Literature DB >> 17283220

A novel approach to ultrasensitive diagnosis using supramolecular protein nanoparticles.

Sung-Hyun Lee1, Hyewon Lee, Jin-Seung Park, Hyoung Choi, Kyung-Yeon Han, Hyuk-Seong Seo, Keum-Young Ahn, Sung-Sik Han, Yunjung Cho, Kee-Hyoung Lee, Jeewon Lee.   

Abstract

We report on the ultrasensitive protein nanoprobe system that specifically captures disease marker (autoantibodies of Type I diabetes in this case) with attomolar sensitivity. The system relies on supramolecular protein nanoparticles that bind a specific antibody [65 kDa glutamate decarboxylase (GAD65)-specific autoantibody, i.e., the early marker of Type I diabetes]. The ultrasensitive detection of early marker of Type I diabetes during the early phase of pancreatic beta-cell destruction is important because individuals at high risk of developing Type I diabetes can be identified several years before the clinical onset of the ailment. The bacterial expression of chimera genes encoding N-[human ferritin heavy chain (hFTN-H)]::[specific antigenic epitope]-C produces supramolecular nanoparticles with uniform diameters (10-15 nm), owing to self-assembly activity of hFTN-H. Each nanoparticle, formed by intermolecular self-assembly between the chimera protein molecules, is subjected to carrying a large number (presumably, 24) of epitopes with a homogeneous and stable conformation per autoantibody binding, thereby allowing substantial enhancement of sensitivity. The sensitivity was finally boosted to 3 attomolar concentration of the autoantibodies, 4-9 orders of magnitude more sensitive than conventional immunoassays. Also, this ultrasensitive protein nanoprobe successfully detected natural autoantibodies in the sera from Type I diabetic patients. The attomolar sensitivity was successfully reproduced on the detection of other antibodies, i.e., monoclonal antibodies against hepatitis B surface antigen. With the two antibody markers above, the feasibility of simultaneous and multiplexing-mode detection was also demonstrated.

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Year:  2007        PMID: 17283220     DOI: 10.1096/fj.06-7303com

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  3 in total

Review 1.  Nanosensors and nanomaterials for monitoring glucose in diabetes.

Authors:  Kevin J Cash; Heather A Clark
Journal:  Trends Mol Med       Date:  2010-09-24       Impact factor: 11.951

2.  Functional ferritin nanoparticles for biomedical applications.

Authors:  Zhantong Wang; Haiyan Gao; Yang Zhang; Gang Liu; Gang Niu; Xiaoyuan Chen
Journal:  Front Chem Sci Eng       Date:  2017-02-15       Impact factor: 4.204

3.  Assembling Amperometric Biosensors for Clinical Diagnostics.

Authors:  María Soledad Belluzo; María Elida Ribone; Claudia Marina Lagier
Journal:  Sensors (Basel)       Date:  2008-02-27       Impact factor: 3.576

  3 in total

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