Literature DB >> 27231720

Magnetic Optical Microarray Imager for Diagnosing Type of Diabetes in Clinical Blood Serum Samples.

Vini Singh1, Cassandra Rodenbaugh1, Sadagopan Krishnan1.   

Abstract

Due to rapidly rising rates of diabetes and prediabetic conditions worldwide and the associated lethal complications, it is imperative to devise new diagnostic tools that reliably and directly measure insulin levels in clinical samples. Herein, we report a simple and sensitive direct imaging of insulin levels in diabetic patient samples using a surface plasmon resonance microarray imager (SPRi). To enhance sensitivity, we utilized magnetic nanoparticles (MNPs) to capture insulin from serum samples either directly or via a capture antibody immobilized on MNPs. The insulin-captured nanoparticles were allowed to bind surface insulin-antibody for detection from pixel intensity increase using a charge coupled device (CCD) built-in with the SPRi. We have compared the analytical figures-of-merit of the SPRi immunoarray on detecting insulin prepared in various percentages of serum solutions. A four parameter logistic model was used to obtain the best fit of microarray responses with insulin concentration and indicated the cooperative binding of insulin-nanoparticle conjugates to surface antibody in both the buffer insulin and the serum insulin conjugates with MNPs. The cooperativity effect is attributed to the greater association of magnetic nanoparticle-bound insulin molecules with increasing concentration of insulin binding to surface antibody. This is the first report of an SPRi immunoarray to accomplish clinical diagnosis of diabetic and prediabetic conditions based on insulin levels with serum matrix effect analysis and comparison between direct and sandwich insulin assay formats.

Entities:  

Keywords:  clinical diagnosis; insulin; magnetic nanoparticles; microarray imager; serum matrix effect; sigmoidal response; surface plasmon resonance; type of diabetes

Year:  2016        PMID: 27231720      PMCID: PMC4877040          DOI: 10.1021/acssensors.5b00273

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  32 in total

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Authors:  Deborah M Muoio; Christopher B Newgard
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Authors:  Jenny Carlsson; Camilla Gullstrand; Gunilla T Westermark; Johnny Ludvigsson; Karin Enander; Bo Liedberg
Journal:  Biosens Bioelectron       Date:  2008-07-19       Impact factor: 10.618

3.  An electrochemical mass sensor for diagnosing diabetes in human serum.

Authors:  Vini Singh; Sadagopan Krishnan
Journal:  Analyst       Date:  2014-02-21       Impact factor: 4.616

4.  Continuous glucose profiles in healthy subjects under everyday life conditions and after different meals.

Authors:  Guido Freckmann; Sven Hagenlocher; Annette Baumstark; Nina Jendrike; Ralph C Gillen; Katja Rössner; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2007-09

5.  Ultrasensitive label free electrical detection of insulin in neat blood serum.

Authors:  Xiliang Luo; Mengyun Xu; Charlotte Freeman; Tim James; Jason J Davis
Journal:  Anal Chem       Date:  2013-03-25       Impact factor: 6.986

6.  Voltammetric immunosensor assembled on carbon-pyrenyl nanostructures for clinical diagnosis of type of diabetes.

Authors:  Vini Singh; Sadagopan Krishnan
Journal:  Anal Chem       Date:  2015-02-23       Impact factor: 6.986

7.  Are specific serum insulin levels low in impaired glucose tolerance and type II diabetes?: measurement with a radioimmunoassay blind to proinsulin, in the population of Wadena, Minnesota.

Authors:  F C Goetz; L R French; W Thomas; R L Gingerich; J P Clements
Journal:  Metabolism       Date:  1995-10       Impact factor: 8.694

8.  The label free picomolar detection of insulin in blood serum.

Authors:  Mengyun Xu; Xiliang Luo; Jason J Davis
Journal:  Biosens Bioelectron       Date:  2012-07-06       Impact factor: 10.618

9.  Silicon multi-nanochannel FETs to improve device uniformity/stability and femtomolar detection of insulin in serum.

Authors:  Suresh Regonda; Ruhai Tian; Jinming Gao; Serena Greene; Jiahuan Ding; Walter Hu
Journal:  Biosens Bioelectron       Date:  2013-02-21       Impact factor: 10.618

Review 10.  Growth hormone, IGF-I and insulin and their abuse in sport.

Authors:  R I G Holt; P H Sönksen
Journal:  Br J Pharmacol       Date:  2008-03-31       Impact factor: 8.739

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  4 in total

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Authors:  Vini Singh; Rajasekhara Nerimetla; Ming Yang; Sadagopan Krishnan
Journal:  ACS Sens       Date:  2017-06-23       Impact factor: 7.711

Review 2.  Electrochemical and surface plasmon insulin assays on clinical samples.

Authors:  Vini Singh; Sadagopan Krishnan
Journal:  Analyst       Date:  2018-03-26       Impact factor: 4.616

3.  Epitope-Resolved Detection of Peanut-Specific IgE Antibodies by Surface Plasmon Resonance Imaging.

Authors:  Min Shen; Amit A Joshi; Raghu Vannam; Chandra K Dixit; Robert G Hamilton; Challa V Kumar; James F Rusling; Mark W Peczuh
Journal:  Chembiochem       Date:  2018-01-04       Impact factor: 3.164

4.  Combined covalent and noncovalent carboxylation of carbon nanotubes for sensitivity enhancement of clinical immunosensors.

Authors:  Jinesh Niroula; Gayan Premaratne; S Ali Shojaee; Don A Lucca; Sadagopan Krishnan
Journal:  Chem Commun (Camb)       Date:  2016-10-27       Impact factor: 6.222

  4 in total

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