Development of an ultra-sensitive enzyme immunoassay for human insulin autoantibodies

被引:5
|
作者
Numata, Satoshi [2 ]
Umehara, Asako [3 ]
Katakami, Hideki [4 ]
Inoue, Shinobu [5 ]
Hashida, Seiichi [1 ]
机构
[1] Tokushima Bunri Univ, Inst Hlth Sci, Tokushima 7708514, Japan
[2] Kochi Univ, Dept Hlth Sci, Kochi 7818515, Japan
[3] Takamatsu Red Cross Hosp, Takamatsu, Kagawa 7600017, Japan
[4] Teikyo Univ, Dept Med, Chiba Med Ctr, Chiba 2990111, Japan
[5] Miyazaki Higashi Hosp, Natl Hosp Org, Miyazaki 8800911, Japan
关键词
Enzyme immunoassay; Insulin antibodies; Diabetes; Graves disease; Dextran-charcoal; VIRUS TYPE-1 P24; ANTIBODIES; SERUM; ADULTS; LADA; IGG;
D O I
10.1016/j.clinbiochem.2012.05.027
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Objectives: We developed an ultrasensitive enzyme immunoassay (ICT-EIA) for insulin autoantibody (IAA) measurements to better understand the pathophysiology of diabetes. Design and methods: We developed ICT-EIA for IAA and measured IAA in 24 patients with type 1 diabetes, 30 patients with type 2 diabetes. 30 patients with methimazole-treated Graves' disease, 20 patients with Hashimoto's disease, 9 patients with hyperinsulinemia, and 73 healthy control subjects. Results: The conventional ELISA identified 3 patients with type 1 diabetes and 2 patients with type 2 diabetes as IAA positive, whereas 15 patients with type 1 diabetes, 7 patients with type 2 diabetes, and 4 patients with methimazole-treated Graves' disease were identified as IAA positive using ICT-EIA. Conclusions: The ICT-EIA is an ultrasensitive and specific assay for IAA, and its use may provide a better understanding of the role of IAA in diabetes onset and progression. (c) 2012 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1086 / 1091
页数:6
相关论文
共 50 条
  • [21] Development of an Ultra-Sensitive Multiplex (6-plex) Cytokine Digital Immunoassay with fg/ml Sensitivity
    Lambert, Jeremy
    Shan, Dandan
    Chang, Lei
    Rissin, David
    Nie, Shuai
    Hanlon, David
    JOURNAL OF IMMUNOLOGY, 2018, 200 (01):
  • [22] DEVELOPMENT OF A SENSITIVE ENZYME-IMMUNOASSAY FOR THE DETERMINATION OF VINPOCETINE IN HUMAN PLASMA
    RECK, B
    DINGLER, E
    LOHMANN, A
    ARZNEIMITTEL-FORSCHUNG/DRUG RESEARCH, 1992, 42-2 (10): : 1171 - 1174
  • [23] An Investigation of an Ultra-Sensitive Immunoassay Platform for Detection of BMN270 in Plasma
    Sandza, Krystal
    Yang, Fan
    Russell, Chris B.
    Zoog, Stephen J.
    Vettermann, Christian
    MOLECULAR THERAPY, 2019, 27 (04) : 155 - 155
  • [24] An ultra-sensitive photothermal lateral flow immunoassay for 17?-estradiol in food samples
    Zhang, Yi
    Yang, Han-Jie
    Xu, Zhenghua
    Liu, Xiao
    Zhou, Jie
    Qu, Xu-Fang
    Wang, Wen-Long
    Feng, Yongwei
    Peng, Chifang
    FOOD CHEMISTRY, 2023, 404
  • [25] Ultra-Sensitive Ultrasound
    Herner, Maranda O.
    Maw, Anna
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (04)
  • [26] Ultra-sensitive assay development for early detection of tuberculosis
    Almaraz, Mireya
    Xie, Liangxia
    Walt, David
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
  • [27] Development of an ultra-sensitive radon detector for the SuperNEMO experiment
    Mamedov, F.
    Stekl, I.
    Konicek, J.
    Smolek, K.
    Cermak, P.
    JOURNAL OF INSTRUMENTATION, 2011, 6
  • [28] DEVELOPMENT OF SENSITIVE ENZYME-IMMUNOASSAY FOR HUMAN NERVE GROWTH-FACTOR
    MURASE, K
    FURUKAWA, Y
    IWANE, M
    HAYASHI, K
    BIOCHEMISTRY INTERNATIONAL, 1991, 25 (01): : 29 - 34
  • [29] Ultra-sensitive immunoassay biosensors using hybrid plasmonic-biosilica nanostructured materials
    Yang, Jing
    Zhen, Le
    Ren, Fanghui
    Campbell, Jeremy
    Rorrer, Gregory L.
    Wang, Alan X.
    JOURNAL OF BIOPHOTONICS, 2015, 8 (08) : 659 - 667
  • [30] Surround optical fiber immunoassay (SOFIA): An ultra-sensitive assay for prion protein detection
    Chang, Binggong
    Gray, Perry
    Piltch, Martin
    Bulgin, Marie S.
    Sorensen-Melson, Sharon
    Miller, Michael W.
    Davies, Paul
    Brown, David R.
    Coughlin, Daniel R.
    Rubenstein, Richard
    JOURNAL OF VIROLOGICAL METHODS, 2009, 159 (01) : 15 - 22