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J Biopharm Stat. 2015 May 26. [Epub ahead of print]
An Improved Method for Estimating Antibody Titers in Microneutralization Assay Using Green Fluorescent Protein.
Yang H1, Baker SF, Gonz?lez ME, Topham DJ, Mart?nez-Sobrido L, Zand M, Holden-Wiltse J, Wu H.
Author information
Abstract
Viruses that express reporter genes upon infection have been recently used to evaluate neutralizing antibody responses, where a lack of reporter expression indicates specific virus inhibition. The traditional model-based methods using standard outcome of percent neutralization could be applied to the data from the assays to estimate antibody titers. However, the data produced is sometimes irregular, which can yield meaningless outcomes of percent neutralization that do not fit the typical curves for immunoassays, making automated or semi-high throughput antibody titer estimation unreliable. We developed a type of new outcomes model, which is biologically meaningful and fits typical immunoassay curves well. Our simulation study indicates that the new response approach outperforms the traditional response approach regardless of the data variability. The proposed new response approach can be used in similar assays for other disease models.
KEYWORDS:
antibody-mediated virus inhibition; four-parameter logistic regression; green fluorescent protein (GFP); hemagglutinin (HA); influenza virus; microneutralization assay; neutralizing antibodies; nonlinear maximization
PMID: 26010892 [PubMed - as supplied by publisher]
An Improved Method for Estimating Antibody Titers in Microneutralization Assay Using Green Fluorescent Protein.
Yang H1, Baker SF, Gonz?lez ME, Topham DJ, Mart?nez-Sobrido L, Zand M, Holden-Wiltse J, Wu H.
Author information
Abstract
Viruses that express reporter genes upon infection have been recently used to evaluate neutralizing antibody responses, where a lack of reporter expression indicates specific virus inhibition. The traditional model-based methods using standard outcome of percent neutralization could be applied to the data from the assays to estimate antibody titers. However, the data produced is sometimes irregular, which can yield meaningless outcomes of percent neutralization that do not fit the typical curves for immunoassays, making automated or semi-high throughput antibody titer estimation unreliable. We developed a type of new outcomes model, which is biologically meaningful and fits typical immunoassay curves well. Our simulation study indicates that the new response approach outperforms the traditional response approach regardless of the data variability. The proposed new response approach can be used in similar assays for other disease models.
KEYWORDS:
antibody-mediated virus inhibition; four-parameter logistic regression; green fluorescent protein (GFP); hemagglutinin (HA); influenza virus; microneutralization assay; neutralizing antibodies; nonlinear maximization
PMID: 26010892 [PubMed - as supplied by publisher]