Multi-center Performance Evaluations of Tacrolimus and Cyclosporine Electrochemiluminescence Immunoassays in the Asia-Pacific Region

Point-of-Care Diagnostics: Molecularly Imprinted Polymers and Nanomaterials for Enhanced Biosensor Selectivity and Transduction

Significant healthcare disparities resulting from personal wealth, circumstances of birth, education level, and more are internationally prevalent. As such, advances in biomedical science overwhelmingly benefit a minority of the global population. Point-of-Care Testing (POCT) can contribute to societal equilibrium by making medical diagnostics affordable, convenient, and fast. Unfortunately, conventional POCT appears stagnant in terms of achieving significant advances. This is attributed to the high cost and instability associated with conventional biorecognition: primarily antibodies, but nucleic acids, cells, enzymes, and aptamers have also been used. Instead, state-of-the-art biosensor researchers are increasingly leveraging molecularly imprinted polymers (MIPs) for their high selectivity, excellent stability, and amenability to a variety of physical and chemical manipulations. Besides the elimination of conventional bioreceptors, the incorporation of nanomaterials has further improved the sensitivity of biosensors. Herein, modern nanobiosensors employing MIPs for selectivity and nanomaterials for improved transduction are systematically reviewed. First, a brief synopsis of fabrication and wide-spread challenges with selectivity demonstration are presented. Afterward, the discussion turns to an analysis of relevant case studies published in the last five years. The analysis is given through two lenses: MIP-based biosensors employing specific nanomaterials and those adopting particular transduction strategies. Finally, conclusions are presented along with a look to the future through recommendations for advancing the field. It is hoped that this work will accelerate successful efforts in the field, orient new researchers, and contribute to equitable health care for all.

Evaluation of the first immunosuppressive drug assay available on a fully automated LC-MS/MS-based clinical analyzer suggests a new era in laboratory medicine

OBJECTIVES

Due to its high specificity, liquid chromatography-tandem mass spectrometry (LC-MS/MS) is considered the gold standard in diagnostic areas such as therapeutic monitoring of immunosuppressive drugs (ISDs). However, many laboratories still rely on immunoassays for ISD quantification in a tradeoff between analytical performance and the advantages of fully automated analyzers - shorter turnaround times, greater ease of use, and 24/7 availability.

METHODS

The LC-MS/MS-based Thermo Scientific™ Cascadion™ SM Immunosuppressant Panel was evaluated for >6 months in the routine laboratory of a university hospital. We assessed the analytical performance of the panel and compared it to conventional LC-MS/MS as well as to immunoassays (cyclosporine A, sirolimus, tacrolimus (Siemens) and everolimus (Thermo Fisher)). In addition, both ISD panel and Cascadion analyzer were scrutinized with regards to, e.g., turnaround time, usability, and robustness.

RESULTS

All ISDs showed high linearity and precision (CV≤6%) and a good correlation with conventional LC-MS/MS. The mean deviation to the immunoassays was 17-19% and negative for all ISDs except everolimus with a positive 19% bias. No weak points were revealed when challenging assay and system with, e.g., high haematocrit, sedimented whole blood or priority samples. The Cascadion integrated well into our 24/7 routine and could easily be operated simultaneously with several other analyzers by technical staff without LC-MS experience.

CONCLUSIONS

The ISD panel showed excellent analytical performance and demonstrated that a fully automated LC-MS-based analysis starting from primary samples is feasible, suggesting that LC-MS could become an integral part of 24/7 diagnostics in the near future.

Laboratory Monitoring of Biological Therapies in Rheumatology: The Role of Immunogenicity

Biological drugs, such as proteins and immunogens, are increasingly used to treat various diseases, including tumors and autoimmune diseases, and biological molecules have almost completely replaced synthetic drugs in rheumatology. Although biological treatments such as anti-tumor necrosis factor (TNF) drugs seem to be quite safe, they cause some undesirable effects, such as the onset of infections due to weakening of the immune system. Given the biological nature of these drugs, they might be recognized as extraneous; this would induce an immune reaction that neutralizes their effectiveness or lead to more serious consequences. Laboratories play a pivotal role in appropriate therapeutic management. The aim of this review was to underline the production of anti-drug antibodies during treatment with biological drugs and highlight the role of laboratories in ensuring appropriate use of these drugs.

Multicenter-Based Population Pharmacokinetic Analysis of Ciclosporin in Hematopoietic Stem Cell Transplantation Patients

PURPOSE

To explore the contribution of physiological characteristics to variability in ciclosporin pharmacokinetics in hematopoietic stem cell transplantation patients.

METHODS

Clinical data from 563 patients were collected from centers in three regions. Ciclosporin concentrations were measured using immunoassays. The patients' demographics, hematological and biological indicators, coadministered drugs, region, and disease diagnosis were recorded from medical records. Data analysis was performed using NONMEM based on a one-compartment model to describe the pharmacokinetics of ciclosporin. The reliability and stability of the final model were evaluated using bootstrap resampling, goodness-of-fit plots, and prediction-corrected visual predictive checks.

RESULTS

The population estimate of the clearance (CL) was 30.4 L/h, the volume of distribution (V) was 874.0 L and the bioavailability (F) was 81.1%. The between-subject variability in these parameters was 26.3, 68.0, and 110.8%, respectively. Coadministration of fluconazole, itraconazole, or voriconazole decreased CL by 17.6%, 28.4%, and 29.2%, respectively. Females' CL increased by approximately 12.0%. In addition, CL and V decreased with hematocrit, total protein, and uric acid increase, and CL also decreased with age and aspartate aminotransferase increase. However, CL increased with creatinine clearance increase.

CONCLUSIONS

A multicenter-based population pharmacokinetic model of ciclosporin was established. The pharmacokinetics of ciclosporin exhibited discrepancies among different regions.

Comparison of 4 Commercial Immunoassays Used in Measuring the Concentration of Tacrolimus in Blood and Their Cross-Reactivity to Its Metabolites

BACKGROUND

Therapeutic drug monitoring of tacrolimus is necessary for appropriate dose adjustment for a successful immunosuppressive therapy. Several commercial immunoassays are available for tacrolimus measurements. This study aimed at simultaneously evaluating the analytical performances of 4 such immunoassays, using liquid chromatography-tandem mass spectrometry (LC-MS/MS) as a standard. For the first time, cross-reactivity to tacrolimus metabolites was assessed at concentrations frequently observed in clinical settings, as opposed to the higher concentrations tested by assay manufacturers.

METHODS

An affinity column-mediated immunoassay (ACMIA), using upgraded flex reagents; released in 2015, a chemiluminescence immunoassay (CLIA), an electrochemiluminescence immunoassay (ECLIA), and a latex agglutination turbidimetric immunoassay (LTIA) were evaluated using frozen whole blood samples collected from transplantation patients. Cross-reactivities to 3 major tacrolimus metabolites (13-O-demethyl-tacrolimus [M-I], 31-O-demethyl-tacrolimus [M-II], and 15-O-demethyl-tacrolimus [M-III]) were evaluated.

RESULTS

Each immunoassay correlated well with LC-MS/MS, and the Pearson's correlation coefficients (R) were 0.974, 0.977, 0.978, and 0.902 for ACMIA, CLIA, ECLIA, and LTIA, respectively. Using Bland-Altman difference plots to compare the immunoassays with LC-MS/MS, the calculated average biases were -6.73%, 6.07%, 7.46%, and 12.27% for ACMIA, CLIA, ECLIA, and LTIA, respectively. The cross-reactivities of ACMIA to the tacrolimus metabolites M-II and M-III were 81% and 78%, respectively, when blood was spiked at 2 ng/mL, and 94% and 68%, respectively, when it was spiked at 5 ng/mL.

CONCLUSIONS

Each immunoassay was useful, but had its own characteristics. ACMIA cross-reactivities to M-II and M-III were much higher than the respective 18% and 15% reported on its package insert, suggesting that cross-reactivity should be examined at clinically relevant concentrations.