EID=352298 | EID:352298,
Map:0,
LastModified:2019年12月25日(水) 15:11:22,
Operator:[三木 ちひろ],
Avail:TRUE,
Censor:0,
Owner:[松久 宗英],
Read:継承,
Write:継承,
Delete:継承.
|
○種別 (必須): | □ | 学術論文 (紀要その他)
| [継承] |
○言語 (必須): | □ | 日本語
| [継承] |
○招待 (推奨): |
○審査 (推奨): |
○カテゴリ (推奨): |
○共著種別 (推奨): |
○学究種別 (推奨): |
○組織 (推奨): |
○著者 (必須): | 1. | (英) Kawano Tomoharu (日) 河野 友晴 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 2. | 松久 宗英 ([徳島大学.先端酵素学研究所.基幹研究部門]/徳島大学病院アンチエイジングセンター センター長(併任))
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 3. | 橋田 誠一 ([宮崎医科大学])
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 4. | (英) Numata Satoshi (日) 沼田 聡 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 5. | 藤本 一幸
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 6. | 黒田 暁生 ([徳島大学.先端酵素学研究所.基幹研究部門])
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 7. | (英) Yasuda Tetsuyuki (日) 安田 哲行 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 8. | (英) Miyashita Kazuyuki (日) 宮下 和幸 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 9. | (英) Sakamoto Fumie (日) 坂本 扶美枝 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 10. | (英) Katakami Naoto (日) 片上 直人 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
| 11. | (英) Matsuoka Taka-aki (日) 松岡 孝昭 (読)
○役割 (任意): |
○貢献度 (任意): |
○学籍番号 (推奨): |
| [継承] |
○題名 (必須): | □ | (英) Development of highly sensitive enzyme immunoassay (ICT-EIA) for IA-2 autoantibody and application for detection of three islet-specific autoantibodies ( GADA, IA-2A and IAA) in type I diabetes mellitus (日) IA-2抗体の高感度検出法(ICT-EIA法)の開発と長期罹患若年性1型糖尿病患者における3種膵島関連自己抗体(GADA,IA-2A,IAA)の検出について
| [継承] |
○副題 (任意): |
○要約 (任意): | □ | (英) <p>Development of highly sensitive enzyme immunoassay (ICT-EIA) for IA-2 autoantibody and application for detection of three islet-specific autoantibodies ( GADA, IA-2A and IAA) in type I diabetes mellitus Tomoharu Kawano, Satoshi Numata, Yuki Fujimoto, Akio Kuroda, Tetsuyuki Yasuda,Kazuyuki Miyashita, Fumie Sakamoto, Naoto Katakami, Taka-aki Matsuoka, Munehide Matsuhisa and Seiichi Hashida Summary Detection of pancreatic islet-related autoantibodies( insulin antibody [IAA]; glutamic acid decarboxylase antibody [GADA]; and islet antigen-2 antibody [IA-2A], is essential for the diagnosis and prediction of the onset of type I diabetes mellitus. Depending on the disease duration, the detection rate of each autoantibody is different, and using only one kind of autoantibody detection risks overlooking a positive result. The detection precision of type I diabetes mellitus would thus be improved by measuring all three kinds of autoantibodies. We developed a highly sensitive enzyme immunoassay( ICT-EIA) for IA-2 autoantibody. ICT-EIAs for IAA and GADA have already been developed. Using three ICT-EIAs, we attempted to measure autoantibodies in sera from patients with type I diabetes mellitus. Patients comprised 25 males and 51 females( mean age, 33.3±5.7 years; disease duration, 23.9±6.7 years) with type I diabetes mellitus who had been undergoing treatment with insulin for between 11 and 40 years. Among these patients, urinary C-peptide-positive results were seen in three patients. IAA, GADA and IA-2A in sera were measured by ICT-EIA. The newly developed ICT-EIA for IA-2 antibodies was approximately 100-times more sensitive than the conventional ELISA. The positive ratio was 77.6%, representing a high rate of detection. In addition, even in patients with a disease duration >30 years, the positive rate was 64.3%. ICT-EIA was thus suggested to be useful in combination assays for pancreatic islet-related autoantibodies (IAA, GADA and IA-2A).</p><p> </p><p></p> (日) <p>Development of highly sensitive enzyme immunoassay (ICT-EIA) for IA-2 autoantibody and application for detection of three islet-specific autoantibodies ( GADA, IA-2A and IAA) in type I diabetes mellitus Tomoharu Kawano, Satoshi Numata, Yuki Fujimoto, Akio Kuroda, Tetsuyuki Yasuda,Kazuyuki Miyashita, Fumie Sakamoto, Naoto Katakami, Taka-aki Matsuoka, Munehide Matsuhisa and Seiichi Hashida Summary Detection of pancreatic islet-related autoantibodies( insulin antibody [IAA]; glutamic acid decarboxylase antibody [GADA]; and islet antigen-2 antibody [IA-2A], is essential for the diagnosis and prediction of the onset of type I diabetes mellitus. Depending on the disease duration, the detection rate of each autoantibody is different, and using only one kind of autoantibody detection risks overlooking a positive result. The detection precision of type I diabetes mellitus would thus be improved by measuring all three kinds of autoantibodies. We developed a highly sensitive enzyme immunoassay( ICT-EIA) for IA-2 autoantibody. ICT-EIAs for IAA and GADA have already been developed. Using three ICT-EIAs, we attempted to measure autoantibodies in sera from patients with type I diabetes mellitus. Patients comprised 25 males and 51 females( mean age, 33.3±5.7 years; disease duration, 23.9±6.7 years) with type I diabetes mellitus who had been undergoing treatment with insulin for between 11 and 40 years. Among these patients, urinary C-peptide-positive results were seen in three patients. IAA, GADA and IA-2A in sera were measured by ICT-EIA. The newly developed ICT-EIA for IA-2 antibodies was approximately 100-times more sensitive than the conventional ELISA. The positive ratio was 77.6%, representing a high rate of detection. In addition, even in patients with a disease duration >30 years, the positive rate was 64.3%. ICT-EIA was thus suggested to be useful in combination assays for pancreatic islet-related autoantibodies (IAA, GADA and IA-2A).</p><p> </p><p></p>
| [継承] |
○キーワード (推奨): |
○発行所 (推奨): | □ | 徳島文理大学
| [継承] |
○誌名 (必須): | □ | 徳島文理大学研究紀要 ([徳島文理大学])
(pISSN: 0286-9829)
○ISSN (任意): | □ | 0286-9829
ISSN: 0286-9829
(pISSN: 0286-9829) Title: 徳島文理大学研究紀要Supplier: 徳島文理大学 (Webcat Plus)
(医中誌Web)
(No Scopus information.)
| [継承] |
| [継承] |
○巻 (必須): | □ | 96
| [継承] |
○号 (必須): | □ |
| [継承] |
○頁 (必須): | □ | 35 44
| [継承] |
○都市 (任意): |
○年月日 (必須): | □ | 西暦 2018年 9月 初日 (平成 30年 9月 初日)
| [継承] |
○URL (任意): | □ | https://ci.nii.ac.jp/naid/130007602165/
| [継承] |
○DOI (任意): | □ | 10.24596/tokusimabunriu.96.0_35 (→Scopusで検索)
| [継承] |
○PMID (任意): |
○NAID (任意): | □ | 130007602165
| [継承] |
○WOS (任意): |
○Scopus (任意): |
○評価値 (任意): |
○被引用数 (任意): |
○指導教員 (推奨): |
○備考 (任意): |
|