Beyond Rule of Five and PROTACs in Modern Drug Discovery: Polarity Reducers, Chameleonicity, and the Evolving Physicochemical Landscape.

Developing orally bioavailable drugs demands an understanding of absorption in early drug development. Traditional methods and physicochemical properties optimize absorption for rule of five (Ro5) compounds; beyond rule of five (bRo5) drugs necessitate advanced tools like the experimental measure of exposed polarity (EPSA) and the AbbVie multiparametric score (AB-MPS). Analyzing AB-MPS and EPSA against ∼1000 compounds with human absorption data and ∼10,000 AbbVie tool compounds (∼1000 proteolysis targeting chimeras or PROTACs, ∼7000 Ro5s, and ∼2000 bRo5s) revealed new patterns of physicochemical trends. We introduced a high-throughput "polarity reduction" descriptor: ETR, the EPSA-to-topological polar surface area (TPSA) ratio, highlights unique bRo5 and PROTAC subsets for specialized drug design strategies for effective absorption. Our methods and guidelines refine drug design by providing innovative in vitro approaches, enhancing physicochemical property optimization, and enabling accurate predictions of intestinal absorption in the complex bRo5 domain.

Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow.

Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases.

A Simplified Method for Determining Blood-to-Plasma Ratios in vitro and ex vivo by Matrix Matching with Blank Blood or Plasma.

OBJECTIVE: This work describes a simplified, 96-well plate method for determining the blood-to-plasma concentration ratio (BP ratio) for small molecules. METHODS: The need for calibration curves was eliminated using a matrix-matching approach in which blood samples were mixed with blank plasma and plasma samples were mixed with blank blood. As a result, both blood- and plasma-origin samples shared an equivalent matrix ahead of bioanalysis. In the in vitro assay, identical sample matrices were achieved by using the same source of blank plasma and blood. RESULTS: In humans, a good correlation (R2 = 0.84) was observed between the data obtained in this matrix-matching method and literature values for 11 commercial compounds possessing a wide range of logD values across multiple chemical classes. In addition, this method showed good agreement with in vitro BP ratios for 10 proprietary compounds determined radiometrically (R2 = 0.72) in human and preclinical species. Finally, the in vitro matrix matching method compared favorably to BP ratios determined ex vivo for 13 proprietary and literature compounds (R2 = 0.87) in rat. CONCLUSION: This method, suitable for in vitro and ex vivo BP ratio determinations, is operationally efficient, robust, and a useful improvement upon previously published methods.

Signature peptide selection workflow for biomarker quantification using LC-MS-based targeted proteomics.

In contrast to quantification of biotherapeutics, endogenous protein biomarker and target quantification using LC-MS based targeted proteomics can require a much more stringent and time-consuming tryptic signature peptide selection for each specific application. While some general criteria exist, there are no tools currently available in the public domain to predict the ionization efficiency for a given signature peptide candidate. Lack of knowledge of the ionization efficiencies forces investigators to choose peptides blindly, thus hindering method development for low abundant protein quantification. Here, the authors propose a tryptic signature peptide selection workflow to achieve a more efficient method development and to improve success rates in signature peptide selection for low abundant endogenous target and protein biomarker quantification.

Integrity and efficiency: AbbVie's journey of building an integrated nonregulated bioanalytical laboratory.

While bioanalytical outsourcing is widely adopted in the pharmaceutical industry, AbbVie is one of the few large biopharmaceutical companies having an internal bioanalytical unit to support nearly all its drug metabolism and pharmacokinetic studies. This article highlights our experience and perspective in building an integrated and centralized laboratory to provide early discovery and preclinical-stage bioanalytical support with high operational efficiency, cost-effectiveness and data integrity. The advantages of in-house nonregulated bioanalytical support include better control of data quality, faster turnaround times, real-time knowledge sharing and troubleshooting, and lower near- and long-term costs. The success of an in-house model depends upon a comprehensively optimized and streamlined workflow, fueled by continuous improvements and implementation of innovative technologies.

Bioanalytical strategy for the characterization and bioanalysis of biologics: a global, nonregulated bioanalytical lab perspective.

Over the past two decades, we have seen an increase in the complexity and diversity of biotherapeutic modalities pursued by biopharmaceutical companies. These biologics are multifaceted and susceptible to post-translational modifications and in vivo biotransformation that could impose challenges for bioanalysis. It is vital to characterize the functionality, stability and biotransformation products of these molecules to enable screening, identify potential liabilities at an early stage and devise a bioanalytical strategy. This article highlights our perspective on characterization and bioanalysis of biologics using hybrid LC-MS in our global nonregulated bioanalytical laboratories. AbbVie's suite of versatile, stage-appropriate characterization assays and quantitative bioanalytical approaches are discussed, along with guidance on their utility in answering project-specific questions to aid in decision-making.

Use of in-sample calibration curve approach for quantification of peptides with high-resolution mass spectrometry.

RATIONALE: The in-sample calibration curve (ISCC) approach of quantification utilizes the response of isotopologue ions from spiked-in stable isotope labeled internal standard (SIL-IS) to build a standard curve. The quantitative analysis of the study sample is achieved based on the response of selected monoisotopic analyte ion against the calibration curve. Although this methodology has been demonstrated to be feasible by unit and high-resolution mass spectrometers, quantitation on high-resolution mass spectrometer with product ions has not been tested. We tested the feasibility of this approach using product ions on an high-resolution mass spectrometer equipped with an Orbitrap detector. METHODS: Using a proteomics workflow for sample preparation, two surrogate peptides were quantified from a complex matrix of protein digest from human peripheral blood mononuclear cells (hPBMCs). SIL-IS was spiked in at different levels to construct calibration curves in a traditional manner. ISCCs were prepared using extracted ion chromatograms from isotopically resolved mass spectra and compared with traditional calibration curves. RESULTS: A linear response was observed with ISCC approach for at least two to three orders of magnitude in MS1 as well as targeted MS2 (tMS2). From protein digests, isobaric interferences were observed for endogenous peptides on the MS1 level; this was circumvented with product-ion-based quantitation where for one peptide, %CV for endogenous levels was more than 20% with ISCC but higher with the traditional calibration curve approach. For the second peptide, endogenous levels could not be determined in the traditional approach as calibrant levels did not bracket the lower end, and with the ISCC approach, isotopologues at abundances lower than the endogenous level allowed for quantitative assessments. CONCLUSIONS: ISCC demonstrated improved precision across surrogate peptides from endogenous protein digests. In samples where endogenous analyte concentrations were low in abundance, ISCC rescued what would have been a non-reportable result in a traditional bioanalytical assay as calibrant levels were not prepared at adequately low levels to bracket unknowns. ISCC using high-resolution mass spectrometer is feasible and ideal compared to unit resolution mass spectrometers. High-resolution mass spectrometer allows for isotopic resolution for analytes with > + 2 charge state and provides flexibility in quantification using multiple product ions. ISCC using high-resolution mass spectrometer allows for simultaneous assaying of low abundance isotopologues, the signal acquisition of which is not constrained by limits in data acquisition or calibrant preparation as with other approaches but rather limited by platform sensitivity. In contrast to unit resolution mass spectrometers, these features offered by high-resolution mass spectrometer could be especially useful for the drug discovery assay support where there is less lead time for assay development than for the assays to support the drug development studies.

Comparison of three parallelism assessment methods of biomarker quantification by LC-MS/MS: a case study of the bioanalysis of creatinine in human urine samples.

Background: Currently, no regulatory guidelines are available for parallelism assessment for LC-MS biomarker quantification. Spike recovery, standard addition and dilutional linearity are recommended with no mention of the implications of applying these approaches. Results: Here, using human urine creatinine, the authors compared spike recovery and standard addition in LC-MS biomarker quantification, and evaluated a new hybrid approach: parallelism QCs. The authors drew different conclusions based on which approach was used (<15% cutoff). Conclusion: Current recommended approaches may lead to different conclusions and are not equivalent and interchangeable. The authors recommend that standard addition should be the universal 'go-to' method for LC-MS biomarker parallelism assessment; parallelism QCs, which consider the total concentration as the theoretical value, can be used if the authentic matrix is limited.

Broad Application of CYP3A4 Liquid Chromatography-Mass Spectrometry Protein Quantification in Hepatocyte Cytochrome P450 Induction Assays Identifies Nonuniformity in mRNA and Protein Induction Responses.

Screening for cytochrome P450 (CYP) induction potential is routine in drug development. Induction results in a net increase in CYP protein and is assessed typically by measuring indirect endpoints, i.e., enzyme activity and mRNA in vitro. Recent methodological advancements have made CYP protein quantification by liquid chromatography-mass spectrometry in vitro induction studies more accessible and amenable to routine testing. In this study, we evaluated CYP3A4 concentration dependence of induction response for 11 compounds (rifampin, rifabutin, carbamazepine, efavirenz, nitrendipine, flumazenil, pioglitazone, rosiglitazone, troglitazone, pazopanib, and ticagrelor) in plated hepatocytes from two or three donors incorporating in the assessment all three endpoints. In addition, the time-dependence of the induction was examined over 1, 2, or 3 days of treatment. For most compounds, mRNA, enzyme activity, and protein endpoints exhibited similarity in induction responses. Pazopanib and ticagrelor were notable exceptions as neither protein nor enzyme activity were induced despite mRNA induction of a magnitude similar to efavirenz, pioglitazone, or rosiglitazone, which clearly induced in all three endpoints. Static modeling of clinical induction responses supported a role for protein as a predictive endpoint. These data highlight the value of including CYP protein quantification as an induction assay endpoint to provide a more comprehensive assessment of induction liability. SIGNIFICANCE STATEMENT: Direct, liquid chromatography-mass spectrometry (LC-MS)-based quantification of cytochrome P450 (CYP) protein is a desirable induction assay endpoint; however such application has been limited due to inefficient workflows. Here, we incorporate recent advancements in protein quantitation methods to efficiently quantify CYP3A4 protein in in vitro induction assays with 11 compounds in up to 3 donors. The data indicate induction responses from mRNA do not always align with those of protein suggesting assessment of induction liability is more complex than thought previously.

Fit-for-purpose LC-MS/MS quantification of leukotoxin and leukotoxin diol in mouse plasma without sample pre-concentration.

LC/MS quantification of leukotoxin (LTX) and leukotoxin diol (LTXdiol) in plasma has been previously reported, however large sample volumes are required for achieving stated assay Lower Limit of Quantification (LLOQ). Reported here is a fit-for-purpose LC/MS method that reduces plasma volume from 700 to 25 µL and omits pre-concentration steps. These improvements make for a method with increased utility in mouse studies offering limited sample volumes. Additionally, omitting pre-concentration steps streamlines sample processing, which can now be completed in under 10 min. This method can be used to quickly answer if the ratio of LTX to LTXdiol changes with the dose of the therapeutic drug so this could be used as a potential biomarker for correlating PK/PD effects. No extensive assay characterization was performed before application to an exploratory in-life study. Basal levels of LTX and LTXdiol in plasma were quantified by LC-MRM across 10 individual mice, and the average signal-to-noise was 36 for LTX and 3039 for LTXdiol, with CVs of 29.4% and 15.2%, respectively. Addition of LTX and LTXdiol reference standard at 5, 25, and 75 ng/mL into pooled mouse plasma was quantifiable within 30% relative error using a surrogate matrix calibration curve ranging from 0.8 to 200 ng/mL. The average ratio of LTX to LTXdiol across the 10 mice was 0.32, consistent with previous reports. Finally, the method was applied to a mouse PK/PD study to monitor LTX/LTXdiol kinetics after a single oral dose of a soluble epoxide hydrolase inhibitor. The mean plasma ratio of LTX to LTXdiol increased up to 10-fold by 3 h post-dose followed by a decrease to near pre-dose levels by 24 h, consistent with transient inhibition of sEH-mediated conversion of LTX to LTXdiol. The method improvements described here will make subsequent quantification of LTX and LTXdiol in mouse studies significantly easier.

Quantitation of Plasma Membrane Drug Transporters in Kidney Tissue and Cell Lines Using a Novel Proteomic Approach Enabled a Prospective Prediction of Metformin Disposition.

The successful prospective incorporation of in vitro transporter kinetics in physiologically based pharmacokinetic (PBPK) models to describe drug disposition remains challenging. Although determination of scaling factors to extrapolate in vitro to in vivo transporter kinetics has been facilitated by quantitative proteomics, no robust assessment comparing membrane recoveries between different cells/tissues has been made. HEK293 cells overexpressing OCT2, MATE1, and MATE2K or human kidney cortex were homogenized and centrifuged to obtain the total membrane fractions, which were subsequently subjected to liquid-liquid extraction followed by centrifugation and precipitation to isolate plasma membrane fractions. Plasma membrane recoveries determined by quantitation of the marker Na+/K+-ATPase in lysate and plasma membrane fractions were ≤20% but within 3-fold across different cells and tissues. A separate study demonstrated that recoveries are comparable between basolateral and apical membranes of renal proximal tubules, as measured by Na+/K+-ATPase and γ-glutamyl transpeptidase 1, respectively. The plasma membrane expression of OCT2, MATE1, and MATE2K was quantified and relative expression factors (REFs) were determined as the ratio between the tissue and cell concentrations. Corrections using plasma membrane recovery had minimal impact on REF values (<2-fold). In vitro transporter kinetics of metformin were extrapolated to in vivo using the corresponding REFs in a PBPK model. The simulated metformin exposures were within 2-fold of clinical exposure. These results demonstrate that transporter REFs based on plasma membrane expression enable a prediction of transporter-mediated drug disposition. Such REFs may be estimated without the correction of plasma membrane recovery when the same procedure is applied between different matrices. SIGNIFICANCE STATEMENT: Transporter REFs based on plasma membrane expression enable in vitro-in vivo extrapolation of transporter kinetics. Plasma membrane recoveries as determined by the quantification of sodium-potassium adenosine triphosphatase were comparable between the in vitro and in vivo systems used in the present study, and therefore had minimal impact on the transporter REF values.

Expanding the Repertoire for "Large Small Molecules": Prodrug ABBV-167 Efficiently Converts to Venetoclax with Reduced Food Effect in Healthy Volunteers.

Since gaining approval for the treatment of chronic lymphocytic leukemia (CLL), the BCL-2 inhibitor venetoclax has transformed the treatment of this and other blood-related cancers. Reflecting the large and hydrophobic BH3-binding groove within BCL-2, venetoclax has significantly higher molecular weight and lipophilicity than most orally administered drugs, along with negligible water solubility. Although a technology-enabled formulation successfully achieves oral absorption in humans, venetoclax tablets have limited drug loading and therefore can present a substantial pill burden for patients in high-dose indications. We therefore generated a phosphate prodrug (3, ABBV-167) that confers significantly increased water solubility to venetoclax and, upon oral administration to healthy volunteers either as a solution or high drug-load immediate release tablet, extensively converts to the parent drug. Additionally, ABBV-167 demonstrated a lower food effect with respect to venetoclax tablets. These data indicate that beyond-rule-of-5 molecules can be successfully delivered to humans via a solubility-enhancing prodrug moiety to afford robust exposures of the parent drug following oral dosing.

Amorphous solid dispersions of enzalutamide and novel polysaccharide derivatives: investigation of relationships between polymer structure and performance.

Amorphous solid dispersion (ASD) is a widely employed formulation technique for drugs with poor aqueous solubility. Polymers are integral components of ASDs, but mechanisms by which polymers lead to the generation and maintenance of supersaturated solutions, which enhance oral absorption in vivo, are poorly understood. Herein, a diverse group of newly synthesized cellulose derivatives was evaluated for their ability to inhibit crystallization of enzalutamide, a poorly soluble compound used to treat prostate cancer. ASDs were prepared from selected polymers, specifically a somewhat hydrophobic polymer that was extremely effective at inhibiting drug crystallization, and a less effective, but more hydrophilic, crystallization inhibitor, that might afford better release. Drug membrane transport rate was evaluated in vitro and compared to in vivo performance, following oral dosing in rats. Good correlation was noted between the in vitro diffusion cell studies and the in vivo data. The ASD formulated with the less effective crystallization inhibitor outperformed the ASD prepared with the highly effective crystallization inhibitor in terms of the amount and rate of drug absorbed in vivo. This study provides valuable insight into key factors impacting oral absorption from enabling ASD formulations, and how best to evaluate such formulations using in vitro approaches.

Enrichment-free High-throughput Liquid Chromatography-Multiple-Reaction Monitoring Quantification of Cytochrome P450 Proteins in Plated Human Hepatocytes Direct from 96-Well Plates Enables Routine Protein Induction Measurements.

Despite the availability of liquid chromatography (LC)-mass spectrometry (MS) methods for quantifying cytochrome P450 (P450) proteins, incorporation of P450 protein quantification into induction study workflows has not been widely adopted. To more readily enable P450 protein quantification in induction study workflows, DMPK research groups need a simple, robust, cost-effective, high-throughput method compatible with 96-well-plated human hepatocyte formats. Here, we provide such a methodology. Our method bypasses both microsomal enrichment and antibody-based enrichment to go directly from the plate to LC-MS/MS analysis. We use this "plate-to-peaks" approach for quantifying CYP3A4, CYP2B6, and CYP1A2, the major inducible hepatic P450s representative of pregnane X receptor-, constitutive androstane receptor-, and aryl hydrocarbon receptor-mediated induction, respectively. We leveraged our induction study-aligned assay format to assess induction across mRNA, protein, and enzyme activity using known induction control compounds. As expected, results from the three methods using model inducers were broadly concordant, but the magnitude of the induction response differed. Induction of CYP3A4 using 10 µM rifampicin was 12-fold for RNA, eightfold for protein, and threefold for activity; for CYP1A2 with 50 µM omeprazole, induction was 30-fold for RNA, 13-fold for protein, and 17-fold for activity; for CYP2B6 with 50 µM phenytoin, induction was 23-fold for RNA, twofold for protein, and fivefold for activity. Most importantly, we anticipate the relative ease of this method will enable researchers to routinely adopt P450 protein quantification as part of nonclinical evaluation of P450 induction. SIGNIFICANCE STATEMENT: Current methodologies for quantifying P450 proteins by liquid chromatography (LC)-tandem mass spectrometry are either cumbersome, too costly, or both to be widely adopted into induction study workflows by the ADME research community. We present a simplified LC-MS/MS methodology for quantifying P450 proteins directly from human hepatocytes, without any form of enrichment, in 96-well induction assay plate format that should be readily adoptable by any ADME laboratory with LC-multiple-reaction monitoring capabilities.

Effects of microtubule-inhibiting small molecule and antibody-drug conjugate treatment on differentially-sized A431 squamous carcinoma spheroids.

Multicellular tumor spheroids have been increasingly used by researchers to produce more physiologically relevant experimental environments. However, tracking of spheroid growth and treatment-induced volume reduction has not been readily adopted. Here, squamous carcinoma cells were seeded at different starting cell numbers with growth and reduction kinetics monitored using live cell imaging. Following the initial growth phase, spheroids were treated with auristatin as small molecule (MMAE) or as antibody-drug conjugate containing non-cleavable auristatin drug payload (033-F). Compared to cells in monolayers, 033-F had notably weaker potency against spheroids despite potency levels of MMAE being similar against monolayers and spheroids. Accumulation of released payload from 033-F was reduced in higher volume spheroids, likely contributing to the potency differences. Despite lowered potency towards spheroids with 033-F, spheroid volume was still readily reduced by 033-F in a dose-dependent fashion, with >85% volume reductions at the highest concentrations for all spheroid sizes. Additionally, the core of the larger spheroids showed more resiliency towards microtubule inhibition. Overall, this work highlights how various in-vivo 'features' such as tumor penetration, cell interactions, and increased resistance to therapeutics can be integrated into a spheroid model and tracked over time by automated imaging technology.

Analytical method considerations regarding carryover for monophosphate prodrugs for in vivo samples by liquid chromatography-tandem mass spectrometry.

Three different components that impact carryover in a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method were evaluated to establish baseline conditions for analyzing in vivo samples for twelve monophosphate prodrug compounds and their corresponding parent compounds. The three components were: wash solvent modifier, column shell material (metal vs. metal free), and tubing composition. These components were tested for their impact on system carryover by using rat plasma extracted samples. It was determined that a wash solution containing hexylamine yielded the lowest average carryover of the solutions tested. In addition, metal free columns and PEEK (poly ether ether ketone) tubing yielded the lowest carryover when compared to metal columns, stainless steel tubing and nickel tubing. These conditions were also tested against the parent molecules for each prodrug in the test set, to ensure that changing the conditions for the prodrugs did not impact the ability to analyze the parent, since there is typically a desire to measure both compounds in study samples. Under all conditions, the carryover of the corresponding parent molecule was not adversely impacted in these studies.

Assessing the Impact of Endogenously Derived Crystalline Drug on the in Vivo Performance of Amorphous Formulations.

Crystallization of drug from an amorphous formulation is expected to negatively impact its bioperformance following oral delivery. In evaluating this in vivo, neat crystalline drug is typically mixed with the amorphous formulation. However, this approach may not adequately mimic the effect of drug crystals that form within the amorphous matrix, because crystal properties are highly dependent on the crystallization environment. The aim of this study was to evaluate the in vivo impact of crystals formed in a generic tacrolimus amorphous formulation, relative to noncrystallized formulations and a reference suspension containing neat crystalline drug. Crystallization of tacrolimus was induced in the generic product by exposing it to moderate temperatures and high relative humidity. Controlled levels of crystallinity in the formulations were achieved by mixing maximally crystallized and fresh formulations at the desired ratios. These formulations were then characterized in vitro and used for oral dosing to beagle dogs. Analysis of blood concentrations versus time revealed that formulations containing 50 and 100% crystalline tacrolimus resulted in lower area under the curve (AUC) and maximum concentration (Cmax) values as compared to the fresh amorphous formulation. However, the AUC and the Cmax values for these formulations were significantly higher than those observed after dosing the pure crystalline tacrolimus suspension. The innovator formulation, Prograf, showed comparable pharmacokinetics before and after exposure to accelerated stability conditions, confirming the robustness of the innovator product to drug crystallization. This study provides insight into the impact of endogenously crystallized material on the oral absorption of a poorly water-soluble compound and highlights the importance of using representative crystalline material when undertaking risk assessment of amorphous formulations.

Determination of IL-23 Pharmacokinetics by Highly Sensitive Accelerator Mass Spectrometry and Subsequent Modeling to Project IL-23 Suppression in Psoriasis Patients Treated with Anti-IL-23 Antibodies.

The pro-inflammatory cytokine interleukin (IL)-23 is a key modulator of the immune response, making it an attractive target for the treatment of autoimmune disease. Correspondingly, several monoclonal antibodies against IL-23 are either in development or approved for autoimmune indications such as psoriasis. Despite being a clinical validated target, IL-23 pharmacokinetics (e.g., IL-23 synthesis and elimination rates) and the degree of target suppression (i.e., decrease in free "active" IL-23) associated with clinical efficacy are not well understood, primarily due to its ultra-low circulating levels and the lack of sensitive and accurate measurement methods. In the current work, this issue was overcome by using accelerator mass spectrometry (AMS) to measure the concentration and pharmacokinetics of human recombinant [14C]-IL-23 following an intravenous trace-dose in cynomolgus monkeys. IL-23 pharmacokinetic parameters along with clinical drug exposure and IL-23 binding affinities from four different anti-IL-23 antibodies (ustekinumab, tildrakizumab, guselkumab, and risankizumab) were used to build a pharmacokinetics/pharmacodynamics (PK/PD) model to assess the time course of free IL-23 over one year in psoriasis patients following different dosing regimens. The predicted rank order of reduction of free IL-23 was consistent with their reported rank order of Psoriasis Area and Severity Index (PASI) 100 scores in clinical efficacy trials (ustekinumab < tildrakizumab < guselkumab < risankizumab), thus demonstrating the utility of highly sensitive AMS for determining target pharmacokinetics to inform PK/PD modeling and assessing target suppression associated with clinical efficacy.