Diagnostic pitfalls in assessment of ferritin following CAR-T-cell therapy: Understanding the hook effect.

The hook effect is a well-described but clinically underappreciated immunoassay interference, where a falsely lowered result is caused by analyte excess. We describe a situation in which ferritin immunoassay results from a 27-year-old female with immune effector cell-associated hemophagocytic lymphohistiocytosis-like syndrome were more than 1000 times lower at a reference laboratory than those determined in-house after dilution. This case underscores the importance for clinical care providers to be aware of the impact of the hook effect on ferritin measurements, and to promptly communicate with the laboratory when there are discrepancies between clinical symptoms and test results.

Experimental design for the development of a multiplex antigen lateral flow immunoassay detecting the Southern African Territory (SAT) serotypes of foot-and-mouth disease virus.

Antigenic lateral flow immunoassays (LFIAs) rely on the non-competitive sandwich format, including a detection (labelled) antibody and a capture antibody immobilised onto the analytical membrane. When the same antibody is used for the capture and the detection (single epitope immunoassay), the saturation of analyte epitopes by the probe compromises the capture and lowers the sensitivity. Hence, several factors, including the amount of the probe, the antibody-to-label ratio, and the contact time between the probe and the analyte before reaching the capture antibody, must be adjusted. We explored different designs of experiments (full-factorial, optimal, sub-optimal models) to optimise a multiplex sandwich-type LFIA for the diagnosis and serotyping of two Southern African Territory (SAT) serotypes of the foot-and-mouth disease virus, and to evaluate the reduction of the number of experiments in the development. Both assays employed single epitope sandwich, so most influencing variables on the sensitivity were studied and individuated. We upgraded a previous device increasing the sensitivity by a factor of two and reached the visual limit of detection of 103.7 and 104.0 (TCID/mL) for SAT 1 and SAT 2, respectively. The positioning of the capture region along the LFIA strip was the most influent variable to increase the detectability. Furthermore, we confirmed that the 13-optimal DoE was the most convenient approach for designing the device.

Prolactin immunoassay: does the high-dose hook effect still exist?

PURPOSE: Measurement of prolactin in clinical laboratories is an important component in the management of patients with pituitary adenoma. Prolactin measurement is known to be sensitive to the high-dose hook effect, in the presence of extremely high prolactin concentrations. This interference is referred to in most recent articles discussing prolactin assays and the management of prolactin-secreting pituitary adenomas. The objective of our study was to evaluate if the high-dose hook effect remains relevant in current practice, when using currently available assays. METHODS: Serum from a patient with a giant macroprolactinoma was assayed using all of the available prolactin assays in France in 2020, using native serum and after dilution. Technical inserts from assays were reviewed to assess the information on analytical principles, numbers of steps, and any reference to high dose hook effect. RESULTS: Fourteen assay kits were studied by 16 laboratories; all were two-site immunometric assays, mostly using one step (11/14). Results obtained after dilution varied from 17,900 µg/L to 86,900 µg/L depending on the assay used. One tested assay was sensitive to the high-dose hook effect leading to a falsely lower prolactin concentration when measuring native serum (150 µg/L compared to 17,900 µg/L after dilution). CONCLUSION: The high-dose hook effect still exists in a very small minority of prolactin assays. The evolution of assay methods may lead to new assays that remain sensitive to this effect in the future. We therefore advise that the hook effect should still be mentioned in prolactin assay recommendations.

Biochemical diagnosis in prolactinomas: some caveats.

Prolactinomas are the most frequently seen pituitary adenomas in clinical practice. A correct biochemical diagnosis of hyperprolactinemia is a prerequisite for further investigation but may be hampered by analytical difficulties as well as a large number of potentially overlapping conditions associated with increased prolactin levels. Suspicion should rise in patients whose symptoms and biochemical results do not match. Assay problems, macroprolactinemia, and high-dose hook effect are discussed as possible reasons for false positive or false negative prolactin levels. Physiological and pathological causes of hyperprolactinemia and their implications for interpreting prolactin results are reviewed.

A fast and reliable test for parallelism in bioassay.

Parallelism in bioassay is a synonym of similarity between two concentration-response curves. Before the determination of relative potency in bioassays, it is necessary to test for and claim parallelism between the pair of concentration-response curves of reference standard and test sample. Methods for parallelism testing include p-value-based significance tests and interval-based equivalence tests. Most of the latter approaches make statistical inference about the equivalence of parameters of the concentration-response curve models. An apparent drawback of such methods is that equivalence in model parameters does not guarantee similarity between the reference and test sample. In contrast, a Bayesian method was recently proposed that directly tests the parallelism hypothesis that the concentration-response curve of the test sample is a horizontal shift of that of the reference. In other words, the testing sample is a dilution or concentration of the reference standard. The Bayesian approach is shown to protect against type I error and provides sufficient statistical power for parallelism testing. In practice, however, it is challenging to implement the method as it requires both specialized Bayesian software and a relatively long run time. In this paper, we propose a frequentist version of the test with split-second run time. The empirical properties of the frequentist parallelism test method are evaluated and compared with the original Bayesian method. It is demonstrated that the frequentist method is both fast and reliable for parallelism testing for a variety of concentration-response models.

Development of a paper-based lateral flow immunoassay for simultaneous detection of lipopolysaccharides of Salmonella serovars.

Lateral flow type detection is becoming interesting not only in regions with a poor medical infrastructure but also for practitioners in day-to-day clinical work or for veterinary control in case of possible epidemics. In this work, we describe the first steps of development of a multi-channel strip with potential internal calibration of multiparametric and colorimetric lateral flow assays for the simultaneous detection of the lipopolysaccharides (LPS) of Salmonella typhimurium (S. typhimurium) and Salmonella enteritidis (S. enteritidis). We structured four channels in the nitrocellulose membrane with a Yb:KGW solid-state femtosecond laser ("cold" ablation process) to form distinct tracks of porous material and used gold nanoparticles for the labeling of the antibodies. In addition, calibration curves of the spot intensities of both serovars are presented, and it was shown that no cross reactivity between the different capture antibodies and LPS occurred. Finally, we detected LPS of both Salmonella serovars simultaneously. The color changes (spot intensities of the reaction zones) were evaluated using the open-source image-processing program ImageJ. Graphical abstract Multiparametric testing, strip A was tested with LPS S. enteritidis ( c=0.01 g/L) and LPS S.typhimurium ( c=0.0001 g/L), strip B with LPS S. enteritidis ( c=0.001 g/L) and LPS S. typhimurium ( c=0.001g/L) and strip C with LPS S. enteritidis (c=0.0001 g/L) and LPS S. typhimurium ( c=0.01 g/L), and read-out.

Significance of pregnancy test false negative results due to elevated levels of ß-core fragment hCG.

Very high levels of ß-core fragment human chorionic gonadotrophin (ßcf-hCG) are reported to potentially cause false negative results in point-of-care (POC)/over-the-counter (OTC) pregnancy tests. To investigate this further, women's daily early morning urine samples, collected prior to conception and during pregnancy, were analysed for intact, free ß-, and ßcf-hCG. The proportion of ßcf-hCG was found to be related to that of hCG produced and in circulation. Therefore, best practice for accuracy testing of POC/OTC pregnancy tests would be to test devices against clinical samples containing high levels of ßcf-hCG as well as standards spiked with biologically relevant ratios.

A Critical Approach to Clinical Biochemistry of Chromogranin A.

Chromogranin A (CGA) is a member of the granin family of proteins which are widespread in endocrine, neuroendocrine, peripheral, and central nervous tissues, where they are typically found in secretory granules. It is well accepted that CGA cooperates to regulate synthesis and secretion of these various granule signaling molecules.Because of its ubiquitous distribution within neuroendocrine tissues, CGA can be a useful diagnostic marker for neuroendocrine neoplasms, including carcinoids, pheochromocytomas, neuroblastomas, medullary thyroid carcinomas (MTC), some pituitary tumors, functioning and nonfunctioning islet cell tumors and other amine precursor uptake and decarboxylation (APUD) tumors. It is also useful as a prognostic marker for detection of recurrence and monitoring of response to different treatments. As other tumor markers, it is imperative to know its physiology and pathophysiology, its sensitivity and specificity in different neuroendocrine tumors (NETs), and carefully integrate these data with the clinical data of the single patient, to maximize its diagnostic/prognostic index.

Single monoclonal spike characterized as double monoclonal gammopathy in a patient with multiple myeloma: A rare finding.

Multiple myeloma (MM) is associated with the secretion of a unique monoclonal protein (M-protein) due to overproduction of immunoglobulin (Ig) by a clone of abnormally proliferating plasma cells. However, in 4% of the cases more than one M-protein can be found. This category of gammopathies is called "double monoclonal gammopathies." Here, we present a rare case of MM with double monoclonal gammopathy, where the presence of both M-proteins was observed in the single sharp peak on capillary zone electrophoresis (CZE). Further the interference of Hook effect is also discussed. Double monoclonal gammopathies need to be identified to increase diagnostic accuracy and reliability, and to get a better understanding of the disease pathogenesis and progression.

Double trouble: Unmasking two hook effects on Siemens Atellica® - Total PSA and total hCG assays.

The "hook effect" or "prozone phenomenon" occurs when the concentration of a particular analyte saturates the antibodies used in the test, resulting in falsely low or negative results despite the presence of high analyte concentrations. We report two recent cases of hook effect encountered with a widely used immunoassay analyzer, the Siemens Atellica® IM1600. The first case involves a patient with advanced metastatic prostate cancer whose total PSA (tPSA) concentration dropped dramatically from his last biological control. The second case concerns a pregnant woman whose total HCG (ThCG) levels were also subject to the hook effect and who was found to have a molar pregnancy. In both cases, a dilution step enabled to overcome this analytical concern and to obtain a correct result. In addition, a comparison of the sensitivity of different immunoassay analyzers to this phenomenon was carried out. To avoid this analytical error, an additional dilution step should automatically be performed when there is a clinical suspicion of elevated levels of tumor or hormone markers. Finally, the most affected manufacturers should adapt their assays, accordingly.

Diagnosis of hyperprolactinemia in women: A Position Statement from the Brazilian Federation of Gynecology and Obstetrics Associations (Febrasgo) and the Brazilian Society of Endocrinology and Metabolism (SBEM).

Hyperprolactinemia is a frequent cause of menstrual irregularity, galactorrhea, hypogonadism, and infertility. The most common etiologies of hyperprolactinemia can be classified as physiological, pharmacological, and pathological. Among pathological conditions, it is essential to distinguish prolactinomas from other tumors and pituitary lesions presenting with hyperprolactinemia due to pituitary stalk disconnection. Proper investigation considering clinical data, laboratory tests, and, if necessary, imaging evaluation, is important to identify the correctcause of hyperprolactinemia and manage the patient properly. This position statement by the Brazilian Federation of Gynecology and Obstetrics Associations (Febrasgo) and Brazilian Societyof Endocrinology and Metabolism (SBEM) addresses the recommendations for measurement of serum prolactin levels and the investigations of symptomatic and asymptomatic hyperprolactinemia and medication-induced hyperprolactinemia in women.

Hook-effect in MAGLUMI immunoassay for serum anti-GAD antibodies in neurological disorders: When "wrong" matrix is the right choice.

Antibodies against glutamic acid decarboxylase (anti-GAD) are a valuable diagnostic tool to detect severe autoimmune conditions as type 1 diabetes mellitus (T1DM) and anti-GAD related neurological disorders, having the latter more often anti-GAD concentrations in serum multiple times higher than in the former. Automated immunoassays, either with ELISA or chemiluminescent technology, are validated for diagnostic use in serum with analytical ranges suitable for T1DM diagnosis. In a patient presenting with a suspected autoimmune ataxia, anti-GAD testing on an automated chemiluminescent immunoassay (CLIA) resulted in slightly abnormal concentrations in serum (39.2 KIU/L) and very high concentrations in CSF (>280 KIU/L), thus prompting to proceed to serum dilutions to exclude a false negative result and a misdiagnosis. Different dilutions of serum resulted in nonlinear concentrations with endpoint result of 276,500 KIU/L at dilution 1:1000. CSF dilution was instead linear with endpoint result of 4050 KIU/L. In this case report we found that anti-GAD testing in CSF was essential to establish the clinical diagnosis and to suspect hook-effect in serum due to the excess of autoantibodies in this severe autoimmune condition.

The Hook Effect: A Case Study of a Giant Invasive Prolactinoma With Falsely Low Serum Prolactin.

Prolactinomas are benign pituitary tumors also known as prolactin-secreting adenomas (PSA). These tumors cause excessive secretion of prolactin (hyperprolactinemia), a hormone responsible for lactation. Diagnosing hyperprolactinemia relies on measuring prolactin levels in the blood, and elevated serum levels of prolactin are typically indicative of prolactinoma. The hook effect occurs in immunological tests such as the prolactin level test. When the amount of prolactin present in the sample is too high and exceeds the binding capacity of the antibodies being used, the test result may indicate falsely low levels of prolactin, which is the hook effect. The present study describes the case of a male patient who presented with neck pain and difficulty swallowing. MRI revealed a giant (>40mm) extradural tumor affecting the clivus, anterior fossa, pterygopalatine, and bilateral infratemporal fossae as well as the petrous apex and bilateral cavernous sinuses. Endocrinological investigation yielded no specific abnormalities. An occipitocervical fixation (arthrodesis) was proposed with simultaneous extended endoscopic endonasal resection. Surgery succeeded in resecting a portion of the clival tumor and the anterior fossa. Measurement of prolactin levels several weeks post-surgery found them to be extremely high, confirming the hook effect.

Development of molecular and antigenic-based rapid tests for the identification of African swine fever virus in different tissues.

African swine fever (ASF) is a severe haemorrhagic infectious disease affecting suids, thus representing a great economic concern. Considering the importance of the early diagnosis, rapid point of care testing (POCT) for ASF is highly demanded. In this work, we developed two strategies for the rapid onsite diagnosis of ASF, based on Lateral Flow Immunoassay (LFIA) and Recombinase Polymerase Amplification (RPA) techniques. The LFIA was a sandwich-type immunoassay exploiting a monoclonal antibody directed towards the p30 protein of the virus (Mab). The Mab was anchored onto the LFIA membrane to capture the ASFV and was also labelled with gold nanoparticles for staining the antibody-p30 complex. However, the use of the same antibody for capturing and as detector ligand showed a significant competitive effect for antigen binding, so required an experimental design to minimize reciprocal interference and maximize the response. The RPA assay, employing primers to the capsid protein p72 gene and an exonuclease III probe, was performed at 39 °C. The limit of detection of the method was assessed using a plasmid encoding the target gene and resulted in 5 copy/µL. The new LFIA and RPA were applied for ASFV detection in the animal tissues usually analysed by conventional assays (i.e., real-time PCR), such as kidney, spleen, and lymph nodes. A simple and universal virus extraction protocol was applied for sample preparation, followed by DNA extraction and purification for the RPA. The LFIA only required the addition of 3% H2O2 to limit matrix interference and prevent false positive results. The two rapid methods (25 min and 15 min were needed to complete the analysis for RPA and LFIA, respectively) showed high diagnostic specificity (100%) and sensitivity (93% and 87% for LFIA and RPA, respectively) for samples with high viral load (Ct < 27). False negative results were observed for samples with low viral load (Ct > 28) and/or also containing specific antibodies to ASFV, which decreased antigen availability and were indicative of a chronic, poorly transmissible infection. The simple and rapid sample preparation and the diagnostic performance of the LFIA suggested its large practical applicability for POC diagnosis of ASF.

Development of carbon nanoparticles-based soluble solid-phase immune sensor for the quantitative diagnosis of inflammation.

Quantitative immunodiagnosis is one of the most commonly used methods for in vitro diagnostics. Various bioanalytical methods have been developed to quantitatively diagnose immune analytes; however, they require blood dilution pretreatment, reaction mixing, complicated experimental steps, and can cause diagnostic errors due to the hook effect. To address this issue, we introduced a simple immunoassay based on carbon nanoparticles (CNPs). The assay was designed to have high flexibility for use in various in vitro diagnostic devices by constructing a soluble solid-phase immune sensor with high solubility using antibody-conjugated CNPs and polymer materials. Excellent performance was achieved using a free-antibody system with dual calibration. To verify the performance of this method with high reliability, canine C-reactive protein was selected as the immune analyte. Interestingly, our method efficiently mitigated the hook effect with outstanding performance in a one-step reaction without blood dilution or reaction mixing. The detection range of the target can be effectively controlled using free antibodies. Therefore, our CNP-based immunodiagnosis method may advance the commercialization of point-of-care immune biosensors.

A Mechanistic Pharmacodynamic Modeling Framework for the Assessment and Optimization of Proteolysis Targeting Chimeras (PROTACs).

The field of targeted protein degradation is growing exponentially. Yet, there is an unmet need for pharmacokinetic/pharmacodynamic models that provide mechanistic insights, while also being practically useful in a drug discovery setting. Therefore, we have developed a comprehensive modeling framework which can be applied to experimental data from routine projects to: (1) assess PROTACs based on accurate degradation metrics, (2) guide compound optimization of the most critical parameters, and (3) link degradation to downstream pharmacodynamic effects. The presented framework contains a number of first-time features: (1) a mechanistic model to fit the hook effect in the PROTAC concentration-degradation profile, (2) quantification of the role of target occupancy in the PROTAC mechanism of action and (3) deconvolution of the effects of target degradation and target inhibition by PROTACs on the overall pharmacodynamic response. To illustrate applicability and to build confidence, we have employed these three models to analyze exemplary data on various compounds from different projects and targets. The presented framework allows researchers to tailor their experimental work and to arrive at a better understanding of their results, ultimately leading to more successful PROTAC discovery. While the focus here lies on in vitro pharmacology experiments, key implications for in vivo studies are also discussed.

ELISA Essentials: Surfaces, Antibodies, Enzymes, and Substrates.

The enzyme-linked immunosorbent assay is a powerful analytical tool for the assessment of the kind and quantity of specific analytes found within a biological sample. It is based upon the exceptional specificity of antibody recognition of its cognate antigen and the power of enzyme-mediated signal amplification for sensitivity. However, development of the assay is not without challenges. Here, we describe the essential components and features necessary to successfully prepare and carry out the ELISA format.

Interference in ELISA.

ELISA is a well-established technique used worldwide to quantify analytes present in a diverse milieu of biological samplings. It is especially important to clinicians who rely on the accuracy and precision of the test to administer patient care. Those results are to be held with great scrutiny since the assay is subject to error caused by interfering substances found in the sample matrix. In this chapter, we examine the nature of such interferences and discuss approaches to identify and offer remedies to remove the interference and validate the assay.