Ion Mobility Mass Spectrometry Research Articles

Abstract 4131674: ADP-Ribosylation In a Mouse Model of Atherosclerosis: a Potential Novel Link Between Dyslipidemia and Inflammation in Cardiovascular Disease

Background: Inflammation and lipid accumulation are major features of atherosclerosis, a leading cause of death and morbidity worldwide. Our previous study recognized ADP-ribosylation, a post-translational modification, as a novel regulator of macrophage activation. We also have established mass spectrometry-based ADP-ribosylation proteomics. Using this technology, we evaluated the completely uncharacterized role of ADP-ribosylation in atherogenesis. We hypothesized that ADP-ribosylated proteins circulate from liver, accumulate in aorta and promote atherogenesis. Methods and Results: We harvested the aorta, liver, and plasma of LDL receptor-deficient ( Ldlr -/- ) mice that were on a regular chow or high-fat diet for 3 or 6 months (n=40/condition). To increase ADP-ribosyl peptide signals in the aorta, we applied our novel recently optimized ion mobility mass spectrometry strategy to generate ADP-ribosylation proteomics data. We analyzed 160 mice aortas and identified 3 APOA1 and 3 APOE ADP-ribosylated peptides in both the aorta and the liver (Fig. A). In addition, these peptides were differentially abundant in the aorta of HFD-fed mice, compared to controls (i.e, APOA1 ARPALEDLR peptide relative abundance (Fig. B)). Using the same mouse plasma, we then validated the presence of ADP-ribosylated APOA1 and ADP-ribosylated APOE in HDL and chylomicron/VLDL/LDL fractions (Western blot), respectively. This finding indicates that classical apolipoproteins circulate as ADP-ribosylated forms, representing a completely novel class of modified apolipoproteins. Immunohistochemistry confirmed the enrichment of aortic lesions in macrophages and ADP-ribosylation signal (5-fold increase, p=0.0006). Conclusions: This work provides the first in vivo evidence that ADP-ribosylation occurs in atherosclerotic lesions, which may originate from the liver via circulating blood (Fig. C). Future studies will examine whether ADP-ribosylation of apolipoproteins, specifically APOA1, alters anti-atherogenic functions of HDL.

Ion Mobility-Mass Spectrometry Captures the Structural Consequences of Lipid Nanoparticle Encapsulation on Ribonucleic Acid Cargo.

Ribonucleic acids (RNAs) are becoming increasingly significant in our search for improved biotherapeutics. RNA-based treatments offer high specificity, targeted delivery, and potentially lower-cost options for various debilitating human diseases. Despite these benefits, there are still relatively few FDA-approved RNA-based therapies, with the notable exceptions being the mRNA (mRNA) COVID-19 vaccines, which are delivered using lipid nanoparticle (LNP) systems. LNPs are distinctive drug delivery systems (DDSs) because of their ability to target specific cells, their biocompatibility, and their efficiency in merging with cellular membranes to enhance treatment effectiveness. While the biophysical landscapes of RNA structures in solution are relatively well understood, the impact of the LNP environment on RNA remains less clear. This study uses native ion mobility-mass spectrometry (IM-MS) and collision-induced unfolding (CIU) techniques to investigate how LNP encapsulation affects RNA structure and stability. We examine how various factors, such as ionization polarity, cofactor binding, lipid types, and lipid ratios, influence LNP-released RNA cargo. Our findings reveal that LNP DDSs induce significant changes in the structures and stabilities of their RNA cargo. However, the extent of these changes strongly depends on the type and composition of the lipids used. We conclude by discussing how IM-MS and CIU can aid in the continued development of more efficient LNP DDSs and improve DDS selection methodologies overall.

Exploring the structural heterogeneity of IgG1s: A comprehensive analysis of glycosylated and deglycosylated forms using TIMS-TOF-MS technique

Denaturation of IgG is a complex and multistep process that involves various structural changes in the protein as it loses its native conformation. IgG denaturation is crucial in therapeutic antibody development, manufacturing, and storage. Glycosylated IgG is generally more resistant to denaturing conditions due to the stabilizing effect of its glycans. In contrast, deglycosylated IgG is more vulnerable to structural disruption. In this study, we examined the intact level and large fragments of IgG glycoforms. Our investigation focused on changes in structural heterogeneity through glycosylation under denaturing conditions. Collision cross-sections (CCS) of intact level and large fragments of IgG1 molecules have been determined using reversed phase-high performance liquid chromatography-electrospray ionization-trapped ion mobility-time-of-flight mass spectrometry (RP-HPLC-ESI-TIMS-TOF-MS) technique. At the intact level, deglycosylated bevacizumab (IgG1B) and trastuzumab (IgG1T) could be differentiated at specific charge states and CCS ranges. The deglycosylated IgG1B molecule showed a broader CCS range than the IgG1T molecule. This result demonstrated that the deglycosylated IgG1T was altered from deglycosylated IgG1B in the gas phase under denaturing conditions. The lowering in the collision cross-section distribution (CCSD) values indicates a decrease in the structural heterogeneity of the intact IgG after deglycosylation. The ion mobility-mass spectrometry (IM-MS) analyses performed in this study showed that the glycans on the Fc region of IgG1s can trigger structural changes in the molecule under denaturing conditions. Depending on whether they are glycosylated or deglycosylated, various conformations of IgG1 molecules could be distinguished in RP-HPLC-TIMS-TOF-MS analysis.

Elucidating Protein Structures in the Gas Phase: Traversing Configuration Space with Biasing Methods.

Achieving accurate characterization of protein structures in the gas phase continues to be a formidable challenge. To tackle this issue, the present study employs Molecular Dynamics (MD) simulations in tandem with enhanced sampling techniques (methods designed to efficiently explore protein conformations). The objective is to identify suitable structures of proteins by contrasting their calculated Collision Cross-Section (CCS) with those observed experimentally. Significant discrepancies were observed between the initial MD-simulated and experimentally measured CCS values through Ion Mobility-Mass Spectrometry (IMS-MS). To bridge this gap, we employed two distinct enhanced sampling methods, Harmonic Biasing Potential and Adaptive Biasing Force, which help the proteins overcome energy barriers to adopt more compact configurations. These techniques leverage the radius of gyration as a reaction coordinate (guiding parameter), guiding the system toward compressed states that potentially match experimental configurations more closely. The guiding forces are only employed to overcome existing barriers and are removed to allow the protein to naturally arrive at a potential gas phase configuration. The results demonstrated close alignment (within ∼4%) between simulated and experimental CCS values despite using different strengths and/or methods, validating their efficacy. This work lays the groundwork for future studies aimed at optimizing biasing methods and expanding the collective variables used for more accurate gas-phase structural predictions.

Simultaneous Determination of the Position and Cis-Trans Configuration of Lipid C═C Bonds via Asymmetric Derivatization and Ion Mobility-Mass Spectrometry.

The position and cis-trans configuration of C═C bonds in unsaturated lipids significantly affect their biological activities. Simultaneous identification of the position and cis-trans configuration of C═C bonds in unsaturated lipids is important; nonetheless, it still remains a challenging task. Herein, a stereoselective asymmetric reaction was used to recognize cis-trans isomers of the C═C bonds, and the derivatized precursor ions and product ions were subjected to tandem ion mobility-mass spectrometry (IM-MS) analysis. The theoretical calculation revealed that the formation of intramolecular hydrogen bonds after the cyclization reaction amplified the structural difference between diastereomers and increased the separation efficiency in IM. Consequently, a simple, sensitive, and highly selective platform for simultaneous determination of the position and cis-trans configuration of various C═C bonds in unsaturated lipids was established. It was then successfully applied to pinpoint the cis-trans geometry conversion of the located C═C bonds in lipids of the bacterial membrane under environmental stress and track the heterogeneous distribution of unsaturated lipids in rats after spinal cord injury. The present study also offers new insights into the application of IM-MS technology in resolving molecular structures and demonstrates the potential as a platform for a broad range of applications.

Eliminating the Deadwood: A Machine Learning Model for CCS Knowledge-Based Conformational Focusing for Lipids.

Accurate elucidation of gas-phase chemical structures using collision cross section (CCS) values obtained from ion-mobility mass spectrometry benefits from a synergism between experimental and in silico results. We have shown in recent work that for a molecule of modest size with a proscribed conformational space we can successfully capture a conformation(s) that can match experimental CCS values. However, for flexible systems such as fatty acids that have many rotatable bonds and multiple intramolecular London dispersion interactions, it becomes necessary to sample a much greater conformational space. Sampling more conformers, however, accrues significant computational cost downstream in optimization steps involving quantum mechanics. To reduce this computational expense for lipids, we have developed a novel machine learning (ML) model to facilitate conformer filtering according to the estimated gas-phase CCS values. Herein we report that the implementation of our CCS knowledge-based approach for conformational sampling resulted in improved structure prediction agreement with experiment by achieving favorable average CCS prediction errors of ∼2% for lipid systems in both the validation set and the test set. Moreover, most of the gas-phase candidate conformations obtained by using CCS focusing achieved lower energy-minimum geometries than the candidate conformations without focusing. Altogether, the implementation of this ML model into our modeling workflow has proven to be beneficial for both the quality of the results and the turnaround time. Finally, while our approach is limited to lipids, it can be readily extended to other molecules of interest.

Rapid separation of bile acid isomers via ion mobility mass spectrometry by complexing with spiramycin.

Bile acid (BA) is one of the main active components of bile and has multiple isomers, the structure or content of its isomers often changes due to diseases and other health problems; thus, the accurate detection of BA isomers is very important. In this study, two groups of BA isomers of glycine-conjugated BAs and taurine-conjugated BAs were simultaneously separated and quantitatively analyzed by ion mobility mass spectrometry (IM-MS). Especially, baseline mobility separation between the isomers was achieved by the formation of binary complexes via simple interaction with spiramycin (SPM), for which a separation resolution (Rp-p) of 1.96was reached. Moreover, BA isomers were quantitatively analyzed, and the limit of detection (LOD) of absolute quantification for TCDCA/TUDCA and GUDCA/GCDCA/GHDCA was 0.514 and 0.611ng∙mL-1, respectively; the LODs for molar ratio ranges of relative quantification for TCDCA/TUDCA, GUDCA/GHDCA, and GCDCA/GHDCA were 1:18-30:1, 1:18-21:1, and 1:19-21:1, respectively. Additionally, BA isomers analyzed in pig bile powder and bear bile powder were measured, which were in good consistency with those labeled, revealing the differences in BA composition and content between the two powders. Finally, BA detection and recovery analyses were performed on serum samples, with a recovery rate of ≥73.69%, RSD of ≤6.8%, and SR (standard deviation of recoveries, the degree of difference between measured values and average recovery) of ≤1.27. Due to the simple, rapid, and lack of need for complex sample preparation and chromatographic separation, the proposed method can be an effective method for BA detection in practical samples.

B-282 Cost and Benefits of Utilization of Ion Mobility Mass Spectrometry Testing for Drugs of Abuse Compared to Immunoassay Screening in a Large Urban Hospital

Abstract Background Urine drugs of abuse testing (DOAU) in US hospitals are mainly orders from the emergency department performed by immunoassay screening. Testing can be relatively expensive, and results may suffer from non-idealities in sensitivity, specificity, and from panel limitations. A potential approach to these issues for immunoassays is instead to employ mass spectrometry (MS), where a large and flexible analyte list can be evaluated providing needed specificity and reducing send out costs for confirmatory testing. We compared results and cost impacts of a DOAU assay on a prototype, ion mobility mass spectrometry system to those obtained from an array of immunoassays offered as routine tests at a large urban hospital. Methods Immunoassay screen-positive and screen-negative urine samples were isolated from among those submitted for a DOAU panel (amphetamines, barbiturates, benzodiazepines, cannabis, cocaine, opiates, and methadone) or for additional single drug tests (fentanyl, oxycodone, phencyclidine, buprenorphine, propoxyphene). Sample aliquots (3 mL) were retrieved after not more than 5 days of refrigerated storage of the original sample and were subsequently frozen. These samples were then subjected to MS analysis using the prototype system where identification of 62 compounds was based on mass and ion mobility-derived Collision Cross Section (CCS). An established library of m/z, SLIMCCSHe, peak intensity, and peak width for each analyte was used, with acceptable method performance characteristics as based on applicable CLIA validation guidelines. The MS list included compounds covered by the immunoassay classes as well as additional drugs not expected to be positive among the immunoassays test results but of value for routine toxicological assessments. Results comparisons, utility of results, sample-to-result turnaround times, and overall financial implications were compared between the two workflows. Results Among immunoassay screen-negative samples, MS analysis showed additional positive results for metabolites of parent drugs as well as novel psychoactive substances and known adulterants in >10% of cases. Among the immunoassay screen-positive results, MS analysis confirmed immunoassay results (>90%) but picked up an additional positive component in over 15% of cases. Cost per complete patient result for the immunoassay was approximately $2.80 in comparison to an estimated cost of $5 for the MS method. Confirmation testing for positive immunoassay screen results (16% of all samples) would cost an additional $70 per sample, whereas the need for confirmation testing is eliminated for the MS method. Thus, use of the MS testing workflow would be superior to an immunoassay with reflex testing workflow while at the same time providing a clinically superior service of more diverse positive test results and elimination of often overlooked false negatives. Turnaround time between immunoassay (1h) and MS (50m) were judged to be similar. Conclusions The MS approach confirmed >90% of all immunoassay positive screen results. In addition, the MS method identified additional positive results not detected by the immunoassay despite an overall similar estimated time for sample to patient. Need for development of a user friendly, MS analyzer for use in hospitals is supported based on cost-effective and analytically superior tests for DOAU compared to screens performed using immunoassay panels.

Recent additions and access to a multidimensional lipidomic database containing liquid chromatography, ion mobility spectrometry, and tandem mass spectrometry information.

The importance of lipids in biology continues to grow with their recent linkages to more diseases and conditions, microbiome fluctuations, and environmental exposures. These associations have motivated researchers to evaluate lipidomic changes in numerous matrices and studies. Lipidomic analyses, however, present numerous challenges as lipid species have broad chemistries that require different extraction methods and instrumental analyses to evaluate and separate their many isomers and isobars. Increasing knowledge about different lipid characteristics is therefore crucial for improving their separation and identification. Here, we present a multidimensional database for lipids analyzed on a platform combining reversed-phase liquid chromatography, drift tube ion mobility spectrometry, collision-induced dissociation, and mass spectrometry (RPLC-DTIMS-CID-MS). This platform and the different separation characteristics it provides enables more confident lipid annotations when compared to traditional tandem mass spectrometry platforms, especially when analyzing highly isomeric molecules such as lipids. This database expands on our previous publication containing only human plasma and bronchoalveolar lavage fluid lipids and provides experimental RPLC retention times, IMS collision cross section (CCS) values, and m/z information for 877 unique lipids from additional biofluids and tissues. Specifically, the database contains 1504 precursor [M + H]+, [M + NH4]+, [M + Na]+, [M-H]-, [M-2H]2-, [M + HCOO]-, and [M + CH3COO]- ion species and their associated CID fragments which are commonly targeted in clinical and environmental studies, in addition to being present in the chloroform layer of Folch extractions. Furthermore, this multidimensional RPLC-DTIMS-CID-MS database spans 5 lipid categories (fatty acids, sterols, sphingolipids, glycerolipids, and glycerophospholipids) and 24 lipid classes. We have also created a webpage (tarheels.live/bakerlab/databases/) to enhance the accessibility of this resource which will be populated regularly with new lipids as we identify additional species and integrate novel standards.

From Microsize Chromatographic Manufacturing for Fast Desalting to Its Characterization.

Microfluidic devices are becoming increasingly popular in protein analysis due to their ability to reduce sample and buffer volumes. However, there is a research gap concerning the coupling of this technology with ion mobility and mass spectrometry (IM-MS). This study aims to fill this void by introducing the manufacture and the characterization of a microsize exclusion chromatography (μSEC) module for fast desalting and its integration into microfluidics, along with its coupling to electrospray ionization and ion mobility mass spectrometry (ESI-IM-MS). To assess the feasibility of this approach, the desalting of α-synuclein (αS) was investigated using Bio Spin P6 gel as a stationary phase in the manufacture of a microfluidic device. αS detection by MS gives insight into the sample purity, while IM combined with MS provides information about protein structure. IM allowed both the recording of qualitative and quantitative information. The qualitative data provided a map of the conformers in equilibrium, while the calculation of the respective abundances (quantitative profile) of the conformers afforded the opportunity to describe the dynamics of the system. Our experiments, serving as proof-of-concept, demonstrate αS desalting, exchange buffer efficiency, and reduced solvent usage, without compromising the protein's structure.

In Vitro Inhibition of Enzymes and Antioxidant and Chemical Fingerprinting Characteristics of Azara serrata Ruiz & Pav. Fruits, an Endemic Plant of the Valdivian Forest of Chile

The World Health Organization has emphasized the importance of consuming small fruits for the prevention of chronic health problems, including diabetes, cardiovascular diseases, cancer, and obesity, which are named chronic non-communicable diseases (NCDs). Azara serrata Ruiz & Pav., commonly called “aroma de Castilla”, is a shrub endemic to Chile from the Salicaceae family that produces an underutilized blue-grey berry that grows wild in southern Chile. The species is widely used as a medicinal plant by the Andean communities of southern Chile. In this work, a high-resolution mass spectrometric analysis of the methanolic extract revealed several phenolic compounds for the first time in the edible berry of this endemic species. Furthermore, several glycosylated anthocyanins were detected and quantified using UHPLC coupled with UV/Vis detection and trapped ion mobility mass spectrometry (UHPLC-DAD-TIMS-TOF) for the anthocyanin-rich extract, which was prepared using an optimized anthocyanin extraction protocol. The extract proved to be active in the inhibition of several enzymes linked to NCDs, such as acetylcholinesterase, tyrosinase, amylase, lipase, and glucosidase (IC50 = 3.92 ± 0.23, 12.24 ± 0.03, 11.12 ± 0.10, 32.43 ± 0.0, and 371.6 ± 0.0 μg/mL, respectively). Furthermore, the extract concentrated in anthocyanins showed good antioxidant activity evidenced by the bleaching of the radicals DPPH and ABTS, ferric-reducing antioxidant power (FRAP), and oxygen radical absorbance capacity (ORAC). The results show that these neglected endemic small berries can be a source of healthy phytochemicals. These Chilean berries can be used as functional food and their extracts are candidates for use as functional ingredients in naturally healthy products.

Investigating Anion Effects on Metal Ion Binding Interactions With Amyloid β Peptide by Ion Mobility Mass Spectrometry.

The study of metal ion's role in the biological processes of Alzheimer's disease has spurred investigations into the coordination chemistry of amyloid beta peptide and its fragments. Nano-electrospray ionization mass spectrometry (nESI-MS) has been utilized to examine the stabilization of bound anions on multiprotein complexes without bulk solvent. However, the effects of anions on metal ion binding interactions with amyloid beta peptide have not been explored. This study directly examined metal-peptide complexes using nESI-MS and investigated the effects of various anions on the binding ratio and stability of these complexes from ammonium salt solutions. The results indicate that different anions have distinct effects on the binding ratio and stability of various metal-peptide complexes. Of these, the bicarbonate ion exhibits the highest binding ratios for metal-peptide complexes, while binding ratios for these complexes in phosphate are comparatively low. Our results suggest that acetate, formate, bicarbonate, and phosphate have weak affinities and act as weak stabilizers of the metal-peptide complex structure in the gas phase. Intriguingly, chloride and sulfate act as stabilizers of the metal-peptide complex in the gas phase. The rank order determined from these data is substantially different from the Hofmeister salt series in solution. Although this outcome was anticipated due to the reduced influence of anions and water solvation, our findings correlate well with expected anion binding in solution and emphasize the importance of both hydration layer and anion-metal-peptide binding effects for Hofmeister-type stabilization in solution. This approach proved useful in examining the interactions between metal ions and amyloid beta peptide, which are relevant to Alzheimer's disease, using direct ESI-MS.

Characterization of Anticancer Drug Protomers Using Electrospray Ionization and Ion Mobility Spectrometry-Mass Spectrometry.

We used electrospray ionization and ion mobility spectrometry-mass spectrometry to detect and characterize the three anticancer drugs palbociclib, copanlisib, and olaparib. Ion mobility-mass spectrometry and density functional theory revealed that these compounds generate isomers during ionization (protomers) due to the presence of multiple protonation sites within their chemical structures. Our work has implications for understanding the solution- and gas-phase chemistry of these molecules during spray-based ionization processes.

Streamlining Phenotype Classification and Highlighting Feature Candidates: A Screening Method for Non-Targeted Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS) Data.

Nontargeted analysis (NTA) is increasingly utilized for its ability to identify key molecular features beyond known targets in complex samples. NTA is particularly advantageous in exploratory studies aimed at identifying phenotype-associated features or molecules able to classify various sample types. However, implementing NTA involves extensive data analyses and labor-intensive annotations. To address these limitations, we developed a rapid data screening capability compatible with NTA data collected on a liquid chromatography, ion mobility spectrometry, and mass spectrometry (LC-IMS-MS) platform that allows for sample classification while highlighting potential features of interest. Specifically, this method aggregates the thousands of IMS-MS spectra collected across the LC space for each sample and collapses the LC dimension, resulting in a single summed IMS-MS spectrum for screening. The summed IMS-MS spectra are then analyzed with a bootstrapped Lasso technique to identify key regions or coordinates for phenotype classification via support vector machines. Molecular annotations are then performed by examining the features present in the selected coordinates, highlighting potential molecular candidates. To demonstrate this summed IMS-MS screening approach, we applied it to clinical plasma lipidomic NTA data and exposomic NTA data from water sites with varying contaminant levels. Distinguishing coordinates were observed in both studies, enabling the evaluation of phenotypic molecular annotations and resulting in screening models capable of classifying samples with up to a 25% increase in accuracy compared to models using annotated data.

Isomeric Speciation of Bisbenzoxazine Intermediates by Ion Spectroscopy and Ion Mobility Mass Spectrometry.

Bisbenzoxazines (BisBz) are a relevant model for the diverse bifunctional benzoxazines that are used to increase the polybenzoxazines cross-linking extensions and modulate the final resin properties for various usages. The presence of side products and intermediates during monomer formation can influence the resin characteristics by inducing chain termination and ramifications, affecting the polymerization and cure processes. This work investigated the diverse isomeric intermediates and side products that are present during the BisBz formation from bisphenol A, aniline, and formaldehyde by ion mobility coupled to tandem mass spectrometry (MS/MS) and ion spectroscopy techniques. The species detected in this work suggest that these multifunctional phenols open diverse concurrent reaction pathways based on two main reactive steps: (i) the imine/iminium phenol attack to form a phenylamino intermediate and (ii) the formaldehyde attack followed by dehydration to form the oxazine ring. The species observed also support previous studies of the benzoxazine formation mechanism and showcase the application of advanced analytical techniques in studying complex chemical systems.

Polystyrene Chain Geometry Probed by Ion Mobility Mass Spectrometry and Molecular Dynamics Simulations.

Polystyrene (PS) is a thermoplastic polymer commonly used in various applications due to its bulk properties. Designing functional polystyrenes with well-defined structures for targeted applications is of significant interest due to the rigid and apolar nature of the polymer chain. Progress is hindered to date by the limitations of current analytical methods in defining the atomistic-level folding of the polymer chain. The integration of ion mobility spectrometry and molecular dynamics simulations is beneficial in addressing these challenges. However, data on gas-phase polystyrene ions are rarely reported in the literature. We herein investigate the gas phase structure of polystyrene ions with different end groups to establish how the nature and the rigidity of the monomer unit affect the charge stabilization. We find that, in contrast to polar polymers in which the charges are located deep in the ionic globules, the charges in the PS ions are rather located at the periphery of the polymer backbone, leading to singly and doubly charged PS ions adopting dense elliptic-shaped structures. Molecular dynamics (MD) simulations indicate that the folding of the PS rigid chain is controlled by phenyl ring interactions with the charge ultimately remaining excluded from the core of the globular ions, whereas the folding of polyether ions is initiated by the folding of the flexible polyether chain around the sodium ion that remains deeply enclosed in the core of the ions.

An Untargeted Lipidomics Workflow Incorporating High-Resolution Demultiplexing (HRdm) Drift Tube Ion Mobility-Mass Spectrometry.

Global discovery lipidomics can provide comprehensive chemical information toward understanding the intricacies of metabolic lipid disorders such as dyslipidemia; however, the isomeric complexity of lipid species remains an analytical challenge. Orthogonal separation strategies, such as ion mobility (IM), can be inserted into liquid chromatography-mass spectrometry (LC-MS) untargeted lipidomic workflows for additional isomer separation and high-confidence annotation, and the emergence of high-resolution ion mobility (HRIM) strategies provides marked improvements to the resolving power (Rp > 200) that can differentiate small structural differences characteristic of isomers. One such HRIM strategy, high-resolution demultiplexing (HRdm), utilizes multiplexed drift tube ion mobility spectrometry (DTIMS) with post-acquisition algorithmic deconvolution to access high IM resolutions while retaining the measurement precision inherent to the drift tube technique; however, HRdm has yet to be utilized in untargeted studies. In this manuscript, a proof-of-concept study using ATP10D dysfunctional murine models was investigated to demonstrate the utility of HRdm-incorporated untargeted lipidomic analysis pipelines. Total lipid features were found to increase by 2.5-fold with HRdm compared to demultiplexed DTIMS as a consequence of more isomeric lipids being resolved. An example lipid, PC 36:5, was found to be significantly higher in dysfunctional ATP10D mice with two resolved peaks observed by HRdm that were absent in both the functional ATP10D mice and the standard demultiplexed DTIMS acquisition mode. The benefits of utilizing HRdm for discerning isomeric lipids in untargeted workflows have the potential to enhance our analytical understanding of lipids related to disease complexity and biologically relevant studies.

Label-free assessment of complement-dependent cytotoxicity of therapeutic antibodies via a whole-cell MALDI mass spectrometry bioassay

Potency assessment of monoclonal antibodies or corresponding biosimilars in cell-based assays is an essential prerequisite in biopharmaceutical research and development. However, cellular bioassays are still subject to limitations in sample throughput, speed, and often need costly reagents or labels as they are based on an indirect readout by luminescence or fluorescence. In contrast, whole-cell Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) Mass Spectrometry (MS) has emerged as a direct, fast and label-free technology for functional drug screening being able to unravel the molecular complexity of cellular response to pharmaceutical reagents. However, this approach has not yet been used for cellular testing of biologicals. In this study, we have conceived, developed and benchmarked a label-free MALDI-MS based cell bioassay workflow for the functional assessment of complement-dependent cytotoxicity (CDC) of Rituximab antibody. By computational evaluation of response profiles followed by subsequent m/z feature annotation via fragmentation analysis and trapped ion mobility MS, we identified adenosine triphosphate and glutathione as readily MS-assessable metabolite markers for CDC and demonstrate that robust concentration–response characteristics can be obtained by MALDI-TOF MS. Statistical assay performance indicators suggest that whole-cell MALDI-TOF MS could complement the toolbox for functional cellular testing of biopharmaceuticals.

Utilizing ESI-MS/MS and ion mobility spectrometry for structural characterization and isomer differentiation of 1, 2-unsaturated (1-4) linked disaccharide derivatives and their 2-C-functionalized analogues.

The 1, 2-unsaturated derivatives of (1-4) linked disaccharides serve as versatile building blocks for synthesizing biologically active compounds. Distinguishing between four pairs of stereoisomers in mixtures presents a challenging task. In this study, disaccharide derivatives are analyzed as alkali metal adducts using electrospray ionization tandem mass spectrometry (ESI-MS/MS), both as individual compounds and in mixtures by ion mobility mass spectrometry (IMS). Electrospray ionization (ESI) in combination with tandem mass spectrometry (MS/MS) in positive mode was employed to differentiate lithium adduct ions of hexa-acetyl/hexa-benzyl-D-lactals, and hexa-acetyl/hexa-benzyl-D-maltals, along with their corresponding 2-C-branched malonates. The high resolving power of trapped ion mobility spectrometry (TIMS) with the imeX™ functionality rapidly identified different metal adducts (Li, Na, Cs) as individual isomers and separated mixtures of stereoisomers. The measured collisional cross section (CCS) values were analyzed in relation to predicted CCS values. MS/MS spectra of the [M + Li]+ ions of glycal disaccharide analogues exhibited typical cross-ring and glycosidic bond cleavages. Collision-induced dissociation (CID) spectra provided insights into their fragmentation behavior, allowing differentiation of (1-4) linked disaccharides. TIMS technology delivered adjustable ion mobility resolution for suitable separation of the four sets of stereo isomeric compounds. However, accurately predicting CCS values to differentiate between respective isomeric pairs using the SigmaCCS program for sodium adducts is only partially achievable. ESI CID spectra of [M + Li]+ adduct ions for individual glycal disaccharide analogues facilitate the discrimination between alpha and beta (1-4) linked unsaturated disaccharides and their 2-C-branched analogues. Through optimized experimental conditions, complete baseline ion mobility separation of stereoisomer pairs of the Cs adducts is achieved.

Revisiting Dissolved Organic Matter Analysis Using High-Resolution Trapped Ion Mobility and FT-ICR Mass Spectrometry.

The molecular level characterization of complex mixtures remains an analytical challenge. We have shown that the integration of complementary, high-resolution, gas-phase separations allows for chemical formula level isomeric content description. In the current work, we revisited the current challenges associated with the analysis of dissolved organic matter using high-resolution trapped ion mobility separation (TIMS) and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). In particular, we evaluated the separation capabilities provided by TIMS-MS compared to MS alone, the use of ICR complementary data acquisition (DAQ) systems and transient processing strategies, ICR cell geometries (e.g., Infinity cell vs harmonized cell), and magnetic field strengths (7 T vs 9.4 T vs 21 T) for the case of a Harney River DOM sample. Results showed that the external high-performance DAQ enables direct representation of mass spectra in absorption mode FT (aFT), doubling the MS resolution compared to the default magnitude mode FT (mFT). Changes between half- vs full-apodization result in greater MS signal/noise vs superior MS resolving power (RP); in the case of DOM analysis, a 45% increase in assigned formulas is observed when employing the DAQ half (Kaiser-type)-apodization window and aFT when compared to the default instrument mFT. Results showed the advantages of reprocessing 2D-TIMS-FT-ICR MS data with higher RP and magnetic field chemical formulas generated list acquired (e.g., 21 T led to a 24% increase in isomers reported) or the implementation of alternative strategies.