Background: PF-06687234 is a novel, human, single-chain variable fragment cytokine fusion protein comprising the antibody fragment F8 and the immunoregulatory cytokine interleukin-10. Objectives: We evaluated the efficacy and safety of PF-06687234 as an add-on therapy to infliximab in participants with active ulcerative colitis (UC). Design: This phase IIa, double-blind, placebo-controlled, parallel-group, multicenter study randomized (1:1) participants with active UC to subcutaneous PF-06687234 20 mg or placebo once weekly, and participants continued intravenous background infliximab every 6 or 8 weeks, for 12 weeks. Methods: The primary endpoint was the proportion of participants who achieved clinical remission determined by the modified total Mayo score at week 12. Safety assessments, including adverse event (AE) reporting and laboratory abnormalities, were also primary endpoints. Secondary endpoints included the proportion of participants achieving endoscopic improvement at week 12, and exploratory endpoints included the concentration of PF-06687234 in colonic mucosal tissue from biopsies. Results: After 20 participants were randomized and treated, this study was stopped early for futility. There were no statistically significant differences between groups for any efficacy endpoint (all p > 0.05), although numerical trends towards efficacy were observed in some secondary endpoints. PF-06687234 was detected at a low concentration in only one colon tissue sample. There were no differences in AEs between the groups. The most frequently reported AE in the PF-06687234-treated group was injection site reaction. Conclusion: PF-06687234 was well tolerated, but when combined with background infliximab, did not meet the primary efficacy endpoint in this cohort of participants with active UC. Efficacious PF-06687234 tissue concentrations may not have been achieved at the dose tested. Trail registration: Efficacy, safety, and tolerability of PF-06687234 as add-on therapy to infliximab in active UC subjects not in remission. https://clinicaltrials.gov/study/NCT03269695. NCT03269695.

Adeno-associated virus (AAV)-based gene replacement therapies in Duchenne muscular dystrophy (DMD) aim to restore dystrophin function via the introduction of micro- or mini-dystrophins. We report dystrophin and mini-dystrophin concentrations generated by immunoaffinity liquid chromatography–tandem mass spectrometry (IA-LC-MS/MS) in skeletal muscle biopsies from ambulatory participants with DMD in a phase 1b study of fordadistrogene movaparvovec, an AAV9-based gene replacement construct. The assay performed robustly for 26 months, as demonstrated by limited variability in calibration standards for peptides LLQV (dystrophin and mini-dystrophin) and LEMP (mini-dystrophin only), quality control samples consisting of spiked mini-dystrophin in DMD skeletal muscle lysate, as well as unspiked, pooled, non-dystrophic skeletal muscle lysate (normal pool). Average values for LLQV in the normal pool tested as part of clinical sample and long-term stability runs were similar to validated values. Biopsy samples showed minor or absent LLQV and absent LEMP signals pre-treatment with fordadistrogene movaparvovec infusion, but signals substantially increased at Days 60 and 360, on average. There was strong concordance in LEMP and LLQV expression change between Days 60 and 360 (R2 = 0.91; p < 0.001). IA-LC-MS/MS enables reproducible, stable, and reliable quantification of dystrophin/mini-dystrophin following fordadistrogene movaparvovec infusion. ClinicalTrials.gov identifier: NCT03362502.

Characterization of cell surface target expression is critical for the development of therapeutics that bind membrane proteins or use changes in target abundance as efficacy biomarkers. Target level is often analyzed with flow-cytometry by converting signal intensity of fluorophore-conjugated target-specific monoclonal antibodies (mAbs) into an Ab binding capacity (ABC) number, as determined at binding equilibrium using a calibrator. Here, we examined the feasibility of simultaneous estimation of ABC as well as mAb binding and dissociation rates in cell populations of interest, by mathematical modeling of experimentally observed time-dependent changes in the mAb-target complex formation. First, using three different target-specific mAbs, conjugated to a fluorophore in an equimolar ratio, we demonstrated that by modeling mAb binding kinetics, simultaneous quantification of ABC and apparent affinity (Kd) by flow cytometry was feasible, and the estimates were similar to calibration-based benchmark measurements with these mAbs. Next, by comparing different fluorophore formats of the same mAbs, we found that while kinetic data fitting with employed model can estimate the ABC and apparent affinity for mAbs, regardless of fluorophore type, the results can be sensitive to the model’s assumptions of fluorophore to Ab conjugation ratio. Collectively, our findings indicated that the described experimental and modeling approaches can be applied for the concomitant analysis of membrane target level and Ab on-cell affinity, circumventing the need for complex multiple experiments, expediting data delivery for drug discovery.

CKD is frequently diagnosed only after a significant progression. GFR is the most common indicator of kidney function but is limited in detecting early CKD cases and distinguishing glomerular, tubular, and global CKD. Aiming to provide a glomeruli specific biomarker assay, we developed a peptide immunoaffinity targeted mass spectrometry method for the quantitation of three podocyte specific proteins in human urine: nephrin, podocalyxin, and podocin. Proteins in urine were precipitated, stable isotope labeled peptide standards incorporated, and digested with trypsin. Target peptides were enriched using an online antibody column prior to LC-MS/MS. The performance metrics for nephrin, podocalyxin, and podocin were evaluated: The lower limits of quantitation were 3.8, 22.0, and 5.4 pM, respectively. The intraplate relative error (RE) was within ±10.6%, ± 10.4%, and ±16.1%, and coefficient of variation (CV) was ≤27.2%, ≤ 14.1%, and ≤20.7% accordingly. The interplate RE was within ±7.0%, ± 3.8%, and ±3.0%, and CV was ≤17.2%, ≤ 12.1%, and ≤20.0% for the three analytes. The urinary nephrin, podocalyxin, and podocin concentrations in 60 healthy volunteers and 20 disease samples was measured, thereby establishing the basal levels of these protein and enabling future evaluation of their roles as noninvasive biomarkers of glomerular injury in the clinic.

The desire to reach ever-diminishing lower limits of quantification (LLOQ) to probe changes in low abundance protein targets has led to enormous progress in sample preparation and liquid chromatography-tandem mass spectrometry (LC-MS/MS) instrumentation. To maximize signal and reduce noise, many approaches have been employed, including specific immunoaffinity (IA) enrichment and reducing the LC flow to the nanoflow (nLC) level; however, additional sensitivity gains may still be required. Recently, a technique termed "echo summing" has been described for small-molecular-weight analytes on a triple quadrupole (QqQ) MS where multiple iterations of the same, single selected reaction monitoring (SRM) transition are collected, summed, and integrated, yielding significant analyte dependent signal-to-noise (S/N) improvements. Herein, the direct applicability of echo summing to protein quantification by sequential IA combined with nLC-MS/MS (IA-nLC-MS/MS) is described for a beta nerve growth factor (NGF) and a soluble asialoglycoprotein receptor (sASGPR) assay from human serum. Five iterations of echo summing outperformed traditional collection in relative average accuracy (-1.5 +/- 7.7 vs -41.7 +/- 10.7% bias) and precision (7.8 vs 18.4% coefficient of variation (CV)) of the low-end quality control (QC) sample (N = 4) for NGF and improved functional sensitivity of serially diluted serum QC samples (N = 5 each population) approximately 2-fold (1.96 and 2.00-fold) for two peptides of sASGPR. Echo summing also extended the minimum quantifiable QC level for sASGPR 4-fold lower. Similar gains are believed to be achievable for most protein IA-nLC-MS/MS assays.

Duchenne muscular dystrophy (DMD) is an X-linked disease caused by loss-of-function mutations in the dystrophin gene and is characterized by muscle wasting and early mortality. Adeno-associated virus-mediated gene therapy is being investigated as a treatment for DMD. In the nonclinical study documented here, we determined the effective dose of fordadistrogene movaparvovec, a clinical candidate adeno-associated virus serotype 9 vector carrying a human mini-dystrophin transgene, after single intravenous injection in a dystrophin-deficient (DMDmdx) rat model of DMD. Overall, we found that transduction efficiency, number of muscle fibers expressing the human mini-dystrophin polypeptide, improvement of the skeletal and cardiac muscle tissue architecture, correction of muscle strength and fatigability, and improvement of diastolic and systolic cardiac function were directly correlated with the amount of vector administered. The effective dose was then tested in older DMDmdx rats with a more dystrophic phenotype similar to the pathology observed in older patients with DMD. Except for a less complete rescue of muscle function in the oldest cohort, fordadistrogene movaparvovec was also found to be therapeutically effective in older DMDmdx rats, suggesting that this product may be appropriate for evaluation in patients with DMD at all stages of disease.

Characterization of target abundance on cells has broad translational applications. Among the approaches for assessing membrane target expression is quantification of the number of target‐specific antibody (Ab) bound per cell (ABC). ABC determination on relevant cell subsets in complex and limited biological samples necessitates multidimensional immunophenotyping, for which the high‐order multiparameter capabilities of mass cytometry provide considerable advantages. In the present study, we describe the implementation of CyTOF® for the concomitant quantification of membrane markers on diverse types of immune cells in human whole blood. Specifically, our protocol relies on establishing B max of Ab saturable binding on cells, then converted into ABC according to a metal's transmission efficiency and number of metal atoms per Ab. Using this method, we calculated ABC values for CD4 and CD8 within the expected range for circulating T cells and in concordance with the ABC obtained in the same samples by flow cytometry. Furthermore, we successfully conducted multiplex measurements of the ABC for CD28, CD16, CD32a, and CD64, on >15 immune cell subsets in human whole blood samples. We developed a high‐dimensional data analysis workflow enabling semi‐automated B max calculation in all examined cell subsets to facilitate ABC reporting across populations. In addition, we investigated impacts of the type of metal isotope and acquisition batch effect on the ABC evaluation with CyTOF®. In summary, our findings demonstrate mass cytometry is a valuable tool for concurrent quantitative analysis of multiple targets in specific and rare cell types, thus increasing the numbers of biomeasures obtained from a single sample.

β-Nerve growth factor (NGF) is a neurotrophin that plays a critical role in fetal development during gestation. ProNGF is the precursor form of NGF with a distinct biological profile. In order to investigate the role of NGF and proNGF in pregnant human females, a sensitive and selective immunoaffinity liquid chromatography-tandem mass spectrometry assay was developed and qualified to simultaneously measure the levels of total NGF (tNGF; sum of mature and proNGF) and proNGF using full and relative quantification strategies, respectively. The assay was used to determine serum tNGF and proNGF levels in the three gestational trimesters of pregnancy and in non-pregnant female controls. Mean tNGF ± SD were 44.6 ± 12.3, 42.6 ± 9.3, 65.4 ± 17.6 and 77.0 ± 17.8 pg/mL for non-pregnant, first, second, and third trimesters, respectively, demonstrating no significant increase in circulating tNGF between the control and the first trimester, and a moderate yet significant 1.7-fold increase through gestation. proNGF levels during the first trimester were unchanged compared to control. In contrast to tNGF, however, proNGF levels during gestation remained stable without significant changes. The development of this sensitive, novel immunoaffinity duplexed assay for both tNGF and proNGF is expected to enable further elucidation of the roles these neurotrophins play in human pregnancy as well as other models.

Duchenne muscular dystrophy (DMD) is a degenerative muscular disease affecting roughly one in 5000 males at birth. The disease is often caused by inherited X-linked recessive pathogenic variants in the dystrophin gene, but may also arise from de novo mutations. Disease-causing variants include nonsense, out of frame deletions or duplications that result in loss of dystrophin protein expression. There is currently no cure for DMD and the few treatment options available aim at slowing muscle degradation. New advances in gene therapy and understanding of dystrophin (DYS) expression in other muscular dystrophies have opened new opportunities for treatment. Therefore, reliable methods are needed to monitor dystrophin expression and assess the efficacy of new therapies for muscular dystrophies such as DMD and Becker muscular dystrophy (BMD). Here, we describe the validation of a novel Western blot (WB) method for the quantitation of mini-dystrophin protein in human skeletal muscle tissues that is easy to adopt in most laboratory settings. This WB method was assessed through precision, accuracy, selectivity, dilution linearity, stability, and repeatability. Based on mini-DYS standard performance, the assay has a dynamic range of 0.5–15 ng protein (per 5 µg total protein per lane), precision of 3.3 to 25.5%, and accuracy of − 7.5 to 3.3%. Our stability assessment showed that the protein is stable after 4 F/T cycles, up to 2 h at RT and after 7 months at − 70°C. Furthermore, our WB method was compared to the results from our recently published LC–MS method. Workflow for our quantitative WB method to determine mini-dystrophin levels in muscle tissues (created in Biorender.com). Step 1 involves protein extraction from skeletal muscle tissue lysates from control, DMD, or BMD biospecimen. Step 2 measures total protein concentrations. Step 3 involves running gel electrophoresis with wild-type dystrophin (wt-DYS) from muscle tissue extracts alongside mini-dystrophin STD curve and mini-DYS and protein normalization with housekeeping GAPDH.

CD4+ T-cell activation through recognition of Human Leukocyte Antigen II (HLAII)-presented peptides is a key step in the development of unwanted immune response against biotherapeutics, such as the generation of anti-drug antibodies (ADA). Therefore, the identification of HLAII-presented peptides derived from biotherapeutics is a crucial part of immunogenicity risk assessment and mitigation strategies during drug development. To date, numerous CD4+ T-cell epitopes have been identified by HLAII immunopeptidomics in antibody-based biotherapeutics using either their native or aggregated form. Antibody-target immune complexes have been detected in patients with ADA and are thought to play a role in ADA development by enhancing the presentation of CD4+ T-cell epitopes at the surface of antigen presenting cells (APCs). The aim of this study was to investigate the effect of biotherapeutic antibody-target immune complexes on the HLAII peptide presentation of biotherapeutics in human primary monocyte-derived dendritic cells (DCs). The trimeric tumor necrosis factor (TNF) and its biotherapeutic antagonists infliximab (INFL), adalimumab (ADAL), and a single armed Fab’ were used as a model system. The HLAII immunopeptidome of DCs loaded with antagonists or their immune complexes with TNF was analyzed by trapped ion mobility time-of-flight mass spectrometry (timsTOF MS) leading to the identification of ~ 12,000 unique HLAII-associated peptides per preparation. Anti-TNF sequences were detected at a median of 0.3% of the total immunopeptidome, against a majority background of peptides from endogenous and media-derived proteins. TNF antagonist presentation spanned the variable and constant regions in a widespread manner in both light and heavy chains, consistent with previously discovered HLAII peptides. This investigation extends the collection of observed HLAII peptides from anti-TNF biotherapeutics to include sequences that at least partially span the complementary determining regions (CDRs), such as the LCDR1 for both INFL and ADAL. Although antagonist presentation varied significantly across donors, peptides from both bivalent antagonists INFL and ADAL were more highly presented relative to the Fab’. While TNF immune complexes did not alter overall HLAII presentation, a moderate increase in presentation of a subset of peptide clusters was observed in the case of INFL-TNF, which included HCDR2, HCDR3 and LCDR2 sequences.

Immunoaffinity mass spectrometry (IA-MS) is a powerful analytical technique for the determination of protein biomarkers with high sensitivity and unparalleled specificity. Typically, the protein antigen of interest is captured from biofluids and tissue lysates using an antibody prior to mass spectrometric analysis. Here we describe the specific steps of the protein immunoaffinity component of the IA-MS workflow that is applicable to most protein antigens.

The fibronectin (FN) isoform including the extradomain B (EDB) segment (EDB + FN) is a promising tumor target and is highly expressed in some tumor types, such as breast, head, and neck cancer. To date, mostly immunohistochemistry (IHC) and Western blot have been used for the analysis of EDB + FN. However, complete quantitative measurements of EDB + FN expression in a tumor and circulation are important for the development of anti-EDB therapeutics. To this end, a method using protein enrichment followed by online antipeptide antibody enrichment coupled with a nanoflow LC-MS/MS was developed to quantify EDB + FN in human and cynomolgus plasma, patient-derived xenograft (PDX) tumors, and PDX formalin-fixed paraffin-embedded (FFPE) samples. Mouse plasma EDB + FN was analyzed using a protein immunoaffinity method followed by nanoflow LC-MS/MS. EDB + FN concentrations were 63.1 pmol/g in PDX breast cancer tumor and 49.6 pmol/g in PDX head and neck tumor. Mean plasma concentration was 1.1 nM (pmol/mL, 47.4 ng/mL) in normal healthy humans and 0.35 nM (15.1 ng/mL) in naive cynomolgus. The assay sensitivity was 0.018 nM based on calibration with recombinant human EDB + FN (rhEDB + FN).

The 14 th edition of the Workshop on Recent Issues in Bioanalysis (14 th WRIB) was held virtually on June 15–29, 2020 with an attendance of over 1000 representatives from pharmaceutical/biopharmaceutical companies, biotechnology companies, contract research organizations, and regulatory agencies worldwide. The 14 th WRIB included three Main Workshops, seven Specialized Workshops that together spanned 11 days in order to allow exhaustive and thorough coverage of all major issues in bioanalysis, biomarkers, immunogenicity, gene therapy, cell therapy and vaccine. Moreover, a comprehensive vaccine assays track; an enhanced cytometry track and updated Industry/Regulators consensus on BMV of biotherapeutics by Mass Spectrometry (hybrid assays, LCMS and HRMS) were special features in 2020. As in previous years, this year's WRIB continued to gather a wide diversity of international industry opinion leaders and regulatory authority experts working on both small and large molecules to facilitate sharing and discussions focused on improving quality, increasing regulatory compliance and achieving scientific excellence on bioanalytical issues. This 2020 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the Global Bioanalytical Community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2020 edition of this comprehensive White Paper has been divided into three parts for editorial reasons. This publication covers the recommendations on (Part 1) Hybrid Assays, Innovation in Small Molecules, & Regulated Bioanalysis. Part 2A (BAV, PK LBA, Flow Cytometry Validation and Cytometry Innovation), Part 2B (Regulatory Input) and Part 3 (Vaccine, Gene/Cell Therapy, NAb Harmonization and Immunogenicity) are published in volume 13 of Bioanalysis, issues 5, and 6 (2021), respectively.

Quantitative modeling is increasingly utilized in the drug discovery and development process, from the initial stages of target selection, through clinical studies. The modeling can provide guidance on three major questions–is this the right target, what are the right compound properties, and what is the right dose for moving the best possible candidate forward. In this manuscript, we present a site-of-action modeling framework which we apply to monoclonal antibodies against soluble targets. We give a comprehensive overview of how we construct the model and how we parametrize it and include several examples of how to apply this framework for answering the questions postulated above. The utilities and limitations of this approach are discussed.

Duchenne muscular dystrophy (DMD) is a lethal, degenerative muscle disorder caused by mutations in the DMD gene, leading to severe reduction or absence of the protein dystrophin. Gene therapy strategies that aim to increase expression of a functional dystrophin protein (mini-dystrophin) are under investigation. The ability to accurately quantify dystrophin/mini-dystrophin is essential in assessing the level of gene transduction. We demonstrated the validation and application of a novel peptide immunoaffinity liquid chromatography–tandem mass spectrometry (IA-LC-MS/MS) assay. Data showed that dystrophin expression in Becker muscular dystrophy and DMD tissues, normalized against the mean of non-dystrophic control tissues (n = 20), was 4–84.5% (mean 32%, n = 20) and 0.4–24.1% (mean 5%, n = 20), respectively. In a DMD rat model, biceps femoris tissue from dystrophin-deficient rats treated with AAV9.hCK.Hopti-Dys3978.spA, an adeno-associated virus vector containing a mini-dystrophin transgene, showed a dose-dependent increase in mini-dystrophin expression at 6 months post-dose, exceeding wildtype dystrophin levels at high doses. Validation data showed that inter- and intra-assay precision were ≤20% (≤25% at the lower limit of quantification [LLOQ]) and inter- and intra-run relative error was within ±20% (±25% at LLOQ). IA-LC-MS/MS accurately quantifies dystrophin/mini-dystrophin in human and preclinical species with sufficient sensitivity for immediate application in preclinical/clinical trials.

To the Editor: Today, the term “personalized medicine” is most frequently used to refer to performing “static tests” (e.g., genetic testing) to categorize patients into subgroups and to deliver tailored treatment(s). Although this approach has been effective where genetic mutations are linked to specific diseases, a more comprehensive personalization strategy is required when DNA analysis is not informative. This would entail establishing personal baseline levels for clinically important biomolecules (e.g., proteins) so that dynamic changes can be tracked over time, thus allowing personal health monitoring. We recently published a study in which 27 protein biomarkers were longitudinally monitored in dried blood specimens collected from individuals over 1 to 5 years (1). For some proteins, personalized baselines could be established using relatively infrequent sampling (weekly collections), whereas for others (e.g., C-reactive protein), determining accurate intraindividual biological variations required dense sampling. Although frequent sampling is currently impractical for most clinical uses, at a research level, it is important to explore whether frequent measurement of proteins and establishment of personal baselines would have diagnostic advantages over the conventional, population-based methods currently in practice. To conduct such research, the fundamental question becomes “What is the appropriate frequency …