Literature DB >> 12117440

Interference in immunoassay is an underestimated problem.

A A A Ismail1, P L Walker, M L Cawood, J H Barth.   

Abstract

The presence of antibodies in some patients' serum has long been known to be a potential source of interference in immunoassays, as shown by numerous case reports. These often appear after the introduction of a new analyte (e.g. troponin) and then decrease in number as the topic becomes exhausted. This highlights the persistent and intrinsic nature of this problem, despite attempts by the manufacturers to compensate for this source of error. However, an explanation of the immunoanalytical basis underpinning these assays could be more effective in raising awareness than intermittent case reports. In this review we have outlined the use of antibodies as reagents, the factors determining how they bind to antigen(s), and the nature of the immune response in order to explain the insidious and unpredictable nature of this form of interference. Studies on the prevalence of interference have yielded values ranging from 0.05 to more than 2%. However, these figures are analyte- and assay-specific, influenced by the study design, and are not therefore generally applicable. It is also highly likely that figures on prevalence and incidence will worsen in the future because of the wider use of monoclonal antibodies as diagnostic and therapeutic tools. Clinical laboratories should be alert to assay interference from antibodies irrespective of its nature, as immunoassays will remain an indispensable analytical tool, unlikely to be replaced in the foreseeable future by a practical alternative.

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Year:  2002        PMID: 12117440     DOI: 10.1258/000456302760042128

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  14 in total

1.  Troponin I, laboratory issues, and clinical outcomes in a district general hospital: crossover study with "traditional" markers of myocardial infarction in a total of 1990 patients.

Authors:  F Jishi; P R Hudson; C P Williams; R P Jones; G K Davies; Z R Yousef; R J Trent; R P W Cowell
Journal:  J Clin Pathol       Date:  2004-10       Impact factor: 3.411

Review 2.  Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Authors:  Jason W Bauer; Hatice Bilgic; Emily C Baechler
Journal:  Nat Rev Rheumatol       Date:  2009-05       Impact factor: 20.543

3.  Generation and characterization of a unique reagent that recognizes a panel of recombinant human monoclonal antibody therapeutics in the presence of endogenous human IgG.

Authors:  Xiangdan Wang; Valerie Quarmby; Carl Ng; Anan Chuntharapai; Theresa Shek; Charles Eigenbrot; Robert F Kelley; Steven Shia; Krista McCutcheon; John Lowe; Cecilia Leddy; Kyle Coachman; Gary Cain; Felix Chu; Isidro Hotzel; Mauricio Maia; Eric Wakshull; Jihong Yang
Journal:  MAbs       Date:  2013-04-29       Impact factor: 5.857

4.  Raised tryptase without anaphylaxis or mastocytosis: heterophilic antibody interference in the serum tryptase assay.

Authors:  R Sargur; D Cowley; S Murng; G Wild; K Green; A Shrimpton; W Egner
Journal:  Clin Exp Immunol       Date:  2011-03       Impact factor: 4.330

5.  Interferences in immunoassay.

Authors:  Jill Tate; Greg Ward
Journal:  Clin Biochem Rev       Date:  2004-05

6.  Prevalence of heterophilic antibodies in serum samples from horses in an equine hospital, and elimination of interference using chicken IgY.

Authors:  Bo Dong; Daniel Bergman; Bodil Ström Holst
Journal:  Acta Vet Scand       Date:  2021-03-12       Impact factor: 1.695

7.  Sample preparation and liquid chromatography-tandem mass spectrometry for multiple steroids in mammalian and avian circulation.

Authors:  Lee Koren; Ella S M Ng; Kiran K Soma; Katherine E Wynne-Edwards
Journal:  PLoS One       Date:  2012-02-27       Impact factor: 3.240

8.  Interpretation of hormone levels in older patients: points for consideration.

Authors:  Krystyna Sztefko; Patrycja Szybowska
Journal:  Int J Endocrinol       Date:  2012-05-14       Impact factor: 3.257

9.  Detecting the immune system response of a 500 year-old Inca mummy.

Authors:  Angelique Corthals; Antonius Koller; Dwight W Martin; Robert Rieger; Emily I Chen; Mario Bernaski; Gabriella Recagno; Liliana M Dávalos
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

10.  A simple set of validation steps identifies and removes false results in a sandwich enzyme-linked immunosorbent assay caused by anti-animal IgG antibodies in plasma from arthritis patients.

Authors:  Tue W Kragstrup; Thomas Vorup-Jensen; Bent Deleuran; Malene Hvid
Journal:  Springerplus       Date:  2013-06-15
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