Kevin P. Bateman

Rationale: LC‐MS‐based quantification is traditionally performed using selected or multiple reaction monitoring (SRM/MRM) acquisition functions on triple quadrupole (QQQ) instruments resulting in both high sensitivity and selectivity. This workflow requires a previously identified reaction or transition from a precursor ion to a fragment ion to be monitored to obtain the needed selectivity for the compound of interest. High‐resolution mass spectrometry (HRMS) has long sought to be a viable alternative for quantitatipve workflows but has been unable to broadly compete, mainly due to the lack of suitable data processing software.Methods: The approach we developed agnostically and automatically identifies all ions related to the compound being analyzed in both the MS and MSMS data, acquired with data‐dependent or data‐independent methods. The algorithm automatically selects optimal parameters (ion extraction window, ions to sum, etc.) to provide the best overall method to meet the acceptance criteria defined by the user (accuracy/precision).Results: The results obtained are directly compared to QQQ data collected from the same set of samples and show that the automated HRMS approach is as good as and, in some cases, better than the traditional QQQ approach in terms of selectivity, sensitivity, and dynamic range.Conclusions: This new methodology enables the use of generic methods for data collection for quantitative analysis using high‐resolution mass spectrometry. With this approach, data collection is faster, and the processing algorithm provides quality equal to or better than the current QQQ methodology. This enables an overall reduction in cycle time and improved assay performance versus current HRMS‐based quantitative analysis as well as traditional QQQ workflows.

Interests in covalent drugs have grown in modern drug discovery as they could tackle challenging targets traditionally considered "undruggable". The identification of covalent binders to target proteins typically involves directly measuring protein covalent modifications using high-resolution mass spectrometry. With a continually expanding library of compounds, conventional mass spectrometry platforms such as LC-MS and SPE-MS have become limiting factors for high-throughput screening. Here, we introduce a prototype high-resolution acoustic ejection mass spectrometry (AEMS) system for the rapid screening of a covalent modifier library comprising ∼10,000 compounds against a 50 kDa-sized target protein─Werner syndrome helicase. The screening samples were arranged in a 1536-well format. The sample buffer containing high-concentration salts was directly analyzed without any cleanup steps, minimizing sample preparation efforts and ensuring protein stability. The entire AEMS analysis process could be completed within a mere 17 h. An automated data analysis tool facilitated batch processing of the sample data and quantitation of the formation of various covalent protein-ligand adducts. The screening results displayed a high degree of fidelity, with a Z' factor of 0.8 and a hit rate of 2.3%. The identified hits underwent orthogonal testing in a biochemical activity assay, revealing that 75% were functional antagonists of the target protein. Notably, a comparative analysis with LC-MS showcased the AEMS platform's low risk of false positives or false negatives. This innovative platform has enabled robust high-throughput covalent modifier screening, featuring a 10-fold increase in library size and a 10- to 100-fold increase in throughput when compared with similar reports in the existing literature.

The growth of therapeutic monoclonal antibodies (mAbs) continues to accelerate due to their success as treatments for many diseases. As new therapeutics are developed, it is increasingly important to have robust bioanalytical methods to measure the pharmacokinetics (PK) of circulating therapeutic mAbs in serum. Ligand-binding assays such as enzyme-linked immunosorbent assays (ELISAs) with anti-idiotypic antibodies (anti-IDs) targeting the variable regions of the therapeutic antibody are sensitive and specific bioanalytical methods to measure levels of therapeutic antibodies in a biological matrix. However, soluble circulating drug mAb targets can interfere with the anti-IDs binding to the therapeutic mAb, thereby resulting in an underestimation of total drug concentration. Therefore, in addition to a high binding affinity for the mAb, the selection of anti-IDs and the assay format that are not impacted by soluble antigens and have low matrix interference is essential for developing a robust PK assay. Standardized automated approaches to screen and select optimal reagents and assay formats are critical to increase efficiency, quality, and PK assay robustness. However, there does not exist an integrated screening and analysis platform to develop robust PK assays across multiple formats. We have developed an automated workflow and scoring platform with multiple bioanalytical assay parameters that allow for ranking of candidate anti-IDs. A primary automated indirect electrochemiluminescence (ECL) was utilized to shortlist the anti-IDs that were selected for labeling and screening in pairs. A secondary screen using an ECL sandwich assay with labeled-anti-ID pairings was used to test multiple PK assay formats to identify the best anti-ID pairing/PK assay format. We developed an automated assay using fixed plate maps combined with a human-guided graphical user interface-based scoring system and compared it to a data-dependent scoring system using Gaussian mixture models for automated scoring and selection. Our approach allowed for screening of anti-IDs and identification of the most robust PK assay format with significantly reduced time and resources compared with traditional approaches. We believe that such standardized, automated, and integrated platforms that accelerate the development of PK assays will become increasingly important for supporting future human clinical trials.

Lipids are structurally diverse molecules that play a pivotal role in a plethora of biological processes. However, deciphering the biological roles of the specific lipids is challenging due to the existence of numerous isomers. This high chemical complexity of the lipidome is one of the major challenges in lipidomics research, as the traditional liquid chromatography-mass spectrometry (LC-MS) based approaches are often not powerful enough to resolve these isomeric and isobaric nuances within complex samples. Thus, lipids are uniquely suited to the benefits provided by multidimensional liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS) analysis. However, many forms of lipid isomerism, including double-bond positional isomers and regioisomers, are structurally similar such that their collision cross section (CCS) differences are unresolvable via conventional IM approaches. Here we evaluate the performance of a high resolution ion mobility (HRIM) system based on structures for lossless ion manipulation (SLIM) technology interfaced to a high resolution quadrupole time-of-flight (QTOF) analyzer to address the noted lipidomic isomerism challenge. SLIM implements the traveling wave ion mobility technique along an ∼13 m ion path, providing longer path lengths to enable improved separation of isomeric features. We demonstrate the power of HRIM-MS to dissect isomeric PC standards differing only in double bond (DB) and stereospecific number (SN) positions. The partial separation of protonated DB isomers is significantly enhanced when they are analyzed as metal adducts. For sodium adducts, we achieve close to baseline separation of three different PC 18:1/18:1 isomers with different cis-double bond locations. Similarly, PC 18:1/18:1 (cis-9) can be resolved from the corresponding PC 18:1/18:1 (trans-9) form. The separation capacity is further enhanced when using silver ion doping, enabling the baseline separation of regioisomers that cannot be resolved when measured as sodium adducts. The sensitivity and reproducibility of the approach were assessed, and the performance for more complex mixtures was benchmarked by identifying PC isomers in total brain and liver lipid extracts.

The number of points across a chromatographic peak has long been recognized as a key determinant of the accuracy and precision of the measured peak area. In LC-MS-based quantitation experiments in drug discovery and development, the "rule-of-thumb" has been to use 15 or more points. This "rule" is based on the literature describing chromatographic methods where the goal was to achieve the lowest possible imprecision in the measurements, especially when unknown analytes are being detected. Restricting methods to the requirement of at least 15 points across a peak can be detrimental to the development methods that fully optimize the signal-to-noise ratio for the assay using longer dwell times and/or transition summing. This study aims to show that 7 points across the peak for peaks that are 9 s or less wide provide more than sufficient accuracy and precision for drug quantitation studies. Data from simulated Gaussian curves using a sampling interval of 7 points across the peak gave peak area calculations within 1% of the expected total peak area using the Trapezoidal and Riemann rules and 0.6% for the Simpson rule. Low and high concentration samples (n = 5) were assayed using three different LC methods on three different days on two different instruments (API5000 and API5500). The difference in peak area (%ΔPA) and relative standard deviation of the peak areas (%RSD) was less than ∼5%. No significant difference was observed from the data that were obtained from different sampling intervals, different peak widths, different days, different peak sizes, and different instruments. Three core analytical runs were performed on three different days. In each core run, the lower limit of quantitation (LLOQ, n = 5), low quality control (LQC, n = 5), middle quality control (MQC, n = 5), and high-quality control samples (HQC, n = 5) were processed and run simultaneously with a standard curve. The range of the intra- and interday accuracy and precision for 3 core runs was 98.0-105% and 0.9-3.0% for 7 data points and 97.5-105% and 0.8-4.3% for 17 data points, respectively. No significant difference was observed for the different sampling intervals. The results show a sampling interval of 7 points for peaks up to 9 s wide is sufficient to define a peak accurately and precisely for drug quantitation studies in drug discovery and development.

The need for high-throughput intact protein analysis has been rising as drug discovery increasingly requires the analysis of large sets of covalent modifiers and protein therapeutics. Liquid chromatography-mass spectrometry (LC-MS) is the primary analytical tool used to date to characterize proteins within the biopharmaceutical industry. However, the speed of LC-MS prevents the analysis of large-scale sample sets (>1000 within a day). Acoustic ejection mass spectrometry (AEMS) has recently been established as an electrospray ionization (ESI)-MS based platform with both fast analytical throughput and high data quality. Since its introduction, this technology has been applied in numerous fields with a primary focus on small-molecule analysis in high-throughput drug discovery and development. Here we explore the application of AEMS to high-throughput intact protein analysis for proteins ranging in molecular weight from 17 to 150 kDa on a prototype high-resolution quadrupole time-of-flight (HR QTOF) based AEMS system. Data quality obtained on this platform is comparable to LC-MS, while the analysis speed is significantly improved to one-second-per-sample. This ultrahigh-throughput intact protein analysis platform has the potential to be used broadly in drug discovery.

Frequent viral load testing is necessary during analytical treatment interruptions (ATIs) in HIV cure-directed clinical trials, though such may be burdensome and inconvenient to trial participants. We implemented a national, cross-sectional survey in the United States to examine the acceptability of a novel home-based peripheral blood collection device for HIV viral load testing. Between June and August 2021, we distributed an online survey to people with HIV (PWH) and community members, biomedical HIV cure researchers and HIV care providers. We performed descriptive analyses to summarize the results. We received 73 survey responses, with 51 from community members, 12 from biomedical HIV cure researchers and 10 from HIV care providers. Of those, 51 (70%) were cisgender men and 50 (68%) reported living with HIV. Most (>80% overall) indicated that the device would be helpful during ATI trials and they would feel comfortable using it themselves or recommending it to their patients/participants. Of the 50 PWH, 42 (84%) indicated they would use the device if they were participating in an ATI trial and 27 (54%) also expressed a willingness to use the device outside of HIV cure studies. Increasing sensitivity of viral load tests and pluri-potency of the device (CD4 count, chemistries) would augment acceptability. Survey findings provide evidence that viral load home testing would be an important adjunct to ongoing HIV cure-directed trials involving ATIs. Survey findings may help inform successful implementation and uptake of the device in the context of personalized HIV care.

The primary goal of high-throughput screening (HTS) is to rapidly survey a broad collection of compounds, numbering from tens of thousands to millions of members, and identify those that modulate the activity of a therapeutic target of interest. For nearly two decades, mass spectrometry has been used as a label-free, direct-detection method for HTS and is widely acknowledged as being less susceptible to interferences than traditional optical techniques. Despite these advantages, the throughput of conventional MS-based platforms like RapidFire or parallel LC-MS, which typically acquire data at speeds of 6–30 s/sample, can still be limiting for large HTS campaigns. To overcome this bottleneck, the field has recently turned to chromatography-free approaches including MALDI-TOF-MS and acoustic droplet ejection-MS, both of which are capable of throughputs of 1 sample/second or faster. In keeping with these advances, we report here on our own characterization of an acoustic droplet ejection, open port interface (ADE-OPI)-MS system as a platform for HTS using the membrane-associated, lipid metabolizing enzyme diacylglycerol acyltransferase 2 (DGAT2) as a model system. We demonstrate for the first time that the platform is capable of ejecting droplets from phase-separated samples, allowing direct coupling of liquid–liquid extraction with OPI-MS analysis. By applying the platform to screen a 6400-member library, we further demonstrate that the ADE-OPI-MS assay is suitable for HTS and also performs comparably to LC-MS, but with an efficiency gain of >20-fold.

Recent improvements in immunocapture methods and mass spectrometer technology have enabled intact protein mass spectrometry to be applied for the characterization of antibodies and other large biotherapeutics from in-life studies. Protein molecules have not been traditionally studied by intact mass or screened for catabolites in the same manner as small molecules, but the landscape has changed. Researchers have presented methods that can be applied for discovery and development stages, and others are exploring the possibilities of the new approaches. However, a wide variety of options for assay development exist without clear recommendation on best practice, and data processing workflows may have limitations depending on the vendor. In this perspective, we share experiences and recommendations for current and future application of mass spectrometry for biotherapeutic molecule monitoring from pre-clinical and clinical studies.

Accessing patient samples using a whenever/wherever paradigm is needed to enable a better understanding of human biology and disease. The technology for convenient self-collection of blood samples ...