Literature DB >> 25038825

A plasmonic chip for biomarker discovery and diagnosis of type 1 diabetes.

Bo Zhang1, Rajiv B Kumar2, Hongjie Dai3, Brian J Feldman4.   

Abstract

Type 1 diabetes (T1D) is an autoimmune disease, whereas type 2 diabetes (T2D) results from insulin resistance and beta cell dysfunction. Previously, the onset of these two separate diseases was easily distinguished, with children being most at risk for T1D and T2D occurring in overweight adults. However, the dramatic rise in obesity, coupled with the notable increase in T1D, has created a large overlap in these previously discrete patient populations. Delayed diagnosis of T1D can result in severe illness or death, and rapid diagnosis of T1D is critical for the efficacy of emerging therapies. However, attempts to apply next-generation platforms have been unsuccessful for detecting diabetes biomarkers. Here we describe the development of a plasmonic gold chip for near-infrared fluorescence-enhanced (NIR-FE) detection of islet cell-targeting autoantibodies. We demonstrate that this platform has high sensitivity and specificity for the diagnosis of T1D and can be used to discover previously unknown biomarkers of T1D.

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Year:  2014        PMID: 25038825      PMCID: PMC4736508          DOI: 10.1038/nm.3619

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  28 in total

1.  Plasmonic substrates for multiplexed protein microarrays with femtomolar sensitivity and broad dynamic range.

Authors:  Scott M Tabakman; Lana Lau; Joshua T Robinson; Jordan Price; Sarah P Sherlock; Hailiang Wang; Bo Zhang; Zhuo Chen; Stephanie Tangsombatvisit; Justin A Jarrell; Paul J Utz; Hongjie Dai
Journal:  Nat Commun       Date:  2011-09-13       Impact factor: 14.919

2.  Islet-cell antibodies in diabetes mellitus with autoimmune polyendocrine deficiencies.

Authors:  G F Bottazzo; A Florin-Christensen; D Doniach
Journal:  Lancet       Date:  1974-11-30       Impact factor: 79.321

3.  Co-stimulation modulation with abatacept in patients with recent-onset type 1 diabetes: a randomised, double-blind, placebo-controlled trial.

Authors:  Tihamer Orban; Brian Bundy; Dorothy J Becker; Linda A DiMeglio; Stephen E Gitelman; Robin Goland; Peter A Gottlieb; Carla J Greenbaum; Jennifer B Marks; Roshanak Monzavi; Antoinette Moran; Philip Raskin; Henry Rodriguez; William E Russell; Desmond Schatz; Diane Wherrett; Darrell M Wilson; Jeffrey P Krischer; Jay S Skyler
Journal:  Lancet       Date:  2011-06-28       Impact factor: 79.321

Review 4.  Immune intervention in type 1 diabetes.

Authors:  Aaron W Michels; George S Eisenbarth
Journal:  Semin Immunol       Date:  2011-08-17       Impact factor: 11.130

5.  Insulin autoantibodies measured by radioimmunoassay methodology are more related to insulin-dependent diabetes mellitus than those measured by enzyme-linked immunosorbent assay: results of the Fourth International Workshop on the Standardization of Insulin Autoantibody Measurement.

Authors:  C J Greenbaum; J P Palmer; B Kuglin; H Kolb
Journal:  J Clin Endocrinol Metab       Date:  1992-05       Impact factor: 5.958

6.  Diabetes Antibody Standardization Program: first assay proficiency evaluation.

Authors:  Polly J Bingley; Ezio Bonifacio; Patricia W Mueller
Journal:  Diabetes       Date:  2003-05       Impact factor: 9.461

7.  The interaction between different domains of staphylococcal protein A and human polyclonal IgG, IgA, IgM and F(ab')2: separation of affinity from specificity.

Authors:  U K Ljungberg; B Jansson; U Niss; R Nilsson; B E Sandberg; B Nilsson
Journal:  Mol Immunol       Date:  1993-10       Impact factor: 4.407

8.  Distinguishing persistent insulin autoantibodies with differential risk: nonradioactive bivalent proinsulin/insulin autoantibody assay.

Authors:  Liping Yu; Dongmei Miao; Laura Scrimgeour; Kelly Johnson; Marian Rewers; George S Eisenbarth
Journal:  Diabetes       Date:  2011-11-28       Impact factor: 9.461

Review 9.  Through the fog: recent clinical trials to preserve β-cell function in type 1 diabetes.

Authors:  Carla J Greenbaum; Desmond A Schatz; Michael J Haller; Srinath Sanda
Journal:  Diabetes       Date:  2012-06       Impact factor: 9.461

10.  Projections of type 1 and type 2 diabetes burden in the U.S. population aged <20 years through 2050: dynamic modeling of incidence, mortality, and population growth.

Authors:  Giuseppina Imperatore; James P Boyle; Theodore J Thompson; Doug Case; Dana Dabelea; Richard F Hamman; Jean M Lawrence; Angela D Liese; Lenna L Liu; Elizabeth J Mayer-Davis; Beatriz L Rodriguez; Debra Standiford
Journal:  Diabetes Care       Date:  2012-12       Impact factor: 19.112

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  41 in total

1.  Autoantibody profiling on a plasmonic nano-gold chip for the early detection of hypertensive heart disease.

Authors:  Xiaoyang Li; Tatiana Kuznetsova; Nicholas Cauwenberghs; Matthew Wheeler; Holden Maecker; Joseph C Wu; Francois Haddad; Hongjie Dai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

2.  A microfluidic platform with digital readout and ultra-low detection limit for quantitative point-of-care diagnostics.

Authors:  Ying Li; Jie Xuan; Yujun Song; Ping Wang; Lidong Qin
Journal:  Lab Chip       Date:  2015-08-21       Impact factor: 6.799

3.  Molecular imaging of biological systems with a clickable dye in the broad 800- to 1,700-nm near-infrared window.

Authors:  Shoujun Zhu; Qinglai Yang; Alexander L Antaris; Jingying Yue; Zhuoran Ma; Huasen Wang; Wei Huang; Hao Wan; Joy Wang; Shuo Diao; Bo Zhang; Xiaoyang Li; Yeteng Zhong; Kuai Yu; Guosong Hong; Jian Luo; Yongye Liang; Hongjie Dai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

4.  Nitrogen and Boron Dual-Doped Graphene Quantum Dots for Near-Infrared Second Window Imaging and Photothermal Therapy.

Authors:  Hui Wang; Qingxin Mu; Kui Wang; Richard A Revia; Charles Yen; Xinyu Gu; Bowei Tian; Jun Liu; Miqin Zhang
Journal:  Appl Mater Today       Date:  2018-12-06

5.  The development of next-generation screening and diagnostic platforms will change diabetes care.

Authors:  Rajiv B Kumar; Mihir Gupta; Brian J Feldman
Journal:  Expert Rev Mol Diagn       Date:  2015-01-13       Impact factor: 5.225

6.  Competitive volumetric bar-chart chip with real-time internal control for point-of-care diagnostics.

Authors:  Ying Li; Jie Xuan; Tom Xia; Xin Han; Yujun Song; Zheng Cao; Xin Jiang; Yi Guo; Ping Wang; Lidong Qin
Journal:  Anal Chem       Date:  2015-03-18       Impact factor: 6.986

7.  Reliable diagnosis of murine type 1 diabetes using a panel of autoantigens and "antigen surrogates" mounted onto a liquid array.

Authors:  Todd M Doran; Jumpei Morimoto; Scott Simanski; Patrick J McEnaney; Thomas Kodadek
Journal:  Mol Biosyst       Date:  2015-11

8.  Proteoliposome-based full-length ZnT8 self-antigen for type 1 diabetes diagnosis on a plasmonic platform.

Authors:  Hao Wan; Chengfeng Merriman; Mark A Atkinson; Clive H Wasserfall; Kieran M Mcgrail; Yongye Liang; Dax Fu; Hongjie Dai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

9.  Nanoporous Glass Integrated in Volumetric Bar-Chart Chip for Point-of-Care Diagnostics of Non-Small Cell Lung Cancer.

Authors:  Ying Li; Jie Xuan; Yujun Song; Wenjin Qi; Bangshun He; Ping Wang; Lidong Qin
Journal:  ACS Nano       Date:  2015-12-28       Impact factor: 15.881

10.  Plasmonic gold chips for the diagnosis of Toxoplasma gondii, CMV, and rubella infections using saliva with serum detection precision.

Authors:  Xiaoyang Li; Christelle Pomares; François Peyron; Cynthia J Press; Raymund Ramirez; Gonfrier Geraldine; Isabelle Cannavo; Emmanuelle Chapey; Pauline Levigne; Martine Wallon; Jose G Montoya; Hongjie Dai
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-01-30       Impact factor: 3.267

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