Literature DB >> 35059265

Japanese Type 1 Diabetes Database Study (TIDE-J): rationale and study design.

Daisuke Chujo1,2,3, Akihisa Imagawa4, Kazuki Yasuda5, Norio Abiru6, Takuya Awata7, Tomoyasu Fukui8, Hiroshi Ikegami9, Eiji Kawasaki10, Takeshi Katsuki11, Tetsuro Kobayashi12, Junji Kozawa13, Kan Nagasawa14, Hiroshi Ohtsu15, Yoichi Oikawa16, Haruhiko Osawa17, Akira Shimada16, Masayuki Shimoda3, Kazuma Takahashi18, Kyoichiro Tsuchiya19, Tetsuro Tsujimoto20, Hisafumi Yasuda21, Toshiaki Hanafusa4,22, Hiroshi Kajio1.   

Abstract

Type 1 diabetes (T1D) is classified into three subtypes: acute-onset, slowly progressive, and fulminant T1D, according to the heterogeneity of clinical course in Japan. Although several cross-sectional databases of T1D have been reported, prospective longitudinal databases to investigate clinical outcomes are lacking in our country. Therefore, we herein construct multi-center prospective longitudinal database of the three subtypes of T1D, accompanied with genetic information and biobanking, which is named Japanese Type 1 Diabetes Database Study (TIDE-J). Inclusion criteria of this study are as follows: (1) the duration of T1D was less than 5 years, (2) the patients had one or more islet-related autoantibodies and/or fasting serum C-peptide levels were less than 1.0 ng/mL, (3) the patients could clearly understand the study consent in writing. In the TIDE-J, clinical data, including glycemic control, endogenous insulin secretion, islet-related autoantibodies, diabetic complications, and treatment, are collected annually using electric data collection system, which is named REDCap. Furthermore, HLA genotypes of each participant were analyzed at entry and the blood samples were stored for assessing exploratory markers and further genetic analysis annually. The TIDE-J certainly helps in revealing distinct clinical course of each T1D subtype. Moreover, this database may help in identifying novel markers for diagnosing each subtype of T1D and predicting clinical outcomes (including pancreatic beta cell function and disease severity) in patients. © The Japan Diabetes Society 2021.

Entities:  

Keywords:  Database; Electric data collection; Multi-center; Type 1 diabetes

Year:  2021        PMID: 35059265      PMCID: PMC8733142          DOI: 10.1007/s13340-021-00541-2

Source DB:  PubMed          Journal:  Diabetol Int        ISSN: 2190-1678


  28 in total

1.  A novel subtype of type 1 diabetes mellitus characterized by a rapid onset and an absence of diabetes-related antibodies. Osaka IDDM Study Group.

Authors:  A Imagawa; T Hanafusa; J Miyagawa; Y Matsuzawa
Journal:  N Engl J Med       Date:  2000-02-03       Impact factor: 91.245

2.  Genetics of type 1 diabetes in Asian and Caucasian populations.

Authors:  Hiroshi Ikegami; Yumiko Kawabata; Shinsuke Noso; Tomomi Fujisawa; Toshio Ogihara
Journal:  Diabetes Res Clin Pract       Date:  2007-04-23       Impact factor: 5.602

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

4.  Genome-Wide Association Study Confirming a Strong Effect of HLA and Identifying Variants in CSAD/lnc-ITGB7-1 on Chromosome 12q13.13 Associated With Susceptibility to Fulminant Type 1 Diabetes.

Authors:  Yumiko Kawabata; Nao Nishida; Takuya Awata; Eiji Kawasaki; Akihisa Imagawa; Akira Shimada; Haruhiko Osawa; Shoichiro Tanaka; Kazuma Takahashi; Masao Nagata; Hisafumi Yasuda; Yasuko Uchigata; Hiroshi Kajio; Hideichi Makino; Kazuki Yasuda; Tetsuro Kobayashi; Toshiaki Hanafusa; Katsushi Tokunaga; Hiroshi Ikegami
Journal:  Diabetes       Date:  2018-12-14       Impact factor: 9.461

Review 5.  Type 1 diabetes mellitus.

Authors:  Anastasia Katsarou; Soffia Gudbjörnsdottir; Araz Rawshani; Dana Dabelea; Ezio Bonifacio; Barbara J Anderson; Laura M Jacobsen; Desmond A Schatz; Åke Lernmark
Journal:  Nat Rev Dis Primers       Date:  2017-03-30       Impact factor: 52.329

6.  Predicting progression to diabetes in islet autoantibody positive children.

Authors:  Andrea K Steck; Fran Dong; Brigitte I Frohnert; Kathleen Waugh; Michelle Hoffman; Jill M Norris; Marian J Rewers
Journal:  J Autoimmun       Date:  2018-02-01       Impact factor: 7.094

7.  The Japanese Study Group of Insulin Therapy for Childhood and Adolescent Diabetes (JSGIT): initial aims and impact of the family history of type 1 diabetes mellitus in Japanese children.

Authors:  N Matsuura; Y Yokota; K Kazahari; N Sasaki; S Amemiya; Y Ito; N Fukushima; A Koike; Y Igarashi; T Hirano; S Sugihara; Y Miki; T Urakami; Y Uchigata; S Kanematsu; Y Ohki; M Takesue; Y Hasegawa; S Miyamoto; M Fujimoto; S Fujitsuka; T Mori; H Ogawa; M Uchiyama; K Onigata; K Tachibana; N Kikuchi; T Taketani; H Kohno; Y Kasahara; G Isshiki; M Tokuda; T Takahashi; S Kanzaki; I Yokota; K Kida; T Okada; S Nishiyama; H Masuda; A Kinugasa; O Nukada
Journal:  Pediatr Diabetes       Date:  2001-12       Impact factor: 4.866

8.  Protein-altering variants of PTPN2 in childhood-onset Type 1A diabetes.

Authors:  M Okuno; T Ayabe; I Yokota; I Musha; K Shiga; T Kikuchi; N Kikuchi; A Ohtake; A Nakamura; K Nakabayashi; K Okamura; Y Momozawa; M Kubo; J Suzuki; T Urakami; T Kawamura; S Amemiya; T Ogata; S Sugihara; M Fukami
Journal:  Diabet Med       Date:  2018-01-03       Impact factor: 4.359

9.  Identification of INS and KCNJ11 gene mutations in type 1B diabetes in Japanese children with onset of diabetes before 5 years of age.

Authors:  Maki Moritani; Ichiro Yokota; Kohji Tsubouchi; Ryuzo Takaya; Koji Takemoto; Kanshi Minamitani; Tatsuhiko Urakami; Tomoyuki Kawamura; Nobuyuki Kikuchi; Mitsuo Itakura; Tsutomu Ogata; Shigetaka Sugihara; Shin Amemiya
Journal:  Pediatr Diabetes       Date:  2012-09-10       Impact factor: 4.866

10.  Diagnostic criteria for acute-onset type 1 diabetes mellitus (2012): Report of the Committee of Japan Diabetes Society on the Research of Fulminant and Acute-onset Type 1 Diabetes Mellitus.

Authors:  Eiji Kawasaki; Taro Maruyama; Akihisa Imagawa; Takuya Awata; Hiroshi Ikegami; Yasuko Uchigata; Haruhiko Osawa; Yumiko Kawabata; Tetsuro Kobayashi; Akira Shimada; Ikki Shimizu; Kazuma Takahashi; Masao Nagata; Hideichi Makino; Toshiaki Hanafusa
Journal:  J Diabetes Investig       Date:  2013-08-13       Impact factor: 4.232

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