health crisis, with over 90% of diabetes cases attributed to this condition. Misfolding and aggregation of islet amyloid polypeptide (IAPP) is a hallmark of early T2D, contributing to pancreatic β‐cell dysfunction. While significant progress has been made in developing sensors for amyloids implicated in neurodegeneration, fluorescent probes for detecting IAPP aggregates remain limited. We report a series of flavonoid derivatives designed for enhanced IAPP fibril detection. The probes feature modifications, including methoxy substitution at C7 and varying amines at C4, which enhance their binding affinity for IAPP fibrils compared to the widely used Thioflavin T (ThT). The leading probes, F4 and MF1 , exhibited over 10‐fold increased binding affinity compared to ThT, alongside ratiometric fluorescence due to excited‐state intramolecular proton transfer. F4 and MF1 were applied to image IAPP aggregates in pancreatic β‐cells and zebrafish tissue sections, where both probes demonstrated specific imaging of IAPP fibrils. These probes also demonstrated reduced fluorescence when IAPP monomers were incubated with inhibitors, indicating fibril disassembly. Our results position F4 and MF1 as promising tools for exploring the pathological role of IAPP aggregation in diabetes and for high‐throughput screening of IAPP aggregation inhibitors.

Authors

Institutions

Publication Details

Journal
Analysis & Sensing
Published
2024-12-23
DOI
https://doi.org/10.1002/anse.202400104
Citations
3
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flavonoid‐Derived Probes for the Detection of Islet Amyloid Polypeptide Aggregates

Jiayi Fan, Amandeep Kaur, I.J. Lean, Ibrahim Javed et al.
3 citations
Analysis & Sensing
Alzheimer's disease research and treatments
0.98
article

Flavonoid‐Derived Probes for the Detection of Islet Amyloid Polypeptide Aggregates

Jiayi Fan, Amandeep Kaur, I.J. Lean, Ibrahim Javed, Yijia Xu, Thomas P. Davis, Zijie Luo
article en
3 citations

Abstract

Abstract Type‐2 diabetes (T2D) is a growing global health crisis, with over 90% of diabetes cases attributed to this condition. Misfolding and aggregation of islet amyloid polypeptide (IAPP) is a hallmark of early T2D, contributing to pancreatic β‐cell dysfunction. While significant progress has been made in developing sensors for amyloids implicated in neurodegeneration, fluorescent probes for detecting IAPP aggregates remain limited. We report a series of flavonoid derivatives designed for enhanced IAPP fibril detection. The probes feature modifications, including methoxy substitution at C7 and varying amines at C4, which enhance their binding affinity for IAPP fibrils compared to the widely used Thioflavin T (ThT). The leading probes, F4 and MF1 , exhibited over 10‐fold increased binding affinity compared to ThT, alongside ratiometric fluorescence due to excited‐state intramolecular proton transfer. F4 and MF1 were applied to image IAPP aggregates in pancreatic β‐cells and zebrafish tissue sections, where both probes demonstrated specific imaging of IAPP fibrils. These probes also demonstrated reduced fluorescence when IAPP monomers were incubated with inhibitors, indicating fibril disassembly. Our results position F4 and MF1 as promising tools for exploring the pathological role of IAPP aggregation in diabetes and for high‐throughput screening of IAPP aggregation inhibitors.

Analysis & SensingVol. 5(3)
Australian Research Council (AU), The University of Queensland (AU), University of South Australia (AU), Institute of Bioengineering and Nanotechnology (SG), ARC Centre of Excellence for Innovations in Peptide and Protein Science (AU), Monash University (AU), Monash Institute of Medical Research (AU)
Monash University, National Health and Medical Research Council
Openalex Percentile: Top 22%
Alzheimer's disease research and treatments
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.