Charge Detection Mass Spectrometry for Megadalton Polymer Characterization and Measurement of Electrospray-Generated Charged Droplet Dynamics with a New "Direct Visualization of the Rayleigh Limit" Approach to Aid in m/z Calibration.

A charge detector has been constructed and mounted inside the vacuum housing of a commercial mass spectrometer (Micromass-Waters Quattro I, Waters Corp., Manchester, UK). The in-house built single-pass charge detector is composed of a designed, complete electronics system that includes a low-noise charge amplifier. Communication to the data acquisition system was enabled, and analog and digital filters were devised, followed by their tuning and programming. Data treatment scripts for data analysis and plotting were automated, and the assembled system was calibrated and tested. The instrument has an acquisition speed of ∼200 detection events/s, and it permits detection down to ∼510 charges (= three times RMS noise) for a single measured particle. The charge detector was employed to determine the oligomer distribution of a megadalton polymer, polyethylene glycol (PEG). The PEG size distribution exhibits a maximum at ∼ m/z 5910 with the oligomeric population mass distribution peaking near 4.45 MDa. In studies of methanol droplet dynamics, "charge vs time-of-flight" plots enabled clear visualization of the zone near the Rayleigh limit to droplet charging. The highest population of methanol droplets near the Rayleigh limit carried 5000-7000 charges. This corresponds to droplet weights of 10-20 GDa, with the high-end tail extending above 70 GDa. This visualization of the most highly charged droplets (that bear numbers of charges near those defined by the Rayleigh equation) was exploited as a calibration aid for our charge detector, which lacks a means of precisely defining ion energy. A maximum m/z error of -12.3% was calculated for the method, i.e., less than the potential error in assigning the true level of charging of the most highly charged droplets relative to the Rayleigh limit. With these limitations in mind, the introduced method will provide a new means for aiding the calibration of m/z values in charge detectors.

Semantic dementia: a complex and culturally influenced presentation.

SUMMARY: The variants of frontotemporal dementia (FTD) require careful differentiation from primary psychiatric disorders as the neuropsychiatric manifestations can overshadow the unique cognitive deficits. The language variants of FTD are less readily recognised by trainees despite making up around 43% of cases. This educational article presents an anonymised case of one of the language variants: semantic dementia. The cognitive deficits and neuropsychiatric manifestations (delusions and hyperreligiosity) are explored in terms of aetiology and management. By the end of the article, readers should be able to differentiate FTD from Alzheimer's disease, understand the principles of management and associated risks, and develop a multifaceted approach to hyperreligiosity in dementia.

Tissue-Like 3D Standard and Protocols for Microscope Quality Management.

This article outlines a global study conducted by the Association of Biomedical Resource Facilities (ABRF) Light Microscopy Research Group (LMRG). The results present a novel 3D tissue-like biologically relevant standard sample that is affordable and straightforward to prepare. Detailed sample preparation, instrument-specific image acquisition protocols and image analysis methods are presented and made available to the community. The standard consists of sub-resolution and large well characterized relative intensity fluorescence microspheres embedded in a 120 µm thick 3D gel with a refractive index of 1.365. The standard allows the evaluation of several properties as a function of depth. These include the following: 1) microscope resolution with automated analysis of the point-spread function (PSF), 2) automated signal-to-noise ratio analysis, 3) calibration and correction of fluorescence intensity loss, and 4) quantitative relative intensity. Results demonstrate expected refractive index mismatch dependent losses in intensity and resolution with depth, but the relative intensities of different objects at similar depths are maintained. This is a robust standard showing reproducible results across laboratories, microscope manufacturers and objective lens types (e.g., magnification, immersion medium). Thus, these tools will be valuable for the global community to benchmark fluorescence microscopes and will contribute to improved scientific rigor and reproducibility.

Prevalence of autistic traits in functional neurological disorder and relationship to alexithymia and psychiatric comorbidity.

INTRODUCTION: In a cohort of adults with Functional Neurological Disorder (FND), we aim to: METHODS: 91 patients participating in a FND 5-week outpatient program completed baseline self-report questionnaires for total phobia, somatic symptom severity, attention deficit hyperactivity disorder (ADHD) and dyslexia. Patients were grouped by Autism Spectrum Quotient (AQ-10) score of <6 or ≥ 6 and compared for significant differences in tested variables. This analysis was repeated with patients grouped by alexithymia status. Simple effects were tested using pairwise comparisons. Multistep regression models tested direct relationships between autistic traits and psychiatric comorbidity scores, and mediation by alexithymia. RESULTS: 36 patients (40%) were AQ-10 positive (scoring ≥6 on AQ-10). A further 36 patients (across AQ-10 positive and AQ-10 negative groups) (40%) screened positive for alexithymia. AQ-10 positive patients scored significantly higher for alexithymia, depression, generalised anxiety, social phobia, ADHD, and dyslexia. Alexithymia positive patients scored significantly higher for generalised anxiety, depression, somatic symptoms severity, social phobia, and dyslexia. Alexithymia score was found to mediate the relationship between autistic trait and depression scores. CONCLUSION: We demonstrate a high proportion of autistic and alexithymic traits, in adults with FND. A higher prevalence of autistic traits may highlight a need for specialised communication approaches in FND management. Mechanistic conclusions are limited. Future research could explore links with interoceptive data.

Case study: A positive cognitive outcome following an out-of-hospital cardiac arrest.

OBJECTIVE: Time is critical with any out of hospital cardiac arrest (OHCA). The possibility of brain cell death increases, and the likelihood of a "good" outcome decreases with time. The most prominent impairments involve memory and attentional difficulties. Limited research and few cases have shown positive cognitive results following an OHCA to the extent that this case study depicts. METHOD: The current case study presents a right-handed male in his late 40s, with master's and law degrees, and a high-level functioning in the workplace who experienced an OHCA. He was treated for his OHCA and subsequently underwent neuropsychological testing less than 2 months following his hospital discharge. RESULTS: Expected results suggest impairments in key cognitive areas; however, a neuropsychological exam less than 2-months post-incident, testing pre-morbid IQ, overall cognitive ability, processing speed, attention, executive functioning, language, visuospatial abilities, and memory; each showing normal or better results. Additionally, self and collateral report questionnaires examining cognitive and emotional functioning reported no difficulties and no major changes since his cardiac arrest. CONCLUSIONS: We speculate that this patient's exceptional outcome might be due to his cognitive reserve, and the immediateness of his intervention (5-10 min of CPR and return-of-spontaneous-circulation from an AED shock) and use of a saline cooling procedure upon arrival to the hospital. Overall, we highlight a patient with a remarkable cognitive outcome, utilizing data from neuropsychological testing within 2-months post-incident, and propose protective factors in neuropsychological functioning following an OHCA.

Benchmarking higher energy collision dissociation (HCD) by investigation of binding energies of gas-phase host-guest complexes of hemicryptophane cages.

Synthesis of host molecules that feature well-defined characteristics for molecular recognition of guest molecules is often a major aim of synthetic host-guest (H-G) chemistry. A key consideration in evaluating the selectivity of hosts and the affinities of guests is the measurement of binding energies of obtained H-G complexes. In contrast to nuclear magnetic resonance (NMR) or fluorescence measurements that are capable of measuring binding strengths in solution, mass spectrometry offers the opportunity to measure gas-phase binding energies. Presented in this article is a higher energy collision dissociation (HCD) approach for determining critical energies of dissociation of H-G complexes. Experiments were performed on electrospray ionization (ESI)-generated H-G pairs in an LTQ-XL/Orbitrap hybrid instrument. The presented HCD approach requires preliminary calibration of the internal energy distribution of generated ions that was achieved by the use of activation parameters that were known from previous low-energy collision-induced dissociation (low-energy CID) experiments. Internal energy deposition was modeled based on a truncated Maxwell-Boltzmann distribution and characteristic temperature (Tchar ). Using this method, critical energies of dissociation were determined for 10 H-G biologically relevant complexes of the heteroditopic hemicryptophane cage host (Host). Obtained results are compared with those found previously by low-energy CID. The use of this HCD technique is relatively straightforward, although its implementation does require knowledge (or a presumption) about the Arrhenius pre-exponential factor of the complexes to obtain their critical energies of dissociation.

Artificial Intelligence in Liver Transplantation.

BACKGROUND: Advancements based on artificial intelligence have emerged in all areas of medicine. Many decisions in organ transplantation can now potentially be addressed in a more precise manner with the aid of artificial intelligence. METHOD/RESULTS: All elements of liver transplantation consist of a set of input variables and a set of output variables. Artificial intelligence identifies relationships between the input variables; that is, how they select the data groups to train patterns and how they can predict the potential outcomes of the output variables. The most widely used classifiers to address the different aspects of liver transplantation are artificial neural networks, decision tree classifiers, random forest, and naïve Bayes classification models. Artificial intelligence applications are being evaluated in liver transplantation, especially in organ allocation, donor-recipient matching, survival prediction analysis, and transplant oncology. CONCLUSION: In the years to come, deep learning-based models will be used by liver transplant experts to support their decisions, especially in areas where securing equitability in the transplant process needs to be optimized.

Investigation of space charge effects and ion trapping capacity on direct introduction ultra-high-resolution mass spectrometry workflows for metabolomics.

Ultra-high-resolution mass spectrometry, in the absence of chromatography, is finding its place for direct analyses of highly complex mixtures, such as those encountered during untargeted metabolomics screening. Advances, however, have been tempered by difficulties such as uneven signal suppression experienced during electrospray ionization. Moreover, ultra-high-resolution mass spectrometers that use Orbitrap and ICR analyzers both suffer from limited ion trapping capacities, owing principally to space-charge effects. This study has evaluated and contrasted the above two types of Fourier transform mass spectrometers for their abilities to detect and identify by accurate mass measurement, small molecule metabolites present in complex mixtures. For these direct introduction studies, the Orbitrap Fusion showed a major advantage in terms of speed of analysis, enabling detection of 218 of 440 molecules (<2 ppm error, 500 000 resolution at m/z 200) present in a complex mixture in 5 min. This approach is the most viable for high-throughput workflows, such as those used in investigations involving very large cohorts of metabolomics samples. From the same mixture, 183 unique molecules were observed by FT-ICR in the broadband mode, but this number was raised to 235 when "selected ion monitoring-stitching" (SIM-stitching) was employed (<0.1 ppm error, 7 T magnet with dynamic harmonization cell, 1.8 million resolution at m/z 200, both cases). SIM-stitching FT-ICR thus offered the most complete detection, which may be of paramount importance in situations where it is essential to obtain the most complete metabolic profile possible. This added completeness, however, came at the cost of a more lengthy analysis time (120 min including manual treatment). Compared to the data presented here, future automation of processing, plus the use of absorption mode detection, segmented ion detection (stepwise detection of smaller width m/z sections), and higher magnetic field strengths, can substantially reduce FT-ICR acquisition times.

Chemoenzymatic synthesis of arabinomannan (AM) glycoconjugates as potential vaccines for tuberculosis.

Mycobacteria infection resulting in tuberculosis (TB) is one of the top ten leading causes of death worldwide in 2018, and lipoarabinomannan (LAM) has been confirmed to be the most important antigenic polysaccharide on the TB cell surface. In this study, a convenient synthetic method has been developed for synthesizing three branched oligosaccharides derived from LAM, in which a core building block was prepared by enzymatic hydrolysis in flow chemistry with excellent yield. After several steps of glycosylations, the obtained oligosaccharides were conjugated with recombinant human serum albumin (rHSA) and the ex-vivo ELISA tests were performed using serum obtained from several TB-infected patients, in order to evaluate the affinity of the glycoconjugate products for the human LAM-antibodies. The evaluation results are positive, especially compound 21 that exhibited excellent activity which could be considered as a lead compound for the future development of a new glycoconjugated vaccine against TB.

TUTORIAL: ION ACTIVATION IN TANDEM MASS SPECTROMETRY USING ULTRA-HIGH RESOLUTION INSTRUMENTATION.

Tandem mass spectrometry involves isolation of specific precursor ions and their subsequent excitation through collision-, photon-, or electron-mediated activation techniques in order to induce unimolecular dissociation leading to formation of fragment ions. These powerful ion activation techniques, typically used in between mass selection and mass analysis steps for structural elucidation, have not only found a wide variety of analytical applications in chemistry and biology, but they have also been used to study the fundamental properties of ions in the gas phase. In this tutorial paper, a brief overview is presented of the theories that have been used to describe the activation of ions and their subsequent unimolecular dissociation. Acronyms of the presented techniques include CID, PQD, HCD, SORI, SID, BIRD, IRMPD, UVPD, EPD, ECD, EDD, ETD, and EID. The fundamental principles of these techniques are discussed in the context of their implementation on ultra-high resolution tandem mass spectrometers. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.

No evidence for interactions of dimethylfumarate (DMF) and its main metabolite monomethylfumarate (MMF) with human cytochrome P450 (CYP) enzymes and the P-glycoprotein (P-gp) drug transporter.

Dimethylfumarate (DMF) has long been used as part of a fixed combination of fumaric acid esters (FAE) in some European countries and is now available as an oral monotherapy for psoriasis. The present investigation determined whether DMF and its main metabolite monomethylfumarate (MMF) interact with hepatic cytochrome P450 (CYP) enzymes and the P-glycoprotein (P-gp) transporter, and was performed as part of DMF's regulatory commitments. Although referred to in the available product labels/summary of product characteristics, the actual data have not yet been made publicly available. In vitro inhibition experiments using CYP-selective substrates with human liver microsomes showed 50% inhibitory concentrations (IC50) of >666 µmol/L for DMF and >750 µmol/L for MMF. MMF (≤250 µmol/L; 72 hours) was not cytotoxic in cultured human hepatocyte experiments and mRNA expression data indicated no CYP induction by MMF (1-250 µmol/L). DMF (≤6.66 mmol/L) showed moderate-to-high absorption (apparent permeability [Papp] ≥2.3-29.7 x 10-6 cm/s) across a Caucasian colon adenocarcinoma (Caco-2) cell monolayer, while MMF (≤7.38 mmol/L) demonstrated low-to-moderate permeability (Papp 1.2-8.9 × 10-6 cm/s). DMF was not a substrate for P-gp (net efflux ratios ≤1.22) but was a weak inhibitor of P-gp at supratherapeutic concentrations (estimated IC50 relative to solvent control of 1.5 mmol/L; [3H]digoxin efflux in Caco-2 cells). This inhibition is unlikely to be clinically relevant. MMF was not a substrate or inhibitor of P-gp. Thus, DMF and MMF should not affect the absorption, distribution, metabolism or excretion of coadministered drugs that are CYP and P-gp substrates.

Executive function training in chronic traumatic brain injury patients: study protocol.

BACKGROUND: Some individuals who sustain traumatic brain injuries (TBIs) continue to experience significant cognitive impairments chronically (months to years post injury). Many tests of executive function are insensitive to these executive function impairments, as such impairments may only appear during complex daily life conditions. Daily life often requires us to divide our attention and focus on abstract goals. In the current study, we compare the effects of two 1-month electronic cognitive rehabilitation programs for individuals with chronic TBI. The active program (Expedition: Strategic Advantage) focuses on improving goal-directed executive functions including working memory, planning, long-term memory, and inhibitory control by challenging participants to accomplish life-like cognitive simulations. The challenge level of the simulations increases in accordance with participant achievement. The control intervention (Expedition: Informational Advantage) is identical to the active program; however, the cognitive demand level is capped, preventing participants from advancing beyond a set level. We will evaluate these interventions with a military veteran TBI population. METHODS/DESIGN: One hundred individuals will be enrolled in this double-blinded clinical trial (all participants and testers are blinded to condition). Each individual will be randomly assigned to one of two interventions. The primary anticipated outcomes are improvement of daily life cognitive function skills and daily life functions. These are measured by a daily life performance task, which tests cognitive skills, and a survey that evaluates daily life functions. Secondary outcomes are also predicted to include improvements in working memory, attention, planning, and inhibitory control as measured by a neuropsychological test battery. Lastly, neuroimaging measures will be used to evaluate changes in brain networks supporting cognition pre and post intervention. DISCUSSION: We will test whether electronically delivered cognitive rehabilitation aimed at improving daily life functional skills will provide cognitive and daily life functional improvements for individuals in the chronic phase of TBI recovery (greater than 3 months post injury). We aim to better understand the cognitive processes involved in recovery and the characteristics of individuals most likely to benefit. This study will also address the potential to observe generalizability or to transfer from a software-based cognitive training tool toward daily life improvement. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03704116 . Retrospectively registered on 12 Oct 2018.

Identification of Postblast Residues by DART-High Resolution Mass Spectrometry Combined with Multivariate Statistical Analysis of the Kendrick Mass Defect.

The coupling of an atmospheric pressure ionization source (Direct Analysis in Real Time, DART) and a high-resolution mass spectrometer (Orbitrap) has enabled the rapid and efficient analysis of a variety of energetic formulations. This approach was used to generate mass spectra for 83 plastic explosives and polymer samples in less than 2 min per sample. To manually interpret and identify all of the constituent polymers and other interesting features in the acquired mass spectra is a tedious and time-consuming challenge. Instead, a methodology based on the systematic calculation of Kendrick mass defects (KMDs) was developed and implemented. Its application allowed the identification of the polymeric support present in each energetic formulation. The presence of polyisobutylene in PG2 has been confirmed thanks to this approach, and a mixture of polyisobutylene, polybutadiene, and polystyrene has been confirmed in the Semtex 10 formulation. The developed methodology has also permitted the observation of changes that occur to the polymeric composition of these formulations after a blast. It appears that the most adequate way to describe post blast polymer samples is that they are less oxygenated and, above all, more unsaturated than the original starting material. These conclusions were deduced with the aid of principal component analysis, which served to establish the main factors that differentiate the samples.

Toxicology in the Super-Resolution Era.

Light microscopy has played a central role in science for the past couple of hundred years and will continue to do so. Multiple super-resolution microscopy techniques have been in the headlines for smashing what for more than 100+ years was believed to be the limits of optical microscopy. This resolution improvement enables the visualization of molecular structures and processes on the nano scale. While certain scientific questions in toxicology can benefit from modalities within the super-resolution suite, due diligence is required for efficiency and to achieve optimal results. For a given hypothesis being tested, there are biophysical issues that need to be considered before heading down the super-resolution road. All commercially available super-resolution modalities, along with cautions and tips, will be discussed. © 2019 by John Wiley & Sons, Inc.

Biochemical Urine Testing of Adherence to Cardiovascular Medications Reveals High Rates of Nonadherence in People Attending Their Annual Review for Type 2 Diabetes.

OBJECTIVE: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a new method to objectively and robustly detect nonadherence. We applied this technique to study nonadherence to cardiovascular medications in people with type 2 diabetes (T2DM). RESEARCH DESIGN AND METHODS: Routine urine samples, received at the time of the annual diabetes review from 228 people with T2DM in primary care, were assessed for adherence by LC-MS/MS. RESULTS: A total of 28.1% patients (N = 64) were nonadherent to antidiabetic, antihypertensive, and/or lipid-lowering medications. Nonadherence to statins was the highest at 23.7%, and nonadherence to oral hypoglycemic agents was 9.3%. HbA1c, albumin-to-creatinine ratio, and lipid profiles were significantly higher in the patients who were nonadherent compared with those who were adherent to treatment. CONCLUSIONS: This unique study shows that routine urine samples can be used for adherence testing screening by LC-MS/MS and has demonstrated high nonadherence rates especially to statins in people with T2DM. Future intervention studies using LC-MS/MS as a diagnostic/therapeutic tool may help to improve clinical outcomes.

High-risk basal cell carcinoma excision in primary care: a retrospective observational study of compliance with NICE guidance.

OBJECTIVES: To assess compliance with 2010 National Institute for Health and Care Excellence (NICE) guidance on cancer services relating to the management of basal cell carcinomas (BCC) in the community, where except in specific circumstances it is recommended that only low-risk BCCs should be excised routinely. DESIGN AND SETTING: A retrospective observational study of the histopathology reports of BCC excisions received from primary care in two district general hospitals in the South of England. One hundred consecutive BCC excisions were analysed from each hospital. OUTCOME MEASURES: The numbers of high-risk BCCs excised in primary care according to histological subtype, anatomical site and age and if these excisions were compliant with NICE 2010 guidance. Completeness of excision and mention of BCC on histology request were secondary outcomes. RESULTS: Histologically high-risk subtypes were present in 32% (64/200) of BCCs excised in the community. Only 17/64 were excised by general practitioners (GPs) who were accredited to do so. Non-compliance regarding anatomical site occurred in 16% of samples; only one was non-compliant regarding patient age. There was a high overall rate of complete excision (94.5%) with variation in presence of the term BCC on histology request forms. CONCLUSIONS: NICE 2010 guidance relating to BCC excision in primary care was not followed in a considerable number of cases. Compliance with NICE 2010 guidance depends on the ability to recognise high-risk BCCs clinically and manage appropriately. It also shows that despite close supervision by secondary care, there are still failures of compliance.GP training in identification of subtypes of BCC might be improved, as well as an increase in numbers of GPs accredited to carry out high-risk BCC excisions. Difficulty in diagnosing high-risk histological subtypes of BCC preoperatively should be considered in any future revision of NICE guidance.

Investigation of activation energies for dissociation of host-guest complexes in the gas phase using low-energy collision induced dissociation.

A low-energy collision induced dissociation (CID) (low-energy CID) approach that can determine both activation energy and activation entropy has been used to evaluate gas-phase binding energies of host-guest (H-G) complexes of a heteroditopic hemicryptophane cage host (Zn (II)@1) with a series of biologically relevant guests. In order to use this approach, preliminary calibration of the effective temperature of ions undergoing resonance excitation is required. This was accomplished by employing blackbody infrared radiative dissociation (BIRD) which allows direct measurement of activation parameters. Activation energies and pre-exponential factors were evaluated for more than 10 H-G complexes via the use of low-energy CID. The relatively long residence time of the ions inside the linear ion trap (maximum of 60 s) allowed the study of dissociations with rates below 1 s-1 . This possibility, along with the large size of the investigated ions, ensures the fulfilment of rapid energy exchange (REX) conditions and, as a consequence, accurate application of the Arrhenius equation. Compared with the BIRD technique, low-energy CID allows access to higher effective temperatures, thereby permitting one to probe more endothermic decomposition pathways. Based on the measured activation parameters, guests bearing a phosphate (-OPO3 2- ) functional group were found to bind more strongly with the encapsulating cage than those having a sulfonate (-SO3 - ) group; however, the latter ones make stronger bonds than those with a carboxylate (-CO2 - ) group. In addition, it was observed that the presence of trimethylammonium (-N(CH3 )3 + ) or phenyl groups in the guest's structure improves the strength of H-G interactions. The use of this technique is very straightforward, and it does not require any instrumental modifications. Thus, it can be applied to other H-G chemistry studies where comparison of bond dissociation energies is of paramount importance.

CpeF is the bilin lyase that ligates the doubly linked phycoerythrobilin on ß-phycoerythrin in the cyanobacterium Fremyella diplosiphon.

Phycoerythrin (PE) is a green light-absorbing protein present in the light-harvesting complex of cyanobacteria and red algae. The spectral characteristics of PE are due to its prosthetic groups, or phycoerythrobilins (PEBs), that are covalently attached to the protein chain by specific bilin lyases. Only two PE lyases have been identified and characterized so far, and the other bilin lyases are unknown. Here, using in silico analyses, markerless deletion, biochemical assays with purified and recombinant proteins, and site-directed mutagenesis, we examined the role of a putative lyase-encoding gene, cpeF, in the cyanobacterium Fremyella diplosiphon. Analyzing the phenotype of the cpeF deletion, we found that cpeF is required for proper PE biogenesis, specifically for ligation of the doubly linked PEB to Cys-48/Cys-59 residues of the CpeB subunit of PE. We also show that in a heterologous host, CpeF can attach PEB to Cys-48/Cys-59 of CpeB, but only in the presence of the chaperone-like protein CpeZ. Additionally, we report that CpeF likely ligates the A ring of PEB to Cys-48 prior to the attachment of the D ring to Cys-59. We conclude that CpeF is the bilin lyase responsible for attachment of the doubly ligated PEB to Cys-48/Cys-59 of CpeB and together with other specific bilin lyases contributes to the post-translational modification and assembly of PE into mature light-harvesting complexes.

Investigation of Hemicryptophane Host-Guest Binding Energies Using High-Pressure Collision-Induced Dissociation in Combination with RRKM Modeling.

In advancing host-guest (H-G) chemistry, considerable effort has been spent to synthesize host molecules with specific and well-defined molecular recognition characteristics including selectivity and adjustable affinity. An important step in the process is the characterization of binding strengths of the H-G complexes that is typically performed in solution using NMR or fluorescence. Here, we present a mass spectrometry-based multimodal approach to obtain critical energies of dissociation for two hemicryptophane cages with three biologically relevant guest molecules. A combination of blackbody infrared radiative dissociation (BIRD) and high-pressure collision-induced dissociation (high-pressure CID), along with RRKM modeling, was employed for this purpose. For the two tested hemicryptophane hosts, the cage containing naphthyl linkages exhibited stronger interactions than the cage bearing phenyl linkages. For both cages, the order of guest stability is choline > acetylcholine > betaine. The information obtained by these types of mass spectrometric studies can provide new insight into the structural features that most influence the stability of H-G pairs, thereby providing guidance for future syntheses. Graphical Abstract.