Article

Letter to the Editor

Ann Lab Med 2024; 44(5): 463-466

Published online April 9, 2024 https://doi.org/10.3343/alm.2023.0468

Copyright © Korean Society for Laboratory Medicine.

Comparison of Target- and IgG-Enrichment Strategies to Measure Adalimumab Concentrations in Human Plasma Using an Immunocapture-Liquid Chromatography-High-Resolution Mass Spectrometry Platform

Xiaoliang Ding , Ph.D.1,2, Shengxiong Zhu , M.Pharm.1,2, Linsheng Liu , Ph.D.1,2, Xiaoxue Liu , Ph.D.1,2, Kouzhu Zhu , Ph.D.1,2, and Liyan Miao, M.D., Ph.D.1,2,3,4

1Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China; 2Institute for Interdisciplinary Drug Research and Translational Sciences, Soochow University, Suzhou, China; 3College of Pharmaceutical Sciences, Soochow University, Suzhou, China; 4National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China

Correspondence to: Liyan Miao, M.D., Ph.D.
Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou 215006, No.899 Pinghai Road, China
E-mail: miaolysuzhou@163.com

Received: November 29, 2023; Revised: February 19, 2024; Accepted: March 19, 2024

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Dear Editor,

Therapeutic drug monitoring of adalimumab is commonly performed using ELISA [1]. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) and LC-high-resolution MS (LC-HRMS) are also popular methods [2]. Target enrichment is typically used to measure pharmacologically active drug concentrations, whereas the IgG-enrichment strategy can provide total drug concentrations. The presence of anti-drug antibodies (ADA), which can lead to the formation of drug–ADA complexes in the circulation, can interfere with the pharmacological effect and drug determination [3]. We investigated potential biases in different enrichment strategies for LC-HRMS, particularly in patients with ADA.

Plasma samples (N=31) were collected from 19 patients with ankylosing spondylitis between September 2021 and May 2023 at the Department of Rheumatology, The First Affiliated Hospital of Soochow University (Suzhou, China). The adalimumab concentrations were above 1 μg/mL as determined using an in-house ELISA [4]. ADA levels were measured using electrochemiluminescence (Meso Scale Discovery, Rockville, MD, USA), as reported [4]. The study was approved by the Ethical Committee of The First Affiliated Hospital of Soochow University (No. 2021-078).

Plasma samples were incubated with immunomagnetic beads and digested with trypsin. In brief, excess magnetic beads (300-nm streptavidin beads; Beaver, Suzhou, China) coupled with biotinylated tumor necrosis factor (TNF)-α (1.5 μg TNF-α/mg beads, a two-fold molar ratio to the upper limit of adalimumab) were added to the samples and incubated for 10 mins [5]. Subsequently, the adalimumab-bound beads were thoroughly washed and denatured in an ammonium bicarbonate solution at 80°C for 30 mins. Then, trypsin (V5117; Promega, Madison, WI, USA) was added at a ratio of 1:20 (enzyme/protein, w/w) for digestion at 60°C for 6 hrs. The reactions were quenched by the addition of formic acid, and the supernatants containing the peptide mixtures were collected.

For the IgG-enrichment procedure, the major modification was the use of excess protein-A beads with a two-fold binding capacity relative to total IgG concentrations (Magrose Protein-A; Beaver) instead of TNF-α beads to capture human IgG from acid-treated plasma [6]. The digested samples were analyzed using LC-HRMS (Q Exactive Plus-Orbitrap LC-MS/MS System, Thermo Fisher Scientific). To identify signature peptides of adalimumab, peptide mapping was performed in the Full MS/ddMS2 mode using the digested mixtures. To confirm specificity and selectivity, quantitative analysis was performed in the parallel reaction monitoring mode. Initially, the commonly used peptide APYTFGQGTK (APY, m/z 535.27→738.37), derived from the light chain, was selected as the signature peptide. However, in the IgG-enrichment strategy, a specific interference at the corresponding retention time of the APY peptide occurred, indicating that an interfering peptide with a similar structure may be present in the immunoglobulin repertoire [7]. The peptide GLEWVSAITWNSGHIDYADSVEGR (GLE, m/z 888.42→1039.98), originating from the heavy chain, exhibited good specificity and sensitivity and was therefore used in the IgG-enrichment strategy. Representative chromatograms are shown in Fig. 1. Adalimumab stable isotope-labeled full-length antibody (MSQC11, Sigma-Aldrich, St. Louis, MO, USA) was used as an internal standard to correct for sample pretreatment and instrumental analysis. Calibration curves were in the range of 0.5–32 μg/mL for target enrichment and 1–32 μg/mL for IgG enrichment. The methods were validated according to the reported criteria [8].

Figure 1. Representative chromatograms of two surrogate peptides from spiked and blank plasma samples. Chromatograms of APY peptide (APYTFGQGTK, A) and SIL-APY peptide (B) in spiked sample (1 μg/mL). Blank chromatograms of APY peptide (C) and SIL-APY peptide (D). Chromatograms of GLE peptide (GLEWVSAITWNSGHIDYADSVEGR, E) and SIL-GLE peptide (F) in spiked sample (1 μg/mL). Blank chromatograms of GLE peptide (G) and SIL-GLE peptide (H). 1 μg/mL of adalimumab and 5 μg/mL of internal standard.
Abbreviations: AA, auto area; ADL, adalimumab; DB, double blank; RT, retention time; SIL, stable isotope-labeled.

Among the 31 samples analyzed, eight were ADA-positive. Passing–Bablok linear regression analysis revealed a strong agreement between the two LC-HRMS assays using different immunocapture methods in the ADA-negative samples (Fig. 2A). For the eight ADA-positive samples, the adalimumab concentrations measured using protein-A enrichment were approximately three times higher than those obtained with TNF-α enrichment (median: 3.03 μg/mL vs. 0.95 μg/mL, P<0.001, Fig. 2B). The difference in concentrations (protein-A/TNF-α ratio) increased with increasing ADA levels (expressed as signal-to-negative ratio) (Fig. 2C). TNF-α immunocapture-LC-HRMS and in-house ELISA results were consistent, regardless of ADA generation, but exhibited proportional bias (Fig. 2D).

Figure 2. Method comparisons for adalimumab quantification. (A) Passing–Bablok regression plot of adalimumab concentrations determined using protein-A immunocapture LC-HRMS and TNF-α immunocapture LC-HRMS in ADA-negative samples represented using open circles (N=23). The red dots represent ADA-positive samples (N=8), and the solid and dashed lines indicate the regression line and confidence interval. (B) Comparison of the adalimumab concentrations obtained using protein-A immunocapture LC-HRMS (left), TNF-α immunocapture LC-HRMS (middle), and in-house ELISA (right) in 8 ADA-positive samples. (C) Scatter plot showing the positive relationship between the ratio of adalimumab concentrations obtained using protein-A enrichment and TNF-α enrichment LC-HRMS and ADA concentration (signal-to-negative ratio). Red line indicates the linear regression line (R2=0.61, P=0.02). (D) Passing–Bablok regression plot of adalimumab concentrations determined using in-house ELISA and TNF-α immunocapture LC-HRMS (N=31).
Abbreviations: ADA, anti-drug antibodies; LC-HRMS, liquid chromatography high-resolution mass spectrometry; NS, not significant; S/N, signal to noise ratio; TNF, tumor necrosis factor.

Protein-A immunocapture-LC-HRMS is applicable to a wide range of IgG-based biologicals [9]. Notably, concentrations in ADA-positive samples may be overestimated when using IgG enrichment. Special attention should be paid to interference by ADA when determining expected active/total concentrations during method development. We observed that spiked ADA interfere with total drug enrichment by forming drug–ADA complexes, and this interference can be addressed by implementing acid pretreatment before immunocapture [6]. A notable dissociation of drug–ADA complexes was observed when quantifying the active drug concentration using the target-enrichment strategy, even with the typically used 1-hr incubation, resulting in the overestimation of active drug concentrations. Optimized rapid extraction (10 mins) is an appropriate means to capture adalimumab with free binding sites [5]. In conclusion, the target-enrichment LC-HRMS assay for adalimumab measurement, quantitatively interchangeable with ELISA, can provide comparable and interpretable results in clinical applications.

Ding X, Zhu S, Miao L contributed to the study conceptualization, data analysis, and manuscript drafting and editing. Ding X, Zhu S, Liu L, and Liu X developed the method. Zhu S and Zhu K carried out the measurements. Miao L reviewed the manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

This work was supported by the National Natural Science Foundation of China (82003857), Key R&D Program of Jiangsu Province (BE2021644), Suzhou Health Leading Talent (GSWS2019 001), the National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University (2020 WSC07), and the Priority Academic Program Development of the Jiangsu Higher Education Institutes (PAPD).

  1. Papamichael K, Afif W, Drobne D, Dubinsky MC, Ferrante M, Irving PM, et al. Therapeutic drug monitoring of biologics in inflammatory bowel disease: unmet needs and future perspectives. Lancet Gastroenterol Hepatol 2022;7:171-85.
    Pubmed CrossRef
  2. EI Amrani M, Donners AAM, Hack CE, Huitema ADR, van Maarseveen EM. Six-step workflow for the quantification of therapeutic monoclonal antibodies in biological matrices with liquid chromatography mass spectrometry - a tutorial. Anal Chim Acta 2019;1080:22-34.
    Pubmed CrossRef
  3. Bartelds GM, Krieckaert CLM, Nurmohamed MT, van Schouwenburg PA, Lems WF, Twisk JW, et al. Development of antidrug antibodies against adalimumab and association with disease activity and treatment failure during long-term follow-up. JAMA 2011;305:1460-8.
    Pubmed CrossRef
  4. Ding X, Zhu R, Wu J, Xue L, Gu M, Miao L. Early adalimumab and anti-adalimumab antibody levels for prediction of primary nonresponse in ankylosing spondylitis patients. Clin Transl Sci 2020;13:547-54.
    Pubmed KoreaMed CrossRef
  5. Jordan G, Onami I, Heinrich J, Staack RF. Evaluation of the potential use of hybrid LC-MS/MS for active drug quantification applying the 'free analyte QC concept'. Bioanalysis 2017;9:1705-17.
    Pubmed CrossRef
  6. Iwamoto N, Hamada A, Shimada T. Antibody drug quantitation in coexistence with anti-drug antibodies on nSMOL bioanalysis. Anal Biochem 2018;540-1:30-7.
    Pubmed CrossRef
  7. Tron C, Lemaitre F, Bros P, Goulvestre C, Franck B, Mouton N, et al. Quantification of infliximab and adalimumab in human plasma by a liquid chromatography tandem mass spectrometry kit and comparison with two ELISA methods. Bioanalysis 2022;14:831-44.
    Pubmed CrossRef
  8. Jenkins R, Duggan JX, Aubry AF, Zeng J, Lee JW, Cojocaru L, et al. Recommendations for validation of LC-MS/MS bioanalytical methods for protein biotherapeutics. AAPS J 2015;17:1-16.
    Pubmed KoreaMed CrossRef
  9. Willeman T, Jourdil JF, Gautier-Veyret E, Bonaz B, Stanke-Labesque F. A multiplex liquid chromatography tandem mass spectrometry method for the quantification of seven therapeutic monoclonal antibodies: application for adalimumab therapeutic drug monitoring in patients with Crohn's disease. Anal Chim Acta 2019;1067:63-70.
    Pubmed CrossRef