
Novel method utilizing bisulfite conversion with dual amplification‐refractory mutation system polymerase chain reaction to detect circulating pancreatic β‐cell cfDNA
Author(s) -
Okada Asami,
YamadaYamashita Misuzu,
Tominaga Yukari,
Jo Kyoka,
Mori Hiroyasu,
Suzuki Reiko,
Ishizu Masashi,
Tamaki Motoyuki,
Akehi Yuko,
Takashi Yuichi,
Koga Daisuke,
Shimokita Eisuke,
Tanihara Fuminori,
Kurahashi Kiyoe,
Yoshida Sumiko,
Mitsui Yukari,
Masuda Shiho,
Endo Itsuro,
Aihara Kenichi,
Kagami Shoji,
Abe Masahiro,
Ferreri Kevin,
Fujitani Yoshio,
Matsuhisa Munehide,
Kuroda Akio
Publication year - 2022
Publication title -
journal of diabetes investigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.089
H-Index - 50
eISSN - 2040-1124
pISSN - 2040-1116
DOI - 10.1111/jdi.13806
Subject(s) - medicine , polymerase chain reaction , bisulfite , real time polymerase chain reaction , digital polymerase chain reaction , microbiology and biotechnology , dna methylation , biochemistry , gene , biology , gene expression
Aims/Introduction Several research groups have reported methods for quantifying pancreatic beta cell (β‐cell) injury by measuring β‐cell‐specific CpG unmethylation of the insulin gene in circulation using digital droplet PCR or next‐generation sequencing. However, these methods have certain disadvantages, such as the need to consider the background signal owing to the small number of target CpG sites and the need for unique equipment. Materials and Methods We established a novel method for detecting four CpG unmethylations of the insulin gene using two‐step amplification refractory mutation system PCR. We applied it to type 1 diabetes (T1D) patients with a wide range of disease durations and to healthy adults. Results The assay showed high linearity and could detect a single copy of unmethylated insulin DNA in experiments using methylated and unmethylated plasmid DNA. The unmethylated insulin DNA level in the type 1 diabetes group, whose β‐cell mass was considerably reduced, was similar to that of healthy adults. An inverse correlation was observed between copy number and disease duration in patients with unmethylated insulin DNA‐positive type 1 diabetes. Conclusions We developed a novel method for detecting unmethylated insulin DNA in circulation that can be performed using a conventional real‐time PCR system. This method would be useful for analyzing dynamic profiles of β‐cells in human disease such as type 1 diabetes.