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Enzyme immunoassay for intact human insulin in serum or plasma

Andersen, L, Dinesen, B, Jørgensen, P N, Poulsen, F, Røder, M E·1993·Clinical Chemistry

Abstract

We describe an enzyme-linked two-site immunoassay for quantitation of intact insulin in human serum and plasma. The method uses two murine monoclonal antibodies that bind to two different epitopes on the insulin molecule. The immunoassay is specific. Human proinsulin is not bound by the antibodies, and the binding of partially processed proinsulin intermediates is believed to be of minor clinical importance. The relative response of human, bovine, and porcine insulin is 1, 1, and 3, respectively. The assay is sensitive (detection limit 5 pmol/L), accurate (101% recovery with 50 pmol/L insulin added to samples, 95% with 100 pmol/L, and 89% with 300 pmol/L), and fast (results within 3 h), and has a high analytical capacity (done in microtiter plates). The working assay range selected is 5-600 pmol/L, corresponding to a clinically useful range. Because of its specificity, this two-site immunoassay gives results that are lower than those obtained by using a competitive radioimmunoassay, both in normal individuals and in non-insulin-dependent diabetics.

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Metadata

Authors
Andersen, L., Dinesen, B., Jørgensen, P. N., Poulsen, F., & Røder, M. E.
Venue
Clinical Chemistry
Published
1993-04-01
Volume
39
Issue
4
Pages
578-582
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W2150121392
Cited by
520
References
0
FWCI
7.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enzyme immunoassay for intact human insulin in serum or plasma. https://app.cochat.ai/papers/10.1093/clinchem/39.4.578
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Andersen, L., Dinesen, B., Jørgensen, P. N., Poulsen, F., & Røder, M. E. (1993). Enzyme immunoassay for intact human insulin in serum or plasma. Clinical Chemistry. https://doi.org/10.1093/clinchem/39.4.578

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.