Development and validation of a recombinant human TNF-α based ELISA to detect and quantify adalimumab

Adalimumab, a humanized IgG1 monoclonal antibody is currently used to treat inflammatory diseases. However, a sensitive, in-house ELISA for evaluating inter- and intra-individual pharmacokinetic variability of adalimumab remains limited. In this study, an ELISA was developed to measure adalimumab levels, using recombinant human TNF-α (rhTNF-α) as capture antibody. Initially, surface plasma resonance showed acceptable binding kinetics (K<sub>D</sub>) of 2.38x10<sup>-07</sup> nM for adalimumab. Next, a standard curve of adalimumab (1.54 ng/ml to 300 ng/ml), with five quality control points (5.2, 16, 27, 150, and 200 ng/ml) was evaluated for inter and intra-assay accuracy and precision, using serum matrix, by four independent validations. The linear range of the validated assay was 5.2 ng/ml to 200 ng/ml, upper limit of quantification (ULOQ) and lower limit of quantification (LLOQ) were 200 ng/ml and 5.2 ng/ml, respectively. The assay specificity was validated by testing cross-reactivity of rituximab with rhTNF-α, which was found to be non-reactive. Further, the hook effect was over-ruled by diluting the highest concentration of adalimumab tested to assay linear range, and dilution integrity was observed for entire concentrations within linear range (%RE ≤ 20 %), as recommended by European Medicines Agency. Collectively, this rhTNF-α binding-based ELISA method is highly sensitive, reproducible, and useful for monitoring adalimumab.

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Journal
Biochemistry and Biophysics Reports
Published
2025-04-08
DOI
https://doi.org/10.1016/j.bbrep.2025.102005
Citations
1
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
1.67
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article

Development and validation of a recombinant human TNF-α based ELISA to detect and quantify adalimumab

Manjunath S Devaramani, Kiran Kumar Mudnakudu-Nagaraju, Jalahalli M. Siddesha, Syeda Tabassum et al.
1 citations
Biochemistry and Biophysics Reports
Systemic Lupus Erythematosus Research
1.67
article

Development and validation of a recombinant human TNF-α based ELISA to detect and quantify adalimumab

Manjunath S Devaramani, Kiran Kumar Mudnakudu-Nagaraju, Jalahalli M. Siddesha, Syeda Tabassum, Radhakrishna Shetty, Dinesh Kumar Saini, Hemalakshmi Shanmugavel
article en
1 citations

Abstract

Adalimumab, a humanized IgG1 monoclonal antibody is currently used to treat inflammatory diseases. However, a sensitive, in-house ELISA for evaluating inter- and intra-individual pharmacokinetic variability of adalimumab remains limited. In this study, an ELISA was developed to measure adalimumab levels, using recombinant human TNF-α (rhTNF-α) as capture antibody. Initially, surface plasma resonance showed acceptable binding kinetics (K<sub>D</sub>) of 2.38x10<sup>-07</sup> nM for adalimumab. Next, a standard curve of adalimumab (1.54 ng/ml to 300 ng/ml), with five quality control points (5.2, 16, 27, 150, and 200 ng/ml) was evaluated for inter and intra-assay accuracy and precision, using serum matrix, by four independent validations. The linear range of the validated assay was 5.2 ng/ml to 200 ng/ml, upper limit of quantification (ULOQ) and lower limit of quantification (LLOQ) were 200 ng/ml and 5.2 ng/ml, respectively. The assay specificity was validated by testing cross-reactivity of rituximab with rhTNF-α, which was found to be non-reactive. Further, the hook effect was over-ruled by diluting the highest concentration of adalimumab tested to assay linear range, and dilution integrity was observed for entire concentrations within linear range (%RE ≤ 20 %), as recommended by European Medicines Agency. Collectively, this rhTNF-α binding-based ELISA method is highly sensitive, reproducible, and useful for monitoring adalimumab.

Biochemistry and Biophysics ReportsVol. 42
JSS Academy of Higher Education and Research (IN), Institute of Bioinformatics and Applied Biotechnology (IN), Technical University of Denmark (DK)
Zero hunger
Openalex Percentile: Top 19%
Systemic Lupus Erythematosus Research
1.67
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